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Speaker 1: Just in case you missed it, it's the top five

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Speaker 1: sports taggers of the day.

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Speaker 2: Now it's time for Dan Barrero's Top five and five

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Speaker 2: brought to you by Gutter Helmet of Minnesota. Never clean

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Speaker 2: your gutters again. Learn more at gutter helmet m dot com.

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Speaker 1: Are they calling Gus bus when he's in net for

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Speaker 1: Sweden the Wall of Stockholm?

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Speaker 2: I don't think so, although.

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Speaker 1: Today not so much because he gave up I think

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Speaker 1: a couple of soft goals kept Italy.

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Speaker 2: In the game.

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Speaker 1: Eventually, the however, the Italians did did fade, giving up

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Speaker 1: sixty shots on goals. That's a tough knight for any

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Speaker 1: who's their goalie because that guy's he's solid. A couple

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Speaker 1: of people have nominated him that maybe Garon while he's

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Speaker 1: over there, should consider, you know a little if we

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Speaker 1: because if we trade Volstat and Flower doesn't want to

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Speaker 1: come out of retirement, we're gonna need o their goalie.

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Speaker 1: But you know what, so there it is. That's the

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Speaker 1: beauty of being the guy in charge of this thing.

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Speaker 1: You're you're in the you're in the middle of all

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Speaker 1: of it, right, and you've got great opportunities to scout

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Speaker 1: on your own exactly right on Team USA's dime, Craig

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Speaker 1: Leopold doesn't even have to.

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Speaker 2: Pay for it. You are correct, all right.

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Speaker 1: I want to start outside of Minnesota for the top five.

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Speaker 1: At five, I want to start with Golden State, although

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Speaker 1: there is kind of a local angle because the player

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Speaker 1: I'm about to talk about had to play a lot

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Speaker 1: last year in the Western Conference semi finals against the

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Speaker 1: Minnesota Timberwolves. His name is Jonathan Kaminga. You've been around

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Speaker 1: the block a lot longer than me. I don't know

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Speaker 1: if there's ever been a player who has done less

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Speaker 1: that has been discussed more than Jonathan Kaminga. Very well said,

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Speaker 1: and maybe it's because people like saying Kaminga. I think

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Speaker 1: that may be solve it. If his name was Jonathan Smith,

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Speaker 1: probably less interest. I he's got way even the as

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Speaker 1: a guy who can manufacture outrageo ver silly stuff.

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Speaker 2: I still am going to go on.

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Speaker 1: A limb and say the level of outrage about you

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Speaker 1: know what, you know, free Kamingo.

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Speaker 2: Let him go.

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Speaker 1: It's like he's not consequential enough for me on any level.

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Speaker 1: But because it's a story and during the offseason there

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Speaker 1: wasn't much else to talk about, he became daily fought

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Speaker 1: Christ Mill among NBA media jackals.

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Speaker 2: But go ahead, and it's I get it.

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Speaker 1: Because he was a top ten picky, He was highly

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Speaker 1: thought of, he was highly touted.

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Speaker 2: I get all of those things.

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Speaker 1: And he probably wasn't a great fit for the Steve

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Speaker 1: Kerr slash Steph Curry slash Jimmy Butler Klay Thompson at

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Speaker 1: times offense, he was a bucket against us for a

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Speaker 1: couple of games, and then that kind of faded out,

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Speaker 1: which I also think vindicated Kerr that what are we

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Speaker 1: really doing here? Like he's the only guy we have

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Speaker 1: and we still can't score, so what are we going

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Speaker 1: to do? But he eventually ended up getting traded, right,

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Speaker 1: they finally moved on.

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Speaker 2: And we got my favorite.

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Speaker 1: I think for me, this is one of the funniest

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Speaker 1: things I've ever heard, as when you're doing part of

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Speaker 1: the schism, Yeah, you're doing the pros and cons of

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Speaker 1: the Kaminga era, correct, not whether or not he can

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Speaker 1: score or he's working on his game.

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Speaker 2: Another one was they didn't like. One of them was

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Speaker 2: they didn't.

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Speaker 1: Like, apparently that he had his own personal trainer and

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Speaker 1: he would work out away from the facilities which I

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Speaker 1: would say, I mean, you're not playing him.

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Speaker 2: You clearly don't want him.

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Speaker 1: I don't blame him for going out and getting some

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Speaker 1: extra work, what's wrong with that? But I just want

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Speaker 1: to read this paragraph from the ESPN story had to

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Speaker 1: do December tenth, a couple of months ago, Kaminga and

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Speaker 1: Steve Kerr they had to have a meeting and it

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Speaker 1: was Kaminga was prepared for the conversation. He knew management

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Speaker 1: wanted to ding him for missing a team requested event

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Speaker 1: and alert him that someone around him was taking too

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Speaker 1: much food from the family room.

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Speaker 2: It's too good. It's absolutely too good of all the things. Yes,

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Speaker 2: well they're doing the ledger.

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Speaker 1: Like you said, there may be like this is that

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Speaker 1: one was worth like ten items on the other side

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Speaker 1: because it's so egregious think about it. They at somebody

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Speaker 1: actually thought not only that it was worth mentioning, but

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Speaker 1: it was worth leaking in a story that was sort

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Speaker 1: of explaining.

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Speaker 2: Well, you know, how did you get how did he

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Speaker 2: how did it end up going bad? Well?

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Speaker 1: How did the schism develop between Cominga and the Warriors? Well,

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Speaker 1: one of the big things was, I mean I had

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Speaker 1: a friend who just kept going back and getting more

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Speaker 1: and more food.

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Speaker 2: I mean, we it became untenable at some point. I'm

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Speaker 2: just glad's on that kaminga.

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Speaker 1: Glenn Mason was saying, Cominga is lucky that I'm not

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Speaker 1: his friend, because I may have gotten him in trouble.

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Speaker 2: I would have kept going back to the food line.

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Speaker 2: Is very good.

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Speaker 1: It just cracks me up because of all the the

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Speaker 1: Golden State Warriors. By the way, they're owned by the

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Speaker 1: Lake of Family right or Lake of Joe Lac. He's

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Speaker 1: a billionaire. They just privately financed a four billion dollar

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Speaker 1: Chase Center in downtown San Francisco. I don't know if

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Speaker 1: it's downtown, but it's close. It's on the water. I

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Speaker 1: was there for Game four. Oh good for me, So

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Speaker 1: that's what they're looking at. It just it cracks me up.

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Speaker 1: It just cracks me up that, well, what's another thing

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Speaker 1: we can get him on, Bob, Well, like Uncle Dennis

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Speaker 1: for Kawhi, you know Pablo Torre's doing. And a whole

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Speaker 1: other thing about the money the LLC's that Uncle Dennis

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Speaker 1: has been starting and getting allegedly millions of dollars more

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Speaker 1: for Kawhi. Leonard that is under the table and they're

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Speaker 1: skirting the salary cap. That's what one that's what Kawhi

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Speaker 1: Leonard's family members doing and getting these these sham deals. Meanwhile,

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Speaker 1: one of Kaminga's friends or families just taking a couple

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Speaker 1: extra hot dogs.

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Speaker 2: Too good. It's it was my favorite. It's it's the best.

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Speaker 2: It's one of the most It's.

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Speaker 1: One of the sneaky great sports stories of the day.

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Speaker 1: There's no question about that. Maybe the week, perhaps even

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Speaker 1: the month, nas Reed might need some free hot dogs

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Speaker 1: because he has been fined thirty five thousand dollars both

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Speaker 1: he and the It's not going to help his foul mood.

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Speaker 2: No kidding, you're right.

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Speaker 1: The Atlanta Hawk that he got in a fight with,

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Speaker 1: they've both been fined thirty five grand for their altercation.

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Speaker 1: Chris him called it a kerfuffle. He used the bumble

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Speaker 1: good term. Chris signed from the starch mute said kerfuffle.

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Speaker 1: And so it's thirty five thousand dollars for naz Red

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Speaker 1: that was announced today. But he can play tonight as

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Speaker 1: the Timberwolves wrap up their pre All Star Game portion

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Speaker 1: of the schedule with the Portland Trailblazers in town. The

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Speaker 1: Portland Trailblazers are in town. And as I pull up

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Speaker 1: the standings, the Timberwolves are thirty two and twenty two,

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Speaker 1: thirty three and twenty two.

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Speaker 2: I should see in six or seven.

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Speaker 1: We are in six, a half game ahead of the

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Speaker 1: Phoenix Suns. Sons are they're one of the great stories

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Speaker 1: of the year. Yes, they got rid of all.

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Speaker 2: Of their alleged superstar talent and they're better. Think about it.

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Speaker 1: Well, they still got the guard, they still got him,

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Speaker 1: but Devin Booker, Booker, but the rest of it. Yeah,

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Speaker 1: Belle gone and already heard Durant gone. Durant gone. In Houston,

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Speaker 1: it's working out well for the Rockets. They're the three

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Speaker 1: seed right now. So the Wolves are a game and

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Speaker 1: a half out of the third spot. San Antonio Davies

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Speaker 1: kind of separating for the second spot right now. Oklahoma

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Speaker 1: City's forty one and thirteen. The Spurs are three and

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Speaker 1: a half games back of them, but three and a

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Speaker 1: half games ahead of the Houston Rockets. You mentioned I

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Speaker 1: didn't want to give you one other what I thought

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Speaker 1: was funny, one other nugget from Twitter today, And there's

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Speaker 1: reasons why you just can't quit the site. Even though

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Speaker 1: I'd love to some days, especially nowadays. Matt Ishbia tweet, man,

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Speaker 1: where is it? Let me get to Bill Simmons, because

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Speaker 1: did you see that Bill Simmons and matt Ishbia dust

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Speaker 1: up no pretty good stuff and I think I'm on

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Speaker 1: simmons side here. Ishia is the is the owner, is

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Speaker 1: the owner of the Suns. One of the was going

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Speaker 1: to buy us and then buy the White Sox. Right

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Speaker 1: matt Ishbia this morning tweets this out, thirty two wins

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Speaker 1: for the Suns and all before the All Star break.

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Speaker 1: I think that puts us above your season prediction bet

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Speaker 1: of under thirty one and a half wins. Bill Simmons,

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Speaker 1: you guys usually have great content and good stuff. Thanks

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Speaker 1: for all you do, but also keep your eye on

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Speaker 1: the Suns. Like I told you, we have different culture

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Speaker 1: and team in Phoenix these days. We still have a

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Speaker 1: long way to go, but we are working hard to

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Speaker 1: get there.

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Speaker 2: Go Suns.

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Speaker 1: So he wakes up today with thirty two victories and

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Speaker 1: wants to chirp the sports guy. Simmons notices this is

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Speaker 1: a great response. I think he's kind of getting cooked

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Speaker 1: for it, but I think it's great. Congratulations on a

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Speaker 1: very good season. So far, I've enjoyed watching you guys

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Speaker 1: and think you picked a terrific coach, fun league pass team.

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Speaker 2: For the record, I.

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Speaker 1: Picked the Suns to win fifty plus games last season

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Speaker 1: and never heard a peep from you when you went

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Speaker 1: thirty six and forty six, So I was wrong twice.

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Speaker 2: That's good. That is a good company. It's great. That's

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Speaker 2: great company. It's so good. It's harmless. It's fun.

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Speaker 1: It is.

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Speaker 2: It's very harmless, very very true. That's pretty good.

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Speaker 1: Did you see also, somebody I can't remember the name

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Speaker 1: of the person was on with Simmons and the discussion

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Speaker 1: was is there any way to save the NBA All

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Speaker 1: Star Game? Oh, I didn't see this, And the answer

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Speaker 1: from the other individual was half serious, half kidding.

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Speaker 2: I think, Oh, I think I did see this was to.

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Speaker 1: Say, forget the US versus the world. If you made

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Speaker 1: it simply black players versus white players, the ratings would

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Speaker 1: go through the roof and similar because you know, half chockoling,

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Speaker 1: half like all my aunt even make this up. I

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Speaker 1: don't who is the guy who was on with him?

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Speaker 1: I can't right long hair, yeah, right, yes, I have

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Speaker 1: seen it. So I didn't know that was with Simmons.

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Speaker 1: That's fine.

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Speaker 2: That was with Simmons, Yeah, exactly it.

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Speaker 1: Simmons also said the NBA has got some serious problems,

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Speaker 1: so the load management and the people not playing games

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Speaker 1: join the club man. We've been talking about that forever.

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Speaker 1: It's about time he got on it. But he doesn't

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Speaker 1: know if Silver's the guy to fix it.

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Speaker 2: He's not.

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Speaker 1: Yeah, no, I'll answer he's not. He's already proven that

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Speaker 1: he doesn't. I think for him, he doesn't. I think

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Speaker 1: he gets lost in his own fairness. If that doesn't

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Speaker 1: sound too preposterous, Oh, that's great, David Stern at certain

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Speaker 1: moments understood, I can't be an effective commissioner if I

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Speaker 1: worry about fair I have to be the boss exactly.

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Speaker 1: And I don't understand. I don't think. I think he's

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Speaker 1: too decent of a guy. That's a great description and

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Speaker 1: signs exactly where it goes.

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Speaker 2: I don't know.

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Speaker 1: I know there's a there's a ton of discussion about

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Speaker 1: it right now because part of it is a belief

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Speaker 1: that this draft is going to be historic.

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Speaker 2: Yeah right, yeah, and like five or six players who

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Speaker 2: are all considered superstar potentially or superstar material potentially, and

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Speaker 2: so again teams are saying, we'll change the rules if

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Speaker 2: you don't like it. I mean, I gotta do what

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Speaker 2: I gotta do.

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Speaker 1: We've been terrible forever and if this gives us our

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Speaker 1: best chance to get good, we're gonna do it.

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Speaker 2: I hate it.

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Speaker 1: I can't stand it, but it's a part of the issue.

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Speaker 1: A Fani mus to give you a shots to win

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Speaker 1: Bonus bucks. It is our national cash contest. A keyword

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Speaker 1: for the five o'clock hour today. The final one of

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Speaker 1: the afternoon is gold. Oh gold, like the Olympics.

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Speaker 2: Huh.

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Speaker 1: Go to Cafe dot com and enter the keyword goal.

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Speaker 1: We got Kessler about fifteen minutes. I got another Winter

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Speaker 1: Olympic nugget that we that definitely has a local angle

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Speaker 1: which we must discuss. And we'll get to a couple

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Speaker 1: of other texts and who knows what else when we return.

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Speaker 1: Dave Chappelle returns of Minnesota February sixteenth with very special

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Speaker 1: guest clips. Don't miss out on this one off, one

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Speaker 1: of a kind set at Grand Casino Arena. The new

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Speaker 1: X tickets are on sale now. All the details Cafe

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Speaker 1: dot com keyword calendar.

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Speaker 2: Do you have a.

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Speaker 1: Iowa wild as in the minor league team. Yeah, pronunciation

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Speaker 1: key Well, Brett Blakemore is he still here? He would

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Speaker 1: be the guy that's his squad And I just asked

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Speaker 1: this question. We got an answer. It might have been

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Speaker 1: from Falness. I think it was from Falness, but I

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Speaker 1: don't see Blake Moore. I cannot remember how to pronounce

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Speaker 1: our Iowa Wild goaltender. Last name is spelled h Lava

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Speaker 1: j and it's kind of important for us to know

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Speaker 1: it today, especially because he too has already made his

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Speaker 1: mark in the Winter Olympics. Oh wow, as the goaltender

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Speaker 1: for Slovakia. Slovakia upset Finland today four to one. He

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Speaker 1: stopped thirty eight of thirty nine shots. That's not a

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Speaker 1: bad start for him, and he's ours. So you know

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Speaker 1: what this is going to encourage trading the wall of

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Speaker 1: Saint Paul exactly Volston because it looks like we got

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Speaker 1: the next tender and waiting, and he performed admirably first

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Speaker 1: game preliminary round in uh in Italy on behalf of

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Speaker 1: his Slovakia club four to one victory. I can't remember

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Speaker 1: how to sounds good to me. That's one phonetic. The

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Speaker 1: other one is Lava allav is Faaldness. Uh No, he

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Speaker 1: wouldn't be like in the studio because he's got no

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Speaker 1: reason to be in the studio right now.

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Speaker 2: Because he needs to be Yeah, that's very very true.

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Speaker 1: Anyway, that was I thought a worthy Winter Olympic nugget

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Speaker 1: with a bit of a local angle there as well.

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Speaker 1: And we got Flower in waiting. We need to bring

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Speaker 1: him out of retirement. So that's pretty impressive debut. I mean,

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Speaker 1: that's pretty good work on uh on his part. I

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Speaker 1: had one other item. Well, no, that's it. That's good

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Speaker 1: enough for Winter Olympics stuff. Let me get to a

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Speaker 1: couple of other texts. Lawyer Thomas back. He suggests that

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Speaker 1: Adam Silver would have taken only three first round picks

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Speaker 1: from the walls for the U justmith.

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Speaker 2: If if that? If that? Yeah, that's very very true, Davy.

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Speaker 1: I think eventually, pretty sure, eventually Stern gave at least

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Speaker 1: one or two of them back.

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Speaker 2: I remember start out as five, wasn't it. Yeah, I

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Speaker 2: think so it was. I mean, want to talk about draconian.

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Speaker 2: It was off the charts.

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Speaker 1: It was unprecedented, and I think he even he felt

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Speaker 1: a little bit of guilt. It took a little bit

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Speaker 1: of pity. Well, he watched the Wolves in seasons, he

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Speaker 1: watched one of his great players of all time, Kevin

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Speaker 1: Arnette languishing.

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Speaker 2: Yeah, that might have had something to do with it too.

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Speaker 1: KG didn't have anything to do with it, except he'd

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Speaker 1: really liked Joe Smith, and that's probably why they tried.

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Speaker 2: To sign him.

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Speaker 1: As no doubt, I've heard some buzz about the possibily

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Speaker 1: of Malik Willis acquisition for the purposaufseason.

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Speaker 2: Thoughts on that. I would be interested. I would be

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Speaker 2: shocked if the Packers dealt him. Here do is he

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Speaker 2: under contract? I thought he was a free agent.

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Speaker 1: Let's find out. I thought he's a free agent. Jones

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Speaker 1: is still under contract. I think that would have to

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Speaker 1: be a trade the Niners guy. I thought that Malik

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Speaker 1: Willis was a free agent. You can double check he's

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Speaker 1: a free agent. Yeah, I think again. He's gonna want

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Speaker 1: as we talked about with Seafert, He's gonna want a

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Speaker 1: sure thing. He's gonna want to be handed the starter's

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Speaker 1: job because somebody's going to do that for him, I think.

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Speaker 2: And and by the way, I don't.

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Speaker 1: Think he's a sure thing at all, but he's intriguing

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Speaker 1: that you're in that position where they're gonna be warts

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Speaker 1: on any of the quarterbacks that you're talking about. That's true,

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Speaker 1: and that's where it's going to be such a monumental decision,

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Speaker 1: just a momentous decision for this club, because you've got

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Speaker 1: to be right on it if you're really going to

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Speaker 1: give yourself a hedge in case it doesn't go well for.

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Speaker 2: JJ McCarthy.

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Speaker 1: So all that has to be another reason why this

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Speaker 1: offseason is so incredibly direct traumatic KAMINGA. Here's a callback

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Speaker 1: to your MINGA item in the top five was drafted

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Speaker 1: with our pick that we set with Wiggans to Golden State.

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Speaker 2: Is that true? That is true?

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Speaker 1: Yes, that makes sense. And by the way, has DLO

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Speaker 1: yet reported to Washington? I think he was traded. He

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Speaker 1: was in Dallas and a bunch of people as part

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Speaker 1: of the the Anthony Davis deal. But the last I'd

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Speaker 1: seen is the DLO had he not shown up because

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Speaker 1: they told him they were going to buy him out

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Speaker 1: or he just said was he pouting and said I'm

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Speaker 1: not going to go anywhere. I'm not going to play

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Speaker 1: anywhere any anymore. I doubt that he would do that

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Speaker 1: because he's gonna lose money on that deal, isn't he

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Speaker 1: The reports here are that he's refusing to report. Well,

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Speaker 1: he's earned it. I mean, when you have his track

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Speaker 1: record and.

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Speaker 2: His you know, his.

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Speaker 1: Level of success attained, you're gonna be You're gonna say, no,

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Speaker 1: I'm platting my feet. Not gonna be a problem. Will Dawkins,

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Speaker 1: the GM in Washington with D'Angelo. We've talked to him,

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Speaker 1: talk to his representatives at the time. He's not going

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Speaker 1: to report as we try to figure out what's best

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Speaker 1: for him and us in our future.

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Speaker 2: So it might be bought out. I don't know even

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Speaker 2: know what to say.

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Speaker 1: Yeah, somebody saying we got one of the picks back

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Speaker 1: that Stern originally took away from us, and we drafted

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Speaker 1: dooty Eb with that pick.

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Speaker 2: Is that true? Well, I mean the timeline would it

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Speaker 2: makes sense? Yeah?

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Speaker 1: And the nd EB and it was lost the call

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Speaker 1: who pronounced it duty eb he thought the I think

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Speaker 1: he thought the end was silent and I think it

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Speaker 1: was nb U d I it was And.

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Speaker 2: He just he had the wrong letter being silent. Where

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Speaker 2: is it? It's in here somewhere you have it still?

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Speaker 2: Oh yeah, it's on one of our main pages. I

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Speaker 2: just can't find it here.

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Speaker 1: It is doody e B because he fortunate he had

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Speaker 1: a good McDonald's All American Game half against Lebron James.

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Speaker 2: Leslie Fraser's calling me right now? Is he really? Can

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Speaker 2: you say? Can you start talking for a second? I

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Speaker 2: probably could? Yeah, see what's going on? So we're trying

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Speaker 2: to get the former Vikings head coach. He just hung

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Speaker 2: up former We're gonna break here in a minute. Yeah,

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Speaker 2: I mean you could break. I didn't want to lose

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Speaker 2: it because I what if he doesn't call back, What

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Speaker 2: if he.

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Speaker 1: Never calls again. Leslie's two nice a guy. He is

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Speaker 1: a pretty nice guy. That's where you're probably going to

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Speaker 1: apologize that he didn't connect him.

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Speaker 2: Dan.

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Speaker 1: I like to apologize, and I'm sorry I called during

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Speaker 1: the show. I'm out here in Seattle. It's three o'clock.

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Speaker 1: I didn't know you were starting book him for tomorrow.

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Speaker 1: When you call him back, Yeah, I can't wait. I

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Speaker 1: hope we can get him on that' that'd be a

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Speaker 1: lot of fun. Another super Bowl for Leslie Frasier. You

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Speaker 1: say that with a kind of admiration and a little

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Speaker 1: bit of disgust. No, I don't have anything not against him.

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Speaker 1: You wouldn't, but you just haven't had it come close

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Speaker 1: to being able to enjoy that. Never the closest we've

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Speaker 1: ever really been is nineteen ninety eight. I guess two

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Speaker 1: thousand and nine. Those two thousand and nine was yeah,

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Speaker 1: and nine were very close. I think that team was

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Speaker 1: better equipped to win at all too. I agree in

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Speaker 1: ninety eighteen had that they were injury ravaged off that game. Yep,

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Speaker 1: they were just saying, I know it's a possibility someday.

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Speaker 2: There's the other.

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Speaker 1: There's a lot of good texts that have come in

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Speaker 1: during the Done as a Society segment that I'll leave

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Speaker 1: those for another day. I thought I feared you'd be

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Speaker 1: proud of me. I hadn't during the top five. I

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Speaker 1: didn't lose myself in those You're right, you were very engaged.

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Speaker 2: I thought I was.

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Speaker 1: I mean, you just let that go. You got to

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Speaker 1: reinforce that right because I so rarely do it. You're right, well,

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Speaker 1: I but I but on the front end, I knew

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Speaker 1: I had you hooked with the Kaminga. If I had

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Speaker 1: done something that you weren't so interested in, that's probably true.

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Speaker 1: But the Kaminga thing, I'm glad you knew about it.

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Speaker 1: That's what always hurts me is when I bring up

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Speaker 1: something you don't know about and then if I then

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Speaker 1: I get lost in the text. And that's the problem.

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Speaker 1: That's did Tanya Hardy wants to say this as an

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Speaker 1: olympian teammates sam mates? Did she want to say that

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Speaker 1: is when the when the the Battle Royal was going

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Speaker 1: on between her and carrying? Maybe it's certainly it's believable,

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Speaker 1: is it not? Given what when I kind of on

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Speaker 1: her mates? There's still people who don't believe. There's people

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Speaker 1: who think that story is like we we we landed

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Speaker 1: on the moon story. They don't believe it because it's

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Speaker 1: just it strains credulity.

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Speaker 2: It does the.

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Speaker 1: Assault on Nancy Kerrigan right by another American by another American.

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Speaker 1: I think tiny Harding wasn't from Russia, wasn't like a

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Speaker 1: Cold War thing? Was Galilee the good Was Galuley the

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Speaker 1: boyfriend and Stant the goon?

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Speaker 2: Or was.

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Speaker 1: Galuley the goon and Stant the boyfriend? I think Galuley

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Speaker 1: was the boyfriend. I think you're right, Jeff Galuley his name,

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Speaker 1: wasn't it infamous? Yeah, I'll never forget it. Whatever happened

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Speaker 1: to him, whatever happened to Shane stant happen an Nancy

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Speaker 1: Kerrigan she married a NHL guy.

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Speaker 2: Oh, that's right.

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Speaker 1: And Tanya Harding. They made a movie out of her. Yes,

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Speaker 1: she's done a lot. She's done a lot of stuff. Well,

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Speaker 1: she needs money, I mean she's capitalized off her infamy. Kergan,

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Speaker 1: I think prefers to be in the background problem. Yeah,

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Speaker 1: I think you're right about that.

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Speaker 2: So I got Kesler coming up? Is that the plan?

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Speaker 2: He's here, I've already talked to him.

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Speaker 1: I've got an extra I got a bonus story for

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Speaker 1: him that was not going to be on his list.

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Speaker 1: I'm very curious to get his reaction to it, and

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Speaker 1: we'll get into some other stuff with special k Pat

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Speaker 1: Kessler uh six four six eighty six. That's the branch

436
00:21:14,960 --> 00:21:17,480
Speaker 1: on bran k fa N text line back in a minute.

437
00:21:17,840 --> 00:21:20,359
Speaker 1: I wish the American media would take a great look

438
00:21:20,640 --> 00:21:22,840
Speaker 1: at the views of the people in conference and find

439
00:21:22,880 --> 00:21:26,080
Speaker 1: out are they pro America or anti America? At Kessler,

440
00:21:26,280 --> 00:21:28,600
Speaker 1: because people have got to know whether or not their

441
00:21:28,640 --> 00:21:33,240
Speaker 1: presidents are prop I can't trust Obama, He's an air

442
00:21:33,560 --> 00:21:37,880
Speaker 1: Pat Kessler, tear down the dish wall This is Pat Kestlers.

443
00:21:37,359 --> 00:21:41,520
Speaker 2: Nothing wrong at the Minneapolis Airport. Senator, You're no Jack Kennedy.

444
00:21:41,640 --> 00:21:44,000
Speaker 2: Pat Kesler. This is Pat Kessler recording.

445
00:21:44,080 --> 00:21:48,320
Speaker 1: To help Dan break down all the tough questions in politics.

446
00:21:48,640 --> 00:21:54,520
Speaker 2: It's our own Kessler political Walk. I feel like a supermodel,

447
00:21:54,560 --> 00:21:58,840
Speaker 2: except like times ten, it's Channel Force Matt Kessler with

448
00:21:59,200 --> 00:22:03,280
Speaker 2: Dan Burrow on the fan. What kind of legacy do

449
00:22:03,359 --> 00:22:05,640
Speaker 2: I leave? I just did the best job.

450
00:22:05,680 --> 00:22:15,040
Speaker 1: I Galilee is a goon special k makes ladies swoon

451
00:22:15,640 --> 00:22:18,720
Speaker 1: io taking the Wolves to the moon Wolves and five

452
00:22:20,720 --> 00:22:23,480
Speaker 1: that is a really good one. I did look up Galilee,

453
00:22:24,080 --> 00:22:27,040
Speaker 1: and so was he Galuley was that was that was

454
00:22:27,080 --> 00:22:30,040
Speaker 1: the He was the muscle. He's the one who proved husband.

455
00:22:30,560 --> 00:22:35,400
Speaker 1: Oh yeah, Stamp was the muscle. So he was the

456
00:22:35,400 --> 00:22:38,479
Speaker 1: brains behind.

457
00:22:40,119 --> 00:22:42,439
Speaker 2: Yeah. I mean what a time that was. Do we

458
00:22:42,480 --> 00:22:46,120
Speaker 2: have that sound still? Guardsy Nancy Kerrigan remember going.

459
00:22:48,320 --> 00:22:48,720
Speaker 3: My own?

460
00:22:48,800 --> 00:22:50,840
Speaker 2: That's so good and actually what you know, it's sad

461
00:22:50,840 --> 00:22:53,240
Speaker 2: about it. At the time she got mocked for that.

462
00:22:53,440 --> 00:22:58,800
Speaker 2: I know, I know, privileged girl. They tried to they

463
00:22:58,880 --> 00:23:01,560
Speaker 2: basically tried to murder her, but to try to end

464
00:23:01,600 --> 00:23:03,919
Speaker 2: her career, which didn't. They did that end it for her.

465
00:23:04,640 --> 00:23:05,679
Speaker 2: Did she recover from that?

466
00:23:05,800 --> 00:23:08,000
Speaker 1: I mean she tried to skate then. I don't know

467
00:23:08,000 --> 00:23:09,879
Speaker 1: if she ever came back or not. I don't remember

468
00:23:09,920 --> 00:23:11,640
Speaker 1: what was it today? You was it a ball peen

469
00:23:11,760 --> 00:23:13,240
Speaker 1: hammer on her leg? There was?

470
00:23:13,320 --> 00:23:15,160
Speaker 2: It was a little hammer. It was a little ham.

471
00:23:15,400 --> 00:23:16,760
Speaker 2: I mean, how sick is that?

472
00:23:16,920 --> 00:23:20,639
Speaker 3: Okay, so we're talking about whatever drama there is in

473
00:23:20,680 --> 00:23:21,399
Speaker 3: this Olympics.

474
00:23:21,480 --> 00:23:25,720
Speaker 2: Yeah, that was. That's nothing. Oh, that's true. We used

475
00:23:25,800 --> 00:23:28,479
Speaker 2: up all the well the story.

476
00:23:29,200 --> 00:23:31,720
Speaker 1: Yeah, in today's twenty four to seven news cycle, it

477
00:23:31,720 --> 00:23:35,200
Speaker 1: would never end, it would never end, the internet would explode.

478
00:23:34,800 --> 00:23:37,520
Speaker 2: You'd barely cover the events. Yeah.

479
00:23:37,560 --> 00:23:39,800
Speaker 3: So then all the movies, I mean, go look at

480
00:23:39,840 --> 00:23:42,840
Speaker 3: the movies. I Tanya, which was she was? I never

481
00:23:42,880 --> 00:23:45,680
Speaker 3: saw that movie. I heard, great movie.

482
00:23:45,760 --> 00:23:47,639
Speaker 2: Yeah. Does she endorse it or does she think it

483
00:23:47,680 --> 00:23:48,600
Speaker 2: was too mean to her?

484
00:23:48,640 --> 00:23:51,800
Speaker 1: I don't remember, don't recall. Yeah, but that that was, Yeah,

485
00:23:51,840 --> 00:23:54,560
Speaker 1: I mean what a time. Tanya Harding was one of

486
00:23:54,600 --> 00:23:57,080
Speaker 1: celebrity worst cooks. Was very good on it.

487
00:23:57,680 --> 00:23:58,160
Speaker 2: I was watching.

488
00:23:58,200 --> 00:23:59,760
Speaker 1: It was hard to believe what her people were involved

489
00:23:59,760 --> 00:24:01,760
Speaker 1: in with the Olympics. I don't remember that she did

490
00:24:01,800 --> 00:24:02,399
Speaker 1: boxing too.

491
00:24:02,520 --> 00:24:05,960
Speaker 2: For a while. She's been on a lot of reality shows.

492
00:24:06,359 --> 00:24:10,920
Speaker 2: That's interest. Yeah, since since leaving skating and she went boxing.

493
00:24:11,119 --> 00:24:12,520
Speaker 2: I looked this up right before we came on.

494
00:24:13,040 --> 00:24:18,040
Speaker 3: Yes, she she worked as a welder, a painter at

495
00:24:18,080 --> 00:24:24,800
Speaker 3: a metal fabrication plant, in a hardware sales clerk at Sears.

496
00:24:25,040 --> 00:24:27,960
Speaker 2: Come on, that's that's a very eclectic mix. Yeah it is.

497
00:24:28,320 --> 00:24:30,520
Speaker 2: I mean that's quite so. You know on social.

498
00:24:30,200 --> 00:24:32,800
Speaker 3: Media they say take your top five jobs, you know,

499
00:24:32,880 --> 00:24:34,359
Speaker 3: take your five jobs and put them up.

500
00:24:34,400 --> 00:24:35,360
Speaker 2: Yeah, she's had a.

501
00:24:35,280 --> 00:24:37,200
Speaker 1: Lot of I can't see you as being a very

502
00:24:37,280 --> 00:24:40,280
Speaker 1: effective welder. Me, Yeah, you're not nutsing.

503
00:24:40,359 --> 00:24:42,320
Speaker 2: Why would you say, because I don't think your manual

504
00:24:42,400 --> 00:24:47,000
Speaker 2: labor you know than me. You know nothing about me.

505
00:24:47,160 --> 00:24:49,000
Speaker 2: You grew up on a farm, that's true. She had

506
00:24:49,000 --> 00:24:50,919
Speaker 2: to do some manual labor in the farm, right, A

507
00:24:50,920 --> 00:24:56,960
Speaker 2: lot of a lot of welding. You you're from your

508
00:24:56,960 --> 00:24:58,960
Speaker 2: hands have had too much moisture, you know.

509
00:24:59,160 --> 00:25:03,399
Speaker 3: How b I mean, well, how many? Okay, let me

510
00:25:03,440 --> 00:25:06,800
Speaker 3: ask you this. Sure where you lived growing up? Yes,

511
00:25:06,960 --> 00:25:11,000
Speaker 3: did you have a machine shed? No?

512
00:25:11,160 --> 00:25:11,840
Speaker 2: But we had.

513
00:25:12,080 --> 00:25:15,439
Speaker 1: I mean my grandparents from grandfathers, both of them were

514
00:25:15,800 --> 00:25:18,600
Speaker 1: working the steel mill, so they were good.

515
00:25:18,640 --> 00:25:22,479
Speaker 2: They were manual laborers. Sure, for sure. Now if we

516
00:25:22,520 --> 00:25:25,560
Speaker 2: had to do us uncapable, incapable of it. But so

517
00:25:25,600 --> 00:25:27,280
Speaker 2: they didn't have the welding and all that.

518
00:25:27,400 --> 00:25:29,200
Speaker 1: But they had They did a lot of their own work,

519
00:25:29,320 --> 00:25:31,720
Speaker 1: like in the basement. They they were they were very

520
00:25:31,800 --> 00:25:33,120
Speaker 1: good and very handy.

521
00:25:33,280 --> 00:25:36,160
Speaker 3: I am innaugerating here, because if we had any welding

522
00:25:36,200 --> 00:25:37,639
Speaker 3: to do any kind of that heavy.

523
00:25:37,359 --> 00:25:39,200
Speaker 2: Work, yeah, we would just take it up the road

524
00:25:39,840 --> 00:25:40,840
Speaker 2: to hire it out.

525
00:25:40,920 --> 00:25:45,240
Speaker 3: The town of Dale, Minnesota, Dale, Mindale, d a l E, Minnesota,

526
00:25:45,320 --> 00:25:47,200
Speaker 3: population six.

527
00:25:47,280 --> 00:25:51,399
Speaker 2: Any Stoplets population six. You're making that up.

528
00:25:51,440 --> 00:25:54,840
Speaker 3: I'm not making it up. And Owen Gole was the dude,

529
00:25:54,920 --> 00:25:57,040
Speaker 3: and he god some and they he probably did a

530
00:25:57,040 --> 00:26:00,600
Speaker 3: good business because he was all farmers brought their broken

531
00:26:00,640 --> 00:26:02,160
Speaker 3: tractor axles and all that stuff.

532
00:26:02,320 --> 00:26:04,000
Speaker 2: That's pretty good. It was great. Yeah.

533
00:26:04,200 --> 00:26:09,080
Speaker 1: In the course of your political reporting career, how many

534
00:26:10,520 --> 00:26:13,359
Speaker 1: sports arena stories do you think you covered?

535
00:26:13,960 --> 00:26:14,160
Speaker 2: Oh?

536
00:26:14,200 --> 00:26:17,280
Speaker 1: Gosh, many because many never came to fruition. Yeah, that's

537
00:26:17,320 --> 00:26:20,320
Speaker 1: also true. Yeah, so you covered you obviously. When the

538
00:26:20,359 --> 00:26:23,119
Speaker 1: North Stars are going through their stuff at the Mets Center,

539
00:26:23,680 --> 00:26:24,439
Speaker 1: you're already reported.

540
00:26:24,520 --> 00:26:26,520
Speaker 3: Well, I want, I want to say I'm not that old,

541
00:26:26,960 --> 00:26:30,240
Speaker 3: but but I am I'm eighty some years probably covered it.

542
00:26:30,280 --> 00:26:33,640
Speaker 2: Yeah, I've been through that. You've been through several iterations.

543
00:26:33,119 --> 00:26:37,000
Speaker 1: Wins one, Yeah, the Twinins, the ballpark crisis.

544
00:26:36,480 --> 00:26:40,080
Speaker 3: And the best stadium in the NFL, YA, the People Stadium.

545
00:26:39,680 --> 00:26:44,160
Speaker 1: People Stadium, the Vikings, University of Minnesota, you of m Wild,

546
00:26:44,560 --> 00:26:47,600
Speaker 1: Target Center, Target Center. Yeah, you went through all these.

547
00:26:47,920 --> 00:26:50,520
Speaker 1: I ask you because I'm looking.

548
00:26:50,560 --> 00:26:58,520
Speaker 2: Apparently A Rod just spoke yesterday at the University of Minnesota.

549
00:26:58,600 --> 00:27:00,320
Speaker 2: This is a speaker series with the car else In

550
00:27:00,400 --> 00:27:04,480
Speaker 2: School of Management. Wow, and that's pretty cool. The sub

551
00:27:05,240 --> 00:27:06,320
Speaker 2: this story, let me quote.

552
00:27:06,359 --> 00:27:10,040
Speaker 1: This is from an NPR News story regarding what he

553
00:27:10,119 --> 00:27:12,679
Speaker 1: had to say there, and I want you to I

554
00:27:12,720 --> 00:27:14,760
Speaker 1: want to give you a couple of the quotes to

555
00:27:14,960 --> 00:27:19,800
Speaker 1: introduce the subject of what you think the climate is

556
00:27:19,880 --> 00:27:20,760
Speaker 1: right right now?

557
00:27:20,800 --> 00:27:23,800
Speaker 2: For another arena. Here's what A Rod said.

558
00:27:24,400 --> 00:27:27,760
Speaker 1: Back in the day, it was really a vanity or

559
00:27:27,760 --> 00:27:31,240
Speaker 1: a luxury to have as in a new arena. Today

560
00:27:31,600 --> 00:27:37,240
Speaker 1: it's a necessity, and it's a necessity to compete. I

561
00:27:38,280 --> 00:27:41,880
Speaker 1: would say it really was never a luxury. I mean,

562
00:27:41,920 --> 00:27:45,400
Speaker 1: we've needed arenas here forever. It goes back decades. But

563
00:27:45,440 --> 00:27:49,920
Speaker 1: the question is whether by the way he has said,

564
00:27:49,960 --> 00:27:51,800
Speaker 1: and this is not he has We've heard this from

565
00:27:51,840 --> 00:27:56,200
Speaker 1: many different people. Expects to secure funding mostly through private investment.

566
00:27:56,760 --> 00:27:58,439
Speaker 1: Also said he expects it to be a five to

567
00:27:58,480 --> 00:28:00,879
Speaker 1: seven year project, which we've heard well. Triet Center, by

568
00:28:00,920 --> 00:28:04,800
Speaker 1: the way, for the record, is the second oldest arena

569
00:28:04,840 --> 00:28:09,760
Speaker 1: in the NBA, which is fascinating. It's incredible. Yeah, that's incredibleest.

570
00:28:09,200 --> 00:28:14,760
Speaker 2: Second oldest. Two what's the only arena older United c No,

571
00:28:14,880 --> 00:28:18,159
Speaker 2: I can't be ready. Boston's got a new one.

572
00:28:18,760 --> 00:28:21,640
Speaker 1: It's the most famous arena in the world. It is,

573
00:28:22,080 --> 00:28:25,919
Speaker 1: according to them, the Garden Madison Square, which is going

574
00:28:25,960 --> 00:28:26,119
Speaker 1: to go.

575
00:28:26,320 --> 00:28:27,200
Speaker 2: Yeah, you can't.

576
00:28:28,560 --> 00:28:28,800
Speaker 3: Got it.

577
00:28:28,920 --> 00:28:30,400
Speaker 2: Yeah, they moved it a couple of times.

578
00:28:30,560 --> 00:28:33,880
Speaker 3: Yeah, of course we should absolutely know that. So I

579
00:28:33,920 --> 00:28:37,880
Speaker 3: do not disagree with him on this. I do think

580
00:28:37,920 --> 00:28:40,840
Speaker 3: that it is a necessity. Uh and you know my

581
00:28:40,920 --> 00:28:44,600
Speaker 3: feeling about having publicly funded and it's interesting to hear

582
00:28:44,680 --> 00:28:47,560
Speaker 3: him say that it's going to be mostly privately funded.

583
00:28:47,840 --> 00:28:50,000
Speaker 3: I think that would make it go quite a long way.

584
00:28:50,240 --> 00:28:54,200
Speaker 3: I think there would be an absolute appetite for it

585
00:28:54,280 --> 00:28:57,480
Speaker 3: here in the Twin Cities. Where will it go is

586
00:28:57,560 --> 00:29:00,200
Speaker 3: going to be the big question? Now when I talk

587
00:29:00,280 --> 00:29:03,400
Speaker 3: to him about a month or so ago. He didn't

588
00:29:03,480 --> 00:29:04,040
Speaker 3: say this.

589
00:29:04,520 --> 00:29:09,240
Speaker 2: What what you want to see a picture? No, No,

590
00:29:09,440 --> 00:29:13,280
Speaker 2: I don't know. I'm surprised we haven't. Okay, that's good.

591
00:29:13,680 --> 00:29:17,960
Speaker 2: That's good. That is the thing. I think.

592
00:29:18,000 --> 00:29:21,520
Speaker 3: I do agree that this has become a necessity for

593
00:29:21,720 --> 00:29:25,280
Speaker 3: pro sports teams, but also more importantly for owners who

594
00:29:25,320 --> 00:29:27,000
Speaker 3: need to have a return on the investment.

595
00:29:27,320 --> 00:29:28,160
Speaker 2: No doubt about it.

596
00:29:28,840 --> 00:29:31,760
Speaker 1: They have already made a couple of billion dollars on

597
00:29:31,800 --> 00:29:35,680
Speaker 1: the Timberwolves just by signing the papers. The question is

598
00:29:35,720 --> 00:29:38,440
Speaker 1: going to be where, where is it going to be located?

599
00:29:38,480 --> 00:29:41,400
Speaker 1: And how much state funding will go in?

600
00:29:41,720 --> 00:29:46,280
Speaker 3: And I still think there is an appetite for state funding.

601
00:29:46,520 --> 00:29:49,000
Speaker 3: And I'm not talking about fifty percent like it was

602
00:29:49,040 --> 00:29:51,680
Speaker 3: with the Vikings, but I think if there it was

603
00:29:51,800 --> 00:29:54,200
Speaker 3: less than that, I think there would be some interest

604
00:29:54,760 --> 00:29:55,120
Speaker 3: in that.

605
00:29:55,360 --> 00:29:57,160
Speaker 2: The devil's going to always be the details and got

606
00:29:57,360 --> 00:29:59,880
Speaker 2: it somewhere. You got to have it where there's light rail,

607
00:30:00,120 --> 00:30:01,000
Speaker 2: You've got to have it there.

608
00:30:01,040 --> 00:30:04,479
Speaker 3: So there are only a limited number of places you

609
00:30:04,520 --> 00:30:07,040
Speaker 3: can put it unless you're going to move it out

610
00:30:07,080 --> 00:30:08,160
Speaker 3: into Fridley.

611
00:30:08,280 --> 00:30:10,480
Speaker 2: Well, I don't and I don't think they want to

612
00:30:10,520 --> 00:30:10,920
Speaker 2: do that.

613
00:30:11,120 --> 00:30:13,840
Speaker 1: I think, but the question is what is the does

614
00:30:13,880 --> 00:30:16,000
Speaker 1: the footprint exist and you got to buy up a

615
00:30:16,000 --> 00:30:18,400
Speaker 1: lot of properties and all that, there's a lot of

616
00:30:19,400 --> 00:30:22,680
Speaker 1: I think actually the other battle is going to be

617
00:30:22,680 --> 00:30:24,400
Speaker 1: I think with the city council. I think the mayor

618
00:30:24,720 --> 00:30:27,320
Speaker 1: is going to be more sympathetic to it than city council.

619
00:30:27,360 --> 00:30:29,880
Speaker 1: Now you're back to whether the mayor, the mayor can

620
00:30:30,040 --> 00:30:32,520
Speaker 1: you know, can veto some stuff from the city council.

621
00:30:33,120 --> 00:30:35,600
Speaker 1: I think that's there's gonna be a bigger battle with

622
00:30:35,640 --> 00:30:36,880
Speaker 1: them than there will be with the mayor.

623
00:30:36,960 --> 00:30:38,320
Speaker 2: I think that's probably true.

624
00:30:38,640 --> 00:30:41,160
Speaker 3: You've got state funding that could be done again with

625
00:30:41,560 --> 00:30:45,480
Speaker 3: to pay off the debt, with the gambling, the online

626
00:30:45,520 --> 00:30:48,520
Speaker 3: gambling that you opposed so much back when the Vikings

627
00:30:48,520 --> 00:30:49,320
Speaker 3: were trying to do it.

628
00:30:49,840 --> 00:30:55,880
Speaker 1: Uh, the the online poll tabs, remember that. Yeah, that

629
00:30:55,960 --> 00:31:00,360
Speaker 1: was that was a big one, so huge. I think

630
00:31:00,440 --> 00:31:02,360
Speaker 1: where it's going to go is going to be important.

631
00:31:02,440 --> 00:31:02,800
Speaker 2: I agree.

632
00:31:02,840 --> 00:31:06,840
Speaker 3: You talk about where the Star Tribune had its publishing

633
00:31:06,880 --> 00:31:09,240
Speaker 3: plant until a couple of months ago, and there's some

634
00:31:09,360 --> 00:31:11,760
Speaker 3: talk about that area. Yeah, you're right, So there are

635
00:31:11,800 --> 00:31:15,120
Speaker 3: there are places to put it. Uh, there is limited

636
00:31:15,520 --> 00:31:18,800
Speaker 3: public funding available, Yeah, limited at best at this point. Yes,

637
00:31:19,040 --> 00:31:19,760
Speaker 3: I totally agree.

638
00:31:19,840 --> 00:31:22,000
Speaker 2: So you probably weren't talking like maybe tax breaks.

639
00:31:22,040 --> 00:31:25,320
Speaker 1: Then that's where they maybe they get helped me a

640
00:31:25,360 --> 00:31:26,000
Speaker 1: little bit more.

641
00:31:26,080 --> 00:31:28,360
Speaker 2: You know you're going to have to have to redo

642
00:31:28,360 --> 00:31:30,200
Speaker 2: all the roads and all of that.

643
00:31:30,320 --> 00:31:33,120
Speaker 3: Yeah, sure, but I think that's where they start, and

644
00:31:33,520 --> 00:31:37,120
Speaker 3: I think people might be supportive if the new ownership

645
00:31:37,160 --> 00:31:38,200
Speaker 3: is going to pay a majority.

646
00:31:38,320 --> 00:31:40,160
Speaker 2: Have you ever considered.

647
00:31:41,240 --> 00:31:48,320
Speaker 1: Calling yourself a recovering narcissist, because you know that's what

648
00:31:48,440 --> 00:31:50,480
Speaker 1: a Rod has caused himself.

649
00:31:50,480 --> 00:31:52,480
Speaker 2: Oh no, I said, Oh then I shouldn't laugh.

650
00:31:52,560 --> 00:31:56,600
Speaker 1: Alex Rodriy just calls himself a recovering this game. This

651
00:31:56,920 --> 00:31:59,400
Speaker 1: goes back aways, but it comes up every once in

652
00:31:59,440 --> 00:32:02,840
Speaker 1: a while when he speaks publicly, as in Roder. You

653
00:32:02,840 --> 00:32:05,600
Speaker 1: know a Rod Kama who refers to himself as a

654
00:32:05,640 --> 00:32:06,760
Speaker 1: recovering narcissist.

655
00:32:06,920 --> 00:32:10,280
Speaker 2: Kyle, So would you, I mean, would you ever use

656
00:32:10,360 --> 00:32:10,840
Speaker 2: that for you?

657
00:32:11,120 --> 00:32:15,360
Speaker 3: I'm arcist, I'm no, I'm a practicing narcissist at the

658
00:32:15,360 --> 00:32:20,640
Speaker 3: moments that I'm in I'm in, I would not. I

659
00:32:21,200 --> 00:32:23,520
Speaker 3: know that everybody in this business, and if you're at

660
00:32:23,520 --> 00:32:26,800
Speaker 3: that level that he is is you know that there's

661
00:32:26,920 --> 00:32:30,880
Speaker 3: narcissism an ego involved, not in radio, not in this,

662
00:32:31,160 --> 00:32:32,080
Speaker 3: not in this, not here.

663
00:32:32,160 --> 00:32:35,560
Speaker 2: Definitely, maybe you know other things, other programs, but now

664
00:32:35,600 --> 00:32:36,320
Speaker 2: I know other shows.

665
00:32:36,600 --> 00:32:39,800
Speaker 1: Yeah for sure. I just wondered. I love the term

666
00:32:40,320 --> 00:32:41,720
Speaker 1: a recovering narcissist.

667
00:32:41,800 --> 00:32:45,520
Speaker 2: How do you recover? Allegedly you're you're become more self

668
00:32:45,520 --> 00:32:46,880
Speaker 2: aware of your narsy.

669
00:32:47,040 --> 00:32:49,200
Speaker 1: I think I've always looked at An A Rod's cases.

670
00:32:49,240 --> 00:32:50,960
Speaker 1: He knows he gets ripped by a lot of people.

671
00:32:51,520 --> 00:32:54,880
Speaker 1: So he said, Okay, I'm going to try to be proactive.

672
00:32:54,880 --> 00:32:58,640
Speaker 1: I'm gonna rip myself and maybe that'll discourage people from

673
00:32:58,720 --> 00:33:01,800
Speaker 1: ripping me. I'll say, yeah, you're right, I was, you know,

674
00:33:01,800 --> 00:33:04,479
Speaker 1: because he was often accused of being a narcissist. So

675
00:33:04,520 --> 00:33:06,480
Speaker 1: I'm going to say, yeah, I was, and now I'm

676
00:33:06,480 --> 00:33:08,240
Speaker 1: working through it. I'm trying to recover.

677
00:33:08,600 --> 00:33:12,280
Speaker 3: Well, if you were going through a recovery program with

678
00:33:12,400 --> 00:33:17,080
Speaker 3: therapy and he was, okay, so he was, God bless him.

679
00:33:17,080 --> 00:33:17,600
Speaker 2: Power to you.

680
00:33:17,800 --> 00:33:21,120
Speaker 1: Now there are some people in our society who are

681
00:33:21,360 --> 00:33:27,960
Speaker 1: extreme narcissists in our political Well, yeah, I don't know

682
00:33:27,960 --> 00:33:30,440
Speaker 1: why you're bringing this up. I'm not you're bringing it up.

683
00:33:30,600 --> 00:33:32,840
Speaker 1: Oh no, I didn't bring it up in a political sense.

684
00:33:32,960 --> 00:33:34,400
Speaker 1: You're bringing up in a political sense.

685
00:33:34,480 --> 00:33:37,480
Speaker 2: Just own it. Oh, don't pretend you're not. I have

686
00:33:37,520 --> 00:33:40,720
Speaker 2: one other question before we get to some other stuff.

687
00:33:42,000 --> 00:33:44,320
Speaker 2: So in this same story, I'm trying to figure out

688
00:33:44,360 --> 00:33:46,840
Speaker 2: what to make of this. There's quotes also from the

689
00:33:46,960 --> 00:33:51,160
Speaker 2: new Timberwolves and Link CEO Matt Caldwell, who I've met.

690
00:33:51,400 --> 00:33:53,720
Speaker 2: I think, well, a lot of people I think have

691
00:33:53,800 --> 00:33:56,400
Speaker 2: met him, either you know, publicly or privately. He's had

692
00:33:56,400 --> 00:33:59,560
Speaker 2: a couple off the record sessions with media, jackals, et cetera.

693
00:34:00,600 --> 00:34:02,920
Speaker 2: And he must have been there too, because he said

694
00:34:04,360 --> 00:34:08,560
Speaker 2: Caldwell said, this is a guy came from Florida. The

695
00:34:08,600 --> 00:34:10,840
Speaker 2: Wolves are continuing to bring in new system to increase

696
00:34:10,880 --> 00:34:13,040
Speaker 2: revenue in the meantime. Okay, we get that they've added

697
00:34:13,080 --> 00:34:15,120
Speaker 2: a new ticket system called Jump, but we talked about

698
00:34:15,200 --> 00:34:17,120
Speaker 2: Jump before Guardee. We talked about it. This is the

699
00:34:17,160 --> 00:34:18,000
Speaker 2: time I thought we did.

700
00:34:18,880 --> 00:34:22,520
Speaker 1: Here's what's interesting to me about He says, the sports

701
00:34:22,560 --> 00:34:24,680
Speaker 1: industry is still a little bit archaic in that they

702
00:34:24,719 --> 00:34:27,080
Speaker 1: don't have a lot of data on their fans. You

703
00:34:27,120 --> 00:34:30,759
Speaker 1: can't get to know them, he said, also said they're

704
00:34:30,760 --> 00:34:33,920
Speaker 1: planning on incorporating more artificial intelligence into their ticket pricing.

705
00:34:33,920 --> 00:34:36,280
Speaker 1: This includes using models and incorporate factors like the weather,

706
00:34:36,520 --> 00:34:39,640
Speaker 1: teams playing, and even the political environment to adjust pricing

707
00:34:40,000 --> 00:34:42,720
Speaker 1: per game day. All these things we're generally doing somewhat manually.

708
00:34:42,760 --> 00:34:45,200
Speaker 1: But AI is going to be able to get us

709
00:34:45,440 --> 00:34:48,239
Speaker 1: the price every second. What's the exact penny that we

710
00:34:48,239 --> 00:34:53,480
Speaker 1: should be going up or down to maximize revenue? So

711
00:34:54,320 --> 00:34:55,920
Speaker 1: what does he mean about we don't really have a

712
00:34:55,960 --> 00:34:58,000
Speaker 1: lot of data on our fans and.

713
00:34:58,080 --> 00:34:58,960
Speaker 2: What are you looking for?

714
00:34:59,080 --> 00:35:03,160
Speaker 1: Like, if you're in his position, what are you looking

715
00:35:03,200 --> 00:35:06,560
Speaker 1: for from that data that he thinks that teams have

716
00:35:07,600 --> 00:35:09,880
Speaker 1: a sports franchises historically have not done.

717
00:35:09,719 --> 00:35:11,680
Speaker 2: A good enough job of doing. I think they're looking

718
00:35:11,680 --> 00:35:12,319
Speaker 2: for either one of them.

719
00:35:12,320 --> 00:35:14,880
Speaker 3: I think that's absolutely true, and guards to you you

720
00:35:15,320 --> 00:35:18,360
Speaker 3: jump in here, because I think that the Vikings have

721
00:35:18,480 --> 00:35:20,319
Speaker 3: done quite a bit of this kind of research, and

722
00:35:20,719 --> 00:35:23,120
Speaker 3: I would call it market research. And maybe I'm wrong

723
00:35:23,200 --> 00:35:29,720
Speaker 3: about that. The Vikings season ticket holders live in certain areas,

724
00:35:29,760 --> 00:35:31,799
Speaker 3: and the Vikings know exactly where they are.

725
00:35:32,120 --> 00:35:35,040
Speaker 2: I presume that the Timberwolves do too. I just thought

726
00:35:35,080 --> 00:35:37,520
Speaker 2: everybody did this these may it sound like that so much? Well,

727
00:35:37,560 --> 00:35:41,239
Speaker 2: if you're using AI, that's an entirely new tool. That's true.

728
00:35:41,280 --> 00:35:44,719
Speaker 3: So will it be dynamic pricing based on if people

729
00:35:44,760 --> 00:35:47,359
Speaker 3: are showing up, if people are leaving, if you're I mean,

730
00:35:47,440 --> 00:35:48,520
Speaker 3: what are they going to charge?

731
00:35:48,920 --> 00:35:50,960
Speaker 2: I think it's probably smart to look at that.

732
00:35:51,719 --> 00:35:54,200
Speaker 3: So these are all new ideas that I don't think

733
00:35:54,239 --> 00:35:55,960
Speaker 3: we have heard out of the Timberwolves.

734
00:35:56,360 --> 00:36:01,080
Speaker 2: I'm going to say, ever, tell me I'm wrong. Me, Well,

735
00:36:01,120 --> 00:36:03,120
Speaker 2: I'm just trying to fit. It sounds cool, but I

736
00:36:03,640 --> 00:36:04,120
Speaker 2: want to know.

737
00:36:04,200 --> 00:36:06,759
Speaker 1: I want to all what actually means, Well, you're using

738
00:36:06,840 --> 00:36:10,399
Speaker 1: like the Timberwolves app, it's how expensive the tickets are

739
00:36:10,400 --> 00:36:13,359
Speaker 1: that you're buying, what you're buying them for. If they

740
00:36:13,400 --> 00:36:15,879
Speaker 1: send an alert that says, hey, this is our deal

741
00:36:15,920 --> 00:36:17,480
Speaker 1: for today. Do you buy it? Do you not buy it?

742
00:36:17,520 --> 00:36:19,160
Speaker 1: What do you buy when you're in the venue? That's

743
00:36:19,160 --> 00:36:21,759
Speaker 1: another thing. What are you using in terms of your

744
00:36:21,760 --> 00:36:23,920
Speaker 1: perks as a season ticket member or is just someone

745
00:36:23,920 --> 00:36:26,560
Speaker 1: that shows up? There's a million different things they can

746
00:36:26,800 --> 00:36:27,560
Speaker 1: literally learn that.

747
00:36:27,719 --> 00:36:30,840
Speaker 3: Yeah, how do you aggregate all of that data of

748
00:36:30,880 --> 00:36:34,279
Speaker 3: people who come, people who buy, people who sell, who

749
00:36:34,320 --> 00:36:38,520
Speaker 3: their fans are, based on their income levels and their

750
00:36:38,640 --> 00:36:43,760
Speaker 3: locations geographically. I mean, there's so much to know I'm interested.

751
00:36:43,440 --> 00:36:46,720
Speaker 1: Like, for example, that Chapotle CEO has made some waves

752
00:36:46,719 --> 00:36:49,319
Speaker 1: this week because on their earnings call, he mentioned to

753
00:36:49,400 --> 00:36:53,680
Speaker 1: investors that sixty percent they've determined sixty percent of their

754
00:36:53,719 --> 00:36:58,719
Speaker 1: customers are high earners six figures are more. So they

755
00:36:58,719 --> 00:37:02,640
Speaker 1: have no issues raising the because our audiences. He basically says,

756
00:37:02,640 --> 00:37:04,440
Speaker 1: our customers are loyal. We're going to lean into the

757
00:37:04,440 --> 00:37:06,359
Speaker 1: fact that they make good money and don't care what

758
00:37:06,360 --> 00:37:07,200
Speaker 1: our prices are going to be.

759
00:37:07,280 --> 00:37:08,960
Speaker 2: Essentially is what he said, if you want to be

760
00:37:09,000 --> 00:37:09,680
Speaker 2: cynical about it.

761
00:37:09,719 --> 00:37:12,200
Speaker 1: So I imagine as much as the wolves want to

762
00:37:12,280 --> 00:37:16,040
Speaker 1: learn about their people, they are looking for stuff like that, Wow,

763
00:37:16,160 --> 00:37:18,200
Speaker 1: sixty percent of our customers might have not heard that,

764
00:37:18,640 --> 00:37:20,840
Speaker 1: and they will come and they will buy the burrito

765
00:37:20,880 --> 00:37:24,120
Speaker 1: balls no matter what the price is. Guac no guac,

766
00:37:24,480 --> 00:37:27,560
Speaker 1: guac extra and move on. Well, they're paying extra for

767
00:37:27,640 --> 00:37:29,520
Speaker 1: the Guacamolean anyway, exactly.

768
00:37:29,880 --> 00:37:32,040
Speaker 2: That's why I said it, and they know that.

769
00:37:32,280 --> 00:37:34,560
Speaker 1: So that's an example of we feel like we can

770
00:37:34,640 --> 00:37:36,759
Speaker 1: raise our prices because this is what we've learned about

771
00:37:36,760 --> 00:37:39,959
Speaker 1: our people. Well, we'll see the Yeah, we've talked about

772
00:37:39,960 --> 00:37:43,640
Speaker 1: this before. The other thing they're battling at Target center,

773
00:37:45,360 --> 00:37:48,080
Speaker 1: not including the obvious, which is, you know, the age

774
00:37:48,080 --> 00:37:51,759
Speaker 1: of the facility is this, and it was intentionally done

775
00:37:51,800 --> 00:37:52,320
Speaker 1: at the time.

776
00:37:52,400 --> 00:37:53,200
Speaker 2: You may remember this.

777
00:37:53,760 --> 00:37:57,200
Speaker 1: There are more It's the only arena in North America,

778
00:37:57,280 --> 00:37:59,400
Speaker 1: I believe, in which there are more seats on the

779
00:37:59,520 --> 00:38:03,359
Speaker 1: upper level than the lower level. That's incredible, it is

780
00:38:03,440 --> 00:38:06,520
Speaker 1: and not and not good anymore. But as I recall it,

781
00:38:06,560 --> 00:38:10,160
Speaker 1: for Harv and Marv, the theory behind it was, we

782
00:38:10,239 --> 00:38:13,279
Speaker 1: want to make this, we want to actually have.

783
00:38:13,280 --> 00:38:17,319
Speaker 2: More seats where it's affordable. That was the idea. Now

784
00:38:17,360 --> 00:38:19,000
Speaker 2: that was the controversy.

785
00:38:18,440 --> 00:38:21,400
Speaker 1: When they built it, too, because they're using public money

786
00:38:21,400 --> 00:38:24,319
Speaker 1: exactly right, and they didn't have you know, they weren't rich,

787
00:38:24,560 --> 00:38:27,640
Speaker 1: certainly by today's standards. They were rich, but they were

788
00:38:27,640 --> 00:38:30,520
Speaker 1: not billionaire rich by any means. Now it's the worst

789
00:38:30,520 --> 00:38:34,400
Speaker 1: case scenario where because those tickets are not considered as

790
00:38:34,440 --> 00:38:36,600
Speaker 1: desirable because it's just you're you know, you're.

791
00:38:36,840 --> 00:38:37,680
Speaker 2: Ways up there.

792
00:38:37,840 --> 00:38:39,960
Speaker 1: It's the only arena in which it's upside down, so

793
00:38:40,040 --> 00:38:42,960
Speaker 1: to speak, which I thought was kind of interesting. By

794
00:38:42,960 --> 00:38:45,800
Speaker 1: the way, a couple of things real quick on herding.

795
00:38:49,600 --> 00:38:51,279
Speaker 1: The tiny harding was the only skater at the time

796
00:38:51,280 --> 00:38:54,200
Speaker 1: they could land the triple axle, that cecil from Maple Grove.

797
00:38:54,600 --> 00:38:56,799
Speaker 1: That sounds right now you've got the quad god.

798
00:38:56,960 --> 00:39:02,640
Speaker 2: Yeah right. Uh. Kragan won the silver that year. Yeah. Well,

799
00:39:02,640 --> 00:39:03,080
Speaker 2: because she.

800
00:39:03,040 --> 00:39:06,160
Speaker 1: Had her knee bab they rearranged when she was able

801
00:39:06,200 --> 00:39:08,719
Speaker 1: to do her Olympic tryout, so they made special dispensation.

802
00:39:09,680 --> 00:39:12,440
Speaker 2: But he's answering my question. She did recover.

803
00:39:12,680 --> 00:39:14,600
Speaker 1: I did not remember that, probably not as much as

804
00:39:14,640 --> 00:39:17,560
Speaker 1: she wanted, but it didn't like it did not necessarily

805
00:39:17,680 --> 00:39:20,960
Speaker 1: end her career. Doctor Phil Wright's My favorite part of

806
00:39:20,960 --> 00:39:26,560
Speaker 1: the party in kragan drama was after Karragan won the silver,

807
00:39:26,640 --> 00:39:29,080
Speaker 1: she still went to Disneyland. If you remember the parade,

808
00:39:29,080 --> 00:39:31,320
Speaker 1: people could pick her out saying this is so corny.

809
00:39:31,840 --> 00:39:35,799
Speaker 1: Later she went on SNL and then her monologue she

810
00:39:35,880 --> 00:39:37,520
Speaker 1: tried to straighten out any confusion told.

811
00:39:37,360 --> 00:39:40,719
Speaker 2: Her when she was saying, I don't remember that, I'll

812
00:39:40,760 --> 00:39:43,400
Speaker 2: leave that alone. It was a very uneven Saturday Night

813
00:39:43,480 --> 00:39:45,000
Speaker 2: live performance. Oh do you remember?

814
00:39:45,040 --> 00:39:48,319
Speaker 1: I remember it vividly, not remember watching it in my grandparents'

815
00:39:48,400 --> 00:39:51,000
Speaker 1: place in Cedar Falls, Iowa. And it was a big

816
00:39:51,040 --> 00:39:53,440
Speaker 1: deal because we were all obviously all of us were

817
00:39:53,440 --> 00:39:56,960
Speaker 1: watching the Olympics, especially because of that and then I

818
00:39:57,000 --> 00:39:58,960
Speaker 1: remember watching it and even as a twelve year old,

819
00:39:59,040 --> 00:40:01,719
Speaker 1: going this is not great, not the best at.

820
00:40:03,320 --> 00:40:05,879
Speaker 3: I don't know, well, who is a who is a

821
00:40:05,920 --> 00:40:11,240
Speaker 3: better Nancy Carrigan, Nancy Carrigan or Margot Robbie.

822
00:40:12,960 --> 00:40:16,080
Speaker 2: Think about it? That's yeah, I think about it. We'll come,

823
00:40:16,160 --> 00:40:17,480
Speaker 2: we'll we'll have to think about that.

824
00:40:18,360 --> 00:40:22,200
Speaker 1: One other thing for you, Kessler, have you all ever

825
00:40:22,239 --> 00:40:24,360
Speaker 1: thought about how the Kessler intro says I didn't do

826
00:40:24,360 --> 00:40:26,600
Speaker 1: anything wrong with the Minneapolis Airport immediately filed by its

827
00:40:26,640 --> 00:40:30,640
Speaker 1: pat Kessler almost applies it was Kessler saying it. I'm

828
00:40:30,640 --> 00:40:32,799
Speaker 1: guessing those of a younger audience are not tracking the

829
00:40:32,840 --> 00:40:34,920
Speaker 1: senator from what if?

830
00:40:35,440 --> 00:40:39,480
Speaker 2: What if I was in the stall next.

831
00:40:39,239 --> 00:40:44,120
Speaker 1: To Stance, the white Stance guy, the senator from Utah?

832
00:40:45,080 --> 00:40:48,360
Speaker 2: Is he still believe right? I believe he is. He

833
00:40:48,480 --> 00:40:50,640
Speaker 2: just came up. We did. We just looked him up.

834
00:40:50,760 --> 00:40:52,759
Speaker 2: I don't remember that, is that true? Yes, we looked

835
00:40:52,800 --> 00:40:54,480
Speaker 2: him up a couple of months.

836
00:40:55,000 --> 00:40:57,920
Speaker 1: I'm gonna save a lot of the ice stuff for

837
00:40:58,040 --> 00:41:00,239
Speaker 1: next segment, but I want to I do want to

838
00:41:00,239 --> 00:41:01,920
Speaker 1: get to this text. It came in early for you

839
00:41:02,600 --> 00:41:07,800
Speaker 1: from Brian out of Mantraville Kesler does. Does Kessler think

840
00:41:08,360 --> 00:41:11,960
Speaker 1: Clobashar would appoint al Franken to finish her term if

841
00:41:12,000 --> 00:41:16,600
Speaker 1: she gets elected governor? She kind of had him fall

842
00:41:16,600 --> 00:41:18,520
Speaker 1: on the sword when the Trump tape came out.

843
00:41:18,520 --> 00:41:19,640
Speaker 2: That's Brian from Mantraville.

844
00:41:19,680 --> 00:41:22,799
Speaker 3: What do you think that would be an incredible news

845
00:41:22,840 --> 00:41:26,440
Speaker 3: story if that happened. I don't see that happening. I

846
00:41:26,520 --> 00:41:32,359
Speaker 3: really really don't. I think that would torpedo Amy Klobashar

847
00:41:33,000 --> 00:41:34,120
Speaker 3: on the day she takes off it.

848
00:41:34,239 --> 00:41:36,359
Speaker 1: Seriously, I do think it'd be too much blowback. You're

849
00:41:36,360 --> 00:41:38,919
Speaker 1: saying it's not worth it. I absolutely do. I don't

850
00:41:38,960 --> 00:41:39,680
Speaker 1: think it's worth it.

851
00:41:39,760 --> 00:41:43,000
Speaker 3: I don't think al Franken would necessarily want that. We

852
00:41:43,120 --> 00:41:46,200
Speaker 3: got to us sentences here, come back.

853
00:41:46,040 --> 00:41:48,759
Speaker 2: And run for it, That's true. I would.

854
00:41:48,960 --> 00:41:50,880
Speaker 1: The last time you talked to al Franken, I know

855
00:41:50,920 --> 00:41:54,319
Speaker 1: you guys texted talking more year people know, yeah, talk

856
00:41:54,400 --> 00:41:56,800
Speaker 1: to in person that year seriously.

857
00:41:56,480 --> 00:42:02,600
Speaker 3: Left, yeah, oh yeah, I yes, we have had some communication.

858
00:42:02,719 --> 00:42:05,040
Speaker 2: He doesn't live here now, does he? Back and forth?

859
00:42:05,080 --> 00:42:07,400
Speaker 2: They have the house here? They do? They have a

860
00:42:07,440 --> 00:42:11,759
Speaker 2: house here and maybe New York stoyewah. Interesting because we

861
00:42:11,800 --> 00:42:12,919
Speaker 2: haven't heard much from him lately.

862
00:42:12,960 --> 00:42:16,000
Speaker 3: Have we Well, he's he's very very active, so I

863
00:42:16,000 --> 00:42:18,799
Speaker 3: follow him fairly closely. He's very active in a lot

864
00:42:18,840 --> 00:42:23,120
Speaker 3: of different things. Yeah, politically right and uh, and in fact.

865
00:42:23,080 --> 00:42:23,719
Speaker 2: He's still bitter.

866
00:42:24,680 --> 00:42:28,160
Speaker 3: I think this it was hurtful and in retrospect, you

867
00:42:28,200 --> 00:42:30,800
Speaker 3: look at all of the stuff going on right now.

868
00:42:31,200 --> 00:42:36,160
Speaker 3: In retrospect, it was fourteen year old humor. But it

869
00:42:36,320 --> 00:42:40,320
Speaker 3: was not something that he necessarily should have resigned for.

870
00:42:41,200 --> 00:42:41,319
Speaker 2: Uh.

871
00:42:41,600 --> 00:42:45,080
Speaker 1: And why didn't they have off at the knees with

872
00:42:45,080 --> 00:42:51,719
Speaker 1: the Democrats? Yes, starting with Senator Jilibris. Now where are

873
00:42:51,760 --> 00:42:55,240
Speaker 1: they now? This is the height of the me too movement?

874
00:42:55,560 --> 00:42:58,440
Speaker 1: And he paid the price for it and for something

875
00:42:58,520 --> 00:43:04,600
Speaker 1: he for for something silly and dumb, but not not

876
00:43:04,800 --> 00:43:07,719
Speaker 1: anything that was hurtful and harmful. So that, yeah, I

877
00:43:07,760 --> 00:43:10,080
Speaker 1: think that that was a that was a really tough

878
00:43:10,080 --> 00:43:12,839
Speaker 1: one and you look back and I think, man, why

879
00:43:12,880 --> 00:43:15,880
Speaker 1: did that happen? No, I don't think he'll be that person.

880
00:43:15,960 --> 00:43:18,239
Speaker 3: I don't think he'll be appointed to the US Senate

881
00:43:18,239 --> 00:43:22,080
Speaker 3: by Amy Klobashar. And I know that I have a

882
00:43:22,080 --> 00:43:24,120
Speaker 3: feeling she's going to wait till the very very end

883
00:43:24,160 --> 00:43:27,200
Speaker 3: so she can't appoint the person she could resign from

884
00:43:27,239 --> 00:43:31,480
Speaker 3: the US Senate now and Republicans will urge that, and

885
00:43:31,520 --> 00:43:33,440
Speaker 3: then governor will do that for a.

886
00:43:33,480 --> 00:43:36,319
Speaker 2: Who would she? Do you think she could?

887
00:43:36,440 --> 00:43:38,160
Speaker 1: She's not got it well and I mean people they're

888
00:43:38,200 --> 00:43:39,480
Speaker 1: calling on her.

889
00:43:39,560 --> 00:43:41,239
Speaker 2: Yes, I know she's not going to do it till

890
00:43:41,280 --> 00:43:42,400
Speaker 2: she's sworn in. Exactly.

891
00:43:42,480 --> 00:43:42,560
Speaker 1: No.

892
00:43:42,640 --> 00:43:45,320
Speaker 2: Absolutely, And this happens all around the country.

893
00:43:45,520 --> 00:43:49,759
Speaker 3: US senators running for governor in their respective states are

894
00:43:49,840 --> 00:43:52,880
Speaker 3: not going to step down, Republican or Democrat.

895
00:43:53,120 --> 00:43:57,399
Speaker 2: All right, let's get to, uh, whether we believe that

896
00:43:57,520 --> 00:44:00,400
Speaker 2: there really is going to be an end to the

897
00:44:00,440 --> 00:44:04,600
Speaker 2: ice operation here, like, not within weeks but within days,

898
00:44:05,640 --> 00:44:08,520
Speaker 2: because there's growing indication of belief in that regard.

899
00:44:08,840 --> 00:44:11,839
Speaker 1: What evidence is there? Where's that going? And we'll get

900
00:44:11,880 --> 00:44:15,439
Speaker 1: to a number of other stories as well. Kesler with us.

901
00:44:15,840 --> 00:44:17,879
Speaker 1: The branch on Brian Cafe in text Line is open

902
00:44:17,880 --> 00:44:19,799
Speaker 1: at six four six eighty six. We'll also find out

903
00:44:20,239 --> 00:44:24,480
Speaker 1: what Kesler's favorite Winter Olympics event is. He's always had

904
00:44:24,480 --> 00:44:27,640
Speaker 1: that snowbird in him. We'll see what his favorite Winter

905
00:44:27,680 --> 00:44:31,080
Speaker 1: Olympics event is. And you can't say hockey because that's obvious.

906
00:44:31,120 --> 00:44:32,920
Speaker 1: I need something a little bit more esoteric than that.

907
00:44:33,000 --> 00:44:36,000
Speaker 1: Stay Dan Wild hockey might be on a break, but

908
00:44:36,040 --> 00:44:38,960
Speaker 1: Wild Wednesdays are not an all day. On Wednesdays, you

909
00:44:38,960 --> 00:44:41,359
Speaker 1: can use the talkback feature on the iHeartRadio app tell

910
00:44:41,440 --> 00:44:43,600
Speaker 1: us who your Wild MVP is that the break and

911
00:44:43,680 --> 00:44:47,000
Speaker 1: winners will be selected all day for Wild versus Lightning

912
00:44:47,000 --> 00:44:50,319
Speaker 1: tickets on March third, hit the talk back let us

913
00:44:50,360 --> 00:44:54,520
Speaker 1: know who your MVP is Wild Wednesday. Larry Craig was

914
00:44:54,520 --> 00:44:59,200
Speaker 1: from Idaho, not Utah. Good correction there, that's Paul from Blaine.

915
00:44:59,280 --> 00:45:01,759
Speaker 2: Nobody's correct. Acting me in the stall next to him.

916
00:45:01,920 --> 00:45:06,399
Speaker 1: Kessler, Margot Robbie played Tanya Harding. She's blonde. She didn't

917
00:45:06,400 --> 00:45:11,959
Speaker 1: play Nancy Kerrigan. You narcissistic sod, that's what they're saying.

918
00:45:12,000 --> 00:45:15,319
Speaker 2: Good cats, I still good cats for the bit. Uh.

919
00:45:16,560 --> 00:45:20,120
Speaker 1: When Nancy Kerrigan hosted SNL, she and Chris Farley did

920
00:45:20,120 --> 00:45:22,400
Speaker 1: a great skit where they were skating duo now that

921
00:45:22,480 --> 00:45:24,560
Speaker 1: I think I remember, and that was a high point.

922
00:45:24,719 --> 00:45:26,640
Speaker 1: David Spade was one of the announcers. Yeah, that was

923
00:45:26,680 --> 00:45:30,160
Speaker 1: actually pretty good. Nancy Kerrigan was not very well liked

924
00:45:30,200 --> 00:45:32,320
Speaker 1: before she got her knee bashed in After that incident,

925
00:45:32,360 --> 00:45:34,600
Speaker 1: she was beloved, so the knee bashing was actually good

926
00:45:34,600 --> 00:45:38,560
Speaker 1: for her image. Interesting point. I mean she her image

927
00:45:38,600 --> 00:45:41,840
Speaker 1: was not good at the time. I'm not sure she

928
00:45:41,840 --> 00:45:45,480
Speaker 1: would say that was worth it. But a more sympathetic character,

929
00:45:45,560 --> 00:45:48,759
Speaker 1: I mean, you get Yeah, I love remembering this as

930
00:45:48,800 --> 00:45:49,920
Speaker 1: if it were yesterday.

931
00:45:50,040 --> 00:45:50,520
Speaker 2: That's true.

932
00:45:50,600 --> 00:45:54,440
Speaker 1: I know it's great, vivid in our Olympic memories. Uh,

933
00:45:54,560 --> 00:45:58,520
Speaker 1: clob Shar can't appoint Frank Franken. He's not a Minnesota resident.

934
00:45:58,560 --> 00:46:00,839
Speaker 1: He was interviewed last year maintained it's a property here.

935
00:46:01,120 --> 00:46:03,480
Speaker 1: But as a registered voter and resident of NYC, is

936
00:46:03,520 --> 00:46:04,600
Speaker 1: that true? Well, no, idea.

937
00:46:04,640 --> 00:46:07,359
Speaker 3: Well, he does live. He's always had this condo in

938
00:46:07,400 --> 00:46:09,440
Speaker 3: New York City. But he's got his place here. And

939
00:46:10,440 --> 00:46:12,480
Speaker 3: I'm going to tell you there are a lot of

940
00:46:12,640 --> 00:46:15,440
Speaker 3: US Senators and members of not members of Congress, but

941
00:46:15,560 --> 00:46:19,120
Speaker 3: US senators who just kind of swoop in and say, Okay,

942
00:46:19,160 --> 00:46:21,759
Speaker 3: I live here now, and I'm going to do it there.

943
00:46:21,920 --> 00:46:25,680
Speaker 1: You're getting destroyed. That's the harding Carrigan thing.

944
00:46:24,920 --> 00:46:26,759
Speaker 2: I mean, it was a bit.

945
00:46:26,960 --> 00:46:31,240
Speaker 1: Oh that was a bit God movie fraud, you're being called.

946
00:46:31,320 --> 00:46:32,080
Speaker 2: It was a bit.

947
00:46:32,440 --> 00:46:35,960
Speaker 1: But why the antiquated notion that a new stadium needs

948
00:46:36,000 --> 00:46:38,600
Speaker 1: to be in Minneapolis. It's the least business friendly. The

949
00:46:38,640 --> 00:46:40,800
Speaker 1: restaurant hotel scene is not what it was. Crime is

950
00:46:40,840 --> 00:46:43,799
Speaker 1: still disproportionate compared to other options. I think if US

951
00:46:43,840 --> 00:46:45,680
Speaker 1: Bank Stadium is being built today would be an egan

952
00:46:46,160 --> 00:46:48,360
Speaker 1: where the Vikings can capitalize on their investment.

953
00:46:48,400 --> 00:46:49,319
Speaker 2: That's Allen and after.

954
00:46:49,480 --> 00:46:52,360
Speaker 3: Well, that's kind of interesting, but I'm sorry to tell people,

955
00:46:52,360 --> 00:46:57,920
Speaker 3: but Minneapolis is the economic engine of Minnesota and it

956
00:46:58,160 --> 00:47:00,759
Speaker 3: should be as people are built holding this. One of

957
00:47:00,760 --> 00:47:03,200
Speaker 3: the considerations is where you're going to put us so

958
00:47:03,280 --> 00:47:03,880
Speaker 3: people can.

959
00:47:03,800 --> 00:47:05,560
Speaker 2: Get there and get there easily.

960
00:47:05,600 --> 00:47:08,480
Speaker 1: Well, I'd like to agree with you, but I'm now

961
00:47:08,640 --> 00:47:14,120
Speaker 1: openly campaigning for the Chicago Bears moving to Gary, Indiana,

962
00:47:14,200 --> 00:47:14,800
Speaker 1: my hometown.

963
00:47:14,920 --> 00:47:15,879
Speaker 2: How about that?

964
00:47:16,200 --> 00:47:21,680
Speaker 1: They are apparently making a huge maybe too good to

965
00:47:21,719 --> 00:47:24,319
Speaker 1: pass up offered. Now, would the Bears actually have the

966
00:47:24,360 --> 00:47:26,080
Speaker 1: kahonas to do it?

967
00:47:26,120 --> 00:47:28,440
Speaker 2: Is the question. I don't know, but I'd love to

968
00:47:28,440 --> 00:47:31,239
Speaker 2: see it because it might mean if any any town

969
00:47:31,280 --> 00:47:35,319
Speaker 2: in America needs revitalization, it's my hometown, Gary.

970
00:47:35,480 --> 00:47:38,239
Speaker 3: I mean, it's it's fantastic, But if they did it,

971
00:47:39,560 --> 00:47:41,080
Speaker 3: how would that work for the fans?

972
00:47:41,360 --> 00:47:44,160
Speaker 2: Well, so it's just a different direction from Viking.

973
00:47:44,320 --> 00:47:46,719
Speaker 3: So we've been talking about where your fans live, and

974
00:47:46,800 --> 00:47:50,000
Speaker 3: you do want to have an arena or a stadium

975
00:47:50,080 --> 00:47:51,399
Speaker 3: near where the fans are.

976
00:47:51,440 --> 00:47:51,800
Speaker 2: Correct.

977
00:47:52,440 --> 00:47:58,520
Speaker 3: So wow, So in the Tony suburbs, the northern suburbs.

978
00:47:58,040 --> 00:48:01,239
Speaker 2: Of Chicago, So what is it elitist? Is it an

979
00:48:01,280 --> 00:48:02,640
Speaker 2: hour drive? Yeah?

980
00:48:02,680 --> 00:48:06,320
Speaker 1: Well, if you're if you're coming from north like northern

981
00:48:06,360 --> 00:48:09,399
Speaker 1: suburbs more than at or Western also Yeah, but then

982
00:48:09,440 --> 00:48:13,360
Speaker 1: there's still there's huge population parts not that far from Gary,

983
00:48:13,600 --> 00:48:15,600
Speaker 1: South suburbs of Chicago.

984
00:48:15,320 --> 00:48:18,920
Speaker 2: And the western suburbs down by Joliet and the Fox Valley. Yeah.

985
00:48:18,960 --> 00:48:21,440
Speaker 2: So I'm just saying, all right, let's get that be something.

986
00:48:22,400 --> 00:48:27,120
Speaker 2: Are we on the verge of I mean, are we

987
00:48:27,280 --> 00:48:33,080
Speaker 2: days away from Ice leaving town? It's a great question.

988
00:48:33,239 --> 00:48:37,200
Speaker 3: And I would also pose the question that Tom Homan,

989
00:48:37,280 --> 00:48:41,560
Speaker 3: the head the Borders are said last week that we're

990
00:48:41,560 --> 00:48:44,160
Speaker 3: going to have a draw down. Has anybody in our

991
00:48:44,239 --> 00:48:49,759
Speaker 3: listening audience noticed a draw down of ICE agents and

992
00:48:49,840 --> 00:48:52,080
Speaker 3: Border patrol agents in Minneapolis.

993
00:48:52,760 --> 00:48:54,879
Speaker 2: I'm going to say it's really hard to tell. I'm

994
00:48:54,880 --> 00:48:55,400
Speaker 2: going to say no.

995
00:48:57,520 --> 00:49:02,440
Speaker 3: There was a high speed chase in my neighborhood today

996
00:49:02,560 --> 00:49:06,440
Speaker 3: today where ICE agents were chasing a dude that they

997
00:49:06,480 --> 00:49:13,200
Speaker 3: said was an illegal immigrant and had crimes. Nobody can

998
00:49:13,239 --> 00:49:15,799
Speaker 3: find what the crimes are at this moment, but they

999
00:49:15,840 --> 00:49:18,360
Speaker 3: chased them through the areas. He hit a car, another

1000
00:49:18,440 --> 00:49:21,839
Speaker 3: car hit it, big crash. People go to the hospital

1001
00:49:22,480 --> 00:49:24,680
Speaker 3: over on the eastern side of Saint Paul, down by

1002
00:49:24,680 --> 00:49:29,440
Speaker 3: the cathedral, So that happened. You've got ice agents that

1003
00:49:29,520 --> 00:49:34,839
Speaker 3: we see now are staking out bus stops so they

1004
00:49:34,880 --> 00:49:37,680
Speaker 3: can get people going to work and coming home from work,

1005
00:49:37,719 --> 00:49:39,480
Speaker 3: and also kids going to school parents.

1006
00:49:40,160 --> 00:49:40,880
Speaker 2: So I don't know.

1007
00:49:40,960 --> 00:49:43,799
Speaker 3: I don't know that I've seen a lot of an

1008
00:49:43,960 --> 00:49:49,640
Speaker 3: end to the occupation of Minneapolis, haven't seen it. Governor

1009
00:49:49,680 --> 00:49:54,320
Speaker 3: Walls said yesterday that he is of the understanding he

1010
00:49:54,360 --> 00:49:57,360
Speaker 3: has an understanding after talking with the White House Chief

1011
00:49:57,360 --> 00:50:00,719
Speaker 3: of Staff Susie Wiles and Tom Holman, the borders are

1012
00:50:00,920 --> 00:50:03,960
Speaker 3: who has taken the temperature down. I will absolutely admit,

1013
00:50:05,280 --> 00:50:06,719
Speaker 3: he says that they're going to be out of here

1014
00:50:06,760 --> 00:50:10,960
Speaker 3: within days, not weeks, and not months.

1015
00:50:11,000 --> 00:50:12,360
Speaker 2: Within days is what he said.

1016
00:50:13,320 --> 00:50:16,800
Speaker 3: It just seems like having the cost of this, which

1017
00:50:16,840 --> 00:50:22,080
Speaker 3: is literally hundreds of years, and you've got, yeah, the figure,

1018
00:50:22,120 --> 00:50:25,920
Speaker 3: the emotional the deaths, the shootings, the damage, all of

1019
00:50:25,960 --> 00:50:29,120
Speaker 3: that that ice has caused here in Minneapolis.

1020
00:50:30,160 --> 00:50:32,680
Speaker 2: The cost of all of this, the overwhelming.

1021
00:50:32,200 --> 00:50:37,160
Speaker 3: Troop force just does not it's not justified by the tiny,

1022
00:50:37,280 --> 00:50:41,959
Speaker 3: tiny number comparatively that we have of undocumented immigrants here

1023
00:50:42,000 --> 00:50:45,759
Speaker 3: in Minnesota, and particularly the violent ones that they say

1024
00:50:45,800 --> 00:50:49,280
Speaker 3: they are going after. So he says soon, I'll believe

1025
00:50:49,280 --> 00:50:51,160
Speaker 3: it when I see it, But that would be really

1026
00:50:51,200 --> 00:50:54,120
Speaker 3: good news for the state of Minnesota.

1027
00:50:54,680 --> 00:51:00,000
Speaker 2: How long do you believe it? Realistically will.

1028
00:51:01,800 --> 00:51:07,879
Speaker 1: To rebuild the credibility and expertise built over a long

1029
00:51:07,880 --> 00:51:11,680
Speaker 1: period of time of the US Attorney's office in Minnesota.

1030
00:51:11,800 --> 00:51:14,920
Speaker 2: This is so difficult to look at this.

1031
00:51:15,960 --> 00:51:20,280
Speaker 3: These are the premier offices of attorney's offices in government,

1032
00:51:20,719 --> 00:51:25,320
Speaker 3: in all of government in the United States. People compete

1033
00:51:25,520 --> 00:51:28,640
Speaker 3: to get into these offices. And now there are resignations,

1034
00:51:28,719 --> 00:51:32,600
Speaker 3: not just here in Minneapolis, where there have been fourteen

1035
00:51:32,760 --> 00:51:38,680
Speaker 3: fifteen resignations of the most experienced, the highest qualified, the

1036
00:51:38,680 --> 00:51:42,600
Speaker 3: best attorneys in the state of Minnesota were working there

1037
00:51:42,960 --> 00:51:47,759
Speaker 3: on issues like fraud, welfare fraud in Minnesota, prosecuting all

1038
00:51:47,800 --> 00:51:52,080
Speaker 3: of these cases, and they've, because of ethical reasons, being

1039
00:51:52,200 --> 00:51:55,919
Speaker 3: asked to do by the Trump administration things that they

1040
00:51:56,080 --> 00:52:02,280
Speaker 3: feel are unethical. Many of them resigned and others being

1041
00:52:02,360 --> 00:52:06,719
Speaker 3: asked to if they support Donald Trump and his priorities.

1042
00:52:06,800 --> 00:52:09,719
Speaker 1: Here is more specifically, as we talked about on yesterday's show,

1043
00:52:09,960 --> 00:52:13,880
Speaker 1: according to Chris maddele, a US Attorney's Office question for

1044
00:52:14,160 --> 00:52:18,080
Speaker 1: US Attorney's Office from Minnesota application question, how would you

1045
00:52:18,120 --> 00:52:21,680
Speaker 1: help advance the president's executive orders and policy priorities in

1046
00:52:21,719 --> 00:52:22,120
Speaker 1: this role?

1047
00:52:22,640 --> 00:52:24,480
Speaker 2: There it is, it's I mean, it's in black and white.

1048
00:52:24,480 --> 00:52:28,240
Speaker 1: He has seen it, and his response was, doj should

1049
00:52:28,239 --> 00:52:31,200
Speaker 1: be a political This reveals what happens when children run

1050
00:52:31,280 --> 00:52:32,480
Speaker 1: our major institutions.

1051
00:52:32,480 --> 00:52:34,560
Speaker 2: He's back on CN Anthony's by the way. Okay, so

1052
00:52:34,800 --> 00:52:36,719
Speaker 2: what if that's going to be a gig for him?

1053
00:52:36,760 --> 00:52:42,839
Speaker 2: I mean just armentative and argumentative. I love that about

1054
00:52:42,880 --> 00:52:43,160
Speaker 2: him too.

1055
00:52:43,280 --> 00:52:46,200
Speaker 1: Yeah, but they might see somebody who is down the middle, yes,

1056
00:52:46,239 --> 00:52:49,280
Speaker 1: who can go in a number of different ways see Leans,

1057
00:52:49,920 --> 00:52:52,200
Speaker 1: Republican Leans, right, I think.

1058
00:52:53,160 --> 00:52:56,840
Speaker 3: But he is somebody who has is really a common

1059
00:52:56,840 --> 00:53:00,680
Speaker 3: sense kind of guy. So yeah, and news today about

1060
00:53:01,239 --> 00:53:02,440
Speaker 3: your guy Joe Thompson.

1061
00:53:02,960 --> 00:53:03,920
Speaker 2: Yeah, actually yesterday.

1062
00:53:04,080 --> 00:53:06,120
Speaker 1: Yeah, well we talked about it briefly yesterday. He is

1063
00:53:06,160 --> 00:53:09,640
Speaker 1: now going to be among the attorneys representing your guy

1064
00:53:09,760 --> 00:53:13,680
Speaker 1: Don Lemon. There's a lot of guys going back and forth. Yes,

1065
00:53:13,960 --> 00:53:15,840
Speaker 1: we got to get before we go to the stats

1066
00:53:16,680 --> 00:53:19,040
Speaker 1: that I had seen you had included in the notes

1067
00:53:19,080 --> 00:53:21,880
Speaker 1: here that are pretty stunning.

1068
00:53:22,200 --> 00:53:23,600
Speaker 2: And this comes from CBS.

1069
00:53:23,640 --> 00:53:29,480
Speaker 1: This is a CBS report regarding what they chronicle, according

1070
00:53:29,480 --> 00:53:32,719
Speaker 1: to their reporting as the percentages.

1071
00:53:33,239 --> 00:53:37,920
Speaker 2: It's a percentage breakdown. When it comes to the question

1072
00:53:38,200 --> 00:53:42,840
Speaker 2: of how many of those arrested and detained by ice

1073
00:53:43,719 --> 00:53:48,040
Speaker 2: have in fact had violent criminal records, what does the

1074
00:53:48,080 --> 00:53:49,680
Speaker 2: CBS report suggest.

1075
00:53:49,800 --> 00:53:54,400
Speaker 3: Yeah, CBS News using numbers from the Department of Homeland

1076
00:53:54,480 --> 00:53:57,960
Speaker 3: Security that they have assembled. This is a document they

1077
00:53:58,040 --> 00:54:02,319
Speaker 3: obtained through sources. Interesting number because I didn't know how

1078
00:54:02,320 --> 00:54:06,240
Speaker 3: many people have actually been arrested or detained, and that number,

1079
00:54:06,360 --> 00:54:09,280
Speaker 3: according to CBS is nearly four hundred thousand.

1080
00:54:09,520 --> 00:54:12,800
Speaker 1: That's a lot, but it's not a million. As Donald

1081
00:54:12,800 --> 00:54:15,040
Speaker 1: Trump wanted, be careful what you asked for.

1082
00:54:15,120 --> 00:54:20,719
Speaker 3: There than two percent of those who were arrested and

1083
00:54:20,760 --> 00:54:26,880
Speaker 3: detained are murderers and rapists, fewer than two percent are

1084
00:54:27,040 --> 00:54:31,120
Speaker 3: gang members, and forty percent four out of ten have

1085
00:54:31,320 --> 00:54:35,480
Speaker 3: no criminal record at all. So there are a lot

1086
00:54:35,560 --> 00:54:39,640
Speaker 3: of people who do have some convictions, some convictions for

1087
00:54:39,760 --> 00:54:42,640
Speaker 3: drug rugs and DUI that kind of thing.

1088
00:54:42,920 --> 00:54:45,759
Speaker 2: Yeah, and those all matter, but.

1089
00:54:47,360 --> 00:54:51,160
Speaker 1: The majority of them are not what the Trump administration

1090
00:54:51,360 --> 00:54:54,839
Speaker 1: says they were trying and hoping to do. I think

1091
00:54:54,880 --> 00:54:58,640
Speaker 1: the overall number you cited is that, overall, you put

1092
00:54:59,120 --> 00:55:02,480
Speaker 1: all the numbers together, they're less than fourteen percent of

1093
00:55:02,520 --> 00:55:05,320
Speaker 1: illegal immigrants arrested by ice have violent criminal records of

1094
00:55:05,360 --> 00:55:08,759
Speaker 1: any sort. Fourteen percent. And then we're back to what

1095
00:55:08,920 --> 00:55:10,040
Speaker 1: keeps getting drummed away.

1096
00:55:10,040 --> 00:55:12,960
Speaker 2: In fact, weren't their hearings today where it got very

1097
00:55:13,040 --> 00:55:16,719
Speaker 2: volatile regarding some of these issues. Did you watch much

1098
00:55:16,760 --> 00:55:18,719
Speaker 2: of the hearings on Capitol Hill today?

1099
00:55:18,800 --> 00:55:18,960
Speaker 1: Yes?

1100
00:55:19,000 --> 00:55:23,080
Speaker 3: I did, and Pam Bondi was there, The US Attorney

1101
00:55:23,120 --> 00:55:25,200
Speaker 3: General was there, and I'm going to tell you, I

1102
00:55:25,200 --> 00:55:27,759
Speaker 3: mean and I love this stuff, but I had to

1103
00:55:28,200 --> 00:55:33,200
Speaker 3: mute it a couple of times. These are also representatives

1104
00:55:33,239 --> 00:55:36,960
Speaker 3: in Congress and in the Trump administration, and they were

1105
00:55:36,960 --> 00:55:39,319
Speaker 3: going at it, yelling at each other. It was like

1106
00:55:39,400 --> 00:55:42,680
Speaker 3: they were fifteen year old kids in high school, just

1107
00:55:43,120 --> 00:55:46,759
Speaker 3: yelling at each other, insulting each other. But much of

1108
00:55:46,760 --> 00:55:49,920
Speaker 3: it was on the Epstein files, some of it was

1109
00:55:49,960 --> 00:55:55,000
Speaker 3: on immigration, and every time that it was a Democrat,

1110
00:55:55,040 --> 00:55:58,000
Speaker 3: every time a Democrat would cite these kinds of numbers

1111
00:55:58,040 --> 00:56:02,040
Speaker 3: that you're not only going after the murderers and rapists,

1112
00:56:02,120 --> 00:56:05,520
Speaker 3: you're going after the grandmothers who have worked in the

1113
00:56:05,600 --> 00:56:07,800
Speaker 3: bakery for the last thirty years.

1114
00:56:08,360 --> 00:56:10,680
Speaker 2: And every time that stat.

1115
00:56:10,480 --> 00:56:13,000
Speaker 1: Was given, one of them is Washington Post story. It

1116
00:56:13,080 --> 00:56:16,799
Speaker 1: was in a different part of the country. It's who

1117
00:56:16,840 --> 00:56:18,320
Speaker 1: are you arresting and detaining?

1118
00:56:18,440 --> 00:56:20,920
Speaker 3: Every time that happened, the Attorney General of the United

1119
00:56:20,960 --> 00:56:26,040
Speaker 3: States would hold up a picture of photograph of a

1120
00:56:26,160 --> 00:56:30,959
Speaker 3: murderer who they have deported or gotten out of jail,

1121
00:56:30,960 --> 00:56:33,640
Speaker 3: put in jail, convicted, whatever it is, and then say,

1122
00:56:33,680 --> 00:56:34,719
Speaker 3: look at this, look at this.

1123
00:56:35,000 --> 00:56:38,400
Speaker 2: That's what it was like. And it was not productive.

1124
00:56:37,920 --> 00:56:41,759
Speaker 3: In my view, although you just somehow we're going to

1125
00:56:41,880 --> 00:56:47,239
Speaker 3: have to figure out how to get past all of this.

1126
00:56:47,560 --> 00:56:50,480
Speaker 3: They did ask about Renee Good and Alex Pray, right,

1127
00:56:50,680 --> 00:56:55,279
Speaker 3: and except the question was will you apologize here and

1128
00:56:55,320 --> 00:56:59,200
Speaker 3: now for what you've done? And the stock answer is, well,

1129
00:56:59,239 --> 00:57:00,439
Speaker 3: that's under investigation.

1130
00:57:01,040 --> 00:57:03,920
Speaker 2: And my question is it do we know?

1131
00:57:04,200 --> 00:57:04,359
Speaker 1: Right?

1132
00:57:04,640 --> 00:57:07,000
Speaker 3: We know nothing, well, so where are we? We didn't

1133
00:57:07,040 --> 00:57:08,280
Speaker 3: advance anything today.

1134
00:57:08,320 --> 00:57:11,360
Speaker 1: In my li no, it's sad because again, there's always

1135
00:57:11,400 --> 00:57:14,000
Speaker 1: been some performance in those hearings since you're going to

1136
00:57:14,000 --> 00:57:16,440
Speaker 1: put on tea, I think. But the percentage of it

1137
00:57:16,520 --> 00:57:19,560
Speaker 1: now is so much higher, And like you said, it's

1138
00:57:19,600 --> 00:57:21,600
Speaker 1: not I always silly me.

1139
00:57:21,600 --> 00:57:26,000
Speaker 2: I always thought, best case, you're actually gonna get information exchange.

1140
00:57:26,040 --> 00:57:29,800
Speaker 1: You're gonna get, you know, good questions asked that relate

1141
00:57:29,880 --> 00:57:32,880
Speaker 1: to a policy decision or a series of whatever, and

1142
00:57:32,960 --> 00:57:34,600
Speaker 1: you're gonna get some answers, and there might even be

1143
00:57:34,640 --> 00:57:36,800
Speaker 1: some debate on it, but it'll be on the substance side.

1144
00:57:36,800 --> 00:57:38,960
Speaker 2: I like to hear it. It's not your case. I

1145
00:57:39,000 --> 00:57:41,240
Speaker 2: want to hear it. It's all there's there's nothing.

1146
00:57:41,240 --> 00:57:43,720
Speaker 1: It's like it's yes, that was. It's not even asking questions.

1147
00:57:43,760 --> 00:57:45,280
Speaker 1: It's I've got two minutes that I'm going to read

1148
00:57:45,280 --> 00:57:47,680
Speaker 1: a statement. And I'm not saying the statement doesn't have

1149
00:57:47,720 --> 00:57:50,800
Speaker 1: some validity, but I'm saying you could do that, you know,

1150
00:57:51,240 --> 00:57:53,000
Speaker 1: just get in front of a podium and do the statement.

1151
00:57:53,120 --> 00:57:54,840
Speaker 1: I want to have some back and forth, but there's

1152
00:57:54,840 --> 00:57:56,080
Speaker 1: no meaningful back and forth now.

1153
00:57:56,160 --> 00:57:57,240
Speaker 2: So before we have.

1154
00:57:57,280 --> 00:58:00,400
Speaker 3: The midterm elections in twenty twenty six, yes, member of

1155
00:58:00,440 --> 00:58:04,200
Speaker 3: this year. I mean, it would be very interesting if

1156
00:58:04,360 --> 00:58:08,440
Speaker 3: Donald Trump just shut it all down, leaves Minneapolis, doesn't

1157
00:58:08,480 --> 00:58:11,240
Speaker 3: go to other cities, kind of takes the temperature down,

1158
00:58:11,600 --> 00:58:16,200
Speaker 3: declares victory on the Mexican border, and say, I did

1159
00:58:16,240 --> 00:58:19,120
Speaker 3: what I was elected to do, and it's over.

1160
00:58:19,240 --> 00:58:22,760
Speaker 2: Let's move on to something else, like building a ballroom. Whatever.

1161
00:58:22,800 --> 00:58:26,600
Speaker 3: It is a triumphant ars, yes, whatever, it is right,

1162
00:58:26,760 --> 00:58:29,320
Speaker 3: but I mean he did this on the southern border,

1163
00:58:29,800 --> 00:58:32,680
Speaker 3: so take the w Well, we're a long way from

1164
00:58:32,720 --> 00:58:33,320
Speaker 3: that at this point.

1165
00:58:33,320 --> 00:58:38,280
Speaker 2: We are at this. All right, we'll see you. You

1166
00:58:38,280 --> 00:58:39,880
Speaker 2: know what I could see in your future as a

1167
00:58:39,920 --> 00:58:41,919
Speaker 2: guy who clearly has too much time on his hands,

1168
00:58:41,960 --> 00:58:44,400
Speaker 2: cannot wait to hear. Here's what you should do in

1169
00:58:44,440 --> 00:58:46,280
Speaker 2: all serious because I know this.

1170
00:58:46,520 --> 00:58:49,520
Speaker 1: In all seriousness, it is it is. You have your number,

1171
00:58:49,640 --> 00:58:53,920
Speaker 1: you have his number. I think you should become you

1172
00:58:54,680 --> 00:58:57,560
Speaker 1: unofficially did this for the Vikings and for Lester Bagley.

1173
00:58:58,040 --> 00:59:04,280
Speaker 1: You should more officially become a Rod's pr advisor, media

1174
00:59:04,320 --> 00:59:07,360
Speaker 1: relations advisor, and how to move forward to get his

1175
00:59:07,560 --> 00:59:11,320
Speaker 1: message across, to get his arena built from one.

1176
00:59:11,240 --> 00:59:15,680
Speaker 2: Narcissist to another. Wow, you could help him out. You

1177
00:59:15,760 --> 00:59:17,040
Speaker 2: got all the time in the world.

1178
00:59:17,800 --> 00:59:21,400
Speaker 1: Somebodys, Yes, I thought you were how many arena wars

1179
00:59:21,440 --> 00:59:24,920
Speaker 1: many many you know, you know what the what language

1180
00:59:24,920 --> 00:59:27,280
Speaker 1: needs to be spoken? Just saying it's about some of.

1181
00:59:27,280 --> 00:59:30,760
Speaker 2: The things, don't go there? Was that mean what language?

1182
00:59:31,360 --> 00:59:34,400
Speaker 2: That's English? Well, no, that's nothing to do with what

1183
00:59:34,440 --> 00:59:34,880
Speaker 2: I'm saying.

1184
00:59:34,920 --> 00:59:38,200
Speaker 1: So here's the thing I thought. I thought you. I

1185
00:59:38,240 --> 00:59:40,360
Speaker 1: thought you were going to ask me about Al Franken.

1186
00:59:41,280 --> 00:59:44,160
Speaker 1: You should do a podcast with Al Franken, like what

1187
00:59:44,240 --> 00:59:50,320
Speaker 1: I should do? You were calling back, get him, get

1188
00:59:50,360 --> 00:59:51,200
Speaker 1: him out of there.

1189
00:59:52,320 --> 00:59:55,640
Speaker 3: I really wanted to talk about the about the halftime show,

1190
00:59:55,800 --> 00:59:58,720
Speaker 3: and uh, but I know this.

1191
00:59:58,920 --> 01:00:01,800
Speaker 2: We were we're just driving it into the ground. Well, yeah,

1192
01:00:01,800 --> 01:00:04,400
Speaker 2: we talked about it, I know, ad nauseum yesterday, and

1193
01:00:04,400 --> 01:00:06,160
Speaker 2: I know I loved it and it wasn't as good

1194
01:00:06,160 --> 01:00:10,919
Speaker 2: as Prince summary? Is it not? There? It is? Yeah,

1195
01:00:10,920 --> 01:00:12,080
Speaker 2: that says it all it is.

1196
01:00:12,360 --> 01:00:15,400
Speaker 1: Yeah, but you you were tempted to say it was

1197
01:00:15,480 --> 01:00:17,560
Speaker 1: better what I was.

1198
01:00:17,600 --> 01:00:19,560
Speaker 3: I was I was, But no, all I wanted to

1199
01:00:19,600 --> 01:00:22,880
Speaker 3: say is because we've been talking about languages all week

1200
01:00:23,680 --> 01:00:27,400
Speaker 3: and I don't understand what Bob Dylan says.

1201
01:00:27,400 --> 01:00:30,520
Speaker 1: Correct I seriously, Well, but that's why I saw him

1202
01:00:30,520 --> 01:00:32,720
Speaker 1: a few months. You're still too bitter for that one

1203
01:00:33,080 --> 01:00:37,320
Speaker 1: one time you saw him and he turned the stream.

1204
01:00:37,400 --> 01:00:42,040
Speaker 2: What did he do wrong? Basic? Yeah, said people. People

1205
01:00:42,200 --> 01:00:46,320
Speaker 2: who said that it wasn't good Dylan, they're not real fan.

1206
01:00:46,480 --> 01:00:49,600
Speaker 2: He did say that. Come on, he called out what

1207
01:00:49,640 --> 01:00:50,640
Speaker 2: he did pretty much.

1208
01:00:51,040 --> 01:00:53,520
Speaker 1: We got to go Kessler five, six and ten back

1209
01:00:53,520 --> 01:00:58,160
Speaker 1: to wrap things up. Show Rap is presented by American

1210
01:00:58,160 --> 01:01:01,160
Speaker 1: Pressure Commercial, Great Pressure Washerson nineteen seventy five.

1211
01:01:01,360 --> 01:01:05,760
Speaker 2: It's the bumper to Bumper show Rap real quick.

1212
01:01:06,160 --> 01:01:09,760
Speaker 1: There are a couple people who think we were trying

1213
01:01:09,800 --> 01:01:13,720
Speaker 1: to somehow hide what fourteen percent of four hundred thousand is.

1214
01:01:14,720 --> 01:01:15,760
Speaker 2: I can't do that math.

1215
01:01:15,920 --> 01:01:18,280
Speaker 1: I'll take his word for it that fourteen percent of

1216
01:01:18,320 --> 01:01:20,040
Speaker 1: four hundred thousand is fifty six thousand.

1217
01:01:20,400 --> 01:01:21,040
Speaker 2: That may well be.

1218
01:01:22,040 --> 01:01:25,080
Speaker 1: And the presumption seems to be that why are you

1219
01:01:25,160 --> 01:01:27,560
Speaker 1: afraid of that number? Not afraid of it at all.

1220
01:01:28,160 --> 01:01:31,439
Speaker 1: The issue is what we have been told is that

1221
01:01:31,600 --> 01:01:38,040
Speaker 1: this endeavor was about taking out the worst of the worst.

1222
01:01:38,960 --> 01:01:42,480
Speaker 1: The numbers indicate prove what many of us have been

1223
01:01:42,480 --> 01:01:43,520
Speaker 1: saying from the beginning.

1224
01:01:44,320 --> 01:01:47,160
Speaker 2: That's not close to what's taking If that's all that

1225
01:01:47,320 --> 01:01:51,040
Speaker 2: was taking place, I don't I wouldn't be arguing with it.

1226
01:01:51,520 --> 01:01:53,600
Speaker 2: We talked about this yesterday. I'm not even arguing with

1227
01:01:53,640 --> 01:01:56,040
Speaker 2: what they're trying to get done regarding the county jail.

1228
01:01:57,440 --> 01:02:00,440
Speaker 2: But if you're telling people all along it's about the

1229
01:02:00,480 --> 01:02:03,520
Speaker 2: worst of the worst, and the percentage is that low,

1230
01:02:04,160 --> 01:02:08,760
Speaker 2: that simply confirms that your sweeps are much wider and

1231
01:02:08,800 --> 01:02:12,440
Speaker 2: to that extent, less effective than they should be, or

1232
01:02:12,480 --> 01:02:15,240
Speaker 2: that they need to be. Nobody's running from that number.

1233
01:02:15,560 --> 01:02:20,240
Speaker 2: No one's saying that those individuals should somehow stay celebrate

1234
01:02:20,280 --> 01:02:21,080
Speaker 2: the hell out of that.

1235
01:02:22,040 --> 01:02:24,880
Speaker 1: But this is, this is these numbers are further proof

1236
01:02:25,560 --> 01:02:30,600
Speaker 1: that it's a much much wider event. And every Paul

1237
01:02:30,680 --> 01:02:35,600
Speaker 1: I've seen indicate that the vast majority of Americans think

1238
01:02:36,360 --> 01:02:38,960
Speaker 1: it's been cut with two wide a swathe, not even close.

1239
01:02:39,000 --> 01:02:41,240
Speaker 1: And we've seen how that's been that's played out here,

1240
01:02:41,680 --> 01:02:44,400
Speaker 1: even if it hopefully is about to come to a

1241
01:02:44,440 --> 01:02:51,280
Speaker 1: relative end. Kessler five point thirty. Kevin Seffert three point thirty.

1242
01:02:52,360 --> 01:02:54,880
Speaker 2: It looks as if there's a good chance we will

1243
01:02:54,920 --> 01:02:59,840
Speaker 2: be joined by former Viking head coach Leslie Frasier celebrating

1244
01:03:00,120 --> 01:03:02,200
Speaker 2: the Super Bowl parade yesterday. Awesome.

1245
01:03:02,480 --> 01:03:02,600
Speaker 3: Uh.

1246
01:03:02,760 --> 01:03:05,760
Speaker 1: He may be part of the festivities tomorrow. Doctor Dan's

1247
01:03:05,800 --> 01:03:08,120
Speaker 1: inbox will be part of the festivities tomorrow. I think

1248
01:03:08,160 --> 01:03:11,640
Speaker 1: Salisbury's probably off yep, and is there anything else already

1249
01:03:11,640 --> 01:03:14,320
Speaker 1: on the docket, thinking we'll maybe try to do Russo

1250
01:03:14,400 --> 01:03:17,560
Speaker 1: if yeah, for sure?

1251
01:03:17,640 --> 01:03:19,600
Speaker 2: Yeah even better. So that's the plan.

1252
01:03:19,920 --> 01:03:23,480
Speaker 1: The whole Shelby podcastable and downloadable. Let's also remind you

1253
01:03:23,680 --> 01:03:27,200
Speaker 1: that after Fan and Demand on the air, more Timberwolves

1254
01:03:27,240 --> 01:03:29,920
Speaker 1: basketball on the flagship FM one hundred point three the

1255
01:03:29,920 --> 01:03:32,160
Speaker 1: Fan as well as the Timberwlves channel. Last Wolves game

1256
01:03:32,200 --> 01:03:36,360
Speaker 1: before the break, they're taking on hosting the Portland Trailblazers.

1257
01:03:36,480 --> 01:03:38,400
Speaker 1: You tweeted about it, but did I miss it? Was

1258
01:03:38,440 --> 01:03:41,760
Speaker 1: I doing something else? Did you give your daily Finchy affirmation?

1259
01:03:42,760 --> 01:03:45,400
Speaker 1: Your moment of gratitude? There was something I forgot do

1260
01:03:45,480 --> 01:03:47,520
Speaker 1: to tomorrow. I may have to make up.

1261
01:03:47,560 --> 01:03:49,320
Speaker 2: You better do to tomorrow. I'll make sure you do

1262
01:03:49,360 --> 01:03:49,960
Speaker 2: to tomorrow.

1263
01:03:49,960 --> 01:03:52,360
Speaker 1: Never stopped appreciating the job that Chris Finch has done,

1264
01:03:52,440 --> 01:03:55,600
Speaker 1: and I expect him to be worthy of it tonight.

1265
01:03:55,680 --> 01:04:00,760
Speaker 1: I fully expect this club to capitalize on it's breakthrough

1266
01:04:00,840 --> 01:04:03,520
Speaker 1: victory a couple of nights ago and to make it

1267
01:04:03,560 --> 01:04:07,720
Speaker 1: two in a row. For Mike Yo before the break

1268
01:04:07,800 --> 01:04:10,080
Speaker 1: and was a late questionable with an illness, but he

1269
01:04:10,160 --> 01:04:12,760
Speaker 1: is good to go. Yeah, he will be playing time

1270
01:04:12,920 --> 01:04:14,760
Speaker 1: as long as Desuma is ready to go.

1271
01:04:14,840 --> 01:04:17,919
Speaker 2: I'm fine. That's all I care about now, straight line guy,

1272
01:04:18,040 --> 01:04:19,680
Speaker 2: that's what. In fact, that's the quote I meant to

1273
01:04:19,720 --> 01:04:21,560
Speaker 2: save as well. I'll get to that.

1274
01:04:22,120 --> 01:04:26,280
Speaker 1: Maybe the Finchy Daily Affirmation tomorrow will actually be Finchy

1275
01:04:26,440 --> 01:04:32,920
Speaker 1: affirming some of the positive attribute attributes that that Desumu represents.

1276
01:04:33,200 --> 01:04:35,080
Speaker 2: We need to have Craiger's on in the near show.

1277
01:04:35,240 --> 01:04:37,160
Speaker 2: That's true. Way behind me got a text from him

1278
01:04:37,320 --> 01:04:43,080
Speaker 2: recently as amazing, a amazing Is he going to use

1279
01:04:43,080 --> 01:04:46,360
Speaker 2: that on his podcast? Probably has, probably already has. That's true.

1280
01:04:46,400 --> 01:04:48,600
Speaker 1: Thanks for watching, Thank you for listening, and we will

1281
01:04:48,600 --> 01:04:49,800
Speaker 1: talk to you tomorrow three o'clock.

1282
01:04:51,640 --> 01:04:55,680
Speaker 2: You don't show us what you can do. Thank you

1283
01:04:55,760 --> 01:04:58,640
Speaker 2: for everybody for coming here now, for your kindness, thank

1284
01:04:58,640 --> 01:05:01,360
Speaker 2: you for your vision, for your spirit virtuality for healing me.

1285
01:05:02,080 --> 01:05:04,880
Speaker 2: Mostly though, Dan, thank you for my life.