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Speaker 1: Minnesota Pet Rescue. It's adapting to the rising animal surrenders

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Speaker 1: amid iced attentions.

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Speaker 2: AKA, I'm hurt by your cat comment.

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Speaker 3: I have one tiny furry overlord in my home and

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Speaker 3: he makes my life interesting.

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Speaker 1: I've had dogs and cats. We currently just have have artements.

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Speaker 4: And again it's a go ahead and see, it's not

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Speaker 4: an absolute. I'm just saying that cat people tend to

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Speaker 4: be crazy. That's all I'm saying, tend to that. That

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Speaker 4: could mean that like forty five percent aren't well.

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Speaker 1: I talked about this at the start of the show.

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Speaker 1: I talked about the fact that sometimes you know, in

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Speaker 1: talk radio, you generalize, and if you're talking about a

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Speaker 1: group of people and criticizing them, but you do not

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Speaker 1: fall into the category of criticism, then you're not the

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Speaker 1: one that's being talked about.

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Speaker 4: And I would say a step further, if you think

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Speaker 4: you are, that's a U issue and you need to

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Speaker 4: reevaluate and say, well, what am I doing.

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Speaker 2: That makes you think that he is thinking that I'm crazy.

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Speaker 1: That's r NC Committeeman Ak Kamara. We also have grace

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Speaker 1: from this whole conversation. We have Max Rymer, who is

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Speaker 1: disavowing all of this currently the third out.

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Speaker 3: But we're getting a little too free on this Friday.

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Speaker 3: I think Freedom Friday. Let's go here.

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Speaker 1: Good morning, John, I guess I am a spin instructor. Oh,

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Speaker 1: I had a class.

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Speaker 2: This morning at five thirty am. Let's go.

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Speaker 1: Let's not be really quick. Hold on, let me stop

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Speaker 1: real quick. I love Scott. Scott's the best fat emails

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Speaker 1: me all the time. Yeah, he's you know, he is

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Speaker 1: top of the list on the Friends of the show,

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Speaker 1: probably acting in the top five. Dude, how many things.

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Speaker 2: Do you do?

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Speaker 1: Like every time he leaves something. It's like I'm InTru

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Speaker 1: with Everest. I'm traveling in Germany right now, and I'm

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Speaker 1: also with spin instruct.

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Speaker 3: Hey John and friends, and just got done running a

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Speaker 3: marathon at four thirty in the morning.

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Speaker 5: I would take this guy's spin class.

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Speaker 3: He's bringing the energy.

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Speaker 1: Yeah, John, I own a Baristas shop and I can

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Speaker 1: tell you it's like you do it a lot, dude.

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Speaker 2: Just say Scott. Shout out to Scott.

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Speaker 1: He's a true renaissance man. Last night I checked the roster.

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Speaker 3: Fourteen people signed up.

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Speaker 6: This morning, only seven came into class.

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Speaker 4: So now I'm wondering, is this because of the ice

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Speaker 4: enforcements that is ruining my classes.

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Speaker 1: It's really where we've landed. Can you please do some research.

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Speaker 1: It's really a great day. It really is where it

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Speaker 1: really is, where we've where we've arrived.

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Speaker 3: Honestly, Scott could push that story to the Start Tribute

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Speaker 3: and actually, yeah, they would run it.

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Speaker 7: Small business owners getting run out of business because of.

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Speaker 1: Ice, Obesity rates on the US because ice enforcement and

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Speaker 1: the lack of going to the spin classes. Okay, let's

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Speaker 1: go here, Hey John Eric here from Fredley.

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Speaker 8: Hi.

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Speaker 1: Eric, I was just thinking, Okay, if we.

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Speaker 9: Were involved in a relationship with somebody that acted like

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Speaker 9: these lefties do, we would want to leave that toxic

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Speaker 9: relationship so fast because we were using our emotions to

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Speaker 9: manipulate us. Okay, So why the heck are we putting

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Speaker 9: it up with with them? Well we aren't, But anybody

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Speaker 9: else why are they putting up with it?

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Speaker 2: Well? God, why?

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Speaker 1: I guess it depends on what you're referring to as

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Speaker 1: far as what is your definition of putting up with.

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Speaker 3: Oh, it's half the country, So.

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Speaker 1: Yeah, we do quite a bit of on this show appropriately,

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Speaker 1: So I didn't think.

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Speaker 3: We're going to slide into national divorce. Conversation. But here

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Speaker 3: we are.

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Speaker 2: Here, we are No.

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Speaker 4: I actually I put up this post talking about, like

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Speaker 4: people are joking around, Minnesota should be given to Canada,

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Speaker 4: and then Alberta comes to the United States, and I said, well,

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Speaker 4: how about this, Let's just remove the nine counties that

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Speaker 4: voted against Trump. I'll phrase it that way in twenty

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Speaker 4: twenty four, and then we'll carve out a couple of

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Speaker 4: precincts in some cities like Forest Lake, because technic we're

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Speaker 4: in Washington County. And then we can build like fifty

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Speaker 4: foot walls and then we don't have to worry about

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Speaker 4: national divorce and they can go to Canada. So Hennepin County,

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Speaker 4: Ramsey County, sorry about you. You know, you guys get

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Speaker 4: to be part of Canada and the rest of us

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Speaker 4: will stay in Minnesota.

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Speaker 3: If Minnesota got annexed to Canada. That is the one

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Speaker 3: way I'm getting out of this. I'm done. I'm not

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Speaker 3: going to be Canadian.

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Speaker 10: No.

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Speaker 3: Never, That's not what my ancestors fought and died for.

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Speaker 11: Nope, I am going to be blunt and mean. I

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Speaker 11: really don't care about the protesters that I really don't

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Speaker 11: care about people who are here illegally. It did take

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Speaker 11: this story about the cat that made me a teeny

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Speaker 11: weeny bit concerned about people being arrested by ice. Just

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Speaker 11: a teeny.

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Speaker 4: Bit really, I'm telling you is I'm saying that's their point, okay.

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Speaker 7: Man, No, no, in seriousness, Like it's a sad story.

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Speaker 7: But the blame does not fall on the federal agents

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Speaker 7: who are carrying out our country's immigration laws and enforcing

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Speaker 7: our border and getting dangerous people off our streets. The

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Speaker 7: blame falls on the people who entered the country illegally.

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Speaker 7: So if you're picturing this cat, this little puppy being

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Speaker 7: left alone and scared and confused and wondering where their

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Speaker 7: owner is, like, blame the person who entered illegally and

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Speaker 7: has been rightfully removed.

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Speaker 1: Well, and where was all the concern in COVID when

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Speaker 1: all these people went and adopted all these animals and

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Speaker 1: the pandemic ended, and they went and returned all of

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Speaker 1: them and they were done.

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Speaker 3: Yeah that was true, come of the Yeah, that was exactly.

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Speaker 7: It's the same thing with like how you know puppy

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Speaker 7: adoptions take up in December and then you've all these

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Speaker 7: puppies thrown on the street in January.

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Speaker 5: It's so upsetting.

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Speaker 1: So let me let me take that, let me take

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Speaker 1: her comment, and we'll go here and then we'll move

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Speaker 1: over to yarn.

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Speaker 3: Oh good.

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Speaker 1: Oh it's not nearly as it's not nearly as boring

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Speaker 1: as you might think. But they should go and take advantage.

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Speaker 1: I'm all for adoption of animals from people that want pets.

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Speaker 1: I think pets enrich our lives. I absolutely adore my

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Speaker 1: dog Artemis, even though she just hates everybody outside of

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Speaker 1: the walls of our home, but I still love her nearly.

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Speaker 1: So if people want to go and use this in

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Speaker 1: order to promote the adoption of pets that have been

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Speaker 1: left behind by those who did not respect a sovereignty

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Speaker 1: of this country, I am all for that.

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Speaker 2: And you're fine.

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Speaker 4: Here's the thing that's crazy too. I think that the

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Speaker 4: White House and ICE could use this. They should take like,

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Speaker 4: I'm gonna actually send the story over to some folks

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Speaker 4: and say, not only should you self deport and get

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Speaker 4: twenty six hundred dollars, but we have set up the

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Speaker 4: ability for you to actually hand over your animal to

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Speaker 4: a loving, caring family as you self deport. And I

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Speaker 4: think that that's how we fight the narrative. Come on,

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Speaker 4: I mean it makes sense. But here's the thing. Also,

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Speaker 4: if you break a law and you go to jail

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Speaker 4: and you have animals, or you have kids, or you

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Speaker 4: have a family, the.

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Speaker 2: Same thing happened. You get separated because.

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Speaker 3: You broke the law.

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Speaker 2: You broke the law.

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Speaker 4: So I don't feel bad for drug dealers who have

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Speaker 4: dogs and their dogs have to go somewhere because I mean,

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Speaker 4: I feel bad for the animal.

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Speaker 2: It's not their fault. But that's what happens when you

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Speaker 2: break the law.

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Speaker 1: We should start a Pets for legals campaign. Yes that

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Speaker 1: we should do. Yeah, yes, pets for legals.

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Speaker 4: We're gonna make money one way or another this morning, mass.

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Speaker 7: Whether it's by getting animals good homes or petting legal immigrant.

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Speaker 3: Before we move onto yarn, before we move on to yarn.

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Speaker 1: Okay, okay, yeah, I'm gonna.

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Speaker 2: Get up by my soapbox here.

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Speaker 3: Oh we are. We have way too much value invested

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Speaker 3: in animals in this country. Okay, when you look at

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Speaker 3: these doggy daycares and the taj Mahals that we're building

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Speaker 3: for a bunch of millennials who are unwilling to have

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Speaker 3: children themselves. This whole idea that this has impacted you

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Speaker 3: in some form or fashion more than a story about

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Speaker 3: human beings or victims of illegal immigrants or what. There

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Speaker 3: is a there is a problem in this country. We're

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Speaker 3: not having kids at the right we used to. We're

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Speaker 3: replacing those kids with fur babies. And then we're talking

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Speaker 3: as if this should be a top ten story in

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Speaker 3: the whole dialogue about illegal immigration right now. Now it's disturbing, man.

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Speaker 3: I mean you go and look at some of these

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Speaker 3: doggy daycares that are being built, these pet hotels, and

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Speaker 3: it's like, what are we investing in Our GDP is

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Speaker 3: going to like taking care of people's animals, and we're

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Speaker 3: treating them on the same level as human beings. And

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Speaker 3: this isn't just this story. This is a number of

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Speaker 3: stories where we were treating animals as if they are

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Speaker 3: actually children. Right now, that cat, that cat, and that dog,

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Speaker 3: that cat that has been taken by illegal immigrants. Yeah,

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Speaker 3: maybe it's a little bit scared, but you get it.

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Speaker 3: You give that cat. It's a little cat, nip, it's

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Speaker 3: a little fish. He's fine, he's fine. Comes in like

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Speaker 3: level eleven. He turned it up.

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Speaker 4: Man.

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Speaker 3: This for this last reason, we are treating we are

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Speaker 3: treating animals like human beings. It's like part of the

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Speaker 3: fall of Rome here, I'm legitimately afraid to bring.

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Speaker 1: Based off of.

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Speaker 3: Oh, I got some opinions about Yarn too.

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Speaker 1: I feel like I feel like there's a weird dynamic

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Speaker 1: like Grace, you shift further to this side of the

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Speaker 1: room because I feel like AKA, and now you've succumbed

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Speaker 1: to it. And typically your cohort, Catherine Johnson, that's like

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Speaker 1: a Catherine take right there. And I just feel like

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Speaker 1: there's something happening with with the north side of the studio.

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Speaker 1: I feel like the construction going on. I don't know

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Speaker 1: if there's something that's impacting that side of.

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Speaker 3: The room, but that just hit me in a certain way. Apparently, well,

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Speaker 3: the cats, the cat's getting three round meals a day.

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Speaker 3: Minnesultans aren'tetting three round meals a day, all right, So

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Speaker 3: the human beings, here's what we're gonna do.

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Speaker 1: We're gonna get to Yarn. We're gonna get to Yarn

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Speaker 1: via this talkback and share with you the story. Next,

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Speaker 1: we'll get back to more of your thoughts from the

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Speaker 1: iHeartRadio app here on Twin Cities News Talk Good.

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Speaker 8: Morning, John.

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Speaker 2: I just had to share.

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Speaker 12: Yesterday we were in a meeting.

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Speaker 2: He's out of school.

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Speaker 12: One of my more left leaning colleagues was knitting a

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Speaker 12: red resistance hat. I know this because it was posted

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Speaker 12: on Facebook as a Norwegian Red Resistance hat.

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Speaker 3: But you see, irony, it's rad it's maga.

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Speaker 2: Oh my god. You can't make it up.

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Speaker 1: Well you can't, but it's absolutely true. I'll share with

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Speaker 1: you the story next and with the Freedom Friday crew,

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Speaker 1: Saint Louis park yarn stores, red hat protest takes place and.

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Speaker 13: Takes off around the world ghos on twin cities. These

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Speaker 13: talks AM eleven FAM one, O three point five mad

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Speaker 13: on the Free, iHeartRadio APPO.

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Speaker 2: John and everybody too.

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Speaker 14: Boy Terry here from the Trust of Minnesota. Is there

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Speaker 14: some actual like disease or virus related to owning a

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Speaker 14: cat as a virus that cats get in their fecal matter. Yep,

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Speaker 14: it's called toso plasmosis. I believe I'm gonna check that out.

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Speaker 14: It's legitimately a thing where people that own cats get

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Speaker 14: this virus and it impacts their brain and thought process.

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Speaker 14: All right, have a good one, guys, Audios.

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Speaker 1: Yeah, I have to bring the room down. I actually had.

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Speaker 1: There was a girl I went to school with the

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Speaker 1: diet of that new It's just tragic, tragic and sad. Also,

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Speaker 1: there's your podcast Our.

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Speaker 5: Three tragic and sad.

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Speaker 1: This is also kind of tragic and sad. I'm gonna

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Speaker 1: share with you the story here from Fox nine in

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Speaker 1: just a moment. First, we'll introduce the Freedom Friday guests.

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Speaker 1: Here on Twinnesday's news Talk, we have Grace keating from

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Speaker 1: Center the American Experiment r n C committeemen and business

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Speaker 1: owner A K. Kamara Representative Max Raymer. A lot of

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Speaker 1: people are commenting on your on your little rant there, Maxim, Well,

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Speaker 1: not a lot of them on your side. I'm gonna

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Speaker 1: sparel over there. You know, I I love I love

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Speaker 1: my I love my pet dearly. So she's she's she's

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Speaker 1: she's my friend.

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Speaker 3: But I understand here, we're all entitled to our open Let's yeah,

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Speaker 3: let's talk yarn.

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Speaker 2: Okay, let's talk yarn.

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Speaker 1: Let's go to Fox nine for this story about how

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Speaker 1: the Saint Lewis Park yarn stores. Red hat protests has

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Speaker 1: now taken off around the world war so we.

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Speaker 15: Know that hats are usually meant to keep people warm.

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Speaker 2: But we have a yarn shop owner in St.

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Speaker 15: Louis Park who's hoping her handmade hats will melt ice.

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Speaker 1: I'm gonna throw up so earnest.

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Speaker 3: So he thought that was a banger coming out of

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Speaker 3: as well really just oh yeah, I'm just gonna I'm

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Speaker 3: gonna emphasize this, givinguiet at the end.

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Speaker 1: I'm gonna go so hard on this yarn conversation.

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Speaker 5: Is is this like a cable news show?

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Speaker 1: What is this just Fox nines? Dude, I don't know

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Speaker 1: who's less.

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Speaker 5: This is why people get their news on the Internet.

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Speaker 5: That's all I'm gonna say. Social media is where it's at. People.

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Speaker 15: Our Morey Glover shows is how her protest against the

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Speaker 15: immigration crackdown is now taking off across the world.

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Speaker 16: I'm proud of the things that I can create by

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Speaker 16: knowing how to net.

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Speaker 17: The presence of ice in Minnesota has Gila Mishaw seeing red.

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Speaker 16: I forgot to keep track of who is calling from

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Speaker 16: where today.

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Speaker 17: Now the owner of the Needle and skiin yarn shop

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Speaker 17: is using that color to protest the immigration crackdown through

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Speaker 17: her favorite hobby.

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Speaker 1: Have we never It cracks me up? How how local

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Speaker 1: media and it's really local media has never moved away

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Speaker 1: from the stupid puns. No, they still. I mean it

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Speaker 1: has been generations.

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Speaker 5: Exactly what I mean? What is this format? Who is

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Speaker 5: watching this?

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Speaker 1: I get that I'm.

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Speaker 5: Young, I'm not the target.

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Speaker 4: Demographic, but come on, punchy dad and mom jokes.

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Speaker 16: Apparently, it's created camaraderie, It's created a lot of love.

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Speaker 16: It's and it's most importantly, has created a lot of

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Speaker 16: help for our neighbors and our fronts.

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Speaker 17: Michelle says during a knit along a few weeks ago,

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Speaker 17: she and her fellow knitters wanted to show up oppositions

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Speaker 17: to Operation Metro Surge after the killing of Renee Good.

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Speaker 18: Oh no, not those stupid red resistance hats.

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Speaker 10: I went over to my parents' house otherday and my

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Speaker 10: mom's been knitting.

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Speaker 1: I'm like mad, and I'm just like I'm leaving.

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Speaker 16: Crafters are inherently generous.

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Speaker 17: A shop employee came up with a pattern for red

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Speaker 17: hat that members of the Craft and Can Unity can

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Speaker 17: buy for five dollars to knit their own melt the

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Speaker 17: ice hats, while the shop donates the proceeds to organizations

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Speaker 17: that help local immigrants.

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Speaker 19: Hey, John, I'm wondering if I can spend my two

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Speaker 19: dollars and seventy three cents that I'll get for the

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Speaker 19: Minneapolis Nobel Peace Price to buy one of those red hats.

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Speaker 17: With expenses like rent and groceries, because they can't leave

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Speaker 17: their homes.

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Speaker 16: When we see that happening to our neighbors and our friends,

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Speaker 16: we have to step up and do something. And this

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Speaker 16: is the something that I could do.

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Speaker 2: Michelle says.

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Speaker 17: The red hats are based on similar ones worn by

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Speaker 17: Norwegians in the forties to protest the occupation of their

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Speaker 17: country by the Nazis. So far, the store has raised

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Speaker 17: six hundred and fifty thousand dollars.

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Speaker 1: Six hundred and fifty thousand dollars.

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Speaker 2: They have rained you can get it in on the griff.

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Speaker 5: Where is that going? Don't you wonder who is getting

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Speaker 5: a cut of that?

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Speaker 2: Man? It's going to the cathouse.

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Speaker 7: There is a lot, a lot of happy cats out

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Speaker 7: there today, a lot.

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Speaker 1: Of disposable income for the broken and brainwashed apparently.

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Speaker 5: And a lot of time on their hands.

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Speaker 1: Six one hundred and fifty grand.

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Speaker 20: Wow, Good morning, John Justice and the crew there. I

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Speaker 20: was thinking, I like to get one of those who

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Speaker 20: read knitted hats and also get a Magot hat and

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Speaker 20: wear them at the same time.

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Speaker 2: I wonder what they would.

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Speaker 20: Do if I had both on support Maggot and support

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Speaker 20: the nice thing.

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Speaker 1: It might not have been a bad idea. When the

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Speaker 1: temperatures are much colder than that means we've got some

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Speaker 1: mild temps. Now your head might get a little too

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Speaker 1: hot wearing too much apparel from all over the world.

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Speaker 17: While the hats have become so popular, they've caused a

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Speaker 17: shortage of red yarn here in the Twin Cities and

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Speaker 17: across the country.

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Speaker 1: Okay, now we're gonna get the dueling press conferences of

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Speaker 1: the veterinarians coming out talking about how people are not

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Speaker 1: taking in their pets because they're of being deported by

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Speaker 1: ice and animals left off. And then we're going to

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Speaker 1: get the yarn community coming out and saying, now we

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Speaker 1: have a shortage of red yarn, so you're not going

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Speaker 1: to be able to enjoy any red apparel because of

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Speaker 1: the massive demand for these Norwegian red ice protest hats.

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Speaker 7: All of this just feels like this story and the

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Speaker 7: one about the ice sculpture. All this just feels like

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Speaker 7: a desperate attempt to keep ICE in the news.

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Speaker 5: People they're pulling out.

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Speaker 7: They're cooperating, or our state leaders are cooperating unprecedented cooperation

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Speaker 7: with Ice.

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Speaker 5: Now it's over, they're leaving. We don't need more hats.

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Speaker 1: I was contacted by the BBC earlier this week because

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Speaker 1: they're heading to town, and so they had reached out

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Speaker 1: to me because they wanted somebody who was pro ICE

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Speaker 1: and against the protesters to interview. I said, yeah, reach

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Speaker 1: out to me.

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Speaker 2: But I was.

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Speaker 1: Thinking, to your point when they reached out, this was

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Speaker 1: like on Wednesday. I think I was like, they're getting

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Speaker 1: here next week. By the time they get here.

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Speaker 3: They're trying to squeeze.

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Speaker 1: Things are winding down. But you're right, the left is

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Speaker 1: simply not letting don't want to let any of this,

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Speaker 1: any of this go. The live action role playing is real.

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Speaker 1: They are thriving off of this. This is I don't

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Speaker 1: mean this. It's not fun. But I made the comparison

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Speaker 1: the other day to when I say live action role playing,

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Speaker 1: I mean it. There are individuals that go and get

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Speaker 1: dressed up like they're straight out of the Civil War,

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Speaker 1: wearing all of the appropriate garb when they go out

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Speaker 1: onto a battlefield, that they've made in modern day and

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Speaker 1: they re enacted these civil you know, these civil wars,

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Speaker 1: and they try to be as accurate as they can.

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Speaker 1: This is how the left is treating all of this.

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Speaker 1: They are like those individuals who are re enacting the

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Speaker 1: civil war of the past, but they're doing it in

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Speaker 1: real time because they actually believe and have bought into

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Speaker 1: all of the ridiculous rhetoric that they have heard for

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Speaker 1: over a decade now relating to President Donald Trump.

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Speaker 4: And it's because listen, the older generation, the older baby boomers,

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Speaker 4: they did have the Civil Rights era and the ones

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Speaker 4: that are younger baby Boomers or even older gen xers

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Speaker 4: never had that, but they did have Star Wars, and

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Speaker 4: that's why they feel like they're part of the rebellion.

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Speaker 4: They're part of the rebel. And that's why you were

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Speaker 4: even seeing that stupid now Minnesota rebel besmirchment of Star

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Speaker 4: Wars where they combined the loon and the rebel symbol

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Speaker 4: man like it's just but that's how they truly need

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Speaker 4: to create this perspective that they are finally they have

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Speaker 4: their moment where they can stand up for something historic

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Speaker 4: and I love to see like all of that narrative

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Speaker 4: fall apart because what did the Trump administration do. They

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Speaker 4: made the big ass They came in with three thousand

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Speaker 4: and they were like, we are not going to relent.

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Speaker 4: And then Tom Holman comes in with the soft glove

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Speaker 4: approach and says, hey, hey, all we got to get

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Speaker 4: you to do is just across all.

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Speaker 2: Of your counties, all of your.

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Speaker 4: Jails, all of your facilities, release your illegal aliens to us.

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Speaker 2: Yes, and then we'll give them the victory apps.

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Speaker 4: So when there's leftists out there and we won, I'm like, yeah,

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Speaker 4: have your roses, have your flowers, because this will deflate

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Speaker 4: all of this tension. And I think it's been played

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Speaker 4: masterfully by the Trump administration so far.

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Speaker 16: I am surprised, but I'm not surprised. When knitters and

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Speaker 16: crouchets say something that needs to be done, they get

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Speaker 16: together and they do it.

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Speaker 17: Michalle says the Melty Ice satire more than just a

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Speaker 17: fashion statement. They've become a show of solidarity, and she's

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Speaker 17: grateful she can use her talents to help get Ice

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Speaker 17: out of Minnesota, even if it's one stitch at a time.

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Speaker 16: Knit You're at hats Clara, be proud.

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Speaker 17: Michelle says her goal is to reach a million dollars,

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Speaker 17: but she says if there's still demand, she'll continue to

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Speaker 17: sell the melthy.

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Speaker 3: Ice cat patterns after that.

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Speaker 2: In Saint Louis Park, Maury Glover box.

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Speaker 1: And again that's a fox and I and I got

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Speaker 1: a couple of a couple of talkbacks that rolled in.

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Speaker 1: Anybody want to comment before I Before.

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Speaker 7: I get to those, I'll just say, I bet that

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Speaker 7: woman is so upset that she's in Saint Louis Park

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Speaker 7: and not Minneapolis and is not a nominee for a

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Speaker 7: Nobel Prize.

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Speaker 5: Right, that's gotta hurt.

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Speaker 3: So failing address might be Minneapolis too, Honorary participator.

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Speaker 18: If Renee can net a muzzle, she could try it

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Speaker 18: out on herself.

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Speaker 2: That'd be nice.

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Speaker 4: It's not very nice. I think her name was Mitchell

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Speaker 4: or Motchell. It was it was something weird. It was

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Speaker 4: not mushell.

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Speaker 2: It was something odd.

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Speaker 1: Yeah, it was. It was like an It was like

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Speaker 1: it was a Norwegian take on it.

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Speaker 5: Oh boy, here we go.

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Speaker 21: Now we're going to have the red hats.

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Speaker 11: They're going to be like those pink female anatomy hats

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Speaker 11: that they.

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Speaker 3: All walk around in. And also they're walking around in

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Speaker 3: their reflective vests twenty four to seven.

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Speaker 2: You can spot them a mile away.

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Speaker 15: Seriously, this just sums up the lefty libs.

445
00:20:47,760 --> 00:20:49,800
Speaker 21: I mean, how more beta can you get them?

446
00:20:49,880 --> 00:20:50,840
Speaker 15: Let's new hats.

447
00:20:51,200 --> 00:20:52,639
Speaker 2: We're going to strip back with that.

448
00:20:55,400 --> 00:20:58,920
Speaker 1: You guys are fantastic this morning. All right, your talk

449
00:20:59,040 --> 00:21:01,679
Speaker 1: back in the day coming up. Talk more with our

450
00:21:01,720 --> 00:21:05,600
Speaker 1: guests in the studio on a Freedom Friday. Also pizza

451
00:21:05,680 --> 00:21:08,440
Speaker 1: Joint downtown doing their part to push back against them.

452
00:21:08,440 --> 00:21:11,480
Speaker 3: Great great pizza knitting kittens.

453
00:21:11,720 --> 00:21:14,080
Speaker 5: Keep fraud out of the news people. It's all eyes,

454
00:21:14,160 --> 00:21:15,280
Speaker 5: no fraud looks the other.

455
00:21:29,640 --> 00:21:31,800
Speaker 15: So we know that hats are usually meant to keep

456
00:21:31,800 --> 00:21:34,960
Speaker 15: people warm, but we have a yarn shop owner in

457
00:21:35,000 --> 00:21:40,320
Speaker 15: Saint Louis Park who's hoping her handmade hats will melt ice.

458
00:21:41,200 --> 00:21:43,000
Speaker 2: Think of how easy it would be to be a

459
00:21:43,080 --> 00:21:45,919
Speaker 2: damn Republican. Oh what should I wear today?

460
00:21:45,960 --> 00:21:47,520
Speaker 1: This stupid freaking red hat.

461
00:21:47,840 --> 00:21:49,399
Speaker 2: What should I say today? I don't know.

462
00:21:49,560 --> 00:21:50,680
Speaker 1: Just make sure it's cruel.

463
00:21:50,960 --> 00:21:53,959
Speaker 15: Who do we listen to that guy?

464
00:21:54,440 --> 00:21:54,680
Speaker 14: Oh?

465
00:21:54,720 --> 00:21:55,440
Speaker 2: That's perfect.

466
00:21:55,600 --> 00:21:57,280
Speaker 3: I like that rant now because now we have a

467
00:21:57,280 --> 00:21:58,959
Speaker 3: new red hat to throw under the bus.

468
00:21:59,560 --> 00:22:01,919
Speaker 1: Twins and these news Talk Am eleven thirty one oh

469
00:22:01,920 --> 00:22:04,639
Speaker 1: three five FM final segment for a Freedom Friday in

470
00:22:04,840 --> 00:22:07,600
Speaker 1: studio Max rymer Ak Kamara and Grace Keating as we

471
00:22:07,640 --> 00:22:10,520
Speaker 1: talk about the woman who apparently has made some six

472
00:22:10,680 --> 00:22:16,640
Speaker 1: hundred and fifty thousand dollars by selling knitted red hats

473
00:22:17,080 --> 00:22:21,840
Speaker 1: Norwegian style to protest ice and their operations. We do

474
00:22:21,960 --> 00:22:23,280
Speaker 1: have to get to your talkback of the day. I

475
00:22:23,320 --> 00:22:24,800
Speaker 1: do have a lot of questions that have been raised

476
00:22:24,920 --> 00:22:26,920
Speaker 1: over this, and I'm gonna have to award to two

477
00:22:27,160 --> 00:22:30,360
Speaker 1: talkbacks of the day in this because they're both equally good.

478
00:22:30,359 --> 00:22:32,600
Speaker 1: It's brought to you by Mini leafimnileaf dot com, m

479
00:22:32,640 --> 00:22:35,840
Speaker 1: I n n e l eaf dot com. They do

480
00:22:36,000 --> 00:22:38,720
Speaker 1: give you your talkbacks of the day today.

481
00:22:38,960 --> 00:22:44,000
Speaker 6: First we go here, Hey guys, just wondering if the

482
00:22:44,119 --> 00:22:48,800
Speaker 6: proper way to install the tenfoil lining is included with

483
00:22:48,920 --> 00:22:49,840
Speaker 6: that five dollars.

484
00:22:51,080 --> 00:22:52,960
Speaker 1: That is your first talkback of the day. Now we

485
00:22:53,000 --> 00:22:56,120
Speaker 1: give you talkback of the day number two. Easy way

486
00:22:56,160 --> 00:22:59,320
Speaker 1: to fix this red hat thing. Put one hundred percent

487
00:22:59,359 --> 00:23:04,080
Speaker 1: tariff on red yarn. Those are your talk back to

488
00:23:04,119 --> 00:23:06,040
Speaker 1: the day, brought to you by many Leaf, mini leaf

489
00:23:06,080 --> 00:23:08,040
Speaker 1: dot com. You guys are on fire.

490
00:23:08,119 --> 00:23:08,600
Speaker 2: This morning.

491
00:23:08,880 --> 00:23:12,680
Speaker 18: Okay, they're in demand all over the world and now

492
00:23:12,680 --> 00:23:17,000
Speaker 18: there's a massive shortage of red yarn bs. And she

493
00:23:17,080 --> 00:23:21,080
Speaker 18: didn't raise that much money. A bunch of liberals donated

494
00:23:21,200 --> 00:23:23,800
Speaker 18: or something. I just say, bs.

495
00:23:24,040 --> 00:23:26,239
Speaker 1: Yeah, okay, this is like a it seems like a

496
00:23:26,359 --> 00:23:29,439
Speaker 1: very small operation. I don't know how much she's selling

497
00:23:29,480 --> 00:23:32,440
Speaker 1: these red these red knitted hats for and.

498
00:23:32,400 --> 00:23:34,280
Speaker 3: It' said five dollars a pop. Is that what I

499
00:23:34,320 --> 00:23:35,119
Speaker 3: remember hearing?

500
00:23:35,160 --> 00:23:38,760
Speaker 7: That selling the knitting pattern, isn't it? It's not literally

501
00:23:40,000 --> 00:23:41,560
Speaker 7: So there's people out there who were saying, like, I

502
00:23:41,560 --> 00:23:43,320
Speaker 7: don't knit, but I bought the pattern.

503
00:23:43,080 --> 00:23:43,639
Speaker 2: Just to you know.

504
00:23:44,040 --> 00:23:47,080
Speaker 1: Okay, so you because I get it you were actually

505
00:23:47,080 --> 00:23:48,320
Speaker 1: paying attention to the audio that.

506
00:23:48,440 --> 00:23:52,239
Speaker 4: Well that but and listen, this could be one of

507
00:23:52,280 --> 00:23:55,199
Speaker 4: these like type of like I don't know, George Sarrol's

508
00:23:55,200 --> 00:23:58,840
Speaker 4: funded organizations that went and like pre ordered ten thousand

509
00:23:59,280 --> 00:23:59,680
Speaker 4: good points.

510
00:24:00,560 --> 00:24:05,840
Speaker 22: Right, wait a minute, is this the reason why my

511
00:24:06,000 --> 00:24:11,240
Speaker 22: mom and get red yarn to make for MAGA hats

512
00:24:11,280 --> 00:24:15,920
Speaker 22: because of all this melty ice hats.

513
00:24:16,680 --> 00:24:17,760
Speaker 1: I'm ridiculous.

514
00:24:19,080 --> 00:24:22,240
Speaker 8: This conversation is funny, but not really funny. It would

515
00:24:22,280 --> 00:24:24,480
Speaker 8: be really nice if those people would reach out to

516
00:24:24,520 --> 00:24:27,879
Speaker 8: the people that are citizens of this country that are homeless,

517
00:24:28,280 --> 00:24:32,040
Speaker 8: the ve's all these people that have major mental health issues,

518
00:24:32,080 --> 00:24:34,639
Speaker 8: but no, they need to do this virtue signaling that

519
00:24:34,760 --> 00:24:37,480
Speaker 8: makes me want to puke, and then have all these

520
00:24:37,480 --> 00:24:40,119
Speaker 8: little things set up with their hats and whatever they're doing.

521
00:24:40,520 --> 00:24:44,320
Speaker 8: It's repulsive and sickening, and I wish America would just

522
00:24:44,400 --> 00:24:47,119
Speaker 8: really just wake up and shame on you for leaving

523
00:24:47,160 --> 00:24:47,760
Speaker 8: your dogs.

524
00:24:49,040 --> 00:24:51,520
Speaker 5: Amen, lady, I'm with you.

525
00:24:51,600 --> 00:24:55,360
Speaker 1: Timmy. Can't combine the dogs and the cats being left

526
00:24:55,400 --> 00:24:58,720
Speaker 1: behind with the knitting. I feel like there's an enterprise. Yeah,

527
00:24:59,160 --> 00:25:01,840
Speaker 1: that's a good innsect to get ice sculptures involved in

528
00:25:02,200 --> 00:25:04,320
Speaker 1: all of this. We're really just covering just all of

529
00:25:04,320 --> 00:25:06,320
Speaker 1: our bases. This morning here on Twin City's news talk

530
00:25:07,119 --> 00:25:10,600
Speaker 1: Rectangle Pizza has unfurled a pair of massive banners over

531
00:25:10,640 --> 00:25:14,600
Speaker 1: the sides of its Lynn Lake restaurant and protest of ice.

532
00:25:14,800 --> 00:25:17,320
Speaker 1: The pizza shop has also gained a national attention for

533
00:25:17,400 --> 00:25:20,639
Speaker 1: its herculean efforts, according to Bring Me the News, to

534
00:25:20,720 --> 00:25:24,040
Speaker 1: raise funds for the community and deliver frozen pizzas to

535
00:25:24,080 --> 00:25:28,520
Speaker 1: people in need throughout January. The restaurant wasn't shy about

536
00:25:28,520 --> 00:25:31,560
Speaker 1: sharing its feelings about ICE's presence in Minnesota. But if

537
00:25:31,560 --> 00:25:34,840
Speaker 1: there was any doubt, Rectangle raised it by draping a

538
00:25:34,880 --> 00:25:37,520
Speaker 1: banner over each side of its corner location. The banner

539
00:25:37,600 --> 00:25:42,280
Speaker 1: now draped over the Lyndale facade reads Ice out of Minnesota,

540
00:25:42,359 --> 00:25:46,120
Speaker 1: while the banner facing Lake Street reads for Good, which

541
00:25:46,160 --> 00:25:49,040
Speaker 1: would really be confusing, especially with the second Wicked movie

542
00:25:49,080 --> 00:25:49,399
Speaker 1: coming out.

543
00:25:49,560 --> 00:25:52,960
Speaker 5: I was just gonna say that. I bet that was intentional.

544
00:25:53,920 --> 00:25:56,080
Speaker 1: An Ice out of Minnesota also confusing if you're not

545
00:25:56,080 --> 00:25:58,119
Speaker 1: seeing the other side, considering the amount of ice that

546
00:25:58,200 --> 00:26:01,000
Speaker 1: has been actually on the streets for the longest period

547
00:26:01,000 --> 00:26:01,280
Speaker 1: of time.

548
00:26:02,040 --> 00:26:06,360
Speaker 3: So anybody actually have rectangle pizza is a good like.

549
00:26:06,320 --> 00:26:09,240
Speaker 4: The act from the actual place. Yeah, they can't say that.

550
00:26:09,320 --> 00:26:13,560
Speaker 4: I try and frequent that area of Minneapolis.

551
00:26:13,640 --> 00:26:15,680
Speaker 1: Is there any aversion in the studio for our guests

552
00:26:15,720 --> 00:26:18,800
Speaker 1: this morning over pizza that is cut into rectangles?

553
00:26:18,840 --> 00:26:20,960
Speaker 5: I know that people, it's very distracting to me. Yeah,

554
00:26:20,960 --> 00:26:21,960
Speaker 5: in this story of a very.

555
00:26:22,000 --> 00:26:24,119
Speaker 1: People often have an issue with I don't personally have

556
00:26:24,160 --> 00:26:26,080
Speaker 1: an issue pizzas pizza. You can not cut the pie

557
00:26:26,080 --> 00:26:26,560
Speaker 1: at all.

558
00:26:26,320 --> 00:26:29,200
Speaker 5: A triangle is the right shape?

559
00:26:29,480 --> 00:26:31,520
Speaker 7: I mean, that's there's no We're not right that's not

560
00:26:31,640 --> 00:26:32,560
Speaker 7: for debating here, is it.

561
00:26:32,680 --> 00:26:37,960
Speaker 4: I mean, listen, it all depends on the crust. If

562
00:26:37,960 --> 00:26:41,200
Speaker 4: you have a nice thick crust, pie slices make sense.

563
00:26:41,600 --> 00:26:44,600
Speaker 4: If it's very very thin crust, it doesn't matter because

564
00:26:44,680 --> 00:26:47,040
Speaker 4: the like it's the crust is thin.

565
00:26:47,280 --> 00:26:50,760
Speaker 2: So I mean, who cares? Just got it into little.

566
00:26:50,560 --> 00:26:53,119
Speaker 3: Squares For me, there's a nostalgia factor with pizza that

567
00:26:53,200 --> 00:26:55,240
Speaker 3: shaped is a rectangle because that's what you would get

568
00:26:55,400 --> 00:26:56,840
Speaker 3: during pizza days at public school.

569
00:26:56,880 --> 00:26:57,080
Speaker 9: Yeah.

570
00:26:57,080 --> 00:27:00,560
Speaker 3: There you could be this undercooked, like just straight out

571
00:27:00,720 --> 00:27:01,760
Speaker 3: block of pizza.

572
00:27:02,160 --> 00:27:04,080
Speaker 1: My mom would when I was a kid. I remember

573
00:27:04,160 --> 00:27:05,760
Speaker 1: my mom would make pizza and she would cut it

574
00:27:05,800 --> 00:27:09,560
Speaker 1: into into squares or rectangles, yes, rectangles as well. I

575
00:27:09,600 --> 00:27:13,200
Speaker 1: got into an argument with there was some new employees

576
00:27:13,240 --> 00:27:17,080
Speaker 1: that were working in the uh, we're working to make

577
00:27:17,080 --> 00:27:18,880
Speaker 1: the pizza at Costco. This is a couple of years

578
00:27:18,880 --> 00:27:21,440
Speaker 1: back at the Costco and cooner happens and I reckon,

579
00:27:21,560 --> 00:27:23,440
Speaker 1: I didn't recognize anybody there. I go, they got a

580
00:27:23,480 --> 00:27:26,359
Speaker 1: new crew here right, and I got the pizza, but

581
00:27:26,480 --> 00:27:29,919
Speaker 1: they didn't slice it in the twelve slices. They like

582
00:27:30,119 --> 00:27:33,240
Speaker 1: missed one of the steps, so the pizza was cut

583
00:27:33,280 --> 00:27:35,680
Speaker 1: in the larger slices that you would typically get when

584
00:27:35,720 --> 00:27:36,879
Speaker 1: you buy a single slice.

585
00:27:37,000 --> 00:27:37,680
Speaker 2: Yeah.

586
00:27:38,880 --> 00:27:40,520
Speaker 1: So I got it, and I always opened up to

587
00:27:40,520 --> 00:27:42,439
Speaker 1: make sure that it's just a pepperoni and it's not

588
00:27:42,520 --> 00:27:44,480
Speaker 1: like a combo or a cheese, you know, or else.

589
00:27:44,520 --> 00:27:46,240
Speaker 1: I get yelled up by the family, and so I

590
00:27:46,280 --> 00:27:48,879
Speaker 1: opened it up and I saw, okay, you missed the

591
00:27:48,960 --> 00:27:51,320
Speaker 1: portion here. And the guy's like no, he didn't. Go well,

592
00:27:51,440 --> 00:27:53,840
Speaker 1: yeah you did. It's supposed to be cut into twelve.

593
00:27:53,920 --> 00:27:55,920
Speaker 1: It's like, this is how we always cut it. I'm like, no,

594
00:27:56,000 --> 00:27:58,399
Speaker 1: it's not. And I even pointed to him the little

595
00:27:58,480 --> 00:28:00,760
Speaker 1: metal thing they put on top when they use the

596
00:28:00,760 --> 00:28:05,240
Speaker 1: pizza cutter. I'm like that you right the thing over there,

597
00:28:05,520 --> 00:28:07,280
Speaker 1: and he's like, no, this is how we always cut it.

598
00:28:07,320 --> 00:28:09,159
Speaker 1: I'm like, okay, whatever, whatever, I just gave up.

599
00:28:09,320 --> 00:28:11,200
Speaker 4: You've been kind of like just for fifty years. I

600
00:28:11,200 --> 00:28:13,679
Speaker 4: don't know where you're from. What he was just back

601
00:28:13,760 --> 00:28:15,720
Speaker 4: to that tom portal you came through.

602
00:28:15,600 --> 00:28:16,960
Speaker 1: I know, pizza to the night guys were all going

603
00:28:17,040 --> 00:28:18,000
Speaker 1: to have bananas and rice.

604
00:28:18,760 --> 00:28:21,680
Speaker 22: You're telling me she's knitted one hundred and thirty thousand,

605
00:28:22,600 --> 00:28:23,160
Speaker 22: Get the hell.

606
00:28:24,240 --> 00:28:27,600
Speaker 1: But I'm just appreciative. That somebody went and actually good, Yes,

607
00:28:28,160 --> 00:28:32,200
Speaker 1: that was awesome, all right, Max Rhymer, Yeah, I remember

608
00:28:32,200 --> 00:28:35,720
Speaker 1: a couple of weeks back you said this. Oh no,

609
00:28:36,000 --> 00:28:38,920
Speaker 1: John Feelin the center of the American experiment. Hey don't

610
00:28:38,960 --> 00:28:41,600
Speaker 1: you Hey, that's me over there. Uh he uh he

611
00:28:41,680 --> 00:28:44,240
Speaker 1: tends to agree with you. Is Minnesota's paid family and

612
00:28:44,320 --> 00:28:46,520
Speaker 1: medical leave scheme running out of money already?

613
00:28:47,160 --> 00:28:47,400
Speaker 2: Yep?

614
00:28:48,200 --> 00:28:48,520
Speaker 3: Weird.

615
00:28:49,080 --> 00:28:51,200
Speaker 1: We're a little over a month into the operation of

616
00:28:51,240 --> 00:28:54,080
Speaker 1: Minnesota's new paid family medical leave how's it going? In

617
00:28:54,160 --> 00:28:57,360
Speaker 1: mid January, CBS News reported the first round of payments

618
00:28:57,360 --> 00:28:59,320
Speaker 1: being made under the scheme, and it noted that since

619
00:28:59,320 --> 00:29:01,560
Speaker 1: the programs start that the state has received more than

620
00:29:01,560 --> 00:29:04,520
Speaker 1: twenty five thousand applications. So far, the determination has been

621
00:29:04,520 --> 00:29:07,040
Speaker 1: made on more than ten thousand of those applications, so

622
00:29:07,080 --> 00:29:11,400
Speaker 1: approximately two thirds are receiving approval. So that was approximately

623
00:29:11,440 --> 00:29:14,880
Speaker 1: six hundred and six thousand, six hundred approvals as of

624
00:29:14,960 --> 00:29:18,920
Speaker 1: January twelfth, or five hundred and fifty a day over

625
00:29:19,080 --> 00:29:23,200
Speaker 1: a year, that comes out to twenty thousand, seven hundred

626
00:29:23,200 --> 00:29:26,360
Speaker 1: and fifty. CBS News also noted the department says it

627
00:29:26,400 --> 00:29:30,120
Speaker 1: expects to approve more than one hundred and thirty thousand

628
00:29:30,200 --> 00:29:34,160
Speaker 1: claims for Minnesotan's this year. So in mid January we

629
00:29:34,160 --> 00:29:37,720
Speaker 1: were running at a fifty four percent higher than forecast rate.

630
00:29:38,440 --> 00:29:41,440
Speaker 1: So what does this mean. In October of twenty twenty three,

631
00:29:41,560 --> 00:29:45,520
Speaker 1: after the program had been passed into law, Milman, a

632
00:29:45,560 --> 00:29:49,800
Speaker 1: worldwide provider of actuarial and related products and services, conducted

633
00:29:49,840 --> 00:29:53,360
Speaker 1: an actuarial analysis at the request of the state government.

634
00:29:53,600 --> 00:29:56,120
Speaker 1: He gets into the math in all of this, but

635
00:29:56,240 --> 00:30:01,040
Speaker 1: essentially it amounts to Milman's analysis gives us a set

636
00:30:01,040 --> 00:30:04,840
Speaker 1: of numbers that leaves us with the conclusion that yes, indeed,

637
00:30:05,080 --> 00:30:07,040
Speaker 1: this whole program is going to be out of money

638
00:30:07,080 --> 00:30:09,320
Speaker 1: in short order. If it's not out of money already, yep.

639
00:30:09,360 --> 00:30:12,160
Speaker 3: And what's going to happen to give you guys another

640
00:30:12,360 --> 00:30:15,320
Speaker 3: glimpse into the future, is in two weeks here, we're

641
00:30:15,360 --> 00:30:18,160
Speaker 3: going to get back together for the legislative session, and

642
00:30:18,200 --> 00:30:20,440
Speaker 3: you're going to hear from my colleagues on the left

643
00:30:20,880 --> 00:30:24,880
Speaker 3: that actually frame this as a smashing success. We have

644
00:30:25,080 --> 00:30:28,040
Speaker 3: so many people who are using this program who didn't

645
00:30:28,160 --> 00:30:31,000
Speaker 3: have access to it before that we need to increase

646
00:30:31,040 --> 00:30:33,680
Speaker 3: the tax rate and increase the revenue in order to

647
00:30:34,360 --> 00:30:37,040
Speaker 3: fund it. And the great reckoning that is about to

648
00:30:37,080 --> 00:30:39,520
Speaker 3: take place across Minnesota is you are going to see

649
00:30:39,520 --> 00:30:42,240
Speaker 3: your favorite restaurants, You're going to see your favorite small businesses.

650
00:30:42,320 --> 00:30:44,800
Speaker 3: You're going to see your favorite main streets and storefronts

651
00:30:45,400 --> 00:30:48,360
Speaker 3: shutter because of mandates like this. It is going to

652
00:30:48,400 --> 00:30:51,760
Speaker 3: be a great reckoning in our state. And the DFL

653
00:30:52,000 --> 00:30:54,320
Speaker 3: thinks it's a great idea to expand it.

654
00:30:54,920 --> 00:30:59,040
Speaker 1: Expected benefits benefit payment. So the total amount of money

655
00:30:59,040 --> 00:31:01,640
Speaker 1: paid out by minnesot just paid family Medical Leave scheme

656
00:31:01,680 --> 00:31:05,480
Speaker 1: in twenty twenty six rises by fifty six percent, or

657
00:31:05,520 --> 00:31:08,400
Speaker 1: five hundred and nine million, to a grand total of

658
00:31:08,480 --> 00:31:13,120
Speaker 1: over two billion dollars, to which, of course, he raises

659
00:31:13,160 --> 00:31:16,320
Speaker 1: the question is there money to actually cover this fund?

660
00:31:16,520 --> 00:31:18,040
Speaker 1: More than likely there's not going to no.

661
00:31:18,080 --> 00:31:20,920
Speaker 7: No, this will be bankrupt sometime in the summer, I expect.

662
00:31:20,960 --> 00:31:22,160
Speaker 5: And that's the problem is then.

663
00:31:22,080 --> 00:31:24,280
Speaker 7: The legislatures, half of the legislature is going to turn

664
00:31:24,280 --> 00:31:25,920
Speaker 7: around and say, well, it's been such a great success,

665
00:31:25,960 --> 00:31:29,280
Speaker 7: let's raise taxes, let's give more money to this excellent program,

666
00:31:29,360 --> 00:31:31,960
Speaker 7: which is just I mean, it makes my blood boil

667
00:31:32,040 --> 00:31:33,040
Speaker 7: the way this is unfolding.

668
00:31:33,080 --> 00:31:36,360
Speaker 4: It's it's like, literally, you could have forecasted this the

669
00:31:36,480 --> 00:31:39,400
Speaker 4: moment that it was passed, I knew that they would

670
00:31:39,520 --> 00:31:43,480
Speaker 4: use this as like it's basically trying to create universal

671
00:31:43,520 --> 00:31:45,920
Speaker 4: basic income, Like this is this is how they're taking

672
00:31:46,000 --> 00:31:48,600
Speaker 4: these little, tiny baby steps to be like, look at

673
00:31:48,640 --> 00:31:51,400
Speaker 4: this program. Isn't it great? So many people rely on it.

674
00:31:51,440 --> 00:31:53,320
Speaker 4: If we get rid of it, it's going to devastate people.

675
00:31:53,360 --> 00:31:54,720
Speaker 4: And then it's like, oh, well, this is why we

676
00:31:54,760 --> 00:31:56,000
Speaker 4: need to get food, This's why we need to.

677
00:31:56,000 --> 00:31:58,600
Speaker 1: Do this well, and this kind of you know, you

678
00:31:58,680 --> 00:32:00,959
Speaker 1: hit me comments about how this is all by design

679
00:32:01,000 --> 00:32:05,400
Speaker 1: before and this really comes down to when you look

680
00:32:05,400 --> 00:32:07,400
Speaker 1: at Governor Tim Walls, we'll just focus on him as

681
00:32:07,400 --> 00:32:09,320
Speaker 1: the figurehead since he's still the governor in the state

682
00:32:09,360 --> 00:32:14,320
Speaker 1: of Minnesota. They cannot pass straight up UBL they cannot

683
00:32:14,360 --> 00:32:18,200
Speaker 1: pass straight up socialist programs, so they basically tinkered around

684
00:32:18,240 --> 00:32:20,760
Speaker 1: the edges. What can we do with these programs? And

685
00:32:20,800 --> 00:32:22,880
Speaker 1: I think, and I'm with you now when it comes

686
00:32:22,920 --> 00:32:25,840
Speaker 1: to the fraud, I think that fraud low barriers of entry,

687
00:32:26,240 --> 00:32:30,440
Speaker 1: no confirmation, you know, uh, don't ask, don't tell. So

688
00:32:30,520 --> 00:32:32,640
Speaker 1: that's the approach that they took. Don't ask, don't tell.

689
00:32:33,480 --> 00:32:35,280
Speaker 3: That's their words. By the way, right, we're not going

690
00:32:35,360 --> 00:32:36,240
Speaker 3: to verify any of this.

691
00:32:36,400 --> 00:32:38,680
Speaker 1: It was all by design, so they couldn't go forward

692
00:32:38,960 --> 00:32:42,200
Speaker 1: because the public still won't accept just straight up socialist

693
00:32:42,240 --> 00:32:45,600
Speaker 1: program So instead we'll just low areas of entry, don't ask,

694
00:32:45,680 --> 00:32:47,560
Speaker 1: don't tell, we're not going to follow up on this,

695
00:32:47,600 --> 00:32:49,160
Speaker 1: and then programs like this that are meant to go

696
00:32:49,160 --> 00:32:50,320
Speaker 1: and redistribute.

697
00:32:49,800 --> 00:32:53,239
Speaker 3: The wealth and the same, the same controlled destruction is

698
00:32:53,280 --> 00:32:56,120
Speaker 3: happening in the healthcare space too, right, so people need

699
00:32:56,120 --> 00:32:59,320
Speaker 3: to be aware of this. Right where in Minnesota, we're

700
00:32:59,320 --> 00:33:03,040
Speaker 3: adding the trifecta, I think added forty new mandates for

701
00:33:03,080 --> 00:33:06,120
Speaker 3: health insurance companies, for instance, new things that health insurance

702
00:33:06,160 --> 00:33:09,560
Speaker 3: companies had to offer, so over time, the goal is

703
00:33:09,600 --> 00:33:13,680
Speaker 3: to have these costs get so inflated over time that

704
00:33:13,760 --> 00:33:16,720
Speaker 3: you're just sick of it. You can't afford constant twenty

705
00:33:16,840 --> 00:33:19,280
Speaker 3: thirty percent premium increases year after year.

706
00:33:19,840 --> 00:33:21,640
Speaker 2: It's all by design.

707
00:33:21,920 --> 00:33:24,760
Speaker 3: They are trying to take down a privatized system that

708
00:33:24,800 --> 00:33:28,400
Speaker 3: has worked in this country in order to implement single payer.

709
00:33:28,680 --> 00:33:31,880
Speaker 3: So when you actually see this kind of UBI but

710
00:33:31,960 --> 00:33:35,480
Speaker 3: not being called UBI thing, know that it is happening

711
00:33:35,520 --> 00:33:39,600
Speaker 3: in every economic aspect of your life. Health insurance is

712
00:33:39,600 --> 00:33:41,240
Speaker 3: the next frontier, I'm telling you right now.

713
00:33:41,360 --> 00:33:42,680
Speaker 2: And that's all been by design.

714
00:33:42,720 --> 00:33:45,680
Speaker 4: From the moment that OBAMACAREY got passed, they knew that

715
00:33:45,720 --> 00:33:47,440
Speaker 4: they were going to blow up the system. And the

716
00:33:47,480 --> 00:33:51,280
Speaker 4: truth is people don't care about historically what's going on.

717
00:33:51,480 --> 00:33:54,000
Speaker 4: They'll open up their bill and say, my god, I

718
00:33:54,040 --> 00:33:55,200
Speaker 4: cannot afford this.

719
00:33:55,600 --> 00:33:57,200
Speaker 2: Someone please save us.

720
00:33:57,480 --> 00:33:59,760
Speaker 4: And that's what the Democrats long game has always been

721
00:33:59,760 --> 00:34:01,560
Speaker 4: for all all of these things make a system that

722
00:34:01,600 --> 00:34:04,800
Speaker 4: people are reliant upon, and then when people start saying, oh,

723
00:34:04,840 --> 00:34:06,640
Speaker 4: my gosh, like we need to fix this, they're like, oh,

724
00:34:06,640 --> 00:34:08,640
Speaker 4: we have a solution for you, even though we literally

725
00:34:08,680 --> 00:34:09,560
Speaker 4: created the problem.

726
00:34:09,960 --> 00:34:13,120
Speaker 1: Well, and this is something that Republicans are in the

727
00:34:13,160 --> 00:34:15,319
Speaker 1: state are going to need to capitalize on going the

728
00:34:15,360 --> 00:34:18,200
Speaker 1: other direction because people are picking up on how much

729
00:34:18,239 --> 00:34:19,840
Speaker 1: this is going to cost, and we've talked about it

730
00:34:19,880 --> 00:34:23,040
Speaker 1: on the air, but when people actually begin, if they

731
00:34:23,040 --> 00:34:25,799
Speaker 1: do to look at how much money they're spending, they're

732
00:34:25,840 --> 00:34:27,279
Speaker 1: going to be shocked. As a matter of fact, we

733
00:34:27,320 --> 00:34:29,920
Speaker 1: have a comment from the iHeartRadio app. Your Talkback's brought

734
00:34:29,920 --> 00:34:31,000
Speaker 1: to you by Lyndall Realty.

735
00:34:31,320 --> 00:34:34,200
Speaker 10: Currently this year in twenty twenty six, on the side

736
00:34:34,239 --> 00:34:37,239
Speaker 10: of my paycheck stub that says deductions and taxes it

737
00:34:37,360 --> 00:34:40,520
Speaker 10: so is about seventeen dollars a check every two weeks.

738
00:34:40,520 --> 00:34:45,120
Speaker 10: So that's just and it fluctuates by percentage, so that's say, yeah,

739
00:34:45,360 --> 00:34:47,399
Speaker 10: anyway from four to five hundred dollars a year, I'm

740
00:34:47,440 --> 00:34:50,280
Speaker 10: paying out. I'll never use it. That makes me so happy.

741
00:34:50,400 --> 00:34:52,719
Speaker 1: Yeah, if you make one hundred thousand dollars a year,

742
00:34:52,760 --> 00:34:54,400
Speaker 1: but you're going to have to pay almost the grand

743
00:34:55,000 --> 00:34:57,960
Speaker 1: every single year into this program.

744
00:34:58,280 --> 00:35:01,560
Speaker 21: Here's an interesting thing too that Minnesota family leave. I

745
00:35:01,600 --> 00:35:04,839
Speaker 21: work for a big corporation as short term disability. So

746
00:35:04,920 --> 00:35:07,200
Speaker 21: if I need that, I applied for the state and

747
00:35:07,239 --> 00:35:10,480
Speaker 21: for the company. The state paid me so much, so

748
00:35:10,520 --> 00:35:13,520
Speaker 21: the company only pays me the difference. So these big

749
00:35:13,520 --> 00:35:17,160
Speaker 21: corporations actually are saving a ton of money on short

750
00:35:17,239 --> 00:35:19,719
Speaker 21: term disability because the state's covering part of it. For

751
00:35:19,960 --> 00:35:23,480
Speaker 21: we are in our taxes. Did people suffer again?

752
00:35:25,600 --> 00:35:29,759
Speaker 1: Scott bessent yesterday talking about the fraud here in Minnesota,

753
00:35:29,840 --> 00:35:32,040
Speaker 1: because I do you know, I've been saying all along,

754
00:35:32,080 --> 00:35:34,239
Speaker 1: I know people have been frustrated because the fraud story

755
00:35:34,239 --> 00:35:36,279
Speaker 1: has kind of taken a bad seat to ice. I've

756
00:35:36,280 --> 00:35:38,560
Speaker 1: been perfectly fine with all of this. I'm fried. I'm

757
00:35:38,600 --> 00:35:40,560
Speaker 1: fine with the break in the fraud discussion because it's

758
00:35:40,560 --> 00:35:43,600
Speaker 1: not going anywhere. These investigations. We had Mike Stewart on

759
00:35:43,640 --> 00:35:46,680
Speaker 1: earlier this week on Monday, there's investigations going on at

760
00:35:46,680 --> 00:35:48,320
Speaker 1: the federal level. We know we're going to get to

761
00:35:48,360 --> 00:35:49,839
Speaker 1: the bottom of a lot of this, and what we've

762
00:35:49,880 --> 00:35:51,680
Speaker 1: known all along and this has just been the tip

763
00:35:51,680 --> 00:35:54,239
Speaker 1: of the iceberg is going to be exposed. And to

764
00:35:54,280 --> 00:35:57,800
Speaker 1: that point, Scott Bessen dropped a bombshell yesterday talking about

765
00:35:57,800 --> 00:36:01,560
Speaker 1: what the IRS is doing relating to audit here in Minnesota.

766
00:36:01,560 --> 00:36:02,680
Speaker 1: Here's what he had to say.

767
00:36:02,640 --> 00:36:07,880
Speaker 23: As civil enforcement is auditing financial institutions that facilitated the

768
00:36:07,960 --> 00:36:13,080
Speaker 23: laundering of Minnesota funds. In addition to helping support criminal

769
00:36:13,239 --> 00:36:18,760
Speaker 23: and civil enforcement efforts, the IRS will also soon announce

770
00:36:18,800 --> 00:36:20,440
Speaker 23: the formation of a task force.

771
00:36:21,239 --> 00:36:23,920
Speaker 1: Yeah, so basically that task force is going to be

772
00:36:24,040 --> 00:36:27,200
Speaker 1: tied to looking at the laundering of Minnesota funds. So

773
00:36:27,239 --> 00:36:30,680
Speaker 1: the IRS is basically launching a major audit into financial

774
00:36:30,719 --> 00:36:34,720
Speaker 1: institutions tied to laundering of the Minnesota funds. And Max

775
00:36:34,880 --> 00:36:36,560
Speaker 1: off the air we were talking about this. We had

776
00:36:36,560 --> 00:36:38,520
Speaker 1: a few minutes left and we can wrap on this.

777
00:36:38,600 --> 00:36:41,680
Speaker 1: But we have the legislative session starting on the seventeenth.

778
00:36:41,760 --> 00:36:45,759
Speaker 1: What's your expectation heading into this year's legislative session. I'm

779
00:36:45,800 --> 00:36:47,839
Speaker 1: assuming it's going to be a lot of bipartisan working

780
00:36:47,920 --> 00:36:50,360
Speaker 1: together and getting the betterment of Minnesota.

781
00:36:50,520 --> 00:36:53,840
Speaker 2: No, no, I hate to disappoint you. I hate to

782
00:36:53,880 --> 00:36:54,880
Speaker 2: disappoint you.

783
00:36:54,920 --> 00:36:58,080
Speaker 3: Now we're still obviously we're we corrected a little bit

784
00:36:58,120 --> 00:37:01,719
Speaker 3: of it. We're still staring down a deficit in the

785
00:37:01,800 --> 00:37:04,640
Speaker 3: tails so in four years from now. But at the

786
00:37:04,719 --> 00:37:06,600
Speaker 3: end of the day, we have I think that we're

787
00:37:06,600 --> 00:37:09,160
Speaker 3: gonna have another budget forecast, but we have essentially two

788
00:37:09,239 --> 00:37:12,480
Speaker 3: point five billion dollars of kind of surplus for just

789
00:37:12,640 --> 00:37:15,359
Speaker 3: this year. Democrats are going to want to spend all

790
00:37:15,400 --> 00:37:18,000
Speaker 3: that money. We're gonna want to say, hey, can we

791
00:37:18,680 --> 00:37:20,879
Speaker 3: not spend that money? Can we cut some taxes here

792
00:37:20,920 --> 00:37:22,919
Speaker 3: and there? But at the end of the day, we're

793
00:37:22,920 --> 00:37:25,920
Speaker 3: still at a fifty to fifty split. You know Senate

794
00:37:25,960 --> 00:37:28,880
Speaker 3: that Democrats have a one seat majority, and everything is

795
00:37:29,000 --> 00:37:31,440
Speaker 3: being played for this next election, So you're not gonna

796
00:37:31,440 --> 00:37:34,919
Speaker 3: see hopefully you're not gonna see anything. Hopefully we don't

797
00:37:34,920 --> 00:37:39,239
Speaker 3: screw anything up because we just don't get anything you know,

798
00:37:39,840 --> 00:37:44,560
Speaker 3: controversial done. And that's what I can say about it.

799
00:37:44,880 --> 00:37:47,120
Speaker 3: We'll see what happens. I think Democrats are really angry

800
00:37:47,200 --> 00:37:50,359
Speaker 3: right now, and you check check each box of what

801
00:37:50,400 --> 00:37:53,400
Speaker 3: can make for a session where nothing really happens, and

802
00:37:53,440 --> 00:37:54,440
Speaker 3: that would be this session.

803
00:37:54,480 --> 00:37:56,320
Speaker 2: I don't think there's gonna be much in play.

804
00:37:56,520 --> 00:37:59,160
Speaker 4: And here's the thing. I think I've said this for

805
00:37:59,200 --> 00:38:01,680
Speaker 4: a long time. It's fun to try and like dunk

806
00:38:01,719 --> 00:38:04,680
Speaker 4: on the liberals and like whatever right like own the Libs.

807
00:38:05,040 --> 00:38:08,040
Speaker 4: But I've said this that the DFL they are a

808
00:38:08,320 --> 00:38:11,800
Speaker 4: relatively highly sophisticated operation where they do a lot of

809
00:38:11,840 --> 00:38:15,320
Speaker 4: strategic you know, planning of how they're going to present

810
00:38:15,360 --> 00:38:17,640
Speaker 4: certain things. And I think that the caucus that just

811
00:38:17,680 --> 00:38:20,640
Speaker 4: occurred earlier this week is a prime example. They have

812
00:38:20,719 --> 00:38:23,319
Speaker 4: been keeping all of these caucus results close to the

813
00:38:23,360 --> 00:38:26,440
Speaker 4: vest because the truth is, if they just let this

814
00:38:26,520 --> 00:38:29,759
Speaker 4: thing run wild in Minnesota. And when I say this thing,

815
00:38:29,800 --> 00:38:33,880
Speaker 4: I'm saying allow the far Marxist lefts to overtly just

816
00:38:33,960 --> 00:38:36,319
Speaker 4: grab the reins of power. What they do is they

817
00:38:36,360 --> 00:38:38,040
Speaker 4: play this game where they allow them to kind of

818
00:38:38,040 --> 00:38:40,520
Speaker 4: have their little sandbox to play in, and when it

819
00:38:40,560 --> 00:38:43,440
Speaker 4: makes strategic sense. They bring them out of the sandbox

820
00:38:43,480 --> 00:38:45,800
Speaker 4: and say, Okay, you guys can go and show us everything.

821
00:38:46,120 --> 00:38:47,840
Speaker 4: And then when they feel that the pressure and the

822
00:38:47,840 --> 00:38:49,840
Speaker 4: heat is on them, then they put them back in

823
00:38:49,840 --> 00:38:52,000
Speaker 4: the sandbox and they kind of go along. And so

824
00:38:52,360 --> 00:38:56,440
Speaker 4: there's a large percentage of voters in the DFL base

825
00:38:57,000 --> 00:39:01,000
Speaker 4: that voted uncommitted to with Amy globishar like. So, I

826
00:39:01,080 --> 00:39:04,160
Speaker 4: think you're gonna see in this session they're gonna be like, listen,

827
00:39:04,440 --> 00:39:06,759
Speaker 4: we have to tamper these things down because we have

828
00:39:06,840 --> 00:39:10,719
Speaker 4: a perfect tie. If we go too reckless, they're gonna

829
00:39:10,719 --> 00:39:12,640
Speaker 4: flip one or two seats and we will literally be

830
00:39:12,719 --> 00:39:14,080
Speaker 4: in the minority and we will not be able to

831
00:39:14,080 --> 00:39:17,560
Speaker 4: stop anything. And so I think that's probably what you're

832
00:39:17,600 --> 00:39:20,560
Speaker 4: going to see is some of this strategicy take place

833
00:39:20,840 --> 00:39:21,919
Speaker 4: from the DFL.

834
00:39:22,120 --> 00:39:23,560
Speaker 2: But as I always say, too.

835
00:39:23,480 --> 00:39:27,440
Speaker 4: There's a caveat These wild leftists in the DFL sometimes

836
00:39:27,520 --> 00:39:29,920
Speaker 4: just say I don't care and they just go buck wild.

837
00:39:29,960 --> 00:39:31,759
Speaker 1: Yeah, it's gonna be it's gonna be fun to watch.

838
00:39:31,800 --> 00:39:34,480
Speaker 1: We'll certainly be covering it here on Twin Cities News Talk.

839
00:39:34,520 --> 00:39:36,280
Speaker 1: Thank you to all the guests this morning. On another

840
00:39:36,640 --> 00:39:40,200
Speaker 1: Freedom Friday, Grace Keating Center, the American Experiment, anything you'd

841
00:39:40,239 --> 00:39:42,880
Speaker 1: like to promote Before we wrap up today's show.

842
00:39:42,960 --> 00:39:44,440
Speaker 7: I'll just say thank you everyone who came up and

843
00:39:44,440 --> 00:39:46,319
Speaker 7: said hi to me and Catherine Johnson last night at

844
00:39:46,320 --> 00:39:48,480
Speaker 7: the tea party Patriots event up in a nooka. It

845
00:39:48,520 --> 00:39:50,360
Speaker 7: was so fun hearing from you, and same goes to

846
00:39:50,360 --> 00:39:53,040
Speaker 7: everyone I talk to a priesinct Cock this night on Tuesday,

847
00:39:53,239 --> 00:39:56,320
Speaker 7: and as always check out American Experiment podcast and Rationally

848
00:39:56,440 --> 00:39:58,400
Speaker 7: Based podcast every Tuesday and Thursday.

849
00:39:58,920 --> 00:40:01,400
Speaker 1: RNC committing today Cake, thank you as well for coming in.

850
00:40:01,480 --> 00:40:02,000
Speaker 2: Thank you much.

851
00:40:02,040 --> 00:40:04,239
Speaker 4: You can follow me on ex, Instagram and Facebook at

852
00:40:04,239 --> 00:40:06,799
Speaker 4: real Aky Kamara. And tomorrow I'm going to be a

853
00:40:06,840 --> 00:40:11,080
Speaker 4: celebrity judge at the annual Chili Cookop taking place and

854
00:40:11,080 --> 00:40:13,160
Speaker 4: it looks like it's at the Autoplex, so go and

855
00:40:13,239 --> 00:40:16,600
Speaker 4: check that out. Make a donation to the Conservative Pack

856
00:40:17,000 --> 00:40:18,400
Speaker 4: and come try some chili.

857
00:40:19,000 --> 00:40:25,080
Speaker 3: Representative Matt Rymer thinking about starting a knitting company, making

858
00:40:25,120 --> 00:40:25,760
Speaker 3: my own hats.

859
00:40:25,960 --> 00:40:27,959
Speaker 1: You can find me at Costco later on today between

860
00:40:28,000 --> 00:40:30,799
Speaker 1: three thirty and four o'clock just walking.

861
00:40:30,520 --> 00:40:32,280
Speaker 2: Around just wondering.

862
00:40:32,360 --> 00:40:34,359
Speaker 1: Yeah, getting weird slice people like to come say hi

863
00:40:34,400 --> 00:40:35,759
Speaker 1: to me up there. Check out the podcast. If you

864
00:40:35,840 --> 00:40:37,600
Speaker 1: missed today's show, talk to you guys Monday. I have

865
00:40:37,640 --> 00:40:38,359
Speaker 1: a great one bot