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Speaker 1: Now more.

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Speaker 2: Mark Simone on sevent TENR Well, we'll get to the

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Speaker 2: state of the Union space coming up. It's only Wednesday.

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Speaker 2: I don't know about where you are. It's not so

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Speaker 2: great everywhere else, but here in Manhattan the snow is

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Speaker 2: pretty much gone. It's a little bit today, but it's

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Speaker 2: going to be warm for the next few days. That'll

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Speaker 2: get rid of it all. It'll be forty or more

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Speaker 2: through the weekend. That will get rid of it all.

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Speaker 2: So the good news, there's no more snowball fights. Now.

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Speaker 2: This is a downtown snowball fight. It started online. I

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Speaker 2: think it was on TikTok or Instagram or somewhere. But

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Speaker 2: they started organizing this and then hundreds of people, not kids,

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Speaker 2: they looked like grown up people showed up for this

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Speaker 2: snowball fight and it got out of control and there

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Speaker 2: were a couple of hundred of these people throwing snowballs. Now,

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Speaker 2: remember on Monday, this was at the height of the blizzard.

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Speaker 2: It was wet, hard snow. When you make a wet snowball,

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Speaker 2: it's very hard. It ice is up and it was

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Speaker 2: freezing cold. So these are dangerous kind of snowballs, and

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Speaker 2: they were throwing them everywhere. There were a couple of

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Speaker 2: hundred of these kids in the neighbors. People in the

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Speaker 2: neighborhood got very alarmed at this, called nine to one

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Speaker 2: one and cops started to show up, and these crazy

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Speaker 2: lunatics started throwing snowballs at cops and then hitting them.

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Speaker 2: You saw the video cops getting hit in the head,

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Speaker 2: getting hit in the face, and many of these snowballs

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Speaker 2: were pretty hard and icy. It was an ugly thing.

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Speaker 2: The police commissioner right after that put out a text

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Speaker 2: saying a tweet saying that you know, they have a

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Speaker 2: surveillance video, they're going to look, they can identify faces.

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Speaker 2: They're going to start hunting down these people. That that

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Speaker 2: was actually a criminal act. That's assaulting a police officer.

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Speaker 2: It's actually a crime. You'll be arrested now. Then things

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Speaker 2: changed when mayor mom Donnie shows up. Of course, this

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Speaker 2: crazy goofy young college a kid who's never had a job,

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Speaker 2: never worked, never manage anything, never run anything, bleeding heart

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Speaker 2: left kook. So he wants to laugh the whole thing off.

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Speaker 2: Ad they were just kids.

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Speaker 1: I can just tell you from the video I saw

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Speaker 1: it looked like kids at a snowball fight.

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Speaker 2: Yeah, look at the video. I don't see any kids

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Speaker 2: in the video. They don't look like kids. They're not children,

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Speaker 2: they're grown up, they're adults.

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Speaker 1: From the videos that I've seen, it looks like a

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Speaker 1: snowball fight. I think that there were two officers who

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Speaker 1: were facing lacerations on their.

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Speaker 3: Face of those who builted them.

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Speaker 1: Look, I've seen the videos of this snowball fight. I

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Speaker 1: think that it was a snowball fight all right.

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Speaker 2: Now, of course he's being a complete idiot. He's so

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Speaker 2: blinded by his left wing nonsense. Now, if those were

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Speaker 2: Muslims protesting something and they were getting hit in the

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Speaker 2: face with snowballs, would it just be kids? Eh, just

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Speaker 2: a snowball fight. If we're emom's being hit. If it

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Speaker 2: were those crazy left wing ice protesters, if they were

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Speaker 2: getting hit in the face with these snowballs by adult males,

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Speaker 2: would it be just a snowball fight? Of course not.

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Speaker 2: Police commissioner is right, The head of the PBA is right.

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Speaker 2: It's criminal. It's a crime. These guys need to be

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Speaker 2: tracked down, arrested. They've identified some fate. They've got some

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Speaker 2: pretty good pictures of some of the faces. You can

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Speaker 2: see them online or on TV. But is it a crime?

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Speaker 1: Yeah, I don't. From the videos that I've seen, it

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Speaker 1: looks like a snowball fight.

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Speaker 2: Yeah, No, it's a crime. It's criminal. It's not a

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Speaker 2: snowball fight. First of all, the police didn't have any snowballs.

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Speaker 2: A snowball fight means two people thrown at each other.

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Speaker 2: The police did not have snowballs. They were not in

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Speaker 2: the snowball fight. They were trying to keep order. And

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Speaker 2: if you watch the videos, boy, you got to give

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Speaker 2: these cops real credit amazing self control not to react

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Speaker 2: to that. It was pretty intense to getting hit with

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Speaker 2: these snowballs and they did not react. But it was

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Speaker 2: not a snowball fight. But any stretch of the imagination,

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Speaker 2: can you.

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Speaker 1: Agree with Commissioner Tish that what happened in Washington Square

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Speaker 1: Park with these snowballs was criminal? And how can you

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Speaker 1: take steps to potentially like this doesn't happen again. So

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Speaker 1: I've seen videos of kids drowing snowballs at members of

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Speaker 1: the NYPD in Washington Square Park, And first I want

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Speaker 1: to say that officers have been on the front line

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Speaker 1: of helping our city respond to this blizzard. They have

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Speaker 1: been keeping New Yorker safe and they have also been

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Speaker 1: at the heart of our efforts of digging New Yorker's

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Speaker 1: cars out of these kinds of conditions and ensuring that

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Speaker 1: our ambulances, our MTA buses can keep functioning across this city.

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Speaker 1: They and our entire city workforce deserve to be treated

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Speaker 1: with respect. The only person in our city's workforce who

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Speaker 1: deserves to be treated with a snowball is me.

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Speaker 2: Okay, so now he's trying to cover his ass there,

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Speaker 2: but he's heading down a very bad path here. He's

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Speaker 2: going to end up like Deblasio. You remember Deblasio with

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Speaker 2: his bad attitude towards the cops. It got to the

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Speaker 2: point when that big public event, all the cops who

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Speaker 2: had been lined to turn their back on him. You

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Speaker 2: don't want to get into that kind of stuff. You

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Speaker 2: don't want to end up like that. And this guy's

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Speaker 2: probably smarter than Deblasio. The problem is that it's in

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Speaker 2: an academic kind of way, so he doesn't have any

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Speaker 2: real world experience or management experience. But President mentioning him

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Speaker 2: last night in the speech, said, you know, he's a

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Speaker 2: nice guy. He's a nice guy. Bad policies, but he's

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Speaker 2: a nice guy. And the President mentioning in the speech

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Speaker 2: he does talk to him regularly, so he keeps talking

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Speaker 2: to him. Now, why keep saying he's a nice Well,

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Speaker 2: sometimes people are nice. Guy. Sometimes these horrible people you

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Speaker 2: see on TV in real life, they're nice people, but

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Speaker 2: they're bad at their jobs. They really stink. I think

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Speaker 2: the President thinks by keeping the conversation going with this

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Speaker 2: guy that at some point he'll be able to have

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Speaker 2: some influence on him. He's not going to turn him

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Speaker 2: into a normal person, but at some point he may

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Speaker 2: be able to get him in a back off on something.

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Speaker 2: So I think he just sees some hope for helping

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Speaker 2: this guy straightening me out, just to hair at some

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Speaker 2: point he also Mom Donnie and AOC, these two nut jobs,

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Speaker 2: these two left wing koos, did an ad which they

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Speaker 2: posted its video. It's the most cringey thing in the world.

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Speaker 2: It's basically telling illegals to sign up for illegals to

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Speaker 2: sign up for daycare that taxpayers will pay for. They're

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Speaker 2: getting a lot of flak for that, but hey, this

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Speaker 2: is New York. You got enough crazy lunatics of elect

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Speaker 2: people like AOC, people like this guy. State of the

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Speaker 2: Union speech last night went very very well. If you

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Speaker 2: don't believe me, put on MSNBC. Watch how angry they're

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Speaker 2: there get and they're so angry about the speech. They're

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Speaker 2: yelling and screaming and Morning Joe ranting and raving. Now,

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Speaker 2: as soon as the presidents don't want these speeches, the

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Speaker 2: fact checkers go to work and try to destroy him

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Speaker 2: with the fact check. They were unable to find much

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Speaker 2: of anything. Now, if you go to the real partisan,

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Speaker 2: left wing kook sites like Mediaite, you know, they just

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Speaker 2: always say crazy things. It says CNN's fact checker, blistering

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Speaker 2: fact check on Trump's speech, fifteen false claim, fifteen lies,

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Speaker 2: a blistering fact. Well, let's go see what the blistering

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Speaker 2: fact they really found. Nothing. He said he inherited a

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Speaker 2: stagnant economy. But inflation was already coming down under Biden. Yeah,

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Speaker 2: but it's very misleading. Inflation is lower under Trump, much

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Speaker 2: lower than under Biden. Biden had. The reason it was

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Speaker 2: coming down was Biden was always had high inflation. At

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Speaker 2: one point it went so high it went like through

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Speaker 2: the roof to nine percent, highest in our lifetime, So

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Speaker 2: you can't stay at that. It came down from nine

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Speaker 2: percent to like six percent if it was still bad.

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Speaker 2: It's so that fact check is just ridiculous. Now, one point,

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Speaker 2: he claimed that there's plenty of states where gas is

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Speaker 2: two dollars and thirty cents a gallon and in some

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Speaker 2: places a dollar ninety nine a gallon. Well the fact checkers, oh,

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Speaker 2: this is a total lie. Well it's not a total lie.

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Speaker 2: It's absolutely correct. How does the fact checker try to

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Speaker 2: claim it's a lie. Well, he says he checked with

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Speaker 2: the true and there's no state where the average is

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Speaker 2: a dollar ninety nine. Well he didn't say the average.

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Speaker 2: Now for instance here, so somebody went into Oklahoma and

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Speaker 2: found four gas stations that had a gas at a

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Speaker 2: dollar ninety nine, So the present was correct. The fact

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Speaker 2: checker really trying to stretch things. That's the one that

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Speaker 2: drives people nuts, because that's the thing that we're yelling about.

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Speaker 2: Gas prices. You know, it's four dollars a gallon, four

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Speaker 2: point fifty five dollars a gallon. Six dollars a gallon

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Speaker 2: in California. Still is you know, everywhere you go all

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Speaker 2: over America, gas is about two dollars and thirty cents.

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Speaker 2: If you're here in New York, it's still like four dollars.

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Speaker 2: If you're in Connecticut Westchester, maybe it's three foot. Why

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Speaker 2: is it so high when it's dropped dramatically, it's down

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Speaker 2: to two dollars and thirty cents everywhere else, it's because

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Speaker 2: of New York. They won't let it drop. They every

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Speaker 2: time it's going to drop, they put more state tax

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Speaker 2: on it. So when you see this continued high price

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Speaker 2: of gas, it's all state tax. They kept the price

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Speaker 2: high by state tax. Same thing in California. You know,

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Speaker 2: it's still five six dollars a gallon. It should be

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Speaker 2: two dollars and thirty cents like everywhere else, but the

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Speaker 2: state keeps piling taxes on. So no fact checker is

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Speaker 2: yet to find any real, actual false claim in the

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Speaker 2: president's speech. Hey, in fact, we could fact check the media.

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Speaker 2: They got a lot of things wrong. David Muir and

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Speaker 2: Jonathan Carl ABC News, the President is you know, the

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Speaker 2: first five ten minutes is the President coming down the aisle,

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Speaker 2: shaking hands, taking selfies, people greeting him. And at one

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Speaker 2: point he got to the Supreme Court justices and David

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Speaker 2: Muir and Jonathan Carl to fake news guys, especially Carl said, look,

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Speaker 2: at that he refused to shake hands with Amy coney Barrett.

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Speaker 2: He shook hands with Kavanaugh, but not with Amy coney Barrett,

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Speaker 2: who voted against him. Well, they got that wrong. He

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Speaker 2: did shake hands with Amy coney Barrett. Now I'll give

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Speaker 2: them a little pass on this, because there was a

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Speaker 2: woman that walked down the aisle with President Trump. She

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Speaker 2: was some kind of aid coming down the aisle with him,

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Speaker 2: like escorting him. She looks exactly like Amy coney Barrett.

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Speaker 2: So if you were looking fast, you see him shake

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Speaker 2: Kabanough's hand and the woman is standing there, and he

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Speaker 2: doesn't shake her hand. But the woman is with him,

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Speaker 2: he wouldn't shake her hand, So it was an honest mistake,

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Speaker 2: probably because she does. It's unbelievable the resemblance there. So hey,

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Speaker 2: you know what's interesting the South Street Seaport. You ever

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Speaker 2: been there? I see most people haven't been there for

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Speaker 2: like thirty forty years. They've been trying to get the

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Speaker 2: South Street Seaport going. Here in Manhattan, you know, the

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Speaker 2: meatpacking district was a dangerous, isolated, terrible place. And then

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Speaker 2: the great Irwin Cohen, the great New York legendary builder,

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Speaker 2: built the Chelsea Market and it started to really take off,

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Speaker 2: and then the whole everything took off around it, and

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Speaker 2: that created the Meatpacking District and to this day it's

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Speaker 2: one of the hottest places in manhatt Go down to

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Speaker 2: the Meatpacking didition was a million great restaurants, hotels, stores,

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Speaker 2: great stores and everything is there. Everything in the Chelsea Market,

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Speaker 2: the whole first floors like an enormous food court. Millions

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Speaker 2: of people down there go down to Tribeca. It's been

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Speaker 2: in So they've been trying to do this with the

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Speaker 2: South Street Seaport for about forty years now years ago.

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Speaker 2: Remember it was a late eighties early nineties Dinkins administration.

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Speaker 2: They're trying to really get the South Street Seaport to

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Speaker 2: take off. Remember Carolines was a big comedy club downtown

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Speaker 2: and they got her to close and moved to the big, big,

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Speaker 2: big comedy club at South Street Seaport and she opened

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Speaker 2: there and other stuff. I loved restaurants open there. There

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Speaker 2: was Roeblings. There was all these great restaurants South Street Seaport,

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Speaker 2: and one by one they all went out of business

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Speaker 2: because nobody wanted to go down there. And Carolines closed

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Speaker 2: and moved the Times Square where it flourished, so it

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Speaker 2: never worked that South Street seaport. So about it was

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Speaker 2: it five years ago. They decided to get it going

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Speaker 2: again and they built with the tin building and they

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Speaker 2: go all these top restaurants and they got John George

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Speaker 2: to come down there and open the most incredible food

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Speaker 2: hall ever and an amazing restaurant. Yeah it was twenty

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Speaker 2: twenty two. Was that four years ago? And it was

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Speaker 2: ten years in the making, big real estate guys, that

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Speaker 2: we'll get this South three seaport going again. Ten years

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Speaker 2: they worked on this, poured hundreds of millions of dollars

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Speaker 2: into this, even though John John George deal was for

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Speaker 2: two hundred million. So he opened it was going to

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Speaker 2: be like Italy or the Chelsea Marty opened this incredible

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Speaker 2: food hall, restaurants, unbelievable, luxurious, beautiful, unbelievable. Well it all

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Speaker 2: closed last week. It all closed down. It's gone, it's closed.

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Speaker 2: They couldn't get it going again. Just total lack of

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Speaker 2: foot traffic. People blamed the ice relatively remote location along

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Speaker 2: the East River. It's too far away from anybody commuting.

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Speaker 2: It's not convenient to any subways. Anything you think about

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Speaker 2: the Chelsea market, there's like twelve subways that go right there.

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Speaker 2: It's easy to get to. It's right next to the village,

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Speaker 2: it's right next to the so soho. Try back South

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Speaker 2: Street te boards like the middle of nowhere. They cannot

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Speaker 2: get it going. It was kind of the same with

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Speaker 2: Hudson Yards, although Hudson Yards is different. Hudson Yards has

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Speaker 2: a lot of apartment buildings an office building, so you

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Speaker 2: got a bunch of people that are there anyway, and

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Speaker 2: it's not that isolated. It's like a few blocks from

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Speaker 2: Penn Station. But South Street Seaport. I don't know what

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Speaker 2: they're going to ever do at that place. Hey, Martin Short,

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Speaker 2: this is just terrible. Another great tragedy in Hollywood. Martin Short,

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Speaker 2: his daughter Catherine killed herself. She was only forty. They

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Speaker 2: just had a big birthday party for big splashy birthday

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Speaker 2: party at a restaurant with Goldie Hawn was there, Katherine O'Hara,

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Speaker 2: Joni Mitchell. That was the idol. Joni Mitchell even named

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Speaker 2: her dog after Joni Mitchell. Fortieth birthday party and his daughter,

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Speaker 2: Katherine was a social worker and then went later to

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Speaker 2: her apartment committed suicide. TMZ reported she was found dead

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Speaker 2: with a self inflicted gunshot wound. It's just horrible, Martin Short,

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Speaker 2: you know. And Martin Short, he's been through a lot

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Speaker 2: of death. His former wife died, his brother died, his

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Speaker 2: parents died, and now this. Now they say that the

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Speaker 2: daughter was suffering from some sort of mental illness and

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Speaker 2: had problems all along. So we'll see what he says.

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Speaker 2: He hasn't really commented yet. Hey, an American Airlines plane

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Speaker 2: lands in Miami. It had been in Colombia, in South

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Speaker 2: South America, Columbia. It lands in Miami. You know, when

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Speaker 2: a plane lands, they do a quick inspection, you see

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Speaker 2: what mostly to clean the planet. But it lands from Colombia.

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Speaker 2: During the inspection, they find a number of bullet holes.

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Speaker 2: Bullet holes in the plane from Columbia. Now, if you

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Speaker 2: hit the right stuff, in fact, it hit the right

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Speaker 2: aleron whichever that is, which helps control the balance of

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Speaker 2: the plane, it can cause a crash if well. Luckily,

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Speaker 2: with all these bullet holes it didn't and the plane

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Speaker 2: was able to land. Okay, hey, we'll take some calls. Next.

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Speaker 2: Eight hundred three to two one zero seven ten is

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Speaker 2: the number eight hundred three two one zero seven ten

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Speaker 2: seven ten wrs Mark Simon, Hey, let's take some calls.

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Speaker 2: Eight hundred three two one zero seven ten is the number.

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Speaker 2: Let's go to Fred in Florida. Fred, how are you doing.

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Speaker 4: I'm doing fine now, Mark. Yeah, just like the comments

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Speaker 4: and all these Democrats that didn't stand up last night

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Speaker 4: because they're criminals, and they need criminals because they're criminals,

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Speaker 4: and that they don't want to vote or any then.

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Speaker 2: I mean maybe a lean elon Omar might be a criminal,

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Speaker 2: but then criminals they're just nuts.

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Speaker 4: I mean no, they're waiting for something to wind these

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Speaker 4: people up, and they want to get them going and

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Speaker 4: actually put the midterms, and they need these people.

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Speaker 2: Here who yeh, no, but they're not criminals. They're and

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Speaker 2: you should make fun of the sick. They're sick. They

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Speaker 2: have a disease Trump to arrangement syndrome. It's affecting them.

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Speaker 2: They don't realize how many traps were set for them.

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Speaker 2: They fell right into each one of them. The whole

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Speaker 2: real purpose of that speech last night was to get

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Speaker 2: video for midterm campaign ads of Democrats acting crazy at

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Speaker 2: the state of the Union. And they've come away with

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Speaker 2: tons of videos. You'll be seeing these moments in ads

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Speaker 2: all over the place in the fall. Let's go to

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Speaker 2: Randall in Maryland. Randall, how you doing.

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Speaker 3: I'm good, march Well. Who throws snowballs at cops gets

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Speaker 3: away with it?

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Speaker 5: Yeah?

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Speaker 2: Nobody does you know when remember when you were a

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Speaker 2: kid and you throw snowballs at cars coming by, and

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Speaker 2: all of a sudden the cops showed up and you

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Speaker 2: were in big trouble. Would you ever think that throw

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Speaker 2: the snowball at the cop.

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Speaker 3: I've lived in me George stations in the States. No

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Speaker 3: long jest away with that.

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Speaker 2: No, you shouldn't get away with it. I mean, listen,

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Speaker 2: we're in the crazy left wing Kooki Mamdani world. Things

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Speaker 2: are different now. If the good old days and you

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Speaker 2: threw snowballs at cops, I just openly hit him with snowballs,

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Speaker 2: you would the cops would give you what Curtis would

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Speaker 2: call a wooden shampoo, the night sticks would come out,

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Speaker 2: and you'd learned not to throw snowballs at cops. Let's

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Speaker 2: go to Jim in New Jersey. Jim, how you doing him?

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Speaker 6: Mark?

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Speaker 7: Mark? You were talking yesterday about consequential presidents being assassinated.

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Speaker 7: Did you know that one of our assassinated presidents died

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Speaker 7: at the Jersey Shore. I mean, he wasn't on vacation,

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Speaker 7: but he died at the Jersey Shore.

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Speaker 2: No, who was that.

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Speaker 7: James Garfield? He was shot in the.

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Speaker 2: Old James Garfield.

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Speaker 7: He was shot in the old railroad station in d C.

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Speaker 7: And he suffered for three in Washington with horrible medical care.

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Speaker 7: So they built him a special train and he took

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Speaker 7: him to Elberon, New Jersey, at the Jersey Shore, where

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Speaker 7: he eventually died.

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Speaker 2: Okay, but back then, you're talking about a million years ago,

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Speaker 2: there was no Jersey. It wasn't the same Jersey Shore.

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Speaker 2: There weren't a million.

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Speaker 7: Uh, there was no It was near Red Bank, Elberon.

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Speaker 7: Ok That was no base theater back then, Mark one,

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Speaker 7: more than speaking of the Jersey Shore. That you know

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Speaker 7: that Ulysses S. Grant was born in Point Pleasant.

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Speaker 2: No, I didn't know that. Ohio. Oh all right, yeah,

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Speaker 2: Bank March. All right, thanks for calling. We've never had

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Speaker 2: a Jersey Have we ever had a New Jersey present? Yeah,

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Speaker 2: I'm sure we have. I can't remember who, but I'm

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Speaker 2: sure we have. Let's go to Bruce in Franklin. Bruce,

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Speaker 2: how you doing? All right, Let's go to Vincent in Brooklyn. Vincent,

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Speaker 2: how you doing.

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Speaker 5: Good morning, Mark, Mark, I'm okay, Good morning Rich, Good

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Speaker 5: morning Mara. Back in the day, had you even deigned

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Speaker 5: to throw a snowball out of the top, cop would

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Speaker 5: have got out of the car, and as you pointed out,

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Speaker 5: as Kurtas said, you would have got a wooden shampoo

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Speaker 5: on your legs, on your head, everywhere. Mark, Abigail Spamberg

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Speaker 5: is probably the worst person they could have chose to

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Speaker 5: do the rebuttal to Trump's speech. She as soon as

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Speaker 5: she got an office, she ran as a moderate. Soon

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Speaker 5: as she got an office. As we say in Italy

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Speaker 5: the Chinese and China, if it walks, they eat it

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Speaker 5: with her. If it doesn't walk, if it's dead, she'll

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Speaker 5: tax it. She wants to tax car work, auto mechanic words,

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Speaker 5: the dog walkers.

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Speaker 6: She wants the.

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Speaker 5: Guy taxed, nail salons, gyms, everything.

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Speaker 6: Mark.

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Speaker 5: I've been in the real estate business for a long

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Speaker 5: time and during the I've had some even famous Hollywood

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Speaker 5: editors living my yeah no square business.

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Speaker 6: Mark.

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Speaker 5: I'm not gonna drop any names, but one guy in particular.

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Speaker 5: I mean, I've.

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Speaker 6: Members like ilain Omar and Tahleeb and AOC. It seems

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Speaker 6: like the group, the liberal group from like twenty five

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Speaker 6: to forty, they're completely out of their birds. The old liberals,

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Speaker 6: like in their seventies. They're probably too decrepit.

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Speaker 2: You're right, Liberals used to be a good thing. Daniel

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Speaker 2: Patrick moynihan, Bill Clinton, common sense. Okay, liberals, that's different exactly.

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Speaker 5: It seems like these people are totally out of their bird.

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Speaker 5: I mean even look look at all the people that

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Speaker 5: protested New York. Look Mandam, he's a perfect example. He's

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Speaker 5: the he's the spawn of this liberal society.

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Speaker 2: Yeah. No, it started with the universities decades ago. They

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Speaker 2: became left wing cook and document and doctrination centers, and

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Speaker 2: you end up with AOC's and mom Donnie's coming out.

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Speaker 2: I can't who knows what's coming next. I can't even imagine, Vincent,

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Speaker 2: great call, thanks for calling. Well, usually it turns around,

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Speaker 2: usually goes in cycles. This has been one very long

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Speaker 2: cycle here here. Well we'll ask we'll ask Ann Coulter next,

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Speaker 2: and we'll find out what she thought of the State

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Speaker 2: of Union speech. And a whole lot more to get

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Speaker 2: too coming up right after the news On seven to ten, wor.

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Speaker 6: Mark Simone on sevent ten wor.

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Speaker 2: Well it is right now the best selling author that

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Speaker 2: a great columnist and culter. Make sure you're following her

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Speaker 2: on Twitter even better, Substack where she's got her column

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Speaker 2: and videos, podcasts, interviews, all kinds of stuff and culter

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Speaker 2: dot substack dot com and culture.

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Speaker 6: How you doing fantastic?

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Speaker 8: How are you mark someone excellent?

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Speaker 2: I thought the President's speech last night was maybe one

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Speaker 2: of the top three or four speed ever given.

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Speaker 8: I totally agree it was magnificent. Again, but Trump I've

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Speaker 8: been waiting for, and it reminded me what I like

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Speaker 8: about him. He is just so thoroughly from the heart American.

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Speaker 8: And when the Democrats would not would not acknowledge Americans

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Speaker 8: killed by illegal aliens and a few other times, and

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Speaker 8: he just said, these people are crazy, and you won't

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Speaker 8: stand for that. It is the reaction of just a

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Speaker 8: normal human being, a normal American. Anyway, It really illustrates

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Speaker 8: that that they, the Democrats, really hate our country.

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Speaker 2: You're talking about this moment here.

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Speaker 1: Nobody says, up, these people are crazy.

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Speaker 2: Now, you're not supposed to talk like that when you're

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Speaker 2: a president. But you're right. It's great. He's a real person.

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Speaker 2: He's not a politician.

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Speaker 8: Yes, And I think you're not supposed to root for

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Speaker 8: Americans to be killed by foreign earth when you're an

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Speaker 8: elected member of Congress, as long as we're talking about

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Speaker 8: things you shouldn't do.

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Speaker 2: Now, a lot of this what he did, were traps

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Speaker 2: that he was setting for the Democrats, and they've from

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Speaker 2: last night it wasn't The real purpose of speech was

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Speaker 2: to get tons of video clips to use in campaign

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Speaker 2: ads against them in the midterms. How why did they

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Speaker 2: fall into every trap?

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Speaker 7: He said?

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Speaker 8: Uh, if it was a trap, I mean, it just

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Speaker 8: seems like those are Trump's positions. It didn't seem phony

429
00:23:38,320 --> 00:23:42,440
Speaker 8: to me. He keeps pushing for a really hit immigration hard,

430
00:23:42,480 --> 00:23:46,280
Speaker 8: which of course was is the reason he was elected

431
00:23:46,320 --> 00:23:51,800
Speaker 8: more than anything else, so that's important. And Democrats are

432
00:23:51,880 --> 00:23:56,919
Speaker 8: on the other side. So I don't even think I

433
00:23:56,960 --> 00:24:00,000
Speaker 8: find it hard to believe that this was like carefully planned.

434
00:24:00,320 --> 00:24:00,679
Speaker 2: It was.

435
00:24:00,760 --> 00:24:04,440
Speaker 8: It was well, everybody knew that this is what he

436
00:24:04,600 --> 00:24:07,800
Speaker 8: ran on, and everybody knew. The Democrats have decided to

437
00:24:07,880 --> 00:24:14,400
Speaker 8: oppose basic common sense on that as well as on transgenders. Don't.

438
00:24:14,440 --> 00:24:16,959
Speaker 8: I don't know why they. I mean, I guess the

439
00:24:17,000 --> 00:24:23,080
Speaker 8: progressive base of the Democratic Party just has them, really

440
00:24:23,400 --> 00:24:26,840
Speaker 8: really has a lot of power. Why would they, whether

441
00:24:26,880 --> 00:24:30,040
Speaker 8: it's in a State of the Union address or on

442
00:24:30,080 --> 00:24:34,359
Speaker 8: the campaign trail or answering questions on TV? Why would

443
00:24:34,400 --> 00:24:38,320
Speaker 8: they not be opposed to Ille Lilian's killing Americans? Why

444
00:24:38,359 --> 00:24:42,240
Speaker 8: would they? Why would they support these mangol A like

445
00:24:42,359 --> 00:24:49,960
Speaker 8: experiments of poisoning and mutilating little little children, teenagers or

446
00:24:50,040 --> 00:24:53,440
Speaker 8: anyone really who's decided they're in the wrong gender.

447
00:24:53,920 --> 00:24:58,280
Speaker 2: Yeah. So, but there's some Democrats who are in that credit.

448
00:24:58,280 --> 00:25:01,000
Speaker 2: They're kind of normal, like Tom swaz See, the congressman

449
00:25:01,000 --> 00:25:03,520
Speaker 2: from Long you think, a common sense normal. But they

450
00:25:03,520 --> 00:25:06,760
Speaker 2: were afraid to stand up. So that was really kind

451
00:25:06,800 --> 00:25:10,439
Speaker 2: of sad. A fetterman afraid to stand up. What do

452
00:25:10,480 --> 00:25:10,720
Speaker 2: you think?

453
00:25:10,760 --> 00:25:13,080
Speaker 8: Well, every time I think one of them is normal,

454
00:25:14,880 --> 00:25:17,920
Speaker 8: they then very quickly disabused me of that. I mean,

455
00:25:18,040 --> 00:25:21,119
Speaker 8: ro Kanna is supposed to be like mister moderate and

456
00:25:21,160 --> 00:25:24,760
Speaker 8: he will not give up on his support for transgenders

457
00:25:24,800 --> 00:25:25,960
Speaker 8: in women's sports.

458
00:25:26,119 --> 00:25:30,320
Speaker 2: Yeah, And the image of elon Omar shouting and screaming

459
00:25:30,359 --> 00:25:32,640
Speaker 2: and pointing her finger and that other nut job next

460
00:25:32,640 --> 00:25:34,520
Speaker 2: to her, We're going to see that in a lot

461
00:25:34,520 --> 00:25:35,720
Speaker 2: of campaign ads. Aren't we.

462
00:25:37,440 --> 00:25:40,679
Speaker 8: I would hope. So, as you know, I'm often complaining

463
00:25:40,720 --> 00:25:45,359
Speaker 8: about the ads Republicans run if they do it right, Yes,

464
00:25:45,400 --> 00:25:47,320
Speaker 8: I agree with you. They got a lot of good

465
00:25:47,320 --> 00:25:49,199
Speaker 8: ones from last night. They should have.

466
00:25:49,680 --> 00:25:51,120
Speaker 2: I know it was a great speech because I don't

467
00:25:51,119 --> 00:25:52,639
Speaker 2: know if you saw a morning show this morning, but

468
00:25:52,720 --> 00:25:56,040
Speaker 2: he was screaming like a maniac and he said it

469
00:25:56,080 --> 00:25:59,679
Speaker 2: was the single most racist speech ever given by any American.

470
00:26:01,080 --> 00:26:04,720
Speaker 8: Oh, that's fantastic. I did not see it. Sadly, I

471
00:26:04,760 --> 00:26:07,600
Speaker 8: was finishing my column last night, so I was up

472
00:26:07,720 --> 00:26:10,960
Speaker 8: kind of late and very disappointed. I missed Morning Joe,

473
00:26:11,080 --> 00:26:14,160
Speaker 8: So thank you for filling me in that you are right.

474
00:26:14,240 --> 00:26:18,399
Speaker 8: That is completely waving the white flag. When they started,

475
00:26:18,760 --> 00:26:22,639
Speaker 8: sured in with the it was racist, Well what was racist?

476
00:26:22,640 --> 00:26:25,359
Speaker 2: And then he said the idea of using the phrase

477
00:26:25,400 --> 00:26:27,760
Speaker 2: Somali pirates, it's the most racist thing.

478
00:26:28,840 --> 00:26:34,119
Speaker 8: But this is like the Wuhan virus. I'm with Trump.

479
00:26:34,240 --> 00:26:35,520
Speaker 8: These people are crazy.

480
00:26:36,800 --> 00:26:39,639
Speaker 2: So but are they crazy or are they just so

481
00:26:39,800 --> 00:26:42,399
Speaker 2: caught up with Trump derangement syndrome that they're just not

482
00:26:42,480 --> 00:26:43,560
Speaker 2: thinking straight right now?

483
00:26:45,000 --> 00:26:47,560
Speaker 8: It seems to be going on and on. I mean,

484
00:26:47,600 --> 00:26:51,040
Speaker 8: it's really hard to distinguish what they actually believe from

485
00:26:51,840 --> 00:26:57,800
Speaker 8: how much they hate Trump. They could have they could

486
00:26:57,880 --> 00:27:01,000
Speaker 8: have maintained at least what they were pretending was their

487
00:27:01,080 --> 00:27:05,679
Speaker 8: position on immigration under Obama and Clinton, and that is,

488
00:27:05,720 --> 00:27:07,399
Speaker 8: we have to have a border and we have to

489
00:27:07,400 --> 00:27:10,920
Speaker 8: deport illegals. I don't know why they couldn't have done that,

490
00:27:11,000 --> 00:27:14,560
Speaker 8: But they seem to have latched onto Trump's most popular

491
00:27:14,640 --> 00:27:17,879
Speaker 8: policies and oppose him on those. I noticed they don't

492
00:27:17,920 --> 00:27:22,160
Speaker 8: particularly oppose him on pointless foreign wars.

493
00:27:23,200 --> 00:27:25,600
Speaker 2: Curious that, Well, there's a lot of contracts.

494
00:27:25,680 --> 00:27:28,200
Speaker 8: We'll pose him on something he deserves being.

495
00:27:27,960 --> 00:27:31,280
Speaker 2: Opposed on, Well, foreign wars. There's a lot of contracts

496
00:27:31,280 --> 00:27:32,960
Speaker 2: to hand out the donors, so they don't want to

497
00:27:32,960 --> 00:27:38,200
Speaker 2: oppose that. A lot of defense contracts to hand out

498
00:27:38,200 --> 00:27:41,880
Speaker 2: on those wars. Hey, but we're talking of this. Before

499
00:27:41,960 --> 00:27:45,800
Speaker 2: there were old fashion liberals that were fine. There was

500
00:27:46,080 --> 00:27:49,840
Speaker 2: Daniel Patrick moynihan and Bill Clinton, I mean, normal liberals.

501
00:27:50,160 --> 00:27:52,720
Speaker 2: What happened to these people are they? Did they just

502
00:27:52,760 --> 00:27:55,760
Speaker 2: become extinct? Yes?

503
00:27:56,040 --> 00:28:00,680
Speaker 8: Well, I mean it's pretty much everything. Our country is

504
00:28:00,720 --> 00:28:05,000
Speaker 8: a function of immigration. We've changed the people there used

505
00:28:05,000 --> 00:28:08,760
Speaker 8: to be normal Democrats, you know, among the voting populace.

506
00:28:08,960 --> 00:28:14,680
Speaker 8: But I mean Democrats couldn't get a majority of white

507
00:28:14,680 --> 00:28:19,119
Speaker 8: people to vote for them other than lbj's blowout in

508
00:28:19,200 --> 00:28:25,000
Speaker 8: sixty four, since the nineteen thirties, well since since FDR.

509
00:28:25,880 --> 00:28:30,040
Speaker 8: So they had to bring in, bring in ringers. Now

510
00:28:30,160 --> 00:28:33,400
Speaker 8: we are a fifty to fifty country, not because Americans

511
00:28:33,480 --> 00:28:36,280
Speaker 8: changed their minds or Democrats' arguments were so oh, they're

512
00:28:36,320 --> 00:28:39,720
Speaker 8: so clever, they persuaded me. No, they brought in people

513
00:28:40,280 --> 00:28:46,160
Speaker 8: from from less free countries who do not believe in

514
00:28:47,120 --> 00:28:51,160
Speaker 8: freedom and free speech and capitalism. And they're the ones

515
00:28:51,560 --> 00:28:56,360
Speaker 8: who who are filling up the Democrats voting lists. Well,

516
00:28:56,400 --> 00:28:58,680
Speaker 8: plus the illegal aliens we aren't supposed.

517
00:28:58,360 --> 00:28:58,800
Speaker 3: To be voting.

518
00:28:59,000 --> 00:29:01,520
Speaker 2: Yeah, even the normal ones. You know, you go back

519
00:29:01,720 --> 00:29:04,240
Speaker 2: ten years, twelve years. Look at the video of the Clintons,

520
00:29:04,280 --> 00:29:06,480
Speaker 2: of Chuck Schumer, of Obama. They're all talking about it.

521
00:29:06,560 --> 00:29:08,640
Speaker 2: We must have a border. We've got to deport illegals.

522
00:29:08,680 --> 00:29:11,480
Speaker 2: And so did they just go nuts.

523
00:29:11,360 --> 00:29:14,400
Speaker 8: Or they got foreigners who came to our country don't

524
00:29:14,440 --> 00:29:18,600
Speaker 8: believe America should have a border. They don't really care

525
00:29:18,800 --> 00:29:21,320
Speaker 8: that much for our country. They certainly don't care for

526
00:29:21,480 --> 00:29:27,200
Speaker 8: our traditions, and they certainly can't grasp capitalism, the free market,

527
00:29:27,560 --> 00:29:30,680
Speaker 8: or free speech. Oh on guns, Oh my gosh. Polls

528
00:29:30,680 --> 00:29:32,920
Speaker 8: have shown this. Incidentally, I've written about this over and

529
00:29:32,960 --> 00:29:36,400
Speaker 8: over and over again. That is why the Democratic Party

530
00:29:36,440 --> 00:29:41,440
Speaker 8: is changing. That is why Virginia flipped from fairly red

531
00:29:41,520 --> 00:29:46,520
Speaker 8: to solid blue. It isn't the government workers, it's the immigrants.

532
00:29:46,760 --> 00:29:50,880
Speaker 2: Yeah, hey, did you see the snowball attack on cops.

533
00:29:50,920 --> 00:29:52,840
Speaker 2: They're getting hit in the face with these snowballs. I'm

534
00:29:52,840 --> 00:29:55,760
Speaker 2: sure you saw that. But mom, Donnie said, they're just

535
00:29:55,760 --> 00:29:57,960
Speaker 2: a bunch of kids. They all look like thirty five

536
00:29:58,040 --> 00:29:59,080
Speaker 2: year old ex convicts.

537
00:29:59,120 --> 00:30:01,880
Speaker 8: I mean they didn't look like it's me and yes,

538
00:30:02,000 --> 00:30:06,640
Speaker 8: and snowballs made of ice, I mean they can blind you,

539
00:30:06,680 --> 00:30:10,120
Speaker 8: they could knock you out. This is this is something

540
00:30:10,160 --> 00:30:14,280
Speaker 8: that's always driven me crazy about the liberals love throwing

541
00:30:14,320 --> 00:30:16,880
Speaker 8: things in people's faces. Things you don't know what they are.

542
00:30:16,960 --> 00:30:20,560
Speaker 8: Anything coming at your face is in fact, it's a

543
00:30:20,600 --> 00:30:23,400
Speaker 8: good technique to use in a fight. Throw something at

544
00:30:23,440 --> 00:30:27,600
Speaker 8: somebody's face. It's it's frightening you don't know what it is.

545
00:30:29,160 --> 00:30:32,000
Speaker 8: And it's always annoyed me that that people will sniff

546
00:30:32,000 --> 00:30:35,680
Speaker 8: at Oh, it was just a marshmallow pie or oh,

547
00:30:35,840 --> 00:30:38,680
Speaker 8: just a milkshake. Yeah, you don't know what's in it.

548
00:30:38,680 --> 00:30:41,920
Speaker 8: It's coming straight at your face. And in this case,

549
00:30:41,960 --> 00:30:46,360
Speaker 8: it's very hot, something very hard and capable of doing

550
00:30:46,480 --> 00:30:49,160
Speaker 8: enormous damage coming at your face. No, this was I

551
00:30:49,200 --> 00:30:52,280
Speaker 8: think a serious assault. I'm with the police union. And

552
00:30:52,320 --> 00:30:55,920
Speaker 8: for Monnami to sniff that it was just a snowball fight,

553
00:30:57,520 --> 00:31:01,200
Speaker 8: I mean, the only response is to is to subject

554
00:31:01,560 --> 00:31:03,760
Speaker 8: mom nommy to just a snowball.

555
00:31:05,200 --> 00:31:07,920
Speaker 2: You know, years ago there was that football game. I

556
00:31:07,960 --> 00:31:10,600
Speaker 2: forget which team, but they decided to throw snowballs at

557
00:31:10,640 --> 00:31:13,560
Speaker 2: the other team, the fans, and they blinded a coach.

558
00:31:13,640 --> 00:31:15,840
Speaker 2: He got hit in the face and was blinded by

559
00:31:15,840 --> 00:31:16,440
Speaker 2: a snowball.

560
00:31:16,520 --> 00:31:19,680
Speaker 8: That's awful, but I'm not at all surprised. Yeah, of

561
00:31:19,720 --> 00:31:23,800
Speaker 8: course you could blind someone and and it's irresponsible and

562
00:31:24,920 --> 00:31:29,360
Speaker 8: sophistry to say just a snowball, just a pie, you

563
00:31:29,360 --> 00:31:31,560
Speaker 8: don't know what's in it. It's something coming at your face.

564
00:31:32,480 --> 00:31:34,880
Speaker 2: Sophistry. I like that word. I'm going to use that today.

565
00:31:34,920 --> 00:31:37,240
Speaker 2: She always has these words where you can sound very smart.

566
00:31:39,880 --> 00:31:41,800
Speaker 2: I'm going to say that to something. Somebody says something

567
00:31:42,360 --> 00:31:44,080
Speaker 2: that's just sophistry.

568
00:31:47,040 --> 00:31:48,520
Speaker 8: It's deceptive logic.

569
00:31:49,200 --> 00:31:50,840
Speaker 2: Just in case, what does sophistry mean?

570
00:31:51,600 --> 00:31:53,440
Speaker 8: It's deceptive logic.

571
00:31:53,640 --> 00:31:57,280
Speaker 2: Oh, okay, I'm using that word today.

572
00:31:57,920 --> 00:32:00,520
Speaker 8: I'm sure there's a better Dictionary death mission of it.

573
00:32:00,560 --> 00:32:03,360
Speaker 2: But no, that's very good, the perfect word. Well, that's

574
00:32:03,360 --> 00:32:05,800
Speaker 2: why you should read and Coulter and get her books

575
00:32:05,800 --> 00:32:08,880
Speaker 2: and make sure you follow her on Twitter, and make

576
00:32:08,920 --> 00:32:12,200
Speaker 2: sure you sign up for her substack. There's great stuff, videos, columns,

577
00:32:12,320 --> 00:32:16,960
Speaker 2: all sorts of stuff and Culter dot substack dot com

578
00:32:17,000 --> 00:32:19,080
Speaker 2: and Culter. Thanks for being with us.

579
00:32:19,320 --> 00:32:21,640
Speaker 8: Good to talk to you. Mark Simon, bye bye, all right,

580
00:32:21,720 --> 00:32:22,120
Speaker 8: take care.

581
00:32:22,400 --> 00:32:25,880
Speaker 2: Oh don't forget Buck and Clay Noon today. Buck has

582
00:32:25,880 --> 00:32:27,600
Speaker 2: a new book out by the way, coming out. We'll

583
00:32:27,600 --> 00:32:29,880
Speaker 2: talk to He'll be with us later this week and

584
00:32:30,120 --> 00:32:33,280
Speaker 2: they'll be talking about the president speech last night at

585
00:32:33,120 --> 00:32:35,360
Speaker 2: a new and then three o'clock the most listened to

586
00:32:35,480 --> 00:32:37,920
Speaker 2: radio show of all Sean Hannity, we'll talk about it.

587
00:32:37,960 --> 00:32:40,520
Speaker 2: And then you got Jesse Kelly at six and Jimmy

588
00:32:40,560 --> 00:32:43,680
Speaker 2: Fayal a great show, very funny nine o'clock tonight on

589
00:32:43,840 --> 00:32:49,719
Speaker 2: seven to ten. Wor in Mark on demand by setting

590
00:32:49,760 --> 00:32:53,000
Speaker 2: up presead for his podcast on the iHeartRadio app.

591
00:32:53,520 --> 00:32:59,120
Speaker 7: Now back to Mark Simon on wor.

592
00:32:57,920 --> 00:33:02,000
Speaker 2: Well, President's speech considered a great, great State of the

593
00:33:02,080 --> 00:33:06,200
Speaker 2: Union speech, very successful. The immediate polling takes place afterwards,

594
00:33:06,240 --> 00:33:10,080
Speaker 2: looks very good. The focus groups where they were the

595
00:33:10,080 --> 00:33:12,280
Speaker 2: good posters, not the fake ones, but the good posters.

596
00:33:12,440 --> 00:33:17,240
Speaker 2: Focus group people showed him getting a spike in independent voters.

597
00:33:17,280 --> 00:33:19,320
Speaker 2: That's the key to winning the midterms. You don't win

598
00:33:19,400 --> 00:33:21,960
Speaker 2: with your base. You only win by whoever gets the

599
00:33:21,960 --> 00:33:24,040
Speaker 2: most of the independent voters. So that's good. Now he's

600
00:33:24,040 --> 00:33:26,200
Speaker 2: going to get a big bump from the speech. Problem

601
00:33:26,320 --> 00:33:28,480
Speaker 2: is sometimes that bump doesn't last too long. You can

602
00:33:28,520 --> 00:33:32,720
Speaker 2: just go a few weeks. But Democrats acted so crazy

603
00:33:32,840 --> 00:33:36,080
Speaker 2: last night, and so you know, the yelling, the screaming,

604
00:33:36,160 --> 00:33:42,200
Speaker 2: the ugly pointing, and the not standing up. So the

605
00:33:42,200 --> 00:33:45,920
Speaker 2: President also ended up with hundreds and hundreds of video

606
00:33:45,920 --> 00:33:49,239
Speaker 2: clips that will be used in campaign ads for the

607
00:33:49,280 --> 00:33:53,080
Speaker 2: midterms to go after Democrats with Hey, it's thirty five

608
00:33:53,120 --> 00:33:55,480
Speaker 2: degrees right now, so the snow is starting to melt.

609
00:33:55,520 --> 00:33:58,080
Speaker 2: It's going to go into the forties today. Looks like

610
00:33:58,120 --> 00:34:01,320
Speaker 2: it'll be in the forties till months day. That should

611
00:34:01,360 --> 00:34:03,040
Speaker 2: get rid of the snow. Now there's a chance of

612
00:34:03,040 --> 00:34:06,720
Speaker 2: snow on Monday, but two three inches maybe if that,

613
00:34:06,840 --> 00:34:09,560
Speaker 2: if that happens, but otherwise the snow will be melting

614
00:34:09,680 --> 00:34:12,359
Speaker 2: every day. Now, Hey, we're out of time. Don't go away.

615
00:34:12,400 --> 00:34:14,560
Speaker 2: Buck and Clay are next. I'll be back tomorrow. I'm

616
00:34:14,600 --> 00:34:18,160
Speaker 2: here every day ten to noon. Thanks for listening, Thanks

617
00:34:18,200 --> 00:34:21,239
Speaker 2: for everything. Talk to you later seven to ten. Woo