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Speaker 1: in my last name, Hannity one eight hundred flowers dot com.

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Speaker 1: Don't forget to click on the radio icon put in

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Speaker 1: my last name, Hannity. This is the Sean Hannity Show podcast. Hey,

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Speaker 1: welcome to the show. It's a Sean Hannity Show. Mark

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Speaker 1: Simone here for Shawn. He's take a little time off.

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Speaker 1: This is that time of year where everybody vanishes, all

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Speaker 1: these hosts go away. I mean, you know, it's a

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Speaker 1: little disappointing, but I'm getting end. Megan Kelly's gone, So

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Speaker 1: this a good side to everything anyway. It's uh, it's

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Speaker 1: we've got a big show for you today. Lots to

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Speaker 1: talk about. We've got lots of great stuff to discuss,

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Speaker 1: and lots of serious stuff. You've got two terrorist attacks

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Speaker 1: in the last twenty four hours, and uh, the President

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Speaker 1: Obama was very upsetting for him. Tea time was delayed

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Speaker 1: almost twenty minutes, but there he was, right back on

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Speaker 1: the golf course. And Donald Trump, of course, our president elect,

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Speaker 1: speaking out immediately referring to it as a radical Islamic terrorism,

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Speaker 1: which is what it is. Uh. ISIS is now officially

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Speaker 1: taking credit for Berlin, issuing a statement not on ago

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Speaker 1: that it was an Isist soldier who carried out the attack.

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Speaker 1: So we'll talk about this, We'll talk about the transition

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Speaker 1: we'll take your calls. Eight hundred nine four one Seawn

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Speaker 1: is the number Donald Trump in Florida. He'll be there

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Speaker 1: till the end of the year. He always does this

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Speaker 1: at the end of the year, always two weeks at

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Speaker 1: Mara Lago. But he's working constantly while he's there. You know,

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Speaker 1: the fascinating thing now that he's the president elect, is

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Speaker 1: watching his worst enemies, the people that hated him the most,

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Speaker 1: that came after him the hardest, suddenly running over to

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Speaker 1: see him and making peace. Last week, it was that

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Speaker 1: little weasel Jeff Bezos, that Amazon billionaire. He bought the

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Speaker 1: Washington Post, not as a business, just personally out of

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Speaker 1: his own pocket, paid for it to use the great

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Speaker 1: legendary Washington Post as a weapon against Donald Trump. He

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Speaker 1: had them run these vicious attack pieces, fake news day

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Speaker 1: and night, attacking Trump. Nobody came after him harder than Bezos. Well,

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Speaker 1: last week they had the big tech meeting up in

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Speaker 1: the conference room at Trump Tower. There was Jeff Bezos.

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Speaker 1: Did you see the video of that. When they went

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Speaker 1: around the room, the biggest guys in the technicstry. They

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Speaker 1: went around the room. Each guy had to introduce himself,

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Speaker 1: so and he said, I'm Tim Cook, I'm the chairman

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Speaker 1: of Apple. Some woman is sitting there, I'm so and

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Speaker 1: so I'm the chairman of Oracle. I mean, it was

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Speaker 1: very impressive. Let me get to this Bezos and he said, Hey,

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Speaker 1: I'm Jeff Bezos. I'm the chairman of Amazon, and I'm

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Speaker 1: really excited to be here today. He actually said that

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Speaker 1: this little worm really excited to be here. What a phony.

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Speaker 1: So last night, guess who flew to Palm Beach, Florida

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Speaker 1: to have dinner with Donald Trump. Carlos Slim. He's the

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Speaker 1: Mexican billionaire who really tried to kill Trump. He bought

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Speaker 1: the he owns the New York Times. It's now a

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Speaker 1: Mexican own newspaper, the New Times, and he had them

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Speaker 1: going after Trump day and night. He was there in Marloga.

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Speaker 1: Last night he had dinner with Donald Trump. Came out

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Speaker 1: of the dinner he said, we really got along. Grade

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Speaker 1: he's a wonderful guy. Now normally this is total phoniness.

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Speaker 1: But and then the reason for all of this, and

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Speaker 1: you've seen this with everybody from Mitt Romney to this,

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Speaker 1: you know this, Barry Diller. He's a big media tycoon.

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Speaker 1: Nobody attacked Trump more. Now he's saying, with a wonderful guy,

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Speaker 1: let's give him a chance. The reason for this is,

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Speaker 1: this is one thing about these billionaires. This is one

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Speaker 1: quality they have, uh And that's one of the reasons

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Speaker 1: they're billionaires. When something bad happens to them, they don't whine,

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Speaker 1: they don't cry. They adapt immediately to the situation and

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Speaker 1: move forward. You you should remember that. It's a good characteristic.

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Speaker 1: You see all these uh, these little snow flakes whining

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Speaker 1: and looking for their safe space, and they need grief counselors.

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Speaker 1: These billionaires, the second it happens, they turn on a time.

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Speaker 1: They adapt immediately, they go make friends. This is one

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Speaker 1: of the secrets of success. I was talking to a guy.

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Speaker 1: He works in one of the biggest law firms in

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Speaker 1: New York, high powered law firm. I mean, you would

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Speaker 1: not want to be up against. This is one of

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Speaker 1: the biggest, toughest law firms. They got a million of

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Speaker 1: the toughest lawyers. He said. They had the big company meeting.

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Speaker 1: The chairman the board got up and one of the

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Speaker 1: lawyers raised their hand and they said, I'm so traumatized

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Speaker 1: by the election. I don't know if I can even

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Speaker 1: work anymore? What is the company gonna do for us?

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Speaker 1: So the other lawyers looking at like like this is crazy.

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Speaker 1: But the next day in this law firm, a safe

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Speaker 1: space room was set up with grief counselors that you

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Speaker 1: could go into. Do you think I'm kidding, I'm not

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Speaker 1: kidding this. You know you read about it in these colleges,

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Speaker 1: all these big colleges that are set up a safe

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Speaker 1: space with me that I'm not kidding. They brought in

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Speaker 1: coloring books, grief counselors to game play though, uh, they

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Speaker 1: brought in special dogs to calm them down. This is

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Speaker 1: now going on in companies all over the place. Oh

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Speaker 1: you know, check this out. It's on my Twitter feed,

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Speaker 1: Mark Simone n Y Twitter. You will never be able

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Speaker 1: to watch this. George Stephanopolis again. You know he's married

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Speaker 1: to Ali Wentworth. You know who she is. She's an actress.

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Speaker 1: Remember the Seinfeld episode with the Soup Nazi and he

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Speaker 1: had that girlfriend, that schmoopy, schmoopy schmoopy girlfriend. Remember that

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Speaker 1: that's her. Okay, she's an actual she's married to George Stephanopolis.

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Speaker 1: This goofball is on the view and she says to

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Speaker 1: the panel, are eleven year old daughter can't sleep at night,

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Speaker 1: she's so frightened of Donald Trump. I swear to God

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Speaker 1: the video I have it on Twitter. At the video

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Speaker 1: is there you. I mean this is parenting while liberal.

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Speaker 1: I mean, no eleven year old has any thoughts about

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Speaker 1: Donald Trump unless you've got too crazy parents who got

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Speaker 1: this kid so frightened? The kid can't sleep at night

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Speaker 1: because of Donald Trump. Now this is the George Stephanopolis

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Speaker 1: and his wife. This tells you something about this family

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Speaker 1: and the things they drill into this poor kid's head. Now,

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Speaker 1: Bill Clinton, yesterday, Bill Clinton out of nowhere start telling

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Speaker 1: a story about how Donald Trump called him a few

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Speaker 1: days ago, and he said, I couldn't believe it. He's

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Speaker 1: called like like it was the nineties. We're all friends,

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Speaker 1: and he just started talking to me about Well, I

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Speaker 1: guess I believe that that is the kind of thing

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Speaker 1: Donald Trump does, tries to make peace everybody. Well, now

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Speaker 1: Trump has issued a statements it was the other way

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Speaker 1: around Bill Clinton called him, and these Clinton's better stop

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Speaker 1: going after Trump. You know. January twenty, he takes office,

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Speaker 1: and somebody's got to decide what to do with the

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Speaker 1: FBI investigation of Hillary Clinton. I don't mean the emails,

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Speaker 1: I mean the Clinton Foundation and all that. That investigation

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Speaker 1: is still going on. So if I were them, I'd

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Speaker 1: stop playing games with Donald Trump. But there he is

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Speaker 1: making up these stories now knowing Bill Clinton. Maybe that's

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Speaker 1: why he called Donald Trump, just to take his temperature

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Speaker 1: a little see where where he stands on all of this.

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Speaker 1: But Trump correcting the lie. That was Bill Clinton that

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Speaker 1: called him, Hey, we'll take some calls. Eight nine four one, Sean.

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Speaker 1: Is there a a liberal out there who can explain

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Speaker 1: this Russian hacking to me? I know it's a great,

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Speaker 1: great concern because you talk to any liberal and if

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Speaker 1: you say that, they start yelling, this is the biggest

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Speaker 1: attack on American democracy, This is the biggest threat. But

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Speaker 1: I always asked him the same question, what was hacked?

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Speaker 1: And they always say the election. You know, election was hacked,

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Speaker 1: But exactly what was hacked? How do you hack an election?

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Speaker 1: But I heard about Podesta's emails, but that, believe me,

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Speaker 1: that didn't effect an election. And Podesta has admitted himself

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Speaker 1: that he got one of those spam phishing emails that

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Speaker 1: said you gotta reset your password. You know, a four

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Speaker 1: year old wouldn't fall for that. But Podesta, you gotta

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Speaker 1: get a seven year old to fall for that. They

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Speaker 1: didn't know any better, and he gave it his password

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Speaker 1: to this thing, and that's how he got hacked. The

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Speaker 1: FBI has looked at the d n C the r

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Speaker 1: n C, and they did show that the d n

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Speaker 1: C servers didn't have a lot of protection. They didn't

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Speaker 1: have much security, so anybody could have gotten in there.

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Speaker 1: So you know, when the CIA tells you there's Russian hacking, hey,

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Speaker 1: and it's not. Seventeen agencies. Seventeen agencies shared the same

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Speaker 1: exact report, which nobody believes. Hey, let me tell you

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Speaker 1: another thing. We know for a fact, hard evidence. Debbie

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Speaker 1: Wasserman Schultz rigged the whole primary process. Her office is

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Speaker 1: four blocks from the c i A. They couldn't detect her,

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Speaker 1: So I don't think they can detect anything and everything.

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Speaker 1: So if there's a liberal out there, explained to me

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Speaker 1: what was hacked, and don't say the election. What was hacked?

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Speaker 1: The machines, uh, people's brain? What was hacked? And where

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Speaker 1: was this hacking that affected anything? They d sean is

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Speaker 1: the number? Where's the Dow right now? Keep an eye

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Speaker 1: on the doubt it could hit twenty thousand. At any point,

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Speaker 1: this will be the all time record. It's at nineteen thousand,

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Speaker 1: and it could hit twenty thousand today, that'll be the

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Speaker 1: all time record. That's the Trump bump. It's up dramatically

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Speaker 1: since the election. Imaginative Hillary, Uh, we're elected. You don't

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Speaker 1: you don't think it would be hitting twenty thousand right now? Uh?

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Speaker 1: All this whining, all this crying. Uh, it's got to stop.

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Speaker 1: Yesterday was the Electoral College. That's it. It's official. Trump

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Speaker 1: is the president elect. You you gotta stop with the

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Speaker 1: whining and crying. Although I don't know, maybe it's good

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Speaker 1: keep talking about the Russian hacking. You look so ridiculous.

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Speaker 1: You know, a normal person doesn't know what the hell

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Speaker 1: you're talking about? What was hacked? Anyway, give us a call.

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Speaker 1: Eight nine f one. Seawan is the number. Who should

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Speaker 1: we go to. Let's go to Philip in Uh Mary

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Speaker 1: out of Georgia, Phillip, How you doing? Welcome to Sean

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Speaker 1: Hannity Show. Oh to sponsor? How you don't good? Um? Yeah,

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Speaker 1: so so you're just talking about, you know, the Russian hacking,

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Speaker 1: and yeah, the media spreading all that and uh, you know,

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Speaker 1: I'm I'm myself. Unfortunately I'm I'm twenty one, so unfortunately

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Speaker 1: I'm in that millennial category. Twenty one. What are you doing?

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Speaker 1: You go to school? Oh, yes, sir, I'm in I'm

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Speaker 1: in college at Savannah State University. Oh my god? And

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Speaker 1: what do you what do you want to be should

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Speaker 1: you grow up? Well, I'm currently in uh Naval RT

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Speaker 1: Seed officer path. Very good. So you are not one

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Speaker 1: of these campus snowflakes, not at all. So you did

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Speaker 1: not have to run to a safe space. You know,

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Speaker 1: I couldn't find one if I wanted to. Not too

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Speaker 1: much of that going on in my school, thankfully. Hey,

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Speaker 1: let me ask you something as a military minded guy,

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Speaker 1: you got all these people growing up, these snow flakes,

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Speaker 1: they have to have coloring books, a safe space. Why not?

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Speaker 1: God forbid we getting a war in ten years that

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Speaker 1: these people are gonna fight it for? Uh, it's it's

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Speaker 1: a it's a dantisano. I mean, what would happen? Every

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Speaker 1: fox will have to have grief counselors and safe spaces.

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Speaker 1: How would we ever get through anything? I just I

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Speaker 1: guess we just have to hope that the enemy would

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Speaker 1: allow us our safe spaces unbelievable. So what do you

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Speaker 1: want to say? I felt I was just wanting to

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Speaker 1: comment on you know, as a millennial, I've noticed I've

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Speaker 1: always been told, you know, be very, be very wary

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Speaker 1: of mainstream news. And I think a lot of that

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Speaker 1: came up during the Bush administration, as I can remember

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Speaker 1: when I was a kid, you know, because there was

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Speaker 1: all kinds of false reports. Did you what he said

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Speaker 1: the Bush administration when he was a kid. Oh my god,

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Speaker 1: and he's talking about forty three when he was a kid.

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Speaker 1: Um so but um but yeah. But it's just crazy

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Speaker 1: to see it a lot of my how how easily

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Speaker 1: my friends, you know, and they'll say the same thing, Oh,

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Speaker 1: you know, I don't watch CNN, don't watch Fox, but

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Speaker 1: don't They'll turn around and they'll go, oh, the the

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Speaker 1: election was hacked, like you were saying, yeah, you know,

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Speaker 1: and they get that from CNN, and it's like, okay, now,

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Speaker 1: actually I think you should watch that. You know. I

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Speaker 1: love to watch MSNBC. That is one of the funniest channels.

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Speaker 1: This Rachel matt Out is hysterical this morning. Joe is

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Speaker 1: absolutely hysterical. Uh. In fact, we'll get it. Remind me

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Speaker 1: to get to Donny Deutsch in a moment. Nobody can

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Speaker 1: figure out what the hell is this guy doing on

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Speaker 1: this show. Doesn't know anything about politics, has nothing to

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Speaker 1: do with any of this conversation. Anyway. We'll take some

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Speaker 1: calls eight nine for one show, and we'll also get

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Speaker 1: to the fake news. You noticed it going after Larry Cudlow.

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Speaker 1: Now that's the new thing. He doesn't have a PhD

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Speaker 1: in economics. This guy was the chief economists for the

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Speaker 1: Reagan administration, for Bear Stearns. The FED used him as

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Speaker 1: their economists. Nobody has a bigger track record as an economist.

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Speaker 1: But he don't have a PhD. And you know, if

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Speaker 1: he did, he'd be Paul Krugman, like a nutty professor

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Speaker 1: who never gets anything right. But we'll take some more

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Speaker 1: calls in a minute. Eight nine one Sean also Lou

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Speaker 1: Dobbs coming up, and culture will be with us. Mark

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Speaker 1: Simone here for Sean Hannity, bite sized show that you

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Speaker 1: can take with you. Sign up today for Hannity headlines,

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Speaker 1: go to Hannity dot com. Hey, welcome back. It's Mark

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Speaker 1: Simone here for Sean Hannity. We got lots to talk about. Oh,

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Speaker 1: one of my favorite stories. You know the inaugural A

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Speaker 1: big inauguration is January. You know our governor here in

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Speaker 1: New York, Andrew Cuomo, big Democrat. Uh, he booked two

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Speaker 1: hundred hotel rooms for the inauguration in Washington, d C. Now,

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Speaker 1: I bet you a couple of weeks ago, everybody was

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Speaker 1: calling him all he's one of the ringleaders of all

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Speaker 1: the Democratic donors everybody. I bet he was telling me,

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Speaker 1: I don't know what. Look, I only got two hundred rooms.

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Speaker 1: A you're gonna have to wait. We gonna have to

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Speaker 1: see who can come. I only got two hundred rooms.

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Speaker 1: Good for him. Now he's stuck with two hundred empty

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Speaker 1: hotel rooms. I don't know what the hell he's gonna

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Speaker 1: do with him. Hey, you you know you want that's

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Speaker 1: a big deal in Washington This inauguration weekend very tough

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Speaker 1: to get a reservation. I guarantee you gotta put down

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Speaker 1: a huge deposit to get a hotel room for the

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Speaker 1: inauguration weekend. That's a big deposit. You want two hundred rooms,

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Speaker 1: I guarantee you that's a monumental deposit that has to

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Speaker 1: be put down. Now, I don't know what happens. I

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Speaker 1: don't know if he gets all that money back. I'm

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Speaker 1: sure it was a fortune just on that deposit. I

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Speaker 1: don't know where it came from. I don't think it's

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Speaker 1: a taxpayer money, but probably a lot of donor money.

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Speaker 1: That is the best. The two best things that happened

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Speaker 1: were him with his two hundred hotel rooms he doesn't

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Speaker 1: know what to do with, and Bowing. You know, you

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Speaker 1: might say, well, if that Boeing bill for the new

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Speaker 1: air Force one, if that was supposed to be uh

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Speaker 1: two billion at the most, why why would they mark

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Speaker 1: it up to four point two billions? Because they absolutely

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Speaker 1: a thousand percent assumed Hillary Clinton would be president. Hillary

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Speaker 1: Clinton and Boeing are very tight. Bowing is one of

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Speaker 1: her biggest contributors. They knew they could mark that bill

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Speaker 1: up to anything and she would sign it. Two billion,

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Speaker 1: make it four you know what, make it four point

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Speaker 1: two billion. They knew she would sign any bill they sent.

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Speaker 1: They never imagined Donald Trump. Boweing never in their life

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Speaker 1: thought they'd end up with a president who has spent

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Speaker 1: his whole adult life buying airplanes and know what knows

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Speaker 1: what things cost. A president that once owned an airline

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Speaker 1: knows exactly what things cost. And two days later, look's

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Speaker 1: uh suddenly up there on the Trump Tower being interviewed

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Speaker 1: Alan mulally. You know you kept hearing he was the

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Speaker 1: president of Ford. Remember he was being interviewed. They forgot

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Speaker 1: to mention former CEO of Boeing. I bet he said, here,

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Speaker 1: take a look at this bill, tell me exactly what's

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Speaker 1: going on here. I bet he could tell him exactly

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Speaker 1: how it got marked up. So not a good day

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Speaker 1: for them. Hey's Mark Simone here for Sean Hannity. Check

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Speaker 1: out my Twitter, Mark Simone n y at Twitter. You

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Speaker 1: know what, I put up a little video tour of

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Speaker 1: the studio. Oh. Also, we got that George Stephanopolis's wife.

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Speaker 1: Did you see that? It's Stephanopolis's wife. Imagine these two

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Speaker 1: wacky parents it She said, our eleven year old can't sleep.

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Speaker 1: She's so frightened of Donald Trump. Can you imagine that?

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Speaker 1: You imagine when you were a kid, you couldn't sleep.

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Speaker 1: I'm so frightened of Bush Senior. I can't sleep. Back

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Speaker 1: in a moment, Hey, welcome back. It's Mark Simone here

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Speaker 1: for Sean Hannity. We got a lot coming up. Lou

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Speaker 1: Dabs will be with us Larry Cudlow will be with us,

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Speaker 1: and culture will be with us. We'll take some calls.

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Speaker 1: Eight hundred nine for one sean is the number. You

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Speaker 1: know what's really annoying the inaugural of a president. It's

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Speaker 1: a wonderful parade, very majestic, traditional inaugural parade. But then

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Speaker 1: at night they have the big gallery. You remember Obama

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Speaker 1: was Stevie Wonder It was a wreath of Franklin. Even

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Speaker 1: you go back to John F. Kennedy, it was Sinatra

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Speaker 1: and every star in the world. Well, Hollywood very liberal. Uh,

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Speaker 1: nobody will come to this inaugural. Uh. And there are

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Speaker 1: there are conservative the music business singers, and but they

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Speaker 1: they're were they're afraid. They're all being threatened. Well, boycott you.

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Speaker 1: Even andre Bocelli, he loves Trump, he said he would

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Speaker 1: do it. Getting threats all over the place. Well, boycott

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Speaker 1: all your concerts. He has to pull out. I love

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Speaker 1: Ted Nugent and kid Rock, but listen, you can't have

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Speaker 1: a heavy metal inaugural. I don't know that, So I

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Speaker 1: don't know what you do here. They're talking about scaling

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Speaker 1: it back. They got the Who's that they got that

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Speaker 1: girl from America's got talent. That's not a star studded show.

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Speaker 1: But somebody called my show this morning. I think this

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Speaker 1: is the idea. You make it. Forget what he announced.

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Speaker 1: No celebrities, no Hollywood anything. We're gonna do an American inaugural.

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Speaker 1: You invite military bands, church choirs. Uh, some of the

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Speaker 1: best singers. You know, you go to these churches in

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Speaker 1: the local places. You can find some amazing talent. You

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Speaker 1: do a show like that there as Uh, there's some

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Speaker 1: of the great military hands. Uh. All right, you know

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Speaker 1: when they play blurred lines with the military band, it

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Speaker 1: doesn't sound great, but it's patriotic. Just do patriotic songs. Anyway,

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Speaker 1: let's take some calls. Let's go to Jeff in Troy, Ohio. Hey, Jeff,

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Speaker 1: how you doing? Welcome to Sean Hannity Show. Hey, how

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Speaker 1: are you doing good? I think the election was rigged,

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Speaker 1: and uh, you're talking about Debbie Wasserman Schultz. Yeah, I

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Speaker 1: think everything was rigged. Was I think the Russians hacked

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Speaker 1: that Hilary should have won. She won the pope alight,

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Speaker 1: all right, but just I'm I don't understand it all.

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Speaker 1: What did the Russians hack? Okay? Actually I'm totally messing

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Speaker 1: with you. I said, we wanted the liberal to explain

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Speaker 1: this hacking, and apparently nobody could explain it. So all

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Speaker 1: we get is you, Mr April fools. Here agencies that

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Speaker 1: supposedly said they were hacked, well looked it up, and

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Speaker 1: I cannot find that on We have seventeen intelligence but

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Speaker 1: there aren't seventeen agencies that looked at this. There's only

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Speaker 1: one CIA report. Seventeen agencies agreed to sign off on it,

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Speaker 1: but it's it's basically just one agency. It's what's his

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Speaker 1: name Brennan, the CIA director who works for Obama, who

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Speaker 1: was told to say this. James Comy, FBI director twice

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Speaker 1: told people there's no evidence of any hacking. Then somehow

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Speaker 1: President Obama got to hold up in the next day.

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Speaker 1: Definitely definitely hacking. We have to wait until January one,

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Speaker 1: when James Comy can finally talk and tell us what

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Speaker 1: the heck was going on? What were they doing to him?

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Speaker 1: You remember twice he was about to go after Hillary

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Speaker 1: and in die her. Both times he had to change

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Speaker 1: his story. So January Coby will finally tell us what

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Speaker 1: the hell was going on in this Obama administration. Anyway,

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Speaker 1: One Shawn Is. The number is the Naked Cowboy, the

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Speaker 1: real one. This is He's a big fixture Landmark in

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Speaker 1: New York. He is actually a naked cowboy plays a

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Speaker 1: guitar in Times Square, big tourist attraction. He's moved to

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Speaker 1: a Trump Tower. I think, Naked Cowboy? Are you there? Yes, sir,

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Speaker 1: I listened to your show every morning. Oh my god,

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Speaker 1: Well where do you keep the radio? Your naked where

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Speaker 1: it's online? Horse? Oh god? Uh? And I thought, did

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Speaker 1: you move to Trump Tower? Absolutely? I've been there almost,

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Speaker 1: you know. I just had the idea to put the

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Speaker 1: Trump on my other way. I called Trump romp and

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Speaker 1: there several months before the election and got on on bandwagon.

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Speaker 1: My father's president pro Tamlor Republican Party in Cincinnatti. He's

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Speaker 1: proud of you. But I've been in Trump Tower a

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Speaker 1: couple of times last few weeks. I haven't seen you

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Speaker 1: out there. Of course, it's thirty degrees every single morning

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Speaker 1: now for almost seventy something days. They left me in

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Speaker 1: an adolability in Mandowere up and down, I mean, made

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Speaker 1: friends with everybody there and just thinking my Trump song

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Speaker 1: and an addle bar, and it's just been a haven

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Speaker 1: of publicity and just you know, on a platform to

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Speaker 1: just support the man. I just love him. I always say, hey,

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Speaker 1: it's like third degrees in New York. How do you

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Speaker 1: do the naked stuff in that kind of weather? Well,

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Speaker 1: like I said, I go to Trump far first. I mean,

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Speaker 1: you know, he just I do it like an hour

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Speaker 1: at a time even the other day in their twenty degrees,

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Speaker 1: like you know, forty minutes two times. And yeah, I

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Speaker 1: go there, and then I go to Time Square in

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Speaker 1: the evening. Okay, I'm never there at Trump tour in

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Speaker 1: the morning. That's why I don't see you. But uh,

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Speaker 1: what's the strangest thing has happened to you? Have millions

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Speaker 1: of tourists come up to you all the time. Well,

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Speaker 1: and last week, two weeks ago, I went in the

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Speaker 1: elevator like a gentleman to friends h Hills Figure Suit

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Speaker 1: Company on the eighteenth floor, and he friended. Then he

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Speaker 1: took me up there to use the restroom up stairs,

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Speaker 1: and I got in in Hike camp, I guess the

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Speaker 1: Nampike camp. The North Dakota Senator walked in right after me,

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Speaker 1: not reeling I was in there, and you know, just

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Speaker 1: again as another world news thing, and just funny. You know.

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Speaker 1: She was tweeting that she liked all cowboys but never

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Speaker 1: saw one like this. Long just good. You know, it's

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Speaker 1: a lot of funny situations like that. All right, naked cowboy,

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Speaker 1: keep up the good work. Thanks for being in with us. Yeah,

420
00:23:01,240 --> 00:23:03,800
Speaker 1: he's actually naked. He's a he's a nice looking guy

421
00:23:03,800 --> 00:23:06,439
Speaker 1: and he wears a cowboy hat otherwise naked, and he

422
00:23:06,440 --> 00:23:12,760
Speaker 1: plays the guitar. He yeah, well for the inauguration. Listen,

423
00:23:12,800 --> 00:23:15,040
Speaker 1: he's good. I don't know if you want to close

424
00:23:15,119 --> 00:23:18,600
Speaker 1: with that though. Uh, but here in New York, Uh,

425
00:23:18,640 --> 00:23:20,520
Speaker 1: you can have a naked cowboy singing and playing to

426
00:23:20,560 --> 00:23:22,520
Speaker 1: get there. Nobody looks, nobody pays it to but that

427
00:23:22,560 --> 00:23:25,520
Speaker 1: tourists love him. They go crazy over him. Hey, if

428
00:23:25,560 --> 00:23:28,760
Speaker 1: you're in New York for Christmas, Trump Tower is a

429
00:23:28,800 --> 00:23:35,040
Speaker 1: spectacular place. If you go downstairs, they got the little

430
00:23:35,119 --> 00:23:37,520
Speaker 1: kiosk where they sell the Trump hats and all the

431
00:23:37,560 --> 00:23:40,520
Speaker 1: Trump shirts and all that stuff. And then there's a

432
00:23:40,760 --> 00:23:43,399
Speaker 1: like a big cafe there where you go up to

433
00:23:43,400 --> 00:23:45,360
Speaker 1: the county you can order whatever he wants pretty good.

434
00:23:45,359 --> 00:23:47,320
Speaker 1: And then in the back and the back is a

435
00:23:47,359 --> 00:23:51,439
Speaker 1: real restaurant, the Trump Grill. It's excellent. Don't believe that

436
00:23:51,560 --> 00:23:54,959
Speaker 1: Vanity Fair hit piece that Trump Grill. I eat there

437
00:23:55,000 --> 00:23:56,960
Speaker 1: a lot. It's one of the best hamburgers in New York.

438
00:23:57,240 --> 00:23:59,920
Speaker 1: It's got that taco bowl. You remember that famous pick

439
00:24:00,520 --> 00:24:03,120
Speaker 1: that is one of the most delicious things. I'm told

440
00:24:03,160 --> 00:24:05,879
Speaker 1: it's like a million calories, but you can't have it

441
00:24:05,920 --> 00:24:10,320
Speaker 1: all the time, but it's absolutely delicious. So the Vanity

442
00:24:10,440 --> 00:24:14,960
Speaker 1: Fair editor, Graden Carter hates Trump. He's a crazy liberalist,

443
00:24:15,040 --> 00:24:17,840
Speaker 1: Graden Carter, So he ordered a guy to go down

444
00:24:17,880 --> 00:24:21,160
Speaker 1: there and write a vicious review of the Trump Grill

445
00:24:21,240 --> 00:24:24,600
Speaker 1: that I wrote. This awful, ridiculous fake news review called

446
00:24:24,600 --> 00:24:27,880
Speaker 1: it the worst restaurant in New York. And again I'm

447
00:24:27,920 --> 00:24:30,360
Speaker 1: telling you, I eat there once or twice a month.

448
00:24:30,400 --> 00:24:33,359
Speaker 1: It's excellent. So don't believe this review. You know that

449
00:24:33,400 --> 00:24:36,960
Speaker 1: the editor, this editor of Vanity Fair, has had three restaurants,

450
00:24:37,040 --> 00:24:40,479
Speaker 1: every one of them a total disaster, either closed, sold,

451
00:24:40,560 --> 00:24:43,120
Speaker 1: or got him the hell out of there. Uh let's

452
00:24:43,160 --> 00:24:49,520
Speaker 1: go to uh Brian in Cincinnati, Ohio. Hey Brian, Yes, Brian,

453
00:24:50,359 --> 00:24:54,560
Speaker 1: listen to see you guys hearing the truth. Um, I'm

454
00:24:54,600 --> 00:24:58,920
Speaker 1: so tired of hearing all the excuses that that we've heard,

455
00:24:59,760 --> 00:25:03,480
Speaker 1: uh for their incompetence on this election. Um, you know,

456
00:25:03,520 --> 00:25:06,760
Speaker 1: I'm so tired of hearing how we're racist, how we

457
00:25:07,040 --> 00:25:11,160
Speaker 1: you know the Russians. You know, it's it's the Republican rich,

458
00:25:11,280 --> 00:25:14,080
Speaker 1: the you know, the witch hunts that we've heard since

459
00:25:14,119 --> 00:25:18,840
Speaker 1: the nineties from the Clintons, and you know, the failed

460
00:25:20,160 --> 00:25:24,400
Speaker 1: their failed approach to reach us, to tell us why

461
00:25:24,480 --> 00:25:29,120
Speaker 1: we even vote for them. It was just horrible. I've heard,

462
00:25:29,520 --> 00:25:31,560
Speaker 1: you know, the election was hacked by the Russians, but

463
00:25:31,600 --> 00:25:34,560
Speaker 1: they can't provide any proof, for any evidence. It's a

464
00:25:34,640 --> 00:25:38,159
Speaker 1: very dangerous game that Obama is playing that he you know,

465
00:25:38,320 --> 00:25:41,480
Speaker 1: we're we're asking, you know, for trouble when he says

466
00:25:41,520 --> 00:25:44,040
Speaker 1: stuff like that, we can't acknowledge the fact that we

467
00:25:44,080 --> 00:25:47,199
Speaker 1: have radical Islam, but we can acknowledge we can go

468
00:25:47,240 --> 00:25:51,960
Speaker 1: after the Russians on a lane, just a lane tru

469
00:25:52,040 --> 00:25:54,960
Speaker 1: of evidence, no no evidence. Yeah, no, you said it best.

470
00:25:55,000 --> 00:25:57,080
Speaker 1: It's just it's just a game. What's the day to day.

471
00:25:57,880 --> 00:26:01,160
Speaker 1: I think it's the twenty so January tweans inauguration day

472
00:26:01,560 --> 00:26:06,800
Speaker 1: one month, four weeks. This nightmare will be over. You'll

473
00:26:06,800 --> 00:26:10,240
Speaker 1: have President Trump four weeks from now. You won't have

474
00:26:10,240 --> 00:26:13,920
Speaker 1: to hear about any crazy supposed Russian hacking. Does anybody

475
00:26:13,920 --> 00:26:17,440
Speaker 1: even still understand this fake news story? What exactly is

476
00:26:17,520 --> 00:26:21,480
Speaker 1: this fake news? I have no idea was there any

477
00:26:21,480 --> 00:26:23,080
Speaker 1: fake news to any may ever see it. I keep

478
00:26:23,080 --> 00:26:26,520
Speaker 1: hearing some story about a pizza one pizza place in

479
00:26:26,600 --> 00:26:29,760
Speaker 1: Washington it was a sex ring. That wasn't a sexuing.

480
00:26:29,800 --> 00:26:31,399
Speaker 1: If that was the fake news story, I don't know

481
00:26:31,400 --> 00:26:34,520
Speaker 1: anybody ever actually saw it worried about it. H Where

482
00:26:34,600 --> 00:26:36,920
Speaker 1: was that fake story? I mean, I remember seeing it

483
00:26:36,960 --> 00:26:39,240
Speaker 1: on a couple of websites, but who paid attention to it?

484
00:26:39,400 --> 00:26:42,879
Speaker 1: That that had absolutely no effect on the election. You

485
00:26:43,000 --> 00:26:46,840
Speaker 1: had maybe three fake news stories that nobody saw. You

486
00:26:46,920 --> 00:26:52,960
Speaker 1: had fifty two million totally ridiculously biased, embellished hit pieces

487
00:26:53,000 --> 00:26:55,399
Speaker 1: on Trump. I would think that had a bigger effect

488
00:26:55,400 --> 00:26:59,160
Speaker 1: than to fake news stories nobody ever saw this crazy.

489
00:26:59,240 --> 00:27:03,040
Speaker 1: Facebook has now said they will breath begin to fact

490
00:27:03,160 --> 00:27:07,359
Speaker 1: check all the stories you post, and they will label

491
00:27:07,440 --> 00:27:10,400
Speaker 1: them if they think they're fake news. They'll actually label

492
00:27:10,440 --> 00:27:13,760
Speaker 1: its saying fact checkers dispute the story. Now, who have

493
00:27:13,800 --> 00:27:19,000
Speaker 1: they chosen as fact checkers? I think it's basically three organizations.

494
00:27:19,000 --> 00:27:23,480
Speaker 1: Two of them are the most ridiculously biased organizations in

495
00:27:23,520 --> 00:27:27,880
Speaker 1: the world. One is called Snopes. Snopes is these two slobs,

496
00:27:28,920 --> 00:27:32,199
Speaker 1: uh and their cat. You didn't have you ever seen them? Oh?

497
00:27:32,359 --> 00:27:34,800
Speaker 1: I go to my Twitter and scroll down. I have

498
00:27:34,920 --> 00:27:40,640
Speaker 1: a picture of these two idiots, these two large slobs,

499
00:27:41,720 --> 00:27:45,320
Speaker 1: and they're large. Even the cat is overweight. They live

500
00:27:45,359 --> 00:27:48,800
Speaker 1: in an apartment in Michigan or someplace. They run the

501
00:27:49,000 --> 00:27:53,119
Speaker 1: Snopes out of their garage. It's Mark Simone n Y

502
00:27:53,160 --> 00:27:56,239
Speaker 1: a Twitter. I'm just telling you, scroll down, look at

503
00:27:56,240 --> 00:27:58,479
Speaker 1: the picture of these two idiots. You'll never look at

504
00:27:58,520 --> 00:28:01,840
Speaker 1: Snopes again. And it's just me saying this. Many people

505
00:28:01,880 --> 00:28:07,280
Speaker 1: have checked their record. They are ridiculously biased. And then

506
00:28:07,320 --> 00:28:10,320
Speaker 1: you've got the politic Fact and fact checked dot org.

507
00:28:10,359 --> 00:28:12,000
Speaker 1: They both used to be pretty good, but in the

508
00:28:12,080 --> 00:28:17,119
Speaker 1: last year they have slanted and distorted things, uh and

509
00:28:17,200 --> 00:28:19,720
Speaker 1: just lied through their teeth about a million things. I

510
00:28:19,720 --> 00:28:22,840
Speaker 1: could I could run down examples. Uh. You know, here's

511
00:28:22,880 --> 00:28:25,119
Speaker 1: another thing. I think it was. James Toronto in the

512
00:28:25,160 --> 00:28:27,919
Speaker 1: Wall Street Journal wrote an excent column about these sites

513
00:28:28,040 --> 00:28:31,760
Speaker 1: politic Fact and Snopes where one time they took a

514
00:28:31,840 --> 00:28:36,040
Speaker 1: statement that a Republican made and they said definitely false.

515
00:28:36,119 --> 00:28:40,920
Speaker 1: We rate that false. What they didn't know was earlier,

516
00:28:41,080 --> 00:28:43,560
Speaker 1: like a year before, a Democrat had made the same

517
00:28:43,600 --> 00:28:46,840
Speaker 1: statement and they rated it true. And they've done that

518
00:28:46,920 --> 00:28:49,200
Speaker 1: a number of times. When the Republican says that, it

519
00:28:49,240 --> 00:28:51,600
Speaker 1: gets rated false, when the Democrats says it, it gets

520
00:28:51,680 --> 00:28:53,840
Speaker 1: rated mostly through Linda. What are you laughing at? Did

521
00:28:53,840 --> 00:28:59,040
Speaker 1: you see the picture? Oh my god, it's really bad.

522
00:28:59,160 --> 00:29:01,400
Speaker 1: First I had also the other video of the woman

523
00:29:01,440 --> 00:29:04,440
Speaker 1: who's crazy in the pink top flipping the bird. What

524
00:29:04,480 --> 00:29:06,720
Speaker 1: story is that? I don't remember, but it's it's Mark

525
00:29:06,760 --> 00:29:09,240
Speaker 1: Simone n Y at Twitter, and then scrolled down to

526
00:29:09,360 --> 00:29:12,800
Speaker 1: you see the Snopes people. Now Linda saw the picture.

527
00:29:12,880 --> 00:29:14,720
Speaker 1: Just tell me about these two people. Would you trust

528
00:29:14,760 --> 00:29:17,479
Speaker 1: them on anything? Clearly they loved their Cat's a very

529
00:29:17,600 --> 00:29:21,280
Speaker 1: large cat. Yeah, it looks like it looks like the

530
00:29:21,360 --> 00:29:24,080
Speaker 1: cat maybe getting in on some of the approval of

531
00:29:24,120 --> 00:29:26,400
Speaker 1: the story. I don't know. I went to the day

532
00:29:26,400 --> 00:29:28,120
Speaker 1: because I put something up and the guy guy wrote

533
00:29:28,160 --> 00:29:30,200
Speaker 1: to me says, Snope says it's not true. You know,

534
00:29:30,400 --> 00:29:34,760
Speaker 1: he thinks Snopes is like the floor of a skyscraper

535
00:29:34,760 --> 00:29:38,480
Speaker 1: here in Manhattan and hundreds of people at the computer terminals.

536
00:29:38,760 --> 00:29:42,720
Speaker 1: It's these two slobs you will admit now, yeah, am

537
00:29:42,760 --> 00:29:46,360
Speaker 1: I being unfair? I mean, if that's their best photo,

538
00:29:46,440 --> 00:29:50,120
Speaker 1: it says a lot. These are two slobs. It looks

539
00:29:50,120 --> 00:29:53,480
Speaker 1: like Rosanne and her husband, doesn't it, and a big

540
00:29:53,520 --> 00:29:57,360
Speaker 1: fat cat on a bad looking couch somewhere in the Midwest,

541
00:29:57,400 --> 00:30:00,320
Speaker 1: and they run this snopes out of their laptop. I think,

542
00:30:00,360 --> 00:30:04,160
Speaker 1: what's more funny. Her sweater matches the pillow, and the

543
00:30:04,520 --> 00:30:07,959
Speaker 1: count is like in a crocheted paint planket, and the

544
00:30:08,040 --> 00:30:10,440
Speaker 1: cat is in the guy's hair. I don't know what's

545
00:30:10,480 --> 00:30:13,680
Speaker 1: happening here. So how could Facebook say this will be

546
00:30:13,720 --> 00:30:17,920
Speaker 1: our fact checker? These two idiots, these two lunatics, are

547
00:30:17,920 --> 00:30:21,959
Speaker 1: the fact checkers for Facebook and then the other one

548
00:30:22,040 --> 00:30:25,040
Speaker 1: or two organizations. Uh, if you want some credibility, they

549
00:30:25,040 --> 00:30:28,040
Speaker 1: are funded in part by George Soros. So now you

550
00:30:28,080 --> 00:30:31,000
Speaker 1: know how balanced they are. We know you never want

551
00:30:31,000 --> 00:30:34,800
Speaker 1: to miss the Sean Hannity Show, and now you never

552
00:30:34,960 --> 00:30:40,520
Speaker 1: have to. Just sign up for Hannity Headlines, bite sized

553
00:30:40,680 --> 00:30:42,720
Speaker 1: version of the show that you can take with you

554
00:30:42,800 --> 00:30:47,280
Speaker 1: on your laptop your mobile phone everywhere you go, even

555
00:30:47,280 --> 00:30:52,880
Speaker 1: to your liberal in law's place in Vermont. So um yeah,

556
00:30:53,560 --> 00:30:56,080
Speaker 1: and after a few hours of that you'll be glad

557
00:30:56,160 --> 00:30:59,760
Speaker 1: you've brought Shawn along. To sign up today for Hannity

558
00:30:59,800 --> 00:31:03,600
Speaker 1: head lines. Go to dot com. Hey, welcome back. It's

559
00:31:03,640 --> 00:31:06,360
Speaker 1: the Sean Hannity Show. It's Mark Simone here for Sean,

560
00:31:06,800 --> 00:31:09,880
Speaker 1: So Bill and Hillary Clinton. This is the main problem

561
00:31:09,880 --> 00:31:15,400
Speaker 1: they're facing. There's is a world of money donations, billionaires

562
00:31:15,440 --> 00:31:18,959
Speaker 1: catering to them, doing them favors. The problem is if

563
00:31:19,000 --> 00:31:21,080
Speaker 1: it doesn't look like you're ever going to be elected

564
00:31:21,120 --> 00:31:25,560
Speaker 1: to anything ever again, all of that vanishes Trump, the

565
00:31:25,880 --> 00:31:29,240
Speaker 1: Clinton Foundation, all the donations have stopped. There are no

566
00:31:29,320 --> 00:31:32,480
Speaker 1: more donors, you know, for years where they want to

567
00:31:32,520 --> 00:31:35,560
Speaker 1: go somewhere, pick up the phone, call any billionaire you know,

568
00:31:35,760 --> 00:31:38,200
Speaker 1: gonna borrow you playing, not just oh sure, here's here,

569
00:31:38,200 --> 00:31:40,640
Speaker 1: here's my jet taking wherever you want. All of that

570
00:31:40,840 --> 00:31:44,479
Speaker 1: ends if they're not gonna be serving in office anymore.

571
00:31:44,480 --> 00:31:48,920
Speaker 1: In can'ta do things for people nothing else. So she

572
00:31:49,600 --> 00:31:52,160
Speaker 1: quietly floated the idea of running from mayor of New

573
00:31:52,240 --> 00:31:54,760
Speaker 1: York next year. There's going to be an election here.

574
00:31:55,240 --> 00:31:57,120
Speaker 1: She just felt a few people out on it, So

575
00:31:57,240 --> 00:32:00,520
Speaker 1: I don't think that went anywhere. Now are You'll notice

576
00:32:00,560 --> 00:32:05,720
Speaker 1: that she's making noise about running in two thousand and

577
00:32:05,760 --> 00:32:08,120
Speaker 1: she's actually mentioned it a couple of times running in

578
00:32:08,120 --> 00:32:12,360
Speaker 1: two thousand twenty. That's to keep the donations flowing. That's

579
00:32:12,360 --> 00:32:16,239
Speaker 1: to keep the planes coming. Uh, you know, if they

580
00:32:16,240 --> 00:32:18,000
Speaker 1: need to, you know, when they take that vacation, we'll

581
00:32:18,000 --> 00:32:20,440
Speaker 1: go stay at the billionaire's house in the Hamptons or

582
00:32:20,880 --> 00:32:25,040
Speaker 1: uh Martha's vineyard. That's to keep the money flowing. It's

583
00:32:25,040 --> 00:32:27,400
Speaker 1: gotta look like she's gonna run for something. You saw

584
00:32:27,560 --> 00:32:30,280
Speaker 1: her passing out in the street. Now imagine four years

585
00:32:30,320 --> 00:32:33,120
Speaker 1: from now, healthy she'll be. So I don't think she

586
00:32:33,160 --> 00:32:36,000
Speaker 1: can get it through her head. She's run twice. The

587
00:32:36,080 --> 00:32:41,680
Speaker 1: first time a rookie beat her, a total rookie, Barack Obama.

588
00:32:41,760 --> 00:32:45,240
Speaker 1: The second time she ran, a total amateur, never run

589
00:32:45,280 --> 00:32:48,960
Speaker 1: for anything in his life, wiped her out completely. So

590
00:32:49,760 --> 00:32:52,760
Speaker 1: I just don't see how she could ever beat anybody.

591
00:32:52,880 --> 00:32:54,520
Speaker 1: She's got to get it through her head. Anyway, when

592
00:32:54,560 --> 00:32:57,080
Speaker 1: we come back, lou Dobbs will be with us. Uh,

593
00:32:57,120 --> 00:33:00,760
Speaker 1: we'll talk about the transition, the cabinet. Who's coming in. Uh,

594
00:33:00,920 --> 00:33:03,360
Speaker 1: Larry Cudlow, a lot of talk about him. We'll get

595
00:33:03,440 --> 00:33:05,840
Speaker 1: to him in the next hour. And and Coulter just

596
00:33:05,920 --> 00:33:15,600
Speaker 1: ahead it's Mark Simone here for Sean Hannity podcast. Hey,

597
00:33:15,640 --> 00:33:18,960
Speaker 1: welcome back. It's Mark Simone here for Sean Hannity. Now

598
00:33:19,480 --> 00:33:21,760
Speaker 1: my Tevoh, I only got a couple of things on

599
00:33:21,840 --> 00:33:24,440
Speaker 1: my TiVo that I record every night. One Hannity of course,

600
00:33:24,520 --> 00:33:29,240
Speaker 1: ten o'clock Fox News Channel and Lou Dabbs seven o'clock

601
00:33:29,480 --> 00:33:34,080
Speaker 1: Fox Business Network, the best political analysts analysis of what's

602
00:33:34,120 --> 00:33:37,200
Speaker 1: going on. And here's the host of the show, Lou Dobbs.

603
00:33:37,200 --> 00:33:39,360
Speaker 1: How are you great to be with you? Mark? I'm

604
00:33:39,360 --> 00:33:42,760
Speaker 1: doing good. Hey. Also, you have covered business for years,

605
00:33:42,840 --> 00:33:46,520
Speaker 1: You've covered politics for years. You combine the two and

606
00:33:46,560 --> 00:33:49,080
Speaker 1: you get this Trump cabinet. What do you think of

607
00:33:49,120 --> 00:33:52,480
Speaker 1: the transition the cabinet picks so far? Well, I I

608
00:33:52,520 --> 00:33:55,520
Speaker 1: get a kick out of out of all of the

609
00:33:56,920 --> 00:34:01,480
Speaker 1: fleas that keep dogging the president and Lacked and they

610
00:34:01,560 --> 00:34:05,160
Speaker 1: just keep getting smaller and smaller. The idea that they

611
00:34:05,160 --> 00:34:08,440
Speaker 1: would go after this. Uh, this team of what I

612
00:34:08,520 --> 00:34:12,080
Speaker 1: consider just an astounding team of doers that he's as

613
00:34:12,080 --> 00:34:15,560
Speaker 1: symboled for his cabinet shows you just how small minded

614
00:34:15,600 --> 00:34:19,279
Speaker 1: the left is becoming and shrinking every day. Yeah, you know,

615
00:34:20,080 --> 00:34:21,480
Speaker 1: I don't know a lot of these people you probably

616
00:34:21,480 --> 00:34:24,799
Speaker 1: know Rex Tillerson, and these these CEOs and the and

617
00:34:24,840 --> 00:34:27,799
Speaker 1: these generals. They live in a world of just get

618
00:34:27,840 --> 00:34:31,960
Speaker 1: it done. There's no excuses. Uh, there's no maybe, no

619
00:34:32,120 --> 00:34:35,000
Speaker 1: take ten more meetings, just get it done. And that's

620
00:34:35,040 --> 00:34:38,880
Speaker 1: an entirely different approach to government, an entirely different approach.

621
00:34:38,960 --> 00:34:42,680
Speaker 1: And they understand that what they're doing is consequential. They're

622
00:34:42,760 --> 00:34:46,319
Speaker 1: used to making decisions, making tough decisions, and understanding they

623
00:34:46,320 --> 00:34:49,080
Speaker 1: will have to live with the consequences and that they

624
00:34:49,080 --> 00:34:52,440
Speaker 1: will be held accountable, every single one of these people.

625
00:34:52,920 --> 00:34:56,120
Speaker 1: And irrespective of their walk of life, where their generals,

626
00:34:56,120 --> 00:35:00,360
Speaker 1: where their surgeons, where they're CEOs, they under stay in

627
00:35:00,440 --> 00:35:03,120
Speaker 1: what it means to make a decision and live with

628
00:35:03,160 --> 00:35:06,719
Speaker 1: the consequences, which is just the inverse of everything that

629
00:35:06,760 --> 00:35:09,520
Speaker 1: we're seeing in the Obama administration for eight years. Yeah,

630
00:35:09,680 --> 00:35:12,840
Speaker 1: I've read a lot of criticism though that this cabinet

631
00:35:12,880 --> 00:35:17,000
Speaker 1: now has like a net worth of fifty billion dollars. Uh. Uh,

632
00:35:17,480 --> 00:35:20,080
Speaker 1: were we supposed to be thrilled with the Obama cabinet

633
00:35:20,120 --> 00:35:23,160
Speaker 1: that they all made like a dollar fifty And yeah,

634
00:35:23,200 --> 00:35:25,400
Speaker 1: you get to get the failing, don't you. That success

635
00:35:25,600 --> 00:35:30,439
Speaker 1: is just something the government shouldn't shouldn't strive for How

636
00:35:30,480 --> 00:35:33,239
Speaker 1: why would why would Donald Trump bring in all these

637
00:35:33,280 --> 00:35:37,200
Speaker 1: people who actually do things, actually succeed, who get lucky

638
00:35:37,239 --> 00:35:41,600
Speaker 1: when they think, don't make excuses and set an objective

639
00:35:41,640 --> 00:35:44,120
Speaker 1: and achieve it. I mean, do we really want a

640
00:35:44,160 --> 00:35:46,960
Speaker 1: government like that? The answer is hell, yes we do,

641
00:35:47,080 --> 00:35:50,120
Speaker 1: and we've been waiting for a very long time. Well,

642
00:35:50,160 --> 00:35:51,719
Speaker 1: you know, there a lot of people always said if

643
00:35:51,760 --> 00:35:55,000
Speaker 1: we get these including me, you get the real talent

644
00:35:55,040 --> 00:35:57,200
Speaker 1: in the private sector to come into government, it could

645
00:35:57,239 --> 00:36:00,239
Speaker 1: really make a difference. Is there any chance this won't work,

646
00:36:00,320 --> 00:36:04,200
Speaker 1: that there's something they don't know about the government. Well,

647
00:36:04,360 --> 00:36:07,080
Speaker 1: there's a lot that they don't know about government. But

648
00:36:07,200 --> 00:36:11,200
Speaker 1: we've also seen proof positive that knowing something about government

649
00:36:11,239 --> 00:36:15,680
Speaker 1: doesn't assure or even suggest success, does it. I mean,

650
00:36:15,760 --> 00:36:17,840
Speaker 1: look at the people that have been I mean, Carry

651
00:36:17,880 --> 00:36:19,840
Speaker 1: has been in government his whole life. The Clintons in

652
00:36:19,920 --> 00:36:23,240
Speaker 1: government their whole lives. Do we really want to try

653
00:36:23,400 --> 00:36:28,000
Speaker 1: that particular model again? I don't think so. We do

654
00:36:28,120 --> 00:36:31,040
Speaker 1: know that the men and women of this cabinet have

655
00:36:31,120 --> 00:36:36,480
Speaker 1: achieved success on the strength of their their imaginations, their intellects,

656
00:36:36,560 --> 00:36:41,040
Speaker 1: their courage, their hearts and we do want them in government,

657
00:36:41,080 --> 00:36:43,799
Speaker 1: and I, for one say thank you for bringing them

658
00:36:43,800 --> 00:36:47,319
Speaker 1: in the government. And I tell you, I say thank

659
00:36:47,360 --> 00:36:51,240
Speaker 1: you the Donald J. Trump for giving up the life,

660
00:36:51,320 --> 00:36:54,600
Speaker 1: the comfort, uh and all of the freedom of being

661
00:36:55,719 --> 00:36:59,360
Speaker 1: a billionaire in his own right uh, to serve the

662
00:36:59,480 --> 00:37:01,760
Speaker 1: to serve the nation. I mean, this is a big

663
00:37:01,800 --> 00:37:04,680
Speaker 1: moment in our history. Yeah, hey, lou Dobs, that you'd

664
00:37:04,680 --> 00:37:07,200
Speaker 1: be pointed out you were kind of an inspiration for

665
00:37:07,280 --> 00:37:09,440
Speaker 1: Donald Trump. It was back in the two thousand's you

666
00:37:09,520 --> 00:37:12,400
Speaker 1: started talking about these bad trade agreements. The middle class

667
00:37:12,440 --> 00:37:15,839
Speaker 1: has forgotten all of the themes that he began to use,

668
00:37:16,120 --> 00:37:18,160
Speaker 1: and he picked up on it, he said, he picked

669
00:37:18,200 --> 00:37:21,120
Speaker 1: up on what you were doing. What what is it

670
00:37:21,160 --> 00:37:23,439
Speaker 1: about the Democrats that they didn't hear what you were saying?

671
00:37:23,440 --> 00:37:25,160
Speaker 1: Did they just not want to hear it? I think

672
00:37:25,160 --> 00:37:29,600
Speaker 1: the Democrats were so committed to creating and furthering a

673
00:37:29,640 --> 00:37:33,279
Speaker 1: culture of dependency that they couldn't even imagine what it

674
00:37:33,760 --> 00:37:36,520
Speaker 1: meant to have a middle class that was being strangled,

675
00:37:37,440 --> 00:37:42,439
Speaker 1: a middle class where the American dream resides of suffocating

676
00:37:42,600 --> 00:37:47,560
Speaker 1: under uh these reduced opportunities. A government that didn't give

677
00:37:47,560 --> 00:37:50,920
Speaker 1: a damn about them would spend trillions of dollars. Uh,

678
00:37:51,440 --> 00:37:57,040
Speaker 1: in creating in fact, more dependency, sustaining dependency, rather than

679
00:37:57,160 --> 00:38:01,160
Speaker 1: creating more small business, more john abs, and more wealth.

680
00:38:02,120 --> 00:38:07,040
Speaker 1: It's it's it's amazing that Donald Trump emerges from all

681
00:38:07,080 --> 00:38:10,480
Speaker 1: of this and stands up for the working man and woman,

682
00:38:10,520 --> 00:38:14,640
Speaker 1: the working man and woman's family, our middle class, the

683
00:38:14,680 --> 00:38:18,680
Speaker 1: American dream because the Republican Party Mark, remember, was not

684
00:38:18,800 --> 00:38:22,000
Speaker 1: exactly famous for reaching out and putting their arms around

685
00:38:22,000 --> 00:38:24,920
Speaker 1: a working man or woman in this country. Either he

686
00:38:25,040 --> 00:38:27,640
Speaker 1: has changed everything. Well, we tell you with lou Dobbs,

687
00:38:27,640 --> 00:38:30,520
Speaker 1: you should watch him every night at seven o'clock Fox

688
00:38:30,600 --> 00:38:34,560
Speaker 1: Business Network. Uh. And then it's repeated again ten o'clock

689
00:38:34,600 --> 00:38:40,920
Speaker 1: at night right correct Eastern time and eleven um. You know,

690
00:38:41,520 --> 00:38:43,600
Speaker 1: if you went back two months in a time machine,

691
00:38:44,000 --> 00:38:46,719
Speaker 1: you could pick up the paper or watch MSNBC, they

692
00:38:46,719 --> 00:38:49,320
Speaker 1: would explain to you that the Republican Party has finished

693
00:38:49,760 --> 00:38:52,160
Speaker 1: because of the demographic makeup of the country, they could

694
00:38:52,200 --> 00:38:57,080
Speaker 1: never win the electoral vote. Ever again, they're completely wiped out.

695
00:38:57,480 --> 00:39:00,640
Speaker 1: They represent nobody anymore. Look how fast it's all turned

696
00:39:00,640 --> 00:39:05,600
Speaker 1: a room. It's incredibleisdom and and it's going to keep turning. Uh.

697
00:39:05,680 --> 00:39:08,680
Speaker 1: This is Donald Trump is a man who's shown he's

698
00:39:08,719 --> 00:39:12,200
Speaker 1: not afraid to turn the Orthodox the upside down, to

699
00:39:12,239 --> 00:39:15,319
Speaker 1: go after the establishment and uh, you know, kick the

700
00:39:15,360 --> 00:39:19,000
Speaker 1: status quo in the rear end. He's reaching out now

701
00:39:19,040 --> 00:39:25,000
Speaker 1: to inner cities. Uh, African American young people, all African Americans.

702
00:39:25,040 --> 00:39:28,239
Speaker 1: He will, he will content, he will contest with the

703
00:39:28,280 --> 00:39:30,759
Speaker 1: Democrats for every single vote in the inner city. From

704
00:39:30,800 --> 00:39:35,400
Speaker 1: here on, the Republican Party will as well. The culture

705
00:39:35,400 --> 00:39:37,920
Speaker 1: of dependency that the Left built up in this country

706
00:39:37,960 --> 00:39:41,560
Speaker 1: they was sufficient. I mean the insult from the left,

707
00:39:41,840 --> 00:39:46,160
Speaker 1: Mark I truly believe has been beyond comprehension and tolerance.

708
00:39:46,960 --> 00:39:53,040
Speaker 1: They have insulted African Americans, the Hispanics, every minority, saying

709
00:39:53,080 --> 00:39:57,279
Speaker 1: that without government, you can't survive, you can't prosper, you

710
00:39:57,360 --> 00:40:01,400
Speaker 1: can't grow, when we know, point of fact, that that

711
00:40:01,520 --> 00:40:06,160
Speaker 1: opportunity is created in our free market, free enterprise system

712
00:40:06,200 --> 00:40:11,680
Speaker 1: and unfettered real talent, real minds grow developed, and in

713
00:40:11,719 --> 00:40:16,960
Speaker 1: our schools. Our business has become really the great equalizers

714
00:40:16,960 --> 00:40:21,920
Speaker 1: in our society. Lou Dobs, you've been really good at reading. James, comey,

715
00:40:21,960 --> 00:40:24,280
Speaker 1: you go back a couple of weeks he was saying,

716
00:40:24,280 --> 00:40:26,920
Speaker 1: there's no evidence of any hacking. There's no evidence now

717
00:40:26,920 --> 00:40:29,799
Speaker 1: all of a sudden, definitely hacking. Uh. This is not

718
00:40:29,880 --> 00:40:32,560
Speaker 1: the first flip flop. What would you would you keep

719
00:40:32,640 --> 00:40:36,400
Speaker 1: James comey? Uh if you were Donald Trump? Not for

720
00:40:36,440 --> 00:40:39,400
Speaker 1: a New York second. Uh, this is a This is

721
00:40:39,440 --> 00:40:45,040
Speaker 1: an institution, I mean a storied agency, and the leadership

722
00:40:45,080 --> 00:40:47,720
Speaker 1: of the agency has been a disaster for the last

723
00:40:47,719 --> 00:40:52,680
Speaker 1: ten years. Uh. They have failed. They have created apparently

724
00:40:52,800 --> 00:40:56,600
Speaker 1: a culture of failure. They oppressed their agents rather than

725
00:40:56,680 --> 00:40:59,160
Speaker 1: free them up to go after the bad guys, whether

726
00:40:59,200 --> 00:41:01,359
Speaker 1: it be in terms of law enforcement, which they've all

727
00:41:01,400 --> 00:41:05,040
Speaker 1: but abandoned, or whether it be in the war on terror. Uh,

728
00:41:05,280 --> 00:41:08,839
Speaker 1: we've got to make that agency work. The agents are

729
00:41:08,880 --> 00:41:12,080
Speaker 1: the best in the world. Uh. The leadership has to

730
00:41:12,160 --> 00:41:15,040
Speaker 1: be I would say, amongst the worst in our government.

731
00:41:15,440 --> 00:41:17,840
Speaker 1: And that's really got to change quickly. What would you

732
00:41:17,880 --> 00:41:20,880
Speaker 1: do with the CIA or these intelligent things? Some vague

733
00:41:21,120 --> 00:41:24,640
Speaker 1: talk about hacking, nobody can pinpoint anything. Yeah, I I

734
00:41:24,640 --> 00:41:27,440
Speaker 1: would say the day of you coming to the American

735
00:41:27,480 --> 00:41:29,920
Speaker 1: people in public and saying you have a high confidence

736
00:41:29,960 --> 00:41:33,880
Speaker 1: of anything, you should shut your mouths. Uh. It's a

737
00:41:33,920 --> 00:41:37,400
Speaker 1: covert agency. It needs to behave as a responsible covert

738
00:41:37,560 --> 00:41:41,120
Speaker 1: agency and not a political organization, which is what it's

739
00:41:41,160 --> 00:41:45,800
Speaker 1: been reduced to under John Brennan and under the Obama administration.

740
00:41:46,200 --> 00:41:52,280
Speaker 1: It is disgusting. It's appalling, uh that that this has happened. Uh.

741
00:41:52,440 --> 00:41:57,600
Speaker 1: President Obama bears horrible responsibility for it, and it's got

742
00:41:57,600 --> 00:41:59,879
Speaker 1: to be changed. I have every confidence in Donald Trump

743
00:42:00,160 --> 00:42:03,759
Speaker 1: change it instantly when he uh takes the oath of

744
00:42:03,760 --> 00:42:07,200
Speaker 1: office and walks into the Oval office to begin considering

745
00:42:07,200 --> 00:42:10,520
Speaker 1: our way forward. You know. Also there's a new ambassador

746
00:42:10,560 --> 00:42:13,960
Speaker 1: to Israel, a new choice, uh, and every government persons,

747
00:42:14,000 --> 00:42:16,320
Speaker 1: So this is awful. This guy is crazy. This is terrible.

748
00:42:16,320 --> 00:42:18,400
Speaker 1: This is the last time of the party. You got

749
00:42:18,440 --> 00:42:23,280
Speaker 1: every leader of the Jewish community, Uh, the leading Jewish publishers. Uh,

750
00:42:23,320 --> 00:42:24,879
Speaker 1: they're all tell me they love this guy. They think

751
00:42:24,920 --> 00:42:28,600
Speaker 1: he's a great choice. Yeah. And and Donald Trump has

752
00:42:28,640 --> 00:42:33,359
Speaker 1: already pledged uh that the Jerusalem will be the side

753
00:42:33,360 --> 00:42:36,719
Speaker 1: of the new US embassy, and that means it will

754
00:42:36,800 --> 00:42:39,439
Speaker 1: be so that that part of the discussion is over.

755
00:42:40,120 --> 00:42:44,160
Speaker 1: The real issue is his confirmation as ambassador. And if

756
00:42:44,160 --> 00:42:47,319
Speaker 1: there are Republicans who oppose him, I think they will

757
00:42:47,360 --> 00:42:50,680
Speaker 1: do so at immense peril to their political futures. Uh,

758
00:42:50,719 --> 00:42:53,120
Speaker 1: this is a decision that's been made by Donald Trump

759
00:42:53,600 --> 00:42:56,480
Speaker 1: and it's going forward. And people have better get used

760
00:42:56,480 --> 00:43:00,319
Speaker 1: to the leadership that doesn't pander, leadership that is not

761
00:43:01,120 --> 00:43:04,080
Speaker 1: retreat in the face of opposition. This is a man

762
00:43:04,120 --> 00:43:06,880
Speaker 1: who has demonstrated who he is, how strong his views

763
00:43:06,960 --> 00:43:11,120
Speaker 1: and his character is. Uh. And I think we're in

764
00:43:11,200 --> 00:43:13,839
Speaker 1: for quite a demonstration over the course of the next

765
00:43:14,320 --> 00:43:17,720
Speaker 1: I'm going to say eight years. Yeah, this old guard,

766
00:43:17,760 --> 00:43:19,920
Speaker 1: what is it? They just operating under the impression that

767
00:43:19,960 --> 00:43:21,960
Speaker 1: everything has been just great, just keep it the way

768
00:43:21,960 --> 00:43:25,120
Speaker 1: it is, this old guard, you know. And that's a

769
00:43:25,160 --> 00:43:29,640
Speaker 1: great point. This old guard is a tired old guard. Uh.

770
00:43:29,680 --> 00:43:31,759
Speaker 1: They really think that they are in their positions of

771
00:43:31,840 --> 00:43:36,239
Speaker 1: power and influence wherever they are in government. Uh, and

772
00:43:36,360 --> 00:43:39,919
Speaker 1: that the stas quo is for them and everyone else

773
00:43:40,000 --> 00:43:43,480
Speaker 1: be damned. Those days are over. Uh. This this government

774
00:43:43,560 --> 00:43:46,040
Speaker 1: is about to be for the people. When Donald Trump

775
00:43:46,080 --> 00:43:49,479
Speaker 1: says that, he means it. He said, never again will

776
00:43:49,560 --> 00:43:52,280
Speaker 1: our middle class working men and women, will their voices

777
00:43:52,320 --> 00:43:55,640
Speaker 1: fall on deaf ears and government and that And I mean,

778
00:43:55,680 --> 00:43:58,359
Speaker 1: that's that's got a joyous ring to it, doesn't it. Yeah,

779
00:43:58,480 --> 00:44:00,120
Speaker 1: did you ever think you'd actually live to see this.

780
00:44:00,840 --> 00:44:03,440
Speaker 1: You know, I wondered if I would. I won't say

781
00:44:03,440 --> 00:44:06,839
Speaker 1: that I doubted it, but I sure did wonder. Uh.

782
00:44:07,239 --> 00:44:09,880
Speaker 1: And uh, you know you mentioned the books that I've

783
00:44:09,920 --> 00:44:14,640
Speaker 1: written on these subjects. They started in two thousand four. Uh,

784
00:44:14,719 --> 00:44:16,520
Speaker 1: and I've been reporting on it for a couple of

785
00:44:16,600 --> 00:44:18,879
Speaker 1: years before that, So you know, it's taken a good

786
00:44:18,880 --> 00:44:22,160
Speaker 1: decade to get here. Yeah, one man, did we get here?

787
00:44:22,600 --> 00:44:25,520
Speaker 1: One was called Independence Day and there was the was

788
00:44:25,560 --> 00:44:27,560
Speaker 1: the book about the middle class that the War on

789
00:44:27,600 --> 00:44:30,120
Speaker 1: the middle Class. Go get this book, The War in

790
00:44:30,160 --> 00:44:32,400
Speaker 1: the middle Class. You'll think this was written yesterday by

791
00:44:32,440 --> 00:44:37,799
Speaker 1: Donald Trump, but it was years ago by Yeah. I

792
00:44:37,880 --> 00:44:41,400
Speaker 1: love it well. And watched Lou Dobbs tonight seven o'clock

793
00:44:41,440 --> 00:44:45,560
Speaker 1: and every week night seven o'clock on the Fox Business Network. Uh.

794
00:44:45,560 --> 00:44:47,840
Speaker 1: And Lou Dobbs, thanks for being with us. Great to

795
00:44:47,880 --> 00:44:51,319
Speaker 1: be with it is always Mark. Take care. Uh. Let's

796
00:44:51,320 --> 00:44:54,239
Speaker 1: take some calls in a minute. Eight nine f one

797
00:44:54,280 --> 00:44:57,239
Speaker 1: Seawan is the number eight nine one Sean Hey. At

798
00:44:57,280 --> 00:44:59,680
Speaker 1: the bottom of the hour, Larry Cudlow. He's being talked

799
00:44:59,680 --> 00:45:02,120
Speaker 1: about by a lot of people for the Trump team.

800
00:45:02,200 --> 00:45:04,760
Speaker 1: Larry Cuddler will be with us and Culter later. Mark

801
00:45:04,800 --> 00:45:08,120
Speaker 1: Simone here of check out my Twitter Mark Simone n

802
00:45:08,280 --> 00:45:10,840
Speaker 1: Y on Twitter, and we'll take some more calls in

803
00:45:10,880 --> 00:45:14,840
Speaker 1: a minute. Mark Simone here for Sean Hannity. The met

804
00:45:15,000 --> 00:45:20,680
Speaker 1: stories of the day, solutions to help move America forward.

805
00:45:21,360 --> 00:45:32,919
Speaker 1: This is a sea show. Well, it's the Sean Hannity Show.

806
00:45:32,920 --> 00:45:35,160
Speaker 1: Sean was supposed to be here, but there was Russian

807
00:45:35,200 --> 00:45:38,520
Speaker 1: hacking and it's me. I don't know what happened. It's

808
00:45:38,560 --> 00:45:42,560
Speaker 1: Mark Simone here for Sean Hannity. Uh, we got a

809
00:45:42,560 --> 00:45:47,960
Speaker 1: new Trump pick for Secretary of the Army. It's uh.

810
00:45:48,400 --> 00:45:52,360
Speaker 1: National Hockey Leagues Florida Panthers owner Vince Viola. Great guys

811
00:45:52,400 --> 00:45:55,959
Speaker 1: from New York. He's a billionaire. And I know everybody says,

812
00:45:56,239 --> 00:45:58,719
Speaker 1: why is it with these billionaires? Oh, why why are

813
00:45:58,760 --> 00:46:02,719
Speaker 1: these billionaires? Well, oh, it turns out, no matter what

814
00:46:02,800 --> 00:46:06,279
Speaker 1: business you go into, if you are incredibly good at it,

815
00:46:06,520 --> 00:46:09,719
Speaker 1: you'll become very wealthy. Doesn't matter what the field is,

816
00:46:09,800 --> 00:46:11,719
Speaker 1: what the business is. If you're a genius, next thing

817
00:46:11,719 --> 00:46:14,719
Speaker 1: you know, you're making a fortune. So that's how you

818
00:46:14,800 --> 00:46:16,960
Speaker 1: end up with all these billionaires. They're the best in

819
00:46:17,000 --> 00:46:20,160
Speaker 1: their business. Look at this Linda here the producer getting

820
00:46:20,160 --> 00:46:24,040
Speaker 1: her m b A. You know, I got out of college.

821
00:46:24,480 --> 00:46:26,719
Speaker 1: I couldn't wait to get the hell out of there. Oh,

822
00:46:26,800 --> 00:46:30,239
Speaker 1: I hated every second of it. Uh as soon as

823
00:46:30,280 --> 00:46:34,120
Speaker 1: I graduated. Don't ever call me, don't write to me. Uh,

824
00:46:34,160 --> 00:46:37,520
Speaker 1: they didn't listen. I get these emails. Letters. You want

825
00:46:37,520 --> 00:46:40,080
Speaker 1: to make a donation? No, I keep writing back. I

826
00:46:40,120 --> 00:46:42,399
Speaker 1: never want to hear from you again. Don't bother me.

827
00:46:42,840 --> 00:46:45,160
Speaker 1: Linda is out of school. Why would you go back?

828
00:46:45,239 --> 00:46:48,279
Speaker 1: You went back? Who would go back to school? She's

829
00:46:48,280 --> 00:46:51,440
Speaker 1: getting an m b A. Who can talk to her anymore? Uh,

830
00:46:52,080 --> 00:46:54,320
Speaker 1: that is not true. We just had a lovely conversation.

831
00:46:55,000 --> 00:46:57,160
Speaker 1: Understand what I said. That's all. She said like five

832
00:46:57,239 --> 00:46:59,200
Speaker 1: things about what are you gonna do with this? NBA?

833
00:46:59,280 --> 00:47:01,680
Speaker 1: She explained me, what do you say capital? Uh or

834
00:47:01,800 --> 00:47:06,719
Speaker 1: something of the perfunctory needs of the capitalist? Mark, I

835
00:47:06,719 --> 00:47:09,520
Speaker 1: don't even know what the heck that is the perfunctory

836
00:47:09,640 --> 00:47:12,840
Speaker 1: needs of the capitalist? This is There's gonna be no

837
00:47:12,960 --> 00:47:17,000
Speaker 1: talking to her anymore. Uh. You're gonna stop with this one, NBA. Right,

838
00:47:17,080 --> 00:47:20,800
Speaker 1: this is it. I'm done, okay. Hey, Speaking of which,

839
00:47:21,880 --> 00:47:26,040
Speaker 1: Larry Cudlow is one of the greatest economists in the world.

840
00:47:26,120 --> 00:47:28,279
Speaker 1: He was a big part of the Reagan administration as

841
00:47:28,320 --> 00:47:31,680
Speaker 1: an economist. You know on Wall Street, all the top firms,

842
00:47:31,719 --> 00:47:35,960
Speaker 1: bear Stearns. He was not just an economist, chief economist,

843
00:47:36,600 --> 00:47:41,560
Speaker 1: the Fed economists. You couldn't have a more impressive track

844
00:47:41,640 --> 00:47:45,920
Speaker 1: record as an economist. So now that everybody's talking he

845
00:47:45,920 --> 00:47:47,760
Speaker 1: should be in the cabinet. He should be in the cabinet.

846
00:47:47,800 --> 00:47:50,080
Speaker 1: You know this fake news stories. They always go after everybody.

847
00:47:50,320 --> 00:47:52,480
Speaker 1: So there was one of them. Uh, he doesn't have

848
00:47:52,520 --> 00:47:56,000
Speaker 1: a PhD. Yeah, that's how you know he knows what

849
00:47:56,040 --> 00:47:58,960
Speaker 1: he's doing, you know, as a PhD in that Paul Krugman,

850
00:47:59,120 --> 00:48:01,040
Speaker 1: you know, the cross side guy in the New York Times,

851
00:48:01,040 --> 00:48:04,200
Speaker 1: that bug eyed, crazy looking guy. That's who has a PhD.

852
00:48:04,400 --> 00:48:07,480
Speaker 1: And when you have a PhD in economics as an economist,

853
00:48:07,480 --> 00:48:09,480
Speaker 1: what do you end up doing being a professor at

854
00:48:09,480 --> 00:48:13,840
Speaker 1: some college with chalk all over you're talking to some students. Uh,

855
00:48:14,000 --> 00:48:17,640
Speaker 1: Alan Greenspan when he first took over the council for

856
00:48:17,640 --> 00:48:20,719
Speaker 1: the FORTUMUS, he didn't have a PhD. I mean, you

857
00:48:20,719 --> 00:48:23,680
Speaker 1: know that's like saying, oh, Sean Hannity, you can't do

858
00:48:23,719 --> 00:48:25,200
Speaker 1: a radio show. You didn't have a PhD. You know

859
00:48:25,280 --> 00:48:28,000
Speaker 1: you have to have a PhD in radio. Hey, that's

860
00:48:28,000 --> 00:48:30,480
Speaker 1: one reason I did like college. Uh. I went to

861
00:48:30,520 --> 00:48:33,520
Speaker 1: a college that's considered the best broadcasting school. But I

862
00:48:33,560 --> 00:48:36,000
Speaker 1: was also working in some great radio stations and the

863
00:48:36,080 --> 00:48:38,239
Speaker 1: best in the business were teaching me radio. And then

864
00:48:38,280 --> 00:48:41,120
Speaker 1: then go listen to the professor and I realized this

865
00:48:41,160 --> 00:48:44,520
Speaker 1: guy doesn't know what he's talking about. And he'd say,

866
00:48:44,880 --> 00:48:46,120
Speaker 1: you know, if you want to really work on a

867
00:48:46,200 --> 00:48:47,919
Speaker 1: radio says, you can't do it this way, you better

868
00:48:47,960 --> 00:48:49,440
Speaker 1: do it that way. But I was really working at

869
00:48:49,520 --> 00:48:51,640
Speaker 1: radio station. Don't do it that way. That doesn't make

870
00:48:51,680 --> 00:48:55,279
Speaker 1: any sense. So there's a real world experience where you

871
00:48:55,320 --> 00:48:58,960
Speaker 1: really know what you're doing, and there's the academic who

872
00:48:59,000 --> 00:49:02,120
Speaker 1: has no clue what he's doing. Wing. So Linda, you'll see,

873
00:49:02,160 --> 00:49:05,239
Speaker 1: you know, these NBA professors teaching all this stuff, do

874
00:49:05,280 --> 00:49:07,720
Speaker 1: you get out there in the real world. And anyway,

875
00:49:07,719 --> 00:49:10,000
Speaker 1: when we come back, Speak of the Devil, Larry Cudlow

876
00:49:10,040 --> 00:49:12,000
Speaker 1: will be with us. We'll talk to him. We've got

877
00:49:12,000 --> 00:49:16,560
Speaker 1: Ann Coulter coming up. It's Mark Simone here for Sean Hannity,

878
00:49:16,640 --> 00:49:19,200
Speaker 1: and we'll take some calls a little later. Follow me

879
00:49:19,239 --> 00:49:22,320
Speaker 1: on Twitter, Mark Simone n Y a Twitter Instagram to

880
00:49:22,600 --> 00:49:26,279
Speaker 1: Mark Simone n Y at Instagram. Larry Cudlow coming up

881
00:49:26,320 --> 00:49:29,480
Speaker 1: next on the Sean Hannity Show. Check out the show

882
00:49:29,520 --> 00:49:33,280
Speaker 1: tent four seven downloaded to your iPods. Be a handy

883
00:49:33,360 --> 00:49:36,799
Speaker 1: insider at Hannity dot Com. Well, welcome back. It's Mark

884
00:49:36,840 --> 00:49:39,799
Speaker 1: Simone here for Sean Hannity. We got lots coming up.

885
00:49:40,000 --> 00:49:42,480
Speaker 1: Larry Cudlo, you know the name, of course, one of

886
00:49:42,520 --> 00:49:45,680
Speaker 1: the nation's top economists for decades, whether it was the

887
00:49:46,040 --> 00:49:49,840
Speaker 1: biggest firms on Wall Street, the Reagan administration, the Fed,

888
00:49:50,280 --> 00:49:52,600
Speaker 1: uh C, NBC. Of course you see him there now

889
00:49:52,760 --> 00:49:55,480
Speaker 1: and uh and it's always great to happen with us.

890
00:49:55,840 --> 00:50:00,520
Speaker 1: Larry Cudlow, How are you? Thank you? Uh, you've been

891
00:50:00,760 --> 00:50:03,680
Speaker 1: in an formal advisor to Donald Trump on the economy

892
00:50:03,760 --> 00:50:07,200
Speaker 1: for a long time. I'm looking at Forbes magazine. The

893
00:50:07,239 --> 00:50:10,840
Speaker 1: headline is Larry Cudlow is the best choice for Chairman

894
00:50:11,360 --> 00:50:16,520
Speaker 1: of the Council of Economic Advisors. That that's Forbes Magazine.

895
00:50:16,560 --> 00:50:20,520
Speaker 1: I don't think I've seen that one. Oh you haven't, Linda.

896
00:50:20,560 --> 00:50:29,720
Speaker 1: Where is this from? By David Benson Boson Larry Cudlow

897
00:50:29,800 --> 00:50:33,000
Speaker 1: is the best choice for chairman of Council of Economic Advisors.

898
00:50:33,680 --> 00:50:36,359
Speaker 1: Someone will send it to me. I appreciate that. It's

899
00:50:36,520 --> 00:50:39,359
Speaker 1: very kind. I mean, this is this is not from

900
00:50:39,400 --> 00:50:43,879
Speaker 1: People magazine, This is from Forbes. This is pretty good. Uh. Listen,

901
00:50:43,880 --> 00:50:46,040
Speaker 1: a lot of people feel that way. Uh. And then

902
00:50:46,040 --> 00:50:50,239
Speaker 1: he writes about you know, whenever Trump, uh, the Trump

903
00:50:50,360 --> 00:50:53,160
Speaker 1: organ or they're talking about anybody, they come up with

904
00:50:53,200 --> 00:50:55,560
Speaker 1: these fake news stories that mean nothing, and they mentioned

905
00:50:55,600 --> 00:50:58,600
Speaker 1: the article or but it doesn't have a PhD. You know,

906
00:50:58,640 --> 00:51:01,359
Speaker 1: I always find if somebody is a PhD, you better

907
00:51:01,360 --> 00:51:05,960
Speaker 1: go get somebody else. Well, look, I have nothing against

908
00:51:06,040 --> 00:51:08,960
Speaker 1: PhD no, but if you want an economist with a PhD,

909
00:51:09,120 --> 00:51:11,360
Speaker 1: you end up with like Nuttie, Paul Krugman or something.

910
00:51:11,680 --> 00:51:15,160
Speaker 1: That's true. It's just, um, you know, some of these

911
00:51:15,200 --> 00:51:18,959
Speaker 1: attacks them. First of all, no one's I have no job,

912
00:51:19,120 --> 00:51:22,160
Speaker 1: no one's offered me anything, and I can't comment on

913
00:51:22,200 --> 00:51:25,759
Speaker 1: any of that. But all these people are kind of

914
00:51:25,800 --> 00:51:29,920
Speaker 1: coming at me because I don't have a PhD in economics. Um,

915
00:51:29,960 --> 00:51:36,080
Speaker 1: it's just really ideological philosophical dispute. I mean, heck, as

916
00:51:36,080 --> 00:51:39,040
Speaker 1: you said, I've been the chief economist of some very

917
00:51:39,120 --> 00:51:43,279
Speaker 1: large Wall Street firms, bear Stearns and pain Weatherer. I

918
00:51:43,400 --> 00:51:46,560
Speaker 1: was the chief economist of Reagan's Budget Bureau, the Office

919
00:51:46,560 --> 00:51:49,839
Speaker 1: of Management Budget I would call I would call these qualifications.

920
00:51:49,920 --> 00:51:53,840
Speaker 1: That's qualifications. I also worked and really learned to be

921
00:51:53,920 --> 00:51:56,440
Speaker 1: a work of the economist at the Federal Reserve Bank

922
00:51:56,480 --> 00:52:00,160
Speaker 1: of New York at the beginning of my career. And

923
00:52:00,200 --> 00:52:03,080
Speaker 1: of course I've been covering the economic speak for CNBC

924
00:52:03,280 --> 00:52:07,000
Speaker 1: and for radio for many many years. I'm not a guy.

925
00:52:07,080 --> 00:52:10,000
Speaker 1: I don't toot my own horn. I just think that,

926
00:52:10,120 --> 00:52:11,840
Speaker 1: you know, in this case, these are really kind of

927
00:52:11,920 --> 00:52:15,839
Speaker 1: cheap shots. And uh, if people have a philosophical disagreement

928
00:52:16,160 --> 00:52:19,680
Speaker 1: on supply side tax cuts or free markets, fine, let's

929
00:52:19,880 --> 00:52:24,279
Speaker 1: discuss that. But don't tell me I don't have any qualifications, Uh,

930
00:52:24,320 --> 00:52:27,120
Speaker 1: to help Mr Trump in the economics area. Don't tell

931
00:52:27,160 --> 00:52:29,600
Speaker 1: me that. Yeah. Also, let me read the headline again

932
00:52:29,600 --> 00:52:32,560
Speaker 1: in Forms magazine, Larry Cudlow is the best choice for

933
00:52:32,640 --> 00:52:37,520
Speaker 1: Chairman of Council of Economic Advisors. Uh. Pretty impressive. So

934
00:52:37,840 --> 00:52:39,800
Speaker 1: that's like saying that Sean Hannity really can't do a

935
00:52:39,880 --> 00:52:41,880
Speaker 1: radio show. It doesn't have a doesn't have a PhD

936
00:52:41,880 --> 00:52:47,000
Speaker 1: in radio. Well, thank you, I appreciate that mark, I

937
00:52:47,000 --> 00:52:49,600
Speaker 1: really do. Hey, let me just ask you. The market

938
00:52:49,640 --> 00:52:54,759
Speaker 1: did not make came pretty close. What does all this mean. Well,

939
00:52:55,040 --> 00:52:57,680
Speaker 1: I mean it's a nice benchmark. Other than that, it

940
00:52:57,719 --> 00:53:01,760
Speaker 1: probably doesn't mean all that much. Um, we're in post

941
00:53:01,800 --> 00:53:04,319
Speaker 1: election bull market. A lot of people call it the

942
00:53:04,320 --> 00:53:08,920
Speaker 1: Trump rally. Um. I think that what the stock market

943
00:53:08,920 --> 00:53:11,680
Speaker 1: has been telling us, you know since November eight says

944
00:53:11,719 --> 00:53:16,080
Speaker 1: that Mr Trump's policies on lower taxes and regulations and

945
00:53:16,880 --> 00:53:22,239
Speaker 1: repealing Obamacare and unshackling energy are really pro growth policies

946
00:53:22,680 --> 00:53:25,360
Speaker 1: that will be great for the economy, great for jobs,

947
00:53:25,400 --> 00:53:28,719
Speaker 1: great for profits, great for business. And I have said

948
00:53:28,760 --> 00:53:33,200
Speaker 1: before Trump is going to end the Obama war against business.

949
00:53:33,480 --> 00:53:37,239
Speaker 1: I mean President Obama, sorry to say, has waged war

950
00:53:37,320 --> 00:53:42,239
Speaker 1: against business and investors. Hillary Clinton ran against businesses and

951
00:53:42,360 --> 00:53:45,279
Speaker 1: investors and successful people. And Trump's gonna put an end

952
00:53:45,320 --> 00:53:48,800
Speaker 1: to that. And I think all those reasons economic growth

953
00:53:48,840 --> 00:53:51,480
Speaker 1: and policies have a lot to do with the late

954
00:53:51,560 --> 00:53:55,040
Speaker 1: year rally in stocks, which I think will continue. They're

955
00:53:55,040 --> 00:53:58,000
Speaker 1: gonna be corrections. There are always five to ten percent pullbacks,

956
00:53:58,000 --> 00:54:01,439
Speaker 1: no question. But in turn to that benchmark, I think

957
00:54:01,440 --> 00:54:04,399
Speaker 1: we'll beat it. Now. Larry Cudler. You're a big part

958
00:54:04,400 --> 00:54:06,880
Speaker 1: of the Reagan administration. People may not remember when Reagan

959
00:54:06,920 --> 00:54:09,200
Speaker 1: got elected, it was a lot of the same thing,

960
00:54:09,280 --> 00:54:11,160
Speaker 1: all these people saying this, this is the worst thing

961
00:54:11,160 --> 00:54:13,840
Speaker 1: that ever happened. Uh, he's gonna be crazy. He's going

962
00:54:13,920 --> 00:54:16,400
Speaker 1: to start a war, He's gonna be the whole country

963
00:54:16,440 --> 00:54:19,680
Speaker 1: is going to be on fire. Uh. All that went

964
00:54:19,719 --> 00:54:24,080
Speaker 1: on during the Reagan first year, not only I mean

965
00:54:25,239 --> 00:54:27,360
Speaker 1: as a guy who came in and I did the

966
00:54:27,400 --> 00:54:31,359
Speaker 1: original numbers in the Reagan transition with my dear friend

967
00:54:31,440 --> 00:54:35,600
Speaker 1: John Rutledge, and we were supply siders and free market guys,

968
00:54:35,600 --> 00:54:39,319
Speaker 1: and we showed that lower tax rates across the board

969
00:54:39,360 --> 00:54:42,680
Speaker 1: with boost the economy. So you know, we were slammed

970
00:54:42,800 --> 00:54:46,080
Speaker 1: left and right, and of course President Reagan was slammed constantly.

971
00:54:46,480 --> 00:54:50,280
Speaker 1: So it is somewhat reminiscent of what's happening with President

972
00:54:50,320 --> 00:54:53,319
Speaker 1: elect Trump. Um. All I'll say is you go back

973
00:54:53,360 --> 00:54:55,440
Speaker 1: in history. I got a book out about this with

974
00:54:55,480 --> 00:55:00,120
Speaker 1: Bryan Dmichevik called JFK and the Reagan Revolution. JFK was

975
00:55:00,200 --> 00:55:03,719
Speaker 1: the first supply sider and it worked. Economy grew at

976
00:55:03,760 --> 00:55:07,080
Speaker 1: five percent in the nineteen sixties and Ronald Reagan was

977
00:55:07,120 --> 00:55:10,800
Speaker 1: the second. He duplicated JFK. Uh, and he gave JFK

978
00:55:10,960 --> 00:55:14,600
Speaker 1: credit the Democrat and Reagan. It worked. Economy has grown

979
00:55:14,680 --> 00:55:18,040
Speaker 1: nearly five in the eighties and the nineties for that matter.

980
00:55:18,560 --> 00:55:22,239
Speaker 1: So for the naysayers out there, hey, look, let's take

981
00:55:22,280 --> 00:55:25,000
Speaker 1: a look at history. When we've tried these things, it

982
00:55:25,080 --> 00:55:28,239
Speaker 1: has worked. Yeah. Now, this is is a fascinating book.

983
00:55:28,239 --> 00:55:31,000
Speaker 1: You should read this book because when Reagan came up

984
00:55:31,040 --> 00:55:34,960
Speaker 1: with these policies, everybody though New York Times, everybody reading

985
00:55:35,040 --> 00:55:39,080
Speaker 1: this is crazy, help, what a terrible policy, not realizing

986
00:55:39,200 --> 00:55:42,080
Speaker 1: JFK had started this. And Larry Cutler has written a

987
00:55:42,120 --> 00:55:45,279
Speaker 1: book called JFK and the Reagan Revolution will show you

988
00:55:45,320 --> 00:55:49,200
Speaker 1: how uh these are really democratic ideas, uh, the old

989
00:55:49,280 --> 00:55:52,279
Speaker 1: kind of democrats that the Reagan adopted and made work.

990
00:55:52,320 --> 00:55:54,239
Speaker 1: It's a and I'm glad you wrote that book. Is

991
00:55:54,280 --> 00:55:57,560
Speaker 1: people don't get that connection. It's really uh. It was

992
00:55:57,600 --> 00:56:00,000
Speaker 1: a lot of fun, and my co authors are brilliant

993
00:56:00,080 --> 00:56:03,120
Speaker 1: guy Brian Dmitevik. But it's a story that's never really

994
00:56:03,160 --> 00:56:06,319
Speaker 1: been told. I mean, a handful of us knew about this,

995
00:56:07,360 --> 00:56:09,719
Speaker 1: but it's never been told to the general public. And

996
00:56:09,760 --> 00:56:12,799
Speaker 1: that's why we enjoyed it in the books, selling very well,

997
00:56:13,680 --> 00:56:21,680
Speaker 1: thanks to everyone. And JFK turned around actually Eisenhower policies.

998
00:56:21,800 --> 00:56:25,160
Speaker 1: I mean, Republicans were against tax cuts. But interestingly, a

999
00:56:25,280 --> 00:56:31,000
Speaker 1: Republican Treasury secretary named Douglas Dillon advised JFK to ignore

1000
00:56:31,160 --> 00:56:35,239
Speaker 1: his Council of Economic Advisors, which wanted big spending programs.

1001
00:56:35,560 --> 00:56:38,320
Speaker 1: They put that in. It didn't work. He said, try

1002
00:56:38,360 --> 00:56:41,239
Speaker 1: lowering tax rates. The top rate in those days was

1003
00:56:43,120 --> 00:56:45,920
Speaker 1: and he said, it will create incentives for everybody to

1004
00:56:45,960 --> 00:56:49,440
Speaker 1: grow and march towards full employment. And Kennedy did it

1005
00:56:49,960 --> 00:56:52,880
Speaker 1: and it did work. Now, you know, tragically assassinated in

1006
00:56:53,000 --> 00:56:57,040
Speaker 1: late sixty three. Um, he passed the House and before

1007
00:56:57,040 --> 00:56:59,680
Speaker 1: he was assassinated. Then LBJ finished it off in six

1008
00:56:59,760 --> 00:57:03,480
Speaker 1: early sixty four, and it worked under Ronald Reagan. So

1009
00:57:03,800 --> 00:57:07,560
Speaker 1: Democrats have written JFK out of their history. It's a

1010
00:57:07,600 --> 00:57:11,320
Speaker 1: weird thing. There's no reason why Democrats can't be pro growth,

1011
00:57:11,560 --> 00:57:16,520
Speaker 1: pro success, pro incentives. You know, one of their greatest figures,

1012
00:57:16,600 --> 00:57:19,320
Speaker 1: John F. Kennedy, did it and it worked. Yeah, it's

1013
00:57:19,320 --> 00:57:22,400
Speaker 1: a great book, JFK and the Reagan Revolution. Uh, and

1014
00:57:22,480 --> 00:57:25,120
Speaker 1: you love it now. The way that Donald Trump picked

1015
00:57:25,200 --> 00:57:29,040
Speaker 1: up the phone, called the chairman of Carrier, let's work something.

1016
00:57:29,320 --> 00:57:31,520
Speaker 1: Wasn't Kennedy a lot like that. He would just pick

1017
00:57:31,560 --> 00:57:33,280
Speaker 1: up the phone and call the CEO, come to the

1018
00:57:33,280 --> 00:57:36,080
Speaker 1: White House, let's figure this out. That's correct, that's correct.

1019
00:57:36,280 --> 00:57:39,640
Speaker 1: Um You know, with mixed results on the whole, he

1020
00:57:39,720 --> 00:57:43,080
Speaker 1: did pretty well. Um U steal was one of the

1021
00:57:43,120 --> 00:57:47,440
Speaker 1: big cases at that time. It's funny Kennedy did this

1022
00:57:48,080 --> 00:57:51,480
Speaker 1: to try to persuade people in business to work with

1023
00:57:51,560 --> 00:57:55,080
Speaker 1: him that his plans will work. And Kennedy, by the way,

1024
00:57:55,120 --> 00:57:59,400
Speaker 1: wanted a strong dollar to keep inflation out, and he

1025
00:57:59,440 --> 00:58:03,280
Speaker 1: wanted lower tax rates to promote economic growth. And I

1026
00:58:03,400 --> 00:58:07,360
Speaker 1: see this with Mr Trump. It's very interesting. He's calling Carrier,

1027
00:58:07,400 --> 00:58:10,280
Speaker 1: and he's called some other firms. He's basically saying, look,

1028
00:58:10,760 --> 00:58:14,000
Speaker 1: don't jump ship now, don't move out of the country now,

1029
00:58:14,400 --> 00:58:17,080
Speaker 1: because in a matter of weeks and months, we're gonna

1030
00:58:17,120 --> 00:58:20,720
Speaker 1: put together a business tax cut for large and small

1031
00:58:20,760 --> 00:58:23,720
Speaker 1: businesses that will keep you here. You won't want to

1032
00:58:23,760 --> 00:58:26,320
Speaker 1: leave America. You want to be here in the US

1033
00:58:26,640 --> 00:58:31,400
Speaker 1: because we'll have the most pro business, hospitable investment environment,

1034
00:58:31,800 --> 00:58:35,920
Speaker 1: and interesting market. Another point, if you lower business taxes

1035
00:58:35,960 --> 00:58:39,920
Speaker 1: and again both large and small companies. The biggest beneficiary

1036
00:58:39,960 --> 00:58:43,000
Speaker 1: of Trump's plan would be not the rich. It would

1037
00:58:43,000 --> 00:58:47,920
Speaker 1: be middle income wage earners who would get higher wages, salaries,

1038
00:58:47,920 --> 00:58:51,840
Speaker 1: and benefits if companies are more profitable. And I think

1039
00:58:51,920 --> 00:58:54,760
Speaker 1: Trump is just trying to explain to these business don't

1040
00:58:54,840 --> 00:58:57,600
Speaker 1: jump now, stay with me, because you're going to see

1041
00:58:57,600 --> 00:59:00,360
Speaker 1: a good policy. And I think he's absolutely right. He's

1042
00:59:00,400 --> 00:59:03,800
Speaker 1: dead right to do it. Yeah. Now, but what about manufacturing. Obviously,

1043
00:59:03,880 --> 00:59:06,520
Speaker 1: if you can pay people just pennies an hour in

1044
00:59:06,600 --> 00:59:09,760
Speaker 1: another country, how do you stop a business from taking

1045
00:59:09,760 --> 00:59:13,680
Speaker 1: advantage of that. Well, that's true, it's a global, globally

1046
00:59:13,680 --> 00:59:18,479
Speaker 1: competitive world. But think it's you know, labor wages. First

1047
00:59:18,480 --> 00:59:21,640
Speaker 1: of all, in China are are great competitor. Their wages

1048
00:59:21,640 --> 00:59:25,200
Speaker 1: have risen quite substantially. I mean they're they're listening workers

1049
00:59:25,800 --> 00:59:29,840
Speaker 1: to Bangladesh and Vietnam. So it's some sense the same problem.

1050
00:59:29,880 --> 00:59:33,480
Speaker 1: But it's not just that. It's also, um, we are

1051
00:59:33,560 --> 00:59:35,720
Speaker 1: under the rule of law. United States is a great

1052
00:59:35,800 --> 00:59:38,240
Speaker 1: place to do business because we have a court system,

1053
00:59:38,280 --> 00:59:41,320
Speaker 1: we have the rule law. Private companies, um, you know,

1054
00:59:41,400 --> 00:59:44,800
Speaker 1: can get remedies. Uh. Secondly, we have very low interest

1055
00:59:44,880 --> 00:59:48,800
Speaker 1: rates Third, we're gonna have very low tax rates, among

1056
00:59:48,840 --> 00:59:52,400
Speaker 1: the lowest in the world. Fourth, we have an improving

1057
00:59:52,520 --> 00:59:58,160
Speaker 1: education system, great universities. Uh. And also with regard to infrastructure,

1058
00:59:58,880 --> 01:00:02,240
Speaker 1: one of Trump's campaign pludges is to improve our infrastructure

1059
01:00:02,280 --> 01:00:05,600
Speaker 1: to make things better for business. So it's like, if

1060
01:00:05,600 --> 01:00:09,200
Speaker 1: you take the whole package together, Uh, US is going

1061
01:00:09,240 --> 01:00:12,080
Speaker 1: to be a great deal. And as I said, our

1062
01:00:12,120 --> 01:00:14,760
Speaker 1: wages are going to go up over time because of

1063
01:00:14,800 --> 01:00:17,680
Speaker 1: these tax cuts. But why not do business in the

1064
01:00:17,720 --> 01:00:21,560
Speaker 1: place that has all these advantages? Yeah, Well, everybody watched

1065
01:00:21,600 --> 01:00:24,120
Speaker 1: Larry Cutler and CNBC and get his book. It's a

1066
01:00:24,120 --> 01:00:27,400
Speaker 1: really good book, JFK and the Reagan Revolution. If you

1067
01:00:27,440 --> 01:00:29,920
Speaker 1: didn't know that a lot of the Reaganomics came from JFK,

1068
01:00:30,320 --> 01:00:34,600
Speaker 1: it will surprise you. Uh. And it's it's a wonderful book.

1069
01:00:34,640 --> 01:00:37,840
Speaker 1: And let me read this headline again Forbes magazine, Larry

1070
01:00:37,880 --> 01:00:40,320
Speaker 1: Cudlow is the best choice for chairman of Council of

1071
01:00:40,360 --> 01:00:45,560
Speaker 1: Economic Advisors. That's pretty good. Of course, you're not gonna

1072
01:00:45,560 --> 01:00:50,840
Speaker 1: give up all this broadcasting fame and glory, are are you? Well? Mark,

1073
01:00:51,880 --> 01:00:56,240
Speaker 1: You got to think about it. The Lord will direct me. Okay, Well,

1074
01:00:56,240 --> 01:00:59,560
Speaker 1: get Larry Cutler's book JFK and the Reagan Revolution. Thank you, Mark,

1075
01:00:59,640 --> 01:01:04,400
Speaker 1: you'reful truly. Larry Caudlow, thanks for being with us. Take care. Uh,

1076
01:01:04,720 --> 01:01:07,240
Speaker 1: we'll take some calls in just a moment. Eight hundred three,

1077
01:01:07,840 --> 01:01:10,919
Speaker 1: eight hundred nine four one. Sean is the number. Eight

1078
01:01:10,960 --> 01:01:14,480
Speaker 1: hundred nine one. Sean, Hey, at the top of the hour,

1079
01:01:14,600 --> 01:01:17,880
Speaker 1: and Coulter will be with us. It's Mark Simone here

1080
01:01:17,960 --> 01:01:24,320
Speaker 1: for Sean Hannity. Story. This radio show is not approved

1081
01:01:24,480 --> 01:01:28,120
Speaker 1: by the Obama administration. We need to stop it, and

1082
01:01:28,200 --> 01:01:30,960
Speaker 1: we need to stop it as soon as possible. Sean

1083
01:01:31,120 --> 01:01:41,880
Speaker 1: Hannity will be right back. Hey, welcome back. It's the

1084
01:01:41,920 --> 01:01:45,160
Speaker 1: Sean Hannity Show. Mark Simone here for Sean. Let's take

1085
01:01:45,160 --> 01:01:48,800
Speaker 1: a call or too. Let's go to Victor, Silver Springs, Maryland. Hey, Victor,

1086
01:01:48,880 --> 01:01:52,320
Speaker 1: how you doing. I'm doing fine. One of the things

1087
01:01:52,400 --> 01:01:55,480
Speaker 1: I really loved about Trump was when he did his

1088
01:01:55,680 --> 01:01:59,720
Speaker 1: rallies and thank you poors. He would go off on

1089
01:01:59,800 --> 01:02:03,320
Speaker 1: a engine and tell stories. Yeah, and I was telling

1090
01:02:03,360 --> 01:02:08,040
Speaker 1: my girlfriend that he reminded me a lot of Jean Shepherd,

1091
01:02:08,120 --> 01:02:11,080
Speaker 1: who used to be on w R. Oh, that's our

1092
01:02:11,080 --> 01:02:13,720
Speaker 1: big flagship in New York. W R. But Jean Shepard

1093
01:02:13,760 --> 01:02:17,680
Speaker 1: was on This is like who remembers this? Yeah, it's

1094
01:02:17,720 --> 01:02:21,880
Speaker 1: like fifties and sixties. So I told my girlfriend. She

1095
01:02:21,960 --> 01:02:24,040
Speaker 1: didn't know who he was, so I said, well, let's

1096
01:02:24,040 --> 01:02:26,160
Speaker 1: look him up. Wow, she might be under seventy. How

1097
01:02:26,160 --> 01:02:29,720
Speaker 1: would she know. She went on YouTube and we found

1098
01:02:29,760 --> 01:02:32,640
Speaker 1: some stories and she started laughing at a couple of

1099
01:02:32,640 --> 01:02:35,560
Speaker 1: the stories we listened to. Yeah, well you know how

1100
01:02:35,600 --> 01:02:39,640
Speaker 1: to liven up a relationship there, little Jean Shepherd. Yep,

1101
01:02:40,120 --> 01:02:42,560
Speaker 1: And I let the National Library for the Blind can

1102
01:02:42,640 --> 01:02:45,160
Speaker 1: find that that book of his, and god we trust

1103
01:02:45,240 --> 01:02:47,480
Speaker 1: all others pay cash. Oh yeah, he did write a

1104
01:02:47,560 --> 01:02:49,880
Speaker 1: very good book. Yeah, he read the Book for the

1105
01:02:50,080 --> 01:02:53,080
Speaker 1: for the Blind. Oh are you blind? Ye? Okay, so

1106
01:02:53,280 --> 01:02:55,640
Speaker 1: I gotta stop picking on you. No, but that you listen,

1107
01:02:55,920 --> 01:02:59,360
Speaker 1: it's somebody like you who really appreciates radio. Right. Yeah,

1108
01:02:59,440 --> 01:03:01,880
Speaker 1: and Shepd. You know you must have lived in New

1109
01:03:01,920 --> 01:03:04,280
Speaker 1: York back then. No. I lived in New Jersey for

1110
01:03:04,320 --> 01:03:06,520
Speaker 1: a while, but I could get w when I moved

1111
01:03:06,560 --> 01:03:09,120
Speaker 1: down here. Yeah. W R is our flagship in New York,

1112
01:03:09,240 --> 01:03:12,160
Speaker 1: huge signal. And Jean Shephard he was pretty good. He

1113
01:03:12,200 --> 01:03:15,240
Speaker 1: was an amazing guy. You couldn't do that nowadays, but

1114
01:03:15,280 --> 01:03:21,840
Speaker 1: no considered politically incorrect. Now, yeah, alright, excellent call, Victor,

1115
01:03:22,000 --> 01:03:25,000
Speaker 1: thanks for calling, he said, nobody could relate to this today.

1116
01:03:25,200 --> 01:03:26,920
Speaker 1: There was a guy on the radio this is like

1117
01:03:26,920 --> 01:03:29,840
Speaker 1: the fifties and sixties, and his name was Jean Shepherd.

1118
01:03:29,840 --> 01:03:32,720
Speaker 1: He's the guy that wrote that Christmas movie what's it called?

1119
01:03:32,760 --> 01:03:35,160
Speaker 1: You know about the boy with the red flyer sled

1120
01:03:36,760 --> 01:03:39,080
Speaker 1: Christmas story? That was his That was his best story.

1121
01:03:39,080 --> 01:03:40,760
Speaker 1: It was about him. But he would come on the

1122
01:03:40,840 --> 01:03:42,920
Speaker 1: radio every night for an hour, eleven o'clock at night,

1123
01:03:42,920 --> 01:03:45,479
Speaker 1: he would tell one story about his childhood that would

1124
01:03:45,520 --> 01:03:50,440
Speaker 1: last an entire hour. And he would tell him like this,

1125
01:03:50,920 --> 01:03:53,160
Speaker 1: and he would start the story and a little music

1126
01:03:53,160 --> 01:03:56,120
Speaker 1: would play under and for an entire hour we tell

1127
01:03:56,160 --> 01:03:59,800
Speaker 1: this one little anecdote and people would sit there riveted.

1128
01:04:00,120 --> 01:04:02,360
Speaker 1: Now it's two thousand sixteen. If you don't get to

1129
01:04:02,400 --> 01:04:05,440
Speaker 1: the point in like a half a millisecond, everybody switching

1130
01:04:05,520 --> 01:04:07,920
Speaker 1: the dial. This guy, as big as he was, he

1131
01:04:08,440 --> 01:04:10,160
Speaker 1: is his victor. A lot of people like him. A

1132
01:04:10,240 --> 01:04:13,120
Speaker 1: hundred years later, they remember him, they revere him. If

1133
01:04:13,200 --> 01:04:15,600
Speaker 1: you can't get to the point in four seconds, now,

1134
01:04:16,000 --> 01:04:18,800
Speaker 1: everybody shut you off. It's a whole different world. So

1135
01:04:19,800 --> 01:04:21,800
Speaker 1: I guess I guess it was better back now it's

1136
01:04:21,840 --> 01:04:24,000
Speaker 1: better today. Look at this phone. I got everything in

1137
01:04:24,000 --> 01:04:26,560
Speaker 1: the world. I can watch TV, watch movies, read books,

1138
01:04:26,760 --> 01:04:30,320
Speaker 1: do anything. It's quicker. It's better today. Hey, speaking to which,

1139
01:04:30,360 --> 01:04:32,840
Speaker 1: I want you once again to go to my Twitter

1140
01:04:32,840 --> 01:04:37,280
Speaker 1: feed because I've I retweeted my own tweet. Facebook is

1141
01:04:37,280 --> 01:04:40,040
Speaker 1: gonna use Snopes for fact checking, so I put it

1142
01:04:40,080 --> 01:04:43,320
Speaker 1: now at the top of my Twitter feed. Snopes is

1143
01:04:43,400 --> 01:04:50,400
Speaker 1: not anything real. It's an amateur, homemade, ridiculously stupid website.

1144
01:04:50,440 --> 01:04:53,280
Speaker 1: These two slobs run it. I have a picture of

1145
01:04:53,360 --> 01:04:56,400
Speaker 1: them up on Twitter, Mark Simone in White Twitter. Look

1146
01:04:56,440 --> 01:04:59,880
Speaker 1: at their picture. They're sitting on their Rosanne show couch.

1147
01:05:00,720 --> 01:05:04,400
Speaker 1: That filthy couch is the world headquarters of Snopes, and

1148
01:05:04,440 --> 01:05:06,880
Speaker 1: they're silly looking. Cat is with it. Just go look

1149
01:05:06,920 --> 01:05:10,280
Speaker 1: at that Mark Simone and White Twitter. Look at that picture.

1150
01:05:10,880 --> 01:05:13,800
Speaker 1: Always picture that when you someone tells you to check

1151
01:05:13,880 --> 01:05:17,960
Speaker 1: Snopes and this is ridiculous that Facebook is gonna let

1152
01:05:18,000 --> 01:05:21,600
Speaker 1: them decide. These two slobs in California will decide what's

1153
01:05:21,640 --> 01:05:24,120
Speaker 1: fake news. I don't think so. Hey, when we come

1154
01:05:24,160 --> 01:05:26,880
Speaker 1: back and Culter will be with us. It's Mark Simone

1155
01:05:26,920 --> 01:05:35,600
Speaker 1: for Sean Hannity. Hey, welcome back. It's Mark Simone here

1156
01:05:35,720 --> 01:05:38,560
Speaker 1: for Sean Hannity with us right now. And Coulter the

1157
01:05:38,680 --> 01:05:42,560
Speaker 1: great bestselling author columnist. You know, everybody's gonna write a

1158
01:05:42,560 --> 01:05:44,880
Speaker 1: Trump book now, but she's got the book. It's called

1159
01:05:44,920 --> 01:05:48,480
Speaker 1: in Trump We Trust. That's already a big best seller.

1160
01:05:48,600 --> 01:05:50,680
Speaker 1: You can get it Amazon, or can go to and

1161
01:05:50,800 --> 01:05:53,000
Speaker 1: Culter dot com. You can get it there. You can

1162
01:05:53,080 --> 01:05:56,440
Speaker 1: get a column there and culture. How you doing fantastic?

1163
01:05:56,480 --> 01:05:58,760
Speaker 1: How are you, Mark Simon? Good? I don't know how

1164
01:05:58,800 --> 01:06:01,840
Speaker 1: you can be fantastic when our democracy has been threatened

1165
01:06:01,880 --> 01:06:08,240
Speaker 1: by this Russian hacking the whole of life, and by

1166
01:06:08,280 --> 01:06:14,000
Speaker 1: a man called Donald J. Trump literally Hitler. So uh,

1167
01:06:14,200 --> 01:06:17,000
Speaker 1: when they say the election was hacked, what does that mean?

1168
01:06:17,200 --> 01:06:19,640
Speaker 1: How could it means? We found out the truth about

1169
01:06:19,640 --> 01:06:25,280
Speaker 1: the Democrats. But it's interesting how they never do uh,

1170
01:06:25,400 --> 01:06:29,200
Speaker 1: they never contest the content of the wicked leaks. But

1171
01:06:29,280 --> 01:06:33,240
Speaker 1: that's what it's about that we found out. Um. You know,

1172
01:06:33,320 --> 01:06:38,360
Speaker 1: for example, some of the things Hillary said about about

1173
01:06:38,560 --> 01:06:42,600
Speaker 1: saying one thing to Goldman Sachs bankers and another two

1174
01:06:42,960 --> 01:06:46,880
Speaker 1: to the public. Um. And Donna Brazil giving her questions

1175
01:06:46,960 --> 01:06:50,600
Speaker 1: to debate questions. Oh and how um the Clintons were

1176
01:06:50,600 --> 01:06:53,240
Speaker 1: conspiring with the d n C, which is supposed to

1177
01:06:53,280 --> 01:06:55,720
Speaker 1: be neutral. It actually neither the r n C or

1178
01:06:55,760 --> 01:06:58,720
Speaker 1: the d n C were neutral in in this year's election.

1179
01:06:59,080 --> 01:07:03,120
Speaker 1: Shows you how furious to American public is with both

1180
01:07:03,120 --> 01:07:07,160
Speaker 1: political parties and official Washington That Bernie Sanders sort of

1181
01:07:07,880 --> 01:07:13,160
Speaker 1: nuts socialists from Vermont nearly beat the Clinton machine and

1182
01:07:13,280 --> 01:07:14,920
Speaker 1: the d n C. But that's part of what came

1183
01:07:14,920 --> 01:07:17,520
Speaker 1: out in the and then in the wiggle league. And

1184
01:07:17,720 --> 01:07:22,000
Speaker 1: also Trump didn't beat uh seventeen competitors. You know, the

1185
01:07:22,040 --> 01:07:26,400
Speaker 1: only rock solid evidence of tampering was Debbie Washerman. We

1186
01:07:26,480 --> 01:07:30,000
Speaker 1: know for a fact she rigged the primaries, and not

1187
01:07:30,240 --> 01:07:32,520
Speaker 1: for her. Who knows, they might have had a really

1188
01:07:32,520 --> 01:07:36,040
Speaker 1: strong candidate and they might have won. I was just

1189
01:07:36,200 --> 01:07:38,000
Speaker 1: funny you say that. I was just talking to someone

1190
01:07:38,040 --> 01:07:40,880
Speaker 1: about this last night. I don't think. I mean, you

1191
01:07:40,880 --> 01:07:43,640
Speaker 1: can't rerun history. I don't think anybody could have could

1192
01:07:43,640 --> 01:07:47,680
Speaker 1: have beaten Trump. He is the first presidential candidate uh

1193
01:07:47,880 --> 01:07:51,560
Speaker 1: in in in all of US history, the only presidential

1194
01:07:51,600 --> 01:07:55,080
Speaker 1: candidate and the only presidential candidate who would say that

1195
01:07:55,120 --> 01:07:57,280
Speaker 1: he would build a wall on the border he's the

1196
01:07:57,320 --> 01:08:00,520
Speaker 1: only presidential candidate who did or would say he would

1197
01:08:00,560 --> 01:08:04,280
Speaker 1: impose a Muslim van. Uh. He's the only presidential candidate

1198
01:08:04,400 --> 01:08:06,760
Speaker 1: who in a million years would say he will deport

1199
01:08:06,880 --> 01:08:11,240
Speaker 1: illegal aliens on and he wanted a landside as as.

1200
01:08:11,280 --> 01:08:14,680
Speaker 1: I think we see what the American people were were

1201
01:08:14,760 --> 01:08:17,360
Speaker 1: thinking about when you look at what's going on right

1202
01:08:17,360 --> 01:08:22,680
Speaker 1: now in in Western Europe. I mean besides San Bernardino. Um,

1203
01:08:22,720 --> 01:08:26,599
Speaker 1: you know Boston Marathon, the game Nightclub nine eleven. Um.

1204
01:08:26,640 --> 01:08:31,280
Speaker 1: I think everyone remembers that at the time that Muslim

1205
01:08:31,320 --> 01:08:35,400
Speaker 1: ban announced one year ago on my birthday, best birthday

1206
01:08:35,439 --> 01:08:40,280
Speaker 1: gift ever, uh hembers denounced hysterically. I mean that was

1207
01:08:40,280 --> 01:08:43,519
Speaker 1: when the Hitler stuff really started in earnest Um. He

1208
01:08:43,560 --> 01:08:46,599
Speaker 1: was denounced by rhymes previous who's now picking Trump's cabinet

1209
01:08:46,640 --> 01:08:49,400
Speaker 1: for him. Um, So you can't imagine how happy I

1210
01:08:49,439 --> 01:08:54,000
Speaker 1: am about that. Um, thanks previous, Mitch McConnell, Um, all

1211
01:08:54,080 --> 01:08:58,240
Speaker 1: of his competitors, Marco Rubio, of course, Paul Ryan Um

1212
01:08:58,360 --> 01:09:02,080
Speaker 1: denounced high and low and as Poles showed even in

1213
01:09:02,120 --> 01:09:05,480
Speaker 1: the states that that where Trump was losing the primaries,

1214
01:09:05,520 --> 01:09:10,320
Speaker 1: like Wisconsin, in Texas, overwhelming majorities of Republican primary voters

1215
01:09:10,720 --> 01:09:14,760
Speaker 1: told polsters they supported the Muslim ban. And when when

1216
01:09:14,800 --> 01:09:17,760
Speaker 1: you see that se Republican primary voters, you can say

1217
01:09:17,760 --> 01:09:22,479
Speaker 1: that's just Republicans, But those were that's who were willing

1218
01:09:22,560 --> 01:09:25,880
Speaker 1: to tell polsters that they agreed with a position that

1219
01:09:25,960 --> 01:09:30,559
Speaker 1: had been called Hitlerian across the land. Yeah, everybody's been

1220
01:09:30,600 --> 01:09:34,479
Speaker 1: called Hitler except Hitler. That's any don't call Hitler anymore, right,

1221
01:09:34,520 --> 01:09:38,360
Speaker 1: and certainly not Stalin. Yeah, that piker only killed what

1222
01:09:38,520 --> 01:09:40,880
Speaker 1: six times as many people as Hitler. It's so weird

1223
01:09:40,920 --> 01:09:44,080
Speaker 1: how Stalin has just been whitewashed out of history. And

1224
01:09:44,479 --> 01:09:47,519
Speaker 1: a thousand years from now, the only evil person who

1225
01:09:47,560 --> 01:09:51,200
Speaker 1: will have ever lived is Adolf Hitler. Yeah, everybody should

1226
01:09:51,200 --> 01:09:53,400
Speaker 1: read this book in Trump We Trust. And you were

1227
01:09:53,400 --> 01:09:58,000
Speaker 1: writing this all along during the campaign. Uh and you

1228
01:09:58,000 --> 01:10:00,560
Speaker 1: you know, can you let's say somebody had Trump's blueprint

1229
01:10:01,200 --> 01:10:04,160
Speaker 1: and started out like that. It was also he's like you,

1230
01:10:04,240 --> 01:10:06,840
Speaker 1: He like doesn't back down. You know, when it was

1231
01:10:06,880 --> 01:10:10,280
Speaker 1: the John McCain joke, or it was the comment about

1232
01:10:10,280 --> 01:10:13,479
Speaker 1: the gold Star parents, he never backed down. Imagine everybody

1233
01:10:13,520 --> 01:10:16,519
Speaker 1: was yelling him, you've got to apologize. Tonight stuck to

1234
01:10:16,640 --> 01:10:20,639
Speaker 1: his guns and look how it paid off. Yes, look

1235
01:10:20,680 --> 01:10:23,599
Speaker 1: how it paid off, although Michelle Obama does say, well,

1236
01:10:23,680 --> 01:10:26,960
Speaker 1: we've entered a period of hopelessness. The good news is

1237
01:10:27,000 --> 01:10:32,240
Speaker 1: the hopelessness ends on January. Yeah. So, uh, January one

1238
01:10:32,400 --> 01:10:37,040
Speaker 1: is a Saturday, it's an inaugural. Well, no, the Friday

1239
01:10:37,160 --> 01:10:41,120
Speaker 1: is the inauguration, the parade, the ceremony. I guarantee you

1240
01:10:41,200 --> 01:10:44,600
Speaker 1: he shows up for work Saturday morning, day after the inauguration,

1241
01:10:44,960 --> 01:10:48,719
Speaker 1: starts signing executive orders, starts undoing the old executive orders.

1242
01:10:49,280 --> 01:10:51,400
Speaker 1: I think by Saturday at five pm, a lott have

1243
01:10:51,479 --> 01:10:54,439
Speaker 1: gotten done. I agree, And a lot can be done

1244
01:10:54,560 --> 01:10:56,960
Speaker 1: by executive order. I was always sort of annoyed at

1245
01:10:57,080 --> 01:11:00,439
Speaker 1: um the idea that there's anything wrong with executive orders

1246
01:11:00,479 --> 01:11:05,040
Speaker 1: per se. Uh. No, he's the executive if it's within

1247
01:11:05,040 --> 01:11:07,559
Speaker 1: his constitutional authority. And one of the things that was

1248
01:11:07,640 --> 01:11:11,439
Speaker 1: interesting about Trump um either because he's an executive or

1249
01:11:11,920 --> 01:11:14,720
Speaker 1: he is um as. I think it's worth considering at

1250
01:11:14,720 --> 01:11:18,400
Speaker 1: this point, even shrewder than most people realize, is that

1251
01:11:18,439 --> 01:11:22,200
Speaker 1: most of what he talked about doing, uh, most of these,

1252
01:11:22,520 --> 01:11:25,240
Speaker 1: the most important promises he made to the American public

1253
01:11:25,280 --> 01:11:29,759
Speaker 1: are already one within the authority of the executive branch

1254
01:11:30,160 --> 01:11:32,320
Speaker 1: of the President of the United States. The Muslim ban.

1255
01:11:32,439 --> 01:11:35,200
Speaker 1: For example, there's a law on the books stating that

1256
01:11:35,240 --> 01:11:38,120
Speaker 1: the President of the United States may exclude any class

1257
01:11:38,160 --> 01:11:41,160
Speaker 1: of aliens whom he deems detrimental to the interests of

1258
01:11:41,160 --> 01:11:44,679
Speaker 1: the United States. It's already the commander in chief's duty

1259
01:11:44,720 --> 01:11:47,720
Speaker 1: to protect the borders, to defend the borders UM, and

1260
01:11:47,800 --> 01:11:51,240
Speaker 1: the Department of Defenses duty to to build a wall

1261
01:11:51,320 --> 01:11:55,480
Speaker 1: of necessary. The Department Offense, the military has built walls, tourists, canons,

1262
01:11:55,880 --> 01:11:59,240
Speaker 1: Department of Defense. That word defense does not refer to

1263
01:11:59,400 --> 01:12:03,080
Speaker 1: the defense of the little Syrian girl, or the defense

1264
01:12:03,160 --> 01:12:07,120
Speaker 1: of Ukraine's borders or crimea. It refers to the defense

1265
01:12:07,200 --> 01:12:11,640
Speaker 1: of the United States of America. UM. Deporting illegal aliens,

1266
01:12:12,040 --> 01:12:15,920
Speaker 1: any illegal aliens, they're illegal. All of this is within

1267
01:12:16,040 --> 01:12:17,960
Speaker 1: his authorities. So we are finally going to have a

1268
01:12:18,000 --> 01:12:22,240
Speaker 1: president issuing executive orders that are not only constitutional and

1269
01:12:22,360 --> 01:12:25,799
Speaker 1: his constitutional duty to do UM, but that will allow

1270
01:12:25,920 --> 01:12:30,360
Speaker 1: him to fulfill the great majority of his most important

1271
01:12:30,360 --> 01:12:32,960
Speaker 1: promises to the American public. Yeah, you know, and this

1272
01:12:33,040 --> 01:12:35,920
Speaker 1: law has been used. Remember the Iranian pastage crisis. Jimmy

1273
01:12:35,920 --> 01:12:39,000
Speaker 1: Carter band Iranians. He ordered the deportation of all the

1274
01:12:39,000 --> 01:12:42,479
Speaker 1: Iranian students. It's been used many times. Oh yeah, it's

1275
01:12:42,479 --> 01:12:45,080
Speaker 1: been used many times. We'll remember. Um. I think it

1276
01:12:45,120 --> 01:12:49,120
Speaker 1: was in the seventies. Um, Senator Loutenburg had a lot

1277
01:12:50,000 --> 01:12:55,439
Speaker 1: expressly allowing Russian Jews to immigrate here. Um. And you know,

1278
01:12:55,920 --> 01:12:58,800
Speaker 1: Russian Christians weren't very happy about it. Um. But the

1279
01:12:58,840 --> 01:13:02,559
Speaker 1: idea was that Russia and Jews were being were being persecuted. Well,

1280
01:13:02,600 --> 01:13:06,080
Speaker 1: that was discrimination against Christians. Yeah, when you when you

1281
01:13:06,080 --> 01:13:10,559
Speaker 1: read all these comments about his foreign policy, his choices

1282
01:13:10,600 --> 01:13:12,680
Speaker 1: for ambassador in this he's gonna start a war. He's

1283
01:13:12,680 --> 01:13:14,519
Speaker 1: gonna blow up the whole world. He's got to listen

1284
01:13:14,880 --> 01:13:17,920
Speaker 1: to all the State Department people, he's got to consult

1285
01:13:17,960 --> 01:13:21,720
Speaker 1: them on everything. It does sound ridiculous, doesn't it. Well,

1286
01:13:21,760 --> 01:13:26,360
Speaker 1: particularly with Trump, since part of his appeal was, uh

1287
01:13:26,400 --> 01:13:30,280
Speaker 1: that you know, the Bolsheviks seized power in part because

1288
01:13:30,320 --> 01:13:34,559
Speaker 1: they promised the Russian people no more war. America is

1289
01:13:34,640 --> 01:13:38,280
Speaker 1: tired of war. I was the biggest supporter of the

1290
01:13:38,320 --> 01:13:41,360
Speaker 1: Iraq war there was out there. But enough already it

1291
01:13:41,439 --> 01:13:44,320
Speaker 1: didn't work. Um, it's worse than it was than when

1292
01:13:44,360 --> 01:13:47,320
Speaker 1: we went in. But mostly, how about a little mean

1293
01:13:47,400 --> 01:13:51,559
Speaker 1: time for America. Americans have really been suffering, and both

1294
01:13:51,640 --> 01:13:55,320
Speaker 1: political parties are wild to go to war. It's just

1295
01:13:55,400 --> 01:13:58,000
Speaker 1: it's just madness. You know, someone who's who's written a

1296
01:13:58,000 --> 01:14:02,200
Speaker 1: lot about the Cold War, Joe mcarr see Algerias Um,

1297
01:14:02,240 --> 01:14:05,720
Speaker 1: you know, the whole, the whole mine yards. It's it's

1298
01:14:05,880 --> 01:14:08,920
Speaker 1: just amazing to me that the left of the New

1299
01:14:09,040 --> 01:14:11,400
Speaker 1: York Times. No, they were fine with Russia back during

1300
01:14:11,400 --> 01:14:15,320
Speaker 1: the Gulogs, during Stalin's show trials, when Russians were killing

1301
01:14:15,360 --> 01:14:19,280
Speaker 1: Americans in Vietnam. No, it's when they won't let a

1302
01:14:19,360 --> 01:14:24,879
Speaker 1: gay rights parade walk down, marchdown Moscow Moscow Square. Suddenly

1303
01:14:24,920 --> 01:14:27,040
Speaker 1: they're the enemy. Now we've got to go to war

1304
01:14:27,120 --> 01:14:30,559
Speaker 1: with Russia. This this they're sounding like modern day John

1305
01:14:30,600 --> 01:14:34,360
Speaker 1: Bercher's and there's no Soviet Union anymore. Yeah, well they

1306
01:14:34,360 --> 01:14:39,679
Speaker 1: did hack the whole election. I'm so glad the Democrats

1307
01:14:39,720 --> 01:14:42,680
Speaker 1: are being self reflective and really figuring out what they

1308
01:14:42,680 --> 01:14:46,519
Speaker 1: did wrong. Yeah. Hey, you know all these snowflakes, you know,

1309
01:14:46,600 --> 01:14:50,479
Speaker 1: on the college campuses, and all these Democrats whining and

1310
01:14:50,560 --> 01:14:52,960
Speaker 1: crying and their grief counselors, and you know, it's the

1311
01:14:53,000 --> 01:14:56,360
Speaker 1: difference between them and the billionaires like Jeff Bezos. He

1312
01:14:56,439 --> 01:14:58,559
Speaker 1: shows up at Trump Tower last week for a meeting,

1313
01:14:58,720 --> 01:15:02,120
Speaker 1: says he's excited to be there. Carlos Slim went to

1314
01:15:02,200 --> 01:15:04,800
Speaker 1: dinner last night with Donald Trump at mar Lago. One

1315
01:15:04,800 --> 01:15:07,480
Speaker 1: thing about these billionaires they don't wind, they don't cry.

1316
01:15:07,640 --> 01:15:10,800
Speaker 1: They adapt to whatever happens and make the best of it.

1317
01:15:11,240 --> 01:15:14,000
Speaker 1: You're more enthusiastic about all this than I am. I'd

1318
01:15:14,080 --> 01:15:18,519
Speaker 1: say they attempt to co opt and depending on what happens,

1319
01:15:18,640 --> 01:15:21,880
Speaker 1: let's just hope they're not successful. Yeah, what do you

1320
01:15:21,920 --> 01:15:26,360
Speaker 1: think the Clintons are gonna do? You know Bill Clinton

1321
01:15:26,400 --> 01:15:28,120
Speaker 1: can keep himself busy, if you know what I mean.

1322
01:15:29,800 --> 01:15:32,920
Speaker 1: Hillary Clinton has no nothing to go back to, no

1323
01:15:33,080 --> 01:15:34,880
Speaker 1: private life. She's not gonna sit in the couch and

1324
01:15:35,120 --> 01:15:36,720
Speaker 1: watch TV for the rest of her life. What do

1325
01:15:36,760 --> 01:15:40,559
Speaker 1: you think she's plotting? Well, a normal person could find

1326
01:15:40,680 --> 01:15:43,920
Speaker 1: plenty of things to do. But for people who enjoyed

1327
01:15:44,000 --> 01:15:48,120
Speaker 1: bossing other people around um and controlling our lives and

1328
01:15:48,200 --> 01:15:53,000
Speaker 1: imposing ridiculous feminist rules and regulations, yes, it will be tough.

1329
01:15:53,240 --> 01:15:55,280
Speaker 1: I can't tell you how I feel her pain. Mark

1330
01:15:55,840 --> 01:15:59,679
Speaker 1: She's actually it's made a little noise in the lastew

1331
01:15:59,720 --> 01:16:02,839
Speaker 1: days of running in two thousand twenty. Is that even possible?

1332
01:16:02,880 --> 01:16:10,000
Speaker 1: So that's fantastic. No, there, I don't. I mean, the

1333
01:16:10,080 --> 01:16:13,880
Speaker 1: Democrats are behaving after this election exactly the way the

1334
01:16:13,920 --> 01:16:17,200
Speaker 1: Republicans did after two thousand twelve. UM. I mean, I'm

1335
01:16:17,200 --> 01:16:19,320
Speaker 1: not gonna I'm not gonna glow forever. I've said a

1336
01:16:19,360 --> 01:16:22,920
Speaker 1: limit of three years. UM, but I will say, don't

1337
01:16:22,960 --> 01:16:26,920
Speaker 1: get don't get too cocky Republicans. The pendulum swings. And

1338
01:16:26,960 --> 01:16:29,840
Speaker 1: you read these exact same headlines about the Republicans in

1339
01:16:29,880 --> 01:16:33,040
Speaker 1: two thousand eight, um, and again in two thousand twelve.

1340
01:16:33,120 --> 01:16:35,679
Speaker 1: That's say that the end of the Republican Party. Um,

1341
01:16:35,840 --> 01:16:39,200
Speaker 1: the pendulum swings, and and but but but but it's

1342
01:16:39,240 --> 01:16:41,920
Speaker 1: interesting that that you see the exact same thing that

1343
01:16:41,920 --> 01:16:44,240
Speaker 1: happened after two thousand and twelves. Remember the r n C,

1344
01:16:44,840 --> 01:16:48,200
Speaker 1: led by Ryan's previous who is apparently picking Trump's cabinet

1345
01:16:48,200 --> 01:16:53,080
Speaker 1: foreta other than three well one person sessions And I

1346
01:16:53,160 --> 01:16:55,320
Speaker 1: like Tillerston. And that's and that's about the end of

1347
01:16:55,320 --> 01:16:59,800
Speaker 1: the list of the counsel. No, those are the only

1348
01:17:00,000 --> 01:17:03,160
Speaker 1: two that would not have been picked by Jeb exclamation point.

1349
01:17:04,400 --> 01:17:06,120
Speaker 1: Tell me which one would not have been picked by

1350
01:17:06,200 --> 01:17:12,360
Speaker 1: Jeb Exually, I forgot the exclamation point. Remember that, Jem.

1351
01:17:12,680 --> 01:17:14,200
Speaker 1: I have got to do an end of the year

1352
01:17:14,200 --> 01:17:16,960
Speaker 1: review of my of my favorite moments. I already thought

1353
01:17:16,960 --> 01:17:20,639
Speaker 1: of one of them that I had completely forgotten, um,

1354
01:17:20,720 --> 01:17:24,839
Speaker 1: which was when Trump read Lindsey Graham's phone number. Allows.

1355
01:17:24,840 --> 01:17:27,360
Speaker 1: Oh yeah, hey, but your book in Trump We Trust.

1356
01:17:27,400 --> 01:17:29,599
Speaker 1: This is a great book about Trump. You've got to redo.

1357
01:17:29,680 --> 01:17:34,280
Speaker 1: You gotta add two more chapters to it about the snowflakes.

1358
01:17:34,320 --> 01:17:36,120
Speaker 1: Oh wait, I was just making an important point and

1359
01:17:36,200 --> 01:17:41,000
Speaker 1: you distracted. No, it was R. N. C um Ryan's

1360
01:17:41,000 --> 01:17:43,160
Speaker 1: previous paid I think it was twelve million dollars for

1361
01:17:43,200 --> 01:17:47,439
Speaker 1: the autopsy report. Remember the autopsy for twelve million dollars

1362
01:17:47,479 --> 01:17:50,360
Speaker 1: the Republicans came out with they spent six months looking

1363
01:17:50,360 --> 01:17:53,479
Speaker 1: at it and decide we've got to push amnesty, start

1364
01:17:53,520 --> 01:17:57,720
Speaker 1: speaking Spanish, hire more more Hispanics to be our spokesman.

1365
01:17:58,120 --> 01:18:01,080
Speaker 1: And then the guy who comes along and talks about

1366
01:18:01,160 --> 01:18:05,120
Speaker 1: Mexican rapists, the drug cartels, promises to build a wall,

1367
01:18:05,640 --> 01:18:09,439
Speaker 1: wins in a landslide. So I can't say Republicans were

1368
01:18:09,479 --> 01:18:12,879
Speaker 1: any more self reflective. You know, these guys in Washington,

1369
01:18:12,880 --> 01:18:15,320
Speaker 1: they got to get out of Washington and meet some Americans.

1370
01:18:15,760 --> 01:18:18,519
Speaker 1: They're they're lovely people. You should do it sometimes. You know.

1371
01:18:18,560 --> 01:18:20,479
Speaker 1: Trump said he based a lot of his thinking on

1372
01:18:20,600 --> 01:18:23,240
Speaker 1: talk radio, which was really the voice of the people.

1373
01:18:23,400 --> 01:18:27,519
Speaker 1: It wasn't filtered through any elitist. Yes. Well, as you know,

1374
01:18:27,760 --> 01:18:31,479
Speaker 1: I get a lot of speeches. Um. And and of

1375
01:18:31,520 --> 01:18:35,320
Speaker 1: course had written Adios America, which thank god Donald strum

1376
01:18:35,400 --> 01:18:40,040
Speaker 1: bread um And Yeah, immigration is a really big issue.

1377
01:18:40,080 --> 01:18:42,720
Speaker 1: That the strange thing about the immigration issue, and that

1378
01:18:42,880 --> 01:18:45,720
Speaker 1: is the one issue that completely set him apart from

1379
01:18:45,760 --> 01:18:49,360
Speaker 1: anyone else who has running for president in our lifetime

1380
01:18:49,479 --> 01:18:52,719
Speaker 1: certainly and even beyond that. Um. But the thing about

1381
01:18:52,760 --> 01:18:57,400
Speaker 1: immigration is which is why why I I only put

1382
01:18:57,400 --> 01:19:00,400
Speaker 1: it at six that Trump would win the presidency. Democrats

1383
01:19:00,439 --> 01:19:02,720
Speaker 1: could have already wrecked to the country and changed enough

1384
01:19:02,760 --> 01:19:07,280
Speaker 1: demographically that no Republican could win again. As in California,

1385
01:19:07,520 --> 01:19:13,440
Speaker 1: but with immigration, you're either um, it's it's either blissful

1386
01:19:13,520 --> 01:19:16,800
Speaker 1: ignorance or point of no return. So California point of

1387
01:19:16,800 --> 01:19:20,520
Speaker 1: no return. The few remaining Americans who live in California

1388
01:19:20,840 --> 01:19:24,519
Speaker 1: realized that immigration is a really big problem. Um. You know,

1389
01:19:24,560 --> 01:19:29,920
Speaker 1: I think I think Minnesota, that's important on the Great idea. Um,

1390
01:19:30,240 --> 01:19:32,720
Speaker 1: we're too white bread. I know, let's bring in a

1391
01:19:32,800 --> 01:19:36,559
Speaker 1: hundred thousand Somali's. Um, they're discovering the problems with immigration,

1392
01:19:36,600 --> 01:19:40,400
Speaker 1: poor Germany. I think they're discovering the problems with with

1393
01:19:40,640 --> 01:19:44,360
Speaker 1: mass third world immigration these days. Um. But by the

1394
01:19:44,400 --> 01:19:47,200
Speaker 1: time you know what the problems are, it's often too late.

1395
01:19:47,280 --> 01:19:51,320
Speaker 1: We were very lucky. God has given America one more chance.

1396
01:19:51,760 --> 01:19:54,639
Speaker 1: And and oh boy, we better pray that Trump keeps

1397
01:19:54,680 --> 01:19:57,600
Speaker 1: his promises. All right, Well, everybody get and called in

1398
01:19:57,640 --> 01:20:00,800
Speaker 1: Trump we Trust. That's the Trump book, and Trump we Trust.

1399
01:20:00,800 --> 01:20:03,320
Speaker 1: Go to and Culter dot com. You get the book,

1400
01:20:03,360 --> 01:20:05,160
Speaker 1: you can get the column and all that stuff there.

1401
01:20:05,240 --> 01:20:08,120
Speaker 1: And and culture, thanks for being with us. You forgot

1402
01:20:08,120 --> 01:20:14,960
Speaker 1: to say, Mark Simone, Merry Christmas, Merry Christmas, Happy Holidays. Uh,

1403
01:20:15,000 --> 01:20:20,519
Speaker 1: Mary Christmass, that's Christmas. Hey. I'm in the Shawn Hannity studio.

1404
01:20:21,080 --> 01:20:22,680
Speaker 1: If I look out that window, I can see the

1405
01:20:22,720 --> 01:20:26,479
Speaker 1: Rockefeller Center tree. It's Merry Christmas. We'll be back with

1406
01:20:26,720 --> 01:20:29,800
Speaker 1: your calls. Eight hundred nine one. Shawn is the number

1407
01:20:29,800 --> 01:20:36,240
Speaker 1: eight one, Shawn, Mark Simone here for Sean Hannity. Government lies.

1408
01:20:36,800 --> 01:20:43,080
Speaker 1: He's the beacon of truth. This is the Shawn Show. Hey,

1409
01:20:43,120 --> 01:20:45,880
Speaker 1: welcome back. It's the Sean Hannity Show. Mark Simone here

1410
01:20:46,000 --> 01:20:48,280
Speaker 1: for Sean. We got plenty of time. Now we'll take

1411
01:20:48,280 --> 01:20:51,400
Speaker 1: some calls. Eight hundred nine for one. Shawn is the number.

1412
01:20:51,439 --> 01:20:54,599
Speaker 1: Give me a call, eight hundred nine four one, Seawn. Now,

1413
01:20:54,680 --> 01:20:57,680
Speaker 1: yesterday it became official. You know, when you vote on

1414
01:20:57,760 --> 01:21:00,920
Speaker 1: election day, you're voting for your elect to vote in

1415
01:21:00,920 --> 01:21:05,120
Speaker 1: the electoral college. Yesterday was the electoral college vote. Trump

1416
01:21:05,120 --> 01:21:10,240
Speaker 1: wins three four to twenty four. Now those are numbers

1417
01:21:10,240 --> 01:21:12,120
Speaker 1: a little different from what you were expecting. There were

1418
01:21:12,200 --> 01:21:14,800
Speaker 1: some defections. I think seven or eight. Most of the

1419
01:21:14,840 --> 01:21:19,880
Speaker 1: defections were from Hillary Clinton, her electors leaving her. Uh.

1420
01:21:19,920 --> 01:21:25,280
Speaker 1: Colin Powell got like four electoral votes. Colin Powell, who's

1421
01:21:25,320 --> 01:21:27,760
Speaker 1: like a hundred and six now, uh, and have been

1422
01:21:27,800 --> 01:21:30,439
Speaker 1: retired for fifteen years, but he got a few. Way,

1423
01:21:30,439 --> 01:21:33,519
Speaker 1: he's a good guy. I I can understand that Bill

1424
01:21:33,560 --> 01:21:39,000
Speaker 1: Clinton speaking choking the death Bill speaking little last couple

1425
01:21:39,040 --> 01:21:43,280
Speaker 1: of days and actually said, well, you know she was

1426
01:21:43,320 --> 01:21:47,360
Speaker 1: gonna between James Comey and the Russian hacking, and uh,

1427
01:21:48,200 --> 01:21:52,679
Speaker 1: actually women hacking is me right now. But the Russian

1428
01:21:52,720 --> 01:21:56,599
Speaker 1: hacking was really critical in this election. Nobody can still

1429
01:21:56,640 --> 01:21:59,439
Speaker 1: tell me what the hell they hacked? What if you

1430
01:21:59,479 --> 01:22:03,439
Speaker 1: ask any what exactly was hacked? The election? All election? Well?

1431
01:22:03,439 --> 01:22:07,640
Speaker 1: What the election? And it's a threat to our democracy?

1432
01:22:08,000 --> 01:22:10,880
Speaker 1: I don't know. Are they talking about Podesta? Do you

1433
01:22:10,920 --> 01:22:13,280
Speaker 1: honestly know anybody who switched their vote because they read

1434
01:22:13,280 --> 01:22:17,400
Speaker 1: a John Podesta email? Uh? James Comey? Of course that

1435
01:22:17,479 --> 01:22:20,040
Speaker 1: had an effect. But if there was nothing there, there

1436
01:22:20,040 --> 01:22:21,960
Speaker 1: would have been nothing for Comey to talk about. And

1437
01:22:22,000 --> 01:22:23,759
Speaker 1: well let's take a call too. Let's go to Mario

1438
01:22:23,960 --> 01:22:28,000
Speaker 1: in Florida. Mario, welcome to Seawan Andity Show. Hey, Mark,

1439
01:22:28,080 --> 01:22:30,600
Speaker 1: what's going on? Oh? Everything is great? What do you

1440
01:22:30,600 --> 01:22:33,880
Speaker 1: want to say? Hey? Um? I was Warner. Do you

1441
01:22:33,920 --> 01:22:36,120
Speaker 1: think and I know you were talking about it earlier

1442
01:22:36,320 --> 01:22:40,479
Speaker 1: with lobs, Um, do you think that Trump is going

1443
01:22:40,640 --> 01:22:44,400
Speaker 1: to fire Comey? As part and part of the is

1444
01:22:44,439 --> 01:22:47,280
Speaker 1: if he does fire Homey, who do you think will

1445
01:22:47,320 --> 01:22:50,439
Speaker 1: play him? Was? Well, you know you can fire an

1446
01:22:50,479 --> 01:22:52,400
Speaker 1: FBI director. It's a ten year term, but you can

1447
01:22:52,479 --> 01:22:54,160
Speaker 1: fire in the marriways it can be done. You can

1448
01:22:54,200 --> 01:22:57,519
Speaker 1: also call the guy in and knowing Trump, he'll sit

1449
01:22:57,600 --> 01:22:59,720
Speaker 1: the guy down and say, listen, I love you, but

1450
01:22:59,760 --> 01:23:02,920
Speaker 1: you in a mess. You've been a mess. They laid

1451
01:23:02,920 --> 01:23:04,920
Speaker 1: out the whole case, the prosecutor, and then you said,

1452
01:23:04,920 --> 01:23:07,879
Speaker 1: there's no reason the prosecutor you told me no evidence

1453
01:23:07,920 --> 01:23:10,439
Speaker 1: of a hacking. Uh, you talked to Obama. Next thing,

1454
01:23:10,479 --> 01:23:13,120
Speaker 1: he's a hacking. You know what will help you find

1455
01:23:13,160 --> 01:23:17,320
Speaker 1: a job? Just you gotta go. Uh? You could easy

1456
01:23:17,360 --> 01:23:21,240
Speaker 1: to replace a FBI director. Uh. You know, he's very

1457
01:23:21,240 --> 01:23:24,400
Speaker 1: good at going to all the top FBI people and

1458
01:23:24,479 --> 01:23:26,559
Speaker 1: asking them who would be a great director. He'll figure

1459
01:23:26,600 --> 01:23:28,240
Speaker 1: it out real fest. Hey, and you know who would

1460
01:23:28,240 --> 01:23:31,880
Speaker 1: be a great FBI director? Well? What I actually you

1461
01:23:31,920 --> 01:23:36,679
Speaker 1: didn't You didn't say who Rudy Rudy Giuliani. You know. Well,

1462
01:23:36,720 --> 01:23:39,759
Speaker 1: it's funny because I actually did a poll on Twitter,

1463
01:23:40,240 --> 01:23:42,320
Speaker 1: and the only thing I hate about Twitter is that

1464
01:23:42,360 --> 01:23:44,560
Speaker 1: they only gave you four choices for a poll. It

1465
01:23:44,600 --> 01:23:47,880
Speaker 1: should make you like seven, but I chose Um. I

1466
01:23:48,000 --> 01:23:51,880
Speaker 1: put James Calstrom, Uh, the X director of the New

1467
01:23:51,920 --> 01:23:55,719
Speaker 1: York Opery. He's a very good guy who breaks Sheriff Clark,

1468
01:23:56,640 --> 01:23:59,840
Speaker 1: trade Audi and then someone else. All right, this is

1469
01:24:00,120 --> 01:24:03,719
Speaker 1: they only give you four choices. With you with seven choices,

1470
01:24:03,760 --> 01:24:07,160
Speaker 1: we'll be down to Derek Jeter all over the map

1471
01:24:07,160 --> 01:24:09,479
Speaker 1: with these choices. I want to I wanted to actually

1472
01:24:09,520 --> 01:24:12,120
Speaker 1: put Juliani, but I had the poll done. I did

1473
01:24:12,200 --> 01:24:15,200
Speaker 1: the poll after he announced he wanted to withdraw from

1474
01:24:15,200 --> 01:24:20,240
Speaker 1: the cabinet from But so Trey Gudy got Sheriff Clark

1475
01:24:20,280 --> 01:24:23,599
Speaker 1: got thirty eight, James Colform got four percent, and then

1476
01:24:24,080 --> 01:24:26,479
Speaker 1: someone else. I've always found that if you answer any

1477
01:24:26,479 --> 01:24:28,720
Speaker 1: poll on Twitter, you clearly have too much free time

1478
01:24:28,760 --> 01:24:35,920
Speaker 1: on your hands. Yeah, um, I got to break this

1479
01:24:35,960 --> 01:24:39,360
Speaker 1: to you at some time. We have to end the call. Yeah,

1480
01:24:39,640 --> 01:24:41,880
Speaker 1: all right, but you've been a great call, Mario, thanks

1481
01:24:41,920 --> 01:24:46,479
Speaker 1: for checking in with us. Let's go to Brian in Arizona. Hey, Brian,

1482
01:24:46,479 --> 01:24:49,439
Speaker 1: how you doing? Hey, how's it going? Man? Thanks for

1483
01:24:49,479 --> 01:24:53,040
Speaker 1: taking my call, Thanks for making your call. Um. My

1484
01:24:53,160 --> 01:24:57,400
Speaker 1: point is going back to the whole Russia hacking thing. Hey,

1485
01:24:57,520 --> 01:24:59,360
Speaker 1: this is not to be taken lightly. This is a

1486
01:24:59,479 --> 01:25:03,960
Speaker 1: threat to our democracy, this hacking. Yes, it is apparently apparently,

1487
01:25:04,360 --> 01:25:07,719
Speaker 1: But my point is if nothing they did, but if

1488
01:25:08,160 --> 01:25:11,280
Speaker 1: the Russians hacked the election, like you, like you're asking,

1489
01:25:11,479 --> 01:25:15,439
Speaker 1: how would they do that? If they did? Though, my

1490
01:25:15,800 --> 01:25:17,800
Speaker 1: in my opinion, and not a lot of people are

1491
01:25:17,800 --> 01:25:21,200
Speaker 1: talking about, but I find it like I find it

1492
01:25:21,240 --> 01:25:25,080
Speaker 1: fastial man um is it was probably to avoid war

1493
01:25:25,800 --> 01:25:30,120
Speaker 1: because we all know. Let me let me, let's answer

1494
01:25:30,160 --> 01:25:33,599
Speaker 1: me one question. What did they hack? Well, that's my point.

1495
01:25:33,760 --> 01:25:37,080
Speaker 1: I mean, I don't know what they did. In the Kremlin,

1496
01:25:37,080 --> 01:25:39,200
Speaker 1: Putin is saying to somebody, what did we what? What

1497
01:25:39,240 --> 01:25:42,200
Speaker 1: did we hack? Exactly? Nobody knows what that? I mean,

1498
01:25:42,400 --> 01:25:47,840
Speaker 1: what our influence. I love the Henry Kissinger answer and

1499
01:25:47,880 --> 01:25:51,240
Speaker 1: meet the press when they asked me, said they hack everything,

1500
01:25:51,280 --> 01:25:54,880
Speaker 1: We hack everything. Everybody acts, everybody doesn't mean anything. And

1501
01:25:54,960 --> 01:25:56,960
Speaker 1: he actually said, I hope we're hacking them all the

1502
01:25:57,040 --> 01:26:02,559
Speaker 1: time too. Nobody knows what they hacked or uh listen.

1503
01:26:02,560 --> 01:26:07,400
Speaker 1: Podesta has admitted if you ever get these emails, you

1504
01:26:07,439 --> 01:26:09,240
Speaker 1: know we're from your email account, you have to give

1505
01:26:09,280 --> 01:26:11,160
Speaker 1: us here. You have to change your password or your

1506
01:26:13,000 --> 01:26:15,599
Speaker 1: If you're over the age of two, you don't fall

1507
01:26:15,680 --> 01:26:19,320
Speaker 1: for this. However, if you're over the age of seventy,

1508
01:26:19,360 --> 01:26:23,080
Speaker 1: you don't know any better. So Podesta gets one of

1509
01:26:23,120 --> 01:26:26,200
Speaker 1: these phishing spam emails, you know you need to change

1510
01:26:26,200 --> 01:26:30,440
Speaker 1: your password or your your account has been said. Podesta

1511
01:26:30,520 --> 01:26:33,679
Speaker 1: calls the I T guy and the I T guys.

1512
01:26:33,760 --> 01:26:37,760
Speaker 1: It's just to be safety. Better change your password Podesta.

1513
01:26:38,200 --> 01:26:42,519
Speaker 1: This dope thinks that means answer the email and change

1514
01:26:42,560 --> 01:26:46,320
Speaker 1: the password there on this fake phishing spam email. So

1515
01:26:46,640 --> 01:26:48,760
Speaker 1: he goes there and changes his password. That's how he

1516
01:26:48,800 --> 01:26:51,240
Speaker 1: got hacked. The d n C. You know, the FBI

1517
01:26:51,320 --> 01:26:53,360
Speaker 1: did investigate both the r n C and d n

1518
01:26:53,439 --> 01:26:56,160
Speaker 1: C servers. They said there was no evidence of hacking

1519
01:26:56,160 --> 01:26:58,760
Speaker 1: in the r NC and they also said problem with

1520
01:26:58,760 --> 01:27:01,280
Speaker 1: the d n C they had no security on the server.

1521
01:27:02,280 --> 01:27:05,200
Speaker 1: There was no protection on the servers that anybody could

1522
01:27:05,200 --> 01:27:09,160
Speaker 1: have hacked into there easily. Let's go to Tyler Rawley,

1523
01:27:09,240 --> 01:27:14,679
Speaker 1: North Carolina. Hey, Tyler, how you doing Tyler? Are you there? Yeah,

1524
01:27:14,680 --> 01:27:16,080
Speaker 1: I'm here. How are you doing good? What do you

1525
01:27:16,120 --> 01:27:19,479
Speaker 1: want to say, Tyler? Um? Well, I'd like to, uh

1526
01:27:19,720 --> 01:27:25,720
Speaker 1: really bring up the fact of the nation's perception of safety. Um.

1527
01:27:25,720 --> 01:27:29,280
Speaker 1: It's something that I've personally seen go down downhill since

1528
01:27:29,280 --> 01:27:32,400
Speaker 1: the Obama administration and gun reform, and I feel like

1529
01:27:32,439 --> 01:27:36,000
Speaker 1: that's really could have been something that's been overlooked that

1530
01:27:36,200 --> 01:27:39,639
Speaker 1: could have helped swing the tide of the vote. Yeah. Well,

1531
01:27:39,640 --> 01:27:42,559
Speaker 1: it's a good point. You know a lot of things, Uh,

1532
01:27:43,120 --> 01:27:46,000
Speaker 1: I got people thinking about safety. First of all all

1533
01:27:46,080 --> 01:27:50,160
Speaker 1: these refugees coming up in the dangers of refugees. Uh,

1534
01:27:50,200 --> 01:27:52,240
Speaker 1: and then you look at how many of our last

1535
01:27:52,479 --> 01:27:55,599
Speaker 1: bunch of terrorist attacks were done by refugees. Boston Bomber,

1536
01:27:56,000 --> 01:27:58,720
Speaker 1: San Bernardino. You can rattle them all off. Now, this

1537
01:27:58,880 --> 01:28:01,519
Speaker 1: is not to say all refuge are a problem, but

1538
01:28:01,640 --> 01:28:05,479
Speaker 1: if it's one percent, that's thousands and thousands of terrorists

1539
01:28:05,520 --> 01:28:07,519
Speaker 1: in the country. So people are thinking about that. And

1540
01:28:07,600 --> 01:28:10,120
Speaker 1: Trump was the first one to really talked about, uh,

1541
01:28:10,520 --> 01:28:15,760
Speaker 1: violence and crime in cities. You know, you take Chicago, Detroit, Baltimore, Washington.

1542
01:28:15,760 --> 01:28:17,320
Speaker 1: He's the first one just to come out and say it.

1543
01:28:17,360 --> 01:28:20,439
Speaker 1: You know, you know, you inner city people are thinking

1544
01:28:20,479 --> 01:28:22,639
Speaker 1: the Democrats are on your side, Like, look what they've

1545
01:28:22,680 --> 01:28:27,160
Speaker 1: done to your cities. They've done nothing, nothing to fix anything. Uh.

1546
01:28:27,240 --> 01:28:29,840
Speaker 1: Let's go to Dave in Chicago. Dave, Welcome to Sean

1547
01:28:29,880 --> 01:28:33,640
Speaker 1: Hannity Show. Good afternoon, Mark the changing standards of the

1548
01:28:33,640 --> 01:28:36,920
Speaker 1: New York Times. I wish to illustrate with Jason Blair

1549
01:28:37,479 --> 01:28:40,040
Speaker 1: and the many lives and that all the plagiarism he

1550
01:28:40,640 --> 01:28:44,120
Speaker 1: did back in I think the early two thousands, compare

1551
01:28:44,160 --> 01:28:47,639
Speaker 1: that with today, with all the lives with Donald Trump. Well,

1552
01:28:47,680 --> 01:28:50,280
Speaker 1: Back in the early two thousands, the New York Times

1553
01:28:50,600 --> 01:28:53,240
Speaker 1: made such a big deal out of Jason Blair. They

1554
01:28:53,240 --> 01:28:56,640
Speaker 1: wrote a long editorial, a lie in the Times, and

1555
01:28:56,680 --> 01:29:00,400
Speaker 1: today they have no shame. Yeah, it's just well, um.

1556
01:29:00,479 --> 01:29:03,800
Speaker 1: One of the differences is and the great papers, The

1557
01:29:03,840 --> 01:29:06,800
Speaker 1: Washington Post New York Times. They used to be businesses,

1558
01:29:06,880 --> 01:29:10,640
Speaker 1: these newspapers. The Washington Post was bought by Jeff Bezos,

1559
01:29:11,280 --> 01:29:14,760
Speaker 1: not by Amazon. Bezos bought it personally, money out of

1560
01:29:14,760 --> 01:29:17,800
Speaker 1: his own pocket, just to use as a weapon. It

1561
01:29:17,840 --> 01:29:21,080
Speaker 1: has no business purpose for him. He just wanted to

1562
01:29:21,200 --> 01:29:24,160
Speaker 1: use it for influence to hurt Trump. You got the

1563
01:29:24,200 --> 01:29:25,840
Speaker 1: same situation in the New York Times. You've got the

1564
01:29:25,960 --> 01:29:30,599
Speaker 1: Mexican billionaire Carlo Slim funding the New York Times. He's

1565
01:29:30,640 --> 01:29:32,920
Speaker 1: the principal owner of the New York Times right now,

1566
01:29:33,800 --> 01:29:36,559
Speaker 1: he's the biggest investors. So and again, he's not using

1567
01:29:36,560 --> 01:29:39,880
Speaker 1: it for any business purpose. It couldn't possibly help him

1568
01:29:39,920 --> 01:29:42,800
Speaker 1: business wise. He's using it just as a weapon to

1569
01:29:42,920 --> 01:29:46,400
Speaker 1: go after Trump. So you've got these two papers totally corrupted,

1570
01:29:47,040 --> 01:29:51,280
Speaker 1: fake news all over the place. I mean, you read

1571
01:29:51,360 --> 01:29:53,760
Speaker 1: these stories in the New York Times that I mean,

1572
01:29:53,800 --> 01:29:59,040
Speaker 1: it's so false, you know, everything from Big Massive, the

1573
01:29:59,120 --> 01:30:01,240
Speaker 1: guy he's never given an money to charity. None of

1574
01:30:01,240 --> 01:30:03,519
Speaker 1: that is true. I can tell you being on the

1575
01:30:03,520 --> 01:30:05,960
Speaker 1: board of a few charities with Donald Trump. He's given

1576
01:30:06,080 --> 01:30:10,000
Speaker 1: millions fifty dollars last week to one. He doesn't all

1577
01:30:10,000 --> 01:30:12,120
Speaker 1: the time, but you read these fake stories. The other

1578
01:30:12,120 --> 01:30:14,519
Speaker 1: one I love is how he doesn't read. He doesn't

1579
01:30:14,640 --> 01:30:17,840
Speaker 1: read anything. Anybody that knows it was just laughing because

1580
01:30:17,840 --> 01:30:20,280
Speaker 1: you just walk into his office, it's nothing but a

1581
01:30:20,320 --> 01:30:23,479
Speaker 1: pile of books, newspapers, papers. This is all he does

1582
01:30:23,520 --> 01:30:26,200
Speaker 1: all day night. It's just read. You go to his house,

1583
01:30:26,200 --> 01:30:27,840
Speaker 1: I can I can tell you where he was sitting.

1584
01:30:28,280 --> 01:30:31,720
Speaker 1: Just look for the pile of newspapers and papers. Let's

1585
01:30:31,760 --> 01:30:34,920
Speaker 1: go to uh, let's go to Lily in Chicago. Hey Lily,

1586
01:30:34,960 --> 01:30:39,200
Speaker 1: how you doing. Yes, good afternoon, sir um. This is

1587
01:30:39,240 --> 01:30:42,320
Speaker 1: me from Chicago. I am originally from Puerto Rico, so

1588
01:30:42,400 --> 01:30:46,360
Speaker 1: I am in Latina, and I am not very knowledgeable

1589
01:30:46,360 --> 01:30:49,160
Speaker 1: about politics and stuff like that. I usually rely on

1590
01:30:49,200 --> 01:30:52,120
Speaker 1: my husband's for a question. But I really want to

1591
01:30:52,120 --> 01:30:55,320
Speaker 1: thank you for you know, your program and and and

1592
01:30:55,400 --> 01:30:59,360
Speaker 1: people like you that really take the time to encourage

1593
01:30:59,439 --> 01:31:03,760
Speaker 1: and really inform us about what's going on. I am

1594
01:31:03,840 --> 01:31:06,960
Speaker 1: also a Republican. I voted for Mr Trump, and I

1595
01:31:07,000 --> 01:31:10,640
Speaker 1: am very hopeful that the Latino community is going to

1596
01:31:10,760 --> 01:31:15,160
Speaker 1: grow thanks to him. Well, Lily, you're confusing everybody. You're

1597
01:31:15,200 --> 01:31:18,680
Speaker 1: supposed to be a Democrat. You're supposed to be uh gah,

1598
01:31:18,800 --> 01:31:20,840
Speaker 1: but Hillary signed on your lawn? How could you be

1599
01:31:20,960 --> 01:31:25,800
Speaker 1: for Trump? Oh? Please, it's a fallacy at you know,

1600
01:31:25,920 --> 01:31:29,080
Speaker 1: all my friends are you know, in agreement with me?

1601
01:31:30,600 --> 01:31:35,240
Speaker 1: I guess because we are smart? Yeah, alright, well, common

1602
01:31:35,320 --> 01:31:38,160
Speaker 1: sense carried the day in the selection. Hey, Lily, thanks

1603
01:31:38,160 --> 01:31:41,320
Speaker 1: for calling. Great talking to you. Eight hundred nine for

1604
01:31:41,560 --> 01:31:45,320
Speaker 1: one Sean is the number, eight hundred nine four one Sean.

1605
01:31:45,439 --> 01:31:47,280
Speaker 1: We would love to hear you here from you, it's

1606
01:31:47,320 --> 01:31:50,960
Speaker 1: Mark Simone here for Sean Handy. Follow me on Twitter,

1607
01:31:51,120 --> 01:31:55,160
Speaker 1: Mark Simone n y at Twitter. Oh on Instagram in fact,

1608
01:31:55,200 --> 01:31:56,720
Speaker 1: to put up a video. It's a little tour of

1609
01:31:56,720 --> 01:31:58,519
Speaker 1: the studio. You want to see what Sean puts up

1610
01:31:58,520 --> 01:32:00,639
Speaker 1: on the walls here or what it looks like here

1611
01:32:00,680 --> 01:32:04,439
Speaker 1: Mark Simone and why at Instagram And we'll take some

1612
01:32:04,479 --> 01:32:07,560
Speaker 1: calls in a minute. Mark Simone here for Sean Hannity

1613
01:32:09,280 --> 01:32:16,960
Speaker 1: Scott problems, He's got solutions listens to the Sean Hannity Show.

1614
01:32:25,080 --> 01:32:27,320
Speaker 1: Welcome back at the Sean Hannity Show. Look at this,

1615
01:32:27,320 --> 01:32:29,320
Speaker 1: We're almost out of time. Why I really flew by?

1616
01:32:29,479 --> 01:32:31,160
Speaker 1: Look at Linda? What do you made it flew by?

1617
01:32:31,200 --> 01:32:34,200
Speaker 1: It didn't fly by from me? Jesus fighting with all

1618
01:32:34,200 --> 01:32:37,400
Speaker 1: the callers in there? Uh, studying for her NBA at

1619
01:32:37,439 --> 01:32:41,920
Speaker 1: the same time. Uh oh, now she looks mad. Anyway,

1620
01:32:41,920 --> 01:32:44,599
Speaker 1: we'll take some calls for one. Sean is the number?

1621
01:32:44,680 --> 01:32:49,519
Speaker 1: What's the matter? Now? She's not talking? What are you

1622
01:32:49,560 --> 01:32:52,280
Speaker 1: talking to me? No? No, no, he's talking to Ethan.

1623
01:32:52,960 --> 01:32:54,479
Speaker 1: Are you talking about me when I'm on the phone

1624
01:32:54,479 --> 01:32:56,600
Speaker 1: with callers about you? Because you know that's going to

1625
01:32:56,680 --> 01:32:59,160
Speaker 1: get on my nerves. What did you say? Are you

1626
01:32:59,240 --> 01:33:01,880
Speaker 1: putting it? What did you say? I referred to say

1627
01:33:01,920 --> 01:33:04,720
Speaker 1: it again? I said what a job she does? And

1628
01:33:04,800 --> 01:33:09,000
Speaker 1: her No, that's not what you said. Attitude. He said

1629
01:33:09,040 --> 01:33:13,440
Speaker 1: that you were so lovely and just an amazing individual,

1630
01:33:13,520 --> 01:33:15,559
Speaker 1: and he's glad that he was working with you for

1631
01:33:15,600 --> 01:33:18,160
Speaker 1: the whole day. Yeah, both of you are getting cols.

1632
01:33:19,000 --> 01:33:24,000
Speaker 1: Were like a ray of forget about it and Uh, anyway,

1633
01:33:25,080 --> 01:33:28,400
Speaker 1: one shown is the number. Uh, let's go to Let's

1634
01:33:28,600 --> 01:33:32,240
Speaker 1: go to Bob in Florida. Hey Bob, Hey, how are

1635
01:33:32,240 --> 01:33:34,280
Speaker 1: you doing to see Thank you for taking my call.

1636
01:33:34,680 --> 01:33:38,679
Speaker 1: What part of Florida in Well, I'm in northeast Florida,

1637
01:33:38,720 --> 01:33:45,559
Speaker 1: Ponto Vidra Beach where Pontovid beaches. You're making this up.

1638
01:33:45,600 --> 01:33:50,160
Speaker 1: There's no such beach. No, there isn't. If you're a

1639
01:33:50,200 --> 01:33:53,400
Speaker 1: golfye and you watch TPC, that's where I live. I

1640
01:33:53,439 --> 01:33:55,320
Speaker 1: talked to people all the time. Not one person ever

1641
01:33:55,320 --> 01:33:58,639
Speaker 1: said I just got back from pont Beach to beach. Okay,

1642
01:33:58,640 --> 01:34:01,960
Speaker 1: well wait they were from Jackson. Oh okay, Well now

1643
01:34:02,000 --> 01:34:04,120
Speaker 1: I know where it is. It's a very nice down there.

1644
01:34:04,120 --> 01:34:08,720
Speaker 1: Actually it is kind of foggy tonight. Listen. I have

1645
01:34:09,439 --> 01:34:13,040
Speaker 1: a couple of thoughts about the Russian hacking and of

1646
01:34:13,080 --> 01:34:18,120
Speaker 1: course all the domestic terror asked by the people trying

1647
01:34:18,120 --> 01:34:21,720
Speaker 1: to to sway the vote of the electors and all

1648
01:34:21,800 --> 01:34:23,559
Speaker 1: that kind of stuff. And I just wanted to get

1649
01:34:23,600 --> 01:34:29,400
Speaker 1: your thoughts on the electors being contacted and harassed and

1650
01:34:29,640 --> 01:34:33,600
Speaker 1: threatened with botherly harm and death being treated as a

1651
01:34:34,000 --> 01:34:36,719
Speaker 1: domestic terror. Well, you know, that's a good question. I

1652
01:34:36,760 --> 01:34:41,040
Speaker 1: think that cost Hillary electoral votes. She lost what she

1653
01:34:41,120 --> 01:34:44,960
Speaker 1: lose seven electoral votes. Seven electors switched their votes, and

1654
01:34:45,040 --> 01:34:47,640
Speaker 1: most of them were Hillary, and I think that's the

1655
01:34:47,680 --> 01:34:50,240
Speaker 1: reason why. I think a lot of them really resented

1656
01:34:50,320 --> 01:34:54,599
Speaker 1: being threatened, being yelled at by all these celebrities. A

1657
01:34:54,600 --> 01:34:58,479
Speaker 1: lot of Hillary voters electoral votes switched to others, not

1658
01:34:58,560 --> 01:35:01,800
Speaker 1: to Trump necessarily, but Colin Powell got four votes. Those

1659
01:35:01,800 --> 01:35:04,320
Speaker 1: would have been Hillary votes. Are we at a time?

1660
01:35:05,400 --> 01:35:08,320
Speaker 1: You know? We got about a minute twenty? Is that

1661
01:35:08,360 --> 01:35:12,640
Speaker 1: time for another call? I should talk? So this is

1662
01:35:12,720 --> 01:35:15,799
Speaker 1: Linda saying to you callers, now you're you're too slow.

1663
01:35:16,600 --> 01:35:19,560
Speaker 1: We can't fitch in a minute twenty is like an eternity.

1664
01:35:19,880 --> 01:35:22,320
Speaker 1: That's like a whole. It's in New York minute twenty.

1665
01:35:22,439 --> 01:35:24,920
Speaker 1: It's a very different thing. Oh yeah, that's true. See

1666
01:35:24,960 --> 01:35:28,040
Speaker 1: I'm on in New York on w o R. I

1667
01:35:28,040 --> 01:35:30,680
Speaker 1: could take forty seven calls in a minute. Everybody's well

1668
01:35:30,680 --> 01:35:35,240
Speaker 1: boom boom boom, but uh, nothing personal. But from around

1669
01:35:35,240 --> 01:35:37,599
Speaker 1: the country, you do talk a little slow. Now I'm

1670
01:35:37,600 --> 01:35:40,080
Speaker 1: looking at the window. We're above Rockefeller Center. There's the

1671
01:35:40,160 --> 01:35:42,720
Speaker 1: Christmas tree. I can tell who's from New York and

1672
01:35:42,760 --> 01:35:45,080
Speaker 1: who's not. Anybody from New York when they go look

1673
01:35:45,080 --> 01:35:47,240
Speaker 1: at the tree. They look at it, all right, let's go.

1674
01:35:47,680 --> 01:35:50,360
Speaker 1: That's it. When they're from out of town, they stand

1675
01:35:50,360 --> 01:35:52,360
Speaker 1: there for like a half hour and look at the tree.

1676
01:35:52,760 --> 01:35:55,000
Speaker 1: Of course they flew two thousand miles to come see this,

1677
01:35:55,240 --> 01:35:57,439
Speaker 1: but you could always sell the New Yorker. Where's the tree?

1678
01:35:57,720 --> 01:35:59,920
Speaker 1: All right? All right, let's go. That's it. They take

1679
01:36:00,040 --> 01:36:02,800
Speaker 1: there selfie, they're gone anyway, We're out of time. Hey,

1680
01:36:02,840 --> 01:36:05,439
Speaker 1: this was a lot of fun. Thanks to everybody for listening.

1681
01:36:05,720 --> 01:36:10,919
Speaker 1: It's the Sean Hannity Show. Uh or follow me on Twitter, Facebook, Instagram,

1682
01:36:10,960 --> 01:36:13,360
Speaker 1: all that you go to my website, Mark Simone dot

1683
01:36:13,400 --> 01:36:16,280
Speaker 1: com or Mark Simone n Y at Twitter. Please go

1684
01:36:16,320 --> 01:36:19,400
Speaker 1: look at the Snopes picture. You will never look at

1685
01:36:19,400 --> 01:36:22,679
Speaker 1: the stupid website the same way. Again, Thanks for listening,

1686
01:36:23,080 --> 01:36:27,120
Speaker 1: Merry Christmas, Happy holidays, and thanks a lot