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Speaker 1: So, like many of you, I used to suffer from insomnia.

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Speaker 1: No matter what I did, I just couldn't get a

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Speaker 1: inventor of my Pillow. He got me fitted from my

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Speaker 1: very own my pillow, and it's changed my life. I

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Speaker 1: call eight hundred four six seven nineteen sixty two use

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Speaker 1: for one offer. Now my pillow was made right here

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Speaker 1: in the USA, has a sixty day unconditional money back guarantee,

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Speaker 1: end a tenure warranty, and by the way, you can

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Speaker 1: even wash it and dry it. Just go to my

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Speaker 1: pillow dot com or call eight hundred four or six

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Speaker 1: seven nineteen sixty two promo code Hannity to get Mike's

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Speaker 1: special two for one offer. Let not your Heart be troubled.

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Speaker 1: You are listening to the Sean Hannity radio show podcast

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Speaker 1: All Right, Glad You're with us? More Hot Coco, more aromatherapy,

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Speaker 1: pet therapy, crayons and Plato and coloring book News that

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Speaker 1: we'll get to the start of the program him today

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Speaker 1: and Coulter is back with us new king Rich and

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Speaker 1: an announcement coming up later in the program today that

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Speaker 1: a project that I've been involved in now for a

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Speaker 1: long time. It is coming to fruition. It won't be

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Speaker 1: available till November. No, it's not a book. I'm not

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Speaker 1: writing any more books. I'm done. But something that I'm

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Speaker 1: really proud of. And well, I'll tell you what it is.

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Speaker 1: It's a movie that I have I am the executive

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Speaker 1: producer of and it is a movie that will take

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Speaker 1: you on an emotional roller coaster ride and you'll laugh

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Speaker 1: and you'll cry, and it has meaning and it has substance.

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Speaker 1: You know, all these years doing radio and TV, I

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Speaker 1: have always noticed something. I go to Kenny chest These

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Speaker 1: concert and he sings a song about a kid that

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Speaker 1: ends up getting his girlfriend pregnant, and it's called there

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Speaker 1: Goes My Life. And you look at in the audience

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Speaker 1: and that song touches people so deeply they cry. I've

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Speaker 1: been to growth Brook concerts, you know, friends in low

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Speaker 1: places and everyone's like in a drunken brawl and having fun.

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Speaker 1: And then the next thing he does is he sings

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Speaker 1: the dance or if Tomorrow never comes and you see

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Speaker 1: people tearing up. It's the same with movies, good movies.

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Speaker 1: I think we have enough cartoon movies out there at

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Speaker 1: the last four thousand lifetimes. I'm sick of them, and

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Speaker 1: monster movies and you know, whatever other stuff they do.

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Speaker 1: I'm just I'm not impressed with what Hollywood does. So

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Speaker 1: I've been looking for the right project, the right script.

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Speaker 1: It's a faith based movie, and I think I found it,

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Speaker 1: and I actually have the first cut of it. We've

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Speaker 1: been filming it. I just haven't been talking about it.

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Speaker 1: And I partnered with Kevin and Sam Sorbo on this movie.

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Speaker 1: Kevin Sorbo of course of Hercules Fame and was the

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Speaker 1: movie music for the movie. She's amazing in this movie.

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Speaker 1: And uh, I have a part. Yes, I didn't totally

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Speaker 1: destroy it, at least not in the first cut. Um,

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Speaker 1: but that's not why I did it. And I'm just

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Speaker 1: playing myself, so it's not like it's hard to do.

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Speaker 1: But I'm a very small part of it. And I

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Speaker 1: was not the reason that I did the project. But

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Speaker 1: it's because I see that, you know, I want to

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Speaker 1: leave a movie theater thinking I want to leave a

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Speaker 1: movie theater having, you know, gone through an experience, and

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Speaker 1: this movie takes you on that experience. I've been able

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Speaker 1: to take the first rough cut, and I've been able

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Speaker 1: to show it to just a few select friends, and

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Speaker 1: in every case they laughed and cried in the same movie.

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Speaker 1: And so I'm very, very proud of it. I think

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Speaker 1: the message of the movie. Look, I don't claim to

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Speaker 1: be the greatest example of Christianity. I'm not. There's not

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Speaker 1: I don't go to church regularly. I don't do a

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Speaker 1: lot of things that I should do. But it's but

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Speaker 1: I believe all of that with all my heart, mind

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Speaker 1: and soul, and know that for me, it's the truth

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Speaker 1: that I rely on and feel that my life in

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Speaker 1: so many ways has been a blessing. And you know,

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Speaker 1: I'm the guy if you want to know how I

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Speaker 1: view my life, I'm the guy on the cross next

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Speaker 1: to Jesus that says I'm the one that belongs here.

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Speaker 1: You don't belong here. Well, I'm not. No, I'm not

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Speaker 1: saying I'm not comparing myself to Jesus. I'm saying no,

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Speaker 1: I would. I'm the guy that would deserve to be

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Speaker 1: on a cross, not him. Is that a bad example?

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Speaker 1: Bad example? Okay, I'm the one that says I deserve

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Speaker 1: whatever hell I would get. That's it I mean. And

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Speaker 1: you know what is the message of Christianity all about.

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Speaker 1: It's about God sent his only begotten son, and if

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Speaker 1: you believe him and he will forgive your sins and

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Speaker 1: reconcile you to God. All I'm the one that needs

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Speaker 1: the reconciling and then forgiveness. That's what I mean. Is

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Speaker 1: that better better way to say it? Well, I'm saying

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Speaker 1: I would know that I'm the one that deserves to

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Speaker 1: be there. He's the one that doesn't deserve to be there.

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Speaker 1: I was very clear in that point. Good grief. And

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Speaker 1: then there was a guy on the other side of

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Speaker 1: him that said, if your God, get us the hell

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Speaker 1: down from here, you know, and anyway, I'm the one

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Speaker 1: that would need the forgiveness part. That's all I meant

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Speaker 1: by that. But I'm sick of movies that don't have me.

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Speaker 1: I'm sick and tired of it. I go to movies

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Speaker 1: like I'm gonna be off of my Christmas vacation. I'm

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Speaker 1: gonna go to movies, probably see every new movie out.

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Speaker 1: I go to movies almost every night I do. I'll

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Speaker 1: they have this great movie theater near where where I'm

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Speaker 1: a vacationing, and I go sit there and I watch

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Speaker 1: and I either fall asleep, bored out of my mind,

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Speaker 1: or I just I just walk out of there, just

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Speaker 1: like this was a waste of money in two hours.

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Speaker 1: And so I just wanted to get and so I

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Speaker 1: put a lot of money into the project. And I'm

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Speaker 1: very proud of what it's turning into. And we'll announce

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Speaker 1: more about it later in a program today. You know,

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Speaker 1: our friends over at NewsBusters they did something pretty amazing.

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Speaker 1: They went back to two thousand and eight and they

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Speaker 1: looked at the media coverage member the likes of Chris

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Speaker 1: Matthews getting tingles up his leg, and uh, you know

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Speaker 1: all the craziness we have that love theme of Chris Matthews.

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Speaker 1: I'll get to it in a second. You know, it's

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Speaker 1: an outstanding gesture of magnanimity. If to take on Hillary Clinton,

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Speaker 1: he said, you know, you're beating a very tough, really

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Speaker 1: eight year fight. What a magnanimous gesture, he said, It's

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Speaker 1: astounding to everyone. Robin Roberts at ABC, wondering of Obama's

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Speaker 1: selections where a team of rivals as Lincoln did. Remember

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Speaker 1: we were talking about the columns, the Greek columns, and

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Speaker 1: maybe he'd end up on Mount Rushmore. And then he

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Speaker 1: got the Nobel Peace Prize. And then you had people

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Speaker 1: say what a genius he was. You know, he's created

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Speaker 1: a mosaic and all star team, a team of superstar genius.

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Speaker 1: Is full of brain power. You know, we've never had

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Speaker 1: such a collection of superstars with this brain power. All

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Speaker 1: of these things were said. Now go to Donald Trump

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Speaker 1: and his selections, when he got a bunch of racially

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Speaker 1: insensitive and sensitive hard line radicals, Ignor Ramiss, who will

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Speaker 1: bring about environmental disaster and a calamity to the poor.

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Speaker 1: That's the difference. The media hasn't learned a darn thing.

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Speaker 1: What a difference eight years makes. You know, You've got

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Speaker 1: John Heilman talking about some appointments a history of racially

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Speaker 1: and sensitive endeavor, none of which is true. They even

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Speaker 1: said about Dr Ben Carson, they did a movie about

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Speaker 1: this man's life, a renowned, world renowned surgeon. How Ben

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Speaker 1: Carson can undo a desegregation effort? What are they talking about?

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Speaker 1: Carson will spell calamity for the poor. And it doesn't.

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Speaker 1: And there Jennifer Ruben, hardline team of radicals, billionaires and

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Speaker 1: ignor ramuses and a few generals. Like wow, I wish

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Speaker 1: I could say Ben Carson was the only person who

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Speaker 1: didn't have experience in his area. What we have our

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Speaker 1: ignor ramus is billionaires and a few generals. Pretty frightful stuff.

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Speaker 1: You know, you got Juan Williams. You have people who

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Speaker 1: I would say don't fit exactly into a team of rivals,

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Speaker 1: but too many, a team of radicals, and you got

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Speaker 1: the New York Times. Trump quickly on Friday move to

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Speaker 1: begin filling national security posts at the top echelons of

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Speaker 1: his administration, selecting a group of hawks and campaign loyalists

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Speaker 1: to reflect the hard line views that defined his run

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Speaker 1: for the presidency. Now, if you go to what they

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Speaker 1: did in two thousand and eight, Obama appointed a hardheaded,

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Speaker 1: realist team of moderates and geniuses. You know, George Stephanopolis

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Speaker 1: would say, well, one Obama advisor told me what they

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Speaker 1: like as a combination of a team of rivals, the

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Speaker 1: best and the brightest. And it goes on from there.

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Speaker 1: There's such phonies. You know, it's just just a bunch

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Speaker 1: of liars and look at what the ditch that they

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Speaker 1: dug for the entire country. But if you listen to

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Speaker 1: David Brock over media manners, he says, the press are animals.

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Speaker 1: They need to be treated that way. They're on your team, David.

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Speaker 1: There they basically you know, remember back when you were

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Speaker 1: mocking the fact you got all you got all these

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Speaker 1: young kids average age twenty seven. You can feed him

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Speaker 1: anything you want. That were gurgitated perfectly. You guys mocked

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Speaker 1: it by lying to the media and selling that Obamacare.

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Speaker 1: It's so bad Washington Free Beacon as a story to day,

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Speaker 1: I remember and think about this. Remember when Obama was elected,

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Speaker 1: Remember Ali wentworth a k A. Mrs George Stephanopolis told

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Speaker 1: some interviewer she was so ecstatic she called her husband.

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Speaker 1: They both cried tears of joy. Remember that no tears

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Speaker 1: of joy in in the Stephanopolos household after Donald Trump won.

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Speaker 1: How he got to cover the Clintons at all in

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Speaker 1: this race is a miracle to me by ABC, except

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Speaker 1: the fact that they're in the can and like every

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Speaker 1: other network for Democrats. Anyway, she was on the view

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Speaker 1: the other day, George Stephanopolos's wife and while discussing the

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Speaker 1: election with the ladies of the View. She described her

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Speaker 1: daughters and how they were handling this. I have an

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Speaker 1: eleven year old daughter who doesn't really understand what ices is,

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Speaker 1: but she knows that she's scared, and she's now sleeping

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Speaker 1: in bed with us every night. What is she talking about?

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Speaker 1: They can't sleep. It just evolves my fourteen year old

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Speaker 1: getting upset about the election and screw aiming no abortions,

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Speaker 1: really loudly, what is going on in these households? You

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Speaker 1: got a Harvard professor. Now, first they tried the recount

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Speaker 1: that failed, the Putin argument failed. Now there we have

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Speaker 1: a Harvard professor in the Hill today suggesting that GOP

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Speaker 1: electors are close to blocking a Trump win. There's such bitter,

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Speaker 1: angry people. Remember Barack Obama, he would say just before

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Speaker 1: the election, stopped whinding Donald Trump, like like, it's even

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Speaker 1: possible that the election could be influenced by others. But

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Speaker 1: but the larger point that I want to emphasize here

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Speaker 1: is that there is no serious person out there who

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Speaker 1: would suggest somehow that you could even you could even

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Speaker 1: rig America's elections, in part because they're so decentralized and

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Speaker 1: the numbers of votes involved. There's no evidence that that

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Speaker 1: has happened in the past or that there instances in

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Speaker 1: which that will happen this time. And so uh, I'd

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Speaker 1: provide Mr Trump to stop winding and go try to

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Speaker 1: make his case to get votes. And if he got

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Speaker 1: the most votes, then it would be my expectation of

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Speaker 1: Hillary Clinton to offer a gracious concession speech and pledge

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Speaker 1: to work with him in order to make sure that

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Speaker 1: the American people benefit from an effective government. And it

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Speaker 1: would be my job to welcome Mr Trump, regardless of

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Speaker 1: what he said about me or my differences with him

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Speaker 1: on my opinions, and escort him over to this capital

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Speaker 1: in which there would be a peaceful transfer of power.

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Speaker 1: That's what Americans do. That's why America's already great. One

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Speaker 1: way of weakening American making it less great is if

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Speaker 1: you start betraying those basic American traditions that have been bipartisan,

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Speaker 1: uh and have helped to hold together this democracy now

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Speaker 1: for well over two centuries. Okay, and then Hillary of

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Speaker 1: course said the following, that is not the way our

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Speaker 1: democracy works. We've been around for two hundred and forty years.

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Speaker 1: We've had free and fair elections, we've accepted the outcomes

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Speaker 1: when we may not have liked them, and that is

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Speaker 1: what must be expected of anyone standing on a debate

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Speaker 1: stage during a general election. And then he's gone out

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Speaker 1: and talked about rigged elections, and he's tried to rile

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Speaker 1: up all of his supporters and his rallies, and it's

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Speaker 1: really painful to see this. But in that last debate

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Speaker 1: he said something truly horrifying, and that was that he

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Speaker 1: wouldn't say he would accept the results of the election.

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Speaker 1: This is his final target. Our democracy itself. Unbelievable. So

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Speaker 1: now the now, the the recount didn't work, the Russia

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Speaker 1: story didn't work. Now they'll try to influence the electors.

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Speaker 1: You know, Chris Matthew is not happy that Trump may

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Speaker 1: finally move the US embassy from Israel to Jerusalem. Well

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Speaker 1: that's the capital, historic capital. Why that's even an issue,

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Speaker 1: I don't even know. Anyway, back to this Harvard professor

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Speaker 1: guy for just a second. Here he's claiming the electoral

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Speaker 1: College is close to dumbing. Trumble. I don't this is

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Speaker 1: not gonna happen. If it does, it's not gonna work.

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Speaker 1: But that's not stopping them because the whole effort is

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Speaker 1: about delegitimizing Trump. The guy's name is Larry Lessi Lessig,

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Speaker 1: He's from Harvard University, and he said the twenty Republican

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Speaker 1: Electoral College voters are considering flipping to vote against Trump,

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Speaker 1: more than half the number of anti Trump votes needed

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Speaker 1: to stall the president elect from being sworn in office.

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Speaker 1: That's not gonna hampen. And if it does, you're gonna

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Speaker 1: see a backlash in this country the likes of which

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Speaker 1: we've never seen. And by the way, what other bit

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Speaker 1: of news today? The New York Times and the Weekly

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Speaker 1: Standard both reporting that Obama sounds like, you know, he

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Speaker 1: wants to start World War three over what is now

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Speaker 1: old news that Russian hackers were suspected of breaking into

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Speaker 1: the d n C email system. Because what you've been

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Speaker 1: hearing all week was not new. There's no new information

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Speaker 1: about hacking. There's no conclusion. The Director of National Intelligence

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Speaker 1: and the FBI, they don't reach the same conclusion as

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Speaker 1: the same CIA that said that that politicized the Benghazi

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Speaker 1: story and the false narrative that this was a spontaneous

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Speaker 1: attack based on a YouTube video and the spontaneous demonstrators

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Speaker 1: at RPGs and and mortars in their back pocket. That's

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Speaker 1: the same CIA. And I'm not dissing on the CIA

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Speaker 1: rank and file, but the CIA has been weakened repeatedly

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Speaker 1: over the years by Congress. It's just a fact. It's

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Speaker 1: not something in dispute anyway. The New York Times reveals

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Speaker 1: that President Obama had been briefed regularly on Russia's efforts

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Speaker 1: to target servers at the State Department, the White House,

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Speaker 1: and the joints chiefs of Staff. Last night, I went

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Speaker 1: through the whole list of departments that have been that

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Speaker 1: had been hacked over the years. We also know the

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Speaker 1: identity of the culprit who masterminded the successful hacking into

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Speaker 1: Hillary's campaign, which according to Democrats, made Trump president. And

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Speaker 1: it turns out the mastermind was not Vladimir Putin. It

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Speaker 1: appears to be Hillary Clinton, the person responsible for this,

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Speaker 1: you know, John Podesta, Podesta himself. Now, if it were

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Speaker 1: not her very own right hand man, I assume Hillary

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Speaker 1: would be taking the on them office next month instead

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Speaker 1: of Donald Trump. According to them, because Wiki Leaks had

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Speaker 1: released what may be the key email that led to

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Speaker 1: one of the biggest cybersecurity breaches in presidential campaign history,

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Speaker 1: allowing hackers to gain access to the Clinton campaign chairman

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Speaker 1: Podesta's Gmail account. A new email thread released just last

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Speaker 1: week suggested Podesta got a March nineteenth email from Google

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Speaker 1: notifying him that someone at his password and he tried

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Speaker 1: to sign and tried to sign in from Ukraine. The

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Speaker 1: I t T told Podesta the message was legit and

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Speaker 1: he should change his password. But it appears the email

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Speaker 1: actually was a fishing ploy and likely gave the world

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Speaker 1: access to the contents of the account. It was them,

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Speaker 1: They blew it, they opened it up. Wasn't that wasn't

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Speaker 1: Vladimir Putin? And Juliana san just said to us, it's

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Speaker 1: not Vladimir Putin. One week, one week from today, you

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Speaker 1: get to choose a new government. And because early voting

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Speaker 1: runs through this Friday, you don't have to wait till

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Speaker 1: election day. You can vote all the week. I mean,

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Speaker 1: you can only vote once. It doesn't Chicago, nothing You're

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Speaker 1: gonna I'm teas in Chicago. I'm messing with you. That

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Speaker 1: was a long time ago. You can only vote once,

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Speaker 1: but you can vote any time this week, any time

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Speaker 1: this week, any time you want. You know, there's such

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Speaker 1: hypocrites are left. Why did the media. You know, ging

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Speaker 1: rich who's gonna join us? Later says, you know, bashing

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Speaker 1: these idiots in the propaganda media. Journalism is dead. I

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Speaker 1: honestly could see Trump saying, we don't need a White

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Speaker 1: House Press office anymore. We don't need he hasn't named

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Speaker 1: the press secretary. Why why why go out there the

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Speaker 1: dog and phony pony show where you have a bunch

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Speaker 1: of Hillary Clinton supporters in the media, a bunch of

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Speaker 1: propagandas a bunch of people that colluded with the Clinton campaign.

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Speaker 1: Why sit there every day and take their inane, idiotic

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Speaker 1: combative questions every day? What and then run it on MSNBC. Why?

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Speaker 1: Because they can't get any better programming than that. I

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Speaker 1: think you just saye forget it. I'll do a fireside

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Speaker 1: chat with him. I won't do it by a fireside

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Speaker 1: make a fun Uh let's go back. Remember when Obama

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Speaker 1: won an OH eight. I just read to you the

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Speaker 1: NewsBusters article the pointed out, oh they was so happy, giddy.

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Speaker 1: Everything he did was brilliant. He was so smart. He's smart,

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Speaker 1: probably the smartest guy I've ever heard. Now, Chris Matthews

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Speaker 1: is only one of many. I don't remember why we

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Speaker 1: singled him out, I guess because he was so over

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Speaker 1: the top. But it's like a love story, and the

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Speaker 1: love story is between the mainstream media and liberal Democrats.

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Speaker 1: It's a sweet love story. The feeling most people get

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Speaker 1: when they hear a Barack Obama speech. I felt this

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Speaker 1: thing up my leg. I don't have that too often,

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Speaker 1: and that means an objective assessment. I thought it was

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Speaker 1: Hollywood was romance. Is only you in my life, and

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Speaker 1: we should be comfortable and will be with him in

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Speaker 1: such a setting. He was realism, every bro, take you

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Speaker 1: stick up. I felt, this is grow growing up my leg.

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Speaker 1: I don't have that to offer. I wanted the noble

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Speaker 1: office shutting, showing that he's comfortable. This is valuable material,

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Speaker 1: this is real state of the highest order of you.

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Speaker 1: I felt this grow growing up my leg. You tell me,

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Speaker 1: you kid. I think guy has done everything. He's worthing

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Speaker 1: his pot off, he's been a good citizen, if he's

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Speaker 1: done everything right here, I felt this brittle growing up

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Speaker 1: my leg, and the love story is that all we have.

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Speaker 1: I thought it was longer than that. All right, let's

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Speaker 1: hit her, Well, you wanted me to talk about something.

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Speaker 1: What did you want to talk about? Santa Claus before

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Speaker 1: before we talk about that, did you see the video

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Speaker 1: of that sick child that died in Santa's arms? Ah ah,

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Speaker 1: I just I don't you know me, I don't cry.

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Speaker 1: I I was. I was like, oh, that killed me.

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Speaker 1: It was so sad. And the guy said, you tell

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Speaker 1: him when you get to where you're going, you tell him,

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Speaker 1: I'm the first delf. You're the first elf. It was

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Speaker 1: so sad. What's the other story you want to talk about?

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Speaker 1: I can't talk about that story. You know that. Um,

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Speaker 1: there's two other stories that are happening. Story they're a

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Speaker 1: little bit lighter than the heavy stuff we're hitting. Do

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Speaker 1: you mean the guy that looked like Santa was asked

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Speaker 1: to leave Six Flags? He goes to six Flags every weekend.

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Speaker 1: He happens to look like Santa. Why does he go

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Speaker 1: to six Flags every weekend? Exercise? Him and his wife

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Speaker 1: they're in their their golden years and they get a

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Speaker 1: little walk on in Texas and six Flags. It's humongous

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Speaker 1: and they walked the park for exercise size. Nothing wrong

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Speaker 1: with that, No, no, no. Do they have to pay

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Speaker 1: to be to get in there. They have a membership,

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Speaker 1: so they get that goes off, so they don't even

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Speaker 1: they don't even go on the rides. They just walk.

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Speaker 1: They just go And because he looks like Santa, small

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Speaker 1: children that celebrate Christmas with their families approach him and

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Speaker 1: they're like, oh hi, And he carries around candy and

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Speaker 1: the parents come up and he gets the parents approval

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Speaker 1: and he gives them candy, and some grinch at the

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Speaker 1: park decided that he didn't like it and had him

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Speaker 1: thrown out. And you know what the park said to him, Well,

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Speaker 1: you can come back if you shave your beard. Henderson

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Speaker 1: got in trouble after, he says, a woman asked him

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Speaker 1: to pose for a picture with her kids. What is

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Speaker 1: wrong with people? I like Six Flags. We partnered with them.

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Speaker 1: We did a number of concerts with them over the

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Speaker 1: years when we're doing our freedom concerts, and we apologize

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Speaker 1: that Mr Henderson was inconvenience, but the safety of our

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Speaker 1: guests is always our highest priority. We cannot knowingly allow

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Speaker 1: individuals who are not approached by the park uh to

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Speaker 1: interact with small children in this capacity. Small children that

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Speaker 1: were brought over to him and he was handing out

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Speaker 1: candy to the younger guests. Parents brought their children to him.

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Speaker 1: He didn't go up to the kids like, hey, it

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Speaker 1: was dressed as Santa. I mean, but he was not

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Speaker 1: dressed to see Actually it says he was dressed. So

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Speaker 1: he has a beard that resembles Santa, and in the

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Speaker 1: Christmas spirit he has the spenders and a hat that

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Speaker 1: he wears. But that's it. It's not like he's in

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Speaker 1: a full regalion with like, you know, a big bag

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Speaker 1: of toys over his shoulder. Well, you know, there's a

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Speaker 1: better answer to this. Let's go like the Trump Way.

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Speaker 1: What would Donald Trump do if this was his park?

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Speaker 1: I'll tell you, what do you do? You do a

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Speaker 1: background check on the guy. He would hire the guy

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Speaker 1: and let him go around and let the park provide

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Speaker 1: the candy and let him give candy to the kids.

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Speaker 1: It's a brilliant. That's like saying, this guy us walking

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Speaker 1: through the park. It happens to be Sean Hannity. He's

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Speaker 1: there with his kids, and people come up to you. Oh, Sean, Sean,

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Speaker 1: I'm a big fan. Can I take a picture? Can

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Speaker 1: my son take a picture with you? And then you

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Speaker 1: do that and they're like, I'm sorry, Mr Hannity, we

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Speaker 1: cannot have you approaching small children. Meanwhile, you weren't approaching

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Speaker 1: small children, they were approaching you. Well, I think there's

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Speaker 1: an answer. The look. It's sort of like when you're

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Speaker 1: dealing with a company and you're dealing with the lowest

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Speaker 1: person on the totem pole, and I'm like, well, can

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Speaker 1: I can you just can you just type in this?

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Speaker 1: Can you just know it's against company policy? And it's

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Speaker 1: so stupid, and you're like, oh, just do it, you know,

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Speaker 1: get it done, and they don't do it. Speaking of

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Speaker 1: stupid sid this woman this is on our handy dot

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Speaker 1: com today. It's a story that uh, public school, Yeah,

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Speaker 1: the DC public school spokeswoman. Do you like this? Get

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Speaker 1: rid of white man. She's still going to be the

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Speaker 1: spokeswoman for the public school system because that's where your

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Speaker 1: kids are being taught. Ladies and gentlemen, get rid of

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Speaker 1: white men. After Trump nominated Rick Perry to lead the

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Speaker 1: Energy Department. By the way, I'm so happy about Rick Perry.

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Speaker 1: Rick Perry created more jobs, longest running governor and did

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Speaker 1: so much good for Texas. Um, he's gonna be great

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Speaker 1: at energy and you know what he's gonna do. He's

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Speaker 1: gonna cut it to the bone and he's gonna make

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Speaker 1: us energy independent on that's one of them. I'm happy

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Speaker 1: with that pick in a major way. All Right, let's

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Speaker 1: get to our phones. Alyssa is in Ashland and Missouri

426
00:24:25,800 --> 00:24:28,760
Speaker 1: the show me stay to Lissa. How are you. I'm good,

427
00:24:29,280 --> 00:24:32,320
Speaker 1: I'm good. What's happening? Well, I'm just a little worried.

428
00:24:32,359 --> 00:24:36,280
Speaker 1: I've been reading the stories about the possible faithless delicates

429
00:24:36,320 --> 00:24:38,560
Speaker 1: we have going on, and I'm just wondering if you

430
00:24:38,600 --> 00:24:41,320
Speaker 1: think this might be a real threat to Trump taking office,

431
00:24:41,440 --> 00:24:44,240
Speaker 1: or what you think is going to happen with that look,

432
00:24:44,280 --> 00:24:45,960
Speaker 1: I think they're gonna try, but I think it's a

433
00:24:46,480 --> 00:24:49,159
Speaker 1: they're going to try. Let me make my prediction clear,

434
00:24:49,320 --> 00:24:51,719
Speaker 1: and I want everybody in the liberal media that has

435
00:24:51,760 --> 00:24:53,720
Speaker 1: nothing better to do but get paid to listen to

436
00:24:53,760 --> 00:24:55,920
Speaker 1: this program and their underwear every day and then write

437
00:24:55,920 --> 00:24:59,440
Speaker 1: about what a horrible, evil human being I am and

438
00:24:59,560 --> 00:25:04,040
Speaker 1: lie abo out me and say I'm racist, sexist, homophobic, xenophobic, islamophobic.

439
00:25:04,080 --> 00:25:06,959
Speaker 1: I'm so sick of these lies. But anyway, you know,

440
00:25:07,040 --> 00:25:10,560
Speaker 1: my my answer is they're going to try and destroy

441
00:25:10,680 --> 00:25:15,719
Speaker 1: Donald Trump. And listen to me, clearly, they are going

442
00:25:15,880 --> 00:25:20,159
Speaker 1: to try to destroy Donald Trump. De legitimize him to

443
00:25:20,200 --> 00:25:23,120
Speaker 1: begin with, and then from there they're gonna look for

444
00:25:23,200 --> 00:25:26,560
Speaker 1: any little thing to take him down. That's what I

445
00:25:26,560 --> 00:25:31,159
Speaker 1: think is gonna happen. Yeah, well, I just were I

446
00:25:31,240 --> 00:25:34,200
Speaker 1: just you know, I'm curious whether or not they you know,

447
00:25:34,240 --> 00:25:35,840
Speaker 1: when you say if it's a the real threat to

448
00:25:35,920 --> 00:25:39,959
Speaker 1: it to Donald Trump and making him illegitimate, like, do

449
00:25:40,000 --> 00:25:42,520
Speaker 1: you still you still think he's gonna go through and

450
00:25:42,600 --> 00:25:44,440
Speaker 1: it's it's all going to go at pointed. It's not

451
00:25:44,480 --> 00:25:47,760
Speaker 1: gonna end up being a big coup. Listen. I'm just

452
00:25:47,880 --> 00:25:50,160
Speaker 1: I know, I don't think they're gonna win with the electors,

453
00:25:50,200 --> 00:25:51,520
Speaker 1: and if they do, it will go to the House

454
00:25:51,520 --> 00:25:54,159
Speaker 1: of Representatives and he will be the president. But the

455
00:25:54,200 --> 00:25:56,400
Speaker 1: fact that they're willing to put the country through all

456
00:25:56,440 --> 00:25:59,280
Speaker 1: of this, and you have the fingerprints of Hillary and

457
00:25:59,359 --> 00:26:03,120
Speaker 1: Obama all over these things tells you everything you need

458
00:26:03,160 --> 00:26:08,359
Speaker 1: to know about how bitter and angry they are. It's horrible. Anyway,

459
00:26:08,359 --> 00:26:11,439
Speaker 1: I'm reading an article here. If I can just uh

460
00:26:11,640 --> 00:26:14,600
Speaker 1: control all the lead, let's see if that works. All right?

461
00:26:15,040 --> 00:26:18,960
Speaker 1: All right, No, still didn't work. Apparently Roger Clinton was

462
00:26:19,320 --> 00:26:21,560
Speaker 1: jailed after d y R S. Did you see that?

463
00:26:22,720 --> 00:26:25,360
Speaker 1: I'll get those details in a minute. IBM. By the way,

464
00:26:25,359 --> 00:26:28,280
Speaker 1: he's gonna put twenty five new jobs they're gonna add.

465
00:26:29,280 --> 00:26:32,360
Speaker 1: I guess everybody's feeling confident about the future of the economy.

466
00:26:32,440 --> 00:26:36,960
Speaker 1: Felix is in Pennsylvania. Felix, how are you, Sean? I

467
00:26:36,960 --> 00:26:38,600
Speaker 1: am good. It's a pleasure to talk to you. I

468
00:26:38,600 --> 00:26:41,120
Speaker 1: love you. Man. Hey, I got a real problem. I've

469
00:26:41,119 --> 00:26:44,080
Speaker 1: been a one percent Donald shump guy from the very beginning,

470
00:26:44,119 --> 00:26:46,320
Speaker 1: even through the primary. I looked into, what you know,

471
00:26:46,480 --> 00:26:48,560
Speaker 1: his points of view, and I thought he was the

472
00:26:48,600 --> 00:26:50,920
Speaker 1: man for the job. But now I'm having my oh

473
00:26:51,040 --> 00:26:54,359
Speaker 1: snap with the fudge moment with Tillerson. He's a cardon

474
00:26:54,440 --> 00:26:58,840
Speaker 1: credits guy. Yeah, well that that worries me. And he's

475
00:26:58,840 --> 00:27:02,440
Speaker 1: gonna be secretaries. Listen. There are definitely positions I don't

476
00:27:02,440 --> 00:27:04,520
Speaker 1: agree with. I don't agree with his position about the

477
00:27:04,560 --> 00:27:06,959
Speaker 1: boy scouts. I don't agree with some of his social

478
00:27:07,000 --> 00:27:10,919
Speaker 1: issue positions. Um, but carbon football it's not gonna have

479
00:27:11,000 --> 00:27:14,919
Speaker 1: anything to do with with his position at State, is

480
00:27:15,000 --> 00:27:17,439
Speaker 1: my guest, Because I don't think Donald Trump is signing

481
00:27:17,440 --> 00:27:21,879
Speaker 1: on to this climate change, global warming, global cooling nonsense.

482
00:27:22,760 --> 00:27:26,119
Speaker 1: And Donald Trump believes an energy independence and listen, Remember

483
00:27:26,160 --> 00:27:29,800
Speaker 1: it's the president that sets policy, not the Secretary of State. Yeah,

484
00:27:29,800 --> 00:27:32,080
Speaker 1: I do understand that. But you know, when I've heard

485
00:27:32,080 --> 00:27:34,239
Speaker 1: on Rush, they said that he's gonna be dealing, you know,

486
00:27:34,359 --> 00:27:37,000
Speaker 1: with these people at the u N. And you know, yeah, no,

487
00:27:37,040 --> 00:27:40,080
Speaker 1: they're probably if he agrees with that crap. And you know,

488
00:27:40,160 --> 00:27:42,520
Speaker 1: I gotta tell you another thing I've learned. He's a businessman.

489
00:27:43,000 --> 00:27:47,440
Speaker 1: He might have just taken that position just for the

490
00:27:47,520 --> 00:27:51,000
Speaker 1: benefit of his company. Now understand what I'm saying, if

491
00:27:51,000 --> 00:27:53,760
Speaker 1: he understands the reality is he's dealing with these countries

492
00:27:53,800 --> 00:27:57,280
Speaker 1: that believe this nonsense. Sometimes they kind of will say

493
00:27:57,280 --> 00:28:00,240
Speaker 1: those things just to get their businesses up in unning

494
00:28:00,280 --> 00:28:02,680
Speaker 1: and and fully operational. And it really has nothing to

495
00:28:02,760 --> 00:28:05,399
Speaker 1: do with his real views. But again, if anything like

496
00:28:05,440 --> 00:28:08,080
Speaker 1: that happens, I'm gonna be the loudest critic. You know.

497
00:28:08,119 --> 00:28:11,440
Speaker 1: If look, if Trump doesn't keep his promises, they're making mistakes.

498
00:28:11,440 --> 00:28:13,720
Speaker 1: I'll be the first to tell him. Anyway, it turns

499
00:28:13,760 --> 00:28:17,960
Speaker 1: out that Roger Clinton, this is pretty interesting, was jailed

500
00:28:18,000 --> 00:28:20,840
Speaker 1: after a d u I arrest. I guess Hillary is

501
00:28:20,840 --> 00:28:22,879
Speaker 1: not gonna have to deal with this, But anyway, he

502
00:28:22,960 --> 00:28:26,119
Speaker 1: got a two day jail sentence three years probation for

503
00:28:26,320 --> 00:28:31,439
Speaker 1: Rodondo Beach should uh d uise half brother of President

504
00:28:31,480 --> 00:28:35,000
Speaker 1: Bill Clinton a charge stemming from an arrest, and Uh,

505
00:28:35,040 --> 00:28:37,840
Speaker 1: I guess maybe there's an upside for Hillary and she

506
00:28:37,840 --> 00:28:41,800
Speaker 1: doesn't have to start answering questions about why is her

507
00:28:42,680 --> 00:28:45,560
Speaker 1: brother in law in jail? He had three times the

508
00:28:45,640 --> 00:28:49,680
Speaker 1: legal limit zero two three zero. That's pretty high number

509
00:28:50,040 --> 00:28:53,479
Speaker 1: released on fifteen thousand dollar bond. Sure Bill's yelling at

510
00:28:53,520 --> 00:28:57,200
Speaker 1: him about now. Uh, there was a story on CNN

511
00:28:57,240 --> 00:29:00,320
Speaker 1: that I know isn't true and I don't know who

512
00:29:00,440 --> 00:29:04,719
Speaker 1: leaked this anyway, this President elect Donald Trump considered Romney

513
00:29:04,760 --> 00:29:07,960
Speaker 1: for Secretary of State. Trump Trump wanted one thing Romney

514
00:29:07,960 --> 00:29:12,040
Speaker 1: wouldn't give an apology. That is absolutely I know people

515
00:29:12,120 --> 00:29:17,080
Speaker 1: that were there that I talked to when they met,

516
00:29:17,080 --> 00:29:20,400
Speaker 1: They met two times, and I'm told they got along

517
00:29:20,440 --> 00:29:24,560
Speaker 1: famously and that it wasn't an issue. Trump was willing

518
00:29:24,600 --> 00:29:27,800
Speaker 1: to move past Romney's bitter campaign trail criticisms of him

519
00:29:27,800 --> 00:29:30,240
Speaker 1: and incoming Chief of Staff Ryan's previous who chaired the

520
00:29:30,320 --> 00:29:34,280
Speaker 1: r n C during both men's presidential campaigns, convinced Trump

521
00:29:34,320 --> 00:29:36,280
Speaker 1: there was value in showing you was big enough to

522
00:29:36,320 --> 00:29:39,720
Speaker 1: bring Romney into the fold, but top aids, including Kelly

523
00:29:39,720 --> 00:29:41,520
Speaker 1: and Steve Bannon, and I thought it was a bad

524
00:29:41,560 --> 00:29:45,000
Speaker 1: idea personally, you know, two of whom were familiar. But

525
00:29:45,040 --> 00:29:49,480
Speaker 1: anyway with this they saw Romney's attacks is unforgivable. I

526
00:29:49,560 --> 00:29:52,280
Speaker 1: just don't think it would have worked anyway. See it

527
00:29:52,320 --> 00:29:54,840
Speaker 1: then has learned the Vice President elect Mike Pence and

528
00:29:54,880 --> 00:29:57,960
Speaker 1: previous also wanted Romney to apologize as a way to

529
00:29:58,040 --> 00:30:02,680
Speaker 1: smooth things over. After Conway and others attack Romney publicly

530
00:30:03,200 --> 00:30:06,120
Speaker 1: lobbying against the selection and television interviews, and more than

531
00:30:06,160 --> 00:30:09,000
Speaker 1: a week after the two had begun talking, Trump raised

532
00:30:09,000 --> 00:30:11,600
Speaker 1: the possibility of a public apology with Romney as a

533
00:30:11,640 --> 00:30:15,360
Speaker 1: way of mollifying the critics. The source said he asked

534
00:30:15,440 --> 00:30:18,600
Speaker 1: Romney to say publicly was wrong about Trump. We already

535
00:30:18,600 --> 00:30:21,160
Speaker 1: did say he was wrong about Trump, and he was

536
00:30:21,200 --> 00:30:23,800
Speaker 1: happy with the way things were going. So I don't

537
00:30:23,800 --> 00:30:25,360
Speaker 1: think that was an issue at all. Anyway, back to

538
00:30:25,360 --> 00:30:29,640
Speaker 1: our phones, as we say hi to Tom in New York, Tom,

539
00:30:29,640 --> 00:30:34,680
Speaker 1: how are you good? How I'm good? What's happening? Google

540
00:30:34,760 --> 00:30:37,600
Speaker 1: knows where the past where the emails came from, and

541
00:30:37,840 --> 00:30:41,400
Speaker 1: Eric Schmid's not saying because why he's a big supporter

542
00:30:41,520 --> 00:30:44,200
Speaker 1: of Hillary. He wanted to be her, his her outside

543
00:30:44,200 --> 00:30:47,200
Speaker 1: the advisor, and Google knows when they used the real

544
00:30:47,240 --> 00:30:50,640
Speaker 1: password for John dot Podest at gmail dot com, and

545
00:30:50,680 --> 00:30:53,120
Speaker 1: they used the real password to get into the account,

546
00:30:53,160 --> 00:30:55,720
Speaker 1: to have an I P addressed exactly where those hackers

547
00:30:55,800 --> 00:30:58,280
Speaker 1: came from. But no one's brought this up. I think

548
00:30:58,320 --> 00:31:01,920
Speaker 1: it's really a key point that Trump's gotta focus on PAP.

549
00:31:02,080 --> 00:31:05,680
Speaker 1: In other words, you're saying that there is forensic evidence,

550
00:31:05,720 --> 00:31:09,760
Speaker 1: shot fire, accurate forensic evidence. If we wanted it, it's

551
00:31:09,760 --> 00:31:14,600
Speaker 1: there absolutely, And the email that they got, which they

552
00:31:15,280 --> 00:31:19,480
Speaker 1: the fishing email, said someone hacked your email from Ukraine.

553
00:31:20,000 --> 00:31:23,840
Speaker 1: So Google, every time someone logs into your account, collects

554
00:31:24,000 --> 00:31:27,200
Speaker 1: a forensic piece of evidence, a fingerprint if you will,

555
00:31:27,680 --> 00:31:31,080
Speaker 1: that says exactly where you're logging into your account from. Now,

556
00:31:31,120 --> 00:31:34,040
Speaker 1: since the hackers had the real password of John Podesta,

557
00:31:34,600 --> 00:31:38,240
Speaker 1: they were able to log in basically without any uh

558
00:31:38,360 --> 00:31:42,880
Speaker 1: sophisticated hacking expertise. It says, if you gave your password

559
00:31:42,960 --> 00:31:46,320
Speaker 1: to your assistant and they log in, the Google knows

560
00:31:46,400 --> 00:31:48,800
Speaker 1: exactly where that log in came from. Now, why hasn't

561
00:31:48,840 --> 00:31:51,440
Speaker 1: Google come out and said yess. It's a good points

562
00:31:51,480 --> 00:31:52,960
Speaker 1: in a great point. You know the other day I

563
00:31:53,000 --> 00:31:56,080
Speaker 1: actually had come up on one of my computers devices.

564
00:31:56,960 --> 00:31:59,560
Speaker 1: Uh and by the way, I have I'm not gonna

565
00:31:59,640 --> 00:32:03,840
Speaker 1: expose is everything. I just have multiple how do you

566
00:32:03,880 --> 00:32:10,640
Speaker 1: say this? Right? Multiple things that I used to avoid

567
00:32:10,760 --> 00:32:14,600
Speaker 1: who I really am. That's why I use life flock.

568
00:32:15,160 --> 00:32:17,000
Speaker 1: But anyway, they can't find it if they want to.

569
00:32:17,320 --> 00:32:19,200
Speaker 1: That's such a good point. Anyway, thanks for the call,

570
00:32:19,280 --> 00:32:23,320
Speaker 1: tom So. But I have to tell you they were

571
00:32:23,400 --> 00:32:30,520
Speaker 1: devastated on November eight. They would gova start. They were devastating.

572
00:32:32,280 --> 00:32:36,320
Speaker 1: Should I go over that evening just once quickly? So

573
00:32:37,440 --> 00:32:41,600
Speaker 1: it began with phony exit pulse and I got a

574
00:32:41,640 --> 00:32:45,400
Speaker 1: call from my daughter at about five o'clock and she

575
00:32:45,600 --> 00:32:49,040
Speaker 1: was called by people in the in their business and

576
00:32:49,120 --> 00:32:51,640
Speaker 1: her husband, Jared, great guy, he was called and they

577
00:32:51,680 --> 00:32:55,560
Speaker 1: called me and they said, I'm sorry, Dad, it looks

578
00:32:55,600 --> 00:32:59,920
Speaker 1: really bad, looks really really bad. I said, what's the problem.

579
00:33:00,040 --> 00:33:03,760
Speaker 1: Tell me now I was doing. It's very interesting because

580
00:33:03,760 --> 00:33:05,640
Speaker 1: I really assumed I lost. You know, look, I believe

581
00:33:05,720 --> 00:33:08,400
Speaker 1: that these things are supposed to be correct, So I

582
00:33:08,440 --> 00:33:10,880
Speaker 1: sort of thought I lost, and I was okay with it.

583
00:33:10,880 --> 00:33:13,320
Speaker 1: I wouldn't say great. Fact, they called my vice president

584
00:33:13,360 --> 00:33:15,680
Speaker 1: and I said, it's not looking good, right, Mike, I said,

585
00:33:15,720 --> 00:33:19,280
Speaker 1: not looking good, you're getting the same number's getting. Of course,

586
00:33:19,280 --> 00:33:21,280
Speaker 1: you know a lot of it is phony stuff too,

587
00:33:21,320 --> 00:33:24,920
Speaker 1: because they'll say Donald Trump is a bad person. Do

588
00:33:25,000 --> 00:33:28,720
Speaker 1: you agree or not? So people would say yeah, no,

589
00:33:28,880 --> 00:33:31,600
Speaker 1: but it's easier then they have yes in a big

590
00:33:31,640 --> 00:33:33,360
Speaker 1: box like that, and they have no. You can't find.

591
00:33:34,240 --> 00:33:36,479
Speaker 1: So you know a lot of it's phony deals going on.

592
00:33:36,560 --> 00:33:38,680
Speaker 1: But but I will tell you. So I got the

593
00:33:38,720 --> 00:33:41,800
Speaker 1: call and they said looks bad. It looks really bad,

594
00:33:42,240 --> 00:33:44,200
Speaker 1: and they want to be nice to me. This is

595
00:33:44,600 --> 00:33:47,480
Speaker 1: there talking this way because they wanted to be nice.

596
00:33:47,520 --> 00:33:52,240
Speaker 1: They actually thought we might lose strongly. So I said,

597
00:33:52,280 --> 00:33:55,760
Speaker 1: don't worry about it. Don't worry about it. Whatever happens happens. Now.

598
00:33:56,320 --> 00:33:59,200
Speaker 1: For the last month, I didn't do interviews. All I

599
00:33:59,240 --> 00:34:02,880
Speaker 1: did was the least I did three a day. I

600
00:34:03,000 --> 00:34:08,000
Speaker 1: did three or there for the last For the last month,

601
00:34:08,040 --> 00:34:10,400
Speaker 1: I decided not to do interviews because they give you

602
00:34:10,440 --> 00:34:12,759
Speaker 1: interviews and they chop up your sentences and they got

603
00:34:12,800 --> 00:34:16,279
Speaker 1: I'm short, You'll have this beautiful flowing sentence where the

604
00:34:16,320 --> 00:34:18,680
Speaker 1: back of the sentence reverted to the front and then

605
00:34:18,760 --> 00:34:20,759
Speaker 1: cut the back of the sentence off, and I'd say,

606
00:34:20,800 --> 00:34:23,040
Speaker 1: I never said that. So I said, you know what,

607
00:34:23,080 --> 00:34:26,560
Speaker 1: I'm not gonna deal They're very dishonest people. I said, no,

608
00:34:28,719 --> 00:34:31,719
Speaker 1: I said, I'm not going to deal with them. I

609
00:34:31,760 --> 00:34:33,600
Speaker 1: read the New York Times. I read all the things,

610
00:34:33,800 --> 00:34:36,480
Speaker 1: and I realized that the Democrats are not going to

611
00:34:36,560 --> 00:34:38,440
Speaker 1: do what they have to do to stop him, that

612
00:34:38,520 --> 00:34:42,080
Speaker 1: the Democrats are rolling over unless they're changing it. Right now,

613
00:34:42,400 --> 00:34:45,960
Speaker 1: we have a chance to stop Trump with the electoral College.

614
00:34:46,160 --> 00:34:49,480
Speaker 1: They're about to vote, and according to the constitution, in

615
00:34:49,560 --> 00:34:52,960
Speaker 1: Alexander Hamilton's these are the reasons they can vote against him.

616
00:34:53,160 --> 00:34:57,520
Speaker 1: This is the constitution. Foreign involvement in the election number

617
00:34:57,520 --> 00:35:04,600
Speaker 1: one check. We all know that the Russians hacked into

618
00:35:04,640 --> 00:35:08,800
Speaker 1: the whole thing. His business ties have already introduced on

619
00:35:08,920 --> 00:35:12,640
Speaker 1: parallels and unconstitutional conflicts of interest. He's not given up.

620
00:35:12,680 --> 00:35:14,640
Speaker 1: Is he given up his golf course in Scotland? I

621
00:35:14,680 --> 00:35:17,319
Speaker 1: don't think so. Is he given up his Trump coach

622
00:35:17,400 --> 00:35:20,799
Speaker 1: hal In Istanbul, I don't think so. He has postponed

623
00:35:20,960 --> 00:35:23,600
Speaker 1: his um what is it they press conference he was

624
00:35:23,640 --> 00:35:26,319
Speaker 1: supposed to have to announce all of a sudden, we're

625
00:35:26,360 --> 00:35:28,760
Speaker 1: not going to hear about it until after the inauguration.

626
00:35:29,840 --> 00:35:33,479
Speaker 1: And the third thing, of course that Jack but Jack.

627
00:35:35,239 --> 00:35:38,920
Speaker 1: The third thing, of course is that Hamilton's was wanted

628
00:35:38,960 --> 00:35:42,800
Speaker 1: to prevent voters from the influence of outside actors, bullies,

629
00:35:42,840 --> 00:35:46,000
Speaker 1: demigods and populism, which has got what got him in,

630
00:35:46,800 --> 00:35:49,960
Speaker 1: as Hamilton's put in an unqualified candidate who won over

631
00:35:49,960 --> 00:35:53,040
Speaker 1: the masses with his talents below intrigue and the little

632
00:35:53,160 --> 00:36:01,399
Speaker 1: arts of popularity read that, you know, celebrity checked. In conclusion,

633
00:36:03,040 --> 00:36:06,760
Speaker 1: these are the criteria with with which the electors should

634
00:36:06,760 --> 00:36:16,080
Speaker 1: be voting against Trump. The patriotic Americans, alright, our to

635
00:36:16,320 --> 00:36:19,040
Speaker 1: the insanity continues, as you can hear here, and it's

636
00:36:19,080 --> 00:36:22,160
Speaker 1: it's only the tip of the iceberg. In terms of

637
00:36:22,200 --> 00:36:26,399
Speaker 1: the left and their continuous meltdown. It just never ends.

638
00:36:26,880 --> 00:36:29,280
Speaker 1: You know. You can compare and contrast how they treated

639
00:36:29,320 --> 00:36:31,560
Speaker 1: Obama and oh way to how they're treating Trump. Now

640
00:36:31,560 --> 00:36:33,920
Speaker 1: that is exactly the opposite. As I was mentioning in

641
00:36:33,920 --> 00:36:37,120
Speaker 1: the last hour. Anyway, eight nine four one, Shawn toll

642
00:36:37,200 --> 00:36:40,360
Speaker 1: Free telephone number, former Speaker of the House, New Gingrich

643
00:36:40,680 --> 00:36:44,759
Speaker 1: is with us. So first they tried the recount. Then

644
00:36:44,800 --> 00:36:48,400
Speaker 1: they try the Russians hacked into it, until we found

645
00:36:48,440 --> 00:36:52,320
Speaker 1: out there's no new information, no new evidence. The FBI

646
00:36:52,480 --> 00:36:56,080
Speaker 1: and the National Director of Intelligence totally disagree with the

647
00:36:56,120 --> 00:37:01,120
Speaker 1: politicized uh C I A analysis in a minute stration analysis.

648
00:37:01,680 --> 00:37:04,359
Speaker 1: Then we learned that, in fact Obama was briefed on

649
00:37:04,560 --> 00:37:07,239
Speaker 1: Russia's DNC hack, but he didn't do anything about it,

650
00:37:07,320 --> 00:37:10,120
Speaker 1: nor did he do anything for ten years about wiki leaks.

651
00:37:10,160 --> 00:37:12,200
Speaker 1: And now we just keep hearing that all the electors

652
00:37:12,200 --> 00:37:16,040
Speaker 1: are being intimidated into not voting for Donald Trump, which

653
00:37:16,080 --> 00:37:21,239
Speaker 1: they are obligated to do. What's your reaction, Well, I

654
00:37:21,239 --> 00:37:24,080
Speaker 1: think this is a good taste of what the next

655
00:37:24,120 --> 00:37:27,200
Speaker 1: eight years are going to be like pretty much not

656
00:37:27,560 --> 00:37:29,719
Speaker 1: you know, the less not going to give up. They're

657
00:37:29,719 --> 00:37:33,680
Speaker 1: gonna fight very hard to do everything they can to

658
00:37:33,840 --> 00:37:38,640
Speaker 1: either beat Trump, to weaken the administration, to isolated, to

659
00:37:38,800 --> 00:37:42,120
Speaker 1: slow down change. I mean, we're we're talking here about

660
00:37:42,160 --> 00:37:44,920
Speaker 1: the end of their world. You know, Donald Trump is

661
00:37:44,960 --> 00:37:48,200
Speaker 1: the real deal. He he is the first decisive change

662
00:37:48,600 --> 00:37:53,560
Speaker 1: since much bigger, much deeper than Ronald Reagan. Uh And

663
00:37:53,640 --> 00:37:56,120
Speaker 1: the left knows that, and they're they're facing, you know,

664
00:37:56,239 --> 00:37:59,160
Speaker 1: they're facing the end of their way of life. You

665
00:37:59,160 --> 00:38:01,840
Speaker 1: know what's it interesting is you've lived through this, and

666
00:38:02,200 --> 00:38:04,319
Speaker 1: I assume you're probably I remember you wrote a book

667
00:38:04,400 --> 00:38:06,840
Speaker 1: years ago called Lessons Learned the Hard Way after you

668
00:38:07,120 --> 00:38:09,360
Speaker 1: left being Speaker of the House. I actually think it

669
00:38:09,400 --> 00:38:14,080
Speaker 1: was one of your more reflective, thoughtful books, a personal journey,

670
00:38:14,120 --> 00:38:16,800
Speaker 1: if you will. So I would think that you could

671
00:38:16,840 --> 00:38:19,839
Speaker 1: probably transfer some of those lessons to Trump and warn

672
00:38:19,960 --> 00:38:22,239
Speaker 1: him what's about to happen and how they will try

673
00:38:22,239 --> 00:38:26,000
Speaker 1: to delegitimize him. That's right, and I think they affect

674
00:38:26,040 --> 00:38:28,800
Speaker 1: I'm on the way up now to see the Trump

675
00:38:28,840 --> 00:38:32,840
Speaker 1: folks I'm talking to using the National Airport in Washington.

676
00:38:33,480 --> 00:38:38,920
Speaker 1: That the fact is we should understand this is life

677
00:38:39,000 --> 00:38:42,160
Speaker 1: and death if you're on the left. So they're not

678
00:38:42,200 --> 00:38:45,040
Speaker 1: going to give it. This is not a good government

679
00:38:45,040 --> 00:38:48,720
Speaker 1: election to the legal and voters. It's not the PTA meeting.

680
00:38:49,239 --> 00:38:53,640
Speaker 1: This is power over the most powerful national world. Trump

681
00:38:53,920 --> 00:38:57,160
Speaker 1: is further scaring them because of the quality of the

682
00:38:57,200 --> 00:39:00,640
Speaker 1: cabinet he's appointing. I mean, he has bring in people

683
00:39:00,760 --> 00:39:03,800
Speaker 1: that nobody thought you could bring in, and it is

684
00:39:03,840 --> 00:39:06,600
Speaker 1: going to be such a powerhouse of a cabinet and

685
00:39:06,640 --> 00:39:08,839
Speaker 1: they're all going to be winners, and they're all going

686
00:39:08,880 --> 00:39:10,960
Speaker 1: to have an attitude and let's go get this job done.

687
00:39:11,560 --> 00:39:14,880
Speaker 1: In Washington hasn't seen anything like this in my lifetimes.

688
00:39:14,960 --> 00:39:17,160
Speaker 1: It is going to be absolutely amazing. You see, I

689
00:39:17,200 --> 00:39:19,319
Speaker 1: agree with you. So you gave a speech and that's

690
00:39:19,360 --> 00:39:21,239
Speaker 1: really one of the main reasons I wanted to have

691
00:39:21,320 --> 00:39:24,440
Speaker 1: you on today at the Heritage Foundation. Describing what you

692
00:39:24,520 --> 00:39:27,640
Speaker 1: call Trump is um I feel. Yesterday morning, it's available

693
00:39:27,960 --> 00:39:31,160
Speaker 1: both at Game of Productions and a Heritage of people

694
00:39:31,160 --> 00:39:34,040
Speaker 1: want to look at it. Over seventy five thousand people

695
00:39:34,080 --> 00:39:37,799
Speaker 1: watch it yesterday English Productions. It was also live on

696
00:39:37,880 --> 00:39:41,000
Speaker 1: c SPAN, and I was I'm trying to describe the

697
00:39:41,040 --> 00:39:45,360
Speaker 1: concept that this is about more than just Donald J. Trump.

698
00:39:45,560 --> 00:39:48,799
Speaker 1: This is a movement, it's a way of thinking, it's

699
00:39:48,840 --> 00:39:54,120
Speaker 1: an approach. Uh. Just it has very profound impact. In fact,

700
00:39:54,160 --> 00:39:56,720
Speaker 1: they give a speech this morning at the National Offense

701
00:39:56,800 --> 00:40:00,560
Speaker 1: University on the strategic implications of Trump as a in

702
00:40:01,400 --> 00:40:05,960
Speaker 1: rethinking national security. How big a change it is, Uh,

703
00:40:06,000 --> 00:40:08,920
Speaker 1: It's it's a remarkable moment. To just take, for example,

704
00:40:09,320 --> 00:40:12,719
Speaker 1: the choice of General Maddis to be Sexuary Defense. This

705
00:40:12,880 --> 00:40:16,320
Speaker 1: will require a waiver for a general officer to service

706
00:40:16,360 --> 00:40:18,840
Speaker 1: sexual defense, which has only been given one of the

707
00:40:18,920 --> 00:40:23,680
Speaker 1: time in ninety for George Cadvin Marshall and during the

708
00:40:23,719 --> 00:40:26,520
Speaker 1: Korean War. And yet Trumps some of these reactions, well,

709
00:40:26,520 --> 00:40:29,680
Speaker 1: of course we can get this done. And everybody Democrats

710
00:40:29,719 --> 00:40:33,200
Speaker 1: and Republicans alike, probably said, Mattis is such a great guy.

711
00:40:33,520 --> 00:40:36,320
Speaker 1: Of course he's going to get a waiver. Well, that's

712
00:40:36,360 --> 00:40:40,120
Speaker 1: so different than the world of Washington, which six weeks

713
00:40:40,160 --> 00:40:43,719
Speaker 1: ago and said, obviously you can't consider him because of

714
00:40:43,719 --> 00:40:46,719
Speaker 1: this federal law. But Trump's attitude is, look at the law,

715
00:40:46,840 --> 00:40:51,360
Speaker 1: stupid changes, but it's really a cool approach. Oh, I've

716
00:40:51,400 --> 00:40:54,920
Speaker 1: got to imagine, you know. And looking for example, if

717
00:40:54,960 --> 00:40:57,319
Speaker 1: we are to break down the Obama presidency in the

718
00:40:57,400 --> 00:40:59,960
Speaker 1: last eight years, and the fact that he used exact

719
00:41:00,040 --> 00:41:04,400
Speaker 1: kit of orders and and and the presidential Fiat to

720
00:41:04,400 --> 00:41:07,800
Speaker 1: to bypass Congress and and separation of powers and coequal

721
00:41:07,800 --> 00:41:10,960
Speaker 1: branches of government, I would imagine, and this is my breakdown,

722
00:41:11,080 --> 00:41:14,439
Speaker 1: seventy eight percent of Obama's agenda could be wiped away

723
00:41:14,480 --> 00:41:16,439
Speaker 1: with the stroke of a pen, probably in the first

724
00:41:16,480 --> 00:41:19,640
Speaker 1: few hours of a Trump administration. Then I would imagine,

725
00:41:19,680 --> 00:41:22,840
Speaker 1: as we have now heard that Obamacare being repealed and replace.

726
00:41:22,920 --> 00:41:24,960
Speaker 1: That's gonna be wiped out. So now we're at about

727
00:41:26,120 --> 00:41:29,680
Speaker 1: and really the only evidence that Barack Obama was in

728
00:41:29,680 --> 00:41:32,759
Speaker 1: the White House for the last eight years remaining will

729
00:41:32,800 --> 00:41:35,839
Speaker 1: be that he accumulated more debt than all forty three

730
00:41:35,840 --> 00:41:40,080
Speaker 1: presidents before him combined, and his judicial appointments. Short of that,

731
00:41:40,160 --> 00:41:43,040
Speaker 1: what what what else exists? Well, there's gonna be a

732
00:41:43,160 --> 00:41:47,600
Speaker 1: very nice portress. Okay, so a portrait. Every president gets

733
00:41:47,640 --> 00:41:49,840
Speaker 1: a portress somewhere in the White House. It will be

734
00:41:49,880 --> 00:41:53,799
Speaker 1: a really nice portrait. And if you're Barack Obama, now

735
00:41:53,960 --> 00:41:56,719
Speaker 1: you're thinking everything I've done for eight years is gonna

736
00:41:56,719 --> 00:41:59,040
Speaker 1: be wipe clean. It's like he never was there. What

737
00:41:59,880 --> 00:42:03,080
Speaker 1: he gonna be very bitter, very hostile, and he's gonna

738
00:42:03,120 --> 00:42:06,000
Speaker 1: go out and he's gonna attack Donald Trump regularly. Um,

739
00:42:06,160 --> 00:42:08,239
Speaker 1: that's just the fact. And what we're gonna do is wax.

740
00:42:08,360 --> 00:42:11,520
Speaker 1: It's just like dealing with the propaganda media. Um, I

741
00:42:11,560 --> 00:42:14,600
Speaker 1: want perspective of the morning. Because the pseudo conservative who

742
00:42:14,680 --> 00:42:19,080
Speaker 1: writes for the Washington Post wrote this column which she said,

743
00:42:19,400 --> 00:42:21,160
Speaker 1: but this is a cabinet, this is this is a

744
00:42:22,960 --> 00:42:25,720
Speaker 1: I can't remember her name. I think the Jennifer Jennifer

745
00:42:26,160 --> 00:42:28,640
Speaker 1: now Jennifer Ruben. I'm trying to memorize her name as

746
00:42:28,680 --> 00:42:31,200
Speaker 1: hard because she's so stupid, but she fits what would

747
00:42:31,400 --> 00:42:34,320
Speaker 1: uh You've heard me talk before about this wonderful essay

748
00:42:34,400 --> 00:42:37,920
Speaker 1: the people can google called intellectual yet idiots or I

749
00:42:38,239 --> 00:42:42,160
Speaker 1: y Iridge bashes idiots and the propaganda media. That's right,

750
00:42:42,200 --> 00:42:44,600
Speaker 1: And she's a perfect example of what to Leves talking about.

751
00:42:44,600 --> 00:42:46,799
Speaker 1: She's an intellectual yet an idiot. So she writes this

752
00:42:46,880 --> 00:42:48,520
Speaker 1: thing and says this is gonna be a cabinet. The

753
00:42:48,600 --> 00:42:52,279
Speaker 1: quote of quote Ignor Ramus is billionaires and a couple

754
00:42:52,280 --> 00:42:54,880
Speaker 1: of generals. First of all, the arrogance of a person

755
00:42:54,960 --> 00:42:58,160
Speaker 1: whose entire career has been sitting at Washington Post writing

756
00:42:58,200 --> 00:43:01,640
Speaker 1: opinion columns, deciding she will under judgment. Is she talking

757
00:43:01,680 --> 00:43:05,120
Speaker 1: about our good friend Rick Perry, the new Secretary of Energy,

758
00:43:05,239 --> 00:43:08,800
Speaker 1: who is the longest serving governor in the history of Texas.

759
00:43:08,960 --> 00:43:13,000
Speaker 1: Is she talking about the new ambassador to the United Nations,

760
00:43:13,120 --> 00:43:16,080
Speaker 1: Governor hit Nicky Haley, who actually was an accountant, ran

761
00:43:16,160 --> 00:43:18,520
Speaker 1: a small business as governor of a state. And are

762
00:43:18,560 --> 00:43:21,600
Speaker 1: these the kind of people the Jennifer Ruben is judging

763
00:43:21,760 --> 00:43:25,720
Speaker 1: as ignoramusists that she's talking about a world class, literally

764
00:43:25,760 --> 00:43:29,520
Speaker 1: world class pediatric neurosurgeon who had a movie made about

765
00:43:29,560 --> 00:43:31,880
Speaker 1: his life called Gifted Hands. This what she thinks is

766
00:43:31,920 --> 00:43:34,279
Speaker 1: a n ignoramus. I'm you're gonna hear me in the

767
00:43:34,320 --> 00:43:37,359
Speaker 1: next year take on the left wing media harder than

768
00:43:37,400 --> 00:43:39,840
Speaker 1: we ever took on Hillary Clinton, because I am sick

769
00:43:39,920 --> 00:43:43,440
Speaker 1: of the arrogance and the stupidity people who who parade

770
00:43:43,480 --> 00:43:45,919
Speaker 1: themselves forth as though they know something. You know, It's

771
00:43:45,920 --> 00:43:49,200
Speaker 1: funny because over at red State, which was once a

772
00:43:49,280 --> 00:43:51,800
Speaker 1: pretty good website run by her friend Eric Ericson and

773
00:43:51,880 --> 00:43:53,920
Speaker 1: has been sold. I mean, I had this woman writing

774
00:43:53,960 --> 00:43:56,400
Speaker 1: the other day that I'm a racist because I retweeted

775
00:43:56,400 --> 00:43:58,920
Speaker 1: a picture of somebody rubbing their face and cheetahs, and

776
00:43:58,960 --> 00:44:01,080
Speaker 1: apparently there was some word that I've never even heard

777
00:44:01,120 --> 00:44:04,239
Speaker 1: of before in the thing, and that's an alt right term.

778
00:44:04,400 --> 00:44:06,400
Speaker 1: And I'm like, I don't I never heard of alt

779
00:44:06,600 --> 00:44:09,920
Speaker 1: right until this election cycle. Have you? First of all,

780
00:44:10,200 --> 00:44:13,080
Speaker 1: what are you rubbing their face? And yeah, to have

781
00:44:13,120 --> 00:44:18,480
Speaker 1: an orange face like Trump? That's comment they had, Wait,

782
00:44:18,800 --> 00:44:21,439
Speaker 1: did you ever know? Well, apparently the guy used something.

783
00:44:21,480 --> 00:44:23,719
Speaker 1: The guy, the guy that had put the picture up

784
00:44:23,719 --> 00:44:26,200
Speaker 1: and the video up had a word that she is

785
00:44:26,239 --> 00:44:28,680
Speaker 1: claiming as an alt right term, and then she tried

786
00:44:28,719 --> 00:44:30,799
Speaker 1: to take the word even though I was tweeting the

787
00:44:30,880 --> 00:44:34,440
Speaker 1: video and say, this is evidence that Sean Hannity's adopted

788
00:44:34,480 --> 00:44:37,600
Speaker 1: all right positions. Now, I never heard of all right

789
00:44:37,680 --> 00:44:40,680
Speaker 1: before this election cycle. I didn't. I didn't either. I mean,

790
00:44:40,800 --> 00:44:44,280
Speaker 1: maybe alt right is our org as stupid left. Yeah,

791
00:44:44,320 --> 00:44:47,120
Speaker 1: I have no idea. I call it the alt radical

792
00:44:47,200 --> 00:44:49,560
Speaker 1: left now because I'm just playing on their stupid games.

793
00:44:49,640 --> 00:44:51,680
Speaker 1: And I think I start talking about the stupid left.

794
00:44:51,719 --> 00:44:53,840
Speaker 1: These are people who may have PhDs and tenures, but

795
00:44:53,840 --> 00:44:56,960
Speaker 1: they're stupid. You know, I will say this. Look, here's

796
00:44:57,000 --> 00:44:59,759
Speaker 1: to me what I know. I'm repeating myself, but I

797
00:44:59,760 --> 00:45:02,720
Speaker 1: think it bears repeating to me. This is simple originalists

798
00:45:02,760 --> 00:45:07,040
Speaker 1: on the Supreme Court. Repatriation, low taxes, UH seven brackets

799
00:45:07,040 --> 00:45:10,359
Speaker 1: to three fiftcent corporate rate, get rid of Obamacare, health

800
00:45:10,400 --> 00:45:14,080
Speaker 1: savings accounts, open up all energy so we become energy independent,

801
00:45:14,200 --> 00:45:18,480
Speaker 1: create jobs, have the security benefits, help our Western European friends.

802
00:45:18,920 --> 00:45:21,040
Speaker 1: Term limits. I still love that idea. In draining the

803
00:45:21,040 --> 00:45:24,040
Speaker 1: corrupt swamp, education back to states, build the wall and

804
00:45:24,120 --> 00:45:26,160
Speaker 1: have a strong military and fix the v A. What's

805
00:45:26,160 --> 00:45:28,399
Speaker 1: so hard about this, Well, getting it does it will

806
00:45:28,440 --> 00:45:30,120
Speaker 1: be hard because the left is going to fight us

807
00:45:30,239 --> 00:45:34,399
Speaker 1: every single we just this is the right things to do.

808
00:45:34,600 --> 00:45:36,480
Speaker 1: I'll tell you what my standard is. I wake up

809
00:45:36,520 --> 00:45:39,240
Speaker 1: every morning and I am so happy that Hillary Clinton

810
00:45:39,320 --> 00:45:41,480
Speaker 1: is not going to be president that there's almost nothing

811
00:45:41,560 --> 00:45:44,160
Speaker 1: Donald J. Trump can do to make merricated. I just think,

812
00:45:44,160 --> 00:45:47,040
Speaker 1: you know, compared to how miserable I feel right now,

813
00:45:47,120 --> 00:45:49,080
Speaker 1: if we were looking at the Clinton cabinet, can you

814
00:45:49,120 --> 00:45:51,160
Speaker 1: imagine the gap? So we gotta do this. We're gonna

815
00:45:51,160 --> 00:45:52,600
Speaker 1: try to figure out who would she have picked and

816
00:45:52,719 --> 00:45:54,920
Speaker 1: compare them to who he has picked. I mean, his

817
00:45:55,080 --> 00:45:59,160
Speaker 1: cabinet is so superior you want to laugh. Unbelievable. All right.

818
00:45:59,239 --> 00:46:02,080
Speaker 1: So this is how they're describing Donald Trump's picks in

819
00:46:02,120 --> 00:46:04,760
Speaker 1: the in the liberal media. Was in NewsBusters today, racially

820
00:46:04,800 --> 00:46:09,680
Speaker 1: in sensitive hardline radicals. Ignor ramis is calamity to the poor,

821
00:46:09,800 --> 00:46:13,640
Speaker 1: an environmental disaster. When Obama made his cabinet picks in Oait,

822
00:46:13,760 --> 00:46:17,120
Speaker 1: they were hailed as a diverse mosaic and all star teams,

823
00:46:17,200 --> 00:46:21,879
Speaker 1: superstar geniuses, full of brain power. Um, a team of geniuses,

824
00:46:22,320 --> 00:46:25,280
Speaker 1: you know, I mean, it's so obvious that the media

825
00:46:25,360 --> 00:46:28,400
Speaker 1: hasn't learned a thing being so wrong in this election.

826
00:46:29,040 --> 00:46:31,960
Speaker 1: To say, the example of Nicki Haley, Indian American small

827
00:46:32,040 --> 00:46:35,640
Speaker 1: businesswoman becomes governor of South Carolina, now appointed to be

828
00:46:35,719 --> 00:46:38,279
Speaker 1: the Investor of the US. If she were liberal Democrats,

829
00:46:38,280 --> 00:46:40,520
Speaker 1: they would be swooning over her. She would get the

830
00:46:40,560 --> 00:46:43,759
Speaker 1: cover of all the women's magazines, you know, an example

831
00:46:43,840 --> 00:46:47,040
Speaker 1: of American success. But because she's a Republican, they don't

832
00:46:47,080 --> 00:46:48,359
Speaker 1: know what to do with it. They know they can't

833
00:46:48,400 --> 00:46:51,000
Speaker 1: quite attack. It's very hard to see, it's very hard

834
00:46:51,040 --> 00:46:52,840
Speaker 1: to say she's a sexist, so they actually don't know

835
00:46:52,840 --> 00:46:54,440
Speaker 1: anything to say about it. All right, Well, we're going

836
00:46:54,480 --> 00:46:57,759
Speaker 1: to continue this discussion on TV tonight. I'm actually doing

837
00:46:57,800 --> 00:46:59,840
Speaker 1: something I think you'll like. You talk about Trump is

838
00:47:00,000 --> 00:47:01,799
Speaker 1: and I'm gonna have you explained that tonight, and I'm

839
00:47:01,840 --> 00:47:04,120
Speaker 1: going to lay out the history of why what Donald

840
00:47:04,160 --> 00:47:06,400
Speaker 1: Trump is going to do on the economy work for

841
00:47:06,480 --> 00:47:08,480
Speaker 1: Kennedy and Reagan, and I hope you'll be able to

842
00:47:08,520 --> 00:47:10,440
Speaker 1: see it. Yeah, I'm looking forward to it. And by

843
00:47:10,480 --> 00:47:13,080
Speaker 1: the way, I do have a new book called Electing Trump,

844
00:47:13,080 --> 00:47:15,120
Speaker 1: which is now that's right, Yeah, it's it's an e book.

845
00:47:15,200 --> 00:47:17,440
Speaker 1: It's an e book on Amazon, and it's on my website,

846
00:47:17,440 --> 00:47:19,560
Speaker 1: Hannity dot com. And it's just great, great fun. I

847
00:47:19,600 --> 00:47:21,120
Speaker 1: look forward tonight it's going I'm gonna be on the

848
00:47:21,160 --> 00:47:22,480
Speaker 1: set with you. I'm on the way to New York.

849
00:47:22,480 --> 00:47:24,680
Speaker 1: All right, we'll see you then, Thank you, Mr Speaker. Alright,

850
00:47:25,440 --> 00:47:27,879
Speaker 1: one Shawn told free telephone number. I think it's really

851
00:47:27,920 --> 00:47:33,439
Speaker 1: important for everybody to understand what our challenges. Russia trying

852
00:47:33,480 --> 00:47:37,640
Speaker 1: to influence our elections dates back to the Soviet Union.

853
00:47:37,840 --> 00:47:41,960
Speaker 1: What they did here hacking some emails and releasing them, uh,

854
00:47:42,400 --> 00:47:50,040
Speaker 1: is not a particularly fancy brand of espionage or propaganda. Um.

855
00:47:50,239 --> 00:47:54,160
Speaker 1: We were frankly more concerned in the run up to

856
00:47:54,160 --> 00:47:59,760
Speaker 1: the election to the possibilities of vote tampering, which uh,

857
00:47:59,800 --> 00:48:02,719
Speaker 1: we did not see evidence of, and we're confident that

858
00:48:03,440 --> 00:48:06,959
Speaker 1: we could guard against. Now, of course that's Obama. Glad

859
00:48:06,960 --> 00:48:09,959
Speaker 1: you with us till the top of the hour. Oh,

860
00:48:09,960 --> 00:48:12,640
Speaker 1: this has been going on for centuries. They've always tried

861
00:48:12,680 --> 00:48:16,560
Speaker 1: to attack us. Well. Obama also laughed off the idea

862
00:48:16,680 --> 00:48:20,640
Speaker 1: that we could ever be hacked before the election, and now,

863
00:48:20,680 --> 00:48:24,480
Speaker 1: of course this is all part of the delegitimizing process

864
00:48:24,520 --> 00:48:27,239
Speaker 1: that they're involved in. With Donald Trump here to help

865
00:48:27,320 --> 00:48:30,759
Speaker 1: explain a little bit about how foreign countries try and

866
00:48:30,840 --> 00:48:34,799
Speaker 1: influence outside countries. Is John McLaughlin also go over some

867
00:48:34,840 --> 00:48:37,759
Speaker 1: poll numbers here in a minute. Um, Now, you were

868
00:48:38,280 --> 00:48:42,360
Speaker 1: Prime Minister Benjamin Net Yahoo's poster in Israel in his

869
00:48:42,440 --> 00:48:46,919
Speaker 1: last election. Correct, And we have since discovered that three

870
00:48:47,000 --> 00:48:52,320
Speaker 1: hundred thousand taxpayer State Department dollars were spent to help

871
00:48:53,200 --> 00:48:56,799
Speaker 1: groups in Israel defeat Net and Yahoo that Obama had

872
00:48:56,840 --> 00:49:00,520
Speaker 1: put into the into play. Correct by the obamaustration. But

873
00:49:00,600 --> 00:49:02,520
Speaker 1: that was only the tip of the iceberg. Well, that's

874
00:49:02,560 --> 00:49:04,240
Speaker 1: what I want to talk about, the tip of the iceberg.

875
00:49:04,280 --> 00:49:07,160
Speaker 1: And so is it a fair statement you were the poster,

876
00:49:07,320 --> 00:49:09,040
Speaker 1: You were there, You were on the ground the whole

877
00:49:09,040 --> 00:49:11,360
Speaker 1: time in Israel. I talked to you every day. Is

878
00:49:11,400 --> 00:49:14,759
Speaker 1: it a fair statement to say that Barack Obama and

879
00:49:14,840 --> 00:49:19,120
Speaker 1: his cohorts tried to influence the Israeli election and hurt

880
00:49:19,200 --> 00:49:23,000
Speaker 1: Benjamin Net Yahoo and help him lose. Absolutely. They wanted

881
00:49:23,040 --> 00:49:25,640
Speaker 1: to stop him from speaking to Congress. They wanted to

882
00:49:25,680 --> 00:49:28,839
Speaker 1: silence his opposition to the Ran Deal, and they had

883
00:49:29,000 --> 00:49:31,960
Speaker 1: a superpack set up run by Jeremy Bird was the

884
00:49:32,000 --> 00:49:34,960
Speaker 1: political director for Obama for America with the One Mission,

885
00:49:34,960 --> 00:49:37,360
Speaker 1: and he had other opera Obama operators on it and

886
00:49:37,440 --> 00:49:41,879
Speaker 1: was funded by millions of dollars from Obama supporters. It

887
00:49:41,920 --> 00:49:45,280
Speaker 1: was their sole objective was to defeat Benjamin Netton. YEAHO

888
00:49:45,520 --> 00:49:48,000
Speaker 1: was it an effective effort? Was it a force to

889
00:49:48,080 --> 00:49:50,440
Speaker 1: reckon with? For you? It was at times we were

890
00:49:50,480 --> 00:49:53,400
Speaker 1: losing that race, absolutely. I mean, they were well organized

891
00:49:53,440 --> 00:49:56,640
Speaker 1: there there their machine, they know what they're doing. They're

892
00:49:56,719 --> 00:49:59,640
Speaker 1: very good and uh, at times we were losing the election,

893
00:49:59,680 --> 00:50:01,960
Speaker 1: and they are they were extremely forceful. So you know,

894
00:50:02,040 --> 00:50:03,600
Speaker 1: but when you think of how do you get to

895
00:50:03,640 --> 00:50:08,200
Speaker 1: spend three fifty dollars sent to One Voice to support

896
00:50:08,239 --> 00:50:11,840
Speaker 1: the group's effort to back Israeli Palestinian peace settlements, But

897
00:50:11,880 --> 00:50:15,600
Speaker 1: it's really used to build a voter database, train activists,

898
00:50:15,800 --> 00:50:19,520
Speaker 1: hire a political consulting firm with ties to the Obama campaign,

899
00:50:20,000 --> 00:50:23,080
Speaker 1: all of which set the stage for an anti Benjamin

900
00:50:23,080 --> 00:50:25,719
Speaker 1: net and Yahoo campaign, right, And they did, and the

901
00:50:25,800 --> 00:50:28,960
Speaker 1: Congress did, Republicans like Senator de Portman in Ohio, they

902
00:50:28,960 --> 00:50:33,000
Speaker 1: did President investigation. Claire McCaskill, the Democrat from Missouri, reported

903
00:50:33,040 --> 00:50:34,880
Speaker 1: on it. But the mainstream media doesn't pick it up

904
00:50:34,960 --> 00:50:37,000
Speaker 1: in the mainstream media, you know, I mean in this

905
00:50:37,080 --> 00:50:39,600
Speaker 1: you know, we did this new survey for Secure America Now,

906
00:50:39,640 --> 00:50:42,480
Speaker 1: which we posted on our website of McLaughlan online dot com.

907
00:50:42,520 --> 00:50:44,239
Speaker 1: And one of the results of that poll is when

908
00:50:44,239 --> 00:50:47,200
Speaker 1: we asked them, is the media biased against President elect Trump?

909
00:50:47,280 --> 00:50:51,480
Speaker 1: And say yes? And only thirty percent SAT is not

910
00:50:51,719 --> 00:50:54,799
Speaker 1: biased against them. So the majority of Americans see our

911
00:50:54,840 --> 00:50:57,960
Speaker 1: media is as in effect our opposition. They've they've lost

912
00:50:57,960 --> 00:51:00,919
Speaker 1: all credibility to mainstream media. Well, I agree with all

913
00:51:00,960 --> 00:51:03,680
Speaker 1: of that, and I mean that's the thing about this,

914
00:51:03,760 --> 00:51:06,200
Speaker 1: all right, let me move on to the survey. I

915
00:51:06,280 --> 00:51:10,160
Speaker 1: was fascinated by it. Now we have of American voters

916
00:51:10,160 --> 00:51:12,960
Speaker 1: say that, in fact, the election was fairly conducted. Only

917
00:51:14,320 --> 00:51:18,520
Speaker 1: of the hardcore radical conspiracy believing Michael Moore left, the

918
00:51:18,880 --> 00:51:22,920
Speaker 1: radical left say no. Uh, even Clinton voters most of

919
00:51:22,960 --> 00:51:26,640
Speaker 1: them don't say yes. So it's it's it's the Americans

920
00:51:26,680 --> 00:51:29,839
Speaker 1: see this is a fairly conducted election, spy the propaganda.

921
00:51:29,920 --> 00:51:32,920
Speaker 1: And also you have almost seven tien voters stent say

922
00:51:32,960 --> 00:51:36,080
Speaker 1: that Hillary Obama and Hillary should urge these protests is

923
00:51:36,160 --> 00:51:38,879
Speaker 1: to accept the election result even the Clinton voters say

924
00:51:38,960 --> 00:51:42,920
Speaker 1: they should for listen to this. For example, I want

925
00:51:42,920 --> 00:51:46,080
Speaker 1: to play Barack Obama. This is in October, lecturing Donald

926
00:51:46,080 --> 00:51:48,719
Speaker 1: Trump to stop whining. But but the larger point that

927
00:51:48,760 --> 00:51:52,399
Speaker 1: I want to emphasize here is that there is no

928
00:51:52,560 --> 00:51:56,480
Speaker 1: serious person out there who would suggest somehow that you

929
00:51:56,520 --> 00:52:01,160
Speaker 1: could even you could even rig America's alife, in part

930
00:52:01,239 --> 00:52:05,800
Speaker 1: because they're so decentralized and the numbers of votes involved,

931
00:52:05,880 --> 00:52:08,760
Speaker 1: there's no evidence that that has happened in the past,

932
00:52:09,280 --> 00:52:12,120
Speaker 1: or that there are instances in which that will happen

933
00:52:12,200 --> 00:52:16,000
Speaker 1: this time. And so uh, I'd arovide Mr Trump to

934
00:52:16,080 --> 00:52:18,560
Speaker 1: stop winding and go try to make his case to

935
00:52:18,600 --> 00:52:21,520
Speaker 1: get votes. And if he got the most votes, then

936
00:52:21,960 --> 00:52:26,200
Speaker 1: it would be my expectation of Hillary Clinton to offer

937
00:52:26,239 --> 00:52:29,600
Speaker 1: a gracious concession speech and pledge to work with him

938
00:52:29,640 --> 00:52:33,960
Speaker 1: in order to make sure that the American people benefit

939
00:52:34,000 --> 00:52:36,160
Speaker 1: from an effective government. And it would be my job

940
00:52:36,239 --> 00:52:39,560
Speaker 1: to welcome Mr Trump, regardless of what he said about

941
00:52:39,600 --> 00:52:42,600
Speaker 1: me or my differences with him on of my opinions,

942
00:52:42,719 --> 00:52:45,839
Speaker 1: and escort him over to this capital in which there

943
00:52:45,840 --> 00:52:49,120
Speaker 1: would be a peaceful transfer of power. That's what Americans do.

944
00:52:49,560 --> 00:52:53,640
Speaker 1: That's why America's already great. One way of weakening America

945
00:52:53,760 --> 00:52:57,479
Speaker 1: making it less great is if you start betraying those

946
00:52:57,520 --> 00:53:03,880
Speaker 1: basic American traditions that have been bipartisan uh and have

947
00:53:04,400 --> 00:53:07,959
Speaker 1: helped to hold together this democracy now for well over

948
00:53:08,480 --> 00:53:12,279
Speaker 1: two centuries. Now, this is Hillary Clinton lecturing Trump on

949
00:53:12,480 --> 00:53:16,080
Speaker 1: numerous occasions, is not the way our democracy works. We've

950
00:53:16,080 --> 00:53:19,120
Speaker 1: been around for two hundred and forty years. We've had

951
00:53:19,239 --> 00:53:23,000
Speaker 1: free and fair elections. We've accepted the outcomes when we

952
00:53:23,080 --> 00:53:26,280
Speaker 1: may not have liked them, and that is what must

953
00:53:26,280 --> 00:53:30,120
Speaker 1: be expected of anyone standing on a debate stage during

954
00:53:30,200 --> 00:53:32,760
Speaker 1: a general election. And then he's gone out and talked

955
00:53:32,800 --> 00:53:35,959
Speaker 1: about rigged elections that he's tried to rile up all

956
00:53:36,000 --> 00:53:41,280
Speaker 1: of his supporters and his rallies. And it's really painful

957
00:53:41,360 --> 00:53:43,840
Speaker 1: to see this. But in that last debate, he said

958
00:53:43,880 --> 00:53:49,839
Speaker 1: something truly horrifying, and that was that he wouldn't say

959
00:53:50,000 --> 00:53:53,680
Speaker 1: he would accept the results of the election. This is

960
00:53:53,760 --> 00:54:00,560
Speaker 1: his final target our democracy itself. Pretty profound. Look, they've

961
00:54:00,560 --> 00:54:04,320
Speaker 1: tried to have the recount that failed. Now they've also

962
00:54:04,480 --> 00:54:07,320
Speaker 1: tried to go out there and complain the Russians did it,

963
00:54:07,680 --> 00:54:10,239
Speaker 1: even though there's no new information. We had every bit

964
00:54:10,239 --> 00:54:13,200
Speaker 1: of information before the election, and they said everything's fine.

965
00:54:13,480 --> 00:54:16,600
Speaker 1: And now the third thing they're doing is intimidating electors

966
00:54:16,640 --> 00:54:20,279
Speaker 1: to the point where is one professor suggesting today that

967
00:54:20,400 --> 00:54:22,640
Speaker 1: they might be able to stop electors from voting for

968
00:54:22,680 --> 00:54:24,759
Speaker 1: Trump like they're supposed to. And you know what this

969
00:54:24,840 --> 00:54:28,239
Speaker 1: is all about. It's so obvious, it's so transparent. In

970
00:54:28,280 --> 00:54:30,600
Speaker 1: that poll that I mentioned, that's on our website, mclacula

971
00:54:30,680 --> 00:54:33,960
Speaker 1: online dot com, that's Secure American outdid Donald Trump has

972
00:54:34,000 --> 00:54:37,480
Speaker 1: a job approval rating that isnt positive right now to

973
00:54:37,560 --> 00:54:40,399
Speaker 1: forty one percent. The Americans approve of what he's doing.

974
00:54:40,840 --> 00:54:45,000
Speaker 1: And in the campaign he had over unfavorable at certain

975
00:54:45,000 --> 00:54:48,279
Speaker 1: times in this campaign. Right now his favorble unfavoral rating

976
00:54:48,320 --> 00:54:54,840
Speaker 1: is favorable and only unfareble. So his positives are moving rapidly.

977
00:54:55,239 --> 00:54:58,040
Speaker 1: And if he gets nit positive in January, as he

978
00:54:58,280 --> 00:55:01,279
Speaker 1: becomes president and his sworn and he is going to

979
00:55:01,320 --> 00:55:04,080
Speaker 1: try to try to pass his agenda, which this is

980
00:55:04,080 --> 00:55:06,680
Speaker 1: what they're trying to de legitimize, because in that same

981
00:55:06,760 --> 00:55:10,520
Speaker 1: pole America's right now only thirty want to continue Obama's

982
00:55:10,560 --> 00:55:13,680
Speaker 1: policies fifty two percent the majority. One change they want

983
00:55:13,719 --> 00:55:17,320
Speaker 1: to repeal and replace Obamacas six to thirty three percent.

984
00:55:17,719 --> 00:55:19,600
Speaker 1: They want to tear up the Uran Deal due to

985
00:55:19,640 --> 00:55:24,319
Speaker 1: lack of US inspections fifty one percent. The majority would

986
00:55:24,320 --> 00:55:27,440
Speaker 1: cut off federal funds to the cities that don't you know,

987
00:55:27,760 --> 00:55:33,080
Speaker 1: turning criminal illegal aliens sixty to seven percent. So there's

988
00:55:33,080 --> 00:55:36,440
Speaker 1: a lot that the liberals trying to trying to protect

989
00:55:36,880 --> 00:55:40,239
Speaker 1: by de legitimizing Trump because if he stays positive and

990
00:55:40,320 --> 00:55:42,880
Speaker 1: keeps I mean, he's got a really good job approval

991
00:55:42,960 --> 00:55:46,040
Speaker 1: for president elect right now. He's got his favorables and

992
00:55:46,120 --> 00:55:49,480
Speaker 1: moving up his unfarewells of moving down if he takes

993
00:55:49,520 --> 00:55:52,600
Speaker 1: off his net positive, but his job approval, he was

994
00:55:52,719 --> 00:55:56,440
Speaker 1: never on the upside positive side. Now at forty one,

995
00:55:56,480 --> 00:55:59,160
Speaker 1: I mean that rivals where Obama is right now, it's

996
00:55:59,160 --> 00:56:01,960
Speaker 1: better the isn't. It's at fifty three, but it's closer.

997
00:56:02,000 --> 00:56:04,759
Speaker 1: His negatives are hired forty five and Obama the only

998
00:56:04,760 --> 00:56:07,520
Speaker 1: reason he was upside down until the summer when people

999
00:56:07,560 --> 00:56:10,359
Speaker 1: realized he can't do anything anymore. Then all of a sudden,

1000
00:56:10,400 --> 00:56:12,560
Speaker 1: they're good, he's retiring, so we think we approved the

1001
00:56:12,640 --> 00:56:14,640
Speaker 1: job he's doing. But for the last two years he

1002
00:56:14,760 --> 00:56:17,640
Speaker 1: was upside down, and it's not the Russians that did

1003
00:56:17,719 --> 00:56:20,600
Speaker 1: the job to elect Trump. It's Obama and Hillary. It

1004
00:56:20,680 --> 00:56:24,240
Speaker 1: was Obama said failed policies, and it was Hillary's corruption.

1005
00:56:24,640 --> 00:56:26,600
Speaker 1: That's what we ran against. That's what those of us

1006
00:56:26,640 --> 00:56:29,279
Speaker 1: who were pulling for Trump and helping advise on the strategy,

1007
00:56:29,719 --> 00:56:32,200
Speaker 1: that's what we're running against. That's what helped elective. But

1008
00:56:32,239 --> 00:56:34,000
Speaker 1: when you look at these numbers. I looked at your

1009
00:56:34,040 --> 00:56:36,960
Speaker 1: poll when when only thirty three percent or against the

1010
00:56:37,000 --> 00:56:42,520
Speaker 1: repealing and replacing of Obamacare, when only two don't want

1011
00:56:42,560 --> 00:56:46,120
Speaker 1: Trump to tear up the randial, when you know seven

1012
00:56:46,239 --> 00:56:50,200
Speaker 1: percent would cut all federal funds to cities, not caught

1013
00:56:50,239 --> 00:56:54,080
Speaker 1: off funds to cities. You know these these uh protected criminals,

1014
00:56:54,160 --> 00:56:57,120
Speaker 1: bigal aliens. Right. So, I mean it seems like Trump's

1015
00:56:57,120 --> 00:57:00,120
Speaker 1: won the argument. Yes, and his messages the never have

1016
00:57:00,280 --> 00:57:02,080
Speaker 1: to look in this will and if they don't stop

1017
00:57:02,120 --> 00:57:05,080
Speaker 1: him right now, Trump's gonna go in office in January.

1018
00:57:05,280 --> 00:57:07,800
Speaker 1: He'll pass his tax cut plan, He'll get the economy

1019
00:57:07,800 --> 00:57:10,880
Speaker 1: growing again. He will expand the coalition of people that

1020
00:57:10,960 --> 00:57:14,279
Speaker 1: we that we made where we combine the Rush Belt

1021
00:57:14,320 --> 00:57:17,400
Speaker 1: with the sun Belt and we created this heartland. Uh,

1022
00:57:17,440 --> 00:57:21,160
Speaker 1: this heartland votercoalition which is bordering on a majority, where

1023
00:57:21,160 --> 00:57:23,080
Speaker 1: if all of a sudden the economy grows and he's

1024
00:57:23,160 --> 00:57:26,080
Speaker 1: keeping us stronger and safer, then you're gonna look at

1025
00:57:25,560 --> 00:57:29,720
Speaker 1: a Republican party that will expand into a governing majority

1026
00:57:29,840 --> 00:57:32,520
Speaker 1: that the Democrats could be out of luck for years. Well,

1027
00:57:32,520 --> 00:57:34,960
Speaker 1: I think I think that's inevitable. For example, if he

1028
00:57:35,040 --> 00:57:38,720
Speaker 1: brings in the repatriation multinational corporation money at a low

1029
00:57:38,800 --> 00:57:41,560
Speaker 1: rate of ten percent, that's trillions of dollars that will

1030
00:57:41,560 --> 00:57:44,840
Speaker 1: be spent. If he further incentivizes them and says, all right,

1031
00:57:44,880 --> 00:57:49,160
Speaker 1: if he invested in Cleveland, Detroit, Milwaukee, and Philadelphia, and

1032
00:57:49,200 --> 00:57:51,760
Speaker 1: he has a number of ribbon cutting ceremonies because these

1033
00:57:51,760 --> 00:57:54,440
Speaker 1: companies they do want to build in an environment where

1034
00:57:55,080 --> 00:57:57,800
Speaker 1: where regulation is not going to be so burdensome and

1035
00:57:57,840 --> 00:58:01,200
Speaker 1: corporate taxes will we dropped. And then he follows it

1036
00:58:01,320 --> 00:58:05,960
Speaker 1: up with education choice, charter schools for kids starting in

1037
00:58:05,960 --> 00:58:09,680
Speaker 1: inner cities because they have been disproportionately impacted in a

1038
00:58:09,760 --> 00:58:13,880
Speaker 1: negative way. Then I would argue that that all these people,

1039
00:58:13,920 --> 00:58:17,320
Speaker 1: all these arguments that Republicans are racist, racist, racist, whatever,

1040
00:58:17,560 --> 00:58:20,720
Speaker 1: they all go away, because if people have finally given

1041
00:58:20,800 --> 00:58:24,120
Speaker 1: jobs and opportunity and good schools for their kids. I

1042
00:58:24,160 --> 00:58:26,480
Speaker 1: can't imagine them going back to a party that has

1043
00:58:26,520 --> 00:58:28,920
Speaker 1: done nothing for them. And you've hit the nail on

1044
00:58:28,920 --> 00:58:31,720
Speaker 1: the head of the Democrats. Now approve of the job

1045
00:58:31,840 --> 00:58:35,200
Speaker 1: that Trump is doingent of African American that's triple. What

1046
00:58:35,240 --> 00:58:38,840
Speaker 1: he got is the vote of Hispanics. That's almost double.

1047
00:58:38,880 --> 00:58:40,840
Speaker 1: What he got is the vote they approve of what

1048
00:58:40,880 --> 00:58:43,320
Speaker 1: Trump is doing. Now is president elect? What do you

1049
00:58:43,360 --> 00:58:46,280
Speaker 1: see as any any warning signs for him? If any

1050
00:58:46,280 --> 00:58:49,080
Speaker 1: on this poll, if he doesn't accomplish what he set out,

1051
00:58:49,160 --> 00:58:51,080
Speaker 1: he's got to keep his promises and he's got he's

1052
00:58:51,120 --> 00:58:53,800
Speaker 1: got to make sure his policy succeed. I mean, he's

1053
00:58:53,880 --> 00:58:57,080
Speaker 1: running of these voters still think that the country is

1054
00:58:57,120 --> 00:58:59,120
Speaker 1: on the wrong track. Well, the way he gets off

1055
00:58:59,520 --> 00:59:02,000
Speaker 1: gets on the right track is for him to implement

1056
00:59:02,040 --> 00:59:05,120
Speaker 1: his policies, as you said, you know, growing the economy again. Yeah,

1057
00:59:05,120 --> 00:59:06,840
Speaker 1: but there is a lag time. If you look in

1058
00:59:06,920 --> 00:59:08,960
Speaker 1: the Reagan years, for example, let's talk about two and

1059
00:59:08,960 --> 00:59:12,560
Speaker 1: a half years. You're you're you know, you're younger than

1060
00:59:12,600 --> 00:59:15,240
Speaker 1: I am. So I still have the scars from the

1061
00:59:15,280 --> 00:59:17,520
Speaker 1: eighty two mid terms when we lost twenty six members

1062
00:59:17,560 --> 00:59:20,240
Speaker 1: of the House actually gained a sentence seat for trying

1063
00:59:20,480 --> 00:59:22,760
Speaker 1: and uh, you know, I can see that the mid

1064
00:59:22,880 --> 00:59:25,760
Speaker 1: terms there's gonna be a leg particularly what I think.

1065
00:59:25,800 --> 00:59:29,200
Speaker 1: But then you had incredible growth at what eight nine

1066
00:59:29,960 --> 00:59:33,280
Speaker 1: and you had you know, twenty million jobs created, and

1067
00:59:33,280 --> 00:59:37,120
Speaker 1: then an explosion and economic boom. Revenues to the government

1068
00:59:37,200 --> 00:59:40,360
Speaker 1: ended up doubling. When when Reagan was president and he

1069
00:59:40,400 --> 00:59:44,280
Speaker 1: won re election with he won forty nine states, right,

1070
00:59:44,400 --> 00:59:46,600
Speaker 1: and he put us on a path to uh to

1071
00:59:47,280 --> 00:59:51,080
Speaker 1: what eventually knew green your bringing around as a Republican

1072
00:59:51,160 --> 00:59:54,640
Speaker 1: majority in Congress. So we have these majorities now and

1073
00:59:55,120 --> 00:59:58,160
Speaker 1: and Donald Trump instead of winning by a plurality the

1074
00:59:58,280 --> 01:00:01,080
Speaker 1: next election, he could you know, four years, he could

1075
01:00:01,120 --> 01:00:04,080
Speaker 1: he could win reelection with a clear decisive majority. I

1076
01:00:04,400 --> 01:00:06,720
Speaker 1: think it's pretty amazing. All right, Well, how you think

1077
01:00:06,760 --> 01:00:10,560
Speaker 1: he has like I do what six eight months? Absolutely

1078
01:00:10,720 --> 01:00:12,800
Speaker 1: he has the first year, I mean think the economy

1079
01:00:12,880 --> 01:00:14,920
Speaker 1: is flat. Security the one thing you got to be

1080
01:00:15,000 --> 01:00:17,960
Speaker 1: vigilant on his security because right now Americans are and

1081
01:00:18,280 --> 01:00:21,600
Speaker 1: you know, uneasy about things with the terror attacks, et cetera.

1082
01:00:21,920 --> 01:00:24,360
Speaker 1: In the same pole when we asked them about uh,

1083
01:00:24,800 --> 01:00:27,400
Speaker 1: you know, the top issue is absolutely creating jobs and

1084
01:00:27,800 --> 01:00:31,080
Speaker 1: and also keeping Americas safe from terror attacks. So uh,

1085
01:00:31,720 --> 01:00:35,280
Speaker 1: those those those should be his priorities initially as he

1086
01:00:35,360 --> 01:00:37,120
Speaker 1: gets in. And it's gonna take some time to get

1087
01:00:37,160 --> 01:00:40,000
Speaker 1: the economy grown again. But you look at the perception,

1088
01:00:40,080 --> 01:00:42,720
Speaker 1: the good feelings. I mean, there's a poll amongst small

1089
01:00:42,760 --> 01:00:45,560
Speaker 1: business owners. They're very optimistic right now and the other

1090
01:00:45,640 --> 01:00:47,560
Speaker 1: ones who have been beat down by the regulations in

1091
01:00:47,600 --> 01:00:50,439
Speaker 1: the government, so that optimism. People will give it time.

1092
01:00:50,880 --> 01:00:52,360
Speaker 1: And at the same time, you can look at the

1093
01:00:52,720 --> 01:00:56,320
Speaker 1: market again, it's going up and uh it's it's been

1094
01:00:56,720 --> 01:00:58,040
Speaker 1: you know, they were saying there was going to be

1095
01:00:58,080 --> 01:01:01,120
Speaker 1: an economic collapse when he got elected. The opposite, it's

1096
01:01:01,160 --> 01:01:04,600
Speaker 1: the opposite where you know, at the twenty thousand mark

1097
01:01:04,680 --> 01:01:07,040
Speaker 1: on the doubts insane by the way, and I don't

1098
01:01:07,080 --> 01:01:08,920
Speaker 1: trust the stock market, nor do I think the stock

1099
01:01:08,960 --> 01:01:11,680
Speaker 1: market matters to the people that went out and voted

1100
01:01:11,720 --> 01:01:14,320
Speaker 1: for Donald Trump, because if you're in poverty, if you're

1101
01:01:14,360 --> 01:01:16,200
Speaker 1: on food stamps, if you're out of work, you know,

1102
01:01:16,360 --> 01:01:18,240
Speaker 1: the stock market doesn't mean a thing to you. So

1103
01:01:18,520 --> 01:01:21,520
Speaker 1: you're absolutely right about that. Working class people they want

1104
01:01:21,520 --> 01:01:23,920
Speaker 1: to know that they're securing their jobs that they have

1105
01:01:24,040 --> 01:01:26,120
Speaker 1: security with their healthcare. They want to they want to

1106
01:01:26,120 --> 01:01:28,680
Speaker 1: see some pay raises for a change. Yeah, I totally agree.

1107
01:01:28,680 --> 01:01:32,440
Speaker 1: All right, John, good work. We appreciate it. Eight nine

1108
01:01:32,520 --> 01:01:33,880
Speaker 1: for one Seawn if you want to be a part

1109
01:01:33,920 --> 01:01:36,040
Speaker 1: of the program, and Coulter joins us at the top

1110
01:01:36,080 --> 01:01:38,560
Speaker 1: of the hour. We got an awesome Hannity too. Tonight

1111
01:01:38,640 --> 01:01:41,560
Speaker 1: ten eastern on the Fox News Channel, Donald Trump mentioned

1112
01:01:41,720 --> 01:01:43,320
Speaker 1: that he had a phone call with you. How how

1113
01:01:43,360 --> 01:01:47,240
Speaker 1: did that conversation go. I had an opportunity to talk

1114
01:01:47,280 --> 01:01:49,320
Speaker 1: to him about innovation. You know, a lot of his

1115
01:01:49,440 --> 01:01:53,840
Speaker 1: messages has been about things where uh he sees things

1116
01:01:53,920 --> 01:01:57,000
Speaker 1: not as as good as he liked, but uh, in

1117
01:01:57,120 --> 01:02:00,360
Speaker 1: the same way that President Kenny Kennedy talked about space

1118
01:02:00,440 --> 01:02:03,080
Speaker 1: mission and got the country behind that. I think that

1119
01:02:03,240 --> 01:02:09,640
Speaker 1: whether it's education or stopping epidemics, other health breakthroughs, finishing polio,

1120
01:02:10,200 --> 01:02:12,800
Speaker 1: and in this energy space, there can be a very

1121
01:02:12,960 --> 01:02:16,560
Speaker 1: upbeat message that his administration is going to organize things,

1122
01:02:16,960 --> 01:02:20,920
Speaker 1: get rid of regulatory barriers, and have American leadership through

1123
01:02:20,920 --> 01:02:25,560
Speaker 1: innovation be one of the things that he gets behind.

1124
01:02:26,040 --> 01:02:30,600
Speaker 1: America has lost one third of our manufacturing job since NAFTA.

1125
01:02:31,320 --> 01:02:37,360
Speaker 1: We've lost seventy thousand factories. I think of its seventy thousand.

1126
01:02:37,480 --> 01:02:40,880
Speaker 1: It's like, doesn't even sound like it's possible. And I

1127
01:02:41,000 --> 01:02:42,959
Speaker 1: know it's right because I've said it for the last

1128
01:02:43,040 --> 01:02:45,160
Speaker 1: month and a half and they never corrected me. So

1129
01:02:45,400 --> 01:03:14,120
Speaker 1: hastigating because you gotta love when they go CNN sucks

1130
01:03:14,480 --> 01:03:17,920
Speaker 1: on their own. It's not like Trump lad the charge anyway,

1131
01:03:17,960 --> 01:03:21,200
Speaker 1: News round up in information overload our always a privilege

1132
01:03:21,200 --> 01:03:23,320
Speaker 1: and a pleasure to have. Back In Culter, author of

1133
01:03:23,360 --> 01:03:25,960
Speaker 1: the best selling book in Trump We Trust, How are

1134
01:03:26,000 --> 01:03:29,440
Speaker 1: you miss cult fantastic? How are you You know you

1135
01:03:29,600 --> 01:03:31,440
Speaker 1: hate doing phone interviews? You tell me why do you

1136
01:03:31,480 --> 01:03:34,440
Speaker 1: hate doing phone interviews? No? I like doing phone interviews.

1137
01:03:34,600 --> 01:03:36,080
Speaker 1: I thought you. You always tell me you like to

1138
01:03:36,120 --> 01:03:39,880
Speaker 1: be in studio with someone else. Once again, Well, no, no,

1139
01:03:40,160 --> 01:03:41,800
Speaker 1: because you always say when I'm in her, I'd like

1140
01:03:41,880 --> 01:03:43,320
Speaker 1: to come in studio. You like to come in the

1141
01:03:43,360 --> 01:03:46,240
Speaker 1: studio and do live Oh well, if it's convenient, Yeah,

1142
01:03:46,280 --> 01:03:49,160
Speaker 1: I think the sound qualities better. And of course I

1143
01:03:49,360 --> 01:03:54,080
Speaker 1: like chatting with you and having candy and talking. There's

1144
01:03:54,080 --> 01:03:56,400
Speaker 1: all sorts of fun little experiences that you have that

1145
01:03:56,560 --> 01:03:59,600
Speaker 1: behind the scenes. Um, I know you have held bent

1146
01:03:59,680 --> 01:04:03,000
Speaker 1: to actually on the issue of Department of Homeland Security.

1147
01:04:04,160 --> 01:04:10,320
Speaker 1: Are you happy with the choice? Um? Well, Uh, the

1148
01:04:10,440 --> 01:04:15,080
Speaker 1: good news today is the great Stephen Miller, who recently

1149
01:04:15,200 --> 01:04:19,160
Speaker 1: turned thirty. UM, came from Senator Sessions office. He was

1150
01:04:19,920 --> 01:04:24,440
Speaker 1: UM very involved in Trump's uh writing Trump's or helping

1151
01:04:24,520 --> 01:04:27,680
Speaker 1: with Trump's immigration policy paper. And he's been writing all

1152
01:04:27,720 --> 01:04:31,400
Speaker 1: those magnificent speeches of Trump's. Um. He's going to be

1153
01:04:31,440 --> 01:04:34,560
Speaker 1: the White House policy director. So I'm already sleeping a

1154
01:04:34,680 --> 01:04:37,800
Speaker 1: lot better at night. UM. I really like this guy,

1155
01:04:38,080 --> 01:04:42,760
Speaker 1: Rex Tillerson. And uh, you know the strange thing is,

1156
01:04:42,800 --> 01:04:44,640
Speaker 1: I mean you and I were on the same side,

1157
01:04:44,880 --> 01:04:48,400
Speaker 1: as were most of my friends on the Iraq War. UM,

1158
01:04:48,560 --> 01:04:51,840
Speaker 1: and I'd still defend it, except for the fact I

1159
01:04:51,920 --> 01:04:53,920
Speaker 1: did not know that I lived in a country that

1160
01:04:53,960 --> 01:04:57,920
Speaker 1: would elect UM Barack Obama, who would then turn our

1161
01:04:58,120 --> 01:05:02,960
Speaker 1: victory into a defeat. Um. But whether whether the anti

1162
01:05:03,040 --> 01:05:05,800
Speaker 1: Iraq war people were right in saying this was doomed

1163
01:05:05,840 --> 01:05:07,920
Speaker 1: to failure from the beginning, or I'm right that that

1164
01:05:08,080 --> 01:05:10,160
Speaker 1: we won. They were waving their purple fingers. It was

1165
01:05:10,200 --> 01:05:13,040
Speaker 1: a crucial worse wage, and then Obama came in and

1166
01:05:13,080 --> 01:05:15,040
Speaker 1: gave it away. I certainly wouldn't want to go and

1167
01:05:15,120 --> 01:05:18,600
Speaker 1: do it again. But during that whole I really think

1168
01:05:18,640 --> 01:05:21,600
Speaker 1: Americans are tired of war. I think Trump really hit

1169
01:05:21,680 --> 01:05:26,040
Speaker 1: on something with that. And our thought is we've been suffering, Um,

1170
01:05:26,480 --> 01:05:29,439
Speaker 1: middle class I'm working class wages have not only knocked

1171
01:05:29,440 --> 01:05:32,960
Speaker 1: gone up, but but gone down in the past thirty years,

1172
01:05:33,160 --> 01:05:36,000
Speaker 1: and an America needs a little me time. That was

1173
01:05:36,080 --> 01:05:39,920
Speaker 1: a big part, a big theme of of Trump's campaign

1174
01:05:40,000 --> 01:05:43,840
Speaker 1: and a winning theme that I completely agree with. Um.

1175
01:05:44,200 --> 01:05:46,240
Speaker 1: At the time, when we were supporting the Iraq war,

1176
01:05:46,320 --> 01:05:49,160
Speaker 1: we were used by some of being um, these war

1177
01:05:49,360 --> 01:05:53,600
Speaker 1: mongering hawks, neo conservatives, and I was always baffled by

1178
01:05:53,640 --> 01:05:56,120
Speaker 1: this land or well, now I see that half of

1179
01:05:56,240 --> 01:06:00,560
Speaker 1: my party actually are uh the we was losing and

1180
01:06:00,720 --> 01:06:04,479
Speaker 1: culter Wow, now losing cultures like a big deal, because

1181
01:06:04,560 --> 01:06:06,280
Speaker 1: that's the problem of your in studio. You don't have

1182
01:06:06,600 --> 01:06:09,120
Speaker 1: a problem at all with your telephones. Anyone. We'll get

1183
01:06:09,120 --> 01:06:11,520
Speaker 1: her back here in just a second. But uh An,

1184
01:06:11,720 --> 01:06:13,920
Speaker 1: of course was on the front lines. One of my

1185
01:06:14,000 --> 01:06:17,320
Speaker 1: favorite cuts when we run that montage of people and

1186
01:06:17,960 --> 01:06:21,520
Speaker 1: you know, all saying Donald Donald Trump can't be president

1187
01:06:21,600 --> 01:06:25,280
Speaker 1: and culter in and I guess Jun said it on

1188
01:06:25,360 --> 01:06:28,440
Speaker 1: Bill Marshaw. She got laughed at, and guess what she

1189
01:06:28,520 --> 01:06:30,080
Speaker 1: turned out to be right? All right, we lost you.

1190
01:06:30,160 --> 01:06:33,440
Speaker 1: What happened? I think it was your end. Um. But

1191
01:06:33,600 --> 01:06:35,880
Speaker 1: in any event, I now see and I described this

1192
01:06:36,040 --> 01:06:39,480
Speaker 1: in in my latest New York Times bestseller, Uh, in

1193
01:06:39,560 --> 01:06:41,560
Speaker 1: Trump We Trust, I have a little chapter on all

1194
01:06:41,640 --> 01:06:46,080
Speaker 1: of these Republicans, non Trump Republicans UM trying to be

1195
01:06:46,320 --> 01:06:49,520
Speaker 1: like Reagan. But it's a different world from when Reagan

1196
01:06:49,600 --> 01:06:52,800
Speaker 1: was president. Primarily Reagan won the Cold War. They seem

1197
01:06:52,880 --> 01:06:57,520
Speaker 1: to have forgotten that, um, and half of in facts.

1198
01:06:57,560 --> 01:06:59,680
Speaker 1: More than that, pretty much all of the Republicans on

1199
01:06:59,760 --> 01:07:02,600
Speaker 1: those primary stage we're champing at the bit to go

1200
01:07:02,760 --> 01:07:05,200
Speaker 1: to war with Russia. Um. You know, I don't want

1201
01:07:05,200 --> 01:07:06,560
Speaker 1: to live in Russia. I don't want to live in

1202
01:07:06,640 --> 01:07:12,280
Speaker 1: Sweden or Japan, but they aren't the Soviet Union anymore. Um.

1203
01:07:12,440 --> 01:07:14,840
Speaker 1: And I've just been baffled at this idea that we

1204
01:07:15,200 --> 01:07:17,280
Speaker 1: must have a secretary of State who wants to start

1205
01:07:17,320 --> 01:07:20,920
Speaker 1: wars all over the Middle East and with with Russia.

1206
01:07:20,920 --> 01:07:23,360
Speaker 1: I mean that was that was a division between Hillary

1207
01:07:23,480 --> 01:07:27,360
Speaker 1: and and Donald's Trump and and Trump lawn. Um, we

1208
01:07:27,480 --> 01:07:29,040
Speaker 1: don't need to go to war. We could use a

1209
01:07:29,080 --> 01:07:31,680
Speaker 1: secretary of State who, again, as I was saying at

1210
01:07:31,680 --> 01:07:35,880
Speaker 1: the beginning, cares about America and doing things for America,

1211
01:07:36,000 --> 01:07:38,840
Speaker 1: and America needs energy. So I think it's great we have,

1212
01:07:39,320 --> 01:07:43,280
Speaker 1: um this exon guy a secretary of state. I agree

1213
01:07:43,320 --> 01:07:45,120
Speaker 1: with you. I don't have a problem with it. I

1214
01:07:45,200 --> 01:07:47,640
Speaker 1: know my good friend Tony Perkins's of SEP because of

1215
01:07:47,960 --> 01:07:50,920
Speaker 1: his position with the Boy Scouts and and Gay Scout

1216
01:07:51,000 --> 01:07:54,120
Speaker 1: Masters of some whatever thing. And I just said, well,

1217
01:07:54,240 --> 01:07:56,320
Speaker 1: what secretary state is not gonna have any impact on

1218
01:07:56,400 --> 01:07:58,560
Speaker 1: that at all. Ever, that's not what the role of

1219
01:07:58,560 --> 01:08:01,000
Speaker 1: a secretary of State is. Yeah. I think that's right,

1220
01:08:01,080 --> 01:08:05,200
Speaker 1: though it's always worth pointing out, Um what what PC

1221
01:08:05,560 --> 01:08:09,600
Speaker 1: lickspittles most of corporate America is. Um. Yeah, they just

1222
01:08:09,680 --> 01:08:13,160
Speaker 1: don't want to be harassed by social justice warriors, so

1223
01:08:13,440 --> 01:08:16,519
Speaker 1: they go along with all of this nonsense. Um. I

1224
01:08:16,840 --> 01:08:20,400
Speaker 1: I will really sleep well at night if Chris Koback

1225
01:08:20,600 --> 01:08:24,120
Speaker 1: ends up at Homeland Security. Um. And I'm not at

1226
01:08:24,200 --> 01:08:30,439
Speaker 1: all happy about this. Andrew puzztr Um as Secretary of Labor,

1227
01:08:30,560 --> 01:08:33,800
Speaker 1: he's Mr Amnesty, he wants to replace American workers with

1228
01:08:34,360 --> 01:08:37,800
Speaker 1: with cheap foreign labor. He's totally on record with a

1229
01:08:37,920 --> 01:08:41,439
Speaker 1: huge supporter of Marco Rubio's amnesty. And that's the guy

1230
01:08:41,479 --> 01:08:44,240
Speaker 1: who's going to be in charge of labor. I don't know.

1231
01:08:44,320 --> 01:08:47,040
Speaker 1: Put him at E P A or something, um but

1232
01:08:47,320 --> 01:08:51,320
Speaker 1: but Democrats have their own reason for opposing him. UM So,

1233
01:08:51,560 --> 01:08:53,800
Speaker 1: with any luck, he won't get through. I just don't

1234
01:08:53,880 --> 01:08:57,760
Speaker 1: understand why labor wouldn't be the great Peter Curson now, um,

1235
01:08:58,280 --> 01:09:00,960
Speaker 1: a who would actually like to be a labor he's

1236
01:09:01,000 --> 01:09:04,240
Speaker 1: a civil rights commissioner right now, and they proud graduates

1237
01:09:04,320 --> 01:09:08,599
Speaker 1: of Cornell University. UM, surprisingly with a name like Peter person.

1238
01:09:08,640 --> 01:09:12,200
Speaker 1: Now he's also black. UM so you get you get

1239
01:09:12,240 --> 01:09:16,400
Speaker 1: your diversity points with no compromise on on anything. I

1240
01:09:16,720 --> 01:09:19,360
Speaker 1: I I was reading him for years without even realizing

1241
01:09:19,439 --> 01:09:21,880
Speaker 1: that or realizing that he was an illustrious graduate of

1242
01:09:21,960 --> 01:09:25,320
Speaker 1: my alma mater. Do you talk to Donald Trump much? Um?

1243
01:09:25,400 --> 01:09:27,320
Speaker 1: None of your bees wax? Mean? What do you mean?

1244
01:09:27,400 --> 01:09:29,639
Speaker 1: None of my bees wax? Why don't we in third grade?

1245
01:09:30,439 --> 01:09:33,040
Speaker 1: Good grief? Why do you act? Have you talked to

1246
01:09:33,160 --> 01:09:35,439
Speaker 1: him since the election? How about that? Why do you ask?

1247
01:09:36,080 --> 01:09:39,160
Speaker 1: Because I I I'm I know how you are. I mean,

1248
01:09:39,280 --> 01:09:42,200
Speaker 1: you're and bton, you don't need to ask Okay, No,

1249
01:09:42,360 --> 01:09:44,040
Speaker 1: I know how you are in terms of when you

1250
01:09:44,320 --> 01:09:47,760
Speaker 1: want something done and you believe strongly in something. Uh,

1251
01:09:48,040 --> 01:09:51,479
Speaker 1: there's no mistaking at the end of the conversation how

1252
01:09:51,640 --> 01:09:54,160
Speaker 1: you feel and how strongly you feel about it. And

1253
01:09:55,080 --> 01:09:57,640
Speaker 1: I agree with you on immigration, and I agree with

1254
01:09:57,760 --> 01:10:00,679
Speaker 1: your passion, and I agree with with all the things. Look,

1255
01:10:01,000 --> 01:10:03,760
Speaker 1: the Trump the point about immigration that I think is

1256
01:10:04,040 --> 01:10:06,680
Speaker 1: is important and something that that I mean, for all

1257
01:10:06,760 --> 01:10:10,000
Speaker 1: of his virtues that Trump at least has absolutely no

1258
01:10:10,160 --> 01:10:13,519
Speaker 1: experience with. And that's in the political world. Um. On

1259
01:10:13,800 --> 01:10:17,000
Speaker 1: his other issues which are very popular um or or

1260
01:10:17,040 --> 01:10:19,439
Speaker 1: wouldn't nobody else would bring them up, but they're popular

1261
01:10:19,520 --> 01:10:22,439
Speaker 1: when he does them, saving American jobs, um, you know,

1262
01:10:22,600 --> 01:10:26,880
Speaker 1: reducing the price of energy, reducing regulations, um, repealing Obamacare.

1263
01:10:26,960 --> 01:10:29,320
Speaker 1: He's not gonna get any push back from Republicans on

1264
01:10:30,439 --> 01:10:32,479
Speaker 1: of what he wants to do and things that will

1265
01:10:32,479 --> 01:10:35,320
Speaker 1: make America great again. When it comes to immigration, that

1266
01:10:35,479 --> 01:10:38,320
Speaker 1: is the one issue he will get not only pushed back,

1267
01:10:38,439 --> 01:10:42,440
Speaker 1: but World War three from his own party, from the Democrats,

1268
01:10:42,520 --> 01:10:45,719
Speaker 1: from the Wall Street Journal, from George Soros. So that's

1269
01:10:45,880 --> 01:10:48,120
Speaker 1: that's why, I mean, besides the fact that it determines

1270
01:10:48,200 --> 01:10:50,080
Speaker 1: what kind of country we're living in, and whether we

1271
01:10:50,160 --> 01:10:52,200
Speaker 1: are living in a country that would elect someone like

1272
01:10:52,280 --> 01:10:55,160
Speaker 1: Barack Obama who would give away our victory in in

1273
01:10:55,640 --> 01:10:58,679
Speaker 1: in I rock um. Beside this being the most important issue,

1274
01:10:58,680 --> 01:11:00,360
Speaker 1: it's also the one he's going to face the most

1275
01:11:00,400 --> 01:11:03,479
Speaker 1: resistance on. And we'll need the best people for And

1276
01:11:03,520 --> 01:11:07,479
Speaker 1: when you look at back at um, I mean start

1277
01:11:07,560 --> 01:11:09,559
Speaker 1: with the first. George Bush, this is what I wrote

1278
01:11:09,560 --> 01:11:12,960
Speaker 1: about last week. He even knew how the Democrats were

1279
01:11:13,040 --> 01:11:16,120
Speaker 1: going to to to undermine him. He said it in

1280
01:11:16,280 --> 01:11:19,799
Speaker 1: his iconic convention speech. He described how the Democrats Congress

1281
01:11:19,920 --> 01:11:22,679
Speaker 1: would come to him and say, um, because he promised

1282
01:11:22,720 --> 01:11:25,160
Speaker 1: no new taxes, and they'll come to me and say

1283
01:11:25,240 --> 01:11:27,639
Speaker 1: we've got to raise taxes, raised taxes, and I'll say

1284
01:11:27,680 --> 01:11:30,120
Speaker 1: no new taxes, and they'll come at me again, and

1285
01:11:30,200 --> 01:11:33,040
Speaker 1: I'll say no new taxes, and they'll come at me again,

1286
01:11:33,200 --> 01:11:35,600
Speaker 1: and I'll say, read my lips, no new taxes. So

1287
01:11:35,760 --> 01:11:38,160
Speaker 1: he knew he was what was going to happen. He

1288
01:11:38,240 --> 01:11:41,080
Speaker 1: was a great predictor, a great prognosticator. Everything he said

1289
01:11:41,160 --> 01:11:43,960
Speaker 1: came true. But instead of him saying no new taxes,

1290
01:11:44,040 --> 01:11:47,880
Speaker 1: he caved. And that was not only be hinder his presidency. Um,

1291
01:11:48,080 --> 01:11:51,800
Speaker 1: but it was incredibly damaging to the Republican Party because

1292
01:11:51,840 --> 01:11:56,559
Speaker 1: the Democrats had tricked UM, a naive Republican into giving

1293
01:11:56,600 --> 01:11:59,720
Speaker 1: away the signature issue. And so it would be very

1294
01:11:59,800 --> 01:12:03,640
Speaker 1: day dangerous, more dangerous than than any anything facing the

1295
01:12:03,680 --> 01:12:08,320
Speaker 1: Trump administration. UM, if he were manipulated or as what

1296
01:12:08,439 --> 01:12:13,320
Speaker 1: do you manipsnated into giving up the issue of immigration?

1297
01:12:13,640 --> 01:12:15,960
Speaker 1: What do you think of this effort to undermine first

1298
01:12:16,000 --> 01:12:18,439
Speaker 1: it was the recount that it was the Russians act,

1299
01:12:18,560 --> 01:12:21,320
Speaker 1: even though there's no new evidence at all, and the

1300
01:12:21,479 --> 01:12:25,080
Speaker 1: FBI and Director of National Intelligence disagree. And I know

1301
01:12:25,240 --> 01:12:28,760
Speaker 1: because I've interviewed a number of these people electors being

1302
01:12:28,880 --> 01:12:31,320
Speaker 1: harassed to change their votes away from Trump. What do

1303
01:12:31,400 --> 01:12:36,479
Speaker 1: you make of the effort to delegitimize him? It's hilarious, UM,

1304
01:12:36,880 --> 01:12:40,599
Speaker 1: and the fake news claims then you know, I opened

1305
01:12:41,120 --> 01:12:43,160
Speaker 1: the New York Times in the Washington Post and they're

1306
01:12:43,200 --> 01:12:46,840
Speaker 1: pushing the fake news about how Russia wanted to elect Trump.

1307
01:12:46,880 --> 01:12:49,519
Speaker 1: I I love that idea. Think of all of the

1308
01:12:49,640 --> 01:12:53,439
Speaker 1: games Russia made with Um Hilary as Secretary of State.

1309
01:12:53,479 --> 01:12:58,160
Speaker 1: They go of our uranium, um he Um, they took

1310
01:12:58,560 --> 01:13:03,240
Speaker 1: invaded crimea Um, Russia has replaced the United States as

1311
01:13:03,240 --> 01:13:06,000
Speaker 1: a leader in the Middle East. UM. And I'm not

1312
01:13:06,120 --> 01:13:09,840
Speaker 1: really against that since they're fighting Isis. UM. But nonetheless,

1313
01:13:10,680 --> 01:13:16,160
Speaker 1: uh well, and but he'd prefer Trump that someone who's

1314
01:13:16,280 --> 01:13:19,960
Speaker 1: who's described as as a lunatic who can be bated

1315
01:13:20,040 --> 01:13:23,920
Speaker 1: into dropping nukes with a tweet. Um, it doesn't make

1316
01:13:23,960 --> 01:13:27,040
Speaker 1: any sense. The FBI disputes it. One of the main

1317
01:13:27,160 --> 01:13:29,880
Speaker 1: proponents of this, of this Russia. I mean the articles

1318
01:13:29,920 --> 01:13:31,280
Speaker 1: in the New York Times and when IU post they

1319
01:13:31,280 --> 01:13:34,479
Speaker 1: are all anonymous sources from the CIA and agency. We

1320
01:13:34,640 --> 01:13:37,320
Speaker 1: really need to get rid of UM because it is

1321
01:13:37,520 --> 01:13:40,000
Speaker 1: utterly useless and eats up a lot of tax money.

1322
01:13:40,040 --> 01:13:41,760
Speaker 1: We have the worst, as I've and this isn't This

1323
01:13:41,880 --> 01:13:43,800
Speaker 1: isn't something I'm bringing up for the first time. Now,

1324
01:13:44,000 --> 01:13:46,479
Speaker 1: my loyal readers know, I have been making fun of

1325
01:13:46,600 --> 01:13:49,800
Speaker 1: US intelligence for um a good decade now. We have

1326
01:13:49,920 --> 01:13:54,200
Speaker 1: the worst intelligence collecting in the world and been Burkina Fasoh,

1327
01:13:54,640 --> 01:13:59,040
Speaker 1: it's worst the Walmart's intelligence. Because the Democrats decided to

1328
01:13:59,160 --> 01:14:02,240
Speaker 1: destroy the c i A after Watergate. They said it

1329
01:14:02,360 --> 01:14:04,800
Speaker 1: there on the record, they held the hearings and they

1330
01:14:04,840 --> 01:14:06,880
Speaker 1: did it. So we have no Intelligence is the I

1331
01:14:07,080 --> 01:14:10,200
Speaker 1: agent sit around reading the Islamabod post. Yeah, well we

1332
01:14:10,280 --> 01:14:12,280
Speaker 1: also know look at these are the same people that

1333
01:14:12,400 --> 01:14:14,880
Speaker 1: advanced the narrative without talking to the people that were

1334
01:14:14,920 --> 01:14:17,640
Speaker 1: on the ground named Benghazi that oh, it was a

1335
01:14:17,680 --> 01:14:21,960
Speaker 1: spontaneous demonstration and they just happened to have RPGs and

1336
01:14:22,200 --> 01:14:26,080
Speaker 1: mortars in their back pocket and spontaneously decided to attack.

1337
01:14:26,400 --> 01:14:28,400
Speaker 1: That's right, that's right. The one guy who's on the

1338
01:14:28,479 --> 01:14:31,120
Speaker 1: record who is not in the government right now, um

1339
01:14:31,360 --> 01:14:35,000
Speaker 1: is Mike Morrell, who is working for a Hillary affiliated

1340
01:14:35,200 --> 01:14:40,160
Speaker 1: organization and was involved in in the vast um and

1341
01:14:40,360 --> 01:14:44,960
Speaker 1: serious Benghazi fake news um coming straight out of the administration.

1342
01:14:45,560 --> 01:14:48,240
Speaker 1: You know, I find this whole thing pretty amazing because

1343
01:14:48,720 --> 01:14:51,720
Speaker 1: it's so obvious to me why this election turned out

1344
01:14:51,760 --> 01:14:54,639
Speaker 1: the way it did. It's so obvious that they're so bitter.

1345
01:14:54,960 --> 01:14:58,280
Speaker 1: The media has now doubled down on stupid. I mean,

1346
01:14:58,439 --> 01:15:01,240
Speaker 1: if your CNN and U S night you're watching the rally,

1347
01:15:01,680 --> 01:15:03,759
Speaker 1: and in the middle of the rally that you're covering

1348
01:15:03,840 --> 01:15:08,080
Speaker 1: your network, this crowd is massive crowd of screaming CNN sucks.

1349
01:15:09,840 --> 01:15:11,760
Speaker 1: I mean, if you're a Jeff Sucker, what are you

1350
01:15:11,920 --> 01:15:18,000
Speaker 1: thinking to quote Michelle Obama, I've never been so proud

1351
01:15:18,080 --> 01:15:22,600
Speaker 1: if the first time in your adult life. Yes, exactly know.

1352
01:15:22,760 --> 01:15:27,840
Speaker 1: They are fantastic, these Trump supporters. UM, I'm I'm I'm

1353
01:15:28,160 --> 01:15:30,320
Speaker 1: not shocked at how the election turned out, but I

1354
01:15:30,400 --> 01:15:33,439
Speaker 1: do think it's I mean, the pendulum swings. Um. We

1355
01:15:33,520 --> 01:15:36,960
Speaker 1: do have to be careful, um, to protect the victory

1356
01:15:37,479 --> 01:15:41,160
Speaker 1: that Trump has won. And I think Republicans should always remember,

1357
01:15:41,880 --> 01:15:46,240
Speaker 1: um that if immigration merely continues, uh, if we don't

1358
01:15:46,320 --> 01:15:49,120
Speaker 1: let in one new immigrant over the next four years

1359
01:15:49,360 --> 01:15:52,519
Speaker 1: and run this exact same election, Trump loses. Most of

1360
01:15:52,600 --> 01:15:56,599
Speaker 1: those battleground states were forty nine post nineteen seventy, immigrants

1361
01:15:56,640 --> 01:16:00,400
Speaker 1: are voting for the Democrats. Immigration isn't just one little

1362
01:16:00,479 --> 01:16:05,360
Speaker 1: issue like pro life or transgender bathrooms. It is every issue.

1363
01:16:05,680 --> 01:16:07,840
Speaker 1: This is our final chance. So I gotta let you

1364
01:16:07,880 --> 01:16:09,639
Speaker 1: go and Culter, thank you so much for being able

1365
01:16:09,680 --> 01:16:11,400
Speaker 1: us appreciate it. Thank you. Good to talk to you.

1366
01:16:11,520 --> 01:16:14,479
Speaker 1: Se Alright, So all these years, I'm now in my

1367
01:16:14,760 --> 01:16:18,800
Speaker 1: thirtieth year since I started radio in my life thirty years,

1368
01:16:19,400 --> 01:16:22,080
Speaker 1: I'm in my twenty feet year at the Fox News Channel,

1369
01:16:23,000 --> 01:16:27,320
Speaker 1: and I really love the warmth of radio. Radio is

1370
01:16:27,320 --> 01:16:30,160
Speaker 1: a warm medium. I mean, you could tell by somebody's voice.

1371
01:16:30,600 --> 01:16:32,840
Speaker 1: I get a mental image every time I talk to

1372
01:16:32,960 --> 01:16:35,560
Speaker 1: somebody that calls under this radio program. All right, I

1373
01:16:35,640 --> 01:16:37,080
Speaker 1: know what that person looks like. At least I have

1374
01:16:37,160 --> 01:16:39,720
Speaker 1: a mental image of them. Some people meet me and

1375
01:16:39,760 --> 01:16:44,040
Speaker 1: they said, geez, you're younger and skinnier in in in

1376
01:16:44,240 --> 01:16:46,800
Speaker 1: person and I'm like, what am my fat old guy

1377
01:16:46,880 --> 01:16:50,640
Speaker 1: on TV? It's ridiculous. What does that mean? And then

1378
01:16:50,760 --> 01:16:53,920
Speaker 1: you're taller in person? So I'm fat, old and short

1379
01:16:54,040 --> 01:16:55,960
Speaker 1: on TV. I don't know why people say that, but

1380
01:16:56,040 --> 01:16:58,040
Speaker 1: it's funny. Everyone has an image. And I'm sitting mind

1381
01:16:58,040 --> 01:16:59,960
Speaker 1: to desk, so what do I know? And I've done

1382
01:17:00,040 --> 01:17:01,760
Speaker 1: the TV show, as I said, for twenty one years

1383
01:17:01,760 --> 01:17:03,760
Speaker 1: on the Fox News Channel and did a little TV

1384
01:17:03,920 --> 01:17:06,880
Speaker 1: before that. But one of the things over the years

1385
01:17:07,000 --> 01:17:12,120
Speaker 1: that I know that really touches me deeply is either

1386
01:17:12,400 --> 01:17:16,240
Speaker 1: movies or music. Those are the two things that touch

1387
01:17:16,640 --> 01:17:19,519
Speaker 1: people deeply. For example, you know, you go to a

1388
01:17:19,680 --> 01:17:21,760
Speaker 1: Garth Brooks concert. I was talking to a guy today

1389
01:17:21,760 --> 01:17:25,439
Speaker 1: at the Hollywood Reporter and it's like an emotional roller coaster.

1390
01:17:25,520 --> 01:17:27,960
Speaker 1: You know, friends and low places, you know, you're you're

1391
01:17:28,000 --> 01:17:30,479
Speaker 1: rowdy and fun and rip roaring and having a beer

1392
01:17:30,560 --> 01:17:32,760
Speaker 1: and hanging with your friends. And then you know, then

1393
01:17:32,840 --> 01:17:35,519
Speaker 1: he comes up with a song like the Dance, or

1394
01:17:35,680 --> 01:17:38,439
Speaker 1: a song like if Tomorrow Never Comes, or Kenny Chesney

1395
01:17:38,479 --> 01:17:40,160
Speaker 1: does the same thing in his concerts, or Brooks and

1396
01:17:40,200 --> 01:17:42,360
Speaker 1: Donne or any of my friends and country music, you

1397
01:17:42,439 --> 01:17:44,920
Speaker 1: go kind of go through in the emotional roller coaster,

1398
01:17:45,720 --> 01:17:48,720
Speaker 1: and you know, you'll see Kenny Chesney and and he's

1399
01:17:48,760 --> 01:17:52,400
Speaker 1: there talking about um, this guy that thinks his life

1400
01:17:52,479 --> 01:17:54,120
Speaker 1: is over. What's the name of that song? I forget?

1401
01:17:54,160 --> 01:17:57,200
Speaker 1: You know that song? Abou Kenny Chesney? I don't know anyway, Kenny,

1402
01:17:57,439 --> 01:18:03,000
Speaker 1: do you know the song there Goes my Life? Thank you, Linda,

1403
01:18:03,560 --> 01:18:06,759
Speaker 1: There Goes my Life. I watched Kenny Chesney do the concert.

1404
01:18:06,800 --> 01:18:09,040
Speaker 1: I look out in the crowd and there's people crying.

1405
01:18:09,920 --> 01:18:13,760
Speaker 1: You go to movies, people cry. Nobody cry. The only

1406
01:18:13,840 --> 01:18:16,960
Speaker 1: people that cry listening or watching me or liberals. And

1407
01:18:17,040 --> 01:18:20,120
Speaker 1: I like them crying, but it's not like I've I've

1408
01:18:20,200 --> 01:18:23,680
Speaker 1: touched them deeply anyway. So over the years I have

1409
01:18:23,880 --> 01:18:27,640
Speaker 1: become friends with Kevin Sorbo, known for Hercules fame and

1410
01:18:27,920 --> 01:18:30,720
Speaker 1: God's Not Dead fame, and and I wrote him a

1411
01:18:30,800 --> 01:18:33,160
Speaker 1: note after I saw one of his movies, I said,

1412
01:18:33,800 --> 01:18:36,800
Speaker 1: if there's ever a really good project, I want to

1413
01:18:36,840 --> 01:18:40,320
Speaker 1: be involved. That's how it happened. So he his wife Sam,

1414
01:18:40,360 --> 01:18:43,879
Speaker 1: and another guy named Dan Gordon. They had a project

1415
01:18:43,960 --> 01:18:46,519
Speaker 1: that they put together, and they flew from l A

1416
01:18:46,640 --> 01:18:48,600
Speaker 1: to New York and we sat in my office. They

1417
01:18:48,680 --> 01:18:51,120
Speaker 1: explained the movie. In about thirty seconds. I said, I'm in,

1418
01:18:51,280 --> 01:18:53,280
Speaker 1: and I became the executive producer of the movie. And

1419
01:18:53,320 --> 01:18:55,760
Speaker 1: we just announced it today, although I have no idea

1420
01:18:55,840 --> 01:18:57,320
Speaker 1: how it had got announced. So I just look at

1421
01:18:57,320 --> 01:18:59,040
Speaker 1: the Drudge Report earlier today and it was rough on

1422
01:18:59,080 --> 01:19:01,760
Speaker 1: the Drudge Report. Um. And I'm really happy about it.

1423
01:19:01,840 --> 01:19:03,439
Speaker 1: I'm really proud of it for a couple of reasons.

1424
01:19:03,560 --> 01:19:06,160
Speaker 1: The movie has a great message. The movie takes you

1425
01:19:06,280 --> 01:19:09,400
Speaker 1: on that emotional roller coaster. I have screened. I have

1426
01:19:09,760 --> 01:19:11,560
Speaker 1: the first cut of the movie, and I've screened it

1427
01:19:11,640 --> 01:19:14,800
Speaker 1: in front of very close friends, and in every case,

1428
01:19:15,040 --> 01:19:19,000
Speaker 1: they laugh, they cry, and it accomplished everything I would

1429
01:19:19,040 --> 01:19:21,479
Speaker 1: ever want any project I'm involved in in a movie

1430
01:19:21,560 --> 01:19:23,760
Speaker 1: to accomplish. I mean, how many more movies can we

1431
01:19:23,840 --> 01:19:28,400
Speaker 1: see based on cartoon characters? All right? Superman, Batman, Batman

1432
01:19:28,479 --> 01:19:32,240
Speaker 1: and Robin Batman and Superman, you know, Captain Whoever America,

1433
01:19:32,280 --> 01:19:34,600
Speaker 1: and it goes on and on. So I invited uh.

1434
01:19:34,720 --> 01:19:38,360
Speaker 1: Sam Sorbo actually helped write the script and Kevin Sorbo

1435
01:19:38,479 --> 01:19:40,679
Speaker 1: and their their kids are also in the movie, Brandon

1436
01:19:40,760 --> 01:19:43,760
Speaker 1: and Shane and Octavia. Octavia is definitely the best looking

1437
01:19:43,800 --> 01:19:46,880
Speaker 1: one in the family. You boys, you need help. She did.

1438
01:19:47,240 --> 01:19:52,559
Speaker 1: She didn't make the but and that's all she did.

1439
01:19:52,720 --> 01:19:54,840
Speaker 1: So to be fair, she didn't have a speaking role

1440
01:19:54,880 --> 01:19:56,800
Speaker 1: in the movie, but she was an extra. Octavia, I

1441
01:19:56,920 --> 01:19:59,639
Speaker 1: still think you did better than your brother. She steals

1442
01:19:59,680 --> 01:20:03,080
Speaker 1: the show. You steal the show. So I had this experience.

1443
01:20:03,080 --> 01:20:06,280
Speaker 1: I've never done this movie before, and working with you, Kevin,

1444
01:20:06,320 --> 01:20:08,759
Speaker 1: I'm working with you, Sam was an eye opening experience

1445
01:20:08,800 --> 01:20:10,680
Speaker 1: for me. You guys handled all the heavy lifting. I'm

1446
01:20:10,720 --> 01:20:12,240
Speaker 1: gonna be blunt. I don't know why I get the

1447
01:20:12,280 --> 01:20:15,760
Speaker 1: executive producer title. But but in reality, you did most

1448
01:20:15,760 --> 01:20:18,080
Speaker 1: of the heavy lifting. Yes, but without financing, we have

1449
01:20:18,160 --> 01:20:23,240
Speaker 1: a movie. I'm good for something. It's in every movie.

1450
01:20:23,280 --> 01:20:24,960
Speaker 1: That's kind of a huge sort of part of it.

1451
01:20:26,240 --> 01:20:28,960
Speaker 1: I'm admitting this for me, financially is a big risk,

1452
01:20:29,000 --> 01:20:30,760
Speaker 1: and I didn't do it for the money. I did

1453
01:20:30,840 --> 01:20:34,559
Speaker 1: it because I love the way movies touch people's hearts

1454
01:20:34,600 --> 01:20:36,600
Speaker 1: and souls, and if this movie doesn't do it, I

1455
01:20:36,640 --> 01:20:38,720
Speaker 1: don't know what will That's I mean for me, that's

1456
01:20:38,720 --> 01:20:40,200
Speaker 1: the reason I even want to be an actor. I

1457
01:20:40,280 --> 01:20:42,519
Speaker 1: wanted to. I wanted to be involved in something that

1458
01:20:42,680 --> 01:20:44,800
Speaker 1: made me laugh, made me cry, made me think, made

1459
01:20:44,800 --> 01:20:46,519
Speaker 1: me get angry, maybe me get happy. I mean, that's

1460
01:20:46,640 --> 01:20:48,479
Speaker 1: that's I think, that's why people go see movies for

1461
01:20:48,520 --> 01:20:50,280
Speaker 1: the most part. But you're right, there's a lot of

1462
01:20:50,360 --> 01:20:52,280
Speaker 1: movies that you walk out of You got a great

1463
01:20:52,400 --> 01:20:54,640
Speaker 1: visual effects, got a great roller coaster ride, but you

1464
01:20:54,680 --> 01:20:57,599
Speaker 1: come out not really caring about any of the characters anybody.

1465
01:20:57,720 --> 01:20:59,559
Speaker 1: This is the type of movie that will make people

1466
01:20:59,640 --> 01:21:02,080
Speaker 1: falling love with the characters. I hate some of the characters,

1467
01:21:02,160 --> 01:21:03,800
Speaker 1: but it will make them laughing, cry. I loved you.

1468
01:21:04,000 --> 01:21:05,759
Speaker 1: I love the way they quoted you. What you compare

1469
01:21:05,760 --> 01:21:08,679
Speaker 1: it to Ghost, God's Not Dead and one other movie?

1470
01:21:08,760 --> 01:21:12,880
Speaker 1: Do you remember Heaven? No, Heaven's no, Heavens for real?

1471
01:21:12,960 --> 01:21:15,280
Speaker 1: Heavens for real? Sorry, it's heaven. Can Waite's got a

1472
01:21:15,320 --> 01:21:16,800
Speaker 1: little bit of that too, though, Because this movie does

1473
01:21:16,880 --> 01:21:19,320
Speaker 1: have some good comedy, comedic movie with all due respect,

1474
01:21:19,360 --> 01:21:21,599
Speaker 1: I mean, you are a total jerk in the beginning

1475
01:21:21,600 --> 01:21:23,360
Speaker 1: of this movie. Thank you, and you do a really

1476
01:21:23,400 --> 01:21:26,400
Speaker 1: good you know you are he really is. I mean,

1477
01:21:26,439 --> 01:21:33,879
Speaker 1: you're an arrogant glitterati paparazzi loved by the mainstream media

1478
01:21:34,439 --> 01:21:37,839
Speaker 1: kind of figure, and you're the atheist and you're beating

1479
01:21:37,920 --> 01:21:41,200
Speaker 1: the crap out of this poor innocent Christian guy in

1480
01:21:41,280 --> 01:21:43,639
Speaker 1: a debate. I'm kind of playing a list in Hollywood

1481
01:21:44,360 --> 01:21:48,240
Speaker 1: basically exactly. And and you know, and then we begin

1482
01:21:48,280 --> 01:21:49,760
Speaker 1: to I don't want to give this story away because

1483
01:21:49,760 --> 01:21:52,840
Speaker 1: I can't give it away, but it's what you go

1484
01:21:53,080 --> 01:21:56,080
Speaker 1: through as a character, this emotional roller coaster. And here's

1485
01:21:56,080 --> 01:21:58,200
Speaker 1: your real life wife. By the way, you you he

1486
01:21:58,360 --> 01:22:00,639
Speaker 1: married way out of his league. Just as a side notes,

1487
01:22:02,120 --> 01:22:05,240
Speaker 1: come on, I played Hercules for seven years. Come on serious,

1488
01:22:06,200 --> 01:22:08,960
Speaker 1: you gotta play the Hercules card on me. Really, um,

1489
01:22:09,320 --> 01:22:12,120
Speaker 1: But it's such an emotional movie and emotional roller coaster,

1490
01:22:12,280 --> 01:22:14,320
Speaker 1: and you, at one point in the movie you are

1491
01:22:14,439 --> 01:22:18,000
Speaker 1: his saving grace. Yeah, it's I wrote it that way

1492
01:22:19,360 --> 01:22:21,800
Speaker 1: so and and it's it's true. It's she's a big

1493
01:22:21,840 --> 01:22:25,240
Speaker 1: part of it. Also, the boys playing playing our boys

1494
01:22:25,280 --> 01:22:28,200
Speaker 1: in the movie also play an amazing role in sort

1495
01:22:28,200 --> 01:22:31,120
Speaker 1: of slapping up with alongside of the head, because you know,

1496
01:22:31,240 --> 01:22:33,840
Speaker 1: Braden's character in the movie definitely doesn't take any guff

1497
01:22:33,880 --> 01:22:37,160
Speaker 1: from me at all. He sees right through me the

1498
01:22:38,560 --> 01:22:41,720
Speaker 1: loving one Shane, but he wants to protect his mom.

1499
01:22:41,960 --> 01:22:46,000
Speaker 1: Yeah question, and often the case with with kids of divorce, right,

1500
01:22:46,080 --> 01:22:48,880
Speaker 1: they have to take on the we got we got

1501
01:22:49,439 --> 01:22:51,439
Speaker 1: Because we're gonna be on your show tonight, which I

1502
01:22:51,560 --> 01:22:54,080
Speaker 1: love and people will see for the first time. A

1503
01:22:54,160 --> 01:22:56,800
Speaker 1: couple of clips from the movie all right now. This

1504
01:22:57,080 --> 01:22:59,400
Speaker 1: is also I've been in a couple of movies, but

1505
01:22:59,560 --> 01:23:02,040
Speaker 1: very small all parts. This is what shocked me. So

1506
01:23:02,160 --> 01:23:04,400
Speaker 1: I do three hours live radio every day, I do

1507
01:23:04,520 --> 01:23:07,479
Speaker 1: an hour live TV every night, and I do a

1508
01:23:07,720 --> 01:23:10,840
Speaker 1: small part with you guys, and we have to tape

1509
01:23:10,880 --> 01:23:15,360
Speaker 1: at four hundred times, even though and I can't memorize lines.

1510
01:23:16,040 --> 01:23:17,439
Speaker 1: It is a true or foul. So I'm gonna scene

1511
01:23:17,560 --> 01:23:20,040
Speaker 1: with both of you and how we did at least

1512
01:23:20,080 --> 01:23:22,840
Speaker 1: twenty five takes different angles different, This different when you

1513
01:23:22,920 --> 01:23:25,599
Speaker 1: look at all the different angles. It was that many times, right, well,

1514
01:23:25,680 --> 01:23:27,679
Speaker 1: like we gotta do it. I don't think I ever

1515
01:23:27,920 --> 01:23:32,040
Speaker 1: once did it exactly the same thing every time you'd

1516
01:23:32,080 --> 01:23:34,800
Speaker 1: being nice and you did a great job. All right, now,

1517
01:23:34,880 --> 01:23:36,880
Speaker 1: but here's the important part. What I say and I

1518
01:23:36,960 --> 01:23:39,360
Speaker 1: can't really go into this makes you cry. In the movie,

1519
01:23:39,880 --> 01:23:42,760
Speaker 1: every one of the takes you cried. I'm gonna start

1520
01:23:42,800 --> 01:23:45,960
Speaker 1: crying right now. I'm sitting there, I'm like, how does

1521
01:23:46,040 --> 01:23:48,760
Speaker 1: she do that? How do you do that? It's just

1522
01:23:49,360 --> 01:23:51,519
Speaker 1: that you build in, you build in the stakes, and

1523
01:23:51,640 --> 01:23:53,759
Speaker 1: if the stakes are high enough, then then the response

1524
01:23:53,800 --> 01:23:56,120
Speaker 1: will be the same every time, very roughly the same.

1525
01:23:56,200 --> 01:23:58,920
Speaker 1: Explain what that means. That means I could not do

1526
01:23:59,080 --> 01:24:01,160
Speaker 1: what you do. So what you say to I don't

1527
01:24:01,160 --> 01:24:03,960
Speaker 1: even cry in real life, but what you well, I do. Right.

1528
01:24:04,120 --> 01:24:05,760
Speaker 1: So what you say to me in the movie is

1529
01:24:05,880 --> 01:24:09,719
Speaker 1: so important to me. And what I'm hearing is different

1530
01:24:09,760 --> 01:24:11,840
Speaker 1: than what your character is saying. What I'm hearing is

1531
01:24:11,920 --> 01:24:15,240
Speaker 1: what my what me personally, what Sam needs to hear.

1532
01:24:15,560 --> 01:24:18,200
Speaker 1: You're you're saying to me exactly what I need to hear,

1533
01:24:18,439 --> 01:24:21,720
Speaker 1: and it's triggering that emotional response. It's it's acting. That's

1534
01:24:21,760 --> 01:24:23,960
Speaker 1: what acting is. Wow, can you do that too? Yeah?

1535
01:24:24,080 --> 01:24:26,920
Speaker 1: I did in the movie, didn't you see it? Yeah?

1536
01:24:29,280 --> 01:24:30,960
Speaker 1: If you think about it, if you think about the

1537
01:24:31,120 --> 01:24:33,880
Speaker 1: when he has his big breakdown in the movie. He

1538
01:24:34,000 --> 01:24:35,760
Speaker 1: shot that. How many times do we shoot that? Ten?

1539
01:24:35,800 --> 01:24:38,479
Speaker 1: Twenty times? I mean, and it was basically the same

1540
01:24:38,560 --> 01:24:40,920
Speaker 1: every time, and then we edited that. To me, is

1541
01:24:40,960 --> 01:24:44,000
Speaker 1: a really that's such a great hook and to the story.

1542
01:24:44,160 --> 01:24:46,360
Speaker 1: The hardest one is your life, which I won't I

1543
01:24:46,400 --> 01:24:48,439
Speaker 1: won't get into because it would give a lot of away.

1544
01:24:48,600 --> 01:24:50,679
Speaker 1: That was really that was the hardest part to watch

1545
01:24:50,720 --> 01:24:52,880
Speaker 1: in the home movie. You're the thing that you go

1546
01:24:53,000 --> 01:24:56,000
Speaker 1: through personally after you end up saving this pathetic soul,

1547
01:24:56,600 --> 01:24:59,920
Speaker 1: and which which which? Which makes it that much more interesting?

1548
01:25:00,240 --> 01:25:02,920
Speaker 1: So where do we go from here? So it takes

1549
01:25:03,000 --> 01:25:05,200
Speaker 1: forever to actually do a movie. I mean, we're not

1550
01:25:05,280 --> 01:25:08,479
Speaker 1: releasing this, but we're not the movie. You know. The

1551
01:25:08,680 --> 01:25:10,760
Speaker 1: cut that I had is now done. Sam's had to

1552
01:25:10,800 --> 01:25:12,479
Speaker 1: look at what she wanted for the movie as well.

1553
01:25:12,560 --> 01:25:14,479
Speaker 1: We've passed it onto the bells and Whistles teams, which

1554
01:25:14,479 --> 01:25:16,000
Speaker 1: I call the guys that do the color correcting into

1555
01:25:16,000 --> 01:25:18,080
Speaker 1: the visual effects to the sound. We still got a

1556
01:25:18,200 --> 01:25:19,360
Speaker 1: d r stuff to do. We had you do a

1557
01:25:19,439 --> 01:25:21,400
Speaker 1: couple extra lines as well for the movie. It will

1558
01:25:21,400 --> 01:25:24,040
Speaker 1: be done by probably February, late February, but it is

1559
01:25:24,120 --> 01:25:26,120
Speaker 1: a it's it's a Christmas type of movie, so it

1560
01:25:26,120 --> 01:25:28,519
Speaker 1: won't come out till November. And you see movies all

1561
01:25:28,520 --> 01:25:30,800
Speaker 1: the time being I mean there's movies right now that

1562
01:25:30,880 --> 01:25:35,280
Speaker 1: are being coming for the Fall of Avatar. Yeah, they

1563
01:25:35,400 --> 01:25:37,120
Speaker 1: do a year in advance. It's kind of the way

1564
01:25:37,160 --> 01:25:39,720
Speaker 1: it is now. It's building this whole sort of grassroots

1565
01:25:39,800 --> 01:25:41,760
Speaker 1: approach to sort of let people be aware of it,

1566
01:25:41,840 --> 01:25:43,200
Speaker 1: be aware of it, be aware of it. You have to,

1567
01:25:43,400 --> 01:25:46,240
Speaker 1: especially in a small budget movie like this. It's you

1568
01:25:46,360 --> 01:25:49,320
Speaker 1: want to make small budget was a lot of my money. No,

1569
01:25:49,479 --> 01:25:51,760
Speaker 1: it's a lot of money to me too. But when

1570
01:25:51,800 --> 01:25:53,759
Speaker 1: you're looking at when you're looking at movies that shoot

1571
01:25:53,800 --> 01:25:57,080
Speaker 1: for a hundred hundred million dollars movie Avatars, I think

1572
01:25:57,120 --> 01:25:59,679
Speaker 1: both the ones James Cameron's doing, I think three million dollars.

1573
01:25:59,800 --> 01:26:01,760
Speaker 1: Let's a budget just for for p and A on that,

1574
01:26:01,960 --> 01:26:07,920
Speaker 1: what's the budget on the eighty million for Crazy and

1575
01:26:08,080 --> 01:26:10,120
Speaker 1: so what we need We need the long runway to

1576
01:26:10,160 --> 01:26:12,439
Speaker 1: get this plane off the ground because we don't have

1577
01:26:12,600 --> 01:26:15,479
Speaker 1: all the money from the press, the faith based world.

1578
01:26:15,520 --> 01:26:18,439
Speaker 1: And we're talking to Billy Graham, we're talking to Joel Olstein's,

1579
01:26:18,439 --> 01:26:22,200
Speaker 1: we're talking to you. I talked to I talked to

1580
01:26:22,320 --> 01:26:24,640
Speaker 1: Jerry Fallwell. Junior talked to Franklin Graham. They're both very

1581
01:26:24,680 --> 01:26:26,960
Speaker 1: excited about it. Doing the app for the movie. It's

1582
01:26:27,000 --> 01:26:29,800
Speaker 1: not it's fantastic. I couldn't remember what the charity was

1583
01:26:29,880 --> 01:26:33,280
Speaker 1: on the Hollywood reporter. Guy, we're doing what's the food

1584
01:26:33,280 --> 01:26:36,360
Speaker 1: banks of America? We're benefiting food banks in America. I

1585
01:26:36,400 --> 01:26:37,720
Speaker 1: didn't know how to say it right, so I said,

1586
01:26:37,720 --> 01:26:40,680
Speaker 1: I get back to him. No, I think it's a

1587
01:26:40,800 --> 01:26:43,160
Speaker 1: great idea, and there's what we should mention. There is

1588
01:26:43,200 --> 01:26:45,559
Speaker 1: an app right because people don't. It's kind I kind

1589
01:26:45,560 --> 01:26:47,200
Speaker 1: of like it because it's really cool because it has

1590
01:26:47,240 --> 01:26:49,560
Speaker 1: a charity component to it that's real. But to me,

1591
01:26:49,840 --> 01:26:53,840
Speaker 1: I think this this movie has more potential because I

1592
01:26:54,000 --> 01:26:56,599
Speaker 1: just I go to movies all the time. They don't

1593
01:26:56,680 --> 01:26:59,679
Speaker 1: move me, they don't budge me. I knew the script

1594
01:27:00,120 --> 01:27:02,200
Speaker 1: was part of the production. I was there from the

1595
01:27:02,280 --> 01:27:05,560
Speaker 1: beginning and it's still moved me in a pretty deep ways.

1596
01:27:06,080 --> 01:27:08,559
Speaker 1: And you see a rough cut of it. Yeah, because

1597
01:27:08,640 --> 01:27:10,559
Speaker 1: you know, here's the reality with these type of movies.

1598
01:27:10,600 --> 01:27:12,320
Speaker 1: As we said earlier, that a lot of movies don't

1599
01:27:12,360 --> 01:27:14,640
Speaker 1: move people. Hollywood, for the most part wants to go

1600
01:27:14,760 --> 01:27:16,840
Speaker 1: up to the thirty younger crowd because they're the type

1601
01:27:16,840 --> 01:27:18,360
Speaker 1: that will go to three, four or five times as

1602
01:27:18,400 --> 01:27:20,720
Speaker 1: the Star wars, and that's what they want. But as

1603
01:27:20,880 --> 01:27:23,640
Speaker 1: my movies, what if God's Not Dead Abelesfield, movies like

1604
01:27:23,720 --> 01:27:26,879
Speaker 1: that that you liked, what what that's There's an audience

1605
01:27:26,960 --> 01:27:29,040
Speaker 1: out there that wants movies that can touch you, that

1606
01:27:29,320 --> 01:27:31,120
Speaker 1: that can teach their kids a more or lesson, a

1607
01:27:31,320 --> 01:27:33,679
Speaker 1: value lesson. You know, New York and l A everything between.

1608
01:27:33,720 --> 01:27:35,439
Speaker 1: They call fly over states. Well, those fly over states

1609
01:27:35,479 --> 01:27:39,840
Speaker 1: have millions and millions of people. The Trump exactly. I

1610
01:27:39,920 --> 01:27:42,000
Speaker 1: remember during at one point you asked me can he win?

1611
01:27:42,080 --> 01:27:43,320
Speaker 1: Can he win? And I'm like, yeah, of course he

1612
01:27:43,400 --> 01:27:45,400
Speaker 1: can win. You know. You know what's amazing is that

1613
01:27:45,800 --> 01:27:48,120
Speaker 1: is that somebody sent me a map of America, sold

1614
01:27:48,200 --> 01:27:51,400
Speaker 1: the money the three Let's say there's three thousand counties

1615
01:27:51,439 --> 01:27:54,559
Speaker 1: in America. He won basically two thousand, nine hundred of them.

1616
01:27:55,080 --> 01:27:58,200
Speaker 1: It's I mean, it's unbelievable. It is they all read

1617
01:27:58,439 --> 01:28:01,200
Speaker 1: and except for your big at ease, But look at

1618
01:28:01,240 --> 01:28:04,160
Speaker 1: a city like this, as tiny an island as Manhattan is.

1619
01:28:04,400 --> 01:28:09,640
Speaker 1: It is eight million people voted for Hillary. That that's it.

1620
01:28:09,800 --> 01:28:12,519
Speaker 1: You know, everyone made a big deal about the popular vote,

1621
01:28:12,520 --> 01:28:14,320
Speaker 1: and I'm like, well, Donald Trump wanted to run up

1622
01:28:14,320 --> 01:28:16,800
Speaker 1: as popular vote totally would have gone to California, New York,

1623
01:28:16,880 --> 01:28:20,400
Speaker 1: New Jersey, and Illinois. They love to talk about the

1624
01:28:20,400 --> 01:28:22,560
Speaker 1: popular vote. What they miss is that most of the

1625
01:28:22,600 --> 01:28:25,439
Speaker 1: country voted against Hillary. Most of the country did not

1626
01:28:25,640 --> 01:28:28,920
Speaker 1: vote for Hillary. I think, yes, I that's a great

1627
01:28:28,960 --> 01:28:30,840
Speaker 1: way to look at it in terms of mass Yeah,

1628
01:28:30,880 --> 01:28:33,799
Speaker 1: it's all right. Um, I think Hollywood has made a mistake.

1629
01:28:33,840 --> 01:28:37,400
Speaker 1: I think they've become very formulaic, very predictable. I think

1630
01:28:37,479 --> 01:28:40,080
Speaker 1: they only want to make money, which is their main concern.

1631
01:28:40,360 --> 01:28:43,120
Speaker 1: And I think what what really motivated me? When look,

1632
01:28:43,160 --> 01:28:44,800
Speaker 1: you got to admit I was a pretty quick sell

1633
01:28:44,960 --> 01:28:47,760
Speaker 1: because I think the message the movie was right. If

1634
01:28:47,800 --> 01:28:49,960
Speaker 1: you presented me with something that didn't motivate me, I

1635
01:28:50,000 --> 01:28:52,040
Speaker 1: wouldn't have been interested. We brought an isis too and

1636
01:28:52,360 --> 01:28:55,280
Speaker 1: go to them and you kind of like that there

1637
01:28:55,400 --> 01:28:57,800
Speaker 1: is a reference. There are references to Isis in the movie.

1638
01:28:57,960 --> 01:28:59,519
Speaker 1: But this is a great point. Is you know, we

1639
01:28:59,640 --> 01:29:02,840
Speaker 1: didn't Trump tapped into an emotion of feeling that's happening

1640
01:29:02,840 --> 01:29:05,599
Speaker 1: in the United States. We have we tapped into that also,

1641
01:29:06,200 --> 01:29:08,920
Speaker 1: that's why that's why you responded to it as quickly

1642
01:29:09,000 --> 01:29:11,519
Speaker 1: as you did. And this is before Trump won the election,

1643
01:29:11,720 --> 01:29:15,400
Speaker 1: So so there is there's a site geist that's happening

1644
01:29:15,479 --> 01:29:18,080
Speaker 1: now where people are fed up with the political correctness.

1645
01:29:18,400 --> 01:29:22,040
Speaker 1: They want honesty, they want truth, they want answers, and

1646
01:29:22,160 --> 01:29:24,519
Speaker 1: I think that that this movie also taps into that

1647
01:29:24,680 --> 01:29:26,720
Speaker 1: too well the movie. And by the way, you are

1648
01:29:26,800 --> 01:29:29,400
Speaker 1: far better Christians than me. I love I'm the Christian

1649
01:29:29,479 --> 01:29:31,760
Speaker 1: that was like on the cross next to Jesus that said,

1650
01:29:32,120 --> 01:29:34,400
Speaker 1: I'm the one that belongs here. You know, you don't.

1651
01:29:34,760 --> 01:29:36,200
Speaker 1: I'm the one that I don't know. I think we

1652
01:29:36,280 --> 01:29:38,880
Speaker 1: all belong in, right. I know he does, I don't

1653
01:29:38,880 --> 01:29:42,240
Speaker 1: know about you. Certainly, Shane and Brandon, don't you know

1654
01:29:42,320 --> 01:29:45,559
Speaker 1: our our pastor couple brought up something pretty Octavia. There

1655
01:29:45,640 --> 01:29:48,000
Speaker 1: you go. My pastor brought up something interesting couples, and

1656
01:29:48,080 --> 01:29:49,360
Speaker 1: he said, you know a lot of people were voting

1657
01:29:49,400 --> 01:29:51,600
Speaker 1: centers want to vote for the lesser two evils. He said, well,

1658
01:29:51,640 --> 01:29:53,800
Speaker 1: unless Jesus is running for office, they're all running for

1659
01:29:53,880 --> 01:29:57,360
Speaker 1: the you know, by the way, the pastor in the

1660
01:29:57,479 --> 01:30:02,200
Speaker 1: movie is Michael Franchise and he's a former mob guy

1661
01:30:02,479 --> 01:30:05,400
Speaker 1: that was in solitary in real life in prison, had

1662
01:30:05,439 --> 01:30:08,519
Speaker 1: a Bible and became a Christian and a pastor in

1663
01:30:08,640 --> 01:30:10,120
Speaker 1: real life. So it's a real it's a real nice

1664
01:30:10,160 --> 01:30:12,200
Speaker 1: He's got a huge following across the country. And then

1665
01:30:12,280 --> 01:30:14,600
Speaker 1: I gotta say one of Dion Warwick was amazing with

1666
01:30:14,680 --> 01:30:17,280
Speaker 1: the music. And I got to say Travis Tripp was

1667
01:30:17,280 --> 01:30:18,840
Speaker 1: great to Did we say the title of the movie,

1668
01:30:18,840 --> 01:30:21,800
Speaker 1: it's let there there be light. People, Just get ready

1669
01:30:21,840 --> 01:30:23,240
Speaker 1: for that. More and more stuff we're coming out in

1670
01:30:23,280 --> 01:30:28,000
Speaker 1: the hashtag LTBL. We'll see you guys tonight on TV.

1671
01:30:28,720 --> 01:30:30,679
Speaker 1: All right, and by the way, good you guys were great,

1672
01:30:30,800 --> 01:30:35,439
Speaker 1: especially Octavia. By the way, if your brothers ever bother,

1673
01:30:35,640 --> 01:30:38,400
Speaker 1: you tell me. I'm a brown belt now and I'm

1674
01:30:38,439 --> 01:30:40,840
Speaker 1: working towards my black belt. Okay, all right, thank you,