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Speaker 1: Let not your heart be troubled. You are listening to

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Speaker 1: the Sean Hannity Radio Show podcast. Alright, happy debate day,

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Speaker 1: forty three days till election Day. We've got the best

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Speaker 1: election coverage available on your radio dial today and less

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Speaker 1: than six hours from the first presidential debate. It's right here.

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Speaker 1: It's in Long Island, it's in New York, and so

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Speaker 1: glad you could be with us. Right down our toll

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Speaker 1: free telephone number. We'd love to hear from you today.

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Speaker 1: It's eight hundred nine four one, Sean. And Hillary is

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Speaker 1: clearly doing exactly what I thought she would do. She's

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Speaker 1: trying to get Donald Trump to react. We saw it

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Speaker 1: twice this weekend. Let me explain first by somehow Mark

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Speaker 1: Cuban is gonna We're gonna put Mark Cuban in nemesis

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Speaker 1: of Donald Trump, right in the front row. Well, that's

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Speaker 1: now beginning to backfire because everyone kind of forgot, and

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Speaker 1: we brought it up last night on Hannity that, well,

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Speaker 1: Mark Cuban's got a problem. He says. You know, I

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Speaker 1: know I'm prejudiced. I know I'm bigoted in a lot

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Speaker 1: of different ways, he said in an interview. And then

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Speaker 1: I see a black kid in a hoodie on my

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Speaker 1: side of the street, I'm moving to the other side

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Speaker 1: of the street. Tolerant of different views, and it's not

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Speaker 1: necessarily easy for everybody to adopt or adapt or evolve.

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Speaker 1: I mean, we're all prejudice in one way or the other.

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Speaker 1: If I see a black kid in a hoodie and

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Speaker 1: it's late at night, I'm walking to the other side

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Speaker 1: of the street. Ouch, is Hillary going to disinvite him?

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Speaker 1: Now he's not in the front row anymore. So that

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Speaker 1: was done to get into Donald Trump's had Donald Trump

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Speaker 1: had some fun with it. They never planned on inviting

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Speaker 1: Jennifer Flowers or Paula Jones or Kathleen Willie or one

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Speaker 1: either Broderick and I'll get to that later in the program.

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Speaker 1: They all want to go. All of them want to go.

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Speaker 1: I got a text from Paula Jones. I'd love to go.

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Speaker 1: I'll go, Can I go? I want to go. I

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Speaker 1: want to tickets to the big event. Um. And I

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Speaker 1: don't blame her because these women know that Hillary in

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Speaker 1: fact wasn't enabled her to Bill Clinton, and she wants

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Speaker 1: to be the women's candidate. So uh, that was instance

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Speaker 1: number one. The home Mark Cuban thing. I think that

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Speaker 1: has now backfired. The Trump campaign has announced people that

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Speaker 1: they are inviting to be at the at the debate tonight,

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Speaker 1: less than six hours away, including General Flynn, General Keith Kellogg,

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Speaker 1: and Benghazi hero Mark oz Geist and Sealed Team six

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Speaker 1: gold Star Mom. You know her if you listen to

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Speaker 1: this program regularly, Karen Vaughan, She's gonna be there tonight

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Speaker 1: in the audiences as well. Um, so that backfired. And

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Speaker 1: then the other thing I think Hillary is like, please,

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Speaker 1: Lester Holt, we need you. Your job is the fact

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Speaker 1: checked him or he's gonna lie. As long as she

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Speaker 1: brought up lying, I can remind everybody of all of

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Speaker 1: her lies because the list is too numerous. So if

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Speaker 1: we're gonna have fact checking, let's have it. And even

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Speaker 1: the Debate Commission co chair you know, is now urging

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Speaker 1: Lester hole to take on Trump to give you the

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Speaker 1: idea this. You know, they were so angry at Matt Loud.

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Speaker 1: What did Matt Loward do wrong except ask her about

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Speaker 1: her email server, which is a legitimate question which people

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Speaker 1: have lost their jobs and careers over, and that she

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Speaker 1: got a pass on. So why isn't that a legitimate question.

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Speaker 1: Poor Matt Loward got beaten up for that. But anyway,

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Speaker 1: to give you an idea how stacked the deck is,

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Speaker 1: they're trying to make it against Donald Trump. Tonight, you

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Speaker 1: have the co chair of the eve vaunted, allegedly nonpartisan

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Speaker 1: Presidential Debate Commission openly urging Lester Hold to go after

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Speaker 1: Trump tonight. I always thought that one of the biggest

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Speaker 1: problems Trump is facing in these debates is the fact

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Speaker 1: that Mike McCurry. Mike McCurry was Bill Clinton's White House

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Speaker 1: Press secretary and propagandist. He's one of the two co

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Speaker 1: chairs of the Debate Commission. I mean, give me a

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Speaker 1: freaking break here. We have a full fledged Clinton Easta

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Speaker 1: calling the shots on how these debates are supposed to

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Speaker 1: be run. And I don't know why Trump and Ryan's

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Speaker 1: previous will join us later today, knew Kingridge will join

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Speaker 1: us later to day as well. I don't know why

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Speaker 1: they didn't cry foul the minute that McCurry's name turned

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Speaker 1: up as co chair, which was months ago. So you

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Speaker 1: have a Clinton Debate Commission now co chair openly calling

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Speaker 1: on the debate moderator to go after Trump anyway. Moderators

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Speaker 1: have been given a thankless task, said Mike McCurry, who

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Speaker 1: teaches at Wesley Theological Seminary in Washington and is the

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Speaker 1: co chair of the Presidential Debate Commission. Quote, keep control,

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Speaker 1: encourage the candidates to fact check each other without getting

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Speaker 1: in the way, but step in if prevarication proliferates. Oh

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Speaker 1: so you got the Debate Commission by co chaired by

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Speaker 1: the former White House Press Secretary of Bill Clinton, now

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Speaker 1: lecturing Lester Holt on how to do his job and

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Speaker 1: giving him his marching orders. Basically, you need to pull

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Speaker 1: a Candy Crowley on Donald Trump the way Candy Crowley

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Speaker 1: pulled it on Mitt Romney. Unbelievable. You don't follow orders Lester,

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Speaker 1: and Trump goes on to win the election. It will

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Speaker 1: never work in the news business again. Um. You know,

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Speaker 1: it's interesting. The one person that has spoken out about

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Speaker 1: this is Jim Lair. Jim Lair formally of PBS News Hour.

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Speaker 1: I've interviewed him a number of times. I actually like him,

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Speaker 1: a very nice guy. Moderated every first presidential debate of

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Speaker 1: the general election campaign campaign between and and. He says,

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Speaker 1: I don't think the I don't think fact checking is

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Speaker 1: the function of the moderator. It's the moderator's job to

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Speaker 1: make sure the candidate has the opportunity to do the

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Speaker 1: fact checking. It's a difference. If the moderator fact checked

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Speaker 1: all the time, you'd never get through it. And people

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Speaker 1: sitting out there want the moderator to yell liar, it

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Speaker 1: ain't gonna happen, said Lair. And if Matt Lower had

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Speaker 1: both Hillary Clinton and Donald Trump sitting there together in

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Speaker 1: a debate situation and asked the question and Trump gave

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Speaker 1: that answer, only would have to say, is Secretary Clinton

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Speaker 1: you answer the roll? The moderators to be the referee,

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Speaker 1: not to be the judge. Bob Schieffer said that another

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Speaker 1: experience moderator, I would hope that Lester my look, I

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Speaker 1: gotta tell my experience with Lester Holt has actually been favorable.

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Speaker 1: I've known him for a number of years when I

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Speaker 1: used to do morning shows and I'd go on the

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Speaker 1: Today Show. There are a couple of times he interviewed me.

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Speaker 1: I never had any any problems with him anyway. Um,

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Speaker 1: remember I had this little brew haha with Nate Silver said,

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Speaker 1: how Hannity doesn't believe in the polls. He's saying don't

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Speaker 1: believe in the polls here, I actually, oh, I say do.

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Speaker 1: I do believe in the polls, And sometimes there are

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Speaker 1: skewed polls, and I try and look into the deep

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Speaker 1: reasons why and figure it out. But I think, by

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Speaker 1: and large, you know, poll numbers are to be believed

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Speaker 1: and to be trusted. And if I'm running a campaign,

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Speaker 1: I am going to look at the aggregate of poll

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Speaker 1: numbers and the real Clear Politics average, and I'm gonna

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Speaker 1: think it's probably somewhere in that area anyway. So Nate

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Speaker 1: Silver's five thirty eight UH is just at their projections

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Speaker 1: ahead of the debate tonight. Given the odds to Republican

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Speaker 1: nominee Donald Trump, if the election were held today, Trump

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Speaker 1: leads with fifty four point nine fifty four point nine

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Speaker 1: percent chance of winning the election. Now, the wind projection

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Speaker 1: stems from Trump winning the key battleground states of Florida, Ohio,

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Speaker 1: North Carolina, Lina, and Nevada. The same projection shows Clinton

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Speaker 1: winning Pennsylvania, Colorado, and Virginia. I'm not sure why she's

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Speaker 1: up in Colorado, considering there's been a number of polls

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Speaker 1: that has Trump up there, and you I think that's

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Speaker 1: not even the big story of the day, and we'll

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Speaker 1: get to that in a minute. Some of these these

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Speaker 1: poll numbers, but I will say this, and I'll go

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Speaker 1: through what I think Trump needs to do tonight and

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Speaker 1: how he needs to handle her. And it's just my advice,

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Speaker 1: not that anyone's gonna listen to me. But I'm balance.

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Speaker 1: I think I'm pretty optimistic about tonight's debate. I think Trump,

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Speaker 1: by giving all of these policy speeches, all of these

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Speaker 1: interviews as he has, I think he has become extraordinarily

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Speaker 1: well versed in terms of the topics of discussion. I'd

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Speaker 1: also think he's a natural for these kind of settings.

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Speaker 1: I think he enjoys it, generally enjoys passionate debate. I

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Speaker 1: think Hillary probably right now, is terrified, which is why

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Speaker 1: they're going through the This juvenile won't put Mark Cuban

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Speaker 1: in the front row, and and Lester, you really need

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Speaker 1: to help us luster come on, it's not fair. You

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Speaker 1: need to fact check him. Well, that's Hillary's job. So

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Speaker 1: I think he's a natural. I think she's nervous. She's

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Speaker 1: got everything to lose here. He's got a larger than

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Speaker 1: life personality that that transmits a sense of authority. And

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Speaker 1: I think the one thing that he's very well aware

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Speaker 1: that she's gonna do is is not gonna work, because

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Speaker 1: I think I think every single thing she says tonight,

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Speaker 1: every answer, is going to try and advance a narrative

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Speaker 1: that he's gonna doesn't have the temperament to be president.

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Speaker 1: So I think Hillary and her team have composed the

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Speaker 1: number of ways they're gonna try and piss him off,

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Speaker 1: aggravate him, agitate him, irritate him, hurt his feelings, and

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Speaker 1: upset him. They'll mention Trump University, They'll mention tax returns,

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Speaker 1: They'll mention things he said in the past. They'll mention

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Speaker 1: not paying employees, bankruptcy, divorce, how he treats women, he's

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Speaker 1: a racist, he's a flip flower. All of it she's

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Speaker 1: gonna do. And I don't think Trump is gonna bite.

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Speaker 1: And I think Trump probably has answers for every one

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Speaker 1: of them. And there is a great opportunity for jiu

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Speaker 1: jitsu here little martial arts analogy, considering I had a

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Speaker 1: lot of jiu jitsu this morning. Anyway, the answer to

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Speaker 1: all of this is, you gotta expected. If you expect

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Speaker 1: somebody's gonna fire a taxi, you you. You build an

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Speaker 1: impenetrable shield and you smile, you laugh, you ignore, and

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Speaker 1: you have your answers prepared to come back, and you

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Speaker 1: just can't show any anger, any irritation or impatience. And

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Speaker 1: I'm not saying Trump. Look, the first and foremost thing

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Speaker 1: Trump's gotta do is he's doing well being Trump. Trump's

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Speaker 1: gives gotta be Trump. But don't you know, I wouldn't

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Speaker 1: get into facial expressions, eye rolling and that sort of

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Speaker 1: thing and acting annoyed. I'd be the cheerful presidential alternative

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Speaker 1: to the typical quintessential DC politician that's been there her

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Speaker 1: whole life and has done nothing enough said it's really done.

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Speaker 1: What is she accomplished? Oh? I want to defeat? Isis? Oh?

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Speaker 1: I want to fix the economy? I don't want to

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Speaker 1: do this. I don't want to do that. What have

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Speaker 1: you done? You've been there forever? This is a change election,

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Speaker 1: you know. By negative thirty seven minus thirty seven, Americans

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Speaker 1: think we're on the wrong track. Americans are right, we're

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Speaker 1: literally losing the country we love. And Hillary Clinton, I

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Speaker 1: think what this? She is the one person that has

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Speaker 1: made millions and millions and millions of dollars, given speeches

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Speaker 1: to big banks, big insurance companies, Wall Street firms, special

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Speaker 1: interest She wants his tax returns. I want her speeches.

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Speaker 1: What did she say in those speeches? She doesn't want

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Speaker 1: us to see what promises were made by her, just

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Speaker 1: like she took all these this money from foreign countries

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Speaker 1: that have atrocious human rights record, like the Saudis that

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Speaker 1: mistreat women, gaze lesbians, Christians, and Jews. I bring that

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Speaker 1: up with them Donald Trump tonight. There's plenty of time

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Speaker 1: to talk about those things. But overall, this is a

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Speaker 1: choice election, and I've been giving you the statistics about

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Speaker 1: how bad this is anyway, so you know I would

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Speaker 1: watch out for that with Trump. And one of my

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Speaker 1: favorite moments during the primary debates was when Trump was

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Speaker 1: asked about Vincent's Foxes. You know we're not gonna pay

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Speaker 1: for that blanking wall, and Trump said, well, the wall

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Speaker 1: just got ten feet higher. He brought down the house.

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Speaker 1: I mean, humor is usually probably the most underutilized weapon

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Speaker 1: in a debate, and for as for the rest of

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Speaker 1: the debate, nobody really cared how Trump was gonna pay

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Speaker 1: for the Mexican Wall, and I think in the end

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Speaker 1: he's explained to me numerous times. He's not expecting a

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Speaker 1: check from Mexico, but there are ways that they'll have

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Speaker 1: to pay. And Hillary, I don't think has any of

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Speaker 1: the talent that Donald Trump has. She's dull, she's boring,

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Speaker 1: she's overprepared. By this point, I heard she was doing

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Speaker 1: double duty sessions all weekend freaking out. They're obviously panicked.

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Speaker 1: They're scared that he's gonna throw a knockout punch that

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Speaker 1: they can't deal with. She's extremely unlikable. Even Democratic strategists

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Speaker 1: are scared to death tonight and that the public doesn't

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Speaker 1: like her. And now she's got the addage stress of

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Speaker 1: trying to show that she's got some energy in her

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Speaker 1: and that she's not ill. To a degree, people will

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Speaker 1: be looking into how she looks tonight. You know, Trump

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Speaker 1: is spontaneous, he's quick witted, he's just a natural. And

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Speaker 1: you know Hillary is a stodgy, lifelong plotting, methodical politician.

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Speaker 1: With that is doesn't seem like a happy person. She's

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Speaker 1: gonna get strident. Her voice will remind people of fingernails

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Speaker 1: on a chalkboard if she does. And the health that

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Speaker 1: she was gonna be, you know, she's got a stand

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Speaker 1: for ninety minutes, no commercial breaks, no chance to sit down,

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Speaker 1: no bathroom break, and if she has a coughing fit,

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Speaker 1: nobody can walk out and save her. If she gets

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Speaker 1: wobbly on her feet, she needs a chair to sit down.

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Speaker 1: If her handles have to rush to the podium to

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Speaker 1: catch her before she goes down, the election is over.

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Speaker 1: So there's plenty of reasons, uh that I think she's

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Speaker 1: got reason to be nervous tonight. But I would say

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Speaker 1: the one thing I'm watching out for is the Candy

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Speaker 1: Crowley factor. We learned that in the second debate with

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Speaker 1: Mitt Romney in twelve after he had a knockout win

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Speaker 1: in the first debate, you got one biased interjection by

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Speaker 1: Candy Crowley of CNN, and I would argue that it

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Speaker 1: just it devastated Romney at that point. And that was

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Speaker 1: because Crowley became Obama's special pleader during the second debate,

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Speaker 1: using what ultimately was false information to contradict Romney and

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Speaker 1: make him look like he didn't know what he was

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Speaker 1: talking about. But Romney was right, and Paul's taken after

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Speaker 1: Romney's first debate showed him six points ahead after the debate.

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Speaker 1: Number two with the Crowley fiasco, Romney's momentum was stopped

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Speaker 1: right dead there in its tracks. So you know, let's see,

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Speaker 1: all right, Lester Holts a nice guy, but he's being

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Speaker 1: pressured big time. He doesn't probably want to go through

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Speaker 1: his colleague Matt Lauer went through. Everyone says, well, he's

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Speaker 1: a publican. I don't really think so. Remember Democrats that

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Speaker 1: kept claiming Anita Hill was a Reagan Republican. No, I don'tn't.

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Speaker 1: I don't think so. Can I prove that Lester Holt

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Speaker 1: is gonna pull a Candy Crowley? I hope not, but

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Speaker 1: I don't trust the media at all. My buddy Larry

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Speaker 1: Cuddlo was out there on Saturday morning, and he's got

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Speaker 1: a lot of street credit in this campaign. He was

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Speaker 1: a former top official in the Reagan administration Office of

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Speaker 1: Management and Budget, and he and Steve Moore have co

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Speaker 1: authored large portions of Trump's economic plan. Anyway, during his

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Speaker 1: show of This Weekend, Cudlo shared an anecdote about Lester

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Speaker 1: Holt i've ever heard before in according to Ham, after

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Speaker 1: Reagan's death, lester Holt wanted to interview him, and during

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Speaker 1: the interview, Cudlow described how Reagan tax cuts turned the

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Speaker 1: American economy around, created tens of millions of new jobs

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Speaker 1: and boost the tax revenue, and according to Cudlow, lester

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Speaker 1: Holt responded by saying, yeah, but didn't Reagan create a

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Speaker 1: lot of poor people? My good grief that did not.

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Speaker 1: That does not bode well. Alright, eight hundred nine four one, Sean,

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Speaker 1: you want to be a part of the program. We'll

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Speaker 1: get to as many calls as we can today. New

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Speaker 1: Gingrich rans previous James Woolsey, the former CIA director under

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Speaker 1: Bill Clinton, is now supporting Trump. He'll join us today.

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Speaker 1: More of my advice for Trump tonight as we continue.

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Speaker 1: It's that big a choice selection the Supreme Court, which

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Speaker 1: will impact this country for generations. At stake a president.

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Speaker 1: Do you want one that can say radical Islam or not?

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Speaker 1: A president that will listen to their top intelligence officials

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Speaker 1: on the vetting of refugees or not. You want to

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Speaker 1: take in all these refugees, you want us to become

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Speaker 1: Paris and France and Great Britain and Germany and Belgium

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Speaker 1: and the rest of Europe. It's a huge issue on

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Speaker 1: a president that will control our borders build a wall.

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Speaker 1: Do you want the bridge that Hillary will build. You

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Speaker 1: want more taxes, more spending, more redistribution, a death tax,

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Speaker 1: That's Hillary's plan. Trump he wants to incentivize multinational corporations

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Speaker 1: to bring truly is back. Trump wants energy independence. Hillary

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Speaker 1: wants coal mining businesses out of business, coal miners out

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Speaker 1: of work. Obamacare repeal and replace or keep it in

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Speaker 1: some form or fashion or maybe single pair to replace it.

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Speaker 1: Education back to the states, or top down common cores.

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Speaker 1: So what's at stake here? So, as I said, um,

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Speaker 1: I think it's gonna send shivers down Democratic spines. Nate Silver,

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Speaker 1: beloved by Democrats, is five thirty eight website. The liberal

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Speaker 1: gold standard of political prognostication is now predicting a Donald

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Speaker 1: Trump victory the election were held today. Trump leads fifty

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Speaker 1: four point nine with a chance to winning the election.

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Speaker 1: The win projection stems from Trump winning the key battleground

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Speaker 1: states of Florida, Ohio, North Carolina, Nevada, and that Paul

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Speaker 1: even has Clinton winning Pennsylvania, Colorado, and Virginia, none of

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Speaker 1: which is a short thing by any stretch of the imagination. Now,

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Speaker 1: this is a a pretty interesting development. Got a number

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Speaker 1: of polls that have come out today and yesterday that

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Speaker 1: I want to bring to your attention. You got Trump

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Speaker 1: plus two in the Bloomberg Pole, which I think is

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Speaker 1: pretty interesting, and Quinnipiac has Clinton plus one. L A

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Speaker 1: Times Tracking has Trump plus four. You got the CNN

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Speaker 1: r C pole has Trump plus one in Colorado, Pennsylvania.

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Speaker 1: CNN O r C has Clinton plus one in Pennsylvania.

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Speaker 1: This is after Michigan and Wisconsin are now within three

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Speaker 1: points too, and it's very close in Virginia at least

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Speaker 1: according to one pole. Some have Hillary up by more.

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Speaker 1: There you've got Pennsylvania. The other poll that came out

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Speaker 1: on Sunday, the Morning Call Pole, only as Clinton by two.

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Speaker 1: This is not good for Hillary Clinton. Colorado Graves pole

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Speaker 1: has Trump up by four. Another pole has Trump up

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Speaker 1: in Ohio. So I think this report by CNN and

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Speaker 1: Jeff Zeleny is probably somewhere in the accurate area. That

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Speaker 1: probably Larry hasn't been to Ohio since Labor Day, is

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Speaker 1: probably pulling out because elite is crumbling in states she

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Speaker 1: has to win. She has to win Wisconsin, Michigan, and

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Speaker 1: Pennsylvania if she wants any chance to be the president.

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Speaker 1: So it looks like, well, maybe the people of Pennsylvania,

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Speaker 1: those bitter people that cling to their God, guns and

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Speaker 1: religion is sick and tired of being out of work. Anyway,

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Speaker 1: he's closed the gap, and he's passed Hillary in and

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Speaker 1: most of the other battleground states, but Pennsylvania, which the

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Speaker 1: media keeps insisting is an absolute win for Trump to

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Speaker 1: get an electoral college majority. Well, now we've got the

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Speaker 1: differences well within the margin of vera. At one point.

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Speaker 1: You also have Trump passing Hillary in the first liberal

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Speaker 1: media poll. With this, let's see Bloomberg News poll Trump

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Speaker 1: getting to Clinton's another poll out there. This is a

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Speaker 1: pretty interesting development too. This was in Newsday on Friday

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Speaker 1: that the experts have been telling us for months that

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Speaker 1: Donald Trump is having trouble attracting suburban voters that he

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Speaker 1: needs to win, Uh, you know, affluent, well educated voting

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Speaker 1: block if he's gonna have a chance of defeating Hillary. Well,

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Speaker 1: don't look now, but Donald Trump has pulled ahead in

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Speaker 1: the largest, most well educated, most affluent, highest tax suburban

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Speaker 1: the country, which is Long Island, New York. On According

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Speaker 1: to Newsday, Trump had at lead in Nassau County percent

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Speaker 1: lead in Suffolk County. Any Way, these are people that

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Speaker 1: know Hillary very well. That's a problem. Got some funny

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Speaker 1: notes on our website about people that sent in one

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Speaker 1: liners about Lester Holt if he takes the bait and

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Speaker 1: tries to be Hillary's fact checker now that the campaign

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Speaker 1: is panicked and put all the burden on Lester anyway, Hey, Lester,

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Speaker 1: Trump can respond, this is a presidential candidate debate. I

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Speaker 1: don't recall seeing your name on any presidential primary ballots

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Speaker 1: this past year. Or Hillary accuses Trump of being a liar.

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Speaker 1: Hillary lies so much, even lied about the origin of

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Speaker 1: your name, claiming that you were named after New Zealand

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Speaker 1: Sir Edmund Hillary first scaled Mount Everest when you were

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Speaker 1: five years old, or your parents that clairvoyant. Of course,

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Speaker 1: we can talk about my favorite Hillary lie. As we

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Speaker 1: came under sniper fire. I was just tired when I

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Speaker 1: said that. That wasn't certainly do remember that trip to

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Speaker 1: Bosnia and uh, I remember landing under sniper fire. It

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Speaker 1: was supposed to be some kind of a greeting ceremony

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Speaker 1: at the airport, but instead we just ran with our

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Speaker 1: heads down to get to the vehicles, to get to

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Speaker 1: our base. Remember no, wait, that's what I said when

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Speaker 1: I was sick deprived. You can read my book, and

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Speaker 1: I said something very different. Yeah, I misspoke. It was

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Speaker 1: totally I was totally misspoke. You know. I've talked about

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Speaker 1: this endlessly, I wrote about it, and I don't know

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Speaker 1: what I was thinking, because, yeah, we were told that

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Speaker 1: we had to land under you know, some threats, and

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Speaker 1: the military did a great job. I was the first

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Speaker 1: first lady taken to a war z. Okay, let me

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Speaker 1: just step in here. She landed under flower fire by

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Speaker 1: little girls handing her flowers. A sleep depride of that

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Speaker 1: sounded like a good story at the time. Politico is

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Speaker 1: warning Hillary today you better not cough. Are offering debate

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Speaker 1: tips to Hillary Clinton for tonight's big showdown. One bit

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Speaker 1: of advice that stood out from all the rest is Hillary,

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Speaker 1: whatever you do tonight, under any circumstances, don't cough. Maybe

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Speaker 1: we should try and put people in the audience that

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Speaker 1: starf a great senator, a decent progressive human being, Hillary Rodman.

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Speaker 1: Thank you all. Wow, Oh, I think we could go

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Speaker 1: home right now. Too much to say thank you, Cincinnati.

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Speaker 1: I am really delighted to have the opportunity to be

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Speaker 1: here at the Jewish Federation of Greater des Moines. Excuse

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Speaker 1: me just one second here, have a way. You know,

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Speaker 1: the only problem is with that advice is it's probably counterproductive.

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Speaker 1: You ever noticed that when you have a little bit

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Speaker 1: of irritation in your throat, which probably wouldn't bother you

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Speaker 1: under any normal setting. But let's say you're somewhere where

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Speaker 1: coughing might be a problem, like a movie theater, or

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Speaker 1: sitting in a church or listening to a speech, somewhere

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Speaker 1: where you kind of need to be quiet. That pretty

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Speaker 1: much guarantees you're gonna have a cough once the coughing starts.

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Speaker 1: The fact that you're trying to suppress it usually just

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Speaker 1: makes it worse. Poor dilemma or Hillary. I hope she's

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Speaker 1: okay tonight. Um. Anyway, so we got all of that

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Speaker 1: happening at the Bloomberg Pole here in front of me.

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Speaker 1: What else did I want to bring to you? Clinton

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Speaker 1: forty four, Trump forty three in the Quinnipiac University polls.

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Speaker 1: We got some good poll numbers out there. Now. One

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Speaker 1: of the fallouts from Hillary trying to play games with

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Speaker 1: this whole Mark Cuban issue. Let's invite Mark Cuban. We

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Speaker 1: what I'm in the front row to irritate Donald Trump. Well,

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Speaker 1: and by the way, I don't have anything against Mark Cuban,

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Speaker 1: and I'm sure he was I don't. I don't know

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Speaker 1: anything about him, to be honest. I mean, he's a

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Speaker 1: flamboyant owner of the the Dallas Mavericks. I mean, that's

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Speaker 1: really all I really know about him in a billionaire

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Speaker 1: seems like a nice guy. But he did say very

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Speaker 1: controversial racial things. You know, when he when he talks

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Speaker 1: about I'm prejudiced, I'm bigoted, he says, you know, I

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Speaker 1: see a black kid in a hoodie walking down the street,

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Speaker 1: I'm walking across the street. That's a problem if he's

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Speaker 1: supporting Hillary. Now, Hillary invited him, Hillar, are you gonna

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Speaker 1: disinvite him now, apparently still going as a guest to

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Speaker 1: Hillary Clinton. Imagine if it was Trump who had invited

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Speaker 1: somebody who had said that. My biggest point here is

425
00:23:48,119 --> 00:23:52,439
Speaker 1: this such a huge, massive double standard. Kathleen Willie was

426
00:23:52,480 --> 00:23:55,120
Speaker 1: interviewed by Breitbart dot Com and she said that Bill

427
00:23:55,160 --> 00:23:58,680
Speaker 1: Clinton sexual assault victims could fill up the entire auditorium

428
00:23:58,680 --> 00:24:01,760
Speaker 1: at tonight's debate. The looks of it, the stampede has

429
00:24:01,800 --> 00:24:05,080
Speaker 1: started because once the Mark Cuban issue went out. Then

430
00:24:05,920 --> 00:24:08,680
Speaker 1: Donald Trump tweeted, well, maybe I'll just bring Jennifer Flowers.

431
00:24:08,720 --> 00:24:11,560
Speaker 1: Obviously was joking. The only people that don't get it

432
00:24:11,640 --> 00:24:14,600
Speaker 1: or the gullible liberal news media that have zero sense

433
00:24:14,640 --> 00:24:18,360
Speaker 1: of humor. But Paula Jones wanted to Broderick. They've announced

434
00:24:18,359 --> 00:24:21,000
Speaker 1: they they'd love to go. They'd love to join Jennifer

435
00:24:21,040 --> 00:24:25,400
Speaker 1: Flowers at Hofstra University in Hempstead, Long Island at the

436
00:24:25,440 --> 00:24:29,720
Speaker 1: Max Sports Complex. Anyway, on Friday, the Clinton campaign announced

437
00:24:29,760 --> 00:24:32,360
Speaker 1: Mark Cuban is going, and Paula Jones, yes, I want

438
00:24:32,359 --> 00:24:36,200
Speaker 1: to go. She wants to join, Jennifer Flowers want Roderick

439
00:24:36,280 --> 00:24:41,679
Speaker 1: wants to go, Kathleen Willie go, remember me? Wow? Okay?

440
00:24:41,720 --> 00:24:44,639
Speaker 1: And you know Hillary wants to talk about lying. You know,

441
00:24:44,720 --> 00:24:47,440
Speaker 1: she made the statement. Remember she made this statement. I

442
00:24:47,240 --> 00:24:50,879
Speaker 1: I've always tried to tell the truth to the American people,

443
00:24:51,000 --> 00:24:54,399
Speaker 1: but in reality, she doesn't always try to tell the truth.

444
00:24:55,480 --> 00:24:58,480
Speaker 1: You know. The Trump Pence campaign now that she made

445
00:24:58,560 --> 00:25:02,520
Speaker 1: lying an issue, they put out thirty six separate lies

446
00:25:02,680 --> 00:25:07,040
Speaker 1: that she's told the American people, starting with the YouTube

447
00:25:07,119 --> 00:25:11,480
Speaker 1: video being blamed for the Benghazi terror attack while privately

448
00:25:11,560 --> 00:25:14,719
Speaker 1: telling her daughter the Libyan president, the Egyptian Prime minister

449
00:25:15,440 --> 00:25:18,440
Speaker 1: that had had nothing to do with the film. She's

450
00:25:18,440 --> 00:25:22,280
Speaker 1: publicly touted the Russian reset, while private privately admitting that

451
00:25:22,320 --> 00:25:25,720
Speaker 1: it's a failure. Clinton has tried to rewrite history of

452
00:25:25,720 --> 00:25:30,800
Speaker 1: her policies towards Syria. You know, she has, uh, you know,

453
00:25:30,840 --> 00:25:32,600
Speaker 1: when you look at some of the other things she said.

454
00:25:32,640 --> 00:25:37,359
Speaker 1: She falsely claimed that emails from sid Vicious Blumenthal were unsolicited,

455
00:25:37,880 --> 00:25:41,320
Speaker 1: when in fact Clinton treated him as a secret off

456
00:25:41,359 --> 00:25:45,680
Speaker 1: the book's adviser. She tried to downplay and mislead about

457
00:25:45,680 --> 00:25:47,879
Speaker 1: her vote to authorize the war in Iraq. She was

458
00:25:47,920 --> 00:25:52,240
Speaker 1: all for it. He sounded just like George W. Bush.

459
00:25:52,520 --> 00:25:54,200
Speaker 1: I still think it was the right thing to do.

460
00:25:55,400 --> 00:25:58,240
Speaker 1: You know, it was funny Eric Whimple over the Washington Post.

461
00:25:58,840 --> 00:26:03,040
Speaker 1: Donald Trump had mentioned at well, he mentioned Sean Hannon. Yeah,

462
00:26:03,040 --> 00:26:05,000
Speaker 1: Donald Trump and I used to argue over the Iraq

463
00:26:05,080 --> 00:26:08,360
Speaker 1: war all the time. He talked to me about it

464
00:26:09,240 --> 00:26:11,960
Speaker 1: the lead up to the war. After the war started,

465
00:26:13,200 --> 00:26:15,399
Speaker 1: I know, he told Howard Stern. I guess so, okay,

466
00:26:15,440 --> 00:26:17,960
Speaker 1: I guess I was not supporting a war on the

467
00:26:18,000 --> 00:26:21,280
Speaker 1: Howard Stern Show. Howard Stern just mentioning it in passing

468
00:26:21,280 --> 00:26:23,360
Speaker 1: and anyone on Neil Cavudo's show, and we took a

469
00:26:23,359 --> 00:26:27,040
Speaker 1: stronger position. And I remember him and I because I've

470
00:26:27,040 --> 00:26:29,960
Speaker 1: known him all these years. We had private argument. He

471
00:26:30,000 --> 00:26:32,240
Speaker 1: would call me. Out of the blue I finished TV boom,

472
00:26:32,400 --> 00:26:34,840
Speaker 1: there was Donald Trump. He goes, you're not right on this.

473
00:26:34,920 --> 00:26:37,680
Speaker 1: Let me tell you why. It's kind of the nature

474
00:26:37,680 --> 00:26:39,439
Speaker 1: of the relationship that we had. We we just kind

475
00:26:39,480 --> 00:26:42,159
Speaker 1: of had friendly debates. He was against it. I know

476
00:26:42,240 --> 00:26:46,080
Speaker 1: from my own personal experience. You know, Clinton admittage he

477
00:26:46,160 --> 00:26:50,879
Speaker 1: voted against the Iraq War purely for political reasons. You know.

478
00:26:50,960 --> 00:26:52,400
Speaker 1: I mean, I could go on and on just going

479
00:26:52,400 --> 00:26:54,680
Speaker 1: through all of these lines just over the private server.

480
00:26:56,000 --> 00:26:58,479
Speaker 1: But what that's said, that's not you know, debates are

481
00:26:58,520 --> 00:27:01,400
Speaker 1: about moments. We to remember this. Sometimes you gotta get

482
00:27:01,400 --> 00:27:05,280
Speaker 1: the big picture when you think about presidential debates, and

483
00:27:05,960 --> 00:27:07,920
Speaker 1: you know, I think the big picture is I don't

484
00:27:07,960 --> 00:27:11,520
Speaker 1: think people are that interested if you know, you know

485
00:27:11,560 --> 00:27:14,239
Speaker 1: who the prime minister of this country or that country is.

486
00:27:14,280 --> 00:27:16,359
Speaker 1: I think people are gonna see if Donald Trump falls

487
00:27:16,400 --> 00:27:19,800
Speaker 1: for Hillary's bait. Our goal is to make him bubble

488
00:27:19,880 --> 00:27:22,480
Speaker 1: and fizz like Alka Seltzer and water. His job is

489
00:27:22,520 --> 00:27:25,880
Speaker 1: to stay focused, not fall for it, and not get angry,

490
00:27:26,200 --> 00:27:28,639
Speaker 1: and to basically shake his head like there you go again,

491
00:27:28,760 --> 00:27:32,280
Speaker 1: just like Ronald Reagan did to Jimmy Carter. This is

492
00:27:32,320 --> 00:27:36,080
Speaker 1: a change election. There are big issues here. Thirty eight

493
00:27:36,080 --> 00:27:38,720
Speaker 1: percent now of the American people think this country is

494
00:27:38,800 --> 00:27:42,439
Speaker 1: on the wrong track. And it is. You know, Hillary

495
00:27:42,480 --> 00:27:46,439
Speaker 1: Clinton has enriched herself more than any other person in

496
00:27:46,560 --> 00:27:49,760
Speaker 1: political private life. She's lied more than any person as well.

497
00:27:50,920 --> 00:27:54,680
Speaker 1: This is about overall themes. This is about the Supreme Court.

498
00:27:54,720 --> 00:27:57,960
Speaker 1: This is about the the economy, cutting taxes, raising taxes,

499
00:27:58,040 --> 00:28:03,119
Speaker 1: energy independence or dependence. Obamacare repeal or place or double down.

500
00:28:03,840 --> 00:28:06,920
Speaker 1: Refugees Vedama. Don't build a wall. Not build a wall,

501
00:28:07,080 --> 00:28:10,879
Speaker 1: rebuild the military. Don't rebuild the military. What is the

502
00:28:11,000 --> 00:28:14,359
Speaker 1: US role in the world? Hillary's four starting wars and

503
00:28:14,359 --> 00:28:16,880
Speaker 1: then pulling out and saying, oh oops, five thousand dead.

504
00:28:16,920 --> 00:28:19,720
Speaker 1: We made a mistake. WHOOPSI daisy as she did not

505
00:28:19,840 --> 00:28:24,359
Speaker 1: that long ago. The worst recovery since the forties, lowest

506
00:28:24,400 --> 00:28:28,120
Speaker 1: lord labor participation rate in the seventies, twelve million more

507
00:28:28,119 --> 00:28:31,320
Speaker 1: Americans on food stamps, eight million more Americans in poverty,

508
00:28:31,760 --> 00:28:34,879
Speaker 1: fifty one year low in the home ownership rate, first

509
00:28:34,920 --> 00:28:37,639
Speaker 1: president never to reach three percent g d P growth

510
00:28:37,640 --> 00:28:40,880
Speaker 1: in history. One in five families without a single family

511
00:28:40,880 --> 00:28:43,160
Speaker 1: member in the labor force, one in six American men

512
00:28:43,240 --> 00:28:46,160
Speaker 1: eighteen the thirty four and jail or living in mommy,

513
00:28:46,240 --> 00:28:50,600
Speaker 1: your daddy's basement. And Black America suffered disproportionately more than

514
00:28:50,640 --> 00:28:55,240
Speaker 1: any other demographic group, fifty eight percent, increased Black Americans

515
00:28:55,240 --> 00:28:59,120
Speaker 1: on food stamps, increased Black Americans out of the labor force.

516
00:28:59,720 --> 00:29:02,440
Speaker 1: And he is accumulated Obama more debt than every other

517
00:29:02,480 --> 00:29:07,480
Speaker 1: president before him combined. This is a major, major difference

518
00:29:07,600 --> 00:29:10,880
Speaker 1: on all of these big issues. We've gone over all

519
00:29:10,920 --> 00:29:14,080
Speaker 1: of this a million times in the specifics of all

520
00:29:14,120 --> 00:29:16,280
Speaker 1: this a million times, and now it's going to be

521
00:29:16,320 --> 00:29:19,200
Speaker 1: a matter of Donald Trump being able to deliver that

522
00:29:19,280 --> 00:29:22,400
Speaker 1: and show the American people that he's serious and that

523
00:29:22,520 --> 00:29:25,800
Speaker 1: we can reverse this negative trend we have in this

524
00:29:25,840 --> 00:29:29,920
Speaker 1: country and become a land of opportunity once again. That's

525
00:29:29,920 --> 00:29:33,040
Speaker 1: what we need more than anything else. We need a

526
00:29:33,080 --> 00:29:36,280
Speaker 1: ladder to success. We need a ladder of prosperity. We

527
00:29:36,320 --> 00:29:39,200
Speaker 1: don't need higher taxes, we don't need more regulation, we

528
00:29:39,240 --> 00:29:43,000
Speaker 1: don't need more bureaucracy. We don't need any more top

529
00:29:43,080 --> 00:29:48,840
Speaker 1: down Washington corruption rammed down our throats, and putting America first,

530
00:29:48,840 --> 00:29:52,360
Speaker 1: and getting America's economy going first, and American workers back

531
00:29:52,400 --> 00:29:56,440
Speaker 1: to work first, incentivizing trillions of dollars to come back

532
00:29:56,440 --> 00:29:59,640
Speaker 1: into the country, millions of high paying job if we've

533
00:29:59,680 --> 00:30:03,360
Speaker 1: moved words energy independence, with the added bonus, of course

534
00:30:03,360 --> 00:30:07,440
Speaker 1: of national security benefits. These are all basic fundamental differences

535
00:30:08,000 --> 00:30:11,520
Speaker 1: that exists between Hillary and Trump. So we're now what

536
00:30:12,880 --> 00:30:16,360
Speaker 1: five hours away, nearly five hours away. Well, if you

537
00:30:16,400 --> 00:30:20,440
Speaker 1: want to be official, five hours and ten minutes away

538
00:30:20,640 --> 00:30:23,480
Speaker 1: from this big debate tonight, and we'll be on I

539
00:30:23,480 --> 00:30:25,200
Speaker 1: guess it ends at eleven, will be on at twelve

540
00:30:25,200 --> 00:30:27,840
Speaker 1: o'clock Easter. I think we're gonna be on two hours tonight,

541
00:30:27,840 --> 00:30:31,800
Speaker 1: which will be fun. Alright, eight hundred nine four one, Shawn,

542
00:30:31,880 --> 00:30:35,360
Speaker 1: you want to be a part of this extravaganza and

543
00:30:35,480 --> 00:30:37,120
Speaker 1: so much to get to. We've got new ging Ridge

544
00:30:37,120 --> 00:30:39,440
Speaker 1: at the top of the next hour. James Woolsey, former

545
00:30:39,480 --> 00:30:42,200
Speaker 1: CIA director. He's supporting Trump. He worked for Bill Clinton

546
00:30:42,240 --> 00:30:45,160
Speaker 1: as a CIA director. Ryant's previous has been on a

547
00:30:45,200 --> 00:30:47,520
Speaker 1: lot of these debate sessions with Trump, he'll join us

548
00:30:48,040 --> 00:30:50,680
Speaker 1: is whe him yesterday. I know we're a lot less

549
00:30:50,720 --> 00:30:56,520
Speaker 1: tolerance of different views, and it's not necessarily easy for

550
00:30:56,560 --> 00:31:01,200
Speaker 1: everybody to adopt or adapt or you've involve. I mean,

551
00:31:01,200 --> 00:31:03,959
Speaker 1: we're all prejudice in one way or the other. If

552
00:31:04,040 --> 00:31:06,560
Speaker 1: I see a black kid in a hoodie and it's

553
00:31:06,680 --> 00:31:08,520
Speaker 1: late at night, I'm walking to the other side of

554
00:31:08,560 --> 00:31:10,360
Speaker 1: the street, and if on that side of the street

555
00:31:10,520 --> 00:31:14,280
Speaker 1: there's a guy that has tattoos all over his face,

556
00:31:14,560 --> 00:31:18,640
Speaker 1: white guy, bald head, tattoos everywhere, I'm walking back to

557
00:31:18,680 --> 00:31:21,000
Speaker 1: the other side of the street, and the list goes

558
00:31:21,080 --> 00:31:24,640
Speaker 1: on of of stereotypes that we all live up to

559
00:31:24,840 --> 00:31:28,360
Speaker 1: and and are fearful of. And so in my business

560
00:31:28,440 --> 00:31:31,120
Speaker 1: is trying to be hypocritical. You know, I know that

561
00:31:31,160 --> 00:31:33,240
Speaker 1: I'm not perfect. I know that I live in a

562
00:31:33,240 --> 00:31:36,440
Speaker 1: glass house and it's not appropriate for me to throw stones.

563
00:31:36,680 --> 00:31:40,360
Speaker 1: And so when I run into bigotry and organizations I control,

564
00:31:40,640 --> 00:31:43,840
Speaker 1: I try to to find solutions. I'll work with people,

565
00:31:43,920 --> 00:31:46,400
Speaker 1: I'll send them to training, and I'll send them to

566
00:31:46,440 --> 00:31:49,240
Speaker 1: sensitivity training. Um I'll try to give them a chance

567
00:31:49,360 --> 00:31:53,760
Speaker 1: to to, you know, improve themselves, because I think improving

568
00:31:53,880 --> 00:31:58,040
Speaker 1: helping people improve their lives, helping people engage with people

569
00:31:58,080 --> 00:32:01,280
Speaker 1: they made fear of they don't understand, and helping people

570
00:32:01,680 --> 00:32:06,000
Speaker 1: realize that while we all have our prejudices and bigotries, UM,

571
00:32:06,200 --> 00:32:09,080
Speaker 1: we we have to learn that it's an issue that

572
00:32:09,120 --> 00:32:11,760
Speaker 1: we have to control. That is part of my responsibility

573
00:32:11,800 --> 00:32:15,120
Speaker 1: as an entrepreneur to try to to solve it, not

574
00:32:15,280 --> 00:32:17,760
Speaker 1: just to kick the problem down the road, because it

575
00:32:18,040 --> 00:32:21,320
Speaker 1: does society, does my company no good, does my customers

576
00:32:21,360 --> 00:32:24,360
Speaker 1: no good. Um, it does society no good. If my

577
00:32:24,520 --> 00:32:28,760
Speaker 1: response to somebody um and their racism or bigotry is

578
00:32:28,800 --> 00:32:30,880
Speaker 1: to say, it's not right for you to be here,

579
00:32:31,120 --> 00:32:33,520
Speaker 1: go take your attitude somewhere else. All right. That was

580
00:32:33,600 --> 00:32:37,120
Speaker 1: Mark Cuban making his remarks. Of course, the special guest

581
00:32:37,360 --> 00:32:39,800
Speaker 1: of Hillary Clinton tonight. You he was gonna be in

582
00:32:39,840 --> 00:32:42,280
Speaker 1: the front row, and I guess after some pushback, I

583
00:32:42,280 --> 00:32:43,640
Speaker 1: guess he's not going to be in the front row,

584
00:32:43,720 --> 00:32:46,480
Speaker 1: but he's still an invited guest of Hillary Clinton. And yeah,

585
00:32:46,520 --> 00:32:49,040
Speaker 1: that was him saying, I know I'm prejudiced, I know

586
00:32:49,160 --> 00:32:51,600
Speaker 1: I'm bigoted. He said, I know if I see a

587
00:32:51,640 --> 00:32:53,880
Speaker 1: black kid in a hoodie on my side of the street,

588
00:32:53,920 --> 00:32:55,760
Speaker 1: I'm moving to the other side of the street, and

589
00:32:55,760 --> 00:32:57,600
Speaker 1: then of course went on to say I stand by

590
00:32:57,680 --> 00:33:00,440
Speaker 1: these words and the substance of my interview. You. Now,

591
00:33:00,480 --> 00:33:03,320
Speaker 1: the question is Hillary Clinton once said that our mentor

592
00:33:03,560 --> 00:33:07,280
Speaker 1: was Robert the former Klansman are Robert KKK Bird And

593
00:33:07,320 --> 00:33:10,560
Speaker 1: now she's inviting somebody's admitting his prejudiced and bigoted and

594
00:33:10,600 --> 00:33:12,320
Speaker 1: would walk to the other side of the street if

595
00:33:12,360 --> 00:33:13,960
Speaker 1: she saw, if he saw a black kid in a

596
00:33:14,000 --> 00:33:17,400
Speaker 1: hoodie as her special guest, imagine if Donald Trump did this.

597
00:33:17,680 --> 00:33:20,280
Speaker 1: All right, we are just what four short well five

598
00:33:20,320 --> 00:33:23,200
Speaker 1: short hours now away from tonight's big debate, joining us

599
00:33:23,240 --> 00:33:25,280
Speaker 1: now as former Speaker of the House, New king Rich

600
00:33:25,480 --> 00:33:28,480
Speaker 1: and last night on TV you said he should be uninvited.

601
00:33:28,520 --> 00:33:32,080
Speaker 1: Well understand interestingly the scale of the double standard because

602
00:33:32,120 --> 00:33:35,240
Speaker 1: this had been a Donald Trump invite who said something

603
00:33:35,320 --> 00:33:37,040
Speaker 1: like that, It would be a New York Times editorial,

604
00:33:37,040 --> 00:33:40,120
Speaker 1: to be a Washington Post editorial, they'd be horrified. But

605
00:33:40,400 --> 00:33:44,240
Speaker 1: of course Hillary Clinton is on the right side of liberalism,

606
00:33:44,280 --> 00:33:47,320
Speaker 1: and therefore when good liberals say things, you can always

607
00:33:47,360 --> 00:33:49,800
Speaker 1: shrug them off and they don't really mean it, or

608
00:33:49,880 --> 00:33:52,560
Speaker 1: they really have good hearts. Um, but yeah, I mean

609
00:33:53,000 --> 00:33:55,880
Speaker 1: just the phrase the way, he said, again, go back

610
00:33:55,960 --> 00:33:58,680
Speaker 1: to the period he's talking about the attitude of the

611
00:33:58,680 --> 00:34:02,080
Speaker 1: President of States, that whole process. It's kind of fascinating,

612
00:34:02,160 --> 00:34:05,320
Speaker 1: and I think it's just one more example of why

613
00:34:05,360 --> 00:34:08,320
Speaker 1: the country at large doesn't take these people seriously anymore.

614
00:34:08,320 --> 00:34:10,640
Speaker 1: They used to have in the bullet lecturers. I think

615
00:34:10,760 --> 00:34:13,520
Speaker 1: that's almost totally gone now, and people just don't believe them.

616
00:34:13,520 --> 00:34:16,040
Speaker 1: I think that's true. Um, Now, we do know that

617
00:34:16,080 --> 00:34:18,319
Speaker 1: Donald Trump had tweeted, I'll find if they want to

618
00:34:18,320 --> 00:34:21,799
Speaker 1: invite him, maybe I'll maybe I'll invite Jennifer Flowers, he said,

619
00:34:21,840 --> 00:34:23,520
Speaker 1: And they said all weekend that was not the case.

620
00:34:23,600 --> 00:34:26,160
Speaker 1: Jennifer Flowers said she wanted to go, and then Paula

621
00:34:26,200 --> 00:34:28,719
Speaker 1: Jones said she wanted to go, and Kathleen Willy wants

622
00:34:28,760 --> 00:34:30,839
Speaker 1: to go, and wanted a broader quanted to go all

623
00:34:30,880 --> 00:34:32,799
Speaker 1: on their own. Be interesting to see if any of

624
00:34:32,840 --> 00:34:35,760
Speaker 1: them show up tonight. But the Trump camp did invite

625
00:34:35,800 --> 00:34:40,920
Speaker 1: General Mike Flynn. They did invite Benghazi hero Mark oz

626
00:34:41,040 --> 00:34:44,480
Speaker 1: Geist is going Sealed Team six, gold Star Mother, Somebody's

627
00:34:44,480 --> 00:34:47,120
Speaker 1: been on this program many times. Karen Vaughan is going,

628
00:34:47,200 --> 00:34:50,680
Speaker 1: General Keith Kelly is going, Bruce Lavella is going among

629
00:34:50,680 --> 00:34:53,719
Speaker 1: the invited guests for Donald Trump. Geist of course, was

630
00:34:53,760 --> 00:34:56,080
Speaker 1: a member of the Annex security team that went in

631
00:34:56,160 --> 00:34:59,479
Speaker 1: to fight orders and went to save lives that night

632
00:34:59,520 --> 00:35:01,960
Speaker 1: when Hill Clinton was wondering whether he needs, we needed

633
00:35:01,960 --> 00:35:04,759
Speaker 1: permission from Libya to actually send in troops to save

634
00:35:04,800 --> 00:35:07,600
Speaker 1: Americans under fire, and she was very concerned and had

635
00:35:07,600 --> 00:35:10,240
Speaker 1: our brave men and women change their clothes four times.

636
00:35:10,239 --> 00:35:12,719
Speaker 1: So I guess there's a pretty strong message being sent

637
00:35:12,800 --> 00:35:15,799
Speaker 1: there tonight by Donald Trump. Well, I think that it's

638
00:35:15,800 --> 00:35:19,480
Speaker 1: a very pro national security group. He's gotten that lineup.

639
00:35:19,520 --> 00:35:22,000
Speaker 1: I also think it's clearly you know today a very

640
00:35:22,080 --> 00:35:25,960
Speaker 1: wide range of Bush administration officials endorsed Trump this morning,

641
00:35:26,160 --> 00:35:28,760
Speaker 1: um and once again was a step in the right direction.

642
00:35:29,080 --> 00:35:31,719
Speaker 1: He also got an endorsement from a group of people

643
00:35:31,719 --> 00:35:35,160
Speaker 1: who deal directly with immigration, some five thousand members who

644
00:35:35,200 --> 00:35:37,520
Speaker 1: work for the government on the whole issue of immigration.

645
00:35:37,920 --> 00:35:42,040
Speaker 1: So you see a continued momentum towards Trump of people

646
00:35:42,040 --> 00:35:44,920
Speaker 1: who you know, you would not necessarily expect in the

647
00:35:44,960 --> 00:35:47,480
Speaker 1: past and who are saying luck he's right on the

648
00:35:47,520 --> 00:35:50,080
Speaker 1: issues again. General Flynn, for example, former head of the

649
00:35:50,080 --> 00:35:53,560
Speaker 1: Defense Intelligence Agency, author of a book on national security,

650
00:35:53,760 --> 00:35:56,359
Speaker 1: very senior guy. He's not there as an accident. He's

651
00:35:56,400 --> 00:35:59,040
Speaker 1: there because he genuinely believes were in trouble, and he

652
00:35:59,080 --> 00:36:01,560
Speaker 1: genuinely believes me somebody with Donald Trump to save us.

653
00:36:01,680 --> 00:36:04,120
Speaker 1: This is a high stakes debate tonight, and I have

654
00:36:04,239 --> 00:36:06,080
Speaker 1: made the case, and I think you agree with me

655
00:36:06,280 --> 00:36:09,520
Speaker 1: that Hillary cannot run on Libya. She can't run on Egypt.

656
00:36:09,600 --> 00:36:11,719
Speaker 1: She can't run on Syria. She can't run on the

657
00:36:11,760 --> 00:36:14,840
Speaker 1: Iranian Deal for sure, or Iraq and Afghanistan, or the

658
00:36:14,880 --> 00:36:18,000
Speaker 1: reset with Putin, or China, North Korea. She can't run

659
00:36:18,000 --> 00:36:20,719
Speaker 1: on that record. She says she's gonna basically continue the

660
00:36:20,760 --> 00:36:23,960
Speaker 1: Obama economic plan, which has been disastrous. I don't think

661
00:36:23,960 --> 00:36:25,960
Speaker 1: she makes a big point of that tonight. She hasn't

662
00:36:26,000 --> 00:36:28,240
Speaker 1: been making any of these points on the campaign trail.

663
00:36:28,360 --> 00:36:31,600
Speaker 1: She's not going to run on honesty and truthfulness and character.

664
00:36:31,760 --> 00:36:34,120
Speaker 1: So the only thing left I guess in the arsenal

665
00:36:34,200 --> 00:36:35,920
Speaker 1: for her are the only bullet in the gun. In

666
00:36:36,000 --> 00:36:38,920
Speaker 1: terms of verbal attacks, it's gonna be against Donald Trump

667
00:36:38,920 --> 00:36:41,640
Speaker 1: and try and throw him off to show America the

668
00:36:41,760 --> 00:36:44,319
Speaker 1: narrative is true that she's advancing that he doesn't have

669
00:36:44,360 --> 00:36:46,879
Speaker 1: the temperament to be president. Does he fall for us tonight? Well,

670
00:36:46,880 --> 00:36:50,120
Speaker 1: I don't think you'll fall forward accidents. She'll have two pronks.

671
00:36:50,320 --> 00:36:53,280
Speaker 1: One will be to needle Trump and to go after Trump.

672
00:36:53,320 --> 00:36:56,640
Speaker 1: The other will be to repeat a series of wild promises.

673
00:36:57,040 --> 00:37:00,440
Speaker 1: You know, she's going to have free college education for everybody.

674
00:37:00,560 --> 00:37:03,640
Speaker 1: She's going to take care of of everybody who needs childcare.

675
00:37:03,800 --> 00:37:06,840
Speaker 1: She's gonna fix everything we need in terms of healthcare.

676
00:37:06,920 --> 00:37:09,040
Speaker 1: To go down the list of the laundry list of

677
00:37:09,160 --> 00:37:12,960
Speaker 1: left wing promises, that all of them involved giving away something.

678
00:37:13,080 --> 00:37:16,520
Speaker 1: And so she'll be very sincerely in favor of taking

679
00:37:16,560 --> 00:37:18,880
Speaker 1: on her many friends, for exampled the big banks and

680
00:37:19,040 --> 00:37:21,120
Speaker 1: UH and Wall Street who have given her all the money.

681
00:37:21,160 --> 00:37:23,520
Speaker 1: But but she'll she'll say all the right things. I mean,

682
00:37:23,880 --> 00:37:25,839
Speaker 1: my guess is and I think I may have read

683
00:37:25,840 --> 00:37:29,400
Speaker 1: this somewhere. They may have had twenty debate sessions practicing

684
00:37:29,440 --> 00:37:32,719
Speaker 1: for this on Hillary side. Um. In fact, I'm gonna

685
00:37:32,760 --> 00:37:35,240
Speaker 1: watch carefully to see when she gets asked her question,

686
00:37:35,400 --> 00:37:38,520
Speaker 1: is there a brief pause while she tried to remember

687
00:37:38,760 --> 00:37:43,719
Speaker 1: which answer that's supposed to triggered It's a real danger.

688
00:37:43,960 --> 00:37:47,080
Speaker 1: It happened to Reagan in the first debate, they gave

689
00:37:47,160 --> 00:37:49,520
Speaker 1: them too much stuff, and instead of relaxing and being

690
00:37:49,600 --> 00:37:52,759
Speaker 1: Ronald Reagan, he was trying to perform the debate his

691
00:37:52,840 --> 00:37:55,439
Speaker 1: staff wanted, which of course was much less then once

692
00:37:55,480 --> 00:37:57,279
Speaker 1: you get if you just got Ronald Reagan. And my

693
00:37:57,360 --> 00:38:00,439
Speaker 1: hope is that Trump will be relaxed, the he will

694
00:38:00,520 --> 00:38:03,160
Speaker 1: go in there, you know. And actually a lot of

695
00:38:03,160 --> 00:38:05,200
Speaker 1: people I don't in Washington with me in this. I

696
00:38:05,200 --> 00:38:07,680
Speaker 1: think all he needs to do is be Donald Trump. Um,

697
00:38:07,719 --> 00:38:10,920
Speaker 1: he is a guy who understands the biggest thing. I

698
00:38:10,960 --> 00:38:13,120
Speaker 1: did a piece yesterday on the hedgehog and the fox.

699
00:38:13,680 --> 00:38:16,439
Speaker 1: The fox knows many little things that the hedgehog knows

700
00:38:16,520 --> 00:38:19,760
Speaker 1: one really big thing, and Donald Trump knows it ain't

701
00:38:19,760 --> 00:38:21,759
Speaker 1: working and we need to change it. And that is

702
00:38:21,960 --> 00:38:25,000
Speaker 1: the number one thing you need to know to reach

703
00:38:25,040 --> 00:38:27,840
Speaker 1: the American people this year. You know, it's interesting, Nate Silver.

704
00:38:28,160 --> 00:38:31,239
Speaker 1: Liberals love the guy, but he has now adjusted his

705
00:38:31,360 --> 00:38:36,040
Speaker 1: site five thirty eight and his projections before this debate tonight.

706
00:38:36,120 --> 00:38:38,319
Speaker 1: Given the odds now to Donald Trump to be the

707
00:38:38,360 --> 00:38:40,960
Speaker 1: next president of the election were held today, said Trump

708
00:38:41,040 --> 00:38:44,160
Speaker 1: leads with forty fifty four point nine percent chance of

709
00:38:44,200 --> 00:38:47,799
Speaker 1: winning the election. I mean a dramatic shift and reversal

710
00:38:47,920 --> 00:38:50,160
Speaker 1: of of where he was. But also if you just

711
00:38:50,160 --> 00:38:51,960
Speaker 1: look at all the latest poll numbers. I mean, we

712
00:38:51,960 --> 00:38:53,880
Speaker 1: can look at the national polls, many of them have

713
00:38:53,960 --> 00:38:56,520
Speaker 1: Trump up, but more importantly, I look at the state poles,

714
00:38:56,520 --> 00:38:59,399
Speaker 1: and Trump has a very significant lead in Iowa. Many

715
00:38:59,440 --> 00:39:02,319
Speaker 1: polls now showing him up in Colorado and Nevada. He's

716
00:39:02,360 --> 00:39:06,080
Speaker 1: winning in Florida aggregate poll numbers, Ohio aggregate poll numbers,

717
00:39:06,080 --> 00:39:10,000
Speaker 1: North Carolina the same thing, and within two points in Pennsylvania,

718
00:39:09,960 --> 00:39:12,440
Speaker 1: and within three of Michigan and Wisconsin. I mean, this

719
00:39:12,560 --> 00:39:15,040
Speaker 1: is if I'm Hillary and you've got to play defense

720
00:39:15,080 --> 00:39:17,759
Speaker 1: and states that should be very easy for you. And

721
00:39:17,760 --> 00:39:19,759
Speaker 1: Trump is winning all the states he's got to win.

722
00:39:19,800 --> 00:39:21,640
Speaker 1: That's a problem at this point for her. You know,

723
00:39:21,880 --> 00:39:24,279
Speaker 1: I talked to Joe Gaylord, who you know, who has

724
00:39:24,320 --> 00:39:27,720
Speaker 1: been working in Iowa politics since nineteen seventy. He said,

725
00:39:27,760 --> 00:39:31,560
Speaker 1: the collapse between the Obama Get out to Vote absentee

726
00:39:31,560 --> 00:39:35,200
Speaker 1: ballot campaign and Hillary is she getting one fifth the

727
00:39:35,200 --> 00:39:38,200
Speaker 1: absentee request. He got one out of every five. Now

728
00:39:38,280 --> 00:39:40,200
Speaker 1: this is gonna state where I think Trump's now up

729
00:39:40,239 --> 00:39:42,440
Speaker 1: six or eight points, and where you get Chuck Rasty

730
00:39:42,520 --> 00:39:44,800
Speaker 1: winning for re election the Senator, and we're going to

731
00:39:44,880 --> 00:39:47,719
Speaker 1: Branstead's son is winning the Trump campaign. For the Republicans

732
00:39:47,760 --> 00:39:50,000
Speaker 1: to be able to lock down Iowa would be a

733
00:39:50,160 --> 00:39:54,040
Speaker 1: really big breakthrough because it's the storm a lot in

734
00:39:54,080 --> 00:39:57,760
Speaker 1: the last seven presidential elections, and it's always been very close.

735
00:39:57,760 --> 00:39:59,480
Speaker 1: If we win this year is going to look like

736
00:39:59,480 --> 00:40:01,600
Speaker 1: we're building words a blowout in i I think it.

737
00:40:01,719 --> 00:40:04,160
Speaker 1: A very good friend and the former county commissioner in

738
00:40:04,160 --> 00:40:06,520
Speaker 1: Minnesota right me can tell me he thinks it's very

739
00:40:06,560 --> 00:40:09,600
Speaker 1: close in Minnesota. The Marquette University poll came out, I

740
00:40:09,600 --> 00:40:12,640
Speaker 1: think yesterday and said it was two point difference in Wisconsin.

741
00:40:12,800 --> 00:40:15,640
Speaker 1: I mean, these are the kind of numbers. Imagine you're

742
00:40:15,680 --> 00:40:18,000
Speaker 1: Hillary Clinton. You lost to Obama in oh eight and

743
00:40:18,000 --> 00:40:19,879
Speaker 1: you never got over and you always thought, how could

744
00:40:19,880 --> 00:40:22,520
Speaker 1: he do that to me? Didn't he was my turn? Um?

745
00:40:22,560 --> 00:40:24,879
Speaker 1: You and your husband have been plotting for your entire

746
00:40:25,040 --> 00:40:27,480
Speaker 1: lifetime to get to be president and you're watching it

747
00:40:27,600 --> 00:40:30,120
Speaker 1: slip away, and you're gonna go in the night against

748
00:40:30,200 --> 00:40:32,759
Speaker 1: the best debater in the country. Um, and you've been

749
00:40:32,840 --> 00:40:35,920
Speaker 1: over coached, over staffed, over prepared. Uh. I mean, it's

750
00:40:35,920 --> 00:40:37,720
Speaker 1: gonna be very the opening a few minutes ago interestant

751
00:40:37,760 --> 00:40:39,920
Speaker 1: to watch. My prediction is that she will be a

752
00:40:39,920 --> 00:40:42,759
Speaker 1: little brittle, and that that early on that Trump will

753
00:40:42,800 --> 00:40:45,080
Speaker 1: be tentative as he gets used to the rhythm because

754
00:40:45,080 --> 00:40:46,839
Speaker 1: he's never been on a one on one debate. Allow,

755
00:40:46,880 --> 00:40:49,080
Speaker 1: his debates involved many people. But I think that he'll

756
00:40:49,120 --> 00:40:51,200
Speaker 1: take you about fifteen or twenty minutes and then you'll

757
00:40:51,200 --> 00:40:54,279
Speaker 1: see him begin to really understand exactly how to play

758
00:40:54,320 --> 00:40:56,080
Speaker 1: the game. You know, it's very it's fascinating. You know,

759
00:40:56,160 --> 00:40:58,160
Speaker 1: you're one of the few people and I mean this

760
00:40:58,320 --> 00:41:00,600
Speaker 1: is the greatest compliment because I own you all of

761
00:41:00,640 --> 00:41:03,560
Speaker 1: these years. There is something that happens sometimes to a

762
00:41:03,600 --> 00:41:05,879
Speaker 1: lot of people that put themselves out there, and if

763
00:41:05,880 --> 00:41:08,480
Speaker 1: we're running for president and losing, I mean, you know,

764
00:41:08,600 --> 00:41:11,440
Speaker 1: I guess the poster child for this is probably Al Gore.

765
00:41:11,600 --> 00:41:14,480
Speaker 1: I'm not exactly sure what has happened to Mitt Romney.

766
00:41:14,280 --> 00:41:16,799
Speaker 1: I always liked Mint Romney. I still contest to this

767
00:41:16,880 --> 00:41:18,680
Speaker 1: day that he would have been a good president in

768
00:41:18,760 --> 00:41:22,239
Speaker 1: my opinion. But and then Hillary Clinton. I think you're right.

769
00:41:22,280 --> 00:41:25,120
Speaker 1: I don't think she ever got over the loss to Obama. Well,

770
00:41:25,160 --> 00:41:27,400
Speaker 1: you know, there to the two groups and there are people.

771
00:41:27,520 --> 00:41:29,719
Speaker 1: Bob will be a good example. There are people and

772
00:41:30,360 --> 00:41:33,040
Speaker 1: John McCain, the people who are honored to have been

773
00:41:33,080 --> 00:41:35,640
Speaker 1: given the chance. They didn't think the country owed in

774
00:41:35,760 --> 00:41:38,440
Speaker 1: the presidency. They were really humbled by being allowed to

775
00:41:38,480 --> 00:41:40,560
Speaker 1: be the nominee. And if they don't win, they go

776
00:41:40,560 --> 00:41:42,680
Speaker 1: on with their lives. And other people you mentioned, the

777
00:41:42,680 --> 00:41:45,640
Speaker 1: couple al Gore is a very good example. Hillary Clinton's

778
00:41:45,719 --> 00:41:48,719
Speaker 1: example who they were supposed to be president. I mean

779
00:41:48,880 --> 00:41:51,320
Speaker 1: this line you used last night we were together and

780
00:41:51,320 --> 00:41:53,799
Speaker 1: then by the way, you're really keeping worse hours because

781
00:41:53,840 --> 00:41:56,160
Speaker 1: we're gonna be together again. I think at midnight tonight

782
00:41:56,440 --> 00:41:59,120
Speaker 1: to midnight last night where Hillary is saying, why aren't

783
00:41:59,120 --> 00:42:01,279
Speaker 1: I ahead by fifty points? Man should think about it.

784
00:42:01,280 --> 00:42:06,360
Speaker 1: It's a nutty line. Why would anybody think? Can I

785
00:42:06,440 --> 00:42:08,360
Speaker 1: play it for you because I think I want you

786
00:42:08,440 --> 00:42:10,600
Speaker 1: to hear it, because I know you were on on

787
00:42:10,680 --> 00:42:12,719
Speaker 1: the bird wire on the satellite as we refer to

788
00:42:12,800 --> 00:42:15,480
Speaker 1: the Burden and TV Lingo. But let me play it

789
00:42:15,520 --> 00:42:18,600
Speaker 1: for you because I think you're gonna hear it differently.

790
00:42:18,680 --> 00:42:21,400
Speaker 1: But listen to this, and I will fight back against

791
00:42:21,480 --> 00:42:24,360
Speaker 1: so called right to work. Right to work is wrong

792
00:42:24,480 --> 00:42:27,839
Speaker 1: for workers. And wrong for America. Now, having said all this,

793
00:42:28,040 --> 00:42:30,920
Speaker 1: why aren't I fifty points ahead? You might ask, well,

794
00:42:31,000 --> 00:42:33,920
Speaker 1: the choice for working families has never been clearer. I

795
00:42:34,000 --> 00:42:38,000
Speaker 1: need your help to get Donald Trump's record out to everybody.

796
00:42:38,200 --> 00:42:42,320
Speaker 1: Nobody should be fool. He proudly declared himself one d

797
00:42:42,560 --> 00:42:45,760
Speaker 1: percent right to work. He even hired a union busting

798
00:42:45,840 --> 00:42:49,440
Speaker 1: firm to break up and organizing campaign at his hotel

799
00:42:49,480 --> 00:42:52,000
Speaker 1: in Las Vegas where you are right now, and he

800
00:42:52,200 --> 00:42:55,839
Speaker 1: built up his wealth. I stiff think small businesses and

801
00:42:56,040 --> 00:42:59,600
Speaker 1: contractors that goes against everything we stand for as a country.

802
00:43:00,200 --> 00:43:02,759
Speaker 1: Was a small business. I'm just businessman. I'm just happy

803
00:43:02,800 --> 00:43:05,520
Speaker 1: you never did business with Trump. You know, do you

804
00:43:05,560 --> 00:43:10,080
Speaker 1: hear the tone pits cadence when you there's something that right?

805
00:43:10,640 --> 00:43:13,200
Speaker 1: Last night, I deliterally went to a weird voice. I

806
00:43:14,200 --> 00:43:17,160
Speaker 1: was trying to make a point about how many this is.

807
00:43:17,239 --> 00:43:19,320
Speaker 1: I mean, here's the first first of all, when you

808
00:43:19,400 --> 00:43:21,560
Speaker 1: play the whole thing, which is even more painful. This

809
00:43:21,680 --> 00:43:24,440
Speaker 1: is for some reason on best particular speech, she is

810
00:43:24,480 --> 00:43:27,000
Speaker 1: in the kind of a rant where it's painful to

811
00:43:27,080 --> 00:43:29,920
Speaker 1: listen to. A good friend of mine was on the

812
00:43:29,960 --> 00:43:33,160
Speaker 1: debate today and saying why he thought probably Trump would win. Uh,

813
00:43:33,239 --> 00:43:35,800
Speaker 1: And he said, it's a little bit like the really

814
00:43:35,840 --> 00:43:38,040
Speaker 1: clever senior who loses a little bit too much of

815
00:43:38,080 --> 00:43:41,640
Speaker 1: a smart alec versus the really hostile teacher you never liked.

816
00:43:42,000 --> 00:43:43,799
Speaker 1: And you know, he said, so people don't tune end.

817
00:43:43,800 --> 00:43:45,800
Speaker 1: And Trump is a little bit much sometimes and he

818
00:43:45,800 --> 00:43:47,799
Speaker 1: gets full of himself. But he's fun. I mean, he's

819
00:43:47,840 --> 00:43:50,399
Speaker 1: he's a lie. He modulation, he goes up and down.

820
00:43:50,520 --> 00:43:53,680
Speaker 1: She has this permanent hostility. A friend of mine described

821
00:43:53,760 --> 00:43:55,920
Speaker 1: as being joyless. But there's there's no way if you

822
00:43:55,960 --> 00:43:58,960
Speaker 1: watch a Hillary Clinton performance, there's no joy, there's no

823
00:43:59,040 --> 00:44:02,520
Speaker 1: sense of how of loving life. There knows that she's

824
00:44:02,560 --> 00:44:04,840
Speaker 1: working and she's going to get there. And if that

825
00:44:04,880 --> 00:44:07,319
Speaker 1: means she's got to do eleven extra term papers, she's

826
00:44:07,320 --> 00:44:09,840
Speaker 1: going to do eleven extra term papers because she's gonna

827
00:44:09,880 --> 00:44:11,879
Speaker 1: grind it out no matter what. Well, in the real

828
00:44:11,920 --> 00:44:13,680
Speaker 1: world it didn't quite work that way. I mean, for

829
00:44:13,760 --> 00:44:15,800
Speaker 1: st all, people don't read your term papers. Well, I

830
00:44:15,920 --> 00:44:18,279
Speaker 1: I all think I think that's all true. I am.

831
00:44:18,920 --> 00:44:22,040
Speaker 1: I just am relating this that something is off and

832
00:44:22,080 --> 00:44:24,120
Speaker 1: I don't know if it's a health issue. And people

833
00:44:24,120 --> 00:44:26,720
Speaker 1: are gonna say Hannity there you go with your conspiracies again.

834
00:44:26,760 --> 00:44:29,359
Speaker 1: But I watched that over and over again, and I

835
00:44:29,440 --> 00:44:31,359
Speaker 1: listened to that over and over again, and I've I've

836
00:44:31,360 --> 00:44:33,560
Speaker 1: studied this woman for years. I think I have a

837
00:44:33,600 --> 00:44:35,920
Speaker 1: pretty good understanding of who she is. And then I

838
00:44:35,960 --> 00:44:37,840
Speaker 1: compare it to some of the other videos, one of

839
00:44:37,840 --> 00:44:40,840
Speaker 1: her collapsing. We know she testified she couldn't even remember

840
00:44:40,880 --> 00:44:43,200
Speaker 1: being brief and I'm just I think something's wrong. You

841
00:44:43,200 --> 00:44:47,279
Speaker 1: think that's a possibility, but there may be something wrong.

842
00:44:47,320 --> 00:44:49,200
Speaker 1: But the other side of that is she is under

843
00:44:49,520 --> 00:44:53,560
Speaker 1: enormous pressure. Remember Donald Trump had never run for anything

844
00:44:53,600 --> 00:44:55,600
Speaker 1: before the fact that he's already come as far as

845
00:44:55,640 --> 00:44:58,560
Speaker 1: such an enormous historic achievement that he's well, well, he's

846
00:44:58,640 --> 00:45:00,920
Speaker 1: under I think some performance and xiety because you know,

847
00:45:00,960 --> 00:45:03,120
Speaker 1: you're gonna have the largest audience in history of politics.

848
00:45:03,160 --> 00:45:05,000
Speaker 1: It's gonna be over a hundred million people. You ought

849
00:45:05,000 --> 00:45:06,799
Speaker 1: to have a little bit of extra adrenaline or something

850
00:45:06,800 --> 00:45:08,880
Speaker 1: like that. But he doesn't have a giant downside. And

851
00:45:09,000 --> 00:45:10,759
Speaker 1: the worst will happen is he'll go back to be

852
00:45:10,800 --> 00:45:13,480
Speaker 1: a happy billionaire with kids and grandkids and you know,

853
00:45:13,719 --> 00:45:16,600
Speaker 1: lots of good things. Calary has spent her entire lifetime

854
00:45:16,719 --> 00:45:20,440
Speaker 1: defining herself as the person who's gonna witness and he has.

855
00:45:20,520 --> 00:45:22,080
Speaker 1: I mean, she's at the edge of a clip. She's

856
00:45:22,120 --> 00:45:25,400
Speaker 1: looking straight down into an abyss that you and I

857
00:45:25,480 --> 00:45:28,800
Speaker 1: can't imagine because neither of us have ever wanted anything

858
00:45:28,880 --> 00:45:31,000
Speaker 1: as badly as she wants this. All right, I gotta

859
00:45:31,080 --> 00:45:34,200
Speaker 1: run great analysis. All right, we're on at midnight after

860
00:45:34,239 --> 00:45:36,400
Speaker 1: the debate, and Mr Speaker, we really look forward to

861
00:45:36,400 --> 00:45:38,239
Speaker 1: you joining us. Then it's it's gonna be one of

862
00:45:38,239 --> 00:45:41,839
Speaker 1: the more fascinating presidential debates. This is a historic night

863
00:45:41,880 --> 00:45:44,600
Speaker 1: by any interpretation. That's how I look at it, and

864
00:45:44,640 --> 00:45:46,640
Speaker 1: it's gonna be fun to watch. All right, Thank you, sir.

865
00:45:46,800 --> 00:45:51,120
Speaker 1: In a congressional hearing on July seven, Director call me

866
00:45:51,480 --> 00:45:55,440
Speaker 1: directly contradicted what you had told the public. I had

867
00:45:56,840 --> 00:46:02,560
Speaker 1: not sent classified material nor received anything mark classified. Sector

868
00:46:02,640 --> 00:46:05,480
Speaker 1: Clinton said she never sent or received any classified information

869
00:46:05,520 --> 00:46:08,880
Speaker 1: over her private email. Was that true? Our investigation found

870
00:46:08,920 --> 00:46:10,880
Speaker 1: that there was class of information sent, so it was

871
00:46:10,920 --> 00:46:13,960
Speaker 1: not true. And I am confident that I never sent

872
00:46:14,080 --> 00:46:17,000
Speaker 1: nor received any information that was classified at the time

873
00:46:17,000 --> 00:46:19,560
Speaker 1: it was sent and received. Sector Clinton said there was

874
00:46:19,600 --> 00:46:22,120
Speaker 1: nothing mark class of aud on her emails either sent

875
00:46:22,280 --> 00:46:25,279
Speaker 1: or received. Was that true. That's not true. There were

876
00:46:25,280 --> 00:46:28,239
Speaker 1: a small number of portion markings on I think three

877
00:46:28,280 --> 00:46:33,400
Speaker 1: of the documents. I never sent um classified material on

878
00:46:33,480 --> 00:46:38,000
Speaker 1: my email, and I never received any that was mark classified.

879
00:46:38,080 --> 00:46:41,200
Speaker 1: Sector Clinton said, I did not email any classified material

880
00:46:41,280 --> 00:46:44,280
Speaker 1: to anyone on my email. There is no classified material.

881
00:46:44,440 --> 00:46:48,520
Speaker 1: Was that true? There was classified material emailed. People across

882
00:46:48,560 --> 00:46:51,480
Speaker 1: the government knew that I used one device. Maybe it

883
00:46:51,560 --> 00:46:55,440
Speaker 1: was because I am not the most technically capable person

884
00:46:55,600 --> 00:46:58,640
Speaker 1: and wanted to make it as easy as possible. CHEARTR.

885
00:46:58,719 --> 00:47:01,800
Speaker 1: Clinton said, you used just one device? Was that true?

886
00:47:02,480 --> 00:47:06,160
Speaker 1: She used multiple devices during the four years of her

887
00:47:06,400 --> 00:47:09,800
Speaker 1: term as Secretary of State. But we turned over everything

888
00:47:09,960 --> 00:47:14,560
Speaker 1: that was work related, every single thing personal stuff. We

889
00:47:14,640 --> 00:47:17,359
Speaker 1: did not. I had no obligation to do so and

890
00:47:17,400 --> 00:47:20,839
Speaker 1: did not. Sector Clinton said all work related emails were

891
00:47:20,880 --> 00:47:24,080
Speaker 1: returned to the State Department. Was that true. No, we

892
00:47:24,160 --> 00:47:27,879
Speaker 1: found work related emails thousands that were not returned. All

893
00:47:27,880 --> 00:47:30,640
Speaker 1: I can tell you is that when my attorneys conducted

894
00:47:30,640 --> 00:47:34,680
Speaker 1: this exhaustive process, I did not participate. Tertr Clinton said

895
00:47:34,719 --> 00:47:37,960
Speaker 1: her lawyers read every one of the emails and were

896
00:47:38,080 --> 00:47:42,959
Speaker 1: overly inclusive. Did her lawyers read the email content individually.

897
00:47:43,280 --> 00:47:46,360
Speaker 1: Now he directly contradicted with Well, let me just suggest

898
00:47:46,360 --> 00:47:48,960
Speaker 1: that he not only directly contradicted what you said, he

899
00:47:49,040 --> 00:47:52,600
Speaker 1: also said in that hearing that you were extremely careless

900
00:47:52,960 --> 00:47:56,879
Speaker 1: and negligent. Well, Chris, I looked at the whole transcript

901
00:47:56,920 --> 00:48:00,320
Speaker 1: of everything that was said, and what I believe is

902
00:48:00,440 --> 00:48:03,720
Speaker 1: number one, I made a mistake not using two different

903
00:48:04,239 --> 00:48:08,400
Speaker 1: email addresses. I have said that, and I repeat it

904
00:48:08,480 --> 00:48:12,120
Speaker 1: again today. It is certainly not anything that I ever

905
00:48:12,320 --> 00:48:17,200
Speaker 1: would do again. I take classification seriously. I relied on,

906
00:48:17,440 --> 00:48:21,000
Speaker 1: and had every reason to rely on the judgments of

907
00:48:21,040 --> 00:48:25,280
Speaker 1: the professionals with whom I worked. I certainly do remember

908
00:48:25,320 --> 00:48:30,279
Speaker 1: that trip uh to Bosnia, and I remember landing under

909
00:48:30,320 --> 00:48:33,200
Speaker 1: sniper fire. There was supposed to be some kind of

910
00:48:33,239 --> 00:48:35,920
Speaker 1: a greeting ceremony at the airport, but instead we just

911
00:48:36,040 --> 00:48:38,480
Speaker 1: ran with our heads down to get into the vehicles

912
00:48:39,239 --> 00:48:42,759
Speaker 1: to get to our base. All Right. Hillary Clinton now

913
00:48:42,880 --> 00:48:46,759
Speaker 1: has brought truth and voracity as an issue in the campaign,

914
00:48:46,880 --> 00:48:50,359
Speaker 1: just a few of the many examples where she has

915
00:48:50,400 --> 00:48:53,640
Speaker 1: not told the truth, and there she's being contradicted by

916
00:48:53,680 --> 00:48:56,799
Speaker 1: the FBI Director James Comey, even though he decided not

917
00:48:56,920 --> 00:48:59,919
Speaker 1: to move forward with a criminal referral. In this case,

918
00:49:00,520 --> 00:49:03,680
Speaker 1: one of the big issues has to do with intelligence,

919
00:49:04,080 --> 00:49:06,839
Speaker 1: whether or not we will vet refugees, whether or not

920
00:49:06,920 --> 00:49:11,719
Speaker 1: we need to rebuild our failing military. UM. I personally

921
00:49:11,760 --> 00:49:14,719
Speaker 1: believe that we ought to have extreme vetting of refugees,

922
00:49:14,800 --> 00:49:18,960
Speaker 1: especially because I listened to people like James Clapper and

923
00:49:19,080 --> 00:49:23,720
Speaker 1: James Comey and Michael Steinbeck and our CIA director John Brennan,

924
00:49:24,160 --> 00:49:27,399
Speaker 1: and people like Mike McCall House Homeland Security Committee Chair,

925
00:49:27,480 --> 00:49:31,920
Speaker 1: and people like former Special Envoy to defeat defeat ISIS,

926
00:49:32,000 --> 00:49:34,680
Speaker 1: General John Allen, And they've all warned that ISIS will

927
00:49:34,719 --> 00:49:39,279
Speaker 1: infiltrate this population. I take them seriously. Anyway. Somebody that

928
00:49:39,360 --> 00:49:41,520
Speaker 1: probably knows more than we could ever hope to know

929
00:49:41,600 --> 00:49:45,520
Speaker 1: in any lifetime about intelligence and the need for it

930
00:49:45,600 --> 00:49:49,279
Speaker 1: is the former director of the Central Intelligence Agency and

931
00:49:49,360 --> 00:49:53,920
Speaker 1: the President Bill Clinton. James Wolsey is with us. Mr Woolsey, Sir,

932
00:49:54,000 --> 00:49:55,680
Speaker 1: how are you glad you all could be with us?

933
00:49:58,120 --> 00:50:02,200
Speaker 1: Mr Wolsey? Are you there? Yes? How are you welcome

934
00:50:02,239 --> 00:50:04,880
Speaker 1: to the program? Service? All right, I'm going to the

935
00:50:04,920 --> 00:50:09,200
Speaker 1: debate tonight and my uh, the driver that's television station

936
00:50:09,280 --> 00:50:12,880
Speaker 1: provided and I have been wandering around Long Island for

937
00:50:12,960 --> 00:50:18,440
Speaker 1: over two hours and everything is blocked by every imaginable

938
00:50:18,480 --> 00:50:21,399
Speaker 1: law enforcement agency. Well, don't they know who you are?

939
00:50:21,440 --> 00:50:24,040
Speaker 1: You are the former director of the CIA that might

940
00:50:24,080 --> 00:50:27,719
Speaker 1: have a little cloud. You know, us not worth a

941
00:50:27,840 --> 00:50:32,080
Speaker 1: damn thing, but you know, um well, maybe I could

942
00:50:32,080 --> 00:50:35,040
Speaker 1: help you if you like, if after the call, I'll

943
00:50:35,080 --> 00:50:38,840
Speaker 1: give you some information. But uh, it is very difficult. Obviously,

944
00:50:39,000 --> 00:50:41,160
Speaker 1: this is a big security day in Long Island, and

945
00:50:41,200 --> 00:50:43,600
Speaker 1: I know it's very tough to get around. Are you

946
00:50:43,640 --> 00:50:48,400
Speaker 1: on Hempstead Turnpike yet? I think we just passed Himpsted

947
00:50:48,440 --> 00:50:53,720
Speaker 1: Turnpike for like two eleventh or maybe fourteenth time. Yeah, okay,

948
00:50:53,840 --> 00:50:58,560
Speaker 1: I got it. Uh that's pretty funny. Uh well listen,

949
00:50:58,640 --> 00:51:01,000
Speaker 1: let me ask you this. You you who actually said this?

950
00:51:01,160 --> 00:51:04,880
Speaker 1: You said quote, I'm a Scoop Jackson Joe Lieberman Democrat.

951
00:51:04,960 --> 00:51:07,640
Speaker 1: I have been my entire life. Um pleased to be

952
00:51:07,640 --> 00:51:11,480
Speaker 1: asked to participate with others in advising GOP candidate Donald

953
00:51:11,480 --> 00:51:15,399
Speaker 1: Trump on the urgent need to reinvest and modernize our

954
00:51:15,400 --> 00:51:17,839
Speaker 1: military in order to confront the challenges of the twenty

955
00:51:17,920 --> 00:51:21,840
Speaker 1: first century. Um, you said, Trump's commitment to reversing the

956
00:51:21,920 --> 00:51:25,920
Speaker 1: harmful defense cuts signed into law by the current administration,

957
00:51:25,960 --> 00:51:29,080
Speaker 1: while acknowledging the need for budget and debt reduction is

958
00:51:29,120 --> 00:51:33,440
Speaker 1: an essential step towards reinstating the United States UH in

959
00:51:33,520 --> 00:51:37,600
Speaker 1: its primary position in the conventional and digital battle space. Now,

960
00:51:37,640 --> 00:51:40,480
Speaker 1: you served as Bill Clinton's first CIA director from ninety

961
00:51:40,520 --> 00:51:44,120
Speaker 1: three to ninety five. Correct, why are you supporting Donald Trump? Well,

962
00:51:44,160 --> 00:51:49,000
Speaker 1: I've worked for and had presidential appointments from two Democrats

963
00:51:49,000 --> 00:51:53,800
Speaker 1: and two Republicans, from Clinton and Carter and from Reagan

964
00:51:54,040 --> 00:51:58,640
Speaker 1: and uh h W. Bush. I don't look on the

965
00:51:58,680 --> 00:52:03,480
Speaker 1: security of the country as first and foremost a party matter. Indeed, Uh,

966
00:52:03,719 --> 00:52:06,680
Speaker 1: if I cared that much about party affairs, I wouldn't

967
00:52:06,719 --> 00:52:12,280
Speaker 1: be a Scoop Jackson, certainly not enough to form a party. Um.

968
00:52:12,320 --> 00:52:16,080
Speaker 1: But I so, I I really don't consider the party.

969
00:52:16,200 --> 00:52:19,080
Speaker 1: I I look at people and and the needs of

970
00:52:19,120 --> 00:52:23,080
Speaker 1: the country and uh and uh. I've only actually worked

971
00:52:23,080 --> 00:52:27,040
Speaker 1: in two political campaigns in my life before that. Yeah. Well,

972
00:52:27,080 --> 00:52:29,319
Speaker 1: you know it's fascinating to me because I agree with

973
00:52:29,320 --> 00:52:33,200
Speaker 1: your assessment about our military. Don't you think when James Clapper,

974
00:52:33,280 --> 00:52:36,920
Speaker 1: the Director of National Intelligence, the FBI director, called me

975
00:52:37,080 --> 00:52:41,719
Speaker 1: the assistant FBI director Steinbeck, the CIA director, Brennan, the

976
00:52:41,760 --> 00:52:45,960
Speaker 1: House Homeland Security Committee Chair McCall, the former special envoid

977
00:52:45,960 --> 00:52:48,799
Speaker 1: to defeat ISIS. When they all say that ISIS and

978
00:52:48,880 --> 00:52:52,600
Speaker 1: other groups are likely to infiltrate the refugee population, Isn't

979
00:52:52,640 --> 00:52:56,160
Speaker 1: that a dire warning to the American people? I think

980
00:52:56,160 --> 00:53:00,879
Speaker 1: it should be considered such. Absolutely. Uh it's a um

981
00:53:01,040 --> 00:53:05,880
Speaker 1: a very serious situation because uh a lot of the

982
00:53:07,360 --> 00:53:11,920
Speaker 1: terrorists are coming from Assyria, and uh the poor Syrian

983
00:53:11,960 --> 00:53:17,279
Speaker 1: people have been so murdered and killed by Assad and

984
00:53:17,360 --> 00:53:20,560
Speaker 1: now to some extent by Russians and certainly by Iranians

985
00:53:21,280 --> 00:53:26,839
Speaker 1: that there's uh it's a desperate situation there. What one

986
00:53:27,239 --> 00:53:32,640
Speaker 1: wants to help the people, particularly who are are have

987
00:53:32,760 --> 00:53:36,080
Speaker 1: been so oppressed. But uh, we've got to be careful

988
00:53:36,160 --> 00:53:39,759
Speaker 1: who we uh admit to the country. And uh that's

989
00:53:39,760 --> 00:53:44,879
Speaker 1: a hard part of the world to do uh assessments.

990
00:53:45,080 --> 00:53:50,680
Speaker 1: Uh and in because you can probably buy a passport

991
00:53:50,800 --> 00:53:54,399
Speaker 1: for a few dollars, and much of Syria, etcetera, it's uh,

992
00:53:54,520 --> 00:53:58,640
Speaker 1: it's just very difficult to get to get to Uh. Well,

993
00:53:58,680 --> 00:54:00,920
Speaker 1: we actually know that that's a act. I mean because

994
00:54:00,960 --> 00:54:04,040
Speaker 1: we actually have discovered that they're they're printing passports and

995
00:54:04,200 --> 00:54:08,120
Speaker 1: selling them that cheap. Isn't there isn't there another alternative?

996
00:54:08,120 --> 00:54:09,880
Speaker 1: And this is what Trump has proposed. You know, a

997
00:54:09,920 --> 00:54:14,000
Speaker 1: safe zone, say so in the where militarily a let's say,

998
00:54:14,000 --> 00:54:17,239
Speaker 1: a coalition of nations can defend the area. We could

999
00:54:17,239 --> 00:54:23,359
Speaker 1: provide food, water, medicine, supplies, baby formula, blankets, cots, all

1000
00:54:23,360 --> 00:54:26,000
Speaker 1: the necessities that the people would need until the civil

1001
00:54:26,040 --> 00:54:27,840
Speaker 1: war is over and they can safely go back to

1002
00:54:27,880 --> 00:54:31,520
Speaker 1: their homes. I think that's right, makes a lot of sense. Uh,

1003
00:54:31,600 --> 00:54:35,160
Speaker 1: it's uh not gonna would not be easy to organize

1004
00:54:35,200 --> 00:54:39,600
Speaker 1: with the Russians and the Iranians playing the games they're

1005
00:54:39,640 --> 00:54:44,960
Speaker 1: playing now. But it's uh, it's a very sound idea.

1006
00:54:45,200 --> 00:54:48,360
Speaker 1: It's it's a good policy. Um, we would probably have

1007
00:54:48,520 --> 00:54:51,800
Speaker 1: to to modify it quite a bit if we wanted

1008
00:54:51,800 --> 00:54:55,360
Speaker 1: it to be effective, but it's uh, it's it's sounded

1009
00:54:55,360 --> 00:54:59,040
Speaker 1: reasonable proposals for a president of Canada, Mr Wolsey. The

1010
00:54:59,120 --> 00:55:03,160
Speaker 1: nine eleven Mission reports said they meaning radical as Lamas

1011
00:55:03,160 --> 00:55:04,840
Speaker 1: were at war with us and we were not at

1012
00:55:04,880 --> 00:55:09,000
Speaker 1: war with them. And they specifically cited examples the bombings

1013
00:55:09,000 --> 00:55:14,040
Speaker 1: that at the the compounds and Kenya, Tanzania. They cited

1014
00:55:14,040 --> 00:55:16,360
Speaker 1: the US has called the first Trade Center bombing, and

1015
00:55:16,360 --> 00:55:18,200
Speaker 1: then we didn't pay attention to any of these things

1016
00:55:18,280 --> 00:55:20,160
Speaker 1: leading up to nine eleven. Are we going to have

1017
00:55:20,280 --> 00:55:23,759
Speaker 1: another nine eleven style event in America? And then are

1018
00:55:23,800 --> 00:55:26,480
Speaker 1: we gonna look to events that had happened in Europe,

1019
00:55:26,560 --> 00:55:30,200
Speaker 1: in Belgium, in in Paris and in Germany. Are we

1020
00:55:30,239 --> 00:55:33,960
Speaker 1: gonna look at what happened in Orlando, in San Bernardino

1021
00:55:34,120 --> 00:55:36,640
Speaker 1: and Chattanooga, in New York and New Jersey, and we're

1022
00:55:36,640 --> 00:55:39,399
Speaker 1: gonna say we should have paid attention to these things. Sure,

1023
00:55:39,760 --> 00:55:44,240
Speaker 1: and unless we are very very lucky, will have something

1024
00:55:44,320 --> 00:55:48,080
Speaker 1: and it will be uh uh at uh and uh.

1025
00:55:48,600 --> 00:55:53,000
Speaker 1: But this is not easy to stop in an open society.

1026
00:55:53,320 --> 00:55:57,279
Speaker 1: It's like playing a lethal form of hockey in which

1027
00:55:57,600 --> 00:55:59,879
Speaker 1: if one and you're the goalie, and if one shot

1028
00:56:00,160 --> 00:56:05,960
Speaker 1: gets through, um, everything goes so um. It's it's it's

1029
00:56:06,280 --> 00:56:10,759
Speaker 1: really tough. And Mark goes out to the people who

1030
00:56:10,840 --> 00:56:14,120
Speaker 1: have the uh, the job of sorting through that. What

1031
00:56:14,520 --> 00:56:19,880
Speaker 1: what I think one has to do is collapse them

1032
00:56:19,920 --> 00:56:23,439
Speaker 1: into despair. They have to believe that what they're doing

1033
00:56:23,880 --> 00:56:26,200
Speaker 1: is failing. And so we have to go at them

1034
00:56:26,280 --> 00:56:29,520
Speaker 1: twice in two areas. One is here and we probably

1035
00:56:29,600 --> 00:56:32,120
Speaker 1: have to change our policing methods to make them much

1036
00:56:32,160 --> 00:56:35,080
Speaker 1: more like what Giuliani and Kelly did with the broken

1037
00:56:35,120 --> 00:56:38,880
Speaker 1: Windows approach into New York, but adapt that um to

1038
00:56:40,160 --> 00:56:44,000
Speaker 1: terrorists and potential terrorists. Um. We Uh we can use

1039
00:56:44,120 --> 00:56:50,200
Speaker 1: modern data techniques UH metadata to UH sort crew and

1040
00:56:50,960 --> 00:56:54,719
Speaker 1: pay attention to the characteristics and backgrounds of people. When

1041
00:56:54,800 --> 00:57:00,120
Speaker 1: somebody has gone on several trips to Afghanistan, Uh, they

1042
00:57:00,200 --> 00:57:03,239
Speaker 1: probably should be looked at for a very special attention,

1043
00:57:03,600 --> 00:57:09,319
Speaker 1: doesn't Meanganistan, Saudi Arabia, Pakistan, Iraq, Syria, Yeah, a lot.

1044
00:57:09,640 --> 00:57:13,359
Speaker 1: Uh it's uh. But and then the data I mean

1045
00:57:15,000 --> 00:57:19,960
Speaker 1: today Google uh probably knows more about you and me

1046
00:57:20,240 --> 00:57:23,880
Speaker 1: and your listeners. Uh. Certainly they know more than, say,

1047
00:57:24,000 --> 00:57:28,600
Speaker 1: does the US government because they've got huge data capabilities.

1048
00:57:28,640 --> 00:57:31,680
Speaker 1: They can tell what you bought, where you traveled, et cetera.

1049
00:57:31,840 --> 00:57:38,240
Speaker 1: Things through a sapient and other companies that have access

1050
00:57:38,360 --> 00:57:41,280
Speaker 1: not to secret data. This is all publicly available, but

1051
00:57:41,360 --> 00:57:44,960
Speaker 1: there's met so many such huge deposits of it. Uh.

1052
00:57:45,280 --> 00:57:51,200
Speaker 1: It can help police keep track of potential Well, let

1053
00:57:51,240 --> 00:57:53,240
Speaker 1: me ask you this, if in a reasonable way, if

1054
00:57:53,280 --> 00:57:55,200
Speaker 1: we don't listen to come and all these people that

1055
00:57:55,480 --> 00:57:58,440
Speaker 1: that keep warning US ices can infiltrate, and Hillary Clinton

1056
00:57:58,480 --> 00:58:01,920
Speaker 1: wants a fifty percent increase and refugees. Am I right

1057
00:58:02,000 --> 00:58:04,560
Speaker 1: in my assessment that she's willing to gamble with the

1058
00:58:04,640 --> 00:58:08,000
Speaker 1: lives of the American people. Well, I think that would

1059
00:58:08,120 --> 00:58:12,120
Speaker 1: definitely be the case unless she has some approach toward

1060
00:58:12,520 --> 00:58:16,640
Speaker 1: a vetting that is better than anybody has invented so far,

1061
00:58:17,040 --> 00:58:20,560
Speaker 1: particularly for that part of the world. UM and I

1062
00:58:21,000 --> 00:58:26,800
Speaker 1: think that it's a irresponsibly large given the limitations and

1063
00:58:26,920 --> 00:58:32,440
Speaker 1: numbers of our federal government of forces and organizations that

1064
00:58:32,560 --> 00:58:36,040
Speaker 1: are responsible for searching this sort of thing, that's pretty scary.

1065
00:58:36,760 --> 00:58:39,000
Speaker 1: Would you ever go back into government? Would you ever

1066
00:58:39,080 --> 00:58:41,840
Speaker 1: consider going back to the CIA or any of those positions.

1067
00:58:42,480 --> 00:58:47,160
Speaker 1: I have had a fascinating career and in and out

1068
00:58:47,240 --> 00:58:50,440
Speaker 1: of government private lawyer and then consultants and working on

1069
00:58:50,600 --> 00:58:55,320
Speaker 1: energy issues and which I'm fascinated by now U and

1070
00:58:55,400 --> 00:58:57,520
Speaker 1: been in the government for twelve years, working in four

1071
00:58:57,600 --> 00:59:01,520
Speaker 1: different administrations. I said, I, I think I'm delighted to

1072
00:59:01,640 --> 00:59:05,040
Speaker 1: let that sit as uh as somebody wants my advice,

1073
00:59:05,360 --> 00:59:10,880
Speaker 1: and there as Donald Trump does asked me to advising

1074
00:59:11,520 --> 00:59:15,640
Speaker 1: UM and UH with the outcome of his succeeding would

1075
00:59:15,680 --> 00:59:17,960
Speaker 1: be better than the outcome of his opponent, and I

1076
00:59:18,040 --> 00:59:21,600
Speaker 1: think it definitely wouldn't be better. UM, I'll be glad

1077
00:59:21,680 --> 00:59:27,800
Speaker 1: to help. All right. Uh well, former CEI director Wolves,

1078
00:59:27,840 --> 00:59:30,080
Speaker 1: I hope you can get to the debate. Do you

1079
00:59:30,160 --> 00:59:32,040
Speaker 1: have four a little over four hours to go? So

1080
00:59:32,160 --> 00:59:35,640
Speaker 1: we wish all the best. I'm sorry, I'm sorry about

1081
00:59:35,680 --> 00:59:38,640
Speaker 1: the inconvenience in my in my home county by the way,

1082
00:59:38,680 --> 00:59:41,480
Speaker 1: the second highest property tax county in the country. But

1083
00:59:41,560 --> 00:59:43,800
Speaker 1: welcome aboard, sir, and we'll see you tonight. Thanks all

1084
00:59:44,760 --> 00:59:47,320
Speaker 1: alright eight one Sean, when we come back a little

1085
00:59:47,360 --> 00:59:49,960
Speaker 1: over four hours now to the first presidential debate, we've

1086
00:59:50,000 --> 00:59:52,960
Speaker 1: got the best election coverage continuing Ryank's previous who has

1087
00:59:53,000 --> 00:59:56,280
Speaker 1: been part of Donald Trump's preparation, he'll join us coming

1088
00:59:56,360 --> 00:59:59,560
Speaker 1: up next. Look, people who agreed to support the nominee

1089
00:59:59,600 --> 01:00:03,160
Speaker 1: that took part in our process, they used tools from

1090
01:00:03,200 --> 01:00:05,680
Speaker 1: the r n C. They agreed to support the nominee

1091
01:00:05,720 --> 01:00:08,040
Speaker 1: that took partner our process. Where a private party, we're

1092
01:00:08,040 --> 01:00:11,280
Speaker 1: not a public entity. Um, those people need to get

1093
01:00:11,320 --> 01:00:14,720
Speaker 1: on board. Um. And if they're thinking they're gonna run

1094
01:00:14,760 --> 01:00:17,560
Speaker 1: again someday, you know, I think that we're going to

1095
01:00:17,880 --> 01:00:20,880
Speaker 1: evaluate the process of the nomination process, and I don't

1096
01:00:20,880 --> 01:00:22,400
Speaker 1: think it's going to be that easy for him. It

1097
01:00:22,520 --> 01:00:26,520
Speaker 1: would the party itself penalize somebody who does not make

1098
01:00:26,560 --> 01:00:28,480
Speaker 1: good on the pledge that they made to support the party.

1099
01:00:28,480 --> 01:00:30,560
Speaker 1: I think these are things that our party is going

1100
01:00:30,640 --> 01:00:33,080
Speaker 1: to look at in the process, and I think that

1101
01:00:33,560 --> 01:00:37,360
Speaker 1: people who gave us their word used information from the

1102
01:00:37,520 --> 01:00:39,560
Speaker 1: r n C should be on board. I mean a

1103
01:00:39,680 --> 01:00:42,520
Speaker 1: partner process. Sure. Governor John Kasick, So if he wants

1104
01:00:42,560 --> 01:00:44,080
Speaker 1: to run again, clips seems think he might want to,

1105
01:00:44,360 --> 01:00:45,680
Speaker 1: he might be out of lock as far as the

1106
01:00:45,760 --> 01:00:48,920
Speaker 1: RNC goes. Well, look at people are in our party

1107
01:00:49,120 --> 01:00:51,320
Speaker 1: are talking about what we're going to do about this.

1108
01:00:51,480 --> 01:00:53,880
Speaker 1: I mean, there's a ballot access issue in South Carolina.

1109
01:00:53,960 --> 01:00:55,720
Speaker 1: In order to be on the ballot in South Carolina,

1110
01:00:55,800 --> 01:00:58,120
Speaker 1: you actually have to pledge your support to the nominee,

1111
01:00:58,160 --> 01:01:00,560
Speaker 1: no matter who that person is. So what's the penalty

1112
01:01:00,640 --> 01:01:03,000
Speaker 1: for that. It's not a threat, It's just a question

1113
01:01:03,160 --> 01:01:06,400
Speaker 1: that we have a process in place, and if a

1114
01:01:06,560 --> 01:01:09,800
Speaker 1: private entity puts forward a process and has agreement with

1115
01:01:09,880 --> 01:01:14,120
Speaker 1: the participants in that process, and those participants don't follow

1116
01:01:14,200 --> 01:01:16,880
Speaker 1: through with the promises that they made in that process.

1117
01:01:17,080 --> 01:01:19,400
Speaker 1: What what should a private party do about that if

1118
01:01:19,480 --> 01:01:23,360
Speaker 1: those same people come around in four eight years? All Right,

1119
01:01:23,400 --> 01:01:26,240
Speaker 1: News round up, Information Overload hour here on the Sean

1120
01:01:26,280 --> 01:01:29,040
Speaker 1: Hannity Show, now less than four hours to the night's

1121
01:01:29,080 --> 01:01:33,000
Speaker 1: big debate, Hoffster University, Hympstead, Long Island, New York. And

1122
01:01:33,160 --> 01:01:35,720
Speaker 1: that was Ryan's previous who has been involved in some

1123
01:01:35,880 --> 01:01:38,880
Speaker 1: of the preparation for Donald Trump leading into tonight's debate.

1124
01:01:39,600 --> 01:01:42,680
Speaker 1: That was him talking about other presidential candidates that have

1125
01:01:42,800 --> 01:01:46,160
Speaker 1: refused to honor their pledge and support the nominee or

1126
01:01:46,200 --> 01:01:49,920
Speaker 1: the eventual nominee which became Donald Trump, among them Jeb Bush,

1127
01:01:50,040 --> 01:01:53,320
Speaker 1: Lindsay Graham, and John Kasik. And as everybody knows, Ted

1128
01:01:53,400 --> 01:01:56,520
Speaker 1: Cruz gave a strong endorsement to Donald Trump on Friday.

1129
01:01:57,240 --> 01:01:59,840
Speaker 1: He's the chairman of the Republican National Committee. How are you, sir,

1130
01:02:00,320 --> 01:02:03,880
Speaker 1: Stay doing great and feeling good? Sean? Yeah, alright, Well,

1131
01:02:03,960 --> 01:02:05,920
Speaker 1: first let's talk about the pledge. I mean, they all

1132
01:02:06,000 --> 01:02:08,640
Speaker 1: signed it, they all agreed to it, they all got

1133
01:02:08,880 --> 01:02:13,160
Speaker 1: benefits because they signed the agreement, correct, Yeah, I mean

1134
01:02:13,280 --> 01:02:17,040
Speaker 1: there is three different agreements. There was the Data Exchange Agreement.

1135
01:02:17,160 --> 01:02:20,680
Speaker 1: Not everyone signed that, but most did. Everyone signed the

1136
01:02:21,440 --> 01:02:24,360
Speaker 1: ballot Access Agreement in South Carolina. And let me just

1137
01:02:25,000 --> 01:02:28,160
Speaker 1: take ten seconds on that. That was basically an agreement

1138
01:02:28,200 --> 01:02:30,840
Speaker 1: in South Carolina that if you were wanted to be

1139
01:02:30,920 --> 01:02:33,240
Speaker 1: on the ballot in South Carolina, we said, that's fine,

1140
01:02:33,280 --> 01:02:35,720
Speaker 1: you can be on the ballot, but you have to

1141
01:02:36,120 --> 01:02:39,840
Speaker 1: tell us that you're going to support whoever wins the primary.

1142
01:02:39,920 --> 01:02:41,840
Speaker 1: And they all signed that. And then of course we

1143
01:02:41,960 --> 01:02:46,120
Speaker 1: came up with the other pledge, which was after the

1144
01:02:46,320 --> 01:02:49,360
Speaker 1: Fox News debate, and we came up with that pledge,

1145
01:02:49,360 --> 01:02:52,520
Speaker 1: which was just a straight up pledge, and everyone signed that.

1146
01:02:52,720 --> 01:02:55,320
Speaker 1: So look, my view is people need to honor their word.

1147
01:02:55,560 --> 01:02:58,040
Speaker 1: I will tell you I'm very pleased that Ted Cruz

1148
01:02:58,760 --> 01:03:03,480
Speaker 1: uh did endorsed and last Friday. But one other thing

1149
01:03:03,520 --> 01:03:07,160
Speaker 1: I want to say that's positive about Senator Cruz and

1150
01:03:07,280 --> 01:03:09,600
Speaker 1: quite frankly one and I will tell about Jeff Busch's

1151
01:03:09,640 --> 01:03:12,680
Speaker 1: campaign has done the same thing. They have been giving

1152
01:03:12,760 --> 01:03:15,600
Speaker 1: back their data to the party and and and doing

1153
01:03:15,680 --> 01:03:18,560
Speaker 1: the things that we needed them to do, uh for

1154
01:03:18,960 --> 01:03:24,200
Speaker 1: the data exchange agreement that will help Donald Trump a lot.

1155
01:03:24,480 --> 01:03:28,920
Speaker 1: So we're getting there, Sean, I I want to tell you,

1156
01:03:29,000 --> 01:03:30,320
Speaker 1: I think you should be a little bit let me

1157
01:03:30,520 --> 01:03:32,400
Speaker 1: let me let me say this. I mean, I think

1158
01:03:32,440 --> 01:03:35,320
Speaker 1: if anybody had to write if it got contentious between

1159
01:03:35,360 --> 01:03:39,640
Speaker 1: any two candidates, it was Cruise and Trump. Um, maybe

1160
01:03:39,720 --> 01:03:43,640
Speaker 1: for obvious reasons, but they so but the fact that

1161
01:03:43,720 --> 01:03:45,520
Speaker 1: he did it. But you know, it's not enough the

1162
01:03:45,600 --> 01:03:47,920
Speaker 1: data exchange for me. They they said they would support

1163
01:03:47,960 --> 01:03:51,360
Speaker 1: the nominee. And you know one person in particular that

1164
01:03:51,400 --> 01:03:54,880
Speaker 1: I am befuddled by. I don't know what words to

1165
01:03:55,040 --> 01:03:57,640
Speaker 1: even describe it. And it doesn't seem to be hurting

1166
01:03:57,680 --> 01:04:02,479
Speaker 1: Donald Trump in anyways, John Kasik, And well, you know, well, look,

1167
01:04:02,680 --> 01:04:05,840
Speaker 1: I think we can still have hope shot. And you know,

1168
01:04:06,000 --> 01:04:09,040
Speaker 1: I'm John made the promise, he signed the pledge. Right,

1169
01:04:09,080 --> 01:04:10,760
Speaker 1: he gave his word, and when you give you word,

1170
01:04:10,800 --> 01:04:13,280
Speaker 1: you're supposed to keep your word. Right. No, that's right.

1171
01:04:13,400 --> 01:04:16,040
Speaker 1: I agree with that. I totally agree with that. And

1172
01:04:16,200 --> 01:04:19,160
Speaker 1: we have some time and I kind of want to

1173
01:04:19,600 --> 01:04:24,000
Speaker 1: keep working on this with his folks and try to

1174
01:04:24,280 --> 01:04:29,000
Speaker 1: continue the conversation. I've made some comments publicly which I

1175
01:04:29,120 --> 01:04:32,240
Speaker 1: think you just played before I got on. I think

1176
01:04:32,720 --> 01:04:36,320
Speaker 1: honoring your word and taking part in the process and

1177
01:04:36,480 --> 01:04:40,760
Speaker 1: ultimately owning up to that word in that process is

1178
01:04:40,840 --> 01:04:44,520
Speaker 1: really important. And I think they get that too, I

1179
01:04:44,640 --> 01:04:47,480
Speaker 1: really do. I think. I know you're frustrated, and you know,

1180
01:04:47,680 --> 01:04:50,360
Speaker 1: you know you talk off the line. We're both frustrated.

1181
01:04:50,440 --> 01:04:52,720
Speaker 1: But I do don't think we should have to beg

1182
01:04:52,840 --> 01:04:54,880
Speaker 1: people to honor their word. I think they should do

1183
01:04:54,960 --> 01:04:57,480
Speaker 1: it as a matter of course. I agree with that,

1184
01:04:58,520 --> 01:05:00,240
Speaker 1: and I'm I don't think. I don't think you should

1185
01:05:00,240 --> 01:05:02,520
Speaker 1: have to go out there and spend your valuable time

1186
01:05:02,720 --> 01:05:05,840
Speaker 1: trying to coax them into keeping their word either and

1187
01:05:06,160 --> 01:05:08,400
Speaker 1: and having to come up with punishments for the little

1188
01:05:08,480 --> 01:05:10,400
Speaker 1: babies that picked up their toys and went home. But

1189
01:05:10,680 --> 01:05:12,520
Speaker 1: you know what, I don't even think it's significant at

1190
01:05:12,560 --> 01:05:14,080
Speaker 1: this point in terms of the race. Let me ask

1191
01:05:14,120 --> 01:05:17,960
Speaker 1: you more important questions, like, for example, you're with Donald

1192
01:05:18,000 --> 01:05:21,360
Speaker 1: Trump throughout a lot of his preparation for the debate.

1193
01:05:21,760 --> 01:05:23,480
Speaker 1: You know, we keep reading a lot of stories it

1194
01:05:23,560 --> 01:05:26,920
Speaker 1: may not have been conventional. And inasmuch as he didn't

1195
01:05:26,920 --> 01:05:30,200
Speaker 1: have mock debate sessions with somebody acting as Hillary Clinton,

1196
01:05:30,640 --> 01:05:33,560
Speaker 1: you know fire, you know, trying to be like Hillary Clinton.

1197
01:05:34,000 --> 01:05:36,240
Speaker 1: What did you think of the debate sessions? How prepared

1198
01:05:36,320 --> 01:05:39,240
Speaker 1: is he tonight? What can we expect well, I think

1199
01:05:39,280 --> 01:05:41,720
Speaker 1: everyone prepares differently. I think Donald Trump is going to

1200
01:05:41,800 --> 01:05:46,240
Speaker 1: be really uh prepared and ready for tonight. I think

1201
01:05:46,280 --> 01:05:48,840
Speaker 1: that he's also very nimble, and we saw that in

1202
01:05:48,880 --> 01:05:51,960
Speaker 1: the twelve debates that we had. He's quick on his feet,

1203
01:05:52,120 --> 01:05:55,920
Speaker 1: he's witty, he's clever, um and he says things the

1204
01:05:55,960 --> 01:05:57,680
Speaker 1: way that a lot of people are thinking. And so

1205
01:05:58,240 --> 01:06:01,080
Speaker 1: I think it's a great combination. He's a game time guy.

1206
01:06:01,920 --> 01:06:04,400
Speaker 1: Uh he when the lights are on, I think he's

1207
01:06:04,520 --> 01:06:06,880
Speaker 1: very good. We've seen it over and over again. He's

1208
01:06:06,920 --> 01:06:10,960
Speaker 1: done but fourteen finales of the Apprentice, He's been successful

1209
01:06:11,000 --> 01:06:14,120
Speaker 1: in business. I really think he's going to be ready.

1210
01:06:14,600 --> 01:06:17,760
Speaker 1: And look, he's to change candidate. The electorate wants to

1211
01:06:17,920 --> 01:06:21,480
Speaker 1: change John and anytime you have a big change election

1212
01:06:21,560 --> 01:06:24,280
Speaker 1: with a change candidate, the usually the last thing to

1213
01:06:24,400 --> 01:06:27,600
Speaker 1: break is that feeling in people's minds when they look

1214
01:06:27,680 --> 01:06:29,680
Speaker 1: on TV. And he said, you know, I think he

1215
01:06:29,760 --> 01:06:33,680
Speaker 1: can do president. When that snaps, the electorate is going

1216
01:06:33,840 --> 01:06:36,880
Speaker 1: to jump, and you see, I agree with that. I

1217
01:06:36,960 --> 01:06:39,560
Speaker 1: think I think that's the break that I would expect

1218
01:06:39,600 --> 01:06:42,040
Speaker 1: in this campaign. I think Hillary is kind of maxed out,

1219
01:06:42,120 --> 01:06:43,920
Speaker 1: to be honest. I mean, she's been in the public

1220
01:06:44,000 --> 01:06:47,080
Speaker 1: eye all these years, I think people have concluded she's

1221
01:06:47,080 --> 01:06:50,720
Speaker 1: not honest, she's not trustworthy. She can't run on her record,

1222
01:06:50,800 --> 01:06:53,560
Speaker 1: she can't run on Obama's economic plan, which he said

1223
01:06:53,640 --> 01:06:56,800
Speaker 1: she'll continue. She can't run on character issues. So the

1224
01:06:56,880 --> 01:06:59,040
Speaker 1: only thing she's got left is to try and convince

1225
01:06:59,080 --> 01:07:02,280
Speaker 1: people Donald Trump doesn't have the temperament to be president. Well.

1226
01:07:02,320 --> 01:07:05,160
Speaker 1: And also, she is the same person that will rattle

1227
01:07:05,240 --> 01:07:08,920
Speaker 1: off one policy provision after the next, But she's also

1228
01:07:09,000 --> 01:07:13,400
Speaker 1: the one person that had the opportunity to accomplish these

1229
01:07:13,480 --> 01:07:16,080
Speaker 1: things over almost thirty years, and she not only didn't

1230
01:07:16,120 --> 01:07:18,280
Speaker 1: do it, but she made things worse. So if she

1231
01:07:18,400 --> 01:07:21,520
Speaker 1: speaks tonight to your audience and she starts talking about

1232
01:07:21,520 --> 01:07:23,959
Speaker 1: all of her ideas and foreign policy, everything she wants

1233
01:07:24,000 --> 01:07:27,120
Speaker 1: to do it, well, she had the chance. He was

1234
01:07:27,280 --> 01:07:29,600
Speaker 1: the secretary of State. I don't I don't know how

1235
01:07:29,640 --> 01:07:32,640
Speaker 1: many secretaries of State farmers there are out there listening

1236
01:07:32,680 --> 01:07:35,280
Speaker 1: to this, but I can fet you not many. And

1237
01:07:36,040 --> 01:07:40,880
Speaker 1: she was in that spot and she failed. I think

1238
01:07:40,960 --> 01:07:44,280
Speaker 1: that's all a good point. The question is, as is

1239
01:07:44,400 --> 01:07:47,640
Speaker 1: Donald Trump ready and you were with him even yesterday,

1240
01:07:47,920 --> 01:07:51,040
Speaker 1: is he ready for her to go on the attack

1241
01:07:51,800 --> 01:07:54,560
Speaker 1: and what is the best response to that? For example,

1242
01:07:54,920 --> 01:07:57,120
Speaker 1: I mean he got into a pretty heavy with people

1243
01:07:57,200 --> 01:08:00,440
Speaker 1: like I guess Marc Rubio or Jeff Bull sure ted

1244
01:08:00,560 --> 01:08:03,240
Speaker 1: cruise at different points in the campaign. But and a

1245
01:08:03,320 --> 01:08:05,640
Speaker 1: lot of people think, well, she's a woman. You better

1246
01:08:05,720 --> 01:08:08,000
Speaker 1: be very careful because she's a woman and you got

1247
01:08:08,080 --> 01:08:11,800
Speaker 1: to treat her differently. What is your advice on that? Well,

1248
01:08:11,840 --> 01:08:13,560
Speaker 1: I do think you need to be careful of tone

1249
01:08:13,800 --> 01:08:17,080
Speaker 1: and the way that you handle yourself in any situation.

1250
01:08:17,160 --> 01:08:20,040
Speaker 1: I think she has to be careful. Um, you know,

1251
01:08:20,160 --> 01:08:21,880
Speaker 1: she was screaming the other day that she should be

1252
01:08:21,960 --> 01:08:24,599
Speaker 1: fifty points ahead and couldn't believe that she wasn't. I mean,

1253
01:08:25,000 --> 01:08:27,960
Speaker 1: all of these things matter. I think that one thing

1254
01:08:28,040 --> 01:08:29,880
Speaker 1: you have to trust. You have to have a good

1255
01:08:30,000 --> 01:08:33,559
Speaker 1: gut feeling on these things. And Donald Trump does. Sean

1256
01:08:34,000 --> 01:08:36,680
Speaker 1: he's got a good read on people, He understands the

1257
01:08:36,800 --> 01:08:40,639
Speaker 1: situation he's in. I quite frankly think he's really felt

1258
01:08:40,720 --> 01:08:43,360
Speaker 1: the gravity of the presidency over the last few weeks

1259
01:08:43,439 --> 01:08:45,800
Speaker 1: as well, just the you know, that shift from the

1260
01:08:45,920 --> 01:08:49,120
Speaker 1: bruising primary to the general and then sort of just

1261
01:08:49,240 --> 01:08:53,200
Speaker 1: the magnitude of what's happening with under what forty six

1262
01:08:53,320 --> 01:08:55,720
Speaker 1: days ago or so. By the way, people that that

1263
01:08:55,960 --> 01:08:58,479
Speaker 1: is something I have seen over the course of what

1264
01:08:58,600 --> 01:09:00,560
Speaker 1: now my thirty get here in radio, I've seen it,

1265
01:09:01,200 --> 01:09:04,440
Speaker 1: and there is there is a point where everyone realizes

1266
01:09:04,520 --> 01:09:07,280
Speaker 1: the magnitude of that office. I mean, it's one thing

1267
01:09:07,400 --> 01:09:09,439
Speaker 1: to say, all right, I think I'm gonna run. Another

1268
01:09:09,520 --> 01:09:12,320
Speaker 1: thing to realize you are now there, and you could

1269
01:09:12,400 --> 01:09:14,599
Speaker 1: be there, and you could be the person in charge,

1270
01:09:15,160 --> 01:09:17,480
Speaker 1: and it's something else. I don't know if you experienced

1271
01:09:17,560 --> 01:09:19,559
Speaker 1: this the first time you ever walked into the Oval office.

1272
01:09:19,600 --> 01:09:24,599
Speaker 1: It's it's the office impacts you because it's it's it's

1273
01:09:24,640 --> 01:09:28,560
Speaker 1: beyond symbolic, because it is the center of power in

1274
01:09:28,680 --> 01:09:32,799
Speaker 1: the entire free world. And there's a majesty to that office,

1275
01:09:33,040 --> 01:09:35,280
Speaker 1: you know, and people's lives are counting on you to

1276
01:09:35,400 --> 01:09:38,880
Speaker 1: deliver it and and follow through with promises. And he

1277
01:09:39,000 --> 01:09:41,800
Speaker 1: gets it. He wants to be he listened, he wants

1278
01:09:41,840 --> 01:09:45,280
Speaker 1: to do well. He's working hard. She's never run for

1279
01:09:45,439 --> 01:09:48,960
Speaker 1: office before. Hillary has been doing it forever. I think

1280
01:09:49,080 --> 01:09:53,519
Speaker 1: the total burden is on her completely to crush you tonight.

1281
01:09:53,760 --> 01:09:56,800
Speaker 1: So she's in a tough spot because everyone expects her

1282
01:09:57,479 --> 01:10:00,400
Speaker 1: to have every little, tiny detail about every little thing,

1283
01:10:00,479 --> 01:10:03,000
Speaker 1: and you know, you know, start naming the cabinet of

1284
01:10:03,080 --> 01:10:05,439
Speaker 1: Tajikis stand. You know, she might be able to do it,

1285
01:10:05,560 --> 01:10:09,599
Speaker 1: but what you can't do, uh is actually follow through

1286
01:10:09,680 --> 01:10:11,840
Speaker 1: on this knowledge and get something done, which she hasn't

1287
01:10:11,840 --> 01:10:14,599
Speaker 1: been able to do. What she's had the unique chances

1288
01:10:14,680 --> 01:10:17,760
Speaker 1: to do those things. What do you make of Nate

1289
01:10:17,880 --> 01:10:21,040
Speaker 1: Silver adjusting his projection now in favor of Donald Trump

1290
01:10:21,120 --> 01:10:26,280
Speaker 1: at fifty. I like it, uh, But ultimately i'd like

1291
01:10:26,439 --> 01:10:28,720
Speaker 1: it if you know, about a month you and I

1292
01:10:28,800 --> 01:10:31,439
Speaker 1: are still having that conversation. I like I said before,

1293
01:10:31,439 --> 01:10:33,400
Speaker 1: and I mean this, and I think you you noticed

1294
01:10:33,800 --> 01:10:39,120
Speaker 1: that the the electorate is about to break, and they

1295
01:10:39,240 --> 01:10:44,360
Speaker 1: want to break for Trump, just like the elector didn't

1296
01:10:44,400 --> 01:10:47,480
Speaker 1: want four more years that Jimmy Carter. There was concluded

1297
01:10:47,560 --> 01:10:49,559
Speaker 1: that they didn't want four more years at Jimmy Carter.

1298
01:10:49,960 --> 01:10:54,519
Speaker 1: So it was only until the voters saw Ronald Reagan

1299
01:10:54,600 --> 01:10:57,160
Speaker 1: and said, I think he can be president. I can

1300
01:10:57,280 --> 01:11:00,320
Speaker 1: see that happening, and then the bottom fell out. So

1301
01:11:01,160 --> 01:11:03,880
Speaker 1: that's where we're at here today. Although I would say

1302
01:11:03,960 --> 01:11:07,240
Speaker 1: Donald Trump's actually in a pretty good spot in the polls.

1303
01:11:07,320 --> 01:11:10,519
Speaker 1: We're better off to day than we were four years ago. Um,

1304
01:11:10,640 --> 01:11:13,200
Speaker 1: and our candidate has a higher upside than Hillary. I mean,

1305
01:11:13,240 --> 01:11:15,640
Speaker 1: his ceiling is much higher than hers. It's going to

1306
01:11:15,720 --> 01:11:20,400
Speaker 1: be a fascinating night by any estivation. And uh, I'll

1307
01:11:20,439 --> 01:11:23,360
Speaker 1: tell you it's gonna be very interesting to watch. UM

1308
01:11:23,840 --> 01:11:26,439
Speaker 1: this projecting they may have a hundred million people watching

1309
01:11:26,520 --> 01:11:29,200
Speaker 1: this debate tonight. That would be a record. That's gonna

1310
01:11:29,240 --> 01:11:32,000
Speaker 1: be unright. I'm looking forward to it, and I'll see

1311
01:11:32,040 --> 01:11:36,280
Speaker 1: you in the spin room immediately thereafter. All right, Ryan's

1312
01:11:36,280 --> 01:11:38,920
Speaker 1: previous on the Sean Hannity Show, Jean's uh for r

1313
01:11:38,960 --> 01:11:41,599
Speaker 1: NC chairman. Of course, eight hundred nine for one, Shawn

1314
01:11:41,720 --> 01:11:43,559
Speaker 1: is a toe free telephone number. All right, let's get

1315
01:11:43,560 --> 01:11:46,599
Speaker 1: to our phones here. In the meantime we have let's

1316
01:11:46,840 --> 01:11:50,640
Speaker 1: say hi to doctor Sam in Montana. Dr Sam, how

1317
01:11:50,680 --> 01:11:53,800
Speaker 1: are you you a real medical doctor? Yes, sir high

1318
01:11:53,840 --> 01:11:56,519
Speaker 1: handed needs some pleasure talking to you today. Pleasures all mind?

1319
01:11:56,560 --> 01:11:59,320
Speaker 1: What kind of doctor are you? I am a neurologist.

1320
01:11:59,439 --> 01:12:02,680
Speaker 1: My special t is neuromuscular diseases. I've been doing this

1321
01:12:02,920 --> 01:12:07,560
Speaker 1: for over two decades and in my opinion, Hillary Clinton's

1322
01:12:07,600 --> 01:12:13,760
Speaker 1: afflicted with a fairly uncomming neurological disease called MIAs fenia gravis.

1323
01:12:14,160 --> 01:12:17,720
Speaker 1: I'm going to spell it m y A S t

1324
01:12:18,240 --> 01:12:20,960
Speaker 1: h E n I A and the second part is

1325
01:12:21,040 --> 01:12:24,839
Speaker 1: gravis d R A v I S, which affects muscles.

1326
01:12:24,960 --> 01:12:28,679
Speaker 1: It fluctuates, so it comes and goes. It can explain

1327
01:12:28,760 --> 01:12:32,040
Speaker 1: all her symptoms. She does not have parkinson, she does

1328
01:12:32,120 --> 01:12:35,960
Speaker 1: not have seizures. The head bobbing that you have seen

1329
01:12:36,040 --> 01:12:39,559
Speaker 1: on the video from July is caused from neck weakness

1330
01:12:39,680 --> 01:12:44,000
Speaker 1: from myasthenia gravis, and her eye movements is from eye

1331
01:12:44,120 --> 01:12:48,639
Speaker 1: muscle weakness, which is also from the same disease. Now,

1332
01:12:48,760 --> 01:12:51,800
Speaker 1: would that explain her fault or do you think that

1333
01:12:52,000 --> 01:12:55,679
Speaker 1: was really associated with pneumonia. No, I think her fault

1334
01:12:55,840 --> 01:12:59,680
Speaker 1: was actually a fainting spell. She collapsed most people when

1335
01:12:59,720 --> 01:13:02,519
Speaker 1: they it's a matter of seconds, and that could have

1336
01:13:02,560 --> 01:13:07,080
Speaker 1: been the pneumonia or the dehydration, whatever the case. Now,

1337
01:13:07,160 --> 01:13:10,320
Speaker 1: one of the interesting things is that my estemia gravis

1338
01:13:10,520 --> 01:13:14,880
Speaker 1: is set off or exacerbated by infections such as pneumonia,

1339
01:13:15,320 --> 01:13:19,120
Speaker 1: and also the medication, the antibiotic that she received by

1340
01:13:19,160 --> 01:13:22,000
Speaker 1: the name of Levi Quinn, which is contraindicated in my

1341
01:13:22,200 --> 01:13:25,679
Speaker 1: estinia gravits. I took Levin Quinn once and that's pretty strong.

1342
01:13:25,880 --> 01:13:30,080
Speaker 1: Let me ask you what it explained this this high pitched,

1343
01:13:30,320 --> 01:13:35,200
Speaker 1: out of sort of control interview she gave last week. No,

1344
01:13:35,400 --> 01:13:38,719
Speaker 1: I don't think so. Um, if there's a medical reason

1345
01:13:38,880 --> 01:13:43,080
Speaker 1: for that, and and this is kind of drawing at straws,

1346
01:13:43,400 --> 01:13:47,439
Speaker 1: it would be maybe the steroids. But I don't I'm

1347
01:13:47,479 --> 01:13:49,880
Speaker 1: not I'm not sure what happened. Do you think she's

1348
01:13:49,920 --> 01:13:51,960
Speaker 1: on like a heavy dose or pregnant zonne or something

1349
01:13:52,040 --> 01:13:55,400
Speaker 1: like that. Yeah, I would for my estemia gravis. And

1350
01:13:55,720 --> 01:13:59,600
Speaker 1: the interesting thing is that on September twentie, when she

1351
01:13:59,720 --> 01:14:04,600
Speaker 1: gave the interview in Philadelphia, she had severe optimal prices,

1352
01:14:04,720 --> 01:14:07,320
Speaker 1: which means that the eyes were very weak. That's what

1353
01:14:07,520 --> 01:14:12,559
Speaker 1: people call cock eyed eyes, etcetera. The next day, when

1354
01:14:12,640 --> 01:14:16,519
Speaker 1: she spoke in Orlando, was near I'm running out of time.

1355
01:14:16,600 --> 01:14:18,120
Speaker 1: Let me ask you this question. Do you think that

1356
01:14:18,280 --> 01:14:21,240
Speaker 1: they can give her enough medicine tonight that she would

1357
01:14:21,280 --> 01:14:23,760
Speaker 1: be fine, that they'd be able to control everything for

1358
01:14:24,120 --> 01:14:29,120
Speaker 1: a high pressure situation like tonight. Oh yeah, okay, alright,

1359
01:14:29,160 --> 01:14:31,800
Speaker 1: just check all right, dr the interesting theory, we appreciate it.

1360
01:14:32,320 --> 01:14:34,120
Speaker 1: When we come back wide open telephones. You want to

1361
01:14:34,120 --> 01:14:36,200
Speaker 1: be a part of the program eight nine four one

1362
01:14:36,240 --> 01:14:38,000
Speaker 1: sewn if you want to join us. I think this

1363
01:14:38,200 --> 01:14:42,080
Speaker 1: is pay very very close attention. This is gonna be

1364
01:14:42,240 --> 01:14:46,720
Speaker 1: one hell of a debate tonight by any standard, just

1365
01:14:46,880 --> 01:14:50,760
Speaker 1: fascinating and I'm just exacting if I'm looking forward to it.

1366
01:14:50,800 --> 01:14:52,880
Speaker 1: It's time to get the game on. Here we are

1367
01:14:53,520 --> 01:14:56,000
Speaker 1: on how many days? Forty three days till election day?

1368
01:14:56,560 --> 01:14:59,559
Speaker 1: It's time. Let's get this game going and a lot

1369
01:14:59,640 --> 01:15:02,360
Speaker 1: of stay tonight we'll be watching and uh, let's see

1370
01:15:02,360 --> 01:15:04,200
Speaker 1: what happens. Let's go to the phones. Barbara is in

1371
01:15:04,320 --> 01:15:07,120
Speaker 1: Long Island listening to the all New AM seven ten

1372
01:15:07,920 --> 01:15:10,000
Speaker 1: w a R the Voice of New York, New Jersey

1373
01:15:10,080 --> 01:15:12,760
Speaker 1: and Long Island. And how are you, Barbara? Glad you call.

1374
01:15:13,120 --> 01:15:16,360
Speaker 1: I'm great, Thanks for taking my call. Sean, thank you

1375
01:15:16,479 --> 01:15:19,479
Speaker 1: for calling. What's going on? Well, I'm very excited about

1376
01:15:19,520 --> 01:15:22,120
Speaker 1: tonight's to be. I think it's going to be an

1377
01:15:22,160 --> 01:15:24,519
Speaker 1: opportunity that Donald Trump is going to get to show

1378
01:15:24,520 --> 01:15:27,720
Speaker 1: America who he really is and all the great things

1379
01:15:27,760 --> 01:15:30,360
Speaker 1: that he can do for our country, because Lord knows

1380
01:15:30,479 --> 01:15:34,560
Speaker 1: we needed to get fixed. And um, I think that

1381
01:15:35,360 --> 01:15:38,080
Speaker 1: he hasn't had a chance to be really portrayed properly

1382
01:15:38,200 --> 01:15:41,160
Speaker 1: through all these negative ads that Hillary Clinton is running.

1383
01:15:42,040 --> 01:15:45,479
Speaker 1: And when I see her negative ads, they make me

1384
01:15:45,960 --> 01:15:49,479
Speaker 1: want to vote for him even more. You know, look,

1385
01:15:49,640 --> 01:15:53,559
Speaker 1: I think her spending all of this money and getting

1386
01:15:53,720 --> 01:15:56,400
Speaker 1: nothing back, it's it seems to remind me of all

1387
01:15:56,439 --> 01:15:58,519
Speaker 1: the money that Jeb Bush was spending in the primary.

1388
01:15:59,120 --> 01:16:02,160
Speaker 1: You know, he's spending five thousand dollars on average per vote,

1389
01:16:02,160 --> 01:16:04,639
Speaker 1: and he's not getting anything any bang for his buck.

1390
01:16:05,280 --> 01:16:08,160
Speaker 1: And I think the oversaturation of ads, I think people

1391
01:16:08,200 --> 01:16:10,200
Speaker 1: just tune them out. Now. When I was in Cleveland

1392
01:16:10,320 --> 01:16:13,040
Speaker 1: last week with Trump on that town hall, Now when

1393
01:16:13,120 --> 01:16:15,280
Speaker 1: we flew in the night before and I'm watching TV

1394
01:16:15,400 --> 01:16:17,240
Speaker 1: and there's one ad after another, I just I don't

1395
01:16:17,240 --> 01:16:21,519
Speaker 1: even pay attention to it. And they don't also seem

1396
01:16:21,600 --> 01:16:24,240
Speaker 1: to give him any credit forgetting as far as he

1397
01:16:24,400 --> 01:16:27,519
Speaker 1: has without spending all the money she spent and running

1398
01:16:27,560 --> 01:16:30,760
Speaker 1: all these ads. And isn't that the way we want

1399
01:16:30,800 --> 01:16:33,599
Speaker 1: the government to be run effectively with the least cost

1400
01:16:34,360 --> 01:16:39,200
Speaker 1: the just I just think what's fascinating to me is

1401
01:16:39,560 --> 01:16:44,720
Speaker 1: this is the same rules are not applying here this year.

1402
01:16:44,880 --> 01:16:47,439
Speaker 1: And there's a reason for it. And I think the

1403
01:16:47,600 --> 01:16:52,920
Speaker 1: main reason is government has failed on such a colossal level,

1404
01:16:53,560 --> 01:16:55,880
Speaker 1: and it's all of the things that I mentioned. Every

1405
01:16:55,960 --> 01:16:59,960
Speaker 1: day it's failing people and people now are being impact

1406
01:17:00,120 --> 01:17:04,920
Speaker 1: did by these two dopey parties in Washington that kind

1407
01:17:04,960 --> 01:17:08,519
Speaker 1: of seemed to be working almost in unison half the time.

1408
01:17:08,680 --> 01:17:13,000
Speaker 1: Both arrogant, both out of touch and and certainly not

1409
01:17:13,240 --> 01:17:16,320
Speaker 1: responsive to the needs of the American people. And that's

1410
01:17:16,320 --> 01:17:18,400
Speaker 1: why when the poverty rate goes this high and the

1411
01:17:19,040 --> 01:17:22,479
Speaker 1: unemployment rate goes this well, not the unemployment rate, the

1412
01:17:22,560 --> 01:17:26,439
Speaker 1: labor participation rate is is the worst since the seventies,

1413
01:17:26,479 --> 01:17:29,439
Speaker 1: and the worst recovery since the forties, and the lowest

1414
01:17:29,479 --> 01:17:31,880
Speaker 1: home ownership in fifty one years, and twelve million more

1415
01:17:31,920 --> 01:17:34,479
Speaker 1: Americans on food stamps and eight million more in poverty,

1416
01:17:34,920 --> 01:17:36,960
Speaker 1: and you double the debt in the process. People say, what,

1417
01:17:37,240 --> 01:17:39,720
Speaker 1: you know, what the hell is this? And this is

1418
01:17:39,760 --> 01:17:43,560
Speaker 1: not government functioning for by for the people. It's not.

1419
01:17:43,760 --> 01:17:48,240
Speaker 1: It's it's government for themselves to satisfy their own ambition.

1420
01:17:48,680 --> 01:17:53,320
Speaker 1: His his message has resonated with me so much because

1421
01:17:54,160 --> 01:17:56,880
Speaker 1: I'm like many people I know, we want to take

1422
01:17:57,000 --> 01:18:00,719
Speaker 1: back our America, we want our We're meant to stop

1423
01:18:01,280 --> 01:18:04,479
Speaker 1: telling us what we need to do that. Obviously, they're

1424
01:18:04,560 --> 01:18:08,439
Speaker 1: not doing very well. And many of the people that

1425
01:18:08,560 --> 01:18:10,600
Speaker 1: I know this year don't see it as a Republican

1426
01:18:10,760 --> 01:18:13,720
Speaker 1: versus Democrat. It's who's going to do the better job

1427
01:18:14,320 --> 01:18:15,920
Speaker 1: and who's going to get us out of the mess

1428
01:18:15,960 --> 01:18:19,639
Speaker 1: of all the things that you just mentioned. And it's

1429
01:18:19,720 --> 01:18:23,320
Speaker 1: not about I think this year, I think they're missing

1430
01:18:23,360 --> 01:18:27,360
Speaker 1: the point. It's not about Democrat versus Republican. It's about

1431
01:18:27,439 --> 01:18:30,240
Speaker 1: who's going to fix this country and who's trustworthy and

1432
01:18:30,360 --> 01:18:34,320
Speaker 1: she's not. She's going to do you know. And look,

1433
01:18:34,360 --> 01:18:36,960
Speaker 1: that's what made it somewhat ironic. I mean, they tried

1434
01:18:37,040 --> 01:18:40,320
Speaker 1: to power moves before the debate tonight to get into

1435
01:18:40,320 --> 01:18:43,240
Speaker 1: Trump's head, and I think both failed colossally on a

1436
01:18:43,320 --> 01:18:45,840
Speaker 1: colossal level. And that is one putting Mark Cuban in

1437
01:18:45,880 --> 01:18:50,000
Speaker 1: the front row. And then you have Mark Cuban on

1438
01:18:50,200 --> 01:18:52,439
Speaker 1: tape saying what we played earlier in the program that

1439
01:18:52,520 --> 01:18:54,599
Speaker 1: if he saw a black kid in a hoodie, he'd

1440
01:18:54,640 --> 01:18:56,320
Speaker 1: go to the other side of the street, and that

1441
01:18:56,439 --> 01:19:00,639
Speaker 1: he's admits he's prejudiced, and he admits he's bigoted. Hillary,

1442
01:19:00,680 --> 01:19:03,439
Speaker 1: Are you gonna denounce, You're gonna disinvite him? So I

1443
01:19:03,479 --> 01:19:05,240
Speaker 1: think that was a big mistake. The second thing that

1444
01:19:05,320 --> 01:19:07,320
Speaker 1: I think they tried to do is well, Trump's a liar.

1445
01:19:07,439 --> 01:19:10,200
Speaker 1: They want to open up the are you honest? Question?

1446
01:19:10,680 --> 01:19:12,800
Speaker 1: She's got a lot of baggage there, as I pointed

1447
01:19:12,800 --> 01:19:15,840
Speaker 1: out in the first hour today. Anyway, thank you, Barbara.

1448
01:19:15,880 --> 01:19:17,679
Speaker 1: It's gonna be a fun night. It's it's a proud

1449
01:19:17,800 --> 01:19:20,320
Speaker 1: moment for Hofster University. By the way, we gotta give

1450
01:19:20,360 --> 01:19:24,240
Speaker 1: them shout outs. It's a great school. It's on Long

1451
01:19:24,320 --> 01:19:27,439
Speaker 1: Island and in Hempstead, and you know it's been uh

1452
01:19:27,479 --> 01:19:30,120
Speaker 1: it's it's just a great place. And in every election

1453
01:19:30,160 --> 01:19:33,960
Speaker 1: here they do really well. Jim and San Francisco, Jim, Hi,

1454
01:19:34,080 --> 01:19:37,040
Speaker 1: how are you glad you called? Sir? Sean? How are

1455
01:19:37,080 --> 01:19:39,400
Speaker 1: you doing, my friend? I'm good. What's going out there

1456
01:19:39,439 --> 01:19:44,599
Speaker 1: in liberal land San Francisco? Well out we just we're

1457
01:19:44,640 --> 01:19:48,760
Speaker 1: all rooting for Hilly. Okay, so you're gonna vote for

1458
01:19:48,840 --> 01:19:51,400
Speaker 1: Hillary in San Francisco. I'm I'm kind of already put

1459
01:19:51,439 --> 01:19:54,760
Speaker 1: the electoral votes of California in Hillary's column. You know

1460
01:19:54,840 --> 01:19:56,840
Speaker 1: what your state has gone. Do you enjoy paying your

1461
01:19:56,880 --> 01:20:00,719
Speaker 1: thirteen percent state income tax? Thirt and a half percent

1462
01:20:01,400 --> 01:20:02,880
Speaker 1: compared to the rest of the country. It's not that

1463
01:20:03,000 --> 01:20:08,599
Speaker 1: it's about half a No, the state tax is actually

1464
01:20:08,760 --> 01:20:16,320
Speaker 1: more than any other state in the country. Yeah, so

1465
01:20:16,439 --> 01:20:19,920
Speaker 1: you're paying federal tax. Hang on, so you're paying Let's

1466
01:20:19,920 --> 01:20:21,360
Speaker 1: do the math and let's see how smart you are.

1467
01:20:21,640 --> 01:20:25,280
Speaker 1: So state income federal income tax thirteen and a half percent.

1468
01:20:25,360 --> 01:20:28,160
Speaker 1: State income tax, that's fifty three and a half percent.

1469
01:20:28,240 --> 01:20:30,040
Speaker 1: Then you gotta pay fike at taxes. How are those

1470
01:20:30,080 --> 01:20:32,519
Speaker 1: property taxes out in San Francisco? I bet the property

1471
01:20:32,600 --> 01:20:36,560
Speaker 1: tax rate is pretty high, right, it's not bad. And

1472
01:20:36,640 --> 01:20:39,080
Speaker 1: how's the sales tax out? And how's the sales tax

1473
01:20:39,120 --> 01:20:42,320
Speaker 1: out in California? Well, compared to where you live at something,

1474
01:20:43,040 --> 01:20:47,680
Speaker 1: how's the sales tax in California nine a half? Okay? Good,

1475
01:20:47,720 --> 01:20:49,840
Speaker 1: So you're paying a good sixty plus cents out of

1476
01:20:49,880 --> 01:20:52,559
Speaker 1: every dollar to the government. And you think that's just fine. Right,

1477
01:20:54,240 --> 01:20:59,800
Speaker 1: Well it's California, it's okay. Then that's listen that that's

1478
01:20:59,800 --> 01:21:03,760
Speaker 1: the point. It's the you know, United Socialist state of California.

1479
01:21:04,720 --> 01:21:07,040
Speaker 1: You enjoy it out there, but I'm not. And there's

1480
01:21:07,080 --> 01:21:10,519
Speaker 1: a reason why you're losing population every ten years because

1481
01:21:10,560 --> 01:21:13,360
Speaker 1: people are getting the hell out of California, and they're

1482
01:21:13,360 --> 01:21:15,840
Speaker 1: going to states like Texas. Now, I don't mind Californians

1483
01:21:15,880 --> 01:21:18,439
Speaker 1: moving to Texas. Just don't bring your liberal policies with you.

1484
01:21:19,000 --> 01:21:22,400
Speaker 1: You've already destroyed one great state, don't destroy another great state.

1485
01:21:23,320 --> 01:21:25,400
Speaker 1: All right, appreciate it. Let's go back to our phones

1486
01:21:25,760 --> 01:21:29,919
Speaker 1: as we say hi to Vinny. Vinny is in Comack,

1487
01:21:30,040 --> 01:21:33,320
Speaker 1: New York. Also out in Long Island. What's up, Vinny,

1488
01:21:33,400 --> 01:21:41,959
Speaker 1: how you doing. You're a great American? And afternoon my hometown.

1489
01:21:42,040 --> 01:21:44,559
Speaker 1: What's going on? My home? My home? Well, I grew

1490
01:21:44,640 --> 01:21:46,800
Speaker 1: up in Long Island. What's going on? Not too much.

1491
01:21:47,000 --> 01:21:49,840
Speaker 1: I'm very excited about the debate tonight, and I'm also

1492
01:21:49,960 --> 01:21:53,920
Speaker 1: frustrated with with all Republicans. I think tonight Donald Trump

1493
01:21:54,080 --> 01:21:58,280
Speaker 1: is going to show the entire country the differences between

1494
01:21:58,560 --> 01:22:02,839
Speaker 1: immagillary and how she will straighten it, straighten out the country,

1495
01:22:03,200 --> 01:22:07,280
Speaker 1: protect the borders, protect the country, if the economy moving again,

1496
01:22:08,000 --> 01:22:12,160
Speaker 1: and just show the the major differences between the two candidates.

1497
01:22:12,880 --> 01:22:16,040
Speaker 1: And if all she's going to do is try and

1498
01:22:16,240 --> 01:22:19,439
Speaker 1: bait him, to make him commit her as a bully,

1499
01:22:20,439 --> 01:22:22,720
Speaker 1: And I mean, she's really got no record to run on,

1500
01:22:22,880 --> 01:22:25,559
Speaker 1: so that's the only thing she can do. I mean,

1501
01:22:25,800 --> 01:22:28,760
Speaker 1: I think it's gonna the people will see the differences

1502
01:22:28,880 --> 01:22:31,880
Speaker 1: and what the lady he is and how she has

1503
01:22:32,560 --> 01:22:36,200
Speaker 1: no backing, there's no no record to run on, and

1504
01:22:36,640 --> 01:22:39,720
Speaker 1: and the major differences between these Canadas. Look, I know

1505
01:22:39,880 --> 01:22:42,200
Speaker 1: we put a lot of emphasis on these debates, and

1506
01:22:42,640 --> 01:22:45,160
Speaker 1: I guess you know they are what they are. But

1507
01:22:45,280 --> 01:22:49,160
Speaker 1: to me, the election is about this. It's about do

1508
01:22:49,200 --> 01:22:51,519
Speaker 1: you want a president that can say radical Islama not.

1509
01:22:52,160 --> 01:22:54,720
Speaker 1: Do you want a president that will vet refugees and

1510
01:22:54,840 --> 01:22:58,000
Speaker 1: listen to our top intelligence officials or not? Do you

1511
01:22:58,040 --> 01:23:01,080
Speaker 1: want originalists on the court or not? You want activist

1512
01:23:01,200 --> 01:23:04,160
Speaker 1: justices like Hillary will appoint. Do you want a president

1513
01:23:04,240 --> 01:23:06,519
Speaker 1: that will control our borders and build a wall or

1514
01:23:06,920 --> 01:23:09,840
Speaker 1: Hillary's bridge that she wants to build. Do you want

1515
01:23:09,960 --> 01:23:12,000
Speaker 1: lower taxes or do you want higher taxes? Do you

1516
01:23:12,040 --> 01:23:14,920
Speaker 1: want to incentivize corporations to invest in America or not?

1517
01:23:15,600 --> 01:23:17,840
Speaker 1: Do you want energy independence or not? Do you want

1518
01:23:17,880 --> 01:23:21,439
Speaker 1: Obamacare repealed or not? Do you want education but sent

1519
01:23:21,520 --> 01:23:25,160
Speaker 1: back to small towns, municipalities and states are not? And

1520
01:23:25,400 --> 01:23:28,879
Speaker 1: I just think it's it's the biggest compare and contrast

1521
01:23:28,960 --> 01:23:32,439
Speaker 1: the election that you'll probably have in your lifetime she is.

1522
01:23:33,439 --> 01:23:38,880
Speaker 1: It's it's really a vast difference and all the poles

1523
01:23:38,920 --> 01:23:43,559
Speaker 1: of tightening, and it's frustrating to not have the backing

1524
01:23:43,800 --> 01:23:48,320
Speaker 1: of the Republican establishment, all of these guys up in Washington.

1525
01:23:48,400 --> 01:23:54,679
Speaker 1: Now you have Ryan and you know McCain and Hush

1526
01:23:54,720 --> 01:23:58,040
Speaker 1: came out Friday, alf hearted leader back in. But when

1527
01:23:58,160 --> 01:24:02,240
Speaker 1: is Jeff Bush, when Mcca, Lizzy Graham? Where are all

1528
01:24:02,320 --> 01:24:05,000
Speaker 1: these guys votes out there? I don't think that. I

1529
01:24:05,080 --> 01:24:07,400
Speaker 1: don't think I don't think it matters. I honestly at

1530
01:24:07,439 --> 01:24:10,120
Speaker 1: this point, I don't think it matters. It's it's Trump

1531
01:24:10,280 --> 01:24:13,360
Speaker 1: versus Hillary. Let's see, let's get the game on forty

1532
01:24:13,479 --> 01:24:16,639
Speaker 1: three days when he hang in there, buddy. Uh. Cindy

1533
01:24:16,840 --> 01:24:20,439
Speaker 1: is in Brooksville in Florida. Next on The Sean Hannity Show,

1534
01:24:20,479 --> 01:24:24,200
Speaker 1: How are you, Cindy? Hi? Sean? What is honored to

1535
01:24:24,280 --> 01:24:30,120
Speaker 1: speak with you? Um? Your question of the day we

1536
01:24:30,240 --> 01:24:33,479
Speaker 1: can go Wednesday was if you could ask Mrs Clinton

1537
01:24:33,640 --> 01:24:37,720
Speaker 1: one question, what would it be? And it's extremely relevant

1538
01:24:38,000 --> 01:24:42,439
Speaker 1: for tonight's debate. My question would be this, Mrs Clinton,

1539
01:24:42,520 --> 01:24:45,280
Speaker 1: how would you respond if Chelsea were serving our nation

1540
01:24:45,439 --> 01:24:47,760
Speaker 1: in a foreign country and she and her brothers and

1541
01:24:47,880 --> 01:24:50,639
Speaker 1: sisters and arms were in grave danger and no help came.

1542
01:24:51,120 --> 01:24:53,240
Speaker 1: How would you respond if you later found out that

1543
01:24:53,400 --> 01:24:57,160
Speaker 1: Chelsea was raped, cattle prodded and murdered because the Secretary

1544
01:24:57,200 --> 01:25:00,439
Speaker 1: of State was totally corrupt and incompetent and she later

1545
01:25:00,560 --> 01:25:03,200
Speaker 1: lied about it. Mrs Clinton, have you seen the picture

1546
01:25:03,280 --> 01:25:06,600
Speaker 1: of the Ambassador Stevens lying on the ground dead, surrounded

1547
01:25:06,640 --> 01:25:09,439
Speaker 1: by Islamist terrorists and thanked our Lord God that it

1548
01:25:09,560 --> 01:25:13,840
Speaker 1: wasn't Chelsea? And lastly, Mrs Clinton, wasn't the treatment of

1549
01:25:13,880 --> 01:25:17,719
Speaker 1: our soldiers and been Ghazi deplorable? Those are all great questions.

1550
01:25:17,800 --> 01:25:20,559
Speaker 1: You know, we've had a thankfully we did this contest,

1551
01:25:20,640 --> 01:25:22,720
Speaker 1: and we had this group of people sending in what

1552
01:25:22,800 --> 01:25:25,120
Speaker 1: they think the best lines Trump could use on her are,

1553
01:25:25,240 --> 01:25:28,080
Speaker 1: and they're actually very entertaining. I gotta tell you, yeah,

1554
01:25:28,120 --> 01:25:30,320
Speaker 1: I think that's Those are all great things. I agree,

1555
01:25:30,360 --> 01:25:32,559
Speaker 1: those are great questions. You know. I love how Hillary

1556
01:25:32,680 --> 01:25:35,160
Speaker 1: is now trying to rely on Lester Holt to do

1557
01:25:35,240 --> 01:25:37,679
Speaker 1: her job. And even the Debate Commission came out and said,

1558
01:25:38,200 --> 01:25:40,519
Speaker 1: that's actually the candidates job. It's not the job of

1559
01:25:40,560 --> 01:25:43,240
Speaker 1: the moderator to jump in and debate whether or not

1560
01:25:43,360 --> 01:25:45,560
Speaker 1: what one person is saying is true or not so?

1561
01:25:45,600 --> 01:25:47,000
Speaker 1: Any Way, we had a lot of you sending and

1562
01:25:47,040 --> 01:25:49,519
Speaker 1: stuff onlines. Hillary, would you like some of my water?

1563
01:25:50,080 --> 01:25:53,719
Speaker 1: Those are pretty funny. Uh, Stephen Coss rights from selling

1564
01:25:53,760 --> 01:25:56,799
Speaker 1: the Lincoln Bedroom to the Haitian earthquake survivors. Mrs Clinton

1565
01:25:56,960 --> 01:26:00,200
Speaker 1: is the best pickpocket this country has ever seen. Eat

1566
01:26:00,880 --> 01:26:02,880
Speaker 1: other people have written us. Hillary is so out of

1567
01:26:02,960 --> 01:26:05,160
Speaker 1: step of the American people she needs to be carried

1568
01:26:05,240 --> 01:26:07,519
Speaker 1: by the media. That's all true. The media is carrying

1569
01:26:07,600 --> 01:26:11,759
Speaker 1: there too. You know, tax foreign imports instead of taxing

1570
01:26:11,800 --> 01:26:16,599
Speaker 1: American small business, instead of admitting refugees from terrorist nations,

1571
01:26:16,680 --> 01:26:20,519
Speaker 1: Let's submit more inner city kids to college. The great

1572
01:26:20,560 --> 01:26:25,000
Speaker 1: point to most Americans simply can't afford four more years

1573
01:26:25,040 --> 01:26:28,760
Speaker 1: of Obama economics. They're broke, you know, like you and

1574
01:26:28,880 --> 01:26:31,519
Speaker 1: Bill were when you left the White House. It's pretty

1575
01:26:31,560 --> 01:26:33,920
Speaker 1: good line for Trump to use. All my party may

1576
01:26:34,000 --> 01:26:37,640
Speaker 1: cling to the Second Amendment. Hillary's party, Hillary is a

1577
01:26:37,720 --> 01:26:41,080
Speaker 1: party of the Fifth that's hilarious too, Hillary. Before we start,

1578
01:26:41,200 --> 01:26:44,000
Speaker 1: am I debating you tonight or someone in your earpiece

1579
01:26:44,200 --> 01:26:46,160
Speaker 1: that you wore it your forum with Matt Lower It's

1580
01:26:46,160 --> 01:26:48,040
Speaker 1: pretty funny. Although I don't know if that's true or not.

1581
01:26:48,560 --> 01:26:50,000
Speaker 1: I did read it, but I don't think it's true.

1582
01:26:50,160 --> 01:26:52,120
Speaker 1: At what point did the number of so called lone

1583
01:26:52,200 --> 01:26:55,600
Speaker 1: wolves constitute a pack? A pack we need to recognize

1584
01:26:55,640 --> 01:26:58,519
Speaker 1: and hunt down. American people get it, and I'm hoping

1585
01:26:58,560 --> 01:27:00,800
Speaker 1: that we get to this point, one writes, when he

1586
01:27:00,880 --> 01:27:04,800
Speaker 1: gets asked about releasing his tax returns, Trump should reply,

1587
01:27:05,120 --> 01:27:07,719
Speaker 1: I emailed them to Hillary and I'm not sending them again.

1588
01:27:07,960 --> 01:27:11,160
Speaker 1: That'd be hilarious, that would be so funny. Anyway, thank

1589
01:27:11,200 --> 01:27:13,240
Speaker 1: you for all of you that participated on Hannity dot

1590
01:27:13,280 --> 01:27:14,640
Speaker 1: Com has a lot of fun. All right, let's go

1591
01:27:14,680 --> 01:27:18,120
Speaker 1: to our busy telephones here. Let's say hi to Alice

1592
01:27:18,160 --> 01:27:21,000
Speaker 1: and pomcost Florida. Alice, how are you glad? You called? Fine?

1593
01:27:21,040 --> 01:27:23,920
Speaker 1: Thank you sir, how are you? I'm good? What's going on? Well?

1594
01:27:24,680 --> 01:27:26,680
Speaker 1: I just have a comment to make. I know that

1595
01:27:26,840 --> 01:27:29,080
Speaker 1: Hillary is going to pounce on Mr Trump about the

1596
01:27:29,160 --> 01:27:33,040
Speaker 1: con family and how he dishonored them. But actually she

1597
01:27:33,240 --> 01:27:36,920
Speaker 1: dishonored four gold Star families when as their caskets with

1598
01:27:37,000 --> 01:27:40,479
Speaker 1: the American flag, we're being wheeled off the plane. She

1599
01:27:40,640 --> 01:27:43,000
Speaker 1: told the family to their face that it was because

1600
01:27:43,040 --> 01:27:45,720
Speaker 1: of the video when she knew that it was not.

1601
01:27:46,200 --> 01:27:48,679
Speaker 1: And not only that, but then they sent Susan Rice

1602
01:27:48,880 --> 01:27:53,200
Speaker 1: on the Little Five Morning Show tour to propagate the lie.

1603
01:27:53,760 --> 01:27:56,600
Speaker 1: So she was the first one to dis really dishonor

1604
01:27:56,920 --> 01:27:59,600
Speaker 1: and lie to gold Star families. Well, there's gonna be

1605
01:27:59,720 --> 01:28:03,320
Speaker 1: a old star mom in the audience tonight, somebody that

1606
01:28:03,400 --> 01:28:05,760
Speaker 1: we have had on this program many times. Karen Vaughna

1607
01:28:05,840 --> 01:28:08,400
Speaker 1: is going to be there. Also, one of the Benghazi heroes,

1608
01:28:08,439 --> 01:28:12,080
Speaker 1: Mark Geist, is gonna be there among Trump invitees, so

1609
01:28:12,600 --> 01:28:13,840
Speaker 1: she might have a chance to look out in the

1610
01:28:13,840 --> 01:28:16,040
Speaker 1: audience and actually see them and address them, although I

1611
01:28:16,120 --> 01:28:18,360
Speaker 1: doubt she ever would. But yeah, all of that which

1612
01:28:18,400 --> 01:28:20,800
Speaker 1: should come up into plate tonight. Look, I don't want

1613
01:28:20,800 --> 01:28:23,880
Speaker 1: to I don't want to burst anybody's bubble here. There

1614
01:28:23,960 --> 01:28:26,920
Speaker 1: might be expectations that are out of whack for everybody

1615
01:28:26,960 --> 01:28:28,960
Speaker 1: in terms of what the debate is gonna end up being.

1616
01:28:29,200 --> 01:28:32,719
Speaker 1: I'm not sure. Sometimes you sold jazzed about a football

1617
01:28:32,800 --> 01:28:35,120
Speaker 1: game and it ends up being not as exciting as

1618
01:28:35,160 --> 01:28:36,800
Speaker 1: you wished it was gonna be. But I've got to

1619
01:28:36,880 --> 01:28:39,800
Speaker 1: imagine one of these three debates is gonna be just

1620
01:28:40,080 --> 01:28:42,439
Speaker 1: a classic that will be taught in the history books

1621
01:28:42,439 --> 01:28:44,479
Speaker 1: and it may very well be tonight, and i'd say

1622
01:28:44,520 --> 01:28:47,080
Speaker 1: advantage of Donald Trump coming into this debate. I think

1623
01:28:47,160 --> 01:28:49,880
Speaker 1: Hillary is really feeling the pressure and we'll see how

1624
01:28:49,920 --> 01:28:50,920
Speaker 1: she responds tonight