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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. You know attention to

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Speaker 1: detail is critical when you own your own business, So

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Speaker 1: use legal zoom dot com for the legal details. Their

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Speaker 1: network of independent attorneys licensed in forty eight states. Well,

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Speaker 1: they know local laws and can provide answers to your

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Speaker 1: legal questions. Legal zoom dot com is not a law firm,

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Speaker 1: so you won't pay by the hour. Just use Hannity

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Speaker 1: one when you check out and save even more. Legal

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Speaker 1: zoom dot com. Two men dead campus shooting. Campus is

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Speaker 1: still on lockdown. U c l A. Thoughts and prayers

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Speaker 1: go out to our friends in Los Angeles, and I

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Speaker 1: don't know if you have your kids there. It's a

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Speaker 1: scary thing to hear there's a shooting on a campus

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Speaker 1: and uh, let's go in and have a conference. But now,

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Speaker 1: press conference, let's just tip into this. This morning homicide

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Speaker 1: and a suicide occurred in Engineering still Engineering, Uh, part

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Speaker 1: of the u c l A campus. On the side

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Speaker 1: outside it appears it is entirely contained. We believe there

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Speaker 1: are no suspects outstanding and no no continuing threat to

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Speaker 1: u c l A's campus. Where in the process of

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Speaker 1: releasing students from lockdown, but we need to do so

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Speaker 1: in an orderly fashion and in a way that allows

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Speaker 1: us to make sure there are no other participants. All right,

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Speaker 1: That kind of answers all the questions right there. It

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Speaker 1: sounds like a murder suicide, sad, tragic, but not an

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Speaker 1: ongoing threat. Uh. If you happen to have a child

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Speaker 1: that's in u c l A, you can breathe a

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Speaker 1: little bit easier. But you know, it's always sad to

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Speaker 1: hear these types of things. We've got a lot coming

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Speaker 1: up in the course of the program today. I am

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Speaker 1: stunned at the number of people commenting on the shooting

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Speaker 1: of the gorilla. I am stunned at the numbers of

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Speaker 1: people that want the parents arrested. I am stunned at

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Speaker 1: the people blaming the Cincinnati Zoo. And you know, this

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Speaker 1: gorilla had been there for seventeen years. It's it's Uh,

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Speaker 1: the reaction is visceral for people on a very deeply

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Speaker 1: emotional level. And you know, to me, it's it's to me,

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Speaker 1: it's just basically a tragedy. I don't know what to think.

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Speaker 1: I mean, apparently this kid had to slip through a

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Speaker 1: number of different barricades and a three foot fans to

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Speaker 1: actually make this happen. And some people say, well, how

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Speaker 1: does a parent take their eye off the child for

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Speaker 1: that long? And I could see that happening, you know,

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Speaker 1: other people of videotaping, I'm like, what are you doing

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Speaker 1: with your stupid video tape? Put your camera down and

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Speaker 1: go save the kid. It's nuts. So you got a

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Speaker 1: foreigner in fifty pound it's called a silver back. I

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Speaker 1: guess Gorilla is the name of this thing at the

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Speaker 1: Cincinnati Zoo. And this all happened on Saturday. And look,

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Speaker 1: I understand you see an animal shot you're heartbroken at death.

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Speaker 1: That makes a lot of sense to me. We love animals,

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Speaker 1: I mean, why do we like to I'm fascinated by

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Speaker 1: I think this shows that God has the most wicked

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Speaker 1: sense of humor, that he can create all these different

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Speaker 1: variations of animals. And then the depth of universes within

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Speaker 1: universes within universes. I mean, it's a majesty that I

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Speaker 1: don't think the human mind could ever comprehend. And in

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Speaker 1: your quieter moments, when you when you touch and hear nature,

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Speaker 1: it's a pretty inspiring thing and you realize all right,

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Speaker 1: there's something smarter and greater than me out there, because

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Speaker 1: we all like to think is little egomaniacs, that we're

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Speaker 1: the smartest thing there is, and we're not. I've actually

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Speaker 1: found this with a lot of atheists, and if you're

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Speaker 1: an atheist you're probably gonna get piste off to bed.

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Speaker 1: Is that atheists think that they can't possibly be anybody

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Speaker 1: smarter than them, And to be an atheist you actually

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Speaker 1: have to believe that something can come from nothing. The

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Speaker 1: idea you say, all right, well, the Big Bang theory,

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Speaker 1: all these at all of this energy colliding and it

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Speaker 1: created all these universes within universes within universes. I mean,

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Speaker 1: we're exploring depths of space we never thought we'd ever explore.

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Speaker 1: And my question always to them is, okay, well where

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Speaker 1: did the original energy come from? And then he can't

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Speaker 1: answer it. It's an impossible question to answer, except that

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Speaker 1: there is something greater than us that created us. So

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Speaker 1: for me, it's a pretty simple issue. And by the way,

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Speaker 1: as long as I'm on my moral high horse here

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Speaker 1: for a second, everyone getting all wigged out and heartbroken

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Speaker 1: over the gorilla, I wonder if those same people have

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Speaker 1: looked at pictures of aborted fetuses. I'm not trying to

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Speaker 1: be disgusting here, but you look at that, you want

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Speaker 1: to have a heart broken when you see perfectly formed arms, fingers, hands, heads, eyes, mouth,

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Speaker 1: nose just ripped out and torn apart. If you ever

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Speaker 1: looked at those pictures I have as you know, for

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Speaker 1: those of you that refuse to acknowledge radical Islam, Hillary Obama,

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Speaker 1: have you looked at the beheading videos? Well, it's my job.

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Speaker 1: I looked at them. I look at them all the time,

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Speaker 1: and it reminds me that there is pure, an adulterated

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Speaker 1: evil that we better confront. I will tell you now

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Speaker 1: that I have a belief system. You can see this

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Speaker 1: happening all over all over Europe. The Islamization of Europe

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Speaker 1: is is almost in full swing. You've got Sharia courts,

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Speaker 1: you've got no go zones, You've got instances where now

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Speaker 1: in Sweden their fighting for women to have women only

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Speaker 1: pools because men can't see women in bikinis. Apparently, Well,

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Speaker 1: that's I can't think of anything more stupid in my

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Speaker 1: life is to take away the bikinis. That's just dumb,

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Speaker 1: that's just well, men can't look at the women in

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Speaker 1: there as if men aren't attracted to women, we just

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Speaker 1: have to deny pure human sciences. So stupid. Anyway, back

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Speaker 1: to the gorilla, I understand you're heartbroken. Ambre is the Arambie.

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Speaker 1: Arambie is the name of the gorilla. You know, it

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Speaker 1: seems that he wasn't trying to hurt the boy. As

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Speaker 1: a matter of fact, I was looking at some comments.

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Speaker 1: I know this guy from years ago when I was

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Speaker 1: a local radio host down in Atlanta. Terry Maples his name.

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Speaker 1: He's an expert in animal psychology, responses to captivity, and

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Speaker 1: he's the former head of Zoo Atlanta. I remember doing

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Speaker 1: a big event with him in New Ingrich back in

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Speaker 1: the early nineteen nineties. He said he didn't think there

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Speaker 1: was any real aggression towards the child. He said, it's

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Speaker 1: difficult to say whether this was an aggressive display or

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Speaker 1: playful interaction. You just don't know. But you can't take

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Speaker 1: the risk because that forner in fifty pound gorilla can

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Speaker 1: crush that kid in seconds. Boom, done dead. So now

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Speaker 1: you got to choose between the gorilla and the kid.

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Speaker 1: That's not an issue for me, not even for a second.

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Speaker 1: The zoo did the right thing. And zoo officials. They

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Speaker 1: tried to lure the gorilla away from the boy. They

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Speaker 1: had succeeded in in in doing that with a female guerrilla,

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Speaker 1: but uh harambe harambie didn't respond that way, wouldn't budge.

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Speaker 1: The gorilla was getting increasingly agitated. The crowd was screaming.

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Speaker 1: Witnesses said the gorilla became more aggressive, seemingly determined not

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Speaker 1: to set that child free. Now, when the gorilla first

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Speaker 1: saw the child, he knocked the boy against the wall.

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Speaker 1: Witnesses said they didn't have an entire video tape. There

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Speaker 1: is no entire videotape anyway, they recorded part of a

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Speaker 1: scene on a phone, and anyway, they the gorilla didn't

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Speaker 1: seem to intent on harming the boy at first. He

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Speaker 1: dragged the kid down further into the moat, almost looked

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Speaker 1: like he was helping him, pulling his pants up, stood

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Speaker 1: stood him up, and then all of a sudden, everybody

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Speaker 1: starts screaming again, and he you know, again, the gorilla

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Speaker 1: drags just like it probably would a baby gorilla. Look,

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Speaker 1: I don't know a whole lot about gorillas. If you're

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Speaker 1: looking for a gorilla expert, I'm not at I just

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Speaker 1: know that the child's life is in jeopardy with a

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Speaker 1: with a wild animal, just a fact. You know. Every

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Speaker 1: one said, well, why didn't you tranquilize the gorilla. Well,

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Speaker 1: that might take ten minutes, and in the meantime it

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Speaker 1: might agitate or further agitate or inflame the gorilla because

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Speaker 1: the gorilla doesn't know what's happening to it. It's not

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Speaker 1: a hard call. The decision was to save the child's life.

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Speaker 1: The boy was immortal danger. A child's life is more

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Speaker 1: valuable than the life of a gorilla. Zoo officials did

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Speaker 1: the right thing. Not a happy event, a necessary action

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Speaker 1: by people running a zoo to save this child's life

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Speaker 1: and ensure the safety of life. You know. The most

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Speaker 1: disturbing part there are people out there that are more

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Speaker 1: emotional about killing the gorilla than they might have been

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Speaker 1: about the child being killed. Well, the child fell in.

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Speaker 1: It's the child fault. He can't blame a three year

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Speaker 1: old child for falling into a moat. That's if anyone's

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Speaker 1: responsible for that part, it's the parents, And I doubt

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Speaker 1: the parents let it happen on purpose. My guess is

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Speaker 1: the parents got busy doing what ever they were doing.

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Speaker 1: It was the mom that was there, and she put

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Speaker 1: a big post on Facebook. I we'll talk about it

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Speaker 1: later today. But the whole thing to me is a tragedy. Um.

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Speaker 1: You know, I gotta tell you something. Um. I think

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Speaker 1: back to what happened yesterday with this Donald Trump press conference,

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Speaker 1: and it's really amazing to me. I think this is

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Speaker 1: a moment where between the New York Times, between Katie

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Speaker 1: Kurrik Telemundo, we actually showed video last night of the

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Speaker 1: Telemundo camera guy orchestrating a shot for their newscast and

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Speaker 1: they're caught red handed that maybe now the tipping point

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Speaker 1: has been met. And I know that so called journalists

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Speaker 1: they're angry about this, you know, but Trump, I am

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Speaker 1: telling you, God bless the guy. Unlike past Republican presidential candidates,

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Speaker 1: he's a one man battering ram against the establishment. I mean,

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Speaker 1: he is literally instinctively understanding the moment we now face.

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Speaker 1: These statistics that I give you on a regular basis,

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Speaker 1: and not statistics for the sake of me hearing myself talk.

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Speaker 1: These are statistics about real people, real lives, real suffering

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Speaker 1: that Americans are needlessly going through because of a bad politicians,

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Speaker 1: bad policies, that are hurting the American people. You're not

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Speaker 1: better off than you wore eight years ago, which should

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Speaker 1: be the question that is paramount in people's minds this

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Speaker 1: election season. I gotta I gott a note from a

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Speaker 1: guy today that hadn't written me in a while, still

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Speaker 1: had my an old email address. I use, Hey, Sean,

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Speaker 1: don't you think it's a bit odd You're a registered Conservative,

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Speaker 1: not a Republican in New York because of principles over

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Speaker 1: a party. Yet you're backing Trump because the party. And

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Speaker 1: I wrote the guy back, I said, I'm not backing

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Speaker 1: him because of party. I'm backing Trump based on the

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Speaker 1: promises he is repeatedly made on the campaign trail and

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Speaker 1: his agenda to help save the country. I like his

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Speaker 1: little I wrote back. I like his list of judges

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Speaker 1: for the Supreme Court. I like the idea that he

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Speaker 1: sees the need to rebuild our military. I like the ump,

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Speaker 1: unlike Hillary and Obama, will identify radical Islamist and extremists

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Speaker 1: as an enemy that needs to be defeated while insisting

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Speaker 1: that other countries stamps step up and do a lot

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Speaker 1: of the fighting. I like the fact that he's standing

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Speaker 1: up for veterans somebody's finally promising to fix a broken

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Speaker 1: v A as veterans are dying waiting for care that

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Speaker 1: we have promised them as a country. I'm glad that

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Speaker 1: he's promising to build a wall and secure the border

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Speaker 1: so we have less competition for Americans out of work

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Speaker 1: to get jobs, and lowering wages in the process. I

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Speaker 1: like the idea that he's promising to repeal Obamacare and

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Speaker 1: replaced with health savings accounts. I like the fact that

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Speaker 1: he's promised in these interviews with me many times, to

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Speaker 1: make America energy independent. Expand coal expand drilling, expand nuclear

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Speaker 1: expand fracking, use new technology. I like his promise to

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Speaker 1: end common Core and send education back to the dates.

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Speaker 1: I like the idea of free and fair trade and

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Speaker 1: negotiating better trade deals that does not mean protectionism by definition.

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Speaker 1: I think it's Trump negotiating as my gut. I like

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Speaker 1: his pledge to get spending under the control and get

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Speaker 1: us moving towards a balanced budget. I like it, and

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Speaker 1: I like the fact that he's not taking any crap

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Speaker 1: from anybody in this phony media. I don't care if

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Speaker 1: it's Telemundo or Katie Coric or or the New York

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Speaker 1: Times or any of the other networks that don't have

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Speaker 1: the courage to vette Hillary Clinton and the same people

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Speaker 1: that didn't have the courage to vet Obama, and that

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Speaker 1: during this forty minute press conference yesterday in which he

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Speaker 1: absolutely excoriated and rightly vilified the media for, you know,

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Speaker 1: going along with this phony Hillary Clinton plants in front

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Speaker 1: of Trump Tower in this radictous I asked him last night,

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Speaker 1: what do they think you're gonna that Trump was gonna

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Speaker 1: steal the six million dollars? Do you really believe that? No,

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Speaker 1: he was actually vetting the charities to make sure that

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Speaker 1: he wasn't gonna get criticized for giving money to a

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Speaker 1: charity that was less than credible. So he vetted the

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Speaker 1: organizations and for fort even this is other New York Times,

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Speaker 1: and for forty minutes, Mr Trump, the presumptive Republican presidential nominee,

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Speaker 1: as sailed those reporting on his candidacy well the level

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Speaker 1: of venom rarely seen at all, let alone in public

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Speaker 1: from the standard bearer of a major political party. Then

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Speaker 1: he warned that a Trump white House would feature the

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Speaker 1: same it goes it's this one we can expect. One

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Speaker 1: of the journey I've watched you You're Sleazy too. It

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Speaker 1: was great. It was great, and it was well deserved.

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Speaker 1: I hope the tipping point we were kind of ahead

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Speaker 1: of the curve. Eight years ago. I declared on this

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Speaker 1: program repeatedly, journalism is dead. It doesn't exist. Now. The

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Speaker 1: story of the press was covering Okay, it's legitimate. He

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Speaker 1: raised it, but not the way they were covering it.

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Speaker 1: The way they were covering it was like there was

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Speaker 1: major malfeasance, misappropriation of funds. Well, he did the vetting,

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Speaker 1: didn't charge for it, and he's right about charities. Oftentimes,

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Speaker 1: administrative costs are ninety cents on every dollar they raised.

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Speaker 1: The largest donation, a million dollar check dated May four,

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Speaker 1: came from Donald Trump's personal account, and he donated himself

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Speaker 1: to was to the to this own campaign. But I'll

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Speaker 1: tell you it's his aggression is getting more people to cheer,

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Speaker 1: more people to wake up, more people to understand how

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Speaker 1: phony and corrupt the press is. And it's sort of

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Speaker 1: culminating here in this massive crescendo. Yesterday the New York

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Speaker 1: Times phony story about women Katie Kuric. Can you imagine

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Speaker 1: inserting nine dead air seconds to to make it seem

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Speaker 1: like somebody didn't have an answer when they had an

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Speaker 1: immediate answer. It's unbelievable. Now, maybe the the net result

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Speaker 1: of this would be the media realizes they are biased.

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Speaker 1: Don't hold your breath. Three quarters of the American people

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Speaker 1: think reporters are biased, and they are. And that was

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Speaker 1: what Trump was what he tapped into solidly yesterday. You know,

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Speaker 1: he's all right, seventy of Americans distrust the press. He

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Speaker 1: pointed out the distrust. He legitimized the distrust, and he

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Speaker 1: said he's not gonna take that crap anymore. And I'm

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Speaker 1: gonna tell you something. This smart thing for him to do.

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Speaker 1: It used to be, oh, you can't fight people that

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Speaker 1: have barrels and barrels of ink. Well yeah, you actually can.

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Speaker 1: You can fight them. You can fight them on Twitter,

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Speaker 1: on Instagram, on Facebook, on talk radio, on Fox, and

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Speaker 1: you can get your your message out a million other ways.

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Speaker 1: By the way, Hillary better be ready. I was reading

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Speaker 1: a story today. Democrats are freaking out. She's running a

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Speaker 1: conventional campaign in an unconventional year. And that's not gonna

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Speaker 1: work this year. I don't think we'll see. You know,

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Speaker 1: attention to detail is critical when you own your own business.

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Speaker 1: That's why you need to use legal zoom dot com now.

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Speaker 1: They take care of all the legal details so you

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Speaker 1: can focus on growing your business. You already know that

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Speaker 1: legal zoom is a great way to start your business

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Speaker 1: and they've helped over one million people get up and

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Speaker 1: started the right way. But there's more to running your

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Speaker 1: business than getting started. Supplier and customer contracts come with

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Speaker 1: every state has its own employment laws, so don't spend

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Speaker 1: your valuable time researching laws and reading small print. Let

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Speaker 1: the experts at legal zoom dot com handle this. They

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Speaker 1: the best legal answers for your day to day questions.

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Speaker 1: check out and save even more. Legal zoom dot com

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Speaker 1: but you gotta love this. Bernie Sanders, the self proclaimed

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Speaker 1: champion of socialism, was asked over the weekend to explain

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Speaker 1: the harrowing economic collapse of Venezuela, not to mention several

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Speaker 1: other socialists out the American countries and anyway, the free

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Speaker 1: stuff for everybody presidential candidate. He's kind of caught flatfooted.

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Speaker 1: He didn't have an answer. You didn't want to talk

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Speaker 1: about it, you know. So, in other words, we have

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Speaker 1: irrefutable evidence that the economic system that so many young

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Speaker 1: people want free college, free, free, free, free, free, that

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Speaker 1: Bernie Sanders raves about in reality is a staggering failure.

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Speaker 1: And he has no response. The question came from Univision.

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Speaker 1: I'm sure you know about this topic. Various leftist governments,

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Speaker 1: especially populists, are in serious trouble in Latin America. The

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Speaker 1: socialist model in Venezuela has the country near collapse, Argentina, Brazil.

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Speaker 1: How do you explain the failure? I'm sure you're interested

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Speaker 1: in that here. His response was, I'm very interested, but

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Speaker 1: right now I'm running for president of the United States,

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Speaker 1: where you're running on that platform. You dope anyway, But

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Speaker 1: Univision goes so you don't have an opinion about the

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Speaker 1: crisis in Venezuela. Of course I have an opinion, but

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Speaker 1: as I said, I'm focused on my campaign. Wow, that's

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Speaker 1: not an answer. A lot of pundits have been claiming

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Speaker 1: lately that Donald Trump and Hillary Clinton have a problem

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Speaker 1: in the honesty Department. Turns out that's not the way

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Speaker 1: voters are seeing it. Rasmussen laid his poll donald Trump

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Speaker 1: more honest than Hillary by more than a two to

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Speaker 1: one margin. Oops. I think people have figured out Hillary

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Speaker 1: is a liar. The State Department had to admit today

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Speaker 1: that a press conference that was on video was purposely

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Speaker 1: edited and altered to remove the portion of the discussion

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Speaker 1: about the Iranian nuclear talks after a State Department official

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Speaker 1: asked that it be edited out. John Kirby's announcement contradicts

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Speaker 1: the position that was held by the Department for the

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Speaker 1: last three weeks, during which officials said the video was

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Speaker 1: missing because of a glitch. Well, they got caught. Kirby

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Speaker 1: said officials didn't know who asked for the video to

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Speaker 1: be and of course they don't know. That'll be another

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Speaker 1: ten year congressional investigation to get to the truth of that.

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Speaker 1: Here's more evidence, by the way, that socialism doesn't work.

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Speaker 1: The couple of weeks ago, Betsy McCoy, she's been so

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Speaker 1: adamant and so on top of I mean, for years

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Speaker 1: when we were debating Obamacare, she carried the whole bill

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Speaker 1: into the studio into the TV studio, underline highlighted she

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Speaker 1: read it. She's the only one that I know that

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Speaker 1: read and read it and read it and read it

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Speaker 1: and knows it. Anyway, she reported on two studies that

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Speaker 1: showed that since the implementation of Obamacare, Now, remember what

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Speaker 1: you were promised, you keep your doctor, you keep your plan,

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Speaker 1: average family saves twenty dollars per family per year. Well,

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Speaker 1: she found since its implementation, seventeen thousand seniors have died prematurely,

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Speaker 1: just in California due to ration care. Remember Sarah Palin

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Speaker 1: was mocked for using the term death panels. Anyway, So

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Speaker 1: you get a headline in the New York Times, quote

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Speaker 1: the first rise in US death rate in years surprises

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Speaker 1: the experts. Oh guess what this year? You know, this

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Speaker 1: totally unexpected rise in in the death rate. You don't

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Speaker 1: want to know when it started in you know what?

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Speaker 1: The year represented the very first year Obamacare was fully implemented.

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Speaker 1: Of course, the times they're not going to make that connection.

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Speaker 1: They're mystified over what could possibly be causing need roumatic

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Speaker 1: turnaround in the death rate. Now, the death rate in

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Speaker 1: the United States rose last year for the first time

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Speaker 1: in a decade, according to federal data, a rare increase,

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Speaker 1: driven in part by more people dying from drug overdoses, suicides,

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Speaker 1: and Alzheimer's. The death rate from heart disease long and

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Speaker 1: decline edged up slightly now. Death rates, measured as the

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Speaker 1: number of deaths per one thousand people, have been declining

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Speaker 1: for years because of the improvements and in health and

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Speaker 1: disease management medical technology. Recent research is documented a sharp

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Speaker 1: rise in death rates amongst certain groups, in particular less

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Speaker 1: educated whites, who have been the hardest hit by the

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Speaker 1: prescription drug epidemic. Increases in the entire population are relatively rare.

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Speaker 1: Federal researchers caution that it was too early to tell

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Speaker 1: whether the rising mortality rate had pushed up the overall

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Speaker 1: national death rate, but they said the rise was real

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Speaker 1: and while it was premature to ringing along arm now,

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Speaker 1: if it continues, it could be a signal of distress

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Speaker 1: in the health of the Nation. No, no connection to Obamaca,

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Speaker 1: just a mirror coincidence. That's all these things are. Now,

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Speaker 1: you know how the media has gone after Trump on

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Speaker 1: women debunked, Katie kirk or nine second dead air bit Telemundo, No, no, no,

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Speaker 1: could you guys? I want you guys to sit. Yeah,

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Speaker 1: hold the Mexican flag out this way and hang on.

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Speaker 1: I'm gonna shoot it for the newscast. They're caught. So

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Speaker 1: now the latest thing is you've got this liberal judge

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Speaker 1: in New York and this ambitious what attorney general in

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Speaker 1: New York that's trying to make a name for himself

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Speaker 1: going after this Trump University. Now we've had Michael Conan

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Speaker 1: about this very issue. Trump's attorney and some of the

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Speaker 1: people involved in the lawsuit. Guess what they wrote rave

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Speaker 1: reviews about Trump University and the vast majority of people

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Speaker 1: that didn't pay the premium rate to get the full

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Speaker 1: on course they paid, you know, for particular area of

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Speaker 1: interest like real estate. Whatever had happened to me? Anyway,

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Speaker 1: it came to light that the law firm appointed by

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Speaker 1: Judge Gonzalo Curial to represent a plain of in the

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Speaker 1: Trump University class action has another connection to Hillary Clinton

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Speaker 1: beyond the campaign contribution from the firm chairman. Now Law

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Speaker 1: News didn't mention the firm's connection to the Trump University case.

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Speaker 1: The information was apparently retrieved from a Washington Post database

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Speaker 1: with the Clinton financial filings on file. It seems that

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Speaker 1: Robbin's Gellers paid the Clinton's nearly a half a million

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Speaker 1: dollars in less than a year for speeches. So one

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Speaker 1: of the law firms picked by the judge in the

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Speaker 1: Trump University case, the very judge Donald Trump accuses by

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Speaker 1: name of anti Trump bias, awarded this firm the case

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Speaker 1: after Bill and Hillary had been paid four fifty thousand

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Speaker 1: dollars for two speeches. The way, I give credit to

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Speaker 1: Jeffrey Lord for breaking that story. That was huge. I'm like, wow,

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Speaker 1: that's big. Um. Oh, and Bill Crystal's candidate. Who's this

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Speaker 1: guy again? David French? David French. I bet you there's

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Speaker 1: not one person in this audience who knows who David French.

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Speaker 1: And now we do because we're a bunch of nerds

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Speaker 1: and we actually you know, well, I'd like to read

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Speaker 1: Eliana Johnson. She used to work for me. She does

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Speaker 1: a really good job. There are other people, Mark Stein.

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Speaker 1: I guess Stein is off n r oh, now, isn't he? Yeah? Anyway,

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Speaker 1: it's on Hannity dot Com as well. We've built up

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Speaker 1: a big news site now. It's really growing in popularity.

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Speaker 1: If you haven't seen the all new Hannity dot Com,

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Speaker 1: you gotta go. It's we're putting stuff up there every

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Speaker 1: minute of every day anyway. Two Republicans interviewed by Bloomberg,

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Speaker 1: which first reported the news that French was the guy

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Speaker 1: that Bill Crystal picked. I don't mean the laugh, it's funny. Anyway,

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Speaker 1: He hasn't made his final decision. French declined to comment

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Speaker 1: to Bloomberg. So Bill Crystal's know, great Hope, great white

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Speaker 1: knight Hope over here won't even say he's ready to

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Speaker 1: run Night and Shining Armor. It looks like it's back

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Speaker 1: to the drawing board for the never trumpers. Never mind

426
00:25:11,640 --> 00:25:14,080
Speaker 1: the fact that they can't even get on the ballot

427
00:25:14,080 --> 00:25:19,800
Speaker 1: in Texas. Oh my gosh, it's unbelievable. You can't make

428
00:25:19,840 --> 00:25:22,919
Speaker 1: this stuff up. So all right, let's get to our

429
00:25:22,920 --> 00:25:28,560
Speaker 1: busy phones here today. Let's say hi to uh Frank

430
00:25:28,720 --> 00:25:30,800
Speaker 1: Is in North Carolina. What's up, Frank? How are you?

431
00:25:30,840 --> 00:25:35,040
Speaker 1: My friend? Well? I'm doing great. Thanks for taking my call. Um,

432
00:25:35,400 --> 00:25:37,159
Speaker 1: you pretty much kind of hit the nail on the

433
00:25:37,200 --> 00:25:39,440
Speaker 1: hand with what you're saying about the media. I'm I've

434
00:25:39,480 --> 00:25:43,000
Speaker 1: been traveling this weekend and it seems like every story

435
00:25:43,040 --> 00:25:46,280
Speaker 1: I'm seeing about Trump is uh, it's it's slanted, and

436
00:25:46,320 --> 00:25:50,520
Speaker 1: it's it's obnoxiously obvious. Um, especially with the donations to

437
00:25:50,600 --> 00:25:53,000
Speaker 1: the v A. I mean, how much has Hillary given

438
00:25:53,000 --> 00:25:55,560
Speaker 1: a v A. I just it just bothers me. That's

439
00:25:55,600 --> 00:25:59,520
Speaker 1: all I want to say. I appreciate it. Thank you, alright.

440
00:25:59,520 --> 00:26:01,520
Speaker 1: Eight D n'm for one. Sean is a toll free

441
00:26:01,520 --> 00:26:03,600
Speaker 1: telephone number you want to be a part of the program.

442
00:26:03,640 --> 00:26:08,120
Speaker 1: Anthony is in Johnson City, Tennessee. Anthony. How are you? Yeah, Sean,

443
00:26:08,160 --> 00:26:11,480
Speaker 1: how are you doing to that? I'm good? What's going on? Well?

444
00:26:11,520 --> 00:26:13,120
Speaker 1: The reason why I call it is because I wanted

445
00:26:13,160 --> 00:26:14,960
Speaker 1: to talk about something that I know it's a little

446
00:26:15,040 --> 00:26:16,920
Speaker 1: off be but I wanted to talk about the Vince

447
00:26:16,920 --> 00:26:19,280
Speaker 1: Foster case or just a second, and also some of

448
00:26:19,320 --> 00:26:21,760
Speaker 1: the other things that the mainsterm media is not going

449
00:26:21,800 --> 00:26:24,240
Speaker 1: to tell you. And you know the thing that bothers

450
00:26:24,240 --> 00:26:26,280
Speaker 1: me the most above the Vince Foster cases, that all

451
00:26:26,320 --> 00:26:28,840
Speaker 1: of the mainstream media makes it seem like this is

452
00:26:28,840 --> 00:26:32,280
Speaker 1: a case that was on a suicide, that there's no

453
00:26:32,400 --> 00:26:35,720
Speaker 1: fact supporting a cover upper murder, when in reality it's

454
00:26:35,760 --> 00:26:38,440
Speaker 1: the exact opposite. You know, there was noble who ever

455
00:26:38,520 --> 00:26:40,960
Speaker 1: found at Vince at the side where they found Vince

456
00:26:40,960 --> 00:26:44,159
Speaker 1: Foster in Fort Marcy Park, very little blood. Uh. Some

457
00:26:44,200 --> 00:26:45,879
Speaker 1: of the first e m T s that were on

458
00:26:45,920 --> 00:26:48,800
Speaker 1: the scene said that they saw a second wound to

459
00:26:49,000 --> 00:26:52,040
Speaker 1: Vince Foster's neck. And in fact, the person that Kenneth

460
00:26:52,040 --> 00:26:55,560
Speaker 1: Starr hired, who was actually a liberal, his name was

461
00:26:55,640 --> 00:26:59,320
Speaker 1: mcguel Rodriguez. He hired him as assistant Special Council to

462
00:26:59,480 --> 00:27:01,879
Speaker 1: help him closed the case and rule with a suicide,

463
00:27:02,280 --> 00:27:07,600
Speaker 1: resigned And I recently came across online um macgil Rodriguez's

464
00:27:07,760 --> 00:27:10,680
Speaker 1: resignation letter, and he pretty much says in this resignation

465
00:27:10,760 --> 00:27:13,760
Speaker 1: letter all the reasons why he resigned in that basically

466
00:27:13,920 --> 00:27:16,280
Speaker 1: he brought up all these sacks that he found that

467
00:27:16,359 --> 00:27:19,040
Speaker 1: supported murder and supporter to cover up. And once he

468
00:27:19,080 --> 00:27:22,080
Speaker 1: brought these uh to ken Starr, he was pretty much

469
00:27:22,119 --> 00:27:24,560
Speaker 1: shut in his stone wall at every turn and he

470
00:27:24,640 --> 00:27:27,480
Speaker 1: wasn't allowed to investigate any further. And so he quit

471
00:27:27,560 --> 00:27:30,480
Speaker 1: the case. And also you've got like the FBI, they

472
00:27:30,560 --> 00:27:35,080
Speaker 1: misstated all of the key witnesses uh statements, like Patrick Nolton,

473
00:27:35,400 --> 00:27:38,560
Speaker 1: who um was harassed by the SBI and who was

474
00:27:38,640 --> 00:27:42,200
Speaker 1: actually there at force Fort Marcy Park at four thirty

475
00:27:42,359 --> 00:27:45,200
Speaker 1: on the day that Vince Foster died and saw another

476
00:27:45,280 --> 00:27:48,960
Speaker 1: car there that was not Vince Foster's. Vince Foster drove

477
00:27:49,040 --> 00:27:54,040
Speaker 1: a gray or silver eight car and the car that

478
00:27:54,119 --> 00:27:56,600
Speaker 1: he saw was a red car. And when he went

479
00:27:56,640 --> 00:27:59,120
Speaker 1: to the interview, Antony, let me let me sew you down.

480
00:27:59,560 --> 00:28:01,520
Speaker 1: Go ahead. It's been a long time since we talked

481
00:28:01,520 --> 00:28:05,399
Speaker 1: about Vince Foster. This issue, and I'm not using a

482
00:28:05,480 --> 00:28:08,680
Speaker 1: pun here is dead. This issue is not going anywhere.

483
00:28:09,200 --> 00:28:12,320
Speaker 1: If people are if people are interested in reading about it,

484
00:28:12,520 --> 00:28:15,480
Speaker 1: who was it? Chris Ruddy years ago I wrote a

485
00:28:15,480 --> 00:28:18,800
Speaker 1: book that the Strange Death of Vince Foster. I've been

486
00:28:18,800 --> 00:28:20,639
Speaker 1: many many years since I looked at it. If you

487
00:28:20,680 --> 00:28:22,680
Speaker 1: want to look at it, if you have interest in it,

488
00:28:22,680 --> 00:28:24,320
Speaker 1: It's not going to be a part of the campaign.

489
00:28:24,760 --> 00:28:28,280
Speaker 1: I mean, we have we have barely enough capability of

490
00:28:28,400 --> 00:28:31,440
Speaker 1: keeping people focused on the email scandal because they don't

491
00:28:31,480 --> 00:28:34,320
Speaker 1: even understand that, you know, And this is the strange

492
00:28:34,359 --> 00:28:37,440
Speaker 1: thing about this this whole election cycle. There's a whole

493
00:28:37,480 --> 00:28:39,479
Speaker 1: generation of people out there. They don't even know who

494
00:28:39,560 --> 00:28:43,120
Speaker 1: wanted to Broderick Is or Kathleen will he Is or

495
00:28:43,160 --> 00:28:46,440
Speaker 1: Paula Jones Is. They don't know that Clinton was impeached,

496
00:28:46,760 --> 00:28:48,960
Speaker 1: they don't know that he was this barred, They don't

497
00:28:48,960 --> 00:28:51,560
Speaker 1: know that he paid a huge amount of money in

498
00:28:51,600 --> 00:28:54,520
Speaker 1: that case. And I know that people didn't like the

499
00:28:54,560 --> 00:28:57,920
Speaker 1: way the Republicans handled it, but I gotta tell you something,

500
00:28:57,960 --> 00:29:01,320
Speaker 1: his actions and and the lies and cover RUPs. You

501
00:29:01,400 --> 00:29:04,240
Speaker 1: almost have to be an expert on the Clintons to

502
00:29:04,360 --> 00:29:07,200
Speaker 1: understands it all. Now we're gonna go through it, will

503
00:29:07,240 --> 00:29:10,760
Speaker 1: remind people, will make sure you're informed by election day.

504
00:29:10,880 --> 00:29:13,560
Speaker 1: We'll keep bringing up issue by issue as they come up,

505
00:29:13,600 --> 00:29:16,000
Speaker 1: and and some issues will will bring up because we

506
00:29:16,040 --> 00:29:18,800
Speaker 1: think you should know. But I'm telling you the media

507
00:29:18,880 --> 00:29:20,440
Speaker 1: is not going to do it. And that's kind of

508
00:29:20,440 --> 00:29:24,080
Speaker 1: my focus today. Uh. And let's go to what I'm sorry,

509
00:29:24,240 --> 00:29:28,680
Speaker 1: Chase some Chances in Grand Rivers, Kentucky. Hey Chance, how

510
00:29:28,720 --> 00:29:34,160
Speaker 1: are you? Hi? Han? Hey? Han Kennedy? Sorry, uh uh,

511
00:29:34,720 --> 00:29:38,200
Speaker 1: I want to talk about how Trump has been harassed

512
00:29:38,200 --> 00:29:41,120
Speaker 1: by the liberal media pretty much since day one when

513
00:29:41,160 --> 00:29:44,280
Speaker 1: he started his candidacy. You know, if it wasn't the

514
00:29:44,720 --> 00:29:48,040
Speaker 1: million dollars small loan to disconnect him from his uh

515
00:29:48,240 --> 00:29:51,760
Speaker 1: public then and now it's that he's not he's not

516
00:29:51,840 --> 00:29:56,240
Speaker 1: raising money for veterans. It's it's just crazy to think

517
00:29:56,320 --> 00:30:00,280
Speaker 1: that the media, who we rely on, who we who

518
00:30:00,320 --> 00:30:03,120
Speaker 1: we go to for our news, is so against one

519
00:30:03,160 --> 00:30:08,840
Speaker 1: candidate and so for another. Um. It just blows my mind. Uh,

520
00:30:08,880 --> 00:30:11,400
Speaker 1: they've got an agenda. But you know something, I think

521
00:30:11,440 --> 00:30:14,800
Speaker 1: we might reach a tipping point here. I think there's

522
00:30:14,960 --> 00:30:18,400
Speaker 1: enough out here that will prove to anybody that may

523
00:30:18,480 --> 00:30:22,880
Speaker 1: have even any lingering doubt whatsoever, that the media is

524
00:30:23,400 --> 00:30:29,680
Speaker 1: institutionally biased, abusively so, and that they purposely misinformed. It's

525
00:30:29,720 --> 00:30:32,800
Speaker 1: the stories they cover, the stories they ignore. It's the

526
00:30:32,840 --> 00:30:35,160
Speaker 1: way they cover them. It's the way they manipulate. Look

527
00:30:35,160 --> 00:30:37,600
Speaker 1: at the women manipulated in the New York Times story.

528
00:30:38,040 --> 00:30:41,080
Speaker 1: Look at the Katie Kirk manipulating an answer nine seconds

529
00:30:41,080 --> 00:30:44,480
Speaker 1: of dead air added. Look at the Telemundo case of

530
00:30:44,480 --> 00:30:49,680
Speaker 1: of people literally being choreographed by the photographer by the

531
00:30:49,720 --> 00:30:54,360
Speaker 1: cameraman for Telemundo News. It's it's pathetic. These are things

532
00:30:54,440 --> 00:30:56,280
Speaker 1: we've known for years, but a lot of people, I

533
00:30:56,320 --> 00:30:59,040
Speaker 1: guess didn't believe. Look at the lack of coverage of

534
00:30:59,040 --> 00:31:02,960
Speaker 1: Obama and his radicalism and his background and airs endorned

535
00:31:03,000 --> 00:31:07,480
Speaker 1: and right and everything in between. Melas and Naples, Florida,

536
00:31:07,560 --> 00:31:12,080
Speaker 1: Fox News Radio and Fort Myers. What's going on? High? Hey,

537
00:31:12,080 --> 00:31:14,080
Speaker 1: thanks for taking my call, Sean. I just wanted to

538
00:31:14,120 --> 00:31:17,320
Speaker 1: bring up a real quick point. Uh, Donald Trump raised

539
00:31:17,400 --> 00:31:20,320
Speaker 1: how much money for the veterans? Almost six million? Yeah?

540
00:31:21,400 --> 00:31:23,680
Speaker 1: How much money did Hillary clint Rays for the veterans?

541
00:31:23,720 --> 00:31:26,360
Speaker 1: Actually it was in the news today, seventy dollars the

542
00:31:26,360 --> 00:31:29,560
Speaker 1: Clintons gave from the Clinton Foundation, which is raised billions,

543
00:31:30,640 --> 00:31:33,400
Speaker 1: So they gave seventy dollars. And See, this is the

544
00:31:33,400 --> 00:31:35,520
Speaker 1: problem that I have with the media, especially, and you're

545
00:31:35,600 --> 00:31:37,920
Speaker 1: hitting the nail on news, you're hitting the nail on

546
00:31:37,960 --> 00:31:39,640
Speaker 1: top of the head. But what I can't stand about

547
00:31:39,640 --> 00:31:42,240
Speaker 1: the media the most is how they pander. They say

548
00:31:42,320 --> 00:31:45,800
Speaker 1: that conservatives don't want the black boat. But when conservatives

549
00:31:45,840 --> 00:31:47,520
Speaker 1: go after the black boat, then they say, well, why

550
00:31:47,520 --> 00:31:49,800
Speaker 1: do they really why are they really there? They say,

551
00:31:49,800 --> 00:31:52,680
Speaker 1: conservatives don't care about the veterans. Conservatives give money to

552
00:31:52,720 --> 00:31:56,239
Speaker 1: the veterans. I wish that the conservative media would be

553
00:31:56,280 --> 00:32:00,000
Speaker 1: more aggressive and hopefully follow Donald Trump's lead in confront

554
00:32:00,000 --> 00:32:04,000
Speaker 1: watching these bullies in the liberal media. I agree. I

555
00:32:04,000 --> 00:32:06,920
Speaker 1: think there's a lesson to be learned here. Listen. I

556
00:32:07,160 --> 00:32:09,440
Speaker 1: can't tell you how many times I get calls. They

557
00:32:09,480 --> 00:32:13,200
Speaker 1: actually have stopped calling it, ABC, NBC and CBS because

558
00:32:13,200 --> 00:32:16,200
Speaker 1: I always say no. And even the New York Times

559
00:32:16,240 --> 00:32:19,280
Speaker 1: I say no. Even the Washington Post they called me today,

560
00:32:19,320 --> 00:32:21,520
Speaker 1: I said no, I don't. Why do I want to

561
00:32:21,520 --> 00:32:23,960
Speaker 1: tell because then I gotta deal with these idiots and

562
00:32:24,000 --> 00:32:27,320
Speaker 1: they have a predetermined story. Anyway, I have my own

563
00:32:27,440 --> 00:32:30,120
Speaker 1: media outlet right here. I have it on Twitter, I

564
00:32:30,120 --> 00:32:32,200
Speaker 1: have it on Facebook, I have in it on TV.

565
00:32:32,880 --> 00:32:34,680
Speaker 1: I don't need these people to get my message out,

566
00:32:34,760 --> 00:32:36,880
Speaker 1: manipulate what I say, or my point of view, or

567
00:32:36,920 --> 00:32:40,160
Speaker 1: whatever nuanced little little criticism they may have. I don't

568
00:32:40,160 --> 00:32:43,920
Speaker 1: care what they think. I just don't. We don't need

569
00:32:43,960 --> 00:32:46,920
Speaker 1: them anymore. That's a good thing. I want to turn

570
00:32:46,960 --> 00:32:49,400
Speaker 1: to the Inspector General's report about your private email server,

571
00:32:49,520 --> 00:32:51,440
Speaker 1: which you you said you set up for convenience. In

572
00:32:51,440 --> 00:32:54,560
Speaker 1: an editorial out today, USA Today called this quote a

573
00:32:54,600 --> 00:32:58,160
Speaker 1: threat to national security, one that she repeatedly ignored despite

574
00:32:58,240 --> 00:33:00,640
Speaker 1: multiple warnings, and they added that you are now quote

575
00:33:00,760 --> 00:33:03,000
Speaker 1: going to have to convince voters that she can put

576
00:33:03,000 --> 00:33:06,520
Speaker 1: the national security of the United States above her own

577
00:33:06,560 --> 00:33:09,760
Speaker 1: short term self interest. Do you see this as a

578
00:33:09,840 --> 00:33:12,320
Speaker 1: challenge that you have to face to convince voters you'll

579
00:33:12,360 --> 00:33:16,960
Speaker 1: put national security ahead of your own interests. Well, I

580
00:33:16,960 --> 00:33:22,120
Speaker 1: I think that is obvious. I always have And the report,

581
00:33:22,400 --> 00:33:25,479
Speaker 1: just to go back to the actual report, makes it

582
00:33:25,560 --> 00:33:29,240
Speaker 1: clear that personal email use was the practice under other

583
00:33:29,320 --> 00:33:32,400
Speaker 1: secretaries of State and that the rules that they are

584
00:33:32,400 --> 00:33:36,120
Speaker 1: now referencing we're not clarified until after I had left.

585
00:33:36,160 --> 00:33:39,040
Speaker 1: But look, I've said many times it was still a mistake,

586
00:33:39,120 --> 00:33:42,080
Speaker 1: and if I could go back, I would do it differently. Uh.

587
00:33:42,080 --> 00:33:45,680
Speaker 1: And I understand people may have concerns about this, but

588
00:33:45,960 --> 00:33:48,680
Speaker 1: I hope voters look at the full picture of everything

589
00:33:48,720 --> 00:33:51,600
Speaker 1: I've done in my career and the full threat posed

590
00:33:51,640 --> 00:33:54,680
Speaker 1: by a Donald Trump presidency, and if they do, I

591
00:33:54,800 --> 00:33:57,040
Speaker 1: have faith in the American people that they will make

592
00:33:57,080 --> 00:33:59,240
Speaker 1: the right choice here. All right. That was Hillary on

593
00:33:59,400 --> 00:34:02,440
Speaker 1: with Jake Apper on CNN. So all the talk about, Wow,

594
00:34:02,560 --> 00:34:06,080
Speaker 1: they've got a libertarian candidate, Gary Johnson Well, there's an

595
00:34:06,120 --> 00:34:08,239
Speaker 1: exciting figure for you. I'm sure he's gonna get a

596
00:34:08,440 --> 00:34:11,040
Speaker 1: half of percent of the vote with Bill Weld, and

597
00:34:11,080 --> 00:34:14,799
Speaker 1: you've got oh Bill Crystal might put forth David French. Well,

598
00:34:14,800 --> 00:34:17,479
Speaker 1: there's another big name for you that's probably gonna take

599
00:34:17,520 --> 00:34:20,319
Speaker 1: so many votes away from the Republicans. And of course

600
00:34:20,360 --> 00:34:23,319
Speaker 1: Trump is controversial. Well, people aren't paying a lot of

601
00:34:23,360 --> 00:34:27,960
Speaker 1: attention to Hillary Clinton. We're still awaiting the FBI investigation

602
00:34:28,040 --> 00:34:30,880
Speaker 1: and the report over Hillary's email scandal. In spite of

603
00:34:30,880 --> 00:34:33,479
Speaker 1: the way she spends this, it's just not true. After

604
00:34:33,520 --> 00:34:36,680
Speaker 1: promising that her top aids would cooperate with the email

605
00:34:36,719 --> 00:34:40,480
Speaker 1: email Gate investigation, had Cheryl Mills, one of her you know,

606
00:34:40,680 --> 00:34:44,839
Speaker 1: top aids, and the attorneys involved and also White House

607
00:34:44,880 --> 00:34:48,960
Speaker 1: attorneys UH stonewalling their way through an under oath deposition.

608
00:34:49,040 --> 00:34:52,200
Speaker 1: On Friday, we had the Inspector General report where yes,

609
00:34:52,320 --> 00:34:56,560
Speaker 1: former secretaries of State they cooperated Hillary Clinton didn't cooperate.

610
00:34:56,719 --> 00:34:59,759
Speaker 1: Lawyers for Hillary Clinton age Cheryl Mills, the State to

611
00:34:59,840 --> 00:35:03,480
Speaker 1: part artment and UH this group Judicial Watch we're tangling.

612
00:35:03,600 --> 00:35:06,480
Speaker 1: Last week, as Mills was testifying at a deposition in

613
00:35:06,480 --> 00:35:09,720
Speaker 1: a lawsuit related to Clinton's use of a private email server,

614
00:35:09,920 --> 00:35:13,120
Speaker 1: and Mills's attorney kept objecting again and again and again

615
00:35:13,120 --> 00:35:16,719
Speaker 1: and again to a variety of questions. She claims intruded

616
00:35:16,960 --> 00:35:21,399
Speaker 1: on Clinton's attorney client privilege by asking about Mills work

617
00:35:21,480 --> 00:35:24,720
Speaker 1: for Clinton as a private lawyer after serving four years

618
00:35:24,719 --> 00:35:27,479
Speaker 1: as Clinton's chief of staff at the State Department. Oh great,

619
00:35:27,480 --> 00:35:29,239
Speaker 1: so you just hire her as a lawyers. Can't be

620
00:35:29,239 --> 00:35:31,880
Speaker 1: a witness. At the same time, I object right now,

621
00:35:31,920 --> 00:35:35,440
Speaker 1: I object right now, I'm asking who represented Secretary Clinton.

622
00:35:35,560 --> 00:35:37,279
Speaker 1: And then, of course they tried to deal with the

623
00:35:37,360 --> 00:35:40,080
Speaker 1: question of Brian Pagliano, the guy who set up the

624
00:35:40,160 --> 00:35:43,400
Speaker 1: email server for Hillary Clinton in the mom and pop

625
00:35:43,440 --> 00:35:46,880
Speaker 1: shop in a bathroom someplace, which we all know was

626
00:35:46,920 --> 00:35:49,759
Speaker 1: in fact compromised. So you've got that happening. Then of

627
00:35:49,800 --> 00:35:52,800
Speaker 1: course we have Hillary speeches. She made twenty one million

628
00:35:52,800 --> 00:35:55,960
Speaker 1: dollars in a two year period speaking to special interest groups.

629
00:35:56,000 --> 00:35:58,960
Speaker 1: Many that are involved in banking in Wall Street also

630
00:35:59,000 --> 00:36:02,400
Speaker 1: have new questions of about Hillary now stonewalling, answering questions

631
00:36:02,400 --> 00:36:05,400
Speaker 1: about Goldman Sachs and an investment with her son in

632
00:36:05,480 --> 00:36:08,360
Speaker 1: law and his hedge fund. You've got a California primary

633
00:36:08,400 --> 00:36:11,480
Speaker 1: coming up for Hillary that she may lose to Bernie Sanders.

634
00:36:11,600 --> 00:36:15,160
Speaker 1: We found out today Hillary only donated seventy thousand dollars

635
00:36:15,200 --> 00:36:18,440
Speaker 1: to veterans. How dare she send veterans to go protest

636
00:36:18,520 --> 00:36:20,799
Speaker 1: in front of Donald Trump's Trump Tower in New York.

637
00:36:21,280 --> 00:36:24,120
Speaker 1: She has a long record of lying to keep the

638
00:36:24,120 --> 00:36:26,560
Speaker 1: public in the dark. That's gonna be a big problem

639
00:36:26,560 --> 00:36:29,560
Speaker 1: in this campaign. Have Doug Shoon saying Hillary might not

640
00:36:29,640 --> 00:36:33,160
Speaker 1: even be the nominee if Bernie wins California. That's a

641
00:36:33,160 --> 00:36:36,360
Speaker 1: big issue. And um, she hasn't held a single press

642
00:36:36,360 --> 00:36:39,279
Speaker 1: conference in and the only way she's gonna win the

643
00:36:39,320 --> 00:36:42,120
Speaker 1: nomination and has been appearing to win the nomination is

644
00:36:42,120 --> 00:36:45,320
Speaker 1: through a corrupt super delegate process with the Democrats anyway.

645
00:36:45,360 --> 00:36:48,160
Speaker 1: Joining us now to discuss this and more is Danielle McLaughlin.

646
00:36:48,400 --> 00:36:51,440
Speaker 1: He's an attorney and a constitutional expert. Co wrote The

647
00:36:51,440 --> 00:36:54,880
Speaker 1: Federalist Society How Conservatives took the Law back from Liberals.

648
00:36:55,160 --> 00:36:58,560
Speaker 1: Charlie Hurders with us is a journalist political commentator working

649
00:36:58,600 --> 00:37:02,000
Speaker 1: for the Washington Times. He's a columnists there, Fox News contributor,

650
00:37:02,040 --> 00:37:04,680
Speaker 1: Bright Part News contributor, And welcome all of you to

651
00:37:04,760 --> 00:37:08,560
Speaker 1: the program. Hi, Sean, Danielle, you've actually read the entire

652
00:37:08,680 --> 00:37:12,280
Speaker 1: deposition you found. Well, you're right, there are a number

653
00:37:12,280 --> 00:37:15,480
Speaker 1: of objections, as you rightly say. Um, you know, I

654
00:37:15,520 --> 00:37:17,480
Speaker 1: read it and I pretty much thought that it was

655
00:37:17,840 --> 00:37:20,360
Speaker 1: pretty not consequential in many respects, and I wanted to

656
00:37:20,400 --> 00:37:23,279
Speaker 1: address your idea about the objections. First, you know, she

657
00:37:23,400 --> 00:37:25,719
Speaker 1: was in the deposition. Sherry Mills was in the deposition

658
00:37:25,800 --> 00:37:29,719
Speaker 1: for a very circumscribed reason which relates to Fourier and

659
00:37:29,760 --> 00:37:33,640
Speaker 1: whether Clinton and any member of her team purposefully avoided

660
00:37:33,680 --> 00:37:36,160
Speaker 1: Foier by the use of the email server. And some

661
00:37:36,239 --> 00:37:38,480
Speaker 1: of the questions that were directed to her were truly

662
00:37:38,600 --> 00:37:41,880
Speaker 1: protected by the attorney client privilege because Sheryl Mills was

663
00:37:41,960 --> 00:37:44,920
Speaker 1: involved in collecting the emails that were turned over to

664
00:37:44,960 --> 00:37:49,080
Speaker 1: the Department of State after Clinton left the State Department.

665
00:37:49,120 --> 00:37:52,759
Speaker 1: So those are all legitimate, perfectly legitimate objections to make

666
00:37:53,080 --> 00:37:56,960
Speaker 1: okay understood. But we also had an Inspector General's report.

667
00:37:57,000 --> 00:38:00,279
Speaker 1: Why didn't Hillary participate? If she's so forthcoming as you claim,

668
00:38:00,400 --> 00:38:02,799
Speaker 1: she's been a tough position, and I honestly, if I

669
00:38:02,880 --> 00:38:05,200
Speaker 1: was her lawyer, which I'm not, I probably would have

670
00:38:05,280 --> 00:38:07,360
Speaker 1: suggested that she did not talk to the o I G.

671
00:38:07,520 --> 00:38:09,880
Speaker 1: And there's a simple reason for that there was a

672
00:38:09,880 --> 00:38:13,319
Speaker 1: criminal we believe in this detegation going on, and the

673
00:38:13,400 --> 00:38:16,840
Speaker 1: focus of her council, the focus of Clinton, should be

674
00:38:17,000 --> 00:38:20,080
Speaker 1: on that. Um. This was an O I G. Inspector

675
00:38:20,120 --> 00:38:24,160
Speaker 1: General report within the state. It specifically looked only at

676
00:38:24,160 --> 00:38:27,520
Speaker 1: the non classified emails and looked at practices and procedures,

677
00:38:27,800 --> 00:38:31,919
Speaker 1: and certainly she did. The practices that we saw from

678
00:38:31,920 --> 00:38:34,759
Speaker 1: her and her team were not appropriate. We saw that

679
00:38:34,800 --> 00:38:37,279
Speaker 1: with horror, We saw that with Secretary Power. So the

680
00:38:37,280 --> 00:38:40,520
Speaker 1: bottom line is, even though she has contradicted herself, even

681
00:38:40,520 --> 00:38:43,520
Speaker 1: though we know that in fact that system was compromised,

682
00:38:43,560 --> 00:38:45,960
Speaker 1: even though we know all those things are true, Hillary

683
00:38:46,080 --> 00:38:49,000
Speaker 1: lied to us repeatedly, just like she lied about Benghazi.

684
00:38:49,200 --> 00:38:51,160
Speaker 1: So she's going to get off the hook. Now, let

685
00:38:51,160 --> 00:38:54,000
Speaker 1: me ask you, this, isn't it her job and isn't

686
00:38:54,040 --> 00:38:57,000
Speaker 1: it the law that she has to protect and preserve

687
00:38:57,280 --> 00:39:01,000
Speaker 1: all classified information? And didn't We learned that she had

688
00:39:01,040 --> 00:39:04,719
Speaker 1: Special Access Program information on her computer which should not

689
00:39:04,760 --> 00:39:07,440
Speaker 1: have been there. I can't speak to the Special Access program.

690
00:39:07,480 --> 00:39:10,239
Speaker 1: I can speak with a fair amount of complexity to

691
00:39:10,280 --> 00:39:14,120
Speaker 1: the city thousand emails that were sent over pursuant to

692
00:39:14,160 --> 00:39:18,239
Speaker 1: the FBI's subpoena and the requirement that she send everything back. Well,

693
00:39:18,400 --> 00:39:20,960
Speaker 1: wait a minute, it should have been sixty emails, but

694
00:39:21,080 --> 00:39:23,759
Speaker 1: she decided which ones were important, and she told us

695
00:39:23,800 --> 00:39:27,240
Speaker 1: that thirty thousand emails were related to yoga, a wedding,

696
00:39:27,280 --> 00:39:30,600
Speaker 1: of funeral, and conversations with her husband Bill. And then

697
00:39:30,640 --> 00:39:32,680
Speaker 1: we found out build as an email, so she lied

698
00:39:32,719 --> 00:39:36,120
Speaker 1: about that too. Well, the vast majority of her communications

699
00:39:36,200 --> 00:39:39,000
Speaker 1: at State were virgal. We're in meetings. We've learned a

700
00:39:39,000 --> 00:39:40,920
Speaker 1: lot about the fact that she didn't use the email

701
00:39:40,960 --> 00:39:43,680
Speaker 1: as frequently as she conducted these kinds of things. We

702
00:39:43,719 --> 00:39:46,200
Speaker 1: do know that she had classified materials, and we do

703
00:39:46,320 --> 00:39:49,160
Speaker 1: know that she sent out a memo to State Department

704
00:39:49,320 --> 00:39:53,680
Speaker 1: employees not to use personal email for work. Isn't that true?

705
00:39:54,080 --> 00:39:57,319
Speaker 1: That is true, and so she violated her own order.

706
00:39:57,440 --> 00:39:59,480
Speaker 1: You know, there were plenty of orders to a plenty

707
00:39:59,480 --> 00:40:02,600
Speaker 1: of rules, I think secretary content, but there are also laws,

708
00:40:02,640 --> 00:40:05,239
Speaker 1: and the law mandates that you have an obligation to

709
00:40:05,320 --> 00:40:08,560
Speaker 1: protect and preserve all of these emails from any type

710
00:40:08,560 --> 00:40:10,520
Speaker 1: of scrutiny. Isn't that true? That is true. But the

711
00:40:10,560 --> 00:40:14,040
Speaker 1: important thing is that the violation of that law, you

712
00:40:14,080 --> 00:40:17,319
Speaker 1: had to show willfulness you had to show willful and knowing, well,

713
00:40:17,400 --> 00:40:20,960
Speaker 1: didn't she wait, didn't she willfully set up a separate

714
00:40:21,040 --> 00:40:23,960
Speaker 1: email account and a separate server And didn't she put

715
00:40:24,000 --> 00:40:26,600
Speaker 1: it separately on a different server account in a bathroom

716
00:40:26,640 --> 00:40:28,640
Speaker 1: of a mom and pop shop. That shows a lot

717
00:40:28,680 --> 00:40:31,000
Speaker 1: of thought went into it, doesn't it. Well, it's not

718
00:40:31,080 --> 00:40:34,160
Speaker 1: clear that she was doing it to boil laws or

719
00:40:34,200 --> 00:40:37,160
Speaker 1: classified information. First thing, she said she never sent a

720
00:40:37,320 --> 00:40:41,880
Speaker 1: received classified information. Then she adjusted that sent or received

721
00:40:42,000 --> 00:40:44,640
Speaker 1: mark classified information. But in fact we learned from the

722
00:40:44,640 --> 00:40:48,560
Speaker 1: Inspector General that she did have classified materials top secret

723
00:40:48,640 --> 00:40:52,520
Speaker 1: and above top secret classification on that computer with Special

724
00:40:52,520 --> 00:40:57,080
Speaker 1: Access Program classification which is above top secret. Born out

725
00:40:57,120 --> 00:40:59,880
Speaker 1: did show that nothing she sent was either not true

726
00:41:00,120 --> 00:41:03,239
Speaker 1: mocks that's not true. That is absolutely false. Charles Hurt,

727
00:41:03,320 --> 00:41:05,959
Speaker 1: I think it is absolutely fascinating and and I'm sure

728
00:41:06,040 --> 00:41:09,040
Speaker 1: that your analysis, Danielle is exactly right in terms of

729
00:41:09,120 --> 00:41:11,800
Speaker 1: legal uh you know, the legal the best legal advice

730
00:41:11,840 --> 00:41:14,200
Speaker 1: for Hillary Clinton. But what I think is also interesting

731
00:41:14,239 --> 00:41:17,080
Speaker 1: about out of that deposition was not just the number

732
00:41:17,080 --> 00:41:19,439
Speaker 1: of times that there were objections, but also the number

733
00:41:19,480 --> 00:41:21,960
Speaker 1: of times that Cheryl Mills just simply said, I don't remember,

734
00:41:22,400 --> 00:41:24,520
Speaker 1: And you know that's obviously you know, in a in

735
00:41:24,600 --> 00:41:27,399
Speaker 1: a deposition like this, a pretty good way to hide

736
00:41:27,520 --> 00:41:29,719
Speaker 1: anything you don't want to answer that you can't say

737
00:41:29,719 --> 00:41:32,640
Speaker 1: objection to. You can just say I don't recall, and

738
00:41:32,680 --> 00:41:35,640
Speaker 1: you know, it sort of raises more questions about what

739
00:41:35,680 --> 00:41:38,480
Speaker 1: are they hiding, what are they trying to conceal? But

740
00:41:38,640 --> 00:41:41,839
Speaker 1: what is the larger question here in my mind is,

741
00:41:42,000 --> 00:41:45,560
Speaker 1: you know, Hillary Clinton is running as as the safe

742
00:41:45,560 --> 00:41:50,080
Speaker 1: alternative to the risky, reckless Donald Trump. Well, my goodness,

743
00:41:50,160 --> 00:41:53,719
Speaker 1: if this isn't risky and reckless her her handling of

744
00:41:53,800 --> 00:41:57,239
Speaker 1: this of the highest secret in the land, then I

745
00:41:57,440 --> 00:41:59,440
Speaker 1: don't know what is. And I think it really undermines

746
00:41:59,560 --> 00:42:02,360
Speaker 1: her ability going in this summer and going into fall,

747
00:42:02,640 --> 00:42:07,319
Speaker 1: you know, positioning herself as the as the responsible alternative

748
00:42:07,360 --> 00:42:10,040
Speaker 1: to Donald Trump. What's your response to that? I mean,

749
00:42:10,080 --> 00:42:12,239
Speaker 1: I agree that there are there are real problems here.

750
00:42:12,360 --> 00:42:14,919
Speaker 1: Going back to your earth point about not being able

751
00:42:14,960 --> 00:42:16,880
Speaker 1: to remember, you have to remember that she has been

752
00:42:16,920 --> 00:42:19,040
Speaker 1: asked about things that happened in two thousand and nine.

753
00:42:19,520 --> 00:42:21,960
Speaker 1: And one of the biggest problems that you can have,

754
00:42:22,120 --> 00:42:24,600
Speaker 1: and this is true for any kind of investigation, is

755
00:42:25,040 --> 00:42:27,160
Speaker 1: if you don't remember. It's always better to say that

756
00:42:27,200 --> 00:42:30,520
Speaker 1: you don't rather than to a fabricate something or or

757
00:42:30,640 --> 00:42:32,600
Speaker 1: or say something that is actually not accurate. You know,

758
00:42:32,680 --> 00:42:35,440
Speaker 1: Shary Lills was under off. She's a lawyer herself. She

759
00:42:35,560 --> 00:42:39,440
Speaker 1: understands that oftentimes it's worse to say somebody you think

760
00:42:39,480 --> 00:42:41,960
Speaker 1: it's true, rather than hold back, because often it is

761
00:42:42,000 --> 00:42:44,080
Speaker 1: the lie that is worse. And that's what we saw

762
00:42:44,080 --> 00:42:46,920
Speaker 1: at Portrayus. Frankly, it wasn't so much about the classified

763
00:42:46,920 --> 00:42:49,040
Speaker 1: information and what he did with it. It was affect

764
00:42:49,080 --> 00:42:51,719
Speaker 1: that he lied to federal prosecutors. Sure, But but the

765
00:42:51,920 --> 00:42:54,040
Speaker 1: issue here to me is, I mean, you know, the

766
00:42:54,120 --> 00:42:56,560
Speaker 1: legal stuff is very important, and I'm glad that we're

767
00:42:56,680 --> 00:42:59,279
Speaker 1: pursuing it. I wish the press would pursue it as

768
00:42:59,320 --> 00:43:04,719
Speaker 1: doggedly as they pursue Donald Trump's uh donations to veteran group.

769
00:43:04,800 --> 00:43:06,680
Speaker 1: But the thing that, you know, this is what we've

770
00:43:06,680 --> 00:43:09,960
Speaker 1: always had with the Clinton is going back decades, and

771
00:43:10,400 --> 00:43:13,919
Speaker 1: you know, kicking off a campaign with admirred in depth

772
00:43:13,960 --> 00:43:18,120
Speaker 1: positions and objections and I don't remembers and all that

773
00:43:18,200 --> 00:43:19,640
Speaker 1: kind of stuff is just a it's a it's a

774
00:43:19,760 --> 00:43:22,560
Speaker 1: terrible way. And then even now she's still hadn't clinched

775
00:43:22,600 --> 00:43:26,239
Speaker 1: the denomination. You know, Danielle, you want I'd rather be today,

776
00:43:26,239 --> 00:43:29,440
Speaker 1: I would rather be Donald Trump. Danielle, you sound to

777
00:43:29,520 --> 00:43:32,120
Speaker 1: me like you you're would be a Hillary supporter. That's

778
00:43:32,120 --> 00:43:33,799
Speaker 1: what you sound like. Am I wrong? No? I am.

779
00:43:33,840 --> 00:43:36,320
Speaker 1: I am a Hillary Clinton supporter. And I agree with Charlie.

780
00:43:36,320 --> 00:43:39,479
Speaker 1: You know, even as a supporter, there are problems here,

781
00:43:39,520 --> 00:43:42,600
Speaker 1: and I wish that Clinton would be more forthcoming. I

782
00:43:42,640 --> 00:43:45,000
Speaker 1: do wish that she would speak to the fresh press

783
00:43:45,040 --> 00:43:48,160
Speaker 1: more freely. I think that she is viewed as someone

784
00:43:48,160 --> 00:43:51,480
Speaker 1: who is not trustworthy, as someone who is holding back

785
00:43:51,640 --> 00:43:55,799
Speaker 1: from the general party. Probably. Here's what we also know.

786
00:43:56,200 --> 00:43:59,120
Speaker 1: For example, let's take Benghazi. We knew that she will

787
00:43:59,160 --> 00:44:03,040
Speaker 1: simultane lee telling the American public that this attack on

788
00:44:03,080 --> 00:44:06,800
Speaker 1: our consulate in Benghazi was related to a YouTube video

789
00:44:06,840 --> 00:44:09,880
Speaker 1: and it was a spontaneous demonstration, and the and the

790
00:44:10,000 --> 00:44:13,320
Speaker 1: demonstrators just happened to have ourpgs in their back pocket,

791
00:44:13,320 --> 00:44:15,400
Speaker 1: and they just happen to pull them out and just

792
00:44:15,480 --> 00:44:18,120
Speaker 1: happen to use them on the console. But my question is,

793
00:44:18,360 --> 00:44:20,880
Speaker 1: but didn't she lie because at the same time, we

794
00:44:21,000 --> 00:44:24,200
Speaker 1: now know she was telling her own daughter the Libyan

795
00:44:24,280 --> 00:44:27,600
Speaker 1: president the Egyptian Prime minister that it was an act

796
00:44:27,640 --> 00:44:31,600
Speaker 1: of terror. Simultaneously, She's telling two very different stories. So

797
00:44:31,800 --> 00:44:34,399
Speaker 1: we know she was lying to us, don't we Isn't

798
00:44:34,440 --> 00:44:36,799
Speaker 1: that a fact? And when you say you support her,

799
00:44:37,480 --> 00:44:39,880
Speaker 1: you're telling me that you support somebody that you know

800
00:44:40,080 --> 00:44:43,360
Speaker 1: is a liar, and that question, then that raises questions

801
00:44:43,360 --> 00:44:47,160
Speaker 1: in my mind, why you're supporting a liar, somebody who

802
00:44:47,160 --> 00:44:51,319
Speaker 1: the American people have rightly identified as dishonest and untrustworthy

803
00:44:51,400 --> 00:44:55,359
Speaker 1: as as president. I don't understand why you would do that. Well,

804
00:44:55,400 --> 00:44:58,120
Speaker 1: a couple of things, Sean. I do not identify Hillary

805
00:44:58,120 --> 00:45:01,200
Speaker 1: Clinton as a liar. And after you know, twelve hours

806
00:45:01,200 --> 00:45:06,920
Speaker 1: of testimony before before subcommittees on being Ghazi, an enormous

807
00:45:06,920 --> 00:45:09,919
Speaker 1: amount of email investigation, we have not found this smart

808
00:45:10,000 --> 00:45:12,480
Speaker 1: so called smoking gun. I think in the fog of

809
00:45:12,560 --> 00:45:14,840
Speaker 1: war and the fog of this kind of an attack

810
00:45:14,960 --> 00:45:18,960
Speaker 1: fog of war. How do you have a spontaneous demonstration

811
00:45:19,200 --> 00:45:22,480
Speaker 1: where people pull out RPGs. Isn't that a little ridiculous

812
00:45:22,560 --> 00:45:25,200
Speaker 1: to you? Well, it's been shown that the video was

813
00:45:25,280 --> 00:45:28,160
Speaker 1: not the reason. But my point being, at the time

814
00:45:28,320 --> 00:45:30,440
Speaker 1: I think it was reasonable, but at the exact but

815
00:45:30,520 --> 00:45:33,520
Speaker 1: at the exact same time she was told they knew

816
00:45:33,520 --> 00:45:36,560
Speaker 1: within minutes it was a terror attack. She had denied

817
00:45:36,800 --> 00:45:41,640
Speaker 1: the repeated request for additional security, She gave a standdown

818
00:45:41,719 --> 00:45:44,360
Speaker 1: order of the administration, gave a standdown order to the

819
00:45:44,560 --> 00:45:47,439
Speaker 1: CIA complex, people that were two miles away they wanted

820
00:45:47,440 --> 00:45:49,719
Speaker 1: to help, and people in Tripoli that wanted to help,

821
00:45:49,760 --> 00:45:51,839
Speaker 1: and people abroad that could have made it there to help.

822
00:45:51,920 --> 00:45:54,440
Speaker 1: And then afterwards she lied to the families and they

823
00:45:54,480 --> 00:45:58,239
Speaker 1: repeated the lote. I find so appalling about that particular

824
00:45:58,360 --> 00:46:01,320
Speaker 1: her statements immediately after that was Remember, at that time,

825
00:46:01,520 --> 00:46:05,040
Speaker 1: people didn't nobody had heard of this internet movie. Nobody

826
00:46:05,040 --> 00:46:07,880
Speaker 1: had seen this movie. It had it was given, it

827
00:46:07,960 --> 00:46:11,840
Speaker 1: was being given the attention and treatment that it perhaps deserved.

828
00:46:11,960 --> 00:46:15,600
Speaker 1: But when as soon as she blamed that attack on

829
00:46:15,960 --> 00:46:19,320
Speaker 1: the movie, it suddenly put that movie in bright lights

830
00:46:19,360 --> 00:46:22,359
Speaker 1: and cleave lights, and the whole world then turned around

831
00:46:22,360 --> 00:46:25,680
Speaker 1: and started watching the movie, and which then it was.

832
00:46:25,960 --> 00:46:30,560
Speaker 1: It was that at that point that people UH protesters

833
00:46:30,600 --> 00:46:35,520
Speaker 1: around the globe really began UH outraged over the movie,

834
00:46:35,800 --> 00:46:40,000
Speaker 1: started attacking American interests around the world. People were hurt,

835
00:46:40,040 --> 00:46:43,160
Speaker 1: people were killed in those protests, and all of It

836
00:46:43,280 --> 00:46:47,239
Speaker 1: stems back to Hillary Clinton's desire to uh, you know,

837
00:46:47,320 --> 00:46:50,920
Speaker 1: save face or or get out of trouble and lie

838
00:46:51,200 --> 00:46:55,680
Speaker 1: and and then and then caused this real But but

839
00:46:55,719 --> 00:46:57,840
Speaker 1: you know, Charles, I'm just convinced if we had a

840
00:46:57,920 --> 00:47:00,839
Speaker 1: video of Hillary Clinton shooting people, that there would be

841
00:47:00,880 --> 00:47:03,480
Speaker 1: people that would defend her and say, well, you know,

842
00:47:03,719 --> 00:47:05,960
Speaker 1: she was gonna give the money to the poor. That's

843
00:47:05,960 --> 00:47:09,200
Speaker 1: how bad. I think you have to go that deep

844
00:47:09,400 --> 00:47:14,520
Speaker 1: pathologically to defend her level of dishonesty. My point is this,

845
00:47:14,760 --> 00:47:16,000
Speaker 1: I got not I don't have time. I got to

846
00:47:16,000 --> 00:47:18,600
Speaker 1: go about than Ghassie. So show me the facts and

847
00:47:18,680 --> 00:47:20,879
Speaker 1: I will. I will talk honestly about it. I tried

848
00:47:21,080 --> 00:47:24,120
Speaker 1: very hard to give credible views on all of these things.

849
00:47:24,200 --> 00:47:27,719
Speaker 1: I'm just telling you that you're that we know simultaneously

850
00:47:27,840 --> 00:47:31,160
Speaker 1: she gave very different stories in the timeline is clear anyway.

851
00:47:31,200 --> 00:47:32,880
Speaker 1: But I think I appreciate your time, both of it.

852
00:47:33,000 --> 00:47:35,000
Speaker 1: My name is Angelo Gomez, and I have something very

853
00:47:35,000 --> 00:47:38,439
Speaker 1: clear to say to the liberal media and Hillary Clint. Yes,

854
00:47:38,520 --> 00:47:42,799
Speaker 1: I'm an American Latino who supports Donald Trump. Yes, I

855
00:47:42,840 --> 00:47:45,520
Speaker 1: come from a family rooted with immigrants, and I support

856
00:47:45,600 --> 00:47:48,239
Speaker 1: Donald J. Trump to be the next president of the

857
00:47:48,320 --> 00:47:50,840
Speaker 1: United States. How I support Donald Trump with every ounce

858
00:47:51,080 --> 00:47:54,160
Speaker 1: of my being for the very reasons that this country,

859
00:47:54,320 --> 00:47:57,600
Speaker 1: that the constitution, that the flag behind me was founded

860
00:47:57,719 --> 00:48:00,520
Speaker 1: upon me. And that's putting the American people first. That's

861
00:48:00,560 --> 00:48:04,240
Speaker 1: putting this country first. For too long, the American people

862
00:48:04,320 --> 00:48:07,160
Speaker 1: have had a commander in chief who has put them last.

863
00:48:07,440 --> 00:48:10,080
Speaker 1: We are in the position we are in today because

864
00:48:10,080 --> 00:48:13,440
Speaker 1: of an incompetent commander in chief, because of politically correct

865
00:48:13,480 --> 00:48:17,200
Speaker 1: politicians who have lied to, who have cheated Americans, and

866
00:48:17,239 --> 00:48:21,080
Speaker 1: that can no longer happen. Donald Trump, every single one

867
00:48:21,080 --> 00:48:24,200
Speaker 1: of his policies is about putting Americans in first. It's

868
00:48:24,239 --> 00:48:27,760
Speaker 1: about being not politically correct, It's about telling the truth

869
00:48:27,920 --> 00:48:30,840
Speaker 1: to Americans. Donald Trump has a track record of success.

870
00:48:31,040 --> 00:48:34,040
Speaker 1: Donald Trump has a track record of not being politically correct,

871
00:48:34,120 --> 00:48:36,680
Speaker 1: and that is why I support. He will bring this

872
00:48:36,760 --> 00:48:39,439
Speaker 1: country back, He will bring our jobs back, he will

873
00:48:39,480 --> 00:48:42,279
Speaker 1: heal our count he will put Americans first, and that

874
00:48:42,360 --> 00:48:44,480
Speaker 1: is what matters. And Hillary Clinton is the face of

875
00:48:44,520 --> 00:48:48,200
Speaker 1: an incompetent politician who has lied to, who has cheated,

876
00:48:48,640 --> 00:48:52,120
Speaker 1: and who has gotten Americans them. If we get this wrong,

877
00:48:52,400 --> 00:48:56,480
Speaker 1: our country will no longer be here for the future generations.

878
00:48:57,200 --> 00:49:02,399
Speaker 1: In two thousand sixteen, I will be voting for Donald Trump.

879
00:49:02,440 --> 00:49:05,640
Speaker 1: Hillery Clean better be ready because the American people are coming.

880
00:49:05,680 --> 00:49:08,439
Speaker 1: Donald Trump is coming and we will no longer take

881
00:49:08,600 --> 00:49:11,640
Speaker 1: a politician who put his life. My name is Barley,

882
00:49:11,760 --> 00:49:15,200
Speaker 1: I'm Latina. I'm an independent and I'm voting for Donald Trump.

883
00:49:15,719 --> 00:49:17,799
Speaker 1: Mexican American love Songs, hunt, and I want to tell

884
00:49:17,840 --> 00:49:21,680
Speaker 1: you that in California, Mexican America's are with you. I

885
00:49:21,840 --> 00:49:24,440
Speaker 1: have the freedom to vote for who I want, and

886
00:49:24,560 --> 00:49:28,560
Speaker 1: I will vote for Donald Trump. Don't worry, Mr Trump,

887
00:49:28,680 --> 00:49:31,520
Speaker 1: I stand by you a hundred percent. Just laughing all.

888
00:49:31,600 --> 00:49:34,760
Speaker 1: He's gonna vote for Trump. Take you out and Hispanic

889
00:49:34,840 --> 00:49:38,120
Speaker 1: Mexican American. I'm also a normally veteran and I will

890
00:49:38,239 --> 00:49:42,120
Speaker 1: vote for Donald Trump. Latinas for Trump, I'm a third

891
00:49:42,120 --> 00:49:48,120
Speaker 1: generation Hispanic Filipina and I'm voting for read it, Donald J. Trump.

892
00:49:48,960 --> 00:49:51,240
Speaker 1: But the main reason why I support him is because

893
00:49:51,280 --> 00:49:54,719
Speaker 1: the future on my children depend on him making America

894
00:49:54,760 --> 00:49:58,640
Speaker 1: great again. Some things joined the movement and help us

895
00:49:58,680 --> 00:50:02,680
Speaker 1: to make American credic. My family came here on the

896
00:50:03,080 --> 00:50:05,799
Speaker 1: second to last free to flight out of Cuba, and

897
00:50:05,840 --> 00:50:09,440
Speaker 1: we all support Donald Trump because he understands that the

898
00:50:09,480 --> 00:50:13,120
Speaker 1: most patriotic Americans are immigrants who came here not for

899
00:50:13,200 --> 00:50:15,600
Speaker 1: what they could get here, but for who they could

900
00:50:15,600 --> 00:50:22,240
Speaker 1: be here. Specifically, I believe that Donald Trump has the ability,

901
00:50:22,760 --> 00:50:27,800
Speaker 1: the techniques, and the specific knowledge that's needed to restore

902
00:50:27,800 --> 00:50:31,440
Speaker 1: our economy. UH in the industry which I work, I

903
00:50:31,520 --> 00:50:37,440
Speaker 1: have seen thousands, in thousands of families loose the American dream.

904
00:50:37,520 --> 00:50:39,719
Speaker 1: My name is Poker from Los Angeles, and I'm voting

905
00:50:39,760 --> 00:50:42,280
Speaker 1: for Donald Trump because it's sample. We need to build

906
00:50:42,280 --> 00:50:45,000
Speaker 1: a wall, we need to secure the border. There's nothing

907
00:50:45,080 --> 00:50:47,720
Speaker 1: racist with that. We need to make American three again.

908
00:50:48,040 --> 00:50:50,680
Speaker 1: We need a proven leader and a proven executive. His

909
00:50:50,800 --> 00:50:54,600
Speaker 1: love for this country is so evident. This goes on

910
00:50:54,880 --> 00:50:57,719
Speaker 1: and on and on. Twenty three now to the top

911
00:50:57,719 --> 00:50:59,920
Speaker 1: of the hour. Right down our toll free telephone number.

912
00:51:00,280 --> 00:51:02,920
Speaker 1: We'd love to hear from you. It's eight one Seawan.

913
00:51:03,120 --> 00:51:08,480
Speaker 1: That is a group that has called themselves Latinos for Trump. Now,

914
00:51:08,560 --> 00:51:10,560
Speaker 1: if you listen to the mainstream media, they have a

915
00:51:10,680 --> 00:51:14,680
Speaker 1: very different narrative. Donald Trump can't win the Latino, the

916
00:51:14,760 --> 00:51:19,600
Speaker 1: Hispanic vote. Donald Trump can't win the African American vote.

917
00:51:19,640 --> 00:51:23,200
Speaker 1: Donald Trump is bleeding with women. And the person that

918
00:51:23,280 --> 00:51:26,200
Speaker 1: has more out of touch with any one demographic group

919
00:51:26,280 --> 00:51:29,400
Speaker 1: happens to be Hillary with men, and she does not

920
00:51:29,560 --> 00:51:34,120
Speaker 1: have near the numbers that Barack Obama had with blacks

921
00:51:34,200 --> 00:51:38,959
Speaker 1: and Latinos. So where is his campaign headed anyway? Joining

922
00:51:39,040 --> 00:51:42,440
Speaker 1: us from this group, we have Angelo Gomez, a Puerto

923
00:51:42,560 --> 00:51:46,120
Speaker 1: Rican Nicaraguan Trump supporter. He's featured at the beginning beginning

924
00:51:46,120 --> 00:51:48,400
Speaker 1: of this video, which by the way, has now gone viral.

925
00:51:48,960 --> 00:51:55,880
Speaker 1: It's also um an intern and since October the Trump campaign,

926
00:51:56,560 --> 00:52:00,000
Speaker 1: and he graduated high school this past week. He's already complete,

927
00:52:00,080 --> 00:52:03,359
Speaker 1: did thirty five college credits. Pretty impressive. Also with us

928
00:52:03,400 --> 00:52:07,560
Speaker 1: as Erwin Brunner is here a Panamanian American, a Trump

929
00:52:07,560 --> 00:52:09,680
Speaker 1: supporter featured in the video. Welcome both of you to

930
00:52:09,760 --> 00:52:13,960
Speaker 1: the show. Angelo. You're a young guy. By the way,

931
00:52:13,960 --> 00:52:15,600
Speaker 1: I have a picture of you, and you're a pretty

932
00:52:15,600 --> 00:52:19,799
Speaker 1: good looking guy. Thank you. Now, So what's going on?

933
00:52:19,840 --> 00:52:23,160
Speaker 1: So why is it a myth that Donald Trump can't

934
00:52:23,160 --> 00:52:31,120
Speaker 1: get the Hispanic vote? Definitely, he's definitely speaking directly towards

935
00:52:31,160 --> 00:52:35,480
Speaker 1: the American All right, hang on one second, Irwin, what

936
00:52:35,520 --> 00:52:38,280
Speaker 1: do you think ken Donald Trump get the Hispanic vote?

937
00:52:38,640 --> 00:52:41,360
Speaker 1: I think that he will. Um. Yeah, I'm going to

938
00:52:41,480 --> 00:52:44,359
Speaker 1: make sure that that happens. Uh. We're here in wist

939
00:52:44,360 --> 00:52:48,720
Speaker 1: Bomb Beach, Florida. I'm painting for Trump actively three times

940
00:52:48,719 --> 00:52:54,320
Speaker 1: a week, fine waving. Um. We take pictures of signs. Uh.

941
00:52:54,560 --> 00:52:57,120
Speaker 1: I have one week Crooked Hillary, which is has been

942
00:52:57,160 --> 00:53:03,120
Speaker 1: the funniest one. Um. People you know, they have to

943
00:53:03,200 --> 00:53:06,040
Speaker 1: understand the message. But I mean we cannot act the

944
00:53:06,120 --> 00:53:09,759
Speaker 1: same way they becaust do. Um. We have to fight

945
00:53:09,840 --> 00:53:14,040
Speaker 1: back in a different way. And I think you know

946
00:53:15,160 --> 00:53:20,000
Speaker 1: the best way to do it is just with and

947
00:53:20,040 --> 00:53:23,360
Speaker 1: with you know. I just think that if you really

948
00:53:23,719 --> 00:53:27,279
Speaker 1: look at things, here's the question I think every minority

949
00:53:27,280 --> 00:53:29,839
Speaker 1: and every American needs to ask themselves. I know every

950
00:53:29,880 --> 00:53:33,640
Speaker 1: poll is broken down demographically. Are you better off then

951
00:53:33,680 --> 00:53:36,479
Speaker 1: you were eight years ago? And if you can say yes,

952
00:53:36,520 --> 00:53:38,840
Speaker 1: if you think the country is better off, then I

953
00:53:38,840 --> 00:53:42,480
Speaker 1: guess folk for Hillary because that's the continuation of Obama's policies.

954
00:53:42,520 --> 00:53:45,440
Speaker 1: If you're not, and you're one of those millions of

955
00:53:45,480 --> 00:53:48,680
Speaker 1: Americans and food stamps and out of the labor force

956
00:53:48,800 --> 00:53:51,560
Speaker 1: and in poverty, I would think that it's time for

957
00:53:51,640 --> 00:53:55,440
Speaker 1: a change in a pretty drastic way because disproportionately. The

958
00:53:55,480 --> 00:53:58,360
Speaker 1: people that have been harmed the most by Obama's leftist

959
00:53:58,360 --> 00:54:04,120
Speaker 1: policies have been minorities. Yes, Um, I see reality. Um. Sadly,

960
00:54:04,280 --> 00:54:08,400
Speaker 1: I voted for Obama on hire the last term. Um.

961
00:54:08,480 --> 00:54:11,440
Speaker 1: And there's three things that Democrats used to tell me

962
00:54:11,480 --> 00:54:17,440
Speaker 1: all the time. The Republicans are racists, the Republicans are bigots,

963
00:54:17,800 --> 00:54:21,160
Speaker 1: and to never watch Fox News. That's the only thing

964
00:54:21,160 --> 00:54:25,319
Speaker 1: I heard from Democrats. And I mean, Obama, I've been

965
00:54:25,320 --> 00:54:29,279
Speaker 1: a toil failure. Um, I don't. I cannot describe it

966
00:54:29,280 --> 00:54:33,719
Speaker 1: any other way. And I'm here trying to repair the

967
00:54:33,800 --> 00:54:37,160
Speaker 1: damage I did by voting for him. Yeah, that's what

968
00:54:37,280 --> 00:54:40,719
Speaker 1: this election. That's that. That to me is the most

969
00:54:40,760 --> 00:54:43,479
Speaker 1: important thing. You know what I mean. I've got my job,

970
00:54:43,520 --> 00:54:45,719
Speaker 1: I've got contracts. I could pat myself on the back

971
00:54:45,760 --> 00:54:48,279
Speaker 1: and say, well, I'm fine, But you know what, that's

972
00:54:48,280 --> 00:54:52,400
Speaker 1: not the criteria for me. If the country and my

973
00:54:52,480 --> 00:54:57,080
Speaker 1: fellow countrymen and women are suffering, Angelo, you're back here.

974
00:54:57,640 --> 00:54:59,880
Speaker 1: Uh so you you think that Trump can get the

975
00:55:00,080 --> 00:55:03,319
Speaker 1: Latino vote, the Hispanic vote, Yeah, I really think he will.

976
00:55:03,400 --> 00:55:06,680
Speaker 1: He's speaking directly to the American dream and people who

977
00:55:06,719 --> 00:55:09,920
Speaker 1: come here illegally that's what they're looking for for a

978
00:55:09,960 --> 00:55:13,080
Speaker 1: better life, and they went through this this long process

979
00:55:13,120 --> 00:55:16,040
Speaker 1: to get here. That they don't want a leader who

980
00:55:16,200 --> 00:55:18,600
Speaker 1: is going to be putting the American people last, which

981
00:55:18,640 --> 00:55:21,880
Speaker 1: is what Obama has done, and it's definitely what Hillary

982
00:55:21,920 --> 00:55:25,000
Speaker 1: Clinton and Bernie Sanders would do. So he's speaking directly

983
00:55:25,040 --> 00:55:27,800
Speaker 1: to the American dream. And I know a lot of

984
00:55:27,880 --> 00:55:33,560
Speaker 1: Latinos that support Trump because he's speaking directly to the people,

985
00:55:33,560 --> 00:55:37,320
Speaker 1: and he's speaking directly, UH, to the American dream that

986
00:55:37,480 --> 00:55:39,120
Speaker 1: a lot of people want. What do you think of

987
00:55:39,239 --> 00:55:42,279
Speaker 1: that a lot of legal immigrants deserved from going through

988
00:55:42,320 --> 00:55:44,960
Speaker 1: the process, and especially that the American people deserve. What

989
00:55:45,000 --> 00:55:47,560
Speaker 1: do you think about illegal immigration? And what do you

990
00:55:47,560 --> 00:55:50,879
Speaker 1: think about Trump's proposal to build a wall, because you know, look,

991
00:55:50,920 --> 00:55:52,719
Speaker 1: I've been down to that border so many times. I

992
00:55:52,760 --> 00:55:55,600
Speaker 1: see the drugs crossing, I see the criminal and gang

993
00:55:55,680 --> 00:55:58,920
Speaker 1: factor in terms of people crossing. I worry about Islamic

994
00:55:59,040 --> 00:56:03,279
Speaker 1: radicals crossing border. What are your thoughts? Yeah, I agree

995
00:56:04,200 --> 00:56:07,719
Speaker 1: with Donald Trump's plan for a while and and his

996
00:56:07,800 --> 00:56:11,279
Speaker 1: plan for immigration. UH. Securing our border is what needs

997
00:56:11,320 --> 00:56:14,280
Speaker 1: to be done. We're both the country of UH laws

998
00:56:14,320 --> 00:56:16,759
Speaker 1: and if we don't have the laws, we won't be

999
00:56:16,760 --> 00:56:19,240
Speaker 1: a country. And we also need to secure the border,

1000
00:56:19,600 --> 00:56:24,720
Speaker 1: uh so that the people can have a sense of safety.

1001
00:56:24,760 --> 00:56:27,279
Speaker 1: You have all these drugs pulling across the border, you

1002
00:56:27,280 --> 00:56:29,480
Speaker 1: have all these people pouring across the border, and we

1003
00:56:29,560 --> 00:56:31,840
Speaker 1: have no idea who they are. We need to secure

1004
00:56:31,880 --> 00:56:35,879
Speaker 1: the border. And if we put a legal immigrants, if

1005
00:56:35,880 --> 00:56:39,520
Speaker 1: we give them amnesty, that's just another example of putting

1006
00:56:39,560 --> 00:56:43,840
Speaker 1: the Americans last. And I think that's completely completely unacceptable. Irwin.

1007
00:56:43,920 --> 00:56:46,160
Speaker 1: Do you think it's a problem to ask people for

1008
00:56:46,239 --> 00:56:50,320
Speaker 1: a photo I D if they vote at all, I'm

1009
00:56:50,360 --> 00:56:53,120
Speaker 1: totally pro you know, I mean, because I'll give you

1010
00:56:53,120 --> 00:56:56,239
Speaker 1: an example. I'm gonna go to the Democratic Convention and

1011
00:56:56,280 --> 00:56:59,360
Speaker 1: have a crappy week in Philly, except I'll have Philly

1012
00:56:59,400 --> 00:57:01,839
Speaker 1: cheesesteaks every day. But I'm gonna have a crappy week

1013
00:57:01,880 --> 00:57:04,759
Speaker 1: in in Philly being with the Democrats. And for me

1014
00:57:04,840 --> 00:57:07,080
Speaker 1: to get in there, or when I've got to show

1015
00:57:07,080 --> 00:57:09,239
Speaker 1: my picture i D, they don't just let you in.

1016
00:57:09,320 --> 00:57:11,440
Speaker 1: And by the way, oftentimes when I show the i

1017
00:57:11,560 --> 00:57:14,600
Speaker 1: D the Secret Service guys or law enforcement people that

1018
00:57:14,640 --> 00:57:16,960
Speaker 1: are there, they'll say, hi, Mr Hannity, how are you good?

1019
00:57:17,000 --> 00:57:18,800
Speaker 1: To see you. It's very nice. I like your show.

1020
00:57:18,840 --> 00:57:20,760
Speaker 1: I watch it every day. And then they'll say I

1021
00:57:20,800 --> 00:57:23,320
Speaker 1: need your I D. And I'm like, here's my I D.

1022
00:57:23,480 --> 00:57:25,400
Speaker 1: I don't have a problem with that. But yet some

1023
00:57:25,440 --> 00:57:30,680
Speaker 1: people say it's racist. If you'll let me tell you something, Sean,

1024
00:57:31,400 --> 00:57:34,120
Speaker 1: before becoming a citizen of this country, how to do

1025
00:57:34,200 --> 00:57:39,200
Speaker 1: the naturalization of alligtion? And UH many Latinos the support

1026
00:57:39,280 --> 00:57:42,840
Speaker 1: Hillory or Bernie. They keep forgetting that once you go

1027
00:57:42,960 --> 00:57:46,760
Speaker 1: through the naturalization of the legion, you cannot be supporting

1028
00:57:47,120 --> 00:57:51,440
Speaker 1: illegal immigration. You have to protect entirely the United States

1029
00:57:51,440 --> 00:57:53,400
Speaker 1: of America. I don't want to be trade the United

1030
00:57:53,400 --> 00:57:55,400
Speaker 1: States of America. And that's why I'm voting for Listen,

1031
00:57:55,720 --> 00:57:58,160
Speaker 1: I'm gonna tell another thing. You know, the people that

1032
00:57:58,200 --> 00:58:01,000
Speaker 1: have been hurt most, the millions more Americans in poverty

1033
00:58:01,000 --> 00:58:04,000
Speaker 1: since Obama has become president, millions more on food stamps,

1034
00:58:04,400 --> 00:58:08,960
Speaker 1: meeting income down the the the what you have such

1035
00:58:09,000 --> 00:58:12,640
Speaker 1: a high percentage of men eighteen to thirty four, one

1036
00:58:12,680 --> 00:58:15,360
Speaker 1: out of six in jail are in prison. Uh in

1037
00:58:15,360 --> 00:58:17,680
Speaker 1: this country have one in five families that don't have

1038
00:58:17,720 --> 00:58:20,920
Speaker 1: a single working person. You know, what if you cross

1039
00:58:21,000 --> 00:58:23,360
Speaker 1: the border, I I understand you want a better life

1040
00:58:23,360 --> 00:58:25,760
Speaker 1: and you do it illegally, but you're competing with Americans

1041
00:58:25,760 --> 00:58:29,720
Speaker 1: for jobs. You're driving down rates, uh in terms of

1042
00:58:29,720 --> 00:58:32,080
Speaker 1: of what you get paid on these jobs, what people

1043
00:58:32,080 --> 00:58:34,440
Speaker 1: pay you, And it's just unfair to the people that

1044
00:58:34,520 --> 00:58:37,840
Speaker 1: are here legally, and it's to me it's a simple question.

1045
00:58:37,840 --> 00:58:40,000
Speaker 1: But anyway, I want to thank you both, Angelo, thank

1046
00:58:40,040 --> 00:58:44,479
Speaker 1: you Erwin, thank you my Frankie. Alright, eight one, Shawn,

1047
00:58:44,520 --> 00:58:46,400
Speaker 1: you want to be a part of the program, uh

1048
00:58:46,520 --> 00:58:50,240
Speaker 1: j G in Miami News Radio six d w y

1049
00:58:50,280 --> 00:58:53,000
Speaker 1: O D. What's up? J G? How are you great? Show?

1050
00:58:53,040 --> 00:58:56,000
Speaker 1: How right? Sean? You know, I was thinking about Bill Crystal,

1051
00:58:56,040 --> 00:58:58,720
Speaker 1: and what really has gotten me is that, you know,

1052
00:58:59,040 --> 00:59:02,240
Speaker 1: when Ruby conceded and dropped out, it was like a

1053
00:59:02,360 --> 00:59:06,000
Speaker 1: sigh of relief. And then when Case dropped out, which

1054
00:59:06,000 --> 00:59:07,440
Speaker 1: I didn't think it was going to that was like

1055
00:59:07,600 --> 00:59:10,120
Speaker 1: a feeling of like, you know, total relief. Now we

1056
00:59:10,200 --> 00:59:13,040
Speaker 1: can now bring on Hillary. And then we had Paul

1057
00:59:13,160 --> 00:59:16,600
Speaker 1: Ryan of all people jumped in and throw try throw

1058
00:59:16,720 --> 00:59:19,040
Speaker 1: Rinches into it. And now we have Crystal. I mean,

1059
00:59:19,120 --> 00:59:22,840
Speaker 1: when is it going to stop? And this Crystal, gentleman,

1060
00:59:22,960 --> 00:59:25,160
Speaker 1: is it's just shown to me to be the complete

1061
00:59:25,360 --> 00:59:28,280
Speaker 1: idiot that I thought he probably was all along. You

1062
00:59:28,280 --> 00:59:30,560
Speaker 1: know the idea. A friend of mine wrote me last

1063
00:59:30,640 --> 00:59:34,160
Speaker 1: night when the news broke about David French, a columnist

1064
00:59:34,160 --> 00:59:36,640
Speaker 1: for n R. OH, I'm like, you know, if you're

1065
00:59:36,680 --> 00:59:39,600
Speaker 1: that bitter and that angry, I mean, I think Bill

1066
00:59:39,640 --> 00:59:43,480
Speaker 1: Crystal is just irrelevant. He's whoever he puts up is

1067
00:59:43,520 --> 00:59:46,120
Speaker 1: not going to be anybody of substance. It's waste of time.

1068
00:59:46,600 --> 00:59:50,320
Speaker 1: And all he's trying to do is make himself relevant

1069
00:59:50,440 --> 00:59:53,840
Speaker 1: and helping to elect Hillary. That's all he's doing. And

1070
00:59:53,880 --> 00:59:55,520
Speaker 1: if that's what he wants to do, then okay, why

1071
00:59:55,560 --> 00:59:57,600
Speaker 1: doesn't he just go out in campaign for Hillary because

1072
00:59:57,640 --> 01:00:00,760
Speaker 1: it's exactly the same thing. Etan or nine for one.

1073
01:00:00,800 --> 01:00:05,400
Speaker 1: Sean Joshua is in Atlanta News Talk WSP high. Hey, Sean,

1074
01:00:05,440 --> 01:00:08,640
Speaker 1: how are your first time calla listening for fifteen years?

1075
01:00:09,960 --> 01:00:12,560
Speaker 1: I was hannitized by my mentor, who actually had a

1076
01:00:12,600 --> 01:00:15,800
Speaker 1: book that you signed for me in Rono, Virginias. But

1077
01:00:16,200 --> 01:00:19,160
Speaker 1: I just wanted to take a minute to just state that,

1078
01:00:19,280 --> 01:00:21,800
Speaker 1: you know, when they say that millennials and uh, the

1079
01:00:21,840 --> 01:00:24,400
Speaker 1: average Joe, that Donald Trump doesn't reach out to or

1080
01:00:24,440 --> 01:00:27,200
Speaker 1: connect with, I was in New York at the U

1081
01:00:27,320 --> 01:00:29,920
Speaker 1: S Open working with a company in a nonprofit to

1082
01:00:30,080 --> 01:00:33,800
Speaker 1: raise money for seminary and mission strips, and actually was

1083
01:00:33,800 --> 01:00:38,000
Speaker 1: assigned to Donald Trump's suite at the tennis event. And uh,

1084
01:00:38,040 --> 01:00:40,600
Speaker 1: you know, we were told to, you know, be invisible

1085
01:00:40,680 --> 01:00:42,480
Speaker 1: and not say anything and not try to take pictures

1086
01:00:42,560 --> 01:00:44,800
Speaker 1: or anything like that. But while I was setting up

1087
01:00:44,800 --> 01:00:46,920
Speaker 1: the food, Mr Trump actually came up and shook my

1088
01:00:47,000 --> 01:00:49,640
Speaker 1: hand and thanked me, you know, for my service, something

1089
01:00:49,640 --> 01:00:51,400
Speaker 1: he didn't have to do. I mean, he had plenty

1090
01:00:51,400 --> 01:00:53,680
Speaker 1: of people in the room, but he actually took a

1091
01:00:53,720 --> 01:00:56,000
Speaker 1: moment to connect with somebody who was supposed to be invisible.

1092
01:00:56,040 --> 01:00:59,080
Speaker 1: I thought that was very speaking to his character and

1093
01:00:59,160 --> 01:01:02,600
Speaker 1: not the perception that's out there about who he is. Listen,

1094
01:01:02,640 --> 01:01:04,720
Speaker 1: I've been around the guy in his family a lot,

1095
01:01:04,960 --> 01:01:07,800
Speaker 1: and I can tell you that they're nice people. You know.

1096
01:01:08,200 --> 01:01:10,200
Speaker 1: I mentioned this earlier in the program. Guy writes me

1097
01:01:10,200 --> 01:01:12,640
Speaker 1: a note today, well you're a registered Conservative, why are

1098
01:01:12,640 --> 01:01:15,800
Speaker 1: you voting for Trump? And I wrote him back, I said,

1099
01:01:15,840 --> 01:01:18,200
Speaker 1: I like his list of judges for the Supreme Court.

1100
01:01:18,240 --> 01:01:20,960
Speaker 1: I like his idea to rebuild the military. I like

1101
01:01:21,080 --> 01:01:24,280
Speaker 1: the idea of identifying radical Islam and and saying he's

1102
01:01:24,280 --> 01:01:26,640
Speaker 1: gonna bomb the crap out of them. I want to

1103
01:01:26,680 --> 01:01:28,800
Speaker 1: fix the v A. He's running on that. He's running

1104
01:01:28,800 --> 01:01:31,919
Speaker 1: on securing the water border and building the wall. He's

1105
01:01:31,960 --> 01:01:35,960
Speaker 1: promising to repeal Obamacare. He's promising to make us energy independent,

1106
01:01:36,280 --> 01:01:39,280
Speaker 1: and that's coal and fracking and drilling and nuclear and

1107
01:01:39,360 --> 01:01:42,760
Speaker 1: new technologies. He's gonna end common Course sender back to

1108
01:01:42,800 --> 01:01:45,400
Speaker 1: the States. I like the idea of negotiating better trade

1109
01:01:45,400 --> 01:01:49,400
Speaker 1: deals and to get spending under control and balance the budget.

1110
01:01:49,840 --> 01:01:51,840
Speaker 1: So that's what I said. He goes he wanted to

1111
01:01:51,920 --> 01:01:54,680
Speaker 1: know why, and I said that those promises mean something

1112
01:01:54,720 --> 01:01:57,280
Speaker 1: to me. Now, can every can? I? Can I count

1113
01:01:57,320 --> 01:02:00,520
Speaker 1: on him keeping those promises? No, but I think he's

1114
01:02:00,520 --> 01:02:03,240
Speaker 1: serious about all of it. All Right, News Roundup and

1115
01:02:03,440 --> 01:02:06,120
Speaker 1: Information Overload Hour the Shawan Hannity Show right down. Our

1116
01:02:06,160 --> 01:02:08,520
Speaker 1: toll free telephone number. We'd love to hear from you today.

1117
01:02:08,520 --> 01:02:10,760
Speaker 1: It's eight hundred nine four one, Shawn if you want

1118
01:02:10,760 --> 01:02:13,000
Speaker 1: to be a part of the program. We have some

1119
01:02:13,160 --> 01:02:16,640
Speaker 1: updates as to the gorilla that was shot at the

1120
01:02:16,680 --> 01:02:21,360
Speaker 1: Cincinnati Zoo after three year old boy wandered into the

1121
01:02:21,720 --> 01:02:26,240
Speaker 1: guerrilla enclosure at the zoo anyway, an investigation regarding the

1122
01:02:26,280 --> 01:02:28,600
Speaker 1: action of the parents and the family that led up

1123
01:02:28,600 --> 01:02:33,000
Speaker 1: to the incident UH is UH not related to zoo operations.

1124
01:02:33,040 --> 01:02:36,880
Speaker 1: According to the Cincinnati Police Department spokesperson, and the little

1125
01:02:36,880 --> 01:02:41,600
Speaker 1: boy's mother, identified as Michelle greg was with the child

1126
01:02:41,680 --> 01:02:44,600
Speaker 1: on Saturday at the zoo when the when the child

1127
01:02:44,640 --> 01:02:47,560
Speaker 1: slipped past the fence and tumbled. The tumbled into the

1128
01:02:47,640 --> 01:02:51,840
Speaker 1: enclosure and anyway, she put a Facebook folk post up

1129
01:02:51,880 --> 01:02:55,600
Speaker 1: that said God protected my child until the authorities were

1130
01:02:55,640 --> 01:02:58,520
Speaker 1: able to get to him. My son is safe. Was

1131
01:02:58,560 --> 01:03:01,320
Speaker 1: able to walk with a cushion and a few scrapes,

1132
01:03:01,360 --> 01:03:05,880
Speaker 1: no broken bones, no internal injuries. As a society, we're

1133
01:03:06,080 --> 01:03:08,880
Speaker 1: quick to judge how a parent could take their eyes

1134
01:03:08,920 --> 01:03:11,919
Speaker 1: off their child, and if anyone knows me, I keep

1135
01:03:11,920 --> 01:03:14,560
Speaker 1: a tight watch on my kids. Accidents happen, but I'm

1136
01:03:14,600 --> 01:03:17,760
Speaker 1: thankful that the right people were in the right place today.

1137
01:03:17,880 --> 01:03:21,960
Speaker 1: The boy's father, identified did not return phone calls the zoo,

1138
01:03:22,360 --> 01:03:24,760
Speaker 1: whose handlers have explained that they had to kill the

1139
01:03:24,760 --> 01:03:28,439
Speaker 1: gorilla because they feared that a tranquilizer gun would take

1140
01:03:28,440 --> 01:03:32,440
Speaker 1: too long to work it might enrage the the animal

1141
01:03:33,320 --> 01:03:36,400
Speaker 1: um who was dragging the child around and a look

1142
01:03:36,480 --> 01:03:40,280
Speaker 1: like a motive some kind anyway is under the review

1143
01:03:40,280 --> 01:03:43,920
Speaker 1: of the U. S. Department of Agriculture, so that aspect

1144
01:03:44,000 --> 01:03:47,320
Speaker 1: of this is now moving forward as well. So what

1145
01:03:47,360 --> 01:03:51,760
Speaker 1: should happen? Joining us, we have Amy, our Dashtian is

1146
01:03:51,800 --> 01:03:55,200
Speaker 1: with us and she is a former CBS reporter turned

1147
01:03:55,200 --> 01:03:58,440
Speaker 1: on their legal analysts. She thinks the mother who found

1148
01:03:58,720 --> 01:04:01,440
Speaker 1: himself in the gorilla habit tad did nothing wrong. Cheryl

1149
01:04:01,480 --> 01:04:04,760
Speaker 1: and Harley Laban as a lawyer, former senior counsel with

1150
01:04:04,800 --> 01:04:07,600
Speaker 1: the U. S. Senate Judiciary Committee and contributing fellow at

1151
01:04:07,600 --> 01:04:11,760
Speaker 1: the National Center for Policy Analysis and Dallas. Amy explained

1152
01:04:11,880 --> 01:04:16,600
Speaker 1: to me, why you think that they did nothing wrong? Okay,

1153
01:04:16,600 --> 01:04:19,920
Speaker 1: because this was clearly an accident. Listen, multiple witnesses said.

1154
01:04:20,000 --> 01:04:22,800
Speaker 1: Even a woman on Facebook her names deater Likens, she

1155
01:04:22,880 --> 01:04:24,640
Speaker 1: put up a whole summary of what happened. She was

1156
01:04:24,760 --> 01:04:27,760
Speaker 1: right there. This mother was with three children. One child

1157
01:04:27,880 --> 01:04:30,640
Speaker 1: was crying, another one wanted to take a picture. Her

1158
01:04:30,680 --> 01:04:34,320
Speaker 1: son's hand was in her back pocket. She turns around

1159
01:04:34,480 --> 01:04:37,400
Speaker 1: all of a sudden, in seconds, in seconds, her son

1160
01:04:37,440 --> 01:04:41,160
Speaker 1: has bolted over the railing. Other adults tried to grab him.

1161
01:04:41,160 --> 01:04:44,280
Speaker 1: He was way too fast. Multiple people said this happened

1162
01:04:44,280 --> 01:04:46,720
Speaker 1: in seconds. It could have happened to anybody. The mother

1163
01:04:46,840 --> 01:04:50,080
Speaker 1: loved her son, okay. Witnesses say she was searching everywhere

1164
01:04:50,360 --> 01:04:52,600
Speaker 1: and then she had a near breakdown when she's he's

1165
01:04:53,080 --> 01:04:57,080
Speaker 1: in this moat, screaming, screaming to him, Mommy loves you,

1166
01:04:57,240 --> 01:04:59,680
Speaker 1: God help us. I mean, this is clearly not a

1167
01:04:59,720 --> 01:05:03,800
Speaker 1: woman and whoever wanted to danger her son furthermore so

1168
01:05:03,840 --> 01:05:06,560
Speaker 1: then so then from your position, well, then from your

1169
01:05:06,640 --> 01:05:08,920
Speaker 1: position if this could happen in Joe seconds and you're

1170
01:05:08,960 --> 01:05:11,680
Speaker 1: blaming the zoo, you would have you blamed the zoo.

1171
01:05:11,720 --> 01:05:14,640
Speaker 1: The zoo needs to be health accountable. Those barriers should

1172
01:05:14,680 --> 01:05:20,160
Speaker 1: be unbreachable, Sean. What's your reaction, Charlotte, So let me

1173
01:05:20,200 --> 01:05:22,800
Speaker 1: just say this much Sean. Um, I'm a mother of

1174
01:05:22,840 --> 01:05:25,720
Speaker 1: a very busy little boy, and I remember he's now eight,

1175
01:05:25,800 --> 01:05:28,560
Speaker 1: but I remember when he was three and he did

1176
01:05:28,680 --> 01:05:33,920
Speaker 1: dart and move quickly. Nevertheless, Um, I do think that

1177
01:05:34,000 --> 01:05:36,960
Speaker 1: mom is partially a fount. I don't know. We don't

1178
01:05:37,000 --> 01:05:40,200
Speaker 1: know what she was doing when the little boy scampered down.

1179
01:05:40,320 --> 01:05:43,000
Speaker 1: Was she staring at her phone? I mean, we don't know.

1180
01:05:43,520 --> 01:05:46,919
Speaker 1: But here's what I also find interesting Amy just said,

1181
01:05:46,960 --> 01:05:52,280
Speaker 1: you know, other other adults tried to grab them. Well,

1182
01:05:52,280 --> 01:05:54,720
Speaker 1: you know, I find that a little interesting because the

1183
01:05:54,760 --> 01:05:58,800
Speaker 1: adults found time to pull out their phones and video

1184
01:05:58,960 --> 01:06:02,680
Speaker 1: this whole thing. What were those other adults doing when

1185
01:06:02,720 --> 01:06:05,600
Speaker 1: this boy scampered down? So, you know, it's fine to

1186
01:06:05,640 --> 01:06:08,000
Speaker 1: say it takes the village will act like a village.

1187
01:06:08,480 --> 01:06:11,440
Speaker 1: And on the point about the zoo, you know this zoo,

1188
01:06:11,520 --> 01:06:15,080
Speaker 1: and I don't want to absolve them of total responsibility

1189
01:06:15,120 --> 01:06:19,160
Speaker 1: because I'm sure someone could come in there and investigate

1190
01:06:19,240 --> 01:06:22,520
Speaker 1: and find that there was some safety violation. But this

1191
01:06:22,640 --> 01:06:25,360
Speaker 1: zoo has been around for thirty eight years. This is

1192
01:06:25,480 --> 01:06:30,120
Speaker 1: the zoo just wasn't erected yesterday. And to my knowledge,

1193
01:06:30,160 --> 01:06:33,280
Speaker 1: I've I've done some research, doesn't seem like they've had

1194
01:06:33,440 --> 01:06:37,720
Speaker 1: an incident before of this nature. So from what I understand, though,

1195
01:06:37,760 --> 01:06:41,160
Speaker 1: weren't there multiple barriers that this kid had to get

1196
01:06:41,200 --> 01:06:43,920
Speaker 1: through to get to this uh, this position? It was

1197
01:06:43,960 --> 01:06:46,360
Speaker 1: considered an open exhibit. So yes, there was a little

1198
01:06:46,440 --> 01:06:50,200
Speaker 1: railing and then there was some bushes three I mean

1199
01:06:50,600 --> 01:06:55,320
Speaker 1: this then it took ten minutes, ten whole minutes, where

1200
01:06:55,360 --> 01:06:57,640
Speaker 1: this little boy is in the moat with a four

1201
01:06:57,720 --> 01:07:00,680
Speaker 1: hundred pound gorilla who can crush coconut with his hands.

1202
01:07:01,040 --> 01:07:07,640
Speaker 1: He could at any moment, and I saw that part.

1203
01:07:07,680 --> 01:07:09,360
Speaker 1: But my question to you is, what do you want

1204
01:07:09,440 --> 01:07:14,760
Speaker 1: them to have a licensed UH sniper available at every

1205
01:07:14,760 --> 01:07:18,160
Speaker 1: exhibit at the zoo? An emergency? Hang on a see,

1206
01:07:18,680 --> 01:07:21,920
Speaker 1: hang on a second. You want a licensed sniper at

1207
01:07:22,000 --> 01:07:24,920
Speaker 1: every exhibit at every zoo? Come on, that's ridiculous. I

1208
01:07:24,960 --> 01:07:27,880
Speaker 1: want an emergency response team. All right, Well, the emergency

1209
01:07:27,880 --> 01:07:32,200
Speaker 1: you ever go to the Bronx hang If you go

1210
01:07:32,280 --> 01:07:34,160
Speaker 1: to the Bronx Zoo in New York, let me tell

1211
01:07:34,160 --> 01:07:35,919
Speaker 1: you the first thing you read when you get in there,

1212
01:07:36,280 --> 01:07:38,880
Speaker 1: don't try and see the whole zoo in one day.

1213
01:07:39,000 --> 01:07:42,160
Speaker 1: It's impossible. They try and warn you. So, I mean,

1214
01:07:42,200 --> 01:07:44,040
Speaker 1: it's that much land. A lot of these zoos. I

1215
01:07:44,200 --> 01:07:46,720
Speaker 1: I don't remember a recall being at the Cincinnati Zoo

1216
01:07:46,720 --> 01:07:49,040
Speaker 1: in particular, but I've been in many zoos around the country.

1217
01:07:49,040 --> 01:07:51,720
Speaker 1: San Diego Zoo, been a many zoos, the Bronx Zoo.

1218
01:07:51,760 --> 01:07:53,960
Speaker 1: I've been to so many zoos. I can't even the

1219
01:07:53,960 --> 01:07:57,160
Speaker 1: Atlanta Zoo, Naples Zoo. I've been all over the place.

1220
01:07:57,200 --> 01:08:00,280
Speaker 1: I have zoo. I'm zooed out UH and I've even

1221
01:08:00,280 --> 01:08:02,760
Speaker 1: been to Disney. We have giraffes looking in your window

1222
01:08:02,880 --> 01:08:05,480
Speaker 1: for crying out loud. So my question to you is,

1223
01:08:05,560 --> 01:08:07,400
Speaker 1: you know, that's a little ridiculous to think that they

1224
01:08:07,400 --> 01:08:10,560
Speaker 1: should have a sniper in every exhibit. That's nuts, you know.

1225
01:08:10,680 --> 01:08:13,440
Speaker 1: You know what, Let me just talk about the legal

1226
01:08:13,440 --> 01:08:15,920
Speaker 1: basis for this, because this really shows the corruption in

1227
01:08:15,960 --> 01:08:19,480
Speaker 1: our justice system that public pressure from animal rights activists

1228
01:08:19,560 --> 01:08:22,479
Speaker 1: get so much media coverage because it's sensational, and and

1229
01:08:22,520 --> 01:08:24,839
Speaker 1: then in turn, the police give in to this pressure.

1230
01:08:25,040 --> 01:08:28,120
Speaker 1: An investigated woman, they could potentially take her child away

1231
01:08:28,439 --> 01:08:31,479
Speaker 1: because the gorilla died. Okay, there's not even a charge

1232
01:08:31,479 --> 01:08:35,760
Speaker 1: for this. Negligent supervision required substantial evidence that she put

1233
01:08:35,800 --> 01:08:38,880
Speaker 1: her child in danger, and think we've foreseen it. I don't,

1234
01:08:38,880 --> 01:08:42,599
Speaker 1: how do you foresee this? I don't think that this

1235
01:08:42,640 --> 01:08:45,080
Speaker 1: woman should have a child taken away from her. I don't.

1236
01:08:45,240 --> 01:08:47,960
Speaker 1: I don't like what's being done, you know, on social media.

1237
01:08:48,520 --> 01:08:51,280
Speaker 1: So I'm sure that they will well investigate. I mean,

1238
01:08:51,320 --> 01:08:53,679
Speaker 1: because that's kind of the process they're going to go through,

1239
01:08:54,400 --> 01:08:57,240
Speaker 1: you know, that's what they're going to do. And in

1240
01:08:57,280 --> 01:09:01,200
Speaker 1: my opinion, you know what it's saying, the gorilla's gone.

1241
01:09:01,360 --> 01:09:03,679
Speaker 1: But you know what, the gorilla had to go. He's

1242
01:09:03,760 --> 01:09:06,400
Speaker 1: a wild are rumb like I'm I'm sure he was

1243
01:09:06,439 --> 01:09:08,960
Speaker 1: a fine fellow, but he had to die. This wasn't

1244
01:09:09,000 --> 01:09:12,320
Speaker 1: Sophie's choice. Okay, there weren't equal choices. It was the

1245
01:09:12,320 --> 01:09:15,400
Speaker 1: gorilla or the boy. Well, there's no to me, there's

1246
01:09:15,400 --> 01:09:16,880
Speaker 1: no issue. I don't think that. I don't think the

1247
01:09:17,000 --> 01:09:20,439
Speaker 1: zoo at any No, there's no other choice. But but

1248
01:09:20,520 --> 01:09:23,760
Speaker 1: you know, here's the thing though, let's just unfortunately think

1249
01:09:23,840 --> 01:09:26,040
Speaker 1: for a minute, what would have happened if this little

1250
01:09:26,040 --> 01:09:29,760
Speaker 1: boy had died? On what happened if this little boy

1251
01:09:29,840 --> 01:09:33,440
Speaker 1: had a concussion and on was you know, um severely

1252
01:09:33,680 --> 01:09:37,160
Speaker 1: brain trauma, right, I mean, then we would have been

1253
01:09:37,479 --> 01:09:39,559
Speaker 1: I'm sure the lawyers would have been lined up to

1254
01:09:39,640 --> 01:09:42,800
Speaker 1: represent the mother. The lawyers might be the lawyers might

1255
01:09:42,840 --> 01:09:45,040
Speaker 1: be lined up. Now this is that this is yet

1256
01:09:45,080 --> 01:09:48,320
Speaker 1: to be resolved completely. But you know, the sad thing is,

1257
01:09:48,360 --> 01:09:51,000
Speaker 1: what does what does this mean for future zoo goers

1258
01:09:51,040 --> 01:09:53,400
Speaker 1: that they're going to now have barriers so high and

1259
01:09:53,520 --> 01:09:57,080
Speaker 1: so wide and so you know obfuscated. I mean that

1260
01:09:57,120 --> 01:09:59,040
Speaker 1: you're not gonna be able to see anything in the zoo.

1261
01:09:59,160 --> 01:10:01,640
Speaker 1: The whole idea, uh is, you want it safe and

1262
01:10:01,640 --> 01:10:03,920
Speaker 1: secure for the people. But you know, I've been a

1263
01:10:04,160 --> 01:10:07,320
Speaker 1: I've been to exhibits where it seems like a lion

1264
01:10:07,560 --> 01:10:10,760
Speaker 1: or a tiger or a bear is very capable of

1265
01:10:10,880 --> 01:10:15,519
Speaker 1: jumping over the barriers that they have. And you know, look,

1266
01:10:16,600 --> 01:10:19,960
Speaker 1: life entitled life intels a certain level of risk. Get

1267
01:10:20,000 --> 01:10:24,040
Speaker 1: on an airplane, Yeah, I guess there's a small risk

1268
01:10:24,120 --> 01:10:27,000
Speaker 1: that you're taking getting on an airplane. I feel particularly

1269
01:10:27,040 --> 01:10:29,960
Speaker 1: safe in airplanes. You get in a car, it's dangerous.

1270
01:10:29,960 --> 01:10:31,679
Speaker 1: You walk through the streets of New York, it's even

1271
01:10:31,720 --> 01:10:35,400
Speaker 1: more dangerous than any car. And these things happen in life.

1272
01:10:35,600 --> 01:10:37,439
Speaker 1: And I guess now the zoo is going to have

1273
01:10:37,479 --> 01:10:40,519
Speaker 1: to build a barrier that is so high that you

1274
01:10:40,520 --> 01:10:43,080
Speaker 1: know you're gonna need a twenty or forty ft ladder

1275
01:10:43,080 --> 01:10:46,160
Speaker 1: to climb over it. I think there is also need

1276
01:10:46,240 --> 01:10:51,680
Speaker 1: to understand that zoos are places well whild animals are

1277
01:10:51,840 --> 01:10:55,000
Speaker 1: kept in a cage, and most likely they're not real

1278
01:10:55,080 --> 01:10:59,479
Speaker 1: happy about it. So it's incompet upon parents to really

1279
01:10:59,520 --> 01:11:01,400
Speaker 1: I mean, I know, again I said, I have a

1280
01:11:01,400 --> 01:11:04,839
Speaker 1: busy little boy, so I get this, But really, parents

1281
01:11:05,040 --> 01:11:07,879
Speaker 1: really need to keep a tight rein on their children,

1282
01:11:08,000 --> 01:11:11,719
Speaker 1: because again, these are wild beasts. And what do wild

1283
01:11:11,800 --> 01:11:15,759
Speaker 1: beasts do. They eat little children, they harm, They harm

1284
01:11:15,960 --> 01:11:19,160
Speaker 1: humans because that's what they are there beasts. They're not

1285
01:11:19,240 --> 01:11:22,599
Speaker 1: capable of Every child listens to their parents, and short

1286
01:11:22,640 --> 01:11:25,280
Speaker 1: of putting a leash on a child, these things can happen.

1287
01:11:25,600 --> 01:11:27,800
Speaker 1: I mean, the fact that this child was able to

1288
01:11:27,840 --> 01:11:31,519
Speaker 1: get through the barrier speaks for itself. Obviously it wasn't sufficient.

1289
01:11:31,560 --> 01:11:34,280
Speaker 1: We're not saying you have to build a wall like

1290
01:11:34,360 --> 01:11:37,320
Speaker 1: Donald Trump's wall, okay, but what I'm saying is you

1291
01:11:37,400 --> 01:11:40,080
Speaker 1: have to put something up there so that a fast,

1292
01:11:40,160 --> 01:11:43,519
Speaker 1: roombunctious little kid who you know, sees the girls and

1293
01:11:43,560 --> 01:11:46,599
Speaker 1: doesn't doesn't understand the risk to himself, can't get in there.

1294
01:11:46,760 --> 01:11:49,880
Speaker 1: There should be no way. I mean, again, Amy, though,

1295
01:11:50,120 --> 01:11:53,519
Speaker 1: this zoo has been around for thirty eight years and

1296
01:11:53,600 --> 01:11:56,000
Speaker 1: their rock zoo has been around the same day ago

1297
01:11:56,120 --> 01:12:00,120
Speaker 1: to this. I mean, these incidences are pretty aware, are

1298
01:12:01,200 --> 01:12:03,680
Speaker 1: you know what? Though? Sometimes it takes something like this

1299
01:12:03,760 --> 01:12:06,920
Speaker 1: to happen for there to be changed unfortunately, and figure

1300
01:12:06,960 --> 01:12:09,439
Speaker 1: out the basic boys okar need to keep up tighter

1301
01:12:09,439 --> 01:12:12,519
Speaker 1: rein on their children, and that might be easier than

1302
01:12:12,680 --> 01:12:16,680
Speaker 1: all these zoos having to take all these additional measures

1303
01:12:16,680 --> 01:12:19,360
Speaker 1: when you know, if you have a rambunctious little boy,

1304
01:12:19,680 --> 01:12:22,720
Speaker 1: maybe taking your rambunctious little boy to the zoos might

1305
01:12:22,760 --> 01:12:24,760
Speaker 1: not be the right now. And you know what, I

1306
01:12:24,760 --> 01:12:28,040
Speaker 1: will agree with you in that inside who your jungle,

1307
01:12:28,160 --> 01:12:30,679
Speaker 1: Jim right, I will agree that she was taking a picture.

1308
01:12:30,920 --> 01:12:33,160
Speaker 1: And you know what, that is the problem in society today.

1309
01:12:33,160 --> 01:12:37,080
Speaker 1: Everybody's running to post to Facebook and so that second

1310
01:12:37,080 --> 01:12:39,360
Speaker 1: that you take your kid off your your eyes off

1311
01:12:39,400 --> 01:12:41,599
Speaker 1: your kid, that could make the difference. So think twice

1312
01:12:41,640 --> 01:12:44,240
Speaker 1: before you're running to post and filter and tag on

1313
01:12:44,560 --> 01:12:47,880
Speaker 1: and tweet your pictures. Agreed, And again, we don't know

1314
01:12:47,920 --> 01:12:50,920
Speaker 1: what she was doing. She maybe she was looking for

1315
01:12:50,960 --> 01:12:53,120
Speaker 1: a snack for her kid, Maybe she was looking at

1316
01:12:53,160 --> 01:12:56,880
Speaker 1: her phone. Clearly she was distressed because her eyes were

1317
01:12:56,920 --> 01:13:00,200
Speaker 1: not on her child that much. We know. You know,

1318
01:13:00,320 --> 01:13:03,120
Speaker 1: I I have a hard time and this. I really

1319
01:13:03,160 --> 01:13:05,519
Speaker 1: struggle with this because I don't know. I mean, I'm

1320
01:13:05,560 --> 01:13:08,800
Speaker 1: just a crazy helicopter parent. And I'm the type of

1321
01:13:08,800 --> 01:13:11,200
Speaker 1: parent that when my kids were young and theydn't even

1322
01:13:11,200 --> 01:13:12,920
Speaker 1: to this day and they're older, I go in their

1323
01:13:12,960 --> 01:13:15,000
Speaker 1: room and I checked at their breathing. You know, I

1324
01:13:15,040 --> 01:13:18,040
Speaker 1: put up barriers all over my house, especially where there's

1325
01:13:18,040 --> 01:13:20,720
Speaker 1: a banister or some type of railing, and I have

1326
01:13:20,800 --> 01:13:23,680
Speaker 1: extended the railing up, you know, ten feet, so that

1327
01:13:23,720 --> 01:13:25,439
Speaker 1: no kid could reach over and say, oh, I want

1328
01:13:25,439 --> 01:13:28,679
Speaker 1: to touch the light or whatever, or throwing something down

1329
01:13:28,680 --> 01:13:31,320
Speaker 1: to their friends and leaning over and God forbid they fall.

1330
01:13:31,800 --> 01:13:34,479
Speaker 1: I I paid a lot of money for a a

1331
01:13:34,560 --> 01:13:38,160
Speaker 1: pool cover. I've had three different houses in New York,

1332
01:13:38,240 --> 01:13:40,320
Speaker 1: and each one I paid for a pool cover that

1333
01:13:40,400 --> 01:13:42,920
Speaker 1: an elephant can walk on, so that if I don't

1334
01:13:42,920 --> 01:13:45,720
Speaker 1: want a kid dying in my pool, so I I

1335
01:13:45,840 --> 01:13:48,519
Speaker 1: just take it to a different extreme. I'm torn though,

1336
01:13:48,600 --> 01:13:52,600
Speaker 1: between knowing that kids can very quickly do something that

1337
01:13:52,680 --> 01:13:55,040
Speaker 1: you're not aware of, like put something in their mouth

1338
01:13:55,080 --> 01:13:58,720
Speaker 1: and then they start choking or or maybe wandering off

1339
01:13:58,840 --> 01:14:02,519
Speaker 1: very quickly in a department store or supermarket. That's happened

1340
01:14:02,520 --> 01:14:05,320
Speaker 1: to me. Scares the living daylights out of you. And

1341
01:14:05,360 --> 01:14:08,080
Speaker 1: then I'm also and then I'm also curious, how did

1342
01:14:08,080 --> 01:14:11,000
Speaker 1: this kid get over all those barriers so quickly? Right,

1343
01:14:11,200 --> 01:14:14,439
Speaker 1: There's really there's no simple answer to this, and you know,

1344
01:14:14,479 --> 01:14:17,000
Speaker 1: everybody is so quick to criticize, and you have these

1345
01:14:17,040 --> 01:14:20,120
Speaker 1: animal rights activists who want to hold somebody accountable for

1346
01:14:20,160 --> 01:14:23,040
Speaker 1: an accident. That's what it is. It has an accident,

1347
01:14:23,400 --> 01:14:25,680
Speaker 1: you have to take it for what it is. Is

1348
01:14:25,680 --> 01:14:28,519
Speaker 1: it an accident or is it possible that they didn't

1349
01:14:28,760 --> 01:14:31,280
Speaker 1: do their job of parenting? And I know that's a

1350
01:14:31,320 --> 01:14:33,559
Speaker 1: hard question and a harsh question, but is it a

1351
01:14:33,560 --> 01:14:35,800
Speaker 1: fair question? I went it's fair. But I went to

1352
01:14:35,840 --> 01:14:38,680
Speaker 1: the witness accounts and there are multiple people who were

1353
01:14:38,800 --> 01:14:41,160
Speaker 1: right there, and they all defend the mother. They all

1354
01:14:41,160 --> 01:14:43,439
Speaker 1: say this happened in seconds. The kid was so fast,

1355
01:14:43,479 --> 01:14:46,000
Speaker 1: we couldn't even grab him. One woman says her husband

1356
01:14:46,040 --> 01:14:48,280
Speaker 1: wants to go in after him. The whole point, why

1357
01:14:48,320 --> 01:14:51,759
Speaker 1: weren't they able? If they were so you know, worried

1358
01:14:51,800 --> 01:14:56,719
Speaker 1: about this, why didn't they grab this shop? Even when

1359
01:14:56,760 --> 01:15:01,280
Speaker 1: I grabbed a child from traffic in a parking lot,

1360
01:15:01,600 --> 01:15:04,880
Speaker 1: grabbed the child who was going to run across the street.

1361
01:15:05,000 --> 01:15:07,240
Speaker 1: I've done it, and you do have to be quick.

1362
01:15:07,400 --> 01:15:11,559
Speaker 1: But funny they found time to record the whole thing,

1363
01:15:11,800 --> 01:15:14,280
Speaker 1: but nobody could grab the child. I mean, it's funny.

1364
01:15:14,280 --> 01:15:16,840
Speaker 1: They can whip out their phones that quick enough, but

1365
01:15:16,960 --> 01:15:20,000
Speaker 1: nobody could grab this child. I mean, this is this

1366
01:15:20,080 --> 01:15:23,040
Speaker 1: is the society we're living in. You know, everybody wants

1367
01:15:23,040 --> 01:15:25,840
Speaker 1: to record and observe. Well, when it's time to get

1368
01:15:25,880 --> 01:15:29,040
Speaker 1: your hands dirty, people aren't doing that. That's not true.

1369
01:15:29,080 --> 01:15:30,719
Speaker 1: There was a man who wanted to go in after

1370
01:15:30,840 --> 01:15:32,280
Speaker 1: it was going to jump into the moat, and by

1371
01:15:32,320 --> 01:15:34,360
Speaker 1: the way, the mother was going to jump into the moat.

1372
01:15:34,400 --> 01:15:36,639
Speaker 1: They were both gonna jump fifteen feet into the moat

1373
01:15:36,720 --> 01:15:39,320
Speaker 1: in with the gorilla, and people had to hold them back.

1374
01:15:39,439 --> 01:15:42,640
Speaker 1: The mother ended another man whose wife wouldn't let him

1375
01:15:42,680 --> 01:15:44,840
Speaker 1: go in because she thought that her husband would be killed.

1376
01:15:45,360 --> 01:15:49,000
Speaker 1: Time understanding how this kid was able? This three year

1377
01:15:49,000 --> 01:15:53,799
Speaker 1: old was able to scale a three foot how amy,

1378
01:15:53,880 --> 01:15:58,200
Speaker 1: please explinking me how a three year old? Listen, it's great,

1379
01:15:58,760 --> 01:16:00,920
Speaker 1: how could it? Then it's to me how a three

1380
01:16:01,000 --> 01:16:03,680
Speaker 1: year old could four fiftet and not be killed, but

1381
01:16:03,680 --> 01:16:07,240
Speaker 1: an adult could. Children are much more agile than adults.

1382
01:16:07,240 --> 01:16:09,680
Speaker 1: There they would stand a lot. I mean, if you

1383
01:16:09,840 --> 01:16:12,040
Speaker 1: bang a child's head, they're going to bounce back a

1384
01:16:12,040 --> 01:16:14,479
Speaker 1: lot faster than an older, an eight year old person.

1385
01:16:14,560 --> 01:16:16,760
Speaker 1: So that's just the way they are. Listen. Did you

1386
01:16:16,800 --> 01:16:19,880
Speaker 1: see the way that this gorilla was dragging the boy?

1387
01:16:19,920 --> 01:16:22,240
Speaker 1: It looked like he was water skiing with his head

1388
01:16:22,680 --> 01:16:24,720
Speaker 1: I mean, was he being protected the way if you

1389
01:16:24,880 --> 01:16:27,680
Speaker 1: if you actually read on the psychology Terry Naples, a

1390
01:16:27,720 --> 01:16:30,719
Speaker 1: guy that I know in Atlanta at the Zoo Atlanta,

1391
01:16:30,880 --> 01:16:33,640
Speaker 1: and I've known him for many, many years, and he

1392
01:16:33,680 --> 01:16:36,680
Speaker 1: actually refers to that as as gorilla play. I mean

1393
01:16:36,840 --> 01:16:41,200
Speaker 1: that was I'm sure it was. But you can't four

1394
01:16:41,640 --> 01:16:43,639
Speaker 1: fifty and you can't risk the child's life. All right,

1395
01:16:43,640 --> 01:16:46,599
Speaker 1: Thank you both for a very passionate debate. We appreciate it.

1396
01:16:46,680 --> 01:16:48,640
Speaker 1: You know that you seem I don't know what it is.

1397
01:16:48,680 --> 01:16:51,240
Speaker 1: I talk about the gorillas, and you guys seem animated

1398
01:16:51,320 --> 01:16:55,240
Speaker 1: in there. Why is everybody so animated? Jason Wye? Because

1399
01:16:55,320 --> 01:16:59,080
Speaker 1: nobody likes to see an animal get shot. I agree

1400
01:16:59,080 --> 01:17:01,479
Speaker 1: with us. It's a nick stream circumstance, which is what

1401
01:17:01,600 --> 01:17:04,559
Speaker 1: this obviously was, an extreme circumstance. Nobody wants to see

1402
01:17:04,600 --> 01:17:07,720
Speaker 1: the gorilla get hurt. Maybe Ethan does, but I don't know.

1403
01:17:07,920 --> 01:17:10,240
Speaker 1: I mean, I think that the parents should be charged.

1404
01:17:10,640 --> 01:17:13,040
Speaker 1: Stop if you bring your kid into New York City

1405
01:17:13,120 --> 01:17:16,280
Speaker 1: the concrete jungle or is a zoo and they get

1406
01:17:16,360 --> 01:17:18,800
Speaker 1: hit by a car, are you gonna blame the car? No,

1407
01:17:18,880 --> 01:17:21,439
Speaker 1: You're gonna blame the parents for not holding you're wrong.

1408
01:17:21,520 --> 01:17:23,240
Speaker 1: I'm gonna tell you right now what happens in New

1409
01:17:23,320 --> 01:17:25,639
Speaker 1: York because you have these nutty bikers that drive all

1410
01:17:25,680 --> 01:17:27,680
Speaker 1: over the place on their bicycles and they go right

1411
01:17:27,720 --> 01:17:32,360
Speaker 1: in front of cars. It's not because if you you

1412
01:17:32,520 --> 01:17:36,240
Speaker 1: have to buy law, you are in charge and must

1413
01:17:36,360 --> 01:17:39,000
Speaker 1: have control of your vehicle at all times. But the

1414
01:17:39,200 --> 01:17:41,880
Speaker 1: bikers are jerks. You can't protect your children from these bikes. Okay,

1415
01:17:42,000 --> 01:17:44,040
Speaker 1: it doesn't matter. You know how many murders that we

1416
01:17:44,040 --> 01:17:47,559
Speaker 1: were up bike, it doesn't matter. Okay, So you're standing

1417
01:17:47,600 --> 01:17:50,000
Speaker 1: there on the corner and some jerk biker who's supposed

1418
01:17:50,040 --> 01:17:53,280
Speaker 1: to stop, and it's not that's it's your child, it's

1419
01:17:53,280 --> 01:17:55,680
Speaker 1: your fault. No, I'm no, No, we're talking about two

1420
01:17:55,720 --> 01:17:58,320
Speaker 1: different things. I'm saying you, as a driver, if you

1421
01:17:58,400 --> 01:18:00,599
Speaker 1: hit a guy on a bike, that means you didn't

1422
01:18:00,640 --> 01:18:04,120
Speaker 1: have control of your vehicle. Especially Yeah, well it's the

1423
01:18:04,160 --> 01:18:06,320
Speaker 1: same thing. I mean, you know, if a kid gets

1424
01:18:06,360 --> 01:18:10,040
Speaker 1: hit by an ongoing car, unless the driver is drunk

1425
01:18:10,120 --> 01:18:13,200
Speaker 1: or intoxicated or drugs or some kind you right, But

1426
01:18:13,320 --> 01:18:19,280
Speaker 1: for example, when you're crossing the street like Feller Center tourists, Yeah,

1427
01:18:19,320 --> 01:18:21,679
Speaker 1: I see them every day. And this is what they're doing.

1428
01:18:21,760 --> 01:18:26,479
Speaker 1: These these people, everybody's taken film and everyone right. And

1429
01:18:26,520 --> 01:18:28,880
Speaker 1: they're three year old, they're four year old. Their five

1430
01:18:28,960 --> 01:18:31,840
Speaker 1: year old just came from seeing some beautiful show here

1431
01:18:31,880 --> 01:18:33,760
Speaker 1: at Radio City, you know what, the Muppets, and they're

1432
01:18:33,800 --> 01:18:37,559
Speaker 1: all happy and talking about the Muppets. Meanwhile, meanwhile, while

1433
01:18:37,560 --> 01:18:39,920
Speaker 1: they're holding their muppets, you know that they're so excited

1434
01:18:39,920 --> 01:18:43,120
Speaker 1: that they have there's a stalker, a robber, a pickpocketer

1435
01:18:43,479 --> 01:18:45,360
Speaker 1: and mom and dad aren't holding on their kids and

1436
01:18:45,400 --> 01:18:48,280
Speaker 1: a gang initiation. You forgot that. I forget about it. Listen.

1437
01:18:48,439 --> 01:18:51,000
Speaker 1: I have gotten into more arguments and that subway concourse

1438
01:18:51,000 --> 01:18:52,639
Speaker 1: with these tourists because now that I have a kid,

1439
01:18:52,680 --> 01:18:54,479
Speaker 1: you know, I think I know everything, and so I

1440
01:18:54,520 --> 01:18:56,559
Speaker 1: go up to them and I say things like, excuse me,

1441
01:18:57,000 --> 01:19:01,160
Speaker 1: excuse me. Your child is alone. Your child it's fifteen

1442
01:19:01,200 --> 01:19:03,680
Speaker 1: feet behind you. I could have taken your child, so

1443
01:19:03,760 --> 01:19:05,360
Speaker 1: all bond pan right now, we could have a coffee.

1444
01:19:05,360 --> 01:19:09,600
Speaker 1: You would have never known the difference. Wake up that

1445
01:19:15,040 --> 01:19:19,000
Speaker 1: whatever it's called. Anyway, Lauren, you're the big animal load now.

1446
01:19:19,040 --> 01:19:22,360
Speaker 1: Lauren's been bringing a new dog treat to the studio.

1447
01:19:22,439 --> 01:19:24,880
Speaker 1: She's a little annoyed with me because I'm teaching Treat

1448
01:19:24,920 --> 01:19:27,280
Speaker 1: new tricks and she doesn't like them. Treat is a

1449
01:19:27,360 --> 01:19:31,400
Speaker 1: canine companion for independence, and she is in training to

1450
01:19:31,479 --> 01:19:34,200
Speaker 1: be at least Treat is alive. The last dog you

1451
01:19:34,280 --> 01:19:36,760
Speaker 1: brought in was like half dead. That's a didn't even

1452
01:19:36,840 --> 01:19:39,680
Speaker 1: budge Moats was great, you're just you're all heart sha.

1453
01:19:40,280 --> 01:19:42,479
Speaker 1: Now the dog. The dog didn't even play. I'm like,

1454
01:19:42,520 --> 01:19:45,000
Speaker 1: I want a dog that's live and plays. No, no, no, no,

1455
01:19:45,000 --> 01:19:48,880
Speaker 1: no no. Lauren is a saint and is training and

1456
01:19:50,080 --> 01:19:54,719
Speaker 1: save a life to aid a life. You or a ruckous, rousing, rebel,

1457
01:19:55,000 --> 01:19:58,760
Speaker 1: rousing starter. She's mad that the dog listens to me

1458
01:19:59,040 --> 01:20:02,400
Speaker 1: in two seconds more than the dog will. Lauren's like, now,

1459
01:20:02,479 --> 01:20:05,800
Speaker 1: treats it treat people in your aguire listening to you,

1460
01:20:05,800 --> 01:20:10,000
Speaker 1: You're screaming, and I'm like, down, down, That's not how

1461
01:20:10,040 --> 01:20:11,639
Speaker 1: you say it. How do I do it? You say

1462
01:20:11,680 --> 01:20:14,240
Speaker 1: it way louder than that. Down. No, because I do

1463
01:20:14,280 --> 01:20:18,519
Speaker 1: it to Marley all the time, Marley, down, you never

1464
01:20:18,520 --> 01:20:22,240
Speaker 1: say the first time you said down was today. I

1465
01:20:22,360 --> 01:20:24,840
Speaker 1: thought the dog had a jump. And then you come

1466
01:20:24,880 --> 01:20:28,040
Speaker 1: in here blush because she put the she puts the

1467
01:20:28,120 --> 01:20:30,760
Speaker 1: dog in prison, in that in that cell that you

1468
01:20:30,880 --> 01:20:33,560
Speaker 1: built in there, and that's horrible. It's a huge, dinormous

1469
01:20:33,600 --> 01:20:38,000
Speaker 1: crate filled with pillows and it's like doggy Alcatraz kind of.

1470
01:20:38,000 --> 01:20:41,479
Speaker 1: It's true, right, I mean, she's got bones, she's got

1471
01:20:41,520 --> 01:20:43,960
Speaker 1: a peanut butter cong she is living it up in

1472
01:20:43,960 --> 01:20:46,200
Speaker 1: the air. Don't you worry. I want to write her

1473
01:20:46,240 --> 01:20:47,920
Speaker 1: a letter. We'll give it to her. Listen, all I'm

1474
01:20:47,920 --> 01:20:49,920
Speaker 1: saying is that the dog listens to me more than

1475
01:20:49,960 --> 01:20:51,920
Speaker 1: you and you can't stand it. That's not my fault

1476
01:20:52,120 --> 01:20:54,720
Speaker 1: that it's the same thing. Is your fault? Why is

1477
01:20:54,720 --> 01:20:56,920
Speaker 1: it my fault? She's trying to train the dog to

1478
01:20:57,000 --> 01:20:59,160
Speaker 1: beat to a tune to her voice, and you come

1479
01:20:59,200 --> 01:21:02,080
Speaker 1: in here, Hey, hey, y'all screaming, and all of a sudden,

1480
01:21:02,120 --> 01:21:04,519
Speaker 1: the dogs all hyper like you gave a like, you

1481
01:21:04,560 --> 01:21:08,920
Speaker 1: gave a little liked. But when I say when I

1482
01:21:09,000 --> 01:21:11,280
Speaker 1: say sit, the dog sits. When I say down, the

1483
01:21:11,439 --> 01:21:13,160
Speaker 1: dog goes down. When I say give me your paw,

1484
01:21:13,200 --> 01:21:15,320
Speaker 1: the dog gives me the paw. If you ask Lauren

1485
01:21:15,439 --> 01:21:20,000
Speaker 1: Sunshine over there to ask those request, those uh, those actions,

1486
01:21:20,040 --> 01:21:22,360
Speaker 1: the dog doesn't do it. Does You might have a

1487
01:21:22,400 --> 01:21:25,360
Speaker 1: little bit more of a commanding voice. I will give

1488
01:21:25,400 --> 01:21:28,679
Speaker 1: you that, but she does listen to me. Not really. Now,

1489
01:21:28,720 --> 01:21:30,720
Speaker 1: if I'm in the same room and it's between me

1490
01:21:30,760 --> 01:21:34,120
Speaker 1: and you, that dog is listening to me, We're gonna

1491
01:21:34,120 --> 01:21:37,400
Speaker 1: test this out for real. I want to know. No,

1492
01:21:37,600 --> 01:21:40,080
Speaker 1: we weren't. Really Do you want to have attack? How

1493
01:21:40,160 --> 01:21:41,600
Speaker 1: much do you want to bet? And I'll give you

1494
01:21:41,600 --> 01:21:45,040
Speaker 1: a hundred to one odds that I win, uh, a

1495
01:21:45,120 --> 01:21:48,200
Speaker 1: hundred dollars? All right, I want to end on this bet.

1496
01:21:48,240 --> 01:21:50,559
Speaker 1: I take more inside Lauren or you. Now you're gonna

1497
01:21:50,560 --> 01:21:52,920
Speaker 1: spend the next ten hours training the dog to listen

1498
01:21:52,960 --> 01:21:57,479
Speaker 1: to Lauren. Who can we get to train you? By

1499
01:21:57,520 --> 01:22:00,320
Speaker 1: the way, nobody's training me. That doesn't happen. I'm the Remember,

1500
01:22:00,360 --> 01:22:03,320
Speaker 1: I'm actually the boss. It's the Sean Hannity Show. Hello.

1501
01:22:03,760 --> 01:22:05,920
Speaker 1: I know none of you treat me like a boar

1502
01:22:06,040 --> 01:22:08,160
Speaker 1: about that, but we just weren't. Nobody treats me like

1503
01:22:08,200 --> 01:22:10,000
Speaker 1: a bus around here. Every one tells me to be talking.

1504
01:22:11,280 --> 01:22:16,000
Speaker 1: You're annoying. That was funny yesterday. Back to our phones.

1505
01:22:16,280 --> 01:22:20,479
Speaker 1: Teresa is in Tennessee on the Sean Hannity Show. Hey Teresa,

1506
01:22:20,920 --> 01:22:23,400
Speaker 1: Hello there, thank you for what you do. Thank you.

1507
01:22:23,640 --> 01:22:26,200
Speaker 1: Tim caller, but it's nice to be part of the conversation.

1508
01:22:26,479 --> 01:22:29,479
Speaker 1: I'm glad you called a shame about this thing that

1509
01:22:29,560 --> 01:22:32,599
Speaker 1: happened with the gorilla. And we're also sensitive, but somebody's

1510
01:22:32,600 --> 01:22:35,360
Speaker 1: gotten at the tough calls had to happen. Would have

1511
01:22:35,400 --> 01:22:39,120
Speaker 1: been worse if there has been the baby. So anyway,

1512
01:22:39,160 --> 01:22:42,360
Speaker 1: that's not why I called um talk about tough calls

1513
01:22:42,880 --> 01:22:45,840
Speaker 1: and Trump with the media. I think he's doing what

1514
01:22:45,880 --> 01:22:48,519
Speaker 1: he has to do, setting people straight straight, letting them

1515
01:22:48,520 --> 01:22:51,400
Speaker 1: know stop the deception. And I don't think that that's arrogance.

1516
01:22:51,960 --> 01:22:54,880
Speaker 1: I love what he did to the media yesterday. And

1517
01:22:54,920 --> 01:22:57,479
Speaker 1: I noticed that the journalists now are all up in arms.

1518
01:22:57,479 --> 01:23:00,679
Speaker 1: Their widow feelings have been hurt. But you know, I'm

1519
01:23:00,720 --> 01:23:03,320
Speaker 1: tired of Katie currk getting the past. They've done this

1520
01:23:03,400 --> 01:23:09,040
Speaker 1: crap for years, you know, Dan Rather, Katie Currik, Brian Williams,

1521
01:23:09,080 --> 01:23:12,280
Speaker 1: all of these people all of these years. You know what,

1522
01:23:12,479 --> 01:23:15,360
Speaker 1: they've been put on a pedestal that all been overpaid,

1523
01:23:15,400 --> 01:23:18,559
Speaker 1: by the way, I include myself in that group. And

1524
01:23:18,400 --> 01:23:21,320
Speaker 1: and as much as why does a TV or radio

1525
01:23:21,400 --> 01:23:25,040
Speaker 1: host I'm serious now get a lot more money than

1526
01:23:25,120 --> 01:23:28,839
Speaker 1: say somebody that is a building contract or a plumber

1527
01:23:28,920 --> 01:23:31,880
Speaker 1: or electrician. Now you can argue that, all right, there's

1528
01:23:31,920 --> 01:23:33,920
Speaker 1: only a certain number of people that can do this,

1529
01:23:34,040 --> 01:23:36,920
Speaker 1: and and and maybe there's a certain talent level that

1530
01:23:36,960 --> 01:23:39,360
Speaker 1: not everybody has. All right, I'll argue that. But in

1531
01:23:39,400 --> 01:23:43,719
Speaker 1: all honesty, we're treated like we are treated way beyond

1532
01:23:43,760 --> 01:23:47,680
Speaker 1: what we deserve in the media, and I'm speaking firsthand.

1533
01:23:48,200 --> 01:23:51,160
Speaker 1: People treat you better than you deserve to be treated.

1534
01:23:51,640 --> 01:23:54,120
Speaker 1: And I know because I worked in restaurants for ten

1535
01:23:54,200 --> 01:23:56,880
Speaker 1: years and I worked in construction for ten years and

1536
01:23:56,920 --> 01:23:59,640
Speaker 1: I never got treated like I'm treated now and all

1537
01:23:59,680 --> 01:24:02,400
Speaker 1: of us and these people have agendas. They try to

1538
01:24:02,439 --> 01:24:06,400
Speaker 1: convince you there's something they're not which is fair, objective,

1539
01:24:06,720 --> 01:24:09,559
Speaker 1: and balanced. And there are a bunch of phonies. And

1540
01:24:09,600 --> 01:24:11,720
Speaker 1: all they do is they go to these big parties

1541
01:24:11,920 --> 01:24:14,840
Speaker 1: and talk about the middle of America with their nose

1542
01:24:14,960 --> 01:24:17,639
Speaker 1: stuck up their rear ends. And I'm sick of these phonies.

1543
01:24:17,840 --> 01:24:22,240
Speaker 1: They're being exposed in ways that I never knew where possible,

1544
01:24:22,320 --> 01:24:25,240
Speaker 1: and I'm so happy it's happening. The New York Times

1545
01:24:25,320 --> 01:24:29,520
Speaker 1: and Katie Current and all these other the the establishment Republicans,

1546
01:24:29,720 --> 01:24:32,200
Speaker 1: they're all a bunch of phonies. I can't stand any

1547
01:24:32,240 --> 01:24:34,320
Speaker 1: of them because they don't really give a rip, you

1548
01:24:34,320 --> 01:24:36,240
Speaker 1: know what, bother, you know what, you know what my

1549
01:24:36,360 --> 01:24:39,479
Speaker 1: motivation to fix the country is about. I keep giving

1550
01:24:39,520 --> 01:24:42,920
Speaker 1: out nit numbers. Those numbers are real people out of

1551
01:24:42,960 --> 01:24:45,840
Speaker 1: the labor force, real people in poverty, real people on

1552
01:24:45,960 --> 01:24:49,840
Speaker 1: food stamps, real people. One in five families, not one

1553
01:24:49,960 --> 01:24:53,400
Speaker 1: family member can get a freaking job because they've screwed

1554
01:24:53,400 --> 01:24:58,240
Speaker 1: this country up so bad. And you know, and you know,

1555
01:24:58,320 --> 01:25:03,400
Speaker 1: they're they're they're all out, they lost touch. I'll say

1556
01:25:03,400 --> 01:25:07,840
Speaker 1: that they've lost you know. The thing is that they've

1557
01:25:07,880 --> 01:25:10,280
Speaker 1: been taught very well how to pull people's heart strings,

1558
01:25:10,720 --> 01:25:13,479
Speaker 1: and they pull everything in the wrong directions by pulling

1559
01:25:13,479 --> 01:25:16,799
Speaker 1: on people's heart strings. And sensitive people men and women

1560
01:25:16,840 --> 01:25:19,639
Speaker 1: are very subject to that. But this is not arrogant.

1561
01:25:19,760 --> 01:25:22,400
Speaker 1: This is saying, look, I'm not gonna put up with

1562
01:25:22,560 --> 01:25:25,880
Speaker 1: the deception because you're taking you twist everything to where

1563
01:25:25,880 --> 01:25:28,720
Speaker 1: it sounds like something else. It's not fair and it's

1564
01:25:28,720 --> 01:25:31,320
Speaker 1: not true. So get used to my language in my

1565
01:25:31,400 --> 01:25:34,479
Speaker 1: conversation because we're gonna deal with what's true and what's fair.

1566
01:25:34,479 --> 01:25:36,360
Speaker 1: And I think that's really the message that he's putting

1567
01:25:36,360 --> 01:25:39,080
Speaker 1: out there. I actually think I went through this at

1568
01:25:39,080 --> 01:25:41,400
Speaker 1: my email to this guy today that I mentioned earlier,

1569
01:25:41,840 --> 01:25:44,639
Speaker 1: and I'm actually thinking I love the agenda that Trump

1570
01:25:44,680 --> 01:25:47,040
Speaker 1: is advocating now. I think it will save the country.

1571
01:25:47,040 --> 01:25:48,640
Speaker 1: I think it will create jobs. I think it will

1572
01:25:48,680 --> 01:25:51,200
Speaker 1: put us in a much stronger position in terms of

1573
01:25:51,200 --> 01:25:52,880
Speaker 1: our position in the world. I think it's gonna be

1574
01:25:52,920 --> 01:25:56,800
Speaker 1: great anyway. Eight nine one Sean, Thank you, Teresa, very

1575
01:25:56,920 --> 01:26:01,320
Speaker 1: very good call Kelly and San Diego these radio six

1576
01:26:01,880 --> 01:26:05,240
Speaker 1: Cogo Radio. What's going on? Hi? How are you guys?

1577
01:26:05,479 --> 01:26:09,679
Speaker 1: I'm good? How are you good? I attend the Trump

1578
01:26:09,760 --> 01:26:13,080
Speaker 1: rally last Friday, and um, it was definitely the craziest

1579
01:26:13,120 --> 01:26:17,280
Speaker 1: thing I've ever been to San Diego. Right in San Diego. Yeah,

1580
01:26:17,320 --> 01:26:20,280
Speaker 1: in San Diego. I went with a few friends and

1581
01:26:20,439 --> 01:26:23,040
Speaker 1: the protesters were definitely I mean it was they were

1582
01:26:23,080 --> 01:26:26,360
Speaker 1: acting like I'm I felt like I was actually fearing

1583
01:26:26,360 --> 01:26:28,720
Speaker 1: for my life. Um, they were throwing water bottles, they

1584
01:26:28,720 --> 01:26:31,240
Speaker 1: were throwing eggs, we were all wearing the red. We

1585
01:26:31,320 --> 01:26:34,800
Speaker 1: have all of that video tonight on Hannity. I hope

1586
01:26:34,800 --> 01:26:37,040
Speaker 1: you'll watch it ten because you know what the world

1587
01:26:37,080 --> 01:26:40,080
Speaker 1: needs to see who these people are and what they're about.

1588
01:26:40,320 --> 01:26:42,479
Speaker 1: And by the way they were throwing the eggs at

1589
01:26:42,600 --> 01:26:46,960
Speaker 1: children and women. You know, liberals, compassionate liberals, phonies that

1590
01:26:47,040 --> 01:26:51,400
Speaker 1: they are, That's what they were doing. Yeah, yeah, they

1591
01:26:51,479 --> 01:26:53,240
Speaker 1: we were all wearing the red Trump hats and they

1592
01:26:53,280 --> 01:26:58,000
Speaker 1: took my friends off and they lit it on fire. Um. Yeah,

1593
01:26:58,040 --> 01:27:01,040
Speaker 1: they didn't want a peaceful rally. I mean, and I

1594
01:27:01,160 --> 01:27:04,000
Speaker 1: want to silence conservatives. It's the same old thing. But

1595
01:27:04,400 --> 01:27:07,040
Speaker 1: I'm gonna tell you something. There's uh, there's this has

1596
01:27:07,120 --> 01:27:09,880
Speaker 1: now become a movement, and I hope Donald Trump will

1597
01:27:09,880 --> 01:27:12,519
Speaker 1: be a successful president because if he is, that means

1598
01:27:12,560 --> 01:27:15,479
Speaker 1: more Americans will work. That means we'll stop robbing our kids.

1599
01:27:15,560 --> 01:27:19,040
Speaker 1: That means we'll stop being dependent on foreign sources for energy.

1600
01:27:19,080 --> 01:27:22,280
Speaker 1: That means our borders protected. That means Americans won't have

1601
01:27:22,320 --> 01:27:25,240
Speaker 1: to compete with the illegals for jobs, driving down wages.

1602
01:27:25,560 --> 01:27:27,880
Speaker 1: I hate the federal government and education. I want to

1603
01:27:27,880 --> 01:27:31,559
Speaker 1: get rid of Obamacare. It's simple stuff. Anyway, Thank you, Kelly.

1604
01:27:31,600 --> 01:27:35,160
Speaker 1: Good called. Ryan is in Houston, ktrh Ryan High. How

1605
01:27:35,200 --> 01:27:38,599
Speaker 1: are you? It says you know. Lauren did a story

1606
01:27:38,880 --> 01:27:41,599
Speaker 1: on Hannity dot com about the Trump plane that picked

1607
01:27:41,680 --> 01:27:45,360
Speaker 1: up two hundred Marines and took him from Camp Lesume

1608
01:27:45,479 --> 01:27:48,759
Speaker 1: to Miami because I guess the plane was broken or something. Well,

1609
01:27:48,880 --> 01:27:51,320
Speaker 1: uh yeah, I'm I'm a guy that she spoke to

1610
01:27:51,360 --> 01:27:54,880
Speaker 1: about that, and um wow. The story behind that was

1611
01:27:55,000 --> 01:27:57,080
Speaker 1: that the way it was related to us was that

1612
01:27:57,160 --> 01:27:59,240
Speaker 1: the airplane that was supposed to flies back to Miami

1613
01:27:59,280 --> 01:28:01,200
Speaker 1: got delayed, well back in ninety one. If people are

1614
01:28:01,200 --> 01:28:03,360
Speaker 1: around long enough to recall that most of us are,

1615
01:28:03,400 --> 01:28:05,080
Speaker 1: but some of the younger ones in the audience may

1616
01:28:05,160 --> 01:28:07,479
Speaker 1: not be. You couldn't just text your family member that's

1617
01:28:07,479 --> 01:28:09,439
Speaker 1: sitting on the tarmac waiting for you to come home,

1618
01:28:09,560 --> 01:28:12,040
Speaker 1: or email him or column on the cell phone, because

1619
01:28:12,120 --> 01:28:14,760
Speaker 1: that stuff didn't exist then. So you know, we were

1620
01:28:14,800 --> 01:28:16,760
Speaker 1: we were getting delayed and delayed, and they said, well

1621
01:28:16,760 --> 01:28:18,600
Speaker 1: they might take a couple more days, and you know,

1622
01:28:18,640 --> 01:28:21,680
Speaker 1: we were happy to be back, just to be back stateside.

1623
01:28:21,680 --> 01:28:23,800
Speaker 1: But when the family all got down there and they

1624
01:28:23,840 --> 01:28:27,360
Speaker 1: set up the the ceremony to live and all that,

1625
01:28:27,479 --> 01:28:29,840
Speaker 1: we we we heard that the plane that we were

1626
01:28:29,840 --> 01:28:32,920
Speaker 1: supposed to be on was was either missprouted or delayed

1627
01:28:33,000 --> 01:28:35,559
Speaker 1: or wasn't gonna be there. And the story we got

1628
01:28:35,720 --> 01:28:38,439
Speaker 1: was that somehow I got back to Trump Airlines or

1629
01:28:38,439 --> 01:28:41,439
Speaker 1: the Trump organization, because he owned an airline at that time,

1630
01:28:42,080 --> 01:28:44,760
Speaker 1: and that he diverted one of his aircraft to take

1631
01:28:44,840 --> 01:28:46,960
Speaker 1: us down there. Well, and I don't know who made

1632
01:28:46,960 --> 01:28:48,640
Speaker 1: the call, but I'm sure he owned the airline or

1633
01:28:48,680 --> 01:28:50,519
Speaker 1: whatever he had to control over the first thring, so

1634
01:28:50,560 --> 01:28:52,479
Speaker 1: he had to make a decision and he did. And

1635
01:28:52,560 --> 01:28:55,360
Speaker 1: so in other words, this is back in So when

1636
01:28:55,360 --> 01:28:58,720
Speaker 1: Trump says that he really supports our vets, this is

1637
01:28:58,800 --> 01:29:00,920
Speaker 1: long before he ever thought about running for president. He

1638
01:29:01,000 --> 01:29:03,800
Speaker 1: supported our vets. Well, I would say so, because not

1639
01:29:03,880 --> 01:29:06,120
Speaker 1: only did that airplane have to fly, because they sent

1640
01:29:06,200 --> 01:29:09,479
Speaker 1: down a Boeing seven seven, which had his capacity on

1641
01:29:09,520 --> 01:29:12,440
Speaker 1: his aircraft. I believe they're all a first class configuration,

1642
01:29:12,479 --> 01:29:16,840
Speaker 1: so it only held approximately a hundred fifteen people. So

1643
01:29:17,000 --> 01:29:19,200
Speaker 1: it had to go down to Miami, turnaround, come back

1644
01:29:19,240 --> 01:29:21,519
Speaker 1: to North Carolina, pick us all up the rest of us,

1645
01:29:21,960 --> 01:29:25,040
Speaker 1: and fly us back on the second leg. So it

1646
01:29:25,120 --> 01:29:27,599
Speaker 1: wasn't just you know, this is you're talking fifteen hundreds

1647
01:29:28,680 --> 01:29:31,320
Speaker 1: an hour to operate this aircraft at the three and

1648
01:29:31,360 --> 01:29:33,599
Speaker 1: a half. But by the way, I can probably tell

1649
01:29:33,640 --> 01:29:35,800
Speaker 1: you that's a lot more than that if I had Yeah,

1650
01:29:35,920 --> 01:29:38,680
Speaker 1: but in today's dollars of course, but you know that airplane,

1651
01:29:38,840 --> 01:29:41,160
Speaker 1: you know, three crew members flying it, two to three

1652
01:29:41,200 --> 01:29:43,639
Speaker 1: crew members in the back, and then all the feeling involved.

1653
01:29:43,680 --> 01:29:47,439
Speaker 1: But regardless of all that, the plane came from somewhere

1654
01:29:47,560 --> 01:29:49,360
Speaker 1: and from the story we were told was that he

1655
01:29:49,400 --> 01:29:51,720
Speaker 1: made he was made aware of it, and he was

1656
01:29:51,760 --> 01:29:54,360
Speaker 1: willing to put forth the effort to get us back

1657
01:29:54,479 --> 01:29:58,040
Speaker 1: because to stand there, that's a really cool story. It

1658
01:29:58,120 --> 01:30:01,400
Speaker 1: really is, you know, it's and you know, look, everybody says, well,

1659
01:30:01,400 --> 01:30:03,400
Speaker 1: he's got the money. You know what, rich people don't

1660
01:30:03,439 --> 01:30:05,439
Speaker 1: have to do anything for anybody. You don't have to

1661
01:30:05,760 --> 01:30:09,160
Speaker 1: have to share your money. And I remember telling Lauren

1662
01:30:09,200 --> 01:30:11,200
Speaker 1: in the story that you know, we don't even know

1663
01:30:11,240 --> 01:30:13,280
Speaker 1: if Donald Trump was I said, who's Donald Trump? I

1664
01:30:13,360 --> 01:30:15,160
Speaker 1: was a running joke amongst the group, who's the guy

1665
01:30:15,160 --> 01:30:18,240
Speaker 1: with the name on the plane? And find out later

1666
01:30:18,320 --> 01:30:20,880
Speaker 1: that this becomes you know, he becomes this. There's a

1667
01:30:20,960 --> 01:30:23,200
Speaker 1: there's also a purpose to this discussion of why and

1668
01:30:23,280 --> 01:30:25,400
Speaker 1: the timeliness of this too is because when I was

1669
01:30:25,439 --> 01:30:28,600
Speaker 1: talking to Laura about this story, she pulled up the

1670
01:30:28,640 --> 01:30:30,519
Speaker 1: snow charticle about this, and I said, what are you

1671
01:30:30,560 --> 01:30:32,920
Speaker 1: talking about? That? I was on the I got I

1672
01:30:32,960 --> 01:30:35,400
Speaker 1: got pictures of that airplane. How can they say this

1673
01:30:35,479 --> 01:30:38,479
Speaker 1: is false? And it's just, you know, the information gets

1674
01:30:38,479 --> 01:30:42,160
Speaker 1: twisted to where people will believe whatever something like snokes

1675
01:30:42,160 --> 01:30:45,160
Speaker 1: tells them without and and when I'm reviewing some of

1676
01:30:45,200 --> 01:30:49,040
Speaker 1: the story comments, people are saying that photoshop or that

1677
01:30:49,160 --> 01:30:51,280
Speaker 1: they you know, it's fake and it's not true. And

1678
01:30:51,280 --> 01:30:54,000
Speaker 1: it listen, there there are some people, and you gotta

1679
01:30:54,040 --> 01:30:59,320
Speaker 1: understand this, that just lie, especially with social media and anonymity.

1680
01:30:59,400 --> 01:31:03,240
Speaker 1: I call him keyboard warriors in their underwear. I mean, listen,

1681
01:31:03,280 --> 01:31:06,400
Speaker 1: they just lie and they just attack, and they they

1682
01:31:06,439 --> 01:31:09,920
Speaker 1: they've got this alter ego, alter identity out there, and

1683
01:31:10,000 --> 01:31:12,880
Speaker 1: in that identity, all they do is try and you know,

1684
01:31:13,000 --> 01:31:15,960
Speaker 1: cast dispersions on anybody that's actually living a real life.

1685
01:31:16,240 --> 01:31:19,800
Speaker 1: But it happens. Listen, Ryan, thank you and God bless you.

1686
01:31:19,880 --> 01:31:21,679
Speaker 1: Thank you for your service. And it's a great story.

1687
01:31:21,680 --> 01:31:23,640
Speaker 1: I'm glad Mr Trump at that time took care of you.

1688
01:31:23,680 --> 01:31:26,000
Speaker 1: That was that's a pretty cool story. Well it wasn't

1689
01:31:26,040 --> 01:31:28,000
Speaker 1: just one last quick thing. You're probably on a break

1690
01:31:28,080 --> 01:31:30,799
Speaker 1: or something. But the point about it wasn't that it's political.

1691
01:31:30,840 --> 01:31:32,679
Speaker 1: It was just to tell the truth because when people

1692
01:31:32,680 --> 01:31:35,280
Speaker 1: say that he didn't do anything, and then he disparaging,

1693
01:31:35,400 --> 01:31:37,920
Speaker 1: made disparre any comments about veterans and things. You know,

1694
01:31:37,960 --> 01:31:40,760
Speaker 1: there's more to someone's actions than just the words they say,

1695
01:31:40,760 --> 01:31:42,679
Speaker 1: and sometimes in the heat of moment, people don't necessarily

1696
01:31:42,680 --> 01:31:45,240
Speaker 1: say exactly what they mean. All right, I appreciate it,

1697
01:31:45,280 --> 01:31:47,240
Speaker 1: and I thank you for serving your country, my friend,

1698
01:31:47,280 --> 01:31:47,639
Speaker 1: thank you