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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. Are you ready? Are

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Speaker 1: you ready? We will build a great wall along the

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Speaker 1: southern border. Number two, we are going to end catch

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Speaker 1: and release. We catch up. I'll go ahead, we catch up,

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Speaker 1: Go ahead. Under my administration, anyone who illegally crosses the

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Speaker 1: border will be detained until they are removed out of

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Speaker 1: our country and back to the country from which they came.

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Speaker 1: Number three. This is the one. I think. It's so

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Speaker 1: great it's hard to believe. People don't even talk about it.

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Speaker 1: Zero tolerance for criminal aliens zero zero. Number four block

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Speaker 1: funding for sanctuary cities. We blocked the funding, no more funds.

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Speaker 1: We will end the sanctuary cities that have resulted in

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Speaker 1: so many needless deaths. Cities that refuse to cooperate with

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Speaker 1: federal authorities will not receive taxpayer dollars, and we will

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Speaker 1: work with Congress to pass legislation to protect those jurisdictions

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Speaker 1: that do assist federal authorities. Number five. Cancel unconstitutional executive

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Speaker 1: orders and enforce all immigration laws. For those here illegally

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Speaker 1: today who are seeking legal status, they will have one

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Speaker 1: route and one route only to return home and apply

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Speaker 1: for re entry like everybody else under the rules of

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Speaker 1: the new legal immigration system that I have outlined about

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Speaker 1: those who have left to seek entry. Thank you those

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Speaker 1: who have left to seek entry under this new system,

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Speaker 1: and it will be an efficient system. Will not be

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Speaker 1: awarded surplus visas, but we'll have to apply for entry

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Speaker 1: under the immigration caps or limits that will be established

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Speaker 1: in the future. We will break the cycle of amnesty

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Speaker 1: and illegal immigration. We will break the cycle. You friends

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Speaker 1: were so many, but Jamie Shaw, credible guy, lost his

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Speaker 1: son so violently. Say just a few words about your child.

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Speaker 1: My son, Ronald da Silva, was murdered they put two

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Speaker 1: thousand two by an illegal alien who had been previously deported.

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Speaker 1: And whatso makes me so outrageous is that we came

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Speaker 1: here illegally. Thank you, Mr Trump. I totally support you.

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Speaker 1: You have my vote. What name your child and come

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Speaker 1: right by, Go ahead, Laura Wilkerson. And my son was

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Speaker 1: Joshua Wilkerson. He was murdered by any in two thousand

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Speaker 1: and ten, and I personally support Mr Trump for our

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Speaker 1: next president. My name is Ruth Johnston Martin. My husband

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Speaker 1: was shot by an illegal alien. He fought the good fight,

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Speaker 1: but he took his last breath in two thousand and two.

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Speaker 1: And I support this man who's going to change this

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Speaker 1: country for the better. God bless you. My name is

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Speaker 1: Maria Maloney and our son, matt You Denise was twenty

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Speaker 1: three years old when he was directed a quarter of

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Speaker 1: a mile to his death by an illegal alien. Well

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Speaker 1: horrified witnesses. We're banging on the truck trying to stop him.

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Speaker 1: Our son, Matthew Denise. If if Donald Trump were president

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Speaker 1: in our son, Matthew Denise and other Americans would be

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Speaker 1: alive today. Thank you. My name is Cathy Woods. My

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Speaker 1: son Steve high school senior, seventeen years old. Um went

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Speaker 1: to the beach after high school football game. The local

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Speaker 1: gang came along. Nine members the Cause were batted too,

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Speaker 1: like by war and Beirut, and Um, all I can

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Speaker 1: say is they murdered him. And if Mr Trump had

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Speaker 1: been in office, then the border would have been secure

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Speaker 1: and our children would not be dead today. Wow, powerful,

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Speaker 1: powerful day, I would argue yesterday. The best stay of

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Speaker 1: the Trump campaign those that doubted he could be presidential

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Speaker 1: and still be outspoken and forceful and strong. There was

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Speaker 1: the Mexican president saying in front of the entire world, Wow,

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Speaker 1: we had a very productive, very good meeting together, me

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Speaker 1: and Donald Trump. I'm sure Hillary Clinton was spitting out

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Speaker 1: bullets when he said that, you know, Hillary is trying

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Speaker 1: to trash Donald Trump for going to Mexico. Why Mexico

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Speaker 1: said that. We're gonna a lot of takeaways from this.

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Speaker 1: You know what the biggest takeaway is is that strength

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Speaker 1: actually does work. That I got the I got the

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Speaker 1: distinct depression, and the Mexican president has taken a lot

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Speaker 1: of heat for this. I got the distinct impression that

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Speaker 1: President Yeto was actually afraid that Donald Trump's gonna win.

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Speaker 1: He wanted to get in front of this in case

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Speaker 1: he did. And under the guise of all I've invited

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Speaker 1: both candidates. Uh, and we didn't talk about who's gonna

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Speaker 1: pay for the wall, but I'm willing to renegotiate NAFTA

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Speaker 1: and I'm willing to you know, um, I'm willing to

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Speaker 1: discuss things with Mr Trump and then coming out and

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Speaker 1: being is respectful and and how good this was. Now,

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Speaker 1: I know there are many Mexicans that are mad at him.

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Speaker 1: Then Ato apparently saying that he told Trump he won't

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Speaker 1: pay for the Walt Trump. I've asked Trump about this

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Speaker 1: and I said, you don't expect Mexico to give you

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Speaker 1: a check one day, do you? And he said, no,

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Speaker 1: that's not what I'm looking for. But through negotiations will

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Speaker 1: end they'll end up paying for this. So I think

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Speaker 1: a pretty powerful day on for Donald Trump. You just

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Speaker 1: heard him outlining exactly what his policies would mean. We're

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Speaker 1: gonna we're gonna build the wall. We're gonna block funding

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Speaker 1: of sanctuary cities. We're gonna end catch and release. We're

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Speaker 1: gonna have zero tolerance for criminal aliens. We're gonna end

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Speaker 1: the unconstitutional executive orders and enforce the laws of the land.

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Speaker 1: That would be refreshing. I wonder where all the anti

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Speaker 1: Trump people are on this issue. Well I saw something begrudgingly, Well,

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Speaker 1: he had a good day. One good day. He looked, Okay,

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Speaker 1: you didn't do too bad. Heving awful. Uh, you gotta

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Speaker 1: just part of this is just fun um. But you

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Speaker 1: think about what what is wrong with this? I think

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Speaker 1: most Americans understand, especially after nine eleven. Although Hillary after

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Speaker 1: nine eleven wanted to profile Muslims. We have the tape

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Speaker 1: of her answering Sam Donaldson, you know, specifically if she

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Speaker 1: would add extra scrutiny to those that are here in

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Speaker 1: this country. And she said, well, after what happened on Tuesday. Yeah,

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Speaker 1: this was the Sunday after the Tuesday, after nine eleven,

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Speaker 1: and this is what she said. Let's talk about American

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Speaker 1: life now, though, what happens in the future from the

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Speaker 1: standpoint of the question of security versus relaxation or giving

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Speaker 1: up some of the freedoms that we've enjoyed in this

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Speaker 1: in this country. How far do we go, for instance,

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Speaker 1: on airline security. Well, I think everyone recognizes we have

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Speaker 1: to tighten security. We have to do whatever it takes

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Speaker 1: to keep our people safe, um including profiling Senator Well,

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Speaker 1: I think we have to do whatever it takes, Sam,

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Speaker 1: and I believe that, you know, Tuesday changed everything. Tuesday

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Speaker 1: change everything profiling. Sure, I support profilely. You know, Hillary

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Speaker 1: is flipped and flopped and flagged on everything from sanctuary

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Speaker 1: cities to illegal immigrants, to driver's licenses to calling them

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Speaker 1: illegal immigrants or undocumented workers. I mean, it's unbelievable. What

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Speaker 1: is wrong with ending illegal immigration and enforcing the laws

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Speaker 1: of our country, and not just from Mexico but from

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Speaker 1: Central America and all around the world. What is wrong

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Speaker 1: with having a secure border? Doesn't it make sense, especially

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Speaker 1: in light of all that has happened in Europe and

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Speaker 1: even in this country, that we can't have enemies of

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Speaker 1: America with a right to just walk across the border

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Speaker 1: anytime they please, which is pretty much the case right now,

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Speaker 1: because we don't have secure borders. What's wrong with that,

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Speaker 1: you know, dismantling drug cartels at that point, now they

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Speaker 1: don't have access to our borders, ending the movement of

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Speaker 1: illegal drugs because they can't get them through. I love

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Speaker 1: the way Trump described it last night. We're gonna build

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Speaker 1: a wall up high, We're gonna build sensors down below,

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Speaker 1: and we're gonna make sure it's impenetrable. I love that,

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Speaker 1: you know, to get the Mexican president to say, yeah,

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Speaker 1: we can make a better deal on now, to so

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Speaker 1: that American manufacturing companies are not hurt. Take away the

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Speaker 1: incentive of all these companies. He keeps mentioning carrier air conditioners.

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Speaker 1: They go down to Mexico, They're gonna build the plant

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Speaker 1: down in Mexico. Forwards building a plant down in Mexico.

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Speaker 1: Then they want to bring their cars over to America.

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Speaker 1: And meanwhile, people in Indiana, and people in Ohio and

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Speaker 1: Michigan and and Wisconsin and Pennsylvania, they're they're, you know,

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Speaker 1: hell out of luck. Hillary wants to put coal miners

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Speaker 1: out of work, coal companies out of business. Okay, she

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Speaker 1: doesn't allow fracking. What about Pennsylvania. Pennsylvania has been benefited,

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Speaker 1: benefiting from fracking. New York's too stupid to do fracking.

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Speaker 1: There's so much that we can do. And you know,

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Speaker 1: I think what this shows more than anything is Donald

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Speaker 1: Trump is a risk taker. Donald Trump is not afraid

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Speaker 1: to speak his mind. Donald Trump, you know, show that

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Speaker 1: you can take a position of strength and take a

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Speaker 1: risk and stand on your position and and low and

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Speaker 1: behold instead of making an apology tour like Obama. Other

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Speaker 1: countries will respect your strength. And he's negotiating now with

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Speaker 1: Mexico from a position enough strength. He's willing to say

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Speaker 1: what needs to be said. He's not telling, he's not

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Speaker 1: bowing before Saudi princes. He's not saying America and America's

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Speaker 1: past deeds and and the terrible deeds in the name

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Speaker 1: of Christ and all those other crap that we've heard

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Speaker 1: the last eight years it's actually refreshing, you know. Yeah,

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Speaker 1: he said criminals do cross the border. Pretty powerful moment

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Speaker 1: when all those angel moms stood behind him, because I

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Speaker 1: do think that the media has been negligent in their job,

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Speaker 1: and Trump challenge them that challenge them on this, you know,

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Speaker 1: to do their job and tell the stories of the

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Speaker 1: suffering of these families. These families have lost their loved ones.

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Speaker 1: We've had many of them on this program, many of

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Speaker 1: them on television. We had a couple of the moms

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Speaker 1: that I've interviewed before on TV last night. They've lost

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Speaker 1: their kids. You know, I tell the story. And Trump

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Speaker 1: actually mentioned it in his speech last night. I don't

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Speaker 1: know if he heard the interview here, but you know,

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Speaker 1: the father of this poor kid working in a convenience

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Speaker 1: store four in the morning saving money for college, is

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Speaker 1: twenty one years old. Incomes in the illegal immigrant. We

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Speaker 1: find out later the illegal immigrant had raped a woman

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Speaker 1: and kept this woman prisoner, kidnapped her for a week. Okay,

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Speaker 1: he got out of jail. We didn't send him back

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Speaker 1: to the country of origin. We kept him in this country.

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Speaker 1: Then he walks into a mini mart store late at night,

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Speaker 1: kids trying to make money for college. He wants to

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Speaker 1: steal cigarettes. The kids racing to get him his cigarettes.

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Speaker 1: He didn't get him fast enough, so he shoots him. Well,

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Speaker 1: that's happening. That should not happen. That is a preventable

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Speaker 1: death if we secure our borders. It's a preventable death

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Speaker 1: if if we end up taking convicted illegal immigrants. You know,

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Speaker 1: the Federal Sentencing Commission says for the year twenty fifteen alone,

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Speaker 1: thirty six point six percent of the seventy plus thousand,

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Speaker 1: you know, criminal sentences given out, we're fully given to

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Speaker 1: illegal immigrants. That is a disproportionate and unacceptably high number

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Speaker 1: of illegal immigrants committing crimes a seven year period in Texas,

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Speaker 1: when I sat through the border briefing with Governor Rick Perry,

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Speaker 1: sid crimes committed against Texans, including order including rape in

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Speaker 1: a seven year period. How many more Texans have to

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Speaker 1: be victims of crime, or how many more people from

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Speaker 1: Arizona have to be victims of crime, or Nevada or

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Speaker 1: California have to be victims of crime or elsewhere around

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Speaker 1: the country. You know, I know there's a particular town

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Speaker 1: where I live in Long Island that if you want

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Speaker 1: to pick up workers on any given day, you can

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Speaker 1: go pick up workers and they're all here illegally, and

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Speaker 1: contractors know they can pick them up, pay him a

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Speaker 1: day's wage, pretty pretty cheap labor, and that means they

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Speaker 1: don't have to hire one of the million Americans out

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Speaker 1: of the labor force, and they're saving money. You've got

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Speaker 1: eight million Americans, million illegal immigrant Americans, then it wouldn't

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Speaker 1: be the same eight million illegal immigrants that are in

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Speaker 1: the job market right now eleven point three million total.

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Speaker 1: But Trump was right too. We don't even really know

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Speaker 1: the number these ar estimates that we have. Nobody really

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Speaker 1: knows what the number is. But then the issue becomes, well,

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Speaker 1: this isn't this, this is not fair, This is not compassionate.

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Speaker 1: We can be compassionate. Nate Silver, the guy that said

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Speaker 1: that Hannity does and believe in poles, I actually do

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Speaker 1: believe in polls. I believe in the aggregate of pulse,

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Speaker 1: the real clear politics average. Look at it every day.

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Speaker 1: I also see trends. Also see that Donald Trump now

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Speaker 1: is leading in a in a few polls over Hillary Clinton,

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Speaker 1: but I think he's down aggregate wise. It's very close

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Speaker 1: race in Florida. It's a very close race in Ohio.

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Speaker 1: It's a very close race. In Pennsylvania. It's close in

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Speaker 1: North Carolina. It's very close right now, even in Michigan

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Speaker 1: and Wisconsin's nobody can tell you right now where this

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Speaker 1: election is going anyway. Over At five thirty eight, he

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Speaker 1: put out these tighter margins that are showing up in

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Speaker 1: the polls, reflecting a loss of support of Clinton and

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Speaker 1: a modest improvement for Trump, have come gradually over the

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Speaker 1: past few weeks. So he's recognizing what I've been telling you.

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Speaker 1: The evidence of a tightening has become more widespread, however,

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Speaker 1: and it's particularly clear in the polls that surveyed the

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Speaker 1: race just after the conventions. They're now retaking their temperature.

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Speaker 1: And what if the race continues to tighten, He says,

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Speaker 1: I've often heard Democrats express a belief the Clinton's position

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Speaker 1: in swing states will protect her in an electoral college,

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Speaker 1: in the electoral college, even if the race draws to

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Speaker 1: a dead heat overall. He writes, this is potentially mistaken.

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Speaker 1: Although it's plausible that clinton superior field operation would pay dividends.

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Speaker 1: So far, her swing state results have ebbed and flowed

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Speaker 1: with her national numbers, and the other thing to notice

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Speaker 1: about clinton swing state polls is that there aren't especially

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Speaker 1: strong relative to our national polls. At her post convention

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Speaker 1: pe Clinton's path of least resistance to two seventy electoral

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Speaker 1: votes appeared to run through a set of states, including Pennsylvania, Wisconsin,

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Speaker 1: New Hampshire, among others. But in Pennsylvania, most recent polls

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Speaker 1: have Clinton the head by a slight margin three points.

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Speaker 1: Perfectly fine, but not that different from our national numbers.

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Speaker 1: So I think this race is really tight. I want

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Speaker 1: to see the poll results after next week. That's what

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Speaker 1: I'm really looking to see. Anyway. Eight one Shawn is

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Speaker 1: a toe free telephone number. You want to be a

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Speaker 1: part of the program, We'll get to your calls in

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Speaker 1: the next hour. We got a hurricane towards Florida. Will

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Speaker 1: get a quick update from our buddy job A Stardi.

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Speaker 1: We got a lot of the other things coming up.

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Speaker 1: Will debate Donald Trump at the top of the next hour.

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Speaker 1: In his speech yesterday, we are two people. I mean

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Speaker 1: building a wall, having Mexico pay for it, stopped the

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Speaker 1: catch and release, zero tolerance for criminal aliens, block funding

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Speaker 1: sanctuary cities, canceled unconstitutional executive orders, suspend visas to countries

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Speaker 1: where adequate screening cannot occur, Return criminals back to the

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Speaker 1: country of origin, complete biometric entry exit tracking, turn off

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Speaker 1: the jobs and benefits magnet um, reform existing immigration rules.

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Speaker 1: It's fairly simple. By the way, Biden won't defend the

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Speaker 1: ethics of the Clinton Foundation. Daily Caller reports that Biden

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Speaker 1: has trouble defending the Clinton Foundation. When confronted by a reporter.

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Speaker 1: Do you think Americans should be concerned about the ethics

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Speaker 1: of the Clinton Foundation? Has the foundation always been a

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Speaker 1: ethical in your view? He says, Look, I think the

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Speaker 1: Clinton Foundation, like all foundations, have found themselves in a

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Speaker 1: position where things are changing, and I think they're going

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Speaker 1: to change, and I think they're going to adjust to

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Speaker 1: the realities of how complicated it's all become. What kind

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Speaker 1: of answer is that? By the way, in the latest

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Speaker 1: Rasmussen survey, Donald Trump is up by what one point there?

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Speaker 1: He's taking a lead there anyway, latest No, I'm sorry

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Speaker 1: Trump with the vote Clinton stea one. That's pretty good.

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Speaker 1: If you have a Fox News poll that Trump and

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Speaker 1: Clinton are in a virtual tie. It's now a two

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Speaker 1: point race there. And that's better for Trump because he

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Speaker 1: was up he was down like seven or eight points

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Speaker 1: in the latest poll that they had. You've got after

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Speaker 1: the immigration speech of Trump, donors were swamping the Trump website.

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Speaker 1: According to Gateway Pundit. Anyway, the Trump campaign website crashed

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Speaker 1: following that speech in Phoenix, Arizona. It does not surprise me.

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Speaker 1: We now know that Bill and Hillary use tax dollars

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Speaker 1: to pay for illegal emails, the illegal email server. Can

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Speaker 1: you believe that Bill Clinton and his staff used decades

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Speaker 1: old federal government program originally created to keep former presidents

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Speaker 1: out of the poorhouse, to subsidize the family foundation and

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Speaker 1: associated businesses and support his wife's private email server. So

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Speaker 1: you actually paid for the email server in the closet

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Speaker 1: of the you know, mom and pop shop. Can you

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Speaker 1: imagine putting your top secret special access program information on that? Um.

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Speaker 1: The first showdown between Trump and Hillary is gonna be

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Speaker 1: a forum next week with Matt Lower. Isn't Matt Lower

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Speaker 1: one of the Clinton Foundation donors? I know? George Stephanopolis

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Speaker 1: is is Lower? Do we know? Can we look that up?

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Speaker 1: It's gonna be a one hour form Clinton and Trump

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Speaker 1: will answer questions about national security, military affairs, veterans issue

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Speaker 1: veteran's issues in front of an audience mainly made up

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Speaker 1: of members of the military. The two candidates will not

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Speaker 1: be on the stage at the same time, but although

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Speaker 1: they'll go back to back, it's worth noting, Oh yeah,

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Speaker 1: it is notable past men Burke is what lour is

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Speaker 1: on the Clinton Global Initiative website, along with Anderson Cooper

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Speaker 1: and Katie Corik and George Stephanopolos. Good grief. Is there

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Speaker 1: anybody that didn't donate? Pretty amazing? All right? From the

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Speaker 1: weather bell dot com network. He's Mr Weather himself. He's

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Speaker 1: a friend of ours, our good friend Joe BISTARTI is

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Speaker 1: with us, and we've got some bad weather headed into

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Speaker 1: Florida and then up the East coast. How are you

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Speaker 1: pretty well, Sean? How are you doing today? All right?

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Speaker 1: What's going on? Well, we've got a lot of problems

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Speaker 1: coming in. It's so deja vu. I'm over over your

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Speaker 1: your stopping ground here at the Fox studio. And I

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Speaker 1: walked in and some young ladies said to me, oh, no,

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Speaker 1: you were here before Sandy. And I gotta tell you something.

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Speaker 1: I am very very concerned about what happens with this storm.

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Speaker 1: Sunday Monday Tuesday, Wednesday next week, where after this hits

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Speaker 1: Florida tonight, it's coming in as a hurricane just east

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Speaker 1: of Appalachicola, of races through the coastal Carolina's in Georgia,

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Speaker 1: and what you're gonna see there east of you're gonna

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Speaker 1: see wins fifty gust six to ten inches of rain

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Speaker 1: from Savannah all the way up to Hatteras in Norfolk.

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Speaker 1: But then the storm gets off shore Shawan And as

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Speaker 1: you know because you live on Long Island, the water

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Speaker 1: is extremely warm this year off the northeast beaches. In fact,

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Speaker 1: it's as warm as what it normally is off the

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Speaker 1: South Atlantic coast. So here's what I think is going

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Speaker 1: to happen. This thing is going to get out over

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Speaker 1: the water Sunday and become if it's not a hurricane,

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Speaker 1: become a hurricane again and then just sit in Meander

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Speaker 1: within fifty to a hundred miles of the coast. And

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Speaker 1: my biggest concern is repetitive high tides one after another,

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Speaker 1: each higher than the one before, and hurricane force wind

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Speaker 1: gush just offshore, piling waves back in there. And unlike Sandy,

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Speaker 1: where Sandy came all the way in Sean this is

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Speaker 1: I don't think this is coming all the way in.

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Speaker 1: I think it's gonna sit stop and mill around and

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Speaker 1: continue to continually batter those beaches on New Jersey, Long

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Speaker 1: Island down to Delaware and Maryland for two or three,

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Speaker 1: maybe four days. And I am very concerned about this,

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Speaker 1: uh to a point where you know, we sort of

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Speaker 1: committed to that yesterday. Whether Bella was still thinking that

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Speaker 1: that is a very very dangerous scenario that could occur here. Well,

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Speaker 1: tell us exactly, walk us through exactly where this is

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Speaker 1: gonna hit and when and how, and give us the

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Speaker 1: path of it. I've seen it on your website, but

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Speaker 1: I want you to explain it. Well, we're looking at

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Speaker 1: the make landfall east of Appalachicola tonight and will be

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Speaker 1: in southern Georgia and come up to the west of

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Speaker 1: Savannah just to the west of Charleston tomorrow and tomorrow night,

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Speaker 1: and then we will come in over the outer banks.

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Speaker 1: It looks like so, in other words, it's not going

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Speaker 1: to be out over the ocean. It's going to be

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Speaker 1: just inland. Now you say, well, how come it's not

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Speaker 1: weakening If it's going to weaken some but still throng, warm,

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Speaker 1: tropical area off the ocean and over the circulation. Close

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Speaker 1: of the circulation is over the ocean, so it can

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Speaker 1: maintain a lot of its intensity. So by the time

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Speaker 1: we get to uh, the time we get to very

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Speaker 1: late uh Saturday night and Sunday, it's coming through the

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Speaker 1: North Carolina the banks. It goes out over the water

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Speaker 1: again Sunday afternoon and Sunday night, and then Labor Day

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Speaker 1: it's going to be sitting in Atlantic City, del Marva,

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Speaker 1: del Marva Peninsula's backyard, maybe within sixties seventy miles of

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Speaker 1: the coast as a hurricane. And uh so you know,

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Speaker 1: looking at a Labor Day, that's going to be very

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Speaker 1: bad along our beaches and as far as you know,

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Speaker 1: when you get up to Long Island, New England, this

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Speaker 1: will spare them relative to what will happen in New Jersey,

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Speaker 1: but it will still be bad up there Monday, Tuesday,

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Speaker 1: Wednesday with easterly gales. I'm not that concerned about the

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Speaker 1: rain amounts up in southern New England. I am concerned

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Speaker 1: eastern New Jersey all the way down and into the

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Speaker 1: Carol Line is in there that we have flooding rains.

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Speaker 1: But the thing that lets folks. Nineteen sixty two, we

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Speaker 1: had obviously in March, it wasn't a tropical storm. You

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Speaker 1: had a low pressure that sat off the North Carolina

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Speaker 1: coast for three, four or five days, and we had

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Speaker 1: the tides enhanced by the moon is they're going to be.

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Speaker 1: We have a new moon coming up, So all these

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Speaker 1: things piled up, so you get days and days of

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Speaker 1: easterly winds pushing water back into the coast, and so

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Speaker 1: you can see my concern. But let's say Sunday afternoon

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Speaker 1: might be three ft above normal, Sunday night four ft

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Speaker 1: above normal, and five ft above normal. And when you're

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Speaker 1: piling fifteen twenty ft waves on top of that, you

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Speaker 1: get you get a situation with those Barrier islands that

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Speaker 1: took such a vicious beating from Sandy. I'm afraid that

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Speaker 1: something like that could occur. It won't be the same genre,

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Speaker 1: a little bit different fashion, but the end results that

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Speaker 1: could be very, very bad in those areas. I'm not

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Speaker 1: trying to scare people. I'm just trying to let people

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Speaker 1: understand what they might be facing Monday two being on

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Speaker 1: into Wednesday. So here's the selfish question I always put in,

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Speaker 1: how bad am I going to get hits well in

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Speaker 1: your area. My concern is not you know, you may

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Speaker 1: get some gale force winds and some rain, but I

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Speaker 1: think what starts happening is you start piling water back

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Speaker 1: westward into Long Island Sound, and that keeps piling up,

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Speaker 1: piling up, piling up. But I'm much more concerned for instance,

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Speaker 1: Newark Bay, the Bays down Atlantic City, in places like that, Barne,

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Speaker 1: get those Barrier islands in there. Uh, more concerned about

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Speaker 1: that situation right now. Uh. So, you know, this is

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Speaker 1: a this is gonna be a pretty bad storm in Florida.

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Speaker 1: But you know, Florida, I gotta say Florida knows these

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Speaker 1: kind of hurricanes are a Category one hurricane and they haven't.

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Speaker 1: They don't get hit that often in the bit of

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Speaker 1: Florida where this is coming from. This that area, that

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Speaker 1: arcing area to the east Apologic Coola. So this is

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Speaker 1: gonna be a little bit unusual for them. The folks

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Speaker 1: in the coastal Carolinas, uh, you know, are moving along

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Speaker 1: this path just inland is kind of unusual. But again,

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Speaker 1: when we get this thing off the middle la the coast,

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Speaker 1: I think that whatever status it has, whether they want

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Speaker 1: to say it's nontropical the time it organizes back together

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Speaker 1: and really starts pounding away. So from Sunday Sunday afternoon

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Speaker 1: in the Monday, and perhaps Tuesday and Wednesday as well,

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Speaker 1: there's gonna be a long drawn out siege in those areas,

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Speaker 1: you know, all right, Well, everyone's in our thoughts and prayers.

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Speaker 1: It's you know, it's always painful. I was down in

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Speaker 1: Baton Rouge. I don't know if you saw any of

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Speaker 1: the TV show I was done there. It is, you know,

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Speaker 1: whether it can be so devastating. I mean, can you

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Speaker 1: imagine living on a no flood zone so you don't

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Speaker 1: have flood insurance, and it's street after street and block

428
00:24:41,920 --> 00:24:46,040
Speaker 1: after block and neighborhood after theod I know, and I

429
00:24:46,040 --> 00:24:48,720
Speaker 1: wanted to say something. I'm praying that the Hurricane Center

430
00:24:49,080 --> 00:24:51,320
Speaker 1: does not take the name off this, even though it

431
00:24:51,320 --> 00:24:54,200
Speaker 1: means no longer be poorly tropical. You know, we saw

432
00:24:54,240 --> 00:24:56,880
Speaker 1: that thing, you know that read its correspondence and everything else.

433
00:24:56,960 --> 00:24:58,679
Speaker 1: So I think I'm in seven day the way the

434
00:24:58,720 --> 00:25:02,920
Speaker 1: European computer model had thirty nine inches of rain forecasted

435
00:25:03,080 --> 00:25:05,760
Speaker 1: just off the mouth of the Mississippi. It was seeing

436
00:25:05,800 --> 00:25:08,840
Speaker 1: that thing days and days away. But what happens is

437
00:25:08,960 --> 00:25:11,640
Speaker 1: no name on it or whatever, and it gets lost

438
00:25:11,680 --> 00:25:13,720
Speaker 1: in the crack. I wrote an article of Patriot Post

439
00:25:13,720 --> 00:25:17,879
Speaker 1: in July that the candidates that could understand what the

440
00:25:17,960 --> 00:25:21,440
Speaker 1: tropics can produce this year and responded at the ready

441
00:25:21,440 --> 00:25:23,920
Speaker 1: to respond would touch the hearts and minds of the

442
00:25:23,960 --> 00:25:26,920
Speaker 1: American people, ensure enough. I think that was very impressive

443
00:25:27,200 --> 00:25:30,239
Speaker 1: that Donald Trump went right down into that area and

444
00:25:30,320 --> 00:25:33,000
Speaker 1: showed that he uh, you know, I'm just saying that he.

445
00:25:33,760 --> 00:25:36,320
Speaker 1: I don't know if he read the article. But this

446
00:25:36,480 --> 00:25:38,879
Speaker 1: hurricane season, because of the warmth of the water, the

447
00:25:38,960 --> 00:25:41,639
Speaker 1: nature of the season, You've got to realize we're like

448
00:25:41,720 --> 00:25:44,280
Speaker 1: we're in the nineteen fifties and there was a lot

449
00:25:44,320 --> 00:25:46,200
Speaker 1: of action in the eastern part of the United States

450
00:25:46,200 --> 00:25:48,880
Speaker 1: in the nine fifties. All right, thanks so much, Joe

451
00:25:48,880 --> 00:25:52,600
Speaker 1: BISTARTI weather bell dot com. We'll be watching closely. And uh,

452
00:25:52,680 --> 00:25:55,240
Speaker 1: anyone in the path of this or is on our

453
00:25:55,280 --> 00:25:57,639
Speaker 1: thoughts and prayers. You uh, you gotta take all this

454
00:25:57,720 --> 00:26:00,600
Speaker 1: stuff very seriously. We've seen the devastation of the years.

455
00:26:01,840 --> 00:26:05,400
Speaker 1: Let us go to our busy telephones as we promised here,

456
00:26:05,840 --> 00:26:09,400
Speaker 1: Let's go to Cecilia Traverse City in Michigan. How are you, Cecilia.

457
00:26:09,440 --> 00:26:13,560
Speaker 1: Glad you called, thank you. I'm well, Seohn, thank you.

458
00:26:14,119 --> 00:26:18,600
Speaker 1: I wanted to know if you know, see horrible worst

459
00:26:18,680 --> 00:26:25,479
Speaker 1: keep scenario. Hillary does get elected and after November, between

460
00:26:25,480 --> 00:26:30,480
Speaker 1: November and January, if she were convicted, who becomes the president?

461
00:26:31,200 --> 00:26:33,959
Speaker 1: Does it go to the VP at that point if

462
00:26:34,000 --> 00:26:36,000
Speaker 1: she was elected and sworn in, yeah, it would go

463
00:26:36,040 --> 00:26:42,400
Speaker 1: to the VP before she's sworn in, Before she's sworn in.

464
00:26:44,119 --> 00:26:45,880
Speaker 1: I still think it would probably go to the VP.

465
00:26:46,000 --> 00:26:48,080
Speaker 1: But that's a good question. I haven't really thought about that.

466
00:26:48,119 --> 00:26:50,040
Speaker 1: I would think it would naturally at that point go

467
00:26:50,119 --> 00:26:53,399
Speaker 1: to the VP if anything happens. Yeah, well yeah, I

468
00:26:53,440 --> 00:26:57,640
Speaker 1: know that's what you know. I was told that. My

469
00:26:57,640 --> 00:27:00,000
Speaker 1: scariest thought is if she wins. And you may think

470
00:27:00,080 --> 00:27:03,560
Speaker 1: this is absolute paranoia my part, I think if my

471
00:27:03,800 --> 00:27:07,680
Speaker 1: fear is the reason Obama has done all this cover

472
00:27:07,800 --> 00:27:10,240
Speaker 1: for him, I think Obama wants to be on the

473
00:27:10,280 --> 00:27:13,840
Speaker 1: Supreme Court. I think Obama would love to be a

474
00:27:13,880 --> 00:27:19,840
Speaker 1: Supreme Court justice anyway. The other thing that the other

475
00:27:19,880 --> 00:27:22,400
Speaker 1: thing that could happen too is they could pardon her.

476
00:27:23,200 --> 00:27:28,359
Speaker 1: I don't think about that. Other words, let's say she

477
00:27:28,440 --> 00:27:31,080
Speaker 1: was convicted before she gets you know, but you're talking

478
00:27:31,080 --> 00:27:34,640
Speaker 1: about a time frame here. Knowing how the legal system works,

479
00:27:34,680 --> 00:27:37,680
Speaker 1: I just don't see legally, time wise, how that could

480
00:27:37,680 --> 00:27:40,240
Speaker 1: ever happen. But it is an interesting hypothetical and it's

481
00:27:40,240 --> 00:27:42,800
Speaker 1: a great question. But I would suspect that if that

482
00:27:42,880 --> 00:27:47,679
Speaker 1: happened that Obama would step up in Pardner right, I

483
00:27:47,680 --> 00:27:50,720
Speaker 1: don't know. I was told that that that the president

484
00:27:50,880 --> 00:27:53,680
Speaker 1: has to be has to die in order for the

485
00:27:53,760 --> 00:27:56,159
Speaker 1: VP to take over, and that it would revert to

486
00:27:56,800 --> 00:28:00,320
Speaker 1: the current president or the last president, now that that

487
00:28:00,440 --> 00:28:03,280
Speaker 1: person knew what they were talking about or not, but

488
00:28:03,480 --> 00:28:06,399
Speaker 1: I'm sure would be nice to know the real answer. All.

489
00:28:06,520 --> 00:28:09,840
Speaker 1: I appreciate your calling. Thank you so much, Cecilia. Let

490
00:28:09,960 --> 00:28:13,679
Speaker 1: us go to Judy and the in Missouri and the Ozarks.

491
00:28:13,680 --> 00:28:16,160
Speaker 1: What's up, Judy? How are you glad you called? Hi?

492
00:28:16,320 --> 00:28:18,760
Speaker 1: So thank you. First, I'm glad you gave that weather

493
00:28:18,840 --> 00:28:21,560
Speaker 1: update because I've got family in Florida north to South

494
00:28:21,600 --> 00:28:24,880
Speaker 1: Carolina and Virginia, So thanks for the update on what's

495
00:28:24,880 --> 00:28:27,000
Speaker 1: going on there. Some people complain when we do that

496
00:28:27,080 --> 00:28:29,880
Speaker 1: because well, it's not it's not impacting me, And I'm

497
00:28:29,920 --> 00:28:32,080
Speaker 1: like you know, sorry, but you s a lot of

498
00:28:32,119 --> 00:28:35,440
Speaker 1: people in the that are facing potential devastation here. We

499
00:28:35,480 --> 00:28:38,520
Speaker 1: want to keep our family of audience safe, and you're right,

500
00:28:39,080 --> 00:28:41,200
Speaker 1: you might have relatives there, but we certainly can have

501
00:28:41,240 --> 00:28:43,240
Speaker 1: empathy for those people that might be going through hard

502
00:28:43,280 --> 00:28:46,200
Speaker 1: times in the days to come, right, Oh, absolutely, and

503
00:28:46,240 --> 00:28:48,120
Speaker 1: thinking of all the prep work they're having to do

504
00:28:48,240 --> 00:28:52,200
Speaker 1: in anticipation of the possibility. So um. But anyway, I

505
00:28:52,240 --> 00:28:55,160
Speaker 1: was calling today about Trump. There's something that I really

506
00:28:55,160 --> 00:28:58,520
Speaker 1: think needs to happen that would be very effective for

507
00:28:58,560 --> 00:29:01,600
Speaker 1: those states and for those voters who just have not

508
00:29:01,760 --> 00:29:04,120
Speaker 1: made up their mind yet and they don't know what

509
00:29:04,160 --> 00:29:09,240
Speaker 1: they're gonna do. I think with relation to immigration, we

510
00:29:09,320 --> 00:29:14,680
Speaker 1: need nationals here who came in as an immigrant, went

511
00:29:14,760 --> 00:29:19,240
Speaker 1: through the process, became a citizen who are leaders of

512
00:29:19,280 --> 00:29:23,000
Speaker 1: their own right, highly respected by their own group, who

513
00:29:23,000 --> 00:29:26,920
Speaker 1: are voting for Trump, to get up and say why

514
00:29:27,040 --> 00:29:30,480
Speaker 1: he's going in the right direction, why they agree with him,

515
00:29:30,520 --> 00:29:32,920
Speaker 1: and why they're voting for him. I think we also

516
00:29:33,000 --> 00:29:35,880
Speaker 1: need to do the same thing with women. We need

517
00:29:35,920 --> 00:29:38,920
Speaker 1: to do it with UH students who are old enough.

518
00:29:39,000 --> 00:29:42,960
Speaker 1: They need students, peers who are strong into this, who

519
00:29:43,120 --> 00:29:45,400
Speaker 1: understand what's going on, know what it means for their

520
00:29:45,440 --> 00:29:48,240
Speaker 1: future to stand up and speak and say, here's why

521
00:29:48,280 --> 00:29:50,320
Speaker 1: you guys have got to vote for this man and

522
00:29:50,360 --> 00:29:52,840
Speaker 1: not vote for her. One of my fears that I

523
00:29:52,960 --> 00:29:56,880
Speaker 1: had of the debate coming up is that Hillary would

524
00:29:56,880 --> 00:29:59,239
Speaker 1: do her best to rattle Trump and he would just

525
00:30:00,040 --> 00:30:02,920
Speaker 1: blow it. And I had a friend who text me

526
00:30:03,040 --> 00:30:05,240
Speaker 1: this morning and said, I don't know if it's the

527
00:30:05,240 --> 00:30:06,920
Speaker 1: correct or not. You can tell me if it is.

528
00:30:07,280 --> 00:30:11,400
Speaker 1: That Hillary has hired an entire team of psychiatrists to

529
00:30:11,560 --> 00:30:17,680
Speaker 1: study Trump's personality to determine how he can rattle him

530
00:30:17,800 --> 00:30:20,400
Speaker 1: during the debate so that he will completely blow it.

531
00:30:20,760 --> 00:30:23,520
Speaker 1: These people who stand up and lead these different groups,

532
00:30:23,720 --> 00:30:28,560
Speaker 1: Black American women, Jews, immigration people, I mean, all of

533
00:30:28,560 --> 00:30:31,440
Speaker 1: these who have not made up their mind. They need

534
00:30:31,480 --> 00:30:33,560
Speaker 1: to get up now and they need to speak loud

535
00:30:33,600 --> 00:30:37,000
Speaker 1: and say, don't fall into the tricks and the antics.

536
00:30:37,040 --> 00:30:39,600
Speaker 1: Here's what he stands for. Here's why I'm voting for him.

537
00:30:39,640 --> 00:30:41,440
Speaker 1: Here's why I urge you to vote for him too.

538
00:30:41,720 --> 00:30:44,600
Speaker 1: I think, look, everything that I've been saying and you're saying,

539
00:30:44,840 --> 00:30:47,240
Speaker 1: I think is right. But I think Donald Trump has

540
00:30:47,360 --> 00:30:49,120
Speaker 1: a task ahead of him. He's got to prepare for

541
00:30:49,120 --> 00:30:51,360
Speaker 1: the debates. He's got to have his quips, he's got

542
00:30:51,360 --> 00:30:53,680
Speaker 1: to have his responses, how they've failed, and what his

543
00:30:53,760 --> 00:30:56,760
Speaker 1: solutions are. And yes, he's got to build that impenetrable

544
00:30:56,800 --> 00:31:00,280
Speaker 1: shield because he's gonna poke and aggravate, agitate, upset, hurt

545
00:31:00,320 --> 00:31:02,760
Speaker 1: his feelings, and try and piss him off. That's her

546
00:31:02,880 --> 00:31:06,800
Speaker 1: entire goal during the debates. On my first day in office,

547
00:31:07,280 --> 00:31:11,440
Speaker 1: I am also going to ask Congress to pass Kate's

548
00:31:11,520 --> 00:31:18,200
Speaker 1: Law named for Kate Steinler, to ensure that criminal aliens

549
00:31:18,280 --> 00:31:26,960
Speaker 1: convicted of illegal reentry received strong mandatory minimum sentences, strong

550
00:31:28,200 --> 00:31:33,120
Speaker 1: and then we get them out. Another reform of proposal

551
00:31:33,640 --> 00:31:38,640
Speaker 1: is the passes of legislation named for Detective Michael Davis

552
00:31:38,680 --> 00:31:44,719
Speaker 1: and Deputy Sheriff Dandy Oliver to law enforcement officers recently

553
00:31:44,880 --> 00:31:53,000
Speaker 1: killed by a previously deported illegal immigrant. The Davis Oliver

554
00:31:53,160 --> 00:31:57,960
Speaker 1: Bill will enhance cooperation with state and local authorities to

555
00:31:58,240 --> 00:32:05,920
Speaker 1: ensure that criminals and terrorists are swiftly, really swiftly identified

556
00:32:06,440 --> 00:32:09,800
Speaker 1: and removed. And they will go fast. Believe me, they're

557
00:32:09,800 --> 00:32:13,400
Speaker 1: gonna go for We're going to triple the number of

558
00:32:13,560 --> 00:32:20,720
Speaker 1: ICE deportation offices within ICE. I am going to create

559
00:32:20,880 --> 00:32:27,320
Speaker 1: a new special Deportation Task Force focused on identifying and

560
00:32:27,440 --> 00:32:33,000
Speaker 1: quickly removing the most dangerous criminal illegal immigrants in America

561
00:32:33,200 --> 00:32:39,680
Speaker 1: who have evaded justice, just like Hillary Clinton has evaded justice. Okay,

562
00:32:41,120 --> 00:32:46,200
Speaker 1: maybe they'll be able to deport her. All right. That

563
00:32:46,480 --> 00:32:49,080
Speaker 1: is Donald Trump from yesterday, glad you with us our

564
00:32:49,240 --> 00:32:52,080
Speaker 1: to Sean Hannity show, right down our toll free telephone number.

565
00:32:52,120 --> 00:32:54,800
Speaker 1: You want to be a part of this extravaganza on

566
00:32:54,880 --> 00:32:59,320
Speaker 1: we capped off a pretty dramatic, straightforward day in the

567
00:32:59,360 --> 00:33:01,280
Speaker 1: Trump camp. Hay and as he first met with the

568
00:33:01,320 --> 00:33:04,520
Speaker 1: President of Mexico, had a successful meeting with him. I mean,

569
00:33:04,560 --> 00:33:07,120
Speaker 1: so much happened in that meeting that really stood out

570
00:33:07,240 --> 00:33:11,760
Speaker 1: to me. You have the President Nieto saying the conversation

571
00:33:11,880 --> 00:33:14,800
Speaker 1: was open and it was constructive. Of course, you also

572
00:33:14,840 --> 00:33:18,760
Speaker 1: said he'd be willing to renegotiate and reopen AFTAH and

573
00:33:18,840 --> 00:33:22,480
Speaker 1: other trade negotiations. He said it could be improved, probably

574
00:33:22,600 --> 00:33:26,200
Speaker 1: direct reaction of Donald Trump saying it's pretty much one sided.

575
00:33:26,840 --> 00:33:29,160
Speaker 1: Now he's getting a lot of heat. I think unfairly

576
00:33:29,240 --> 00:33:32,560
Speaker 1: Jorge Ramos, Mexican president, look weak and shine next to

577
00:33:32,600 --> 00:33:35,760
Speaker 1: Donald Trump. Well, I think he recognizes the wall is

578
00:33:35,760 --> 00:33:38,040
Speaker 1: gonna go up and it's going to impact their country,

579
00:33:38,440 --> 00:33:41,160
Speaker 1: and he realizes the benefits of having good relations with

580
00:33:41,200 --> 00:33:45,760
Speaker 1: the United States. Hillary Clinton now looks bad. Sixty nine

581
00:33:45,840 --> 00:33:48,600
Speaker 1: days no press conference, if you want to look as

582
00:33:48,920 --> 00:33:52,160
Speaker 1: at this thing politically, Trump is willing to take a major,

583
00:33:52,320 --> 00:33:55,280
Speaker 1: major risk, and he's willing to show that he can

584
00:33:55,280 --> 00:33:59,000
Speaker 1: be on a world stage. And he is, you know,

585
00:33:59,120 --> 00:34:02,000
Speaker 1: taking on any criticism that he's not fit or presidential,

586
00:34:02,600 --> 00:34:04,960
Speaker 1: and I think in that sense, and he's still standing

587
00:34:04,960 --> 00:34:09,000
Speaker 1: by his core positions. And he outlined five specific specific

588
00:34:09,040 --> 00:34:12,000
Speaker 1: goals and the illegal immigration, but not just from Mexico,

589
00:34:12,040 --> 00:34:15,640
Speaker 1: from Central America, anywhere else. Secure the border. We have

590
00:34:15,719 --> 00:34:18,719
Speaker 1: a right to sovereign borders as a country, Get rid

591
00:34:18,760 --> 00:34:21,160
Speaker 1: of these drug cartels, and then the movement of illegal

592
00:34:21,239 --> 00:34:24,200
Speaker 1: drugs and weapons and funds that are going across the border.

593
00:34:24,640 --> 00:34:28,960
Speaker 1: Improve trade in NAFTA, and revisit that keep manufacturing wealth

594
00:34:29,000 --> 00:34:34,160
Speaker 1: in this hemisphere not going to other hemispheres anyway. So um,

595
00:34:34,200 --> 00:34:37,279
Speaker 1: he said he'll build the wall, said he'll pay for it.

596
00:34:37,440 --> 00:34:40,480
Speaker 1: Took a huge risk, and I would predict that you're

597
00:34:40,480 --> 00:34:42,560
Speaker 1: gonna see a major movement in the polls as a

598
00:34:42,600 --> 00:34:44,360
Speaker 1: result of this will find out by next week. But

599
00:34:44,400 --> 00:34:46,400
Speaker 1: of course the polls have been moving in Trump's direction

600
00:34:46,800 --> 00:34:50,520
Speaker 1: now for the last two weeks. Joining us is Madeline Morea,

601
00:34:50,880 --> 00:34:54,400
Speaker 1: and she's the director at Latinos for Trump And by

602
00:34:54,400 --> 00:34:57,320
Speaker 1: the way, next sunder Hair Coalition along with other Hispanic groups,

603
00:34:57,360 --> 00:34:59,200
Speaker 1: are going to be doing something big in Miami for

604
00:34:59,280 --> 00:35:03,640
Speaker 1: Donald Trump. For Cisco Hernandez, an immigration attorney out of Texas,

605
00:35:03,680 --> 00:35:08,200
Speaker 1: is back with us. Uh. Madeline, let me start with you.

606
00:35:08,239 --> 00:35:11,919
Speaker 1: So what is why is there this perception that Latinos

607
00:35:12,040 --> 00:35:15,279
Speaker 1: don't support Trump, when in fact polls show that they do.

608
00:35:15,520 --> 00:35:19,680
Speaker 1: It's just the typical liberal identity politics. If I don't know,

609
00:35:19,719 --> 00:35:21,160
Speaker 1: I who have people know this? But the number one

610
00:35:21,200 --> 00:35:25,759
Speaker 1: issue that Hispanic voters care about, it's not immigration, it's

611
00:35:25,800 --> 00:35:28,200
Speaker 1: the economy. And if you look at the issue polls,

612
00:35:28,560 --> 00:35:31,719
Speaker 1: big majorities see that Donald Trump is the stronger hand

613
00:35:31,760 --> 00:35:35,200
Speaker 1: of economy. Of course, he's the famous businessman and uh yeah,

614
00:35:35,320 --> 00:35:38,800
Speaker 1: So while we're impressed by what he said on immigration yesterday,

615
00:35:38,840 --> 00:35:42,040
Speaker 1: I'd left to see him do something game changing like uh,

616
00:35:42,200 --> 00:35:45,279
Speaker 1: announced rand Paul for his appointee for Thomas secretary or

617
00:35:45,320 --> 00:35:48,960
Speaker 1: something like that. His Spanish or not monolithic. We care

618
00:35:49,000 --> 00:35:53,080
Speaker 1: about issues that affect American Hispanic that's our background, that's

619
00:35:53,080 --> 00:35:56,719
Speaker 1: our heritage. But our present identity is American, and we

620
00:35:56,840 --> 00:35:59,279
Speaker 1: voked to wait. Every other American voters do. For the

621
00:35:59,320 --> 00:36:02,440
Speaker 1: most part, Francisco, you've said to me, you support a wall, right,

622
00:36:02,600 --> 00:36:06,440
Speaker 1: you want Andy illegal immigration? Right? Yes, an illegal immigrants

623
00:36:06,440 --> 00:36:10,000
Speaker 1: want to end illegal immigration. To know, well, but if

624
00:36:10,000 --> 00:36:14,800
Speaker 1: they wait, wait, well, that's a Francisco. Francisco, that's a

625
00:36:14,920 --> 00:36:19,359
Speaker 1: that's an insane statement. Illegal immigrants finally, you know, eliminate. Well,

626
00:36:19,440 --> 00:36:21,399
Speaker 1: if they if they wanted to eliminate, if they really

627
00:36:21,400 --> 00:36:23,839
Speaker 1: wanted to, they wouldn't come here illegal illegal if they could.

628
00:36:23,880 --> 00:36:26,600
Speaker 1: You're right, Okay, so they don't want Andy illegal immigration.

629
00:36:26,600 --> 00:36:28,400
Speaker 1: They like the fact that they can sneak across our

630
00:36:28,600 --> 00:36:30,880
Speaker 1: They like the fact that they can sneak across our border.

631
00:36:30,920 --> 00:36:33,080
Speaker 1: And they do not because if they really didn't like

632
00:36:33,160 --> 00:36:36,640
Speaker 1: illegal immigration, they wouldn't people smugglers. If they really wanted

633
00:36:36,640 --> 00:36:39,279
Speaker 1: to Andy illegal immigration, they wouldn't come here illegally. So

634
00:36:39,360 --> 00:36:41,880
Speaker 1: that's a little bit of a you know, false statement.

635
00:36:41,920 --> 00:36:43,640
Speaker 1: All right, let me let me move on here. I

636
00:36:43,680 --> 00:36:46,080
Speaker 1: think the most important thing we've got going on here

637
00:36:46,160 --> 00:36:47,919
Speaker 1: is whether or not we're going to build the wall

638
00:36:47,920 --> 00:36:50,840
Speaker 1: and how effective that wall is going to be. You

639
00:36:50,840 --> 00:36:52,600
Speaker 1: don't think it will ever be built, can afford it.

640
00:36:53,160 --> 00:36:54,960
Speaker 1: We try to do it in the two in the

641
00:36:54,960 --> 00:36:57,920
Speaker 1: two thousand's, it didn't work. Okay. I will bet you

642
00:36:58,000 --> 00:37:00,400
Speaker 1: that that wall will be built if Trump becomes president,

643
00:37:00,600 --> 00:37:03,120
Speaker 1: will meet you at the border again. Illegal immigration is

644
00:37:03,120 --> 00:37:05,680
Speaker 1: already costing US over a hundred billion dollars a year.

645
00:37:06,080 --> 00:37:09,120
Speaker 1: You know what was the wall would cost and Trump

646
00:37:09,120 --> 00:37:10,919
Speaker 1: should have talked about is how to get the cart

647
00:37:10,920 --> 00:37:13,319
Speaker 1: tails under control because they're the main reason that people

648
00:37:13,360 --> 00:37:16,160
Speaker 1: are risking their lives to come here. Second, it is

649
00:37:16,200 --> 00:37:18,920
Speaker 1: an economic issue. If there are jobs and they're giving

650
00:37:18,920 --> 00:37:22,359
Speaker 1: it to the undocumented immigrants, you're right they will come.

651
00:37:22,560 --> 00:37:24,799
Speaker 1: So we've got to make sure that if you want

652
00:37:24,800 --> 00:37:27,480
Speaker 1: to solve it, okay, don't hire in document immigrants and

653
00:37:27,520 --> 00:37:29,840
Speaker 1: all our prices will go through the roof. Trump is

654
00:37:29,920 --> 00:37:32,879
Speaker 1: just playing what we in Texas call a political cow bill.

655
00:37:33,160 --> 00:37:36,520
Speaker 1: It's shiny, it claims, but it's completely hollow. It's going

656
00:37:36,600 --> 00:37:40,200
Speaker 1: to do nothing. What you are, what you are suggesting

657
00:37:40,280 --> 00:37:42,440
Speaker 1: is what everyone else would call a definition of insanity.

658
00:37:42,520 --> 00:37:44,759
Speaker 1: Trying something again and again and seeing if it will

659
00:37:44,800 --> 00:37:49,520
Speaker 1: work this time three million illegal immigrations. It was a

660
00:37:49,560 --> 00:37:53,080
Speaker 1: complete and utter failure. So what makes everybody think that

661
00:37:53,120 --> 00:37:55,160
Speaker 1: it's going to work again this time? So you mean

662
00:37:55,200 --> 00:37:57,439
Speaker 1: if we let Cubans who get here about hook or crook,

663
00:37:57,520 --> 00:37:59,239
Speaker 1: they can stay here and get their green card and

664
00:37:59,280 --> 00:38:01,800
Speaker 1: citizenship for free. I happen to agree with you on

665
00:38:01,880 --> 00:38:04,279
Speaker 1: that point, because we already to have a refuge and

666
00:38:04,280 --> 00:38:07,839
Speaker 1: asylum program on an individual basis and makes no sense.

667
00:38:07,920 --> 00:38:09,759
Speaker 1: I agree with you, agree, agree with that we should

668
00:38:09,880 --> 00:38:12,719
Speaker 1: enforce the law fairly and equally to every human being

669
00:38:13,040 --> 00:38:17,160
Speaker 1: on this planet. That's the Mexican South American freakings. Doesn't

670
00:38:17,160 --> 00:38:20,400
Speaker 1: matter where you are, and there shouldn't be a geographical

671
00:38:20,520 --> 00:38:22,680
Speaker 1: advantage just because you have to live on the border.

672
00:38:22,719 --> 00:38:25,760
Speaker 1: What about all the poor people in Calcutta. I agree

673
00:38:25,840 --> 00:38:29,920
Speaker 1: that area that could be fair and equally applied. I

674
00:38:29,960 --> 00:38:32,680
Speaker 1: agree with you, but it is our neighbor to the south,

675
00:38:32,840 --> 00:38:35,400
Speaker 1: and in large part we cause the economic crisis in

676
00:38:35,520 --> 00:38:38,719
Speaker 1: Mexico by NAFTA, and I'm a proponent NAPTA, but we

677
00:38:38,840 --> 00:38:42,160
Speaker 1: have caused people, small farmers. They can't grow corn uh

678
00:38:42,320 --> 00:38:44,160
Speaker 1: as cheap as the jolly green giant can put it

679
00:38:44,200 --> 00:38:46,239
Speaker 1: on the shelf in the walmart in Mexico. So what's

680
00:38:46,320 --> 00:38:48,279
Speaker 1: left for them to do? Head North? Okay, but no

681
00:38:50,600 --> 00:38:53,440
Speaker 1: the cartoon, you boil it down. We have a giant

682
00:38:53,560 --> 00:38:56,680
Speaker 1: problem where millions of people are ignoring the law. It's

683
00:38:56,800 --> 00:38:59,560
Speaker 1: hurting the country on countless level. The law of the

684
00:38:59,680 --> 00:39:03,680
Speaker 1: land should be enforced equally to everyone to whom I

685
00:39:03,719 --> 00:39:10,520
Speaker 1: couldn't agree with you more years ago, nobody listened to it.

686
00:39:10,880 --> 00:39:12,480
Speaker 1: I was right then and I'm right now, and I

687
00:39:12,520 --> 00:39:15,160
Speaker 1: agree with Donald Trump now. I think Donald Trump laid

688
00:39:15,160 --> 00:39:17,400
Speaker 1: out the plan. Listen, you know here's the thing that

689
00:39:17,480 --> 00:39:22,160
Speaker 1: ill it's what it's hollow, and he crawfish. That's speech. Okay,

690
00:39:22,239 --> 00:39:25,000
Speaker 1: it's not. It's not. Listen, you're giving me political talking

691
00:39:25,040 --> 00:39:26,719
Speaker 1: points now. But you know what I don't know. Jeff

692
00:39:26,760 --> 00:39:28,879
Speaker 1: Bush made the same prediction that Trump isn't gonna build

693
00:39:28,920 --> 00:39:33,360
Speaker 1: the wall. I would be stunned and shocked beyond measure

694
00:39:33,480 --> 00:39:35,840
Speaker 1: if that wall didn't get built. If he becomes president

695
00:39:35,880 --> 00:39:37,879
Speaker 1: of the United States, and you know what, it's good

696
00:39:37,920 --> 00:39:39,360
Speaker 1: for our country to do it. And I'll tell you

697
00:39:39,440 --> 00:39:40,920
Speaker 1: why did you see at the end of the speech

698
00:39:41,040 --> 00:39:43,799
Speaker 1: last night all those mothers angeled mothers that he brought

699
00:39:43,880 --> 00:39:47,320
Speaker 1: up behind him. And all of those mothers lost their children,

700
00:39:47,880 --> 00:39:51,720
Speaker 1: lost their children that died needlessly. Can I finish please,

701
00:39:51,760 --> 00:39:53,839
Speaker 1: I'm talking about mothers that lost their children. Why are

702
00:39:53,840 --> 00:39:56,840
Speaker 1: you being so rude that lost their children because of

703
00:39:56,920 --> 00:40:02,080
Speaker 1: the illegal immigration and and criminals and murderers killing innocent

704
00:40:02,160 --> 00:40:04,560
Speaker 1: Americans have to use them. He to have to use

705
00:40:04,600 --> 00:40:06,880
Speaker 1: people's emotions. Just say what you're gonna do and put

706
00:40:06,960 --> 00:40:08,680
Speaker 1: a plan? Are you gonna do it? That was so

707
00:40:08,880 --> 00:40:14,480
Speaker 1: cheap to use those poor folks when killed by people

708
00:40:14,480 --> 00:40:16,920
Speaker 1: who should never you've been here in the first place. Well,

709
00:40:17,000 --> 00:40:19,320
Speaker 1: I guess maybe Francisco, you think it's cheap, But you

710
00:40:19,360 --> 00:40:21,320
Speaker 1: know what, those parents have to go the rest of

711
00:40:21,400 --> 00:40:24,359
Speaker 1: their lives without their children. And by the way, there

712
00:40:24,440 --> 00:40:26,719
Speaker 1: are thousands of them. This is not the case of

713
00:40:26,800 --> 00:40:29,400
Speaker 1: just those women on stage. These are not rare instances.

714
00:40:29,480 --> 00:40:32,600
Speaker 1: It's happened a lot. And and and he's an immigration attorney,

715
00:40:32,640 --> 00:40:34,400
Speaker 1: he should know. I'm an attorney as well. I used

716
00:40:34,440 --> 00:40:37,160
Speaker 1: to work in immigration, and we you and I both

717
00:40:37,280 --> 00:40:39,080
Speaker 1: know there are people who have come here three, four,

718
00:40:39,160 --> 00:40:41,200
Speaker 1: or five, six, ten times in a row who are

719
00:40:41,239 --> 00:40:44,239
Speaker 1: committing crimes, and they're hurting this country, and you and

720
00:40:44,280 --> 00:40:46,480
Speaker 1: I would agree on what the solution is that the

721
00:40:46,560 --> 00:40:48,719
Speaker 1: prison system, the court system, and why do you have

722
00:40:48,840 --> 00:40:50,880
Speaker 1: no heart? Why do you have no heart for for

723
00:40:51,080 --> 00:40:53,359
Speaker 1: mothers that lost their children? I do have a heart.

724
00:40:53,440 --> 00:40:55,759
Speaker 1: That's why it offends me that he used them. Huh.

725
00:40:55,840 --> 00:40:57,600
Speaker 1: I don't hear the heart at all. What I hear

726
00:40:57,719 --> 00:40:59,879
Speaker 1: is that you say he used them. But he's also

727
00:41:00,000 --> 00:41:02,480
Speaker 1: telling the American people the damage that has been done

728
00:41:02,560 --> 00:41:05,120
Speaker 1: as a result of illegal immigration. For example, do you

729
00:41:05,160 --> 00:41:07,480
Speaker 1: think it's fair to the taxpayers of the United States

730
00:41:07,560 --> 00:41:09,120
Speaker 1: that they have to foot the bill a hundred and

731
00:41:09,160 --> 00:41:12,520
Speaker 1: thirteen billion dollars in order to pay for illegal immigrants

732
00:41:12,800 --> 00:41:14,799
Speaker 1: up and pay for their schools, and pay for their

733
00:41:14,840 --> 00:41:16,839
Speaker 1: health care, and pay for their education, And to take

734
00:41:16,960 --> 00:41:19,400
Speaker 1: us about an hour long debate to justify that, I

735
00:41:19,440 --> 00:41:23,160
Speaker 1: think that. Do you think it's fair for the American

736
00:41:23,239 --> 00:41:26,560
Speaker 1: people that they have been bearing the burden of literally

737
00:41:26,800 --> 00:41:29,959
Speaker 1: paying million billions of dollars in taxes a year because

738
00:41:30,000 --> 00:41:32,719
Speaker 1: of illegal immigration? Is that fair to true? It would

739
00:41:32,760 --> 00:41:35,399
Speaker 1: not be fair. But let's go back to what you said.

740
00:41:35,480 --> 00:41:39,520
Speaker 1: Let's establish some fair consistent criteria. Asked you listen? You

741
00:41:39,600 --> 00:41:43,920
Speaker 1: want to ask answer another question. Answer my question, Well,

742
00:41:44,000 --> 00:41:47,040
Speaker 1: what the Congress has sat on their butts for now? No,

743
00:41:47,239 --> 00:41:50,200
Speaker 1: the President has decided unilaterally not to enforce the law

744
00:41:50,239 --> 00:41:52,879
Speaker 1: of the Lens, which I believe is lawless and on constitution.

745
00:41:53,440 --> 00:41:54,920
Speaker 1: I'm not going to ask you another question. We have

746
00:41:55,040 --> 00:41:57,760
Speaker 1: ninety million Americans out of work. We have eight million

747
00:41:57,960 --> 00:42:01,520
Speaker 1: immigrants either working, illegal imigrants working or looking for work.

748
00:42:01,800 --> 00:42:04,920
Speaker 1: Do you think it's fair to American workers that they

749
00:42:05,000 --> 00:42:07,239
Speaker 1: have to compete with the illegal immigrants for the few

750
00:42:07,360 --> 00:42:10,400
Speaker 1: jobs that are available, and because of the increased competition,

751
00:42:10,480 --> 00:42:13,560
Speaker 1: it drives down the wages that they pay. We're assuming

752
00:42:13,600 --> 00:42:15,080
Speaker 1: that the U. S. Citizens will get up on a

753
00:42:15,160 --> 00:42:17,640
Speaker 1: roof on a hundred and five degree weather. Let's let's

754
00:42:17,680 --> 00:42:19,960
Speaker 1: make it a Instead of policy and punishing, let's just

755
00:42:20,040 --> 00:42:22,279
Speaker 1: say we're going to give employers an incentive if they

756
00:42:22,280 --> 00:42:24,600
Speaker 1: will hire U. S. Citizens to do these dirty jobs.

757
00:42:24,680 --> 00:42:26,920
Speaker 1: Let's start there. Okay, Well, first of all, it's not

758
00:42:27,040 --> 00:42:30,000
Speaker 1: for you to determine what jobs Americans want or don't want.

759
00:42:30,080 --> 00:42:33,600
Speaker 1: There's nine million Americans out of the labor force, increase

760
00:42:33,680 --> 00:42:36,800
Speaker 1: for black Americans who no longer participate through out of

761
00:42:36,800 --> 00:42:39,359
Speaker 1: the labor participation force, and then you've got a fifty

762
00:42:39,400 --> 00:42:42,080
Speaker 1: eight percent of Black Americans now on food stamps as

763
00:42:42,080 --> 00:42:44,640
Speaker 1: a result of Obama's policies. And I listen to you,

764
00:42:44,760 --> 00:42:46,680
Speaker 1: and you don't care about anybody except I guess the

765
00:42:46,719 --> 00:42:49,200
Speaker 1: people that are paying you to let them stay in

766
00:42:49,280 --> 00:42:51,960
Speaker 1: this country illegally, that are benefiting from the generosity of

767
00:42:52,000 --> 00:42:54,719
Speaker 1: American try to get them here legally and get them

768
00:42:54,800 --> 00:42:57,320
Speaker 1: keep them here legally. That you don't. You've never represented

769
00:42:57,360 --> 00:42:59,720
Speaker 1: illegal immigrants and tried to keep them here. I'm sorry

770
00:43:00,080 --> 00:43:03,880
Speaker 1: you ever represented any illegal immigrants on American soil an

771
00:43:03,880 --> 00:43:07,040
Speaker 1: attempt to help to keep them here. So you make people, okay,

772
00:43:07,080 --> 00:43:09,680
Speaker 1: so you you make some of your money helping people

773
00:43:09,719 --> 00:43:12,160
Speaker 1: that didn't respect our laws and sovereignty to stay here.

774
00:43:12,280 --> 00:43:14,920
Speaker 1: I'm sorry I didn't catch that. I said, you get

775
00:43:14,960 --> 00:43:18,359
Speaker 1: paid money to help people that didn't respect American law

776
00:43:18,400 --> 00:43:21,400
Speaker 1: and sovereignty. You're getting paid a lot of money to

777
00:43:21,480 --> 00:43:23,919
Speaker 1: put on a tape about illegal people being here there, okay,

778
00:43:24,440 --> 00:43:26,440
Speaker 1: getting paid anything. And I can see that it's not

779
00:43:26,560 --> 00:43:29,480
Speaker 1: fair to enforce all all differently depending on what you've

780
00:43:29,520 --> 00:43:31,200
Speaker 1: done and where you've come from. You and I do

781
00:43:31,320 --> 00:43:33,400
Speaker 1: not disagree one bit on that, not one bit. And

782
00:43:33,480 --> 00:43:35,480
Speaker 1: you also get good. I'm glad we can agree. And

783
00:43:35,680 --> 00:43:37,840
Speaker 1: what do you say to the people who lose jobs

784
00:43:37,880 --> 00:43:40,880
Speaker 1: to illegal immigrants and they then themselves have to go

785
00:43:41,000 --> 00:43:44,080
Speaker 1: on food stamps and social assistance. Let them put on

786
00:43:44,600 --> 00:43:46,760
Speaker 1: the stage with Trump, say you know what our platform.

787
00:43:46,880 --> 00:43:48,600
Speaker 1: Why if they go on the stage with Trump, you're

788
00:43:48,600 --> 00:43:50,839
Speaker 1: gonna say that Trump is using those people, and that's

789
00:43:50,840 --> 00:43:53,960
Speaker 1: not fair to those people exactly. So you just told

790
00:43:54,040 --> 00:43:56,440
Speaker 1: them to put them on stage. But the reality is

791
00:43:56,480 --> 00:43:58,439
Speaker 1: you don't care as long as the people that pay

792
00:43:58,520 --> 00:44:01,359
Speaker 1: you get to stay in the country. Now we're making

793
00:44:01,440 --> 00:44:04,600
Speaker 1: it about me, but you make millions of dollars pretty

794
00:44:05,280 --> 00:44:07,520
Speaker 1: you have no idea how much I get. I get

795
00:44:07,520 --> 00:44:09,440
Speaker 1: paid to talk about the issues of the day, which

796
00:44:09,520 --> 00:44:11,399
Speaker 1: is means I'm a talk show host. I'm not helping

797
00:44:11,440 --> 00:44:14,040
Speaker 1: illegal immigrants get to stay in a country that they

798
00:44:14,080 --> 00:44:16,719
Speaker 1: didn't respect American law and sovereignty. Trump would have been

799
00:44:16,800 --> 00:44:18,759
Speaker 1: up there last night without talking about in the in

800
00:44:18,840 --> 00:44:21,520
Speaker 1: the networks and you and the vote and the parties.

801
00:44:21,600 --> 00:44:23,799
Speaker 1: Everybody's making money off of them, right, but we all

802
00:44:23,880 --> 00:44:26,000
Speaker 1: agree that there ought to be. I'm not making money

803
00:44:26,040 --> 00:44:28,799
Speaker 1: off of people that break American laws like you are. Well,

804
00:44:29,160 --> 00:44:31,360
Speaker 1: we agree that, Hey, let's come up with the criteria.

805
00:44:31,480 --> 00:44:35,520
Speaker 1: Let's get it done. The criteria law put on the

806
00:44:35,560 --> 00:44:38,920
Speaker 1: show Mr Hannity five years ago. We can do and

807
00:44:38,960 --> 00:44:42,280
Speaker 1: there's too many people. Over twelve million people are arrested

808
00:44:42,520 --> 00:44:45,200
Speaker 1: every year by law, and for twelve million people, more

809
00:44:45,280 --> 00:44:47,919
Speaker 1: than two million people are in jail at any given points.

810
00:44:47,960 --> 00:44:49,279
Speaker 1: So how on earth do we do it? I mean

811
00:44:49,360 --> 00:44:51,719
Speaker 1: it should be impossible, right, based on the logic of

812
00:44:51,800 --> 00:44:54,840
Speaker 1: you and everybody else says, we can't support everybody. This

813
00:44:55,040 --> 00:44:58,160
Speaker 1: is America, it's not a third world country. We need

814
00:44:58,239 --> 00:45:01,200
Speaker 1: to enforce our laws. Everybody's says. Trump might be another Reagan.

815
00:45:01,239 --> 00:45:03,840
Speaker 1: I think he'll be another Kennedy because Kennedy made his

816
00:45:03,880 --> 00:45:05,200
Speaker 1: speech saying that we were going to go to the

817
00:45:05,280 --> 00:45:07,480
Speaker 1: Moon and NASA had no idea he was going to

818
00:45:07,560 --> 00:45:11,080
Speaker 1: say it and you don't even have the technologies to

819
00:45:11,160 --> 00:45:13,000
Speaker 1: even try to do this, but he believed we could

820
00:45:13,000 --> 00:45:15,239
Speaker 1: do it, and we did it within a decade. So

821
00:45:15,360 --> 00:45:18,080
Speaker 1: Trump is going to be that president who who wills

822
00:45:18,400 --> 00:45:20,239
Speaker 1: into doing well, we half forcing all off with the

823
00:45:20,320 --> 00:45:22,839
Speaker 1: benefit of everybody here. And you know what, I think

824
00:45:22,880 --> 00:45:25,320
Speaker 1: even your clients, it can end up helping them because

825
00:45:25,480 --> 00:45:28,280
Speaker 1: as soon as we finished doing the enforcement part. Trump said,

826
00:45:28,480 --> 00:45:31,200
Speaker 1: We're going to reform the legal procedure for them to

827
00:45:31,280 --> 00:45:33,960
Speaker 1: come in, so maybe they'll begin to come in sooner

828
00:45:34,040 --> 00:45:36,640
Speaker 1: and not the eighteen year weight from Mexico. Let's try

829
00:45:36,760 --> 00:45:39,879
Speaker 1: something different. It can be better for everybody, like we said,

830
00:45:39,960 --> 00:45:42,759
Speaker 1: both Mexico and the United States. What he said was

831
00:45:42,880 --> 00:45:44,759
Speaker 1: the president of Mexico. Yes, that was That was a

832
00:45:44,840 --> 00:45:47,840
Speaker 1: historic moment. It was something we never heard before. And

833
00:45:47,920 --> 00:45:50,040
Speaker 1: he did it from a position of strength. He didn't

834
00:45:50,080 --> 00:45:53,120
Speaker 1: go in there being weak. He told everybody how proud

835
00:45:53,239 --> 00:45:55,400
Speaker 1: and how much he loves his country. What a what

836
00:45:55,560 --> 00:45:58,120
Speaker 1: a difference from Barack Obama. Thank you both for being

837
00:45:58,200 --> 00:46:01,040
Speaker 1: will us, Madeline, thank you, Cis Go, thank you. I'm

838
00:46:01,120 --> 00:46:04,680
Speaker 1: so proud of my team. Here on the Sean Hannity Show,

839
00:46:05,520 --> 00:46:07,920
Speaker 1: We've got Linda I'm not as proud as her as

840
00:46:07,960 --> 00:46:11,400
Speaker 1: everybody else. But then we got Jason Ethan. Well, come on,

841
00:46:11,560 --> 00:46:13,480
Speaker 1: I'm just kidding. You're the leader of the team. You

842
00:46:13,680 --> 00:46:16,040
Speaker 1: defend the whole team, all right, Who made the mistakes?

843
00:46:16,160 --> 00:46:19,319
Speaker 1: This is Linda, I know who. I'll hint I did.

844
00:46:20,040 --> 00:46:21,919
Speaker 1: And I'm like, oh, the sun doesn't rise in China

845
00:46:21,960 --> 00:46:24,200
Speaker 1: and it's it's Linda's fault, even though I knows she

846
00:46:24,239 --> 00:46:25,760
Speaker 1: had nothing to do with it. Who made the mistake?

847
00:46:26,160 --> 00:46:28,520
Speaker 1: I did? I protects her team. She looks at them

848
00:46:28,560 --> 00:46:31,640
Speaker 1: as her little you know, I don't know your children

849
00:46:31,680 --> 00:46:34,400
Speaker 1: are something. I mean, it's so protective, it's unbelievable anyway.

850
00:46:34,960 --> 00:46:36,960
Speaker 1: But our good friend Lauren, and yes, you can put

851
00:46:37,000 --> 00:46:39,760
Speaker 1: your mic on there. Lauren has now brought her second

852
00:46:39,840 --> 00:46:43,319
Speaker 1: dog into our studios and she trains them. These are

853
00:46:43,440 --> 00:46:46,719
Speaker 1: vet dogs and every year some friends of mine have

854
00:46:46,920 --> 00:46:49,880
Speaker 1: a program that they put together. It's the Guide Dog Foundation.

855
00:46:49,960 --> 00:46:53,040
Speaker 1: It's their seventie anniversary. And how many dogs? Now have

856
00:46:53,160 --> 00:46:56,239
Speaker 1: you taken in? Lauren? H this? This is treat She's

857
00:46:56,239 --> 00:46:58,200
Speaker 1: our second dog that we've had here in the studio

858
00:46:58,280 --> 00:47:00,919
Speaker 1: and she's amazing. And these dogs do so wonderful things

859
00:47:01,000 --> 00:47:03,640
Speaker 1: for people, and so I'm so proud to be part

860
00:47:03,719 --> 00:47:06,359
Speaker 1: of it. And she loves being here and she loves

861
00:47:06,440 --> 00:47:09,160
Speaker 1: jumping on you. Well, here's the thing. And what was

862
00:47:09,200 --> 00:47:12,399
Speaker 1: the first dog's name? I forgot? Moats? Mr Moats? Alright?

863
00:47:12,480 --> 00:47:16,160
Speaker 1: Mr Moates actually graduated and it's a successfully been placed. Correct.

864
00:47:16,480 --> 00:47:19,759
Speaker 1: He's actually a breeder. Oh, they're using him to breed

865
00:47:20,080 --> 00:47:22,560
Speaker 1: he's living it up in California. He got the tough

866
00:47:22,600 --> 00:47:26,640
Speaker 1: assignment he did. He was the laziest dog I ever met.

867
00:47:26,680 --> 00:47:29,400
Speaker 1: The dog wouldn't move. The dog was a puppy and like, oh,

868
00:47:29,440 --> 00:47:31,080
Speaker 1: I don't feel like get anything out. You're gonna make

869
00:47:31,120 --> 00:47:33,640
Speaker 1: me stand up? He gets up for one thing. Yeah,

870
00:47:33,640 --> 00:47:37,120
Speaker 1: apparently that's up one thing. And the funny thing about

871
00:47:37,160 --> 00:47:39,680
Speaker 1: all of this is um Treat. I don't think it's

872
00:47:39,719 --> 00:47:41,759
Speaker 1: gonna make it now. I love the dog. What kind

873
00:47:41,800 --> 00:47:44,800
Speaker 1: of dog is Treat of? She's half golden half lab Okay,

874
00:47:44,960 --> 00:47:47,799
Speaker 1: I love Treat, you know. I love treat. Treat loves

875
00:47:47,840 --> 00:47:50,360
Speaker 1: to play with her, you know Uncle Sewan and jumps

876
00:47:50,360 --> 00:47:52,880
Speaker 1: all over me. And the thing is, I'm sorry, No,

877
00:47:53,960 --> 00:47:56,120
Speaker 1: that's not in accurate depiction of what happens on a

878
00:47:56,200 --> 00:47:59,400
Speaker 1: daily basis. I think Uncle Sean likes to play with

879
00:47:59,560 --> 00:48:02,440
Speaker 1: Treat and he's a bad influence. Okay, But the bottom

880
00:48:02,480 --> 00:48:05,800
Speaker 1: line is Treat can't help himself. When he sees me

881
00:48:05,840 --> 00:48:07,720
Speaker 1: get so excited, he jumps on me and that's against

882
00:48:07,760 --> 00:48:09,440
Speaker 1: the rules. So I'm not sure Treats gonna make it

883
00:48:09,480 --> 00:48:12,880
Speaker 1: to graduation before. After you say jump jump, Treat, she

884
00:48:13,000 --> 00:48:16,120
Speaker 1: does it without me saying that anymore. That's because you

885
00:48:16,239 --> 00:48:17,920
Speaker 1: hit your legs. You go, come on, come on, come on,

886
00:48:18,000 --> 00:48:20,320
Speaker 1: come here, jump Okay, But if it was so disciplined

887
00:48:20,400 --> 00:48:22,960
Speaker 1: and so well trained, he wouldn't listen. She's ten months old.

888
00:48:23,040 --> 00:48:25,600
Speaker 1: She is a work in progress. She's an incredible dog.

889
00:48:25,719 --> 00:48:27,520
Speaker 1: I really hope she doesn't make it, because she's great.

890
00:48:27,640 --> 00:48:29,560
Speaker 1: I agree, I hope she makes it. And if you noticed,

891
00:48:29,600 --> 00:48:31,440
Speaker 1: I have stopped saying jump. But in the beginning I

892
00:48:31,520 --> 00:48:33,799
Speaker 1: did say jump just to prove you weren't the best

893
00:48:33,840 --> 00:48:35,719
Speaker 1: trainer that you thought you were. And we were having

894
00:48:35,880 --> 00:48:39,239
Speaker 1: some fun inside of the studio saying, but you still

895
00:48:39,280 --> 00:48:42,960
Speaker 1: hit your legs. I do not. Brad Hibbert is the

896
00:48:43,080 --> 00:48:48,080
Speaker 1: director of training at America's Vet Dogs and retired U. S.

897
00:48:48,200 --> 00:48:51,480
Speaker 1: Army Major Peter Way is a recipient of American Vet Dog.

898
00:48:52,040 --> 00:48:54,160
Speaker 1: And I gotta tell you we have actually if you

899
00:48:54,200 --> 00:48:56,280
Speaker 1: want to make a contribution, We've set up a website

900
00:48:56,400 --> 00:49:00,919
Speaker 1: at Hannity dot vet Dogs dot org. And you've gotta

901
00:49:00,960 --> 00:49:04,000
Speaker 1: understand what happens here. These vet dogs are pretty amazing.

902
00:49:04,040 --> 00:49:08,800
Speaker 1: It costs fifty dollars to breed, raise, train, and place

903
00:49:09,040 --> 00:49:13,680
Speaker 1: a single service dog. It was created to provide enhance

904
00:49:13,800 --> 00:49:18,640
Speaker 1: mobility renewed independence to our vets, active duty service members,

905
00:49:18,719 --> 00:49:22,600
Speaker 1: first responders that have disabilities. The VET Dogs serve our

906
00:49:22,760 --> 00:49:27,080
Speaker 1: veterans who have served us honorably and regardless of when

907
00:49:27,360 --> 00:49:30,239
Speaker 1: or where they served or how they become disabled. Now

908
00:49:30,360 --> 00:49:33,319
Speaker 1: America's Vet Dogs is a five oh one c three nonprofit.

909
00:49:33,560 --> 00:49:36,760
Speaker 1: It relies on contributions from you, and frankly, the government

910
00:49:36,800 --> 00:49:38,600
Speaker 1: ought to be doing this, just like they ought to

911
00:49:38,640 --> 00:49:40,560
Speaker 1: fix the VA. But they're not, so they need our

912
00:49:40,600 --> 00:49:45,359
Speaker 1: help anyway. Brad and um um major way, Peter, thank

913
00:49:45,440 --> 00:49:49,040
Speaker 1: you for being with us, Sara my honor. Yeah, thanks, Shawn.

914
00:49:49,120 --> 00:49:52,319
Speaker 1: This bread great opportunity to talk about our program. And Lauren,

915
00:49:52,400 --> 00:49:54,839
Speaker 1: I'm behind. I got a feeling I know who needs

916
00:49:54,880 --> 00:49:58,200
Speaker 1: the training here and it's not treat Uh, well, come on.

917
00:49:58,320 --> 00:49:59,839
Speaker 1: It was all in good fun. I was just trying

918
00:49:59,880 --> 00:50:01,680
Speaker 1: to say that the dog isn't getting there yet. And

919
00:50:01,960 --> 00:50:03,840
Speaker 1: I got to give a shout out to to some

920
00:50:04,000 --> 00:50:06,640
Speaker 1: friends of mine. They are members of the Huntington Long

921
00:50:06,719 --> 00:50:10,320
Speaker 1: Island Country Club and they do this every year. And

922
00:50:10,400 --> 00:50:12,040
Speaker 1: what I understand, how much did you guys raise in

923
00:50:12,040 --> 00:50:14,680
Speaker 1: the last few years from from this particular golf event.

924
00:50:14,760 --> 00:50:16,879
Speaker 1: That they do for you. Gosh, you know, I don't

925
00:50:16,920 --> 00:50:19,279
Speaker 1: even have the numbers, Sean, but it's it's it's a lot.

926
00:50:19,360 --> 00:50:22,480
Speaker 1: And we just had it last money tremendous turnout. Everybody

927
00:50:22,520 --> 00:50:24,520
Speaker 1: there had a blast and a good time, and Peter

928
00:50:24,719 --> 00:50:27,200
Speaker 1: was there. Yeah, that's awesome. Peter. Tell us about your dog.

929
00:50:27,480 --> 00:50:31,000
Speaker 1: So my dog is a black Labrador named Rory, and

930
00:50:31,480 --> 00:50:36,160
Speaker 1: I received him in January of two thousand fourteen, and

931
00:50:36,760 --> 00:50:40,160
Speaker 1: he was trained to help me with mobility issues. I'm

932
00:50:40,239 --> 00:50:44,759
Speaker 1: a right above knee amputee. Uh. And then I've also

933
00:50:44,840 --> 00:50:48,160
Speaker 1: had issues with PTSD and uh some of the other

934
00:50:48,719 --> 00:50:55,239
Speaker 1: more common military and wartime problems. And so Rory helps

935
00:50:55,280 --> 00:50:58,880
Speaker 1: me out with with mobility, with getting around with him

936
00:50:58,920 --> 00:51:01,600
Speaker 1: without a prosthetic, uh, and when I'm in a wheelchair.

937
00:51:02,560 --> 00:51:05,800
Speaker 1: And then he was trained too to handle other tasks

938
00:51:05,800 --> 00:51:09,800
Speaker 1: such as nightmare interruption and uh. He sort of creates

939
00:51:09,800 --> 00:51:12,880
Speaker 1: a distraction for me when I'm out out in public,

940
00:51:13,560 --> 00:51:16,879
Speaker 1: crowded areas, things like that, and gives me something else

941
00:51:16,960 --> 00:51:19,080
Speaker 1: to focus on. You know. Let me ask you, to

942
00:51:19,239 --> 00:51:21,520
Speaker 1: what extent have you had a scale of one to

943
00:51:21,760 --> 00:51:25,120
Speaker 1: ten the impact that this service dog has had on

944
00:51:25,239 --> 00:51:29,600
Speaker 1: your life considering you're an amputee, I mean very difficult PTSD.

945
00:51:29,680 --> 00:51:32,400
Speaker 1: They're over two hundred and fifty thousand vets that to

946
00:51:32,600 --> 00:51:36,719
Speaker 1: some degree or another have been suffering from PTSD from

947
00:51:36,760 --> 00:51:39,200
Speaker 1: Iraq and Afghanistan because of the multiple tours that we

948
00:51:39,280 --> 00:51:41,479
Speaker 1: put them on to what if you had to skive

949
00:51:41,520 --> 00:51:43,400
Speaker 1: a scale one of ten, how much of an impact

950
00:51:43,440 --> 00:51:45,239
Speaker 1: has it had on your life? Tend being the best

951
00:51:46,040 --> 00:51:48,880
Speaker 1: he's he's absolutely at TEND, you know, and it's it's

952
00:51:48,920 --> 00:51:51,400
Speaker 1: sort of cliche to say, oh, it's beyond you know,

953
00:51:51,480 --> 00:51:55,880
Speaker 1: even beyond that scale. Uh, It's it's almost impossible to

954
00:51:57,000 --> 00:51:59,759
Speaker 1: sometimes to put into words or even even scale the

955
00:52:00,080 --> 00:52:03,919
Speaker 1: fact that he's uh influenced and affected not just my life,

956
00:52:04,000 --> 00:52:06,920
Speaker 1: but my family's life. You know, I'm I'm a different person,

957
00:52:07,760 --> 00:52:12,239
Speaker 1: uh entirely since getting this dog do things that uh

958
00:52:13,239 --> 00:52:16,040
Speaker 1: I just wasn't able to do anymore. Um, you know,

959
00:52:16,200 --> 00:52:20,359
Speaker 1: the psychological side of just getting out doing things, getting

960
00:52:20,400 --> 00:52:23,520
Speaker 1: out in public, going places with my family. So this

961
00:52:23,960 --> 00:52:27,200
Speaker 1: this has had a total complete If your ten, I

962
00:52:27,200 --> 00:52:29,200
Speaker 1: would assume that that means that this has been a

963
00:52:29,320 --> 00:52:33,480
Speaker 1: total complete upgrading your life to the point where it

964
00:52:33,600 --> 00:52:36,920
Speaker 1: is profoundly made your life better. Is that a fair statement.

965
00:52:37,280 --> 00:52:39,080
Speaker 1: I don't want to put words in your mouth now.

966
00:52:39,239 --> 00:52:42,640
Speaker 1: That's that's absolutely he has Uh, he's changed my life

967
00:52:42,680 --> 00:52:44,680
Speaker 1: so much for the better. It's a you know, it's

968
00:52:44,719 --> 00:52:47,720
Speaker 1: a hundred eighty degrees from the direction I was headed

969
00:52:47,719 --> 00:52:51,719
Speaker 1: in the place that I was in prior to getting him. Wow. Wow,

970
00:52:51,880 --> 00:52:54,880
Speaker 1: that's so great now, Brad, how can people help and

971
00:52:55,000 --> 00:52:58,759
Speaker 1: explain the process here, because fifty dollars per dog is

972
00:52:58,760 --> 00:53:01,640
Speaker 1: a lot of money. Yeah, I mean, let's start with

973
00:53:01,719 --> 00:53:04,000
Speaker 1: the process. I mean, that is a it's a big number.

974
00:53:04,120 --> 00:53:05,719
Speaker 1: But when you think about it, what we're doing is

975
00:53:05,760 --> 00:53:08,200
Speaker 1: we're breeding all of our own puppies. So we have

976
00:53:08,239 --> 00:53:11,480
Speaker 1: a very strong breeding program. We work cooperatively internationally to

977
00:53:11,560 --> 00:53:13,920
Speaker 1: make sure that we're strengthening our DNA and our colony.

978
00:53:14,320 --> 00:53:16,960
Speaker 1: So we're breeding all of our own puppies. Our service

979
00:53:17,040 --> 00:53:19,400
Speaker 1: dogs are all raised in a prison program which has

980
00:53:19,440 --> 00:53:21,560
Speaker 1: to be supported all up and down the Eastern Seaboard.

981
00:53:21,960 --> 00:53:24,640
Speaker 1: We work with inmates from Massachusetts all the way down

982
00:53:24,680 --> 00:53:27,080
Speaker 1: into Florida to raise these dogs until they're about a

983
00:53:27,160 --> 00:53:29,560
Speaker 1: year and a half of age. Then they come into

984
00:53:29,600 --> 00:53:33,240
Speaker 1: our campus at Smithtown, Long Island to begin their formal training.

985
00:53:33,320 --> 00:53:35,200
Speaker 1: So you have the staff and everybody that's involved in

986
00:53:35,239 --> 00:53:37,840
Speaker 1: the care and the training of the dog. We have

987
00:53:37,920 --> 00:53:40,200
Speaker 1: our facility here where we provide a two week program

988
00:53:40,280 --> 00:53:41,920
Speaker 1: for our veterans that come in and work with their

989
00:53:41,960 --> 00:53:44,360
Speaker 1: guide dog or their service dog here, and then we

990
00:53:44,440 --> 00:53:48,080
Speaker 1: also provide a lifetime of aftercare and support. So if

991
00:53:48,120 --> 00:53:50,480
Speaker 1: Peter when he first graduated, he went home with Rory

992
00:53:50,520 --> 00:53:52,600
Speaker 1: and he was having any issues, or even today, if

993
00:53:52,640 --> 00:53:55,279
Speaker 1: he was having any issues, we would fly somebody out

994
00:53:55,400 --> 00:53:57,399
Speaker 1: to work with Peter and Roy to get them back

995
00:53:57,440 --> 00:53:59,920
Speaker 1: on the right track. So when you combine all those

996
00:54:00,080 --> 00:54:03,919
Speaker 1: things together, you know, it's it's not an inexpensive proposition. Wow,

997
00:54:04,040 --> 00:54:07,120
Speaker 1: that's so expensive. That's so hard and so difficult. Um,

998
00:54:07,320 --> 00:54:10,040
Speaker 1: you know, if how many dogs actually train a year

999
00:54:10,840 --> 00:54:13,719
Speaker 1: right now? If you combine so we have two organizations,

1000
00:54:13,760 --> 00:54:17,560
Speaker 1: two sister organizations, Guide Dog Foundation, which as you mentioned earlier,

1001
00:54:17,760 --> 00:54:21,000
Speaker 1: is celebrating the seventh anniversary, and then we have America's

1002
00:54:21,080 --> 00:54:24,320
Speaker 1: Vet Dogs that started in two thousand and three and

1003
00:54:25,040 --> 00:54:28,520
Speaker 1: right now this year we're on track probably providing If

1004
00:54:28,520 --> 00:54:31,080
Speaker 1: you combine those two organizations together, we're looking at around

1005
00:54:31,080 --> 00:54:33,080
Speaker 1: a hundred and sixty dogs going out the door. Wow,

1006
00:54:33,200 --> 00:54:34,680
Speaker 1: that's a lot of dogs, and that's a lot of

1007
00:54:34,719 --> 00:54:36,719
Speaker 1: people to help. But you can help even more if

1008
00:54:36,760 --> 00:54:39,920
Speaker 1: you get more money. You get no money from the government, correct,

1009
00:54:40,000 --> 00:54:43,040
Speaker 1: And that's right. There's there's no governmental revenue streams coming

1010
00:54:43,080 --> 00:54:45,480
Speaker 1: into us. I think that people get confused about that,

1011
00:54:45,520 --> 00:54:47,480
Speaker 1: and there's some myths out there that that the v

1012
00:54:47,640 --> 00:54:50,000
Speaker 1: A or the government or the military in some way

1013
00:54:50,120 --> 00:54:53,080
Speaker 1: is providing these dogs and they're not. It's organizations like

1014
00:54:53,160 --> 00:54:55,839
Speaker 1: ours that are that are filling that gap. Yeah, well,

1015
00:54:55,920 --> 00:54:58,120
Speaker 1: let me ask you last question here, So how many

1016
00:54:58,320 --> 00:55:00,600
Speaker 1: vets would like to have these dog because that don't

1017
00:55:00,640 --> 00:55:03,200
Speaker 1: have these dogs? You know, right now we can't even

1018
00:55:03,560 --> 00:55:06,400
Speaker 1: we're working very hard to keep up with the numbers

1019
00:55:06,560 --> 00:55:08,279
Speaker 1: you know that we can put out each year. It's

1020
00:55:08,360 --> 00:55:10,840
Speaker 1: it's a question of dollars. And since I know that

1021
00:55:10,960 --> 00:55:13,440
Speaker 1: you you mentioned earlier that donors out there that are

1022
00:55:13,480 --> 00:55:15,640
Speaker 1: interested in supporting us and making sure that we can

1023
00:55:15,719 --> 00:55:18,160
Speaker 1: continue to provide and provide even more can go to

1024
00:55:18,600 --> 00:55:22,480
Speaker 1: Handity dot ve Dogs dot org uh to make that contribution.

1025
00:55:22,600 --> 00:55:26,280
Speaker 1: But right now, we're proud that our our waiting list

1026
00:55:26,640 --> 00:55:28,880
Speaker 1: compared to the most of the industry, we're looking at

1027
00:55:28,880 --> 00:55:31,080
Speaker 1: around a year and a half for a veteran to

1028
00:55:31,120 --> 00:55:32,840
Speaker 1: have to wait to get a dog. Some other places

1029
00:55:32,920 --> 00:55:35,320
Speaker 1: can be three to five years. So we're really working

1030
00:55:35,360 --> 00:55:37,640
Speaker 1: to maximize the donor dollar to make sure we're providing

1031
00:55:37,800 --> 00:55:40,400
Speaker 1: much service as we can. But it really is just

1032
00:55:40,600 --> 00:55:43,160
Speaker 1: a structure of how many staff and how many dogs

1033
00:55:43,239 --> 00:55:46,600
Speaker 1: we can breed, and and right now it's it's unfortunately,

1034
00:55:47,320 --> 00:55:50,080
Speaker 1: it's a bottomless number. There's a lot of veterans. Especially

1035
00:55:50,160 --> 00:55:53,239
Speaker 1: since we started our PTSD program, we're getting a lot

1036
00:55:53,320 --> 00:55:55,879
Speaker 1: of applicants for people that want to do that because

1037
00:55:55,920 --> 00:55:58,640
Speaker 1: they're learning more about how the human animal bond can

1038
00:55:58,680 --> 00:56:00,520
Speaker 1: really make a difference in how that can help them

1039
00:56:00,600 --> 00:56:03,560
Speaker 1: re integrate back into their community. That's really great what

1040
00:56:03,680 --> 00:56:05,200
Speaker 1: you guys are doing. Again, I want to thank all

1041
00:56:05,239 --> 00:56:07,880
Speaker 1: of you for what you do. It's called Vet Dogs

1042
00:56:07,920 --> 00:56:10,040
Speaker 1: for America. We put it on our website. You can

1043
00:56:10,080 --> 00:56:13,879
Speaker 1: make a contribution. It's a tax deductive all Hannity dot

1044
00:56:14,000 --> 00:56:18,120
Speaker 1: Vet Dogs one word Hannity dot Vet Dogs dot org

1045
00:56:18,880 --> 00:56:22,440
Speaker 1: and uh Major Army Major Peter Wade, thank you, God,

1046
00:56:22,520 --> 00:56:24,400
Speaker 1: bless you, thank you and I'm so sorry you you

1047
00:56:24,520 --> 00:56:27,800
Speaker 1: suffered so dearly for your country. And Brad, thank you

1048
00:56:27,920 --> 00:56:29,640
Speaker 1: for what you're doing with the training here, and I

1049
00:56:29,760 --> 00:56:32,040
Speaker 1: hope everyone will go to my website and donate to

1050
00:56:32,120 --> 00:56:34,120
Speaker 1: this great cause. And uh, I want to thank our

1051
00:56:34,160 --> 00:56:36,920
Speaker 1: friends in Huntington at the country club there that that

1052
00:56:37,080 --> 00:56:39,480
Speaker 1: put this on every year. It's pretty amazing. They asked

1053
00:56:39,520 --> 00:56:41,000
Speaker 1: me to be a part of the tournament. I can't

1054
00:56:41,040 --> 00:56:43,920
Speaker 1: play obviously because I work every Monday. But thank you

1055
00:56:43,960 --> 00:56:45,719
Speaker 1: all for being with us, and thanks for what you're doing.

1056
00:56:46,480 --> 00:56:48,759
Speaker 1: Thanks for your support as well. Sean. All right, yeah,

1057
00:56:48,800 --> 00:56:51,120
Speaker 1: thank you very much. Al Right, guys, thank you both.

1058
00:56:51,200 --> 00:56:53,520
Speaker 1: We appreciate it. All right. Eight hundred nine four one

1059
00:56:53,520 --> 00:56:56,040
Speaker 1: Sewn Myra is in Wisconsin. Myra, Hi, how are you?

1060
00:56:56,120 --> 00:56:59,839
Speaker 1: Glad you called? Hi? Sean? What's up? Myra? How are

1061
00:56:59,880 --> 00:57:03,080
Speaker 1: you you? Oh? I am. I am great and very

1062
00:57:03,480 --> 00:57:06,640
Speaker 1: very worried about this election. But I'm calling because, um,

1063
00:57:07,440 --> 00:57:11,480
Speaker 1: you made a comment about funding a plane for Barbra

1064
00:57:11,560 --> 00:57:13,920
Speaker 1: Streissen and those others that want to leave the country

1065
00:57:14,000 --> 00:57:17,000
Speaker 1: if Trump is elected, and I think that's a wonderful

1066
00:57:17,080 --> 00:57:19,400
Speaker 1: idea and I will go on board with you and

1067
00:57:19,680 --> 00:57:22,200
Speaker 1: put in some money to get them out of the country,

1068
00:57:22,360 --> 00:57:25,280
Speaker 1: not just her, but full of Hollywood. Well look, I'm

1069
00:57:25,280 --> 00:57:27,960
Speaker 1: gonna tell you something. If she wants to leave, anybody else,

1070
00:57:28,280 --> 00:57:31,480
Speaker 1: Michael Moore, whoever wants to go, Sean Penn, whoever says

1071
00:57:31,520 --> 00:57:34,040
Speaker 1: they want to go. I'll pay for the plane. They

1072
00:57:34,080 --> 00:57:37,880
Speaker 1: can pick one destination. We'll put Champagne wishes and Caviare

1073
00:57:38,000 --> 00:57:39,600
Speaker 1: dreams on the plane. I'll pay for the whole thing.

1074
00:57:39,680 --> 00:57:41,600
Speaker 1: But they've got to agree that they'll never come back,

1075
00:57:41,680 --> 00:57:43,080
Speaker 1: and if they do, they have to pay me triple.

1076
00:57:43,400 --> 00:57:45,840
Speaker 1: I think that's a fair deal idea, and I think

1077
00:57:45,880 --> 00:57:47,880
Speaker 1: we should send him to Cuba, because if that's what

1078
00:57:48,000 --> 00:57:49,960
Speaker 1: they believe in, that kind of government, that's where they

1079
00:57:50,000 --> 00:57:52,760
Speaker 1: should live. I appreciate you being with us. Thank you

1080
00:57:52,840 --> 00:57:56,840
Speaker 1: so much. Myra Carrey is in Phoenix, Arizona, five kf Y. I.

1081
00:57:57,000 --> 00:57:59,480
Speaker 1: How are you. I'm good? How are you? I'm good?

1082
00:57:59,520 --> 00:58:02,800
Speaker 1: What's happened? Well, I'm I'm a little frustrated on several

1083
00:58:02,880 --> 00:58:07,280
Speaker 1: different avenues. Um, I just did my insurance premiums and

1084
00:58:07,720 --> 00:58:10,960
Speaker 1: I'm paying as much for medical insurance as my house payment,

1085
00:58:11,280 --> 00:58:13,880
Speaker 1: my house payments even a month, and I just got

1086
00:58:13,920 --> 00:58:17,600
Speaker 1: my new premiums. It's a thousand dollars a month, a

1087
00:58:17,720 --> 00:58:20,360
Speaker 1: thousand frustrated. You should be for us. You know there

1088
00:58:20,360 --> 00:58:23,880
Speaker 1: are certain counties now in your state, Well, you have

1089
00:58:24,000 --> 00:58:27,360
Speaker 1: one option, only one. Oh, I know. I've explored every

1090
00:58:27,400 --> 00:58:30,080
Speaker 1: option possible, and I'm I'm frustrated to the point where

1091
00:58:30,080 --> 00:58:32,560
Speaker 1: I don't understand. I don't just want Trump to win.

1092
00:58:32,760 --> 00:58:34,919
Speaker 1: I need him to win. And I'm not the only

1093
00:58:35,000 --> 00:58:37,240
Speaker 1: person that's in this predicament. I know that I'm not.

1094
00:58:37,800 --> 00:58:41,320
Speaker 1: I'm so frustrated with with everything that's gone on, with

1095
00:58:41,440 --> 00:58:45,600
Speaker 1: the lies, with with the with the misgivings, with people

1096
00:58:45,720 --> 00:58:49,000
Speaker 1: saying things that that just are not true, and we

1097
00:58:49,440 --> 00:58:51,360
Speaker 1: this is a gift. He is a gift. And how

1098
00:58:51,440 --> 00:58:54,840
Speaker 1: people do not understand that that that he's come to

1099
00:58:55,080 --> 00:58:58,200
Speaker 1: us and we're able to do something better with our lives.

1100
00:58:58,560 --> 00:59:00,520
Speaker 1: I don't understand how people want to stay with the

1101
00:59:00,560 --> 00:59:03,000
Speaker 1: status quo. How do I tell my eight year old?

1102
00:59:03,280 --> 00:59:04,880
Speaker 1: How do I tell my eight year old little girl

1103
00:59:05,200 --> 00:59:08,200
Speaker 1: that it's okay to lie, that this is what you do.

1104
00:59:08,360 --> 00:59:11,439
Speaker 1: You can lie, you can do whatever whatever it takes

1105
00:59:11,480 --> 00:59:14,040
Speaker 1: to get what you want. This is what I tell her,

1106
00:59:14,080 --> 00:59:16,680
Speaker 1: so you can line you can become president. How do

1107
00:59:16,800 --> 00:59:19,240
Speaker 1: I tell her that? What do I tell her? It does?

1108
00:59:20,600 --> 00:59:22,920
Speaker 1: With all the never trumpers, It does make you wonder,

1109
00:59:23,040 --> 00:59:25,400
Speaker 1: doesn't it it makes you, you know, scratch your head

1110
00:59:25,480 --> 00:59:30,040
Speaker 1: and ponder. There's been more vitriol, more anger that has

1111
00:59:30,080 --> 00:59:35,360
Speaker 1: been pointed in Donald Trump's direction by Republican congressman, Republican senators,

1112
00:59:35,640 --> 00:59:40,520
Speaker 1: by so called conservative commentators, conservative publications, conservative radio hosts.

1113
00:59:40,760 --> 00:59:43,640
Speaker 1: They fire so much at Trump that you know what,

1114
00:59:44,440 --> 00:59:47,360
Speaker 1: you know, she's gonna be wrong acent of the time.

1115
00:59:47,920 --> 00:59:51,760
Speaker 1: Let's say Trump gets right, I'll take the fifty, especially

1116
00:59:51,800 --> 00:59:54,400
Speaker 1: in light of the damage that Obama's done. And to me,

1117
00:59:54,560 --> 00:59:57,360
Speaker 1: it's illogical. To me, it is a there's a certain

1118
00:59:57,440 --> 01:00:02,320
Speaker 1: level of arrogant stubbornness yere that I it is inexplicable

1119
01:00:02,400 --> 01:00:05,080
Speaker 1: to me because it's such a simple decision. Eight hundred

1120
01:00:05,160 --> 01:00:07,200
Speaker 1: nine for one, Shawn, toll free telephone number. You want

1121
01:00:07,200 --> 01:00:08,520
Speaker 1: to be a part of the program, all right, glad

1122
01:00:08,600 --> 01:00:10,680
Speaker 1: you with us final hour free for all news, round

1123
01:00:10,760 --> 01:00:13,640
Speaker 1: up information Overload. Will take calls this hour for the

1124
01:00:13,800 --> 01:00:16,360
Speaker 1: entire hour, eight nine one, Shawn, if you want to

1125
01:00:16,520 --> 01:00:19,200
Speaker 1: be a part of the program. Alright. Center for Immigration

1126
01:00:19,320 --> 01:00:23,840
Speaker 1: Studies actually has out ten real good immigration questions for Hillary.

1127
01:00:24,360 --> 01:00:27,160
Speaker 1: And I know what, it's been two hundred and eighty days,

1128
01:00:27,360 --> 01:00:31,000
Speaker 1: seventies some mondays, sixty some mondays Hillary doesn't have press conferences.

1129
01:00:31,360 --> 01:00:34,320
Speaker 1: Donald Trump has had seventeen of them. She's not had

1130
01:00:34,400 --> 01:00:39,040
Speaker 1: one in not a single one. Now. She used to

1131
01:00:39,160 --> 01:00:43,240
Speaker 1: support the construction of a seven hundred mile double border

1132
01:00:43,320 --> 01:00:46,320
Speaker 1: fence that was required in the Secure Fence Act of

1133
01:00:46,400 --> 01:00:48,720
Speaker 1: two thousand and six. What type of border security would

1134
01:00:48,760 --> 01:00:52,400
Speaker 1: she support now? Because now she's talking about building bridges,

1135
01:00:52,920 --> 01:00:55,240
Speaker 1: not building walls. So I think they raise a good

1136
01:00:55,320 --> 01:01:00,360
Speaker 1: question here. Does Hillary support increasing immigration decreasing immigration? Does

1137
01:01:00,400 --> 01:01:03,000
Speaker 1: she think the current level of of approximately one million

1138
01:01:03,080 --> 01:01:06,000
Speaker 1: permanent residents a year is about right? What about the

1139
01:01:07,200 --> 01:01:09,600
Speaker 1: increase she wants in Syrian refugees? In spite of what

1140
01:01:09,680 --> 01:01:13,160
Speaker 1: our National Intelligence director and FBI director, CIA director, House

1141
01:01:13,200 --> 01:01:17,320
Speaker 1: Homeland Security chairman, and former special envoy to defeat Isis

1142
01:01:17,400 --> 01:01:19,720
Speaker 1: have all warned about, what does she want there? So?

1143
01:01:20,160 --> 01:01:23,160
Speaker 1: Does she believe there's a limit to what a president

1144
01:01:23,280 --> 01:01:27,080
Speaker 1: can do unilaterally on immigration? Where does she draw the line?

1145
01:01:27,240 --> 01:01:30,120
Speaker 1: Because President Obama had said he didn't have the authority

1146
01:01:30,240 --> 01:01:33,880
Speaker 1: to act the way he did, which was lawless and unconstitutional,

1147
01:01:34,120 --> 01:01:36,439
Speaker 1: Now she says she would even go further, She would

1148
01:01:36,480 --> 01:01:39,200
Speaker 1: want to do more than Obama did if elected president.

1149
01:01:39,440 --> 01:01:44,320
Speaker 1: Clearly she thinks pandering again to special interest voting is

1150
01:01:44,360 --> 01:01:47,840
Speaker 1: the way for her to become president in the United States.

1151
01:01:48,000 --> 01:01:51,160
Speaker 1: I mean, we have this identity, you know, gender identity,

1152
01:01:51,360 --> 01:01:54,360
Speaker 1: identity voting politics all the time. So does she think

1153
01:01:54,400 --> 01:01:57,320
Speaker 1: she can act unilaterally? Does she believe Sanctuary City should

1154
01:01:57,360 --> 01:02:00,560
Speaker 1: continue to release, it be illegal immigrants, even those that

1155
01:02:00,640 --> 01:02:03,880
Speaker 1: have felony records, rather than handing them over to federal authorities.

1156
01:02:04,360 --> 01:02:06,200
Speaker 1: I mean, it's insane. How would you feel if you

1157
01:02:06,280 --> 01:02:08,240
Speaker 1: were one of the parents that I interviewed with Donald

1158
01:02:08,280 --> 01:02:10,960
Speaker 1: Trump when I was in Austin, Texas and that or

1159
01:02:11,040 --> 01:02:13,760
Speaker 1: the father from Michigan that I interviewed in his case,

1160
01:02:14,120 --> 01:02:16,400
Speaker 1: the illegal immigrant that killed his son in a in

1161
01:02:16,440 --> 01:02:19,360
Speaker 1: a quick Mark place at four in the morning, kids

1162
01:02:19,400 --> 01:02:22,560
Speaker 1: twenty one years old. That guy was responsible for kidnapping

1163
01:02:22,640 --> 01:02:26,520
Speaker 1: and raping a young woman. Rondebeck is his name, Rona Becky.

1164
01:02:26,560 --> 01:02:28,400
Speaker 1: What do you do in that case? I mean, did

1165
01:02:29,040 --> 01:02:31,880
Speaker 1: do you blame the government for failing him and his

1166
01:02:32,040 --> 01:02:34,880
Speaker 1: family and his son? I do, because had they deported

1167
01:02:34,920 --> 01:02:37,480
Speaker 1: them and followed the laws that's even currently written, he

1168
01:02:37,600 --> 01:02:39,760
Speaker 1: never would have been released. He would have been sent

1169
01:02:39,880 --> 01:02:43,680
Speaker 1: back to the country of his origin upon release from prison.

1170
01:02:43,880 --> 01:02:46,320
Speaker 1: You know that does Hillary believe the State Department might

1171
01:02:47,120 --> 01:02:50,960
Speaker 1: be responsible for denying visas to foreigners who come from

1172
01:02:51,040 --> 01:02:54,480
Speaker 1: countries where they think it's acceptable to punish gay and

1173
01:02:54,560 --> 01:02:58,160
Speaker 1: lesbians by death? She takes money from those countries. What

1174
01:02:58,280 --> 01:03:02,000
Speaker 1: about foreigners who believe in that apostates, those that have

1175
01:03:02,160 --> 01:03:04,640
Speaker 1: a change of heart and want to become Christian or

1176
01:03:04,720 --> 01:03:08,280
Speaker 1: want to become Jewish? Should they be executed? Executed? She's

1177
01:03:08,280 --> 01:03:11,680
Speaker 1: taken money from them. What about foreigners who support the

1178
01:03:11,720 --> 01:03:15,360
Speaker 1: practice of female genital mutilation? Well, this is what Trump

1179
01:03:15,520 --> 01:03:18,920
Speaker 1: is talking about with extreme vetting. Why does Hillary think

1180
01:03:19,000 --> 01:03:23,440
Speaker 1: that those that overstay their visa should similarly be entitled

1181
01:03:23,440 --> 01:03:27,360
Speaker 1: the citizenship? You know, does an amnesty undermine the efforts

1182
01:03:27,440 --> 01:03:31,200
Speaker 1: of visa adjudicators in the State Department? Does she cared

1183
01:03:31,360 --> 01:03:34,040
Speaker 1: all about the laws as they are currently written? Are

1184
01:03:34,080 --> 01:03:37,000
Speaker 1: we are we going to be a totally lawless society?

1185
01:03:37,840 --> 01:03:40,320
Speaker 1: And when Clinton said in two thousand and six that

1186
01:03:40,440 --> 01:03:44,240
Speaker 1: we need to have tougher employer sanctions to prevent employers

1187
01:03:44,320 --> 01:03:47,960
Speaker 1: from hiring illegal aliens, well what type of sanctions did

1188
01:03:48,040 --> 01:03:51,840
Speaker 1: she support? Then? Would she support e verify? I mean,

1189
01:03:51,960 --> 01:03:54,919
Speaker 1: she has flipped and flopped and flailed on the issue

1190
01:03:54,960 --> 01:04:00,840
Speaker 1: of immigration. Like right here, listen Clinton. Governor of New York,

1191
01:04:00,920 --> 01:04:05,760
Speaker 1: Elliot Spitzer, has proposed giving driver's licenses to illegal immigrants.

1192
01:04:06,160 --> 01:04:09,200
Speaker 1: You told the Nationale New Hampshire editorial board, it makes

1193
01:04:09,280 --> 01:04:11,120
Speaker 1: a lot of sense. Why does it make a lot

1194
01:04:11,160 --> 01:04:14,400
Speaker 1: of sense to give an illegal immigrant a driver's license. Well,

1195
01:04:14,480 --> 01:04:17,800
Speaker 1: what Governor Spitzer is trying to do is fill the

1196
01:04:17,960 --> 01:04:22,000
Speaker 1: vacuum left by the failure of this administration to bring

1197
01:04:22,040 --> 01:04:26,040
Speaker 1: about comprehensive immigration reform. Uh. We know in New York

1198
01:04:26,200 --> 01:04:30,640
Speaker 1: we have several million at any one time who are

1199
01:04:30,760 --> 01:04:34,160
Speaker 1: in New York illegally. They are undocumented workers. They are

1200
01:04:34,280 --> 01:04:37,880
Speaker 1: driving on our roads. The possibility of them having an

1201
01:04:37,920 --> 01:04:41,760
Speaker 1: accident that harms themselves or others is just a matter

1202
01:04:41,840 --> 01:04:45,360
Speaker 1: of the odds. It's probability. So what Governor Spitzer is

1203
01:04:45,360 --> 01:04:47,680
Speaker 1: trying to do is to fill the vacuum. I believe

1204
01:04:47,760 --> 01:04:50,400
Speaker 1: we need to get back to comprehensive immigration reform because

1205
01:04:50,480 --> 01:04:54,720
Speaker 1: no state, no matter how well intentioned, can fill this gap.

1206
01:04:54,840 --> 01:04:57,680
Speaker 1: There needs to be federal action on immigration reform. But

1207
01:04:57,800 --> 01:04:59,800
Speaker 1: this is a privilege. Talk about healthcare, I have a

1208
01:05:00,000 --> 01:05:02,200
Speaker 1: an opinion that affects the public health of all of this,

1209
01:05:02,600 --> 01:05:04,360
Speaker 1: but a license is a privilege and that ought not

1210
01:05:04,440 --> 01:05:07,360
Speaker 1: to be extended in my view. I just want to

1211
01:05:07,400 --> 01:05:09,680
Speaker 1: add I did not say that it should be done,

1212
01:05:09,720 --> 01:05:12,440
Speaker 1: but I certainly recognize why Governor Spitzer is trying to

1213
01:05:12,560 --> 01:05:15,720
Speaker 1: do it, and we have failed. We have failed. No, no, no,

1214
01:05:15,880 --> 01:05:17,760
Speaker 1: you said you said yes, no you thought it made

1215
01:05:17,800 --> 01:05:19,920
Speaker 1: sense to do it. No, I didn't, Chris. But the

1216
01:05:20,000 --> 01:05:22,520
Speaker 1: point is, what are we going to do with all

1217
01:05:22,560 --> 01:05:25,720
Speaker 1: these illegal immigrants? Who's That's a legitimate issue. But driver's

1218
01:05:25,760 --> 01:05:27,840
Speaker 1: license goes too far. Senator Clinton, I just want to

1219
01:05:27,840 --> 01:05:31,160
Speaker 1: make sure what I heard. Do you, the New York

1220
01:05:31,240 --> 01:05:35,040
Speaker 1: Senator Hillary Clinton, support the New York governor's plan to

1221
01:05:35,200 --> 01:05:38,600
Speaker 1: give illegal immigrants a driver's license? You told the National

1222
01:05:38,880 --> 01:05:41,080
Speaker 1: Amsture paper and made a lot of sense. Do you

1223
01:05:41,120 --> 01:05:44,600
Speaker 1: support his plan? You know, Tim, this is where everybody

1224
01:05:44,680 --> 01:05:47,000
Speaker 1: plays got you. It makes a lot of sense. What

1225
01:05:47,200 --> 01:05:49,600
Speaker 1: is the governor supposed to do? He is dealing with

1226
01:05:49,680 --> 01:05:53,160
Speaker 1: a serious problem. We have failed, and George Bush has failed.

1227
01:05:53,400 --> 01:05:55,080
Speaker 1: Do I think this is the best thing for any

1228
01:05:55,160 --> 01:05:58,360
Speaker 1: governor to do? No? But do I understand the sense

1229
01:05:58,480 --> 01:06:01,440
Speaker 1: of real desperate ration trying to get a handle on this.

1230
01:06:01,560 --> 01:06:03,560
Speaker 1: Remember in New York, we want to know who's in

1231
01:06:03,600 --> 01:06:05,520
Speaker 1: New York. We want people to come out of the shadows.

1232
01:06:05,760 --> 01:06:08,120
Speaker 1: He's making an honest effort to do it. We should

1233
01:06:08,160 --> 01:06:11,160
Speaker 1: have passed immigration reform. We've got to do several things.

1234
01:06:11,200 --> 01:06:14,480
Speaker 1: And I am, you know, adamantly against illegal immigrants. I

1235
01:06:14,600 --> 01:06:17,880
Speaker 1: made this exception basically on humanitarian grounds because of the

1236
01:06:17,960 --> 01:06:21,200
Speaker 1: individual stories. But certainly we've got to do more at

1237
01:06:21,200 --> 01:06:24,960
Speaker 1: our borders, and people have to stop employing illegal immigrants.

1238
01:06:25,320 --> 01:06:29,040
Speaker 1: Come up to Westchester, go to Suffolk and Nasau County.

1239
01:06:29,200 --> 01:06:31,880
Speaker 1: Stand in the street corners in Brooklyn or the Bronx,

1240
01:06:32,080 --> 01:06:34,600
Speaker 1: You're gonna see loads of people waiting to get picked

1241
01:06:34,680 --> 01:06:38,040
Speaker 1: up to go do yard work and construction work and

1242
01:06:38,160 --> 01:06:41,560
Speaker 1: domestic work. You know, Iddy, this is not a problem

1243
01:06:41,680 --> 01:06:44,040
Speaker 1: that the people who were coming into the country are

1244
01:06:44,120 --> 01:06:47,120
Speaker 1: solely responsible for this coming if we didn't put them

1245
01:06:47,120 --> 01:06:49,160
Speaker 1: to work. All right. That was a debate with Tim

1246
01:06:49,280 --> 01:06:52,280
Speaker 1: Rusher and Brian Williams moderating. That was what year back

1247
01:06:52,320 --> 01:06:55,000
Speaker 1: in two thousand and eight, two thousand and seven, actually

1248
01:06:55,000 --> 01:06:58,200
Speaker 1: all right, and then John Gambling, our friend, was interviewing

1249
01:06:58,280 --> 01:07:00,920
Speaker 1: Hillary Clinton. So she's flipped and lopped and flailed all

1250
01:07:01,000 --> 01:07:02,720
Speaker 1: over this issue. And then of course you had the

1251
01:07:02,800 --> 01:07:05,840
Speaker 1: refugee issue. And why is she ignored federal law and

1252
01:07:05,920 --> 01:07:08,400
Speaker 1: allowed tens of thousands of criminal aliens to be released

1253
01:07:08,440 --> 01:07:11,360
Speaker 1: into your neighborhood. By the way, in twenty thirteen Immigration

1254
01:07:11,480 --> 01:07:15,160
Speaker 1: Custom Enforcement ICE, they released again only in one year

1255
01:07:15,280 --> 01:07:20,560
Speaker 1: loan thirty six thousand and seven convicted criminal aliens that

1256
01:07:20,680 --> 01:07:24,200
Speaker 1: had records including a hundred and ninety three homicide convictions,

1257
01:07:24,680 --> 01:07:28,200
Speaker 1: four hundred and twenty six sexual assault convictions, three three

1258
01:07:28,280 --> 01:07:33,120
Speaker 1: kidnapping convictions, one thousand, seventy five aggravated assault convictions, and

1259
01:07:33,200 --> 01:07:37,360
Speaker 1: many other crimes nearly eighty eight thousand crimes in total. Well, anyway,

1260
01:07:37,440 --> 01:07:41,080
Speaker 1: it's it's believed the practice of releasing these criminal aliens

1261
01:07:41,320 --> 01:07:44,640
Speaker 1: from countries that refused to take back their nationals existed

1262
01:07:44,720 --> 01:07:48,160
Speaker 1: under Clinton's entire term as Secretary of State. Why does

1263
01:07:48,200 --> 01:07:51,680
Speaker 1: she not support enforcing the federal law that requires her

1264
01:07:51,760 --> 01:07:55,760
Speaker 1: state department to stop issuing visas to people in that

1265
01:07:56,000 --> 01:07:59,920
Speaker 1: country until that country cooperates. Another question is and lie

1266
01:08:00,000 --> 01:08:02,760
Speaker 1: of the controversy surrounding the H one B visa program.

1267
01:08:03,200 --> 01:08:06,680
Speaker 1: Is Hillary gonna end the program or dramatically increase the

1268
01:08:06,760 --> 01:08:09,640
Speaker 1: number of H one B visas issued every year, because

1269
01:08:09,680 --> 01:08:11,320
Speaker 1: you know what, we have a lot of Americans out

1270
01:08:11,360 --> 01:08:14,280
Speaker 1: of work. New York Times reported that Disney employees were

1271
01:08:14,320 --> 01:08:17,640
Speaker 1: forced to train their replacements and brought in by an

1272
01:08:17,680 --> 01:08:21,000
Speaker 1: outsourcing firm based in India through the H one B

1273
01:08:21,200 --> 01:08:24,600
Speaker 1: visa program. And by the way, similar replacements reported at

1274
01:08:24,640 --> 01:08:28,559
Speaker 1: Toys r US, Southern cal Edison, Viser, and other companies.

1275
01:08:28,760 --> 01:08:31,639
Speaker 1: Pretty unbelievable. All right, let's get to our busy telephones here.

1276
01:08:31,720 --> 01:08:34,479
Speaker 1: Donna is in Staten Island, New York. Donna, Hi, how

1277
01:08:34,560 --> 01:08:41,200
Speaker 1: are you? We're glad you called it? Love? What good? Yeah? Hi, Donna,

1278
01:08:41,240 --> 01:08:44,479
Speaker 1: you're on the air. What's going on? I'm um, Hi,

1279
01:08:44,640 --> 01:08:47,160
Speaker 1: I'm just going to see what is up with gwinn

1280
01:08:47,280 --> 01:08:52,880
Speaker 1: back what you know? Look, I um, we got along fine.

1281
01:08:53,000 --> 01:08:55,000
Speaker 1: I'm not going to spend a lot of time addressing

1282
01:08:55,479 --> 01:08:58,280
Speaker 1: you know, we've got here sixty eight days until election day.

1283
01:08:58,479 --> 01:09:02,320
Speaker 1: I am not I am just saying the cumulatively speaking.

1284
01:09:02,720 --> 01:09:05,960
Speaker 1: When you listen to all of these anti Trump people

1285
01:09:06,080 --> 01:09:08,519
Speaker 1: that are out there, and there are a lot of

1286
01:09:08,600 --> 01:09:11,439
Speaker 1: them that the nr O people, Wall Street Journal, the

1287
01:09:11,560 --> 01:09:15,920
Speaker 1: Jonah Goldberg's, the Bill Crystals, the George Wills, the Mit Romney's,

1288
01:09:16,160 --> 01:09:19,360
Speaker 1: They're almost almost the entire Romney team. To be honest,

1289
01:09:19,760 --> 01:09:22,680
Speaker 1: when you when you look at the other candidates that

1290
01:09:23,000 --> 01:09:25,400
Speaker 1: ran for president and made a promise and they have

1291
01:09:25,520 --> 01:09:27,840
Speaker 1: reneged on that promise. You know, then you can add

1292
01:09:27,840 --> 01:09:30,519
Speaker 1: in the Glenn Becks of the world, then the people

1293
01:09:30,560 --> 01:09:33,519
Speaker 1: that have been pushing for another candidate to replace Donald Trump,

1294
01:09:33,920 --> 01:09:36,040
Speaker 1: and then you have you know, all of these people,

1295
01:09:36,120 --> 01:09:39,120
Speaker 1: all these Nazi references. How do you people like Sean

1296
01:09:39,160 --> 01:09:42,040
Speaker 1: Hannity sleep at night? References? Then you've got members of

1297
01:09:42,120 --> 01:09:44,519
Speaker 1: Congress in the Senate and I'm not I'm not saying

1298
01:09:44,600 --> 01:09:49,480
Speaker 1: any one of these people hurts Trump, but cumulatively speaking, combined,

1299
01:09:49,640 --> 01:09:53,800
Speaker 1: they are sabotaging his campaign. And a lot of this,

1300
01:09:54,160 --> 01:09:58,680
Speaker 1: I believe is rooted in their desire to tell you

1301
01:09:59,040 --> 01:10:01,599
Speaker 1: the people of this country that you screwed up by

1302
01:10:01,680 --> 01:10:05,080
Speaker 1: not listening to them. Now, I took a very different approach.

1303
01:10:05,160 --> 01:10:08,360
Speaker 1: My approach was I give you access, I served my audience,

1304
01:10:08,479 --> 01:10:11,400
Speaker 1: let you decide. And every egg of Pole showed the

1305
01:10:11,439 --> 01:10:15,680
Speaker 1: same thing, Donna, that sixtent of Republicans felt betrayed by

1306
01:10:15,720 --> 01:10:19,920
Speaker 1: their own party. Republicans created Donald Trump, and now they

1307
01:10:20,000 --> 01:10:22,880
Speaker 1: are angry that you are mad at them and don't

1308
01:10:22,880 --> 01:10:25,599
Speaker 1: support them. That's what this is all rooted. And then

1309
01:10:25,600 --> 01:10:28,840
Speaker 1: you've got the sanctimony crowd, the self righteous crowd, the

1310
01:10:28,920 --> 01:10:31,960
Speaker 1: holier than thou crowd that think you know, that have

1311
01:10:32,120 --> 01:10:35,679
Speaker 1: forgotten that we've all sinned and fallen short, and lecturing

1312
01:10:35,800 --> 01:10:38,439
Speaker 1: us all the time about some type of ideological purity.

1313
01:10:38,760 --> 01:10:40,960
Speaker 1: And I'm just saying to all of them that, Okay,

1314
01:10:41,400 --> 01:10:43,720
Speaker 1: you've got Trump's nomination for the Supreme Court, and you've

1315
01:10:43,720 --> 01:10:48,040
Speaker 1: got Hillaries, and you, by undermining Trump, you own Hillaries

1316
01:10:48,200 --> 01:10:52,200
Speaker 1: Supreme Court nominees. You own her keeping Obamacare, you own

1317
01:10:52,320 --> 01:10:56,280
Speaker 1: her tax increases and spending increases. You own the refugees

1318
01:10:56,320 --> 01:10:58,839
Speaker 1: and what they do when they come into this country unvetted.

1319
01:10:59,240 --> 01:11:03,080
Speaker 1: You own the immigration issue and what the illegal immigrants

1320
01:11:03,120 --> 01:11:05,360
Speaker 1: do because you're not part of the solution to build

1321
01:11:05,360 --> 01:11:07,920
Speaker 1: a wall. And they don't like that. I'm calling them

1322
01:11:07,920 --> 01:11:11,120
Speaker 1: out and I'm too, and they're saying, you're responsible, you're

1323
01:11:11,320 --> 01:11:13,880
Speaker 1: expecting a Trump loss. Now I'm spending the next sixty

1324
01:11:13,960 --> 01:11:17,200
Speaker 1: eight days doing everything in my power to help Donald

1325
01:11:17,200 --> 01:11:20,160
Speaker 1: Trump win because I believe, by far, he is the

1326
01:11:20,200 --> 01:11:23,160
Speaker 1: better candidate. It's also what I promised my audience, and

1327
01:11:23,200 --> 01:11:25,800
Speaker 1: I actually believe, unlike some other politicians, I believe when

1328
01:11:25,800 --> 01:11:28,000
Speaker 1: I give my word, I keep it. And number three,

1329
01:11:28,720 --> 01:11:31,880
Speaker 1: she would be a disaster. She is the single biggest liar,

1330
01:11:32,439 --> 01:11:36,760
Speaker 1: most dishonest, most untrustworthy, a person that has has had

1331
01:11:36,920 --> 01:11:40,759
Speaker 1: more personal gain from public office, that has sold access

1332
01:11:40,840 --> 01:11:43,240
Speaker 1: to her office than any other person I can think

1333
01:11:43,280 --> 01:11:45,840
Speaker 1: of that has run for the presidency. And while they

1334
01:11:45,920 --> 01:11:48,599
Speaker 1: might not like stylistically some of the things about Trump

1335
01:11:48,800 --> 01:11:52,040
Speaker 1: or you know, I know a hundred percent of what

1336
01:11:52,240 --> 01:11:53,920
Speaker 1: she's going to do is going to be bad for

1337
01:11:54,000 --> 01:11:57,640
Speaker 1: this country and we will suffer. If Donald Trump just

1338
01:11:58,080 --> 01:12:01,320
Speaker 1: appoints the people he said to this Preme Court, we're

1339
01:12:01,360 --> 01:12:05,160
Speaker 1: a better country. If Donald Trump makes us energy independent,

1340
01:12:05,520 --> 01:12:09,160
Speaker 1: we are a better country. If Donald Trump vets the refugees,

1341
01:12:09,320 --> 01:12:12,760
Speaker 1: we are a better safer country. If he builds the wall,

1342
01:12:12,920 --> 01:12:17,040
Speaker 1: we're a better safer country. If he allows the repatriation

1343
01:12:17,160 --> 01:12:21,519
Speaker 1: for multinational corporations to bring those trillions back so they

1344
01:12:21,560 --> 01:12:25,240
Speaker 1: can invest in manufacturing centers and factories, we are going

1345
01:12:25,360 --> 01:12:28,120
Speaker 1: to be better off as a country. And I say

1346
01:12:28,200 --> 01:12:31,519
Speaker 1: this with every bit of confidence that I have. He

1347
01:12:31,760 --> 01:12:35,280
Speaker 1: is infinitely better than her, And you know it is

1348
01:12:35,400 --> 01:12:39,240
Speaker 1: beyond me. How how so many that say that they

1349
01:12:39,280 --> 01:12:42,559
Speaker 1: are so smart can be so ignorant and so locked

1350
01:12:42,640 --> 01:12:47,400
Speaker 1: into a position that assists and helps her become the

1351
01:12:47,960 --> 01:12:50,559
Speaker 1: president of the United States. Now, I think Trump can

1352
01:12:50,600 --> 01:12:53,640
Speaker 1: win this. I think any Republican I don't care if

1353
01:12:53,640 --> 01:12:56,639
Speaker 1: it's Ted Cruise, John k Sick, Margot Rubio, Scott Walker,

1354
01:12:56,760 --> 01:12:59,360
Speaker 1: you pick your person. I think for any Republican to

1355
01:12:59,400 --> 01:13:01,400
Speaker 1: win the press it and see, they've got to run

1356
01:13:01,479 --> 01:13:04,040
Speaker 1: the table. They've got to win Florida. They've got to

1357
01:13:04,080 --> 01:13:06,840
Speaker 1: win North Carolina, they've got to win Ohio. They've got

1358
01:13:06,960 --> 01:13:11,080
Speaker 1: to pick off a state like either Michigan, Wisconsin, Pennsylvania.

1359
01:13:11,160 --> 01:13:14,000
Speaker 1: Then you gotta get play hard in New Hampshire and Iowa,

1360
01:13:14,160 --> 01:13:17,240
Speaker 1: New Mexico and Nevada and Colorado. This is not an

1361
01:13:17,280 --> 01:13:20,240
Speaker 1: easy task for anybody, and I'm frankly convinced that I

1362
01:13:20,280 --> 01:13:23,080
Speaker 1: don't think any of these candidates when I look at

1363
01:13:23,120 --> 01:13:25,479
Speaker 1: the sevent team, would be having any easier time than

1364
01:13:25,560 --> 01:13:28,320
Speaker 1: Donald Trump. As Donald Trump made some mistakes, does he

1365
01:13:28,439 --> 01:13:32,519
Speaker 1: own them absolutely positively? As he make made adjustments in

1366
01:13:32,560 --> 01:13:35,720
Speaker 1: the last few weeks, I think absolutely positively, And I

1367
01:13:35,840 --> 01:13:38,640
Speaker 1: think hopefully learned from those mistakes. Hopefully he'll prepare for

1368
01:13:38,720 --> 01:13:41,040
Speaker 1: the debates, and if he does, I think he puts

1369
01:13:41,120 --> 01:13:44,520
Speaker 1: himself in a position where he could actually win the presidency.

1370
01:13:44,640 --> 01:13:46,360
Speaker 1: And then if he does the things that I have

1371
01:13:46,479 --> 01:13:49,439
Speaker 1: pointed out, the four or five, six, ten things, I

1372
01:13:49,560 --> 01:13:52,719
Speaker 1: am very convinced that America is going to be better

1373
01:13:52,880 --> 01:13:55,320
Speaker 1: off than the condition in which he found it. And

1374
01:13:55,400 --> 01:13:57,439
Speaker 1: so that's why I'm supporting him, and I'm pulling the

1375
01:13:57,560 --> 01:14:00,400
Speaker 1: lever proudly. And if these people want to blame me

1376
01:14:00,720 --> 01:14:03,519
Speaker 1: for Trump, Okay, if Trump wins, hold me accountable. If

1377
01:14:03,600 --> 01:14:06,560
Speaker 1: he appoints liberal Supreme Court justices, you can blame me

1378
01:14:06,760 --> 01:14:09,200
Speaker 1: for believing you. If he doesn't make us energy independent,

1379
01:14:09,280 --> 01:14:11,200
Speaker 1: blame me. If he doesn't do the things he'd do

1380
01:14:11,280 --> 01:14:14,000
Speaker 1: on the economy and Obamacare on the wall, blame me.

1381
01:14:14,360 --> 01:14:17,720
Speaker 1: But I'm blaming all of you that have sabotaged him.

1382
01:14:17,960 --> 01:14:20,120
Speaker 1: If she wins, all right, I gotta run. Thank you,

1383
01:14:21,160 --> 01:14:23,559
Speaker 1: all right, donnad We love you, Thank you. Eight Shaun

1384
01:14:23,720 --> 01:14:27,519
Speaker 1: is a number. What about sanctuary cities? Look, I I

1385
01:14:27,800 --> 01:14:29,680
Speaker 1: I was a mayor, and I was a governor. I

1386
01:14:29,880 --> 01:14:33,240
Speaker 1: trust the voters of communities to hold their mayors and

1387
01:14:33,360 --> 01:14:37,320
Speaker 1: their police departments responsible. When Donald Trump kind of goes

1388
01:14:37,439 --> 01:14:40,880
Speaker 1: after these phantom sanctuary cities and talks about how bad

1389
01:14:40,960 --> 01:14:43,599
Speaker 1: they are. Basically, what he's going after his police chiefs.

1390
01:14:43,920 --> 01:14:46,640
Speaker 1: And I trust police chiefs in terms of knowing what

1391
01:14:46,800 --> 01:14:49,839
Speaker 1: should be done to keep their community safer, and police

1392
01:14:49,880 --> 01:14:52,479
Speaker 1: departments and mayors a lot more than I trust Donald Trump.

1393
01:14:52,640 --> 01:14:55,240
Speaker 1: All Right, there you have Tim Caine himself talking about

1394
01:14:55,439 --> 01:14:58,719
Speaker 1: sanctuary cities. Do you see that this is a choice election.

1395
01:14:59,040 --> 01:15:02,200
Speaker 1: Let's get to our busy, busy telephones as we uh

1396
01:15:02,520 --> 01:15:05,840
Speaker 1: go to Jackie's in Melbourne, Florida. Jack how are you

1397
01:15:06,000 --> 01:15:09,880
Speaker 1: glad you cult? Sir? Hey? Thank you Sean Hey. I

1398
01:15:10,000 --> 01:15:13,160
Speaker 1: love your program, love it man, I've been listening for years,

1399
01:15:13,280 --> 01:15:15,439
Speaker 1: and thank you, sir. I want to say first of

1400
01:15:15,479 --> 01:15:18,720
Speaker 1: all that I think the founding fathers would be very

1401
01:15:18,760 --> 01:15:21,720
Speaker 1: proud of you, Sean. I want to know that well.

1402
01:15:21,880 --> 01:15:24,160
Speaker 1: I I let me tell you, I'd never put myself

1403
01:15:24,200 --> 01:15:27,640
Speaker 1: in their class. I read them, and I read them

1404
01:15:27,720 --> 01:15:32,800
Speaker 1: with amazement. How stunningly brilliant they were. What incredible, just

1405
01:15:33,000 --> 01:15:36,559
Speaker 1: great minds that we're able to put this incredible republic

1406
01:15:36,680 --> 01:15:43,920
Speaker 1: together and it creates so much wealth, prosperity, happiness, freedom, liberty, opportunity.

1407
01:15:44,280 --> 01:15:47,200
Speaker 1: Imperfect as it was from the beginning, but also putting

1408
01:15:47,240 --> 01:15:50,520
Speaker 1: in place the the ability to correct wrongs and injustices,

1409
01:15:50,680 --> 01:15:54,320
Speaker 1: knowing that the better half of mankind would hopefully emerge,

1410
01:15:54,360 --> 01:15:58,760
Speaker 1: and in many instances it had. Yeah, but what I

1411
01:15:58,880 --> 01:16:01,320
Speaker 1: called for a shan was to let you know that well,

1412
01:16:01,439 --> 01:16:07,080
Speaker 1: you know, I was a Ted true supporter. I can't

1413
01:16:07,120 --> 01:16:09,200
Speaker 1: tell you how many times I prayed that got to

1414
01:16:09,280 --> 01:16:13,719
Speaker 1: put him in office, many many times. If it wasn't Hammed,

1415
01:16:13,800 --> 01:16:16,280
Speaker 1: I was gonna go with Ben Carson. Well, neither one

1416
01:16:16,280 --> 01:16:18,960
Speaker 1: of those are part of the program. Now it's Ted Trunk.

1417
01:16:19,040 --> 01:16:23,639
Speaker 1: I mean, it's it's Donald's Trump. And uh, I'm excited

1418
01:16:23,680 --> 01:16:27,080
Speaker 1: about Donald Trump man, no question about that. And uh,

1419
01:16:27,240 --> 01:16:31,000
Speaker 1: I think that the people that are the never Trumpers,

1420
01:16:32,040 --> 01:16:35,920
Speaker 1: I think that they are you know, they're conservatives, They're

1421
01:16:35,960 --> 01:16:39,519
Speaker 1: like Tea party types. And I think that in their

1422
01:16:39,640 --> 01:16:45,320
Speaker 1: minds they're doing their patriotic duty, that they're that they're

1423
01:16:45,439 --> 01:16:48,000
Speaker 1: doing the country a favor. And I just want to

1424
01:16:48,040 --> 01:16:53,880
Speaker 1: say that the founding fathers today would not call them patriotic,

1425
01:16:54,120 --> 01:16:57,560
Speaker 1: but they would say that they're being unpatriotic by not

1426
01:16:57,760 --> 01:17:00,640
Speaker 1: voting for their guy. And the reason say that is

1427
01:17:01,200 --> 01:17:04,920
Speaker 1: having issues with your candidate is nothing new. Back in

1428
01:17:05,040 --> 01:17:08,400
Speaker 1: those days, they had just as many issues, they had

1429
01:17:08,520 --> 01:17:13,400
Speaker 1: people who hated their candidate, et cetera. Yet nine percent

1430
01:17:13,960 --> 01:17:17,880
Speaker 1: of the country voted back then. And and and you

1431
01:17:18,000 --> 01:17:21,080
Speaker 1: better not get between them and the polling the polling place,

1432
01:17:21,200 --> 01:17:25,599
Speaker 1: you know. And uh, I guess that's my appointment. And also,

1433
01:17:26,120 --> 01:17:29,160
Speaker 1: if Hillary gets elected, if they don't vote for Trump,

1434
01:17:29,720 --> 01:17:32,799
Speaker 1: they are going to help Hillary get elected. If Hillary

1435
01:17:32,920 --> 01:17:36,920
Speaker 1: gets elected, they have signed away their right to ever

1436
01:17:37,320 --> 01:17:40,920
Speaker 1: complain about anything that Hillary does. I say it a

1437
01:17:40,960 --> 01:17:43,280
Speaker 1: little differently than you, and I swore I was going

1438
01:17:43,320 --> 01:17:45,519
Speaker 1: to get off this from yesterday, but I'll just reiterate

1439
01:17:45,560 --> 01:17:49,240
Speaker 1: a point, and that is that those that are doing

1440
01:17:49,320 --> 01:17:53,000
Speaker 1: their daily thing, and that is the constant negative barrage

1441
01:17:53,080 --> 01:17:55,800
Speaker 1: about Trump and the Nazi comparisons and on and on

1442
01:17:55,960 --> 01:18:00,680
Speaker 1: and on, they have done. It's cumulative, damnit. Then there

1443
01:18:00,680 --> 01:18:02,240
Speaker 1: are some people that said they're not going to support

1444
01:18:02,280 --> 01:18:06,160
Speaker 1: Trump and Principal Center, but I'm talking about an organized

1445
01:18:07,040 --> 01:18:13,760
Speaker 1: orchestrated sabotage effort to ensure that Hillary wins. In particular,

1446
01:18:13,800 --> 01:18:17,120
Speaker 1: I'll name names. I'm particularly disappointed by the Republican candidates

1447
01:18:17,160 --> 01:18:20,439
Speaker 1: that gave their pled pledge I like you, have always

1448
01:18:20,479 --> 01:18:24,240
Speaker 1: liked Ted Cruz. Um. I thought that he really had

1449
01:18:24,280 --> 01:18:27,400
Speaker 1: a shot at the presidency as you did. Um. I

1450
01:18:27,720 --> 01:18:30,800
Speaker 1: saw mistakes that I felt he was making towards the

1451
01:18:30,920 --> 01:18:32,920
Speaker 1: end of the campaign. But nobody really wants to hear

1452
01:18:32,960 --> 01:18:34,960
Speaker 1: from me. But you know, I offer advice when it's

1453
01:18:35,000 --> 01:18:39,080
Speaker 1: when it's asked for. Um. He would have a bright future,

1454
01:18:39,160 --> 01:18:41,040
Speaker 1: But one of the questions he'll have a hard time

1455
01:18:41,120 --> 01:18:43,680
Speaker 1: asking in the answering in the future is will you

1456
01:18:43,720 --> 01:18:45,200
Speaker 1: gave your word? And he's gonna say, well, I'm not

1457
01:18:45,200 --> 01:18:47,519
Speaker 1: going to support somebody who attack my wife. But you

1458
01:18:47,600 --> 01:18:49,519
Speaker 1: know what, there was a lot of crappy and thrown

1459
01:18:49,560 --> 01:18:51,479
Speaker 1: back and forth between all these guys. If we're gonna

1460
01:18:51,479 --> 01:18:54,080
Speaker 1: be honest here, Um and I didn't like it either.

1461
01:18:54,160 --> 01:18:56,479
Speaker 1: The picture of the tweet by Donald Trump. He's even

1462
01:18:56,560 --> 01:18:59,720
Speaker 1: recently said he regretted it. But the point is you,

1463
01:19:00,000 --> 01:19:03,160
Speaker 1: I'll look to the substance here. The Supreme Court will

1464
01:19:03,200 --> 01:19:06,759
Speaker 1: impact this country four generations. On that one issue alone,

1465
01:19:07,400 --> 01:19:10,080
Speaker 1: you should vote for Donald Trump over Hillary. Then you

1466
01:19:10,160 --> 01:19:13,599
Speaker 1: can add very important issues for national security, like something

1467
01:19:13,680 --> 01:19:16,400
Speaker 1: as simple as not taking in refugees from countries that

1468
01:19:16,439 --> 01:19:18,920
Speaker 1: practice your real law and then the next thing is

1469
01:19:19,000 --> 01:19:21,799
Speaker 1: securing our border. We do it for national security reasons,

1470
01:19:21,840 --> 01:19:25,000
Speaker 1: and we do it to ensure that Americans that are

1471
01:19:25,040 --> 01:19:27,479
Speaker 1: out of work have the best shot at getting these jobs.

1472
01:19:28,000 --> 01:19:30,200
Speaker 1: I think we need to put the American worker first,

1473
01:19:30,840 --> 01:19:33,960
Speaker 1: and in particular, the hardest hip demographic has been Black

1474
01:19:34,000 --> 01:19:37,320
Speaker 1: Americans have been hit unbelievably hard under the last eight

1475
01:19:37,400 --> 01:19:40,320
Speaker 1: years of Obama. It's not fair to them, and I

1476
01:19:40,439 --> 01:19:43,120
Speaker 1: think it's in everybody's best interest to have the wall built,

1477
01:19:43,160 --> 01:19:47,519
Speaker 1: to eliminate Obamacare, to become energy independent, not not fire

1478
01:19:47,640 --> 01:19:50,400
Speaker 1: coal miners and get rid of coal companies like Hillary

1479
01:19:50,439 --> 01:19:53,720
Speaker 1: would do so. I don't have much to say to

1480
01:19:53,800 --> 01:19:57,400
Speaker 1: them except that they own Hillary Clinton. If she wins,

1481
01:19:57,680 --> 01:20:00,439
Speaker 1: I don't look. I think. I think Donald Trump after yesterday,

1482
01:20:01,040 --> 01:20:04,080
Speaker 1: he's in this. I think he can win. As I've

1483
01:20:04,080 --> 01:20:06,240
Speaker 1: said from the very beginning of the process, it's going

1484
01:20:06,280 --> 01:20:08,920
Speaker 1: to be difficult for any Republican to win. They always

1485
01:20:09,000 --> 01:20:12,760
Speaker 1: have to thread this needle jack, and I'm hoping that

1486
01:20:12,840 --> 01:20:14,280
Speaker 1: he's able to pull it out. I hope he can

1487
01:20:14,320 --> 01:20:16,719
Speaker 1: win your state of Florida. I'm hoping he wins North Carolina,

1488
01:20:16,800 --> 01:20:20,120
Speaker 1: hoping he wins Virginia. I'm hoping he wins Ohio, Michigan, Wisconsin,

1489
01:20:20,240 --> 01:20:22,840
Speaker 1: in Pennsylvania, because if he wins those states, he's the

1490
01:20:22,880 --> 01:20:28,160
Speaker 1: next president. I'm in Florida. I'm on the road at

1491
01:20:28,160 --> 01:20:32,000
Speaker 1: at least four hours a day, and uh I'm a

1492
01:20:32,080 --> 01:20:36,040
Speaker 1: truck driver. But I have yet see I think I've

1493
01:20:36,040 --> 01:20:40,200
Speaker 1: seen one Clinton bumper sticker. I'm and I'm not exaggerating.

1494
01:20:42,400 --> 01:20:47,080
Speaker 1: Tons of Trump bumper stickers down here, and uh so, uh,

1495
01:20:47,560 --> 01:20:49,400
Speaker 1: I don't know what any about these polls. I do

1496
01:20:49,600 --> 01:20:52,080
Speaker 1: know what I see though, and all the guys I

1497
01:20:52,160 --> 01:20:55,360
Speaker 1: work with, they're all going for Trump. Nobody's talking about

1498
01:20:56,360 --> 01:20:58,519
Speaker 1: But you know my point again, what it was. I

1499
01:20:58,600 --> 01:21:00,880
Speaker 1: just wanted to say that I think the people that

1500
01:21:01,000 --> 01:21:04,479
Speaker 1: never comforts they think they're being patriots, and the funding

1501
01:21:04,520 --> 01:21:07,920
Speaker 1: fathers would would strongly disagree. Well, I'm not going to

1502
01:21:08,040 --> 01:21:12,680
Speaker 1: question one's patriotism. I will question their wisdom, and I

1503
01:21:12,800 --> 01:21:16,200
Speaker 1: think that they are extraordinarily hurtful at this time, at

1504
01:21:16,240 --> 01:21:19,360
Speaker 1: a time that we really don't have margin of error

1505
01:21:19,400 --> 01:21:22,439
Speaker 1: anymore in terms of the direction of the country. You know,

1506
01:21:22,520 --> 01:21:25,040
Speaker 1: I think more than anything else, I think why immigration,

1507
01:21:25,200 --> 01:21:28,559
Speaker 1: why refugees, is the biggest issue probably in the campaign,

1508
01:21:28,640 --> 01:21:31,840
Speaker 1: short of peace and prosperity, And it really comes down

1509
01:21:31,920 --> 01:21:35,720
Speaker 1: to I think demographically, democrats have decided that the more

1510
01:21:35,840 --> 01:21:40,160
Speaker 1: people that they allow in from other countries, especially poorer countries,

1511
01:21:40,640 --> 01:21:42,720
Speaker 1: that they think they're going to be democrats. And I

1512
01:21:42,800 --> 01:21:45,280
Speaker 1: think they're looking long term, playing long ball, and they

1513
01:21:45,320 --> 01:21:47,600
Speaker 1: think this is a power base that they are accumulating

1514
01:21:47,640 --> 01:21:51,479
Speaker 1: for themselves for generations and generations to come. But the

1515
01:21:51,640 --> 01:21:55,360
Speaker 1: predictable outcome of that is America is going to have

1516
01:21:55,560 --> 01:21:57,880
Speaker 1: to pay the piper, and America is going to go

1517
01:21:58,040 --> 01:22:00,320
Speaker 1: bankrupt and America is not going to be able to

1518
01:22:00,400 --> 01:22:03,679
Speaker 1: afford that which it is promising people. We are already

1519
01:22:03,800 --> 01:22:07,240
Speaker 1: on a path to insolvency in many ways. Back to

1520
01:22:07,280 --> 01:22:11,559
Speaker 1: our phones as we say hi to Laurie Is in Beaumont, Texas. Lorie,

1521
01:22:11,600 --> 01:22:14,280
Speaker 1: how are you glad you called? Thank you so much

1522
01:22:14,320 --> 01:22:16,559
Speaker 1: for talking to me. It's great and I'm certainly an

1523
01:22:16,640 --> 01:22:20,640
Speaker 1: honor than week before last, a friend of mine and

1524
01:22:20,720 --> 01:22:23,599
Speaker 1: I jumped in the car and drove the four hours

1525
01:22:23,680 --> 01:22:26,880
Speaker 1: to Austin to hear Donald Trump. And we did it

1526
01:22:27,520 --> 01:22:30,720
Speaker 1: because we've heard all of the media blooney about all

1527
01:22:30,760 --> 01:22:35,439
Speaker 1: the crazy there and Sean I was so impressed by

1528
01:22:35,520 --> 01:22:38,439
Speaker 1: everyone around me. We got there about hour and a

1529
01:22:38,479 --> 01:22:41,160
Speaker 1: half before the thing opened. There was a Hispanic man

1530
01:22:41,560 --> 01:22:44,840
Speaker 1: married to a white lady up front of us who

1531
01:22:44,920 --> 01:22:46,840
Speaker 1: had in the last eight years had to close two

1532
01:22:46,880 --> 01:22:51,920
Speaker 1: businesses because of the current president restrictions and taxes, and

1533
01:22:52,000 --> 01:22:54,559
Speaker 1: they were hopeful that this president, this new president, would

1534
01:22:54,600 --> 01:22:57,439
Speaker 1: give them a chance at bettering their lives and opening

1535
01:22:57,479 --> 01:23:00,720
Speaker 1: their businesses up again. There was a amend that is

1536
01:23:00,840 --> 01:23:06,639
Speaker 1: a environmental um engineer that's traveled the last five years

1537
01:23:06,760 --> 01:23:10,720
Speaker 1: interviewing World War Two veterans and did a book that

1538
01:23:10,840 --> 01:23:14,519
Speaker 1: he's not selling that after the Trump rally was going

1539
01:23:14,880 --> 01:23:17,840
Speaker 1: to Fredericksburg to the Nemts Museum to give their two

1540
01:23:17,880 --> 01:23:19,960
Speaker 1: hundred copies so they could use it as a fundraiser.

1541
01:23:20,520 --> 01:23:23,479
Speaker 1: There was a lady from California whose grandkids lived in

1542
01:23:23,560 --> 01:23:27,360
Speaker 1: Texas who changed her plans um to go home so

1543
01:23:27,479 --> 01:23:30,080
Speaker 1: that she could be there at the rally to see

1544
01:23:30,160 --> 01:23:33,479
Speaker 1: Trump and in in California um she and a group

1545
01:23:33,560 --> 01:23:36,439
Speaker 1: of people spent all their time with a charity that

1546
01:23:36,560 --> 01:23:41,439
Speaker 1: helps wounded warriors. When we got there, he was who

1547
01:23:41,600 --> 01:23:44,760
Speaker 1: I want my president to be. The speakers were not

1548
01:23:46,160 --> 01:23:51,400
Speaker 1: um crazy's. They were good, strong, American, loving people. Um,

1549
01:23:51,520 --> 01:23:56,679
Speaker 1: Donald Trump walked out there like a professional, conducted himself

1550
01:23:57,200 --> 01:24:00,720
Speaker 1: as a professional. It wasn't name college, it wasn't it

1551
01:24:00,880 --> 01:24:04,599
Speaker 1: was it was presidential. It was what I wanted to see.

1552
01:24:04,800 --> 01:24:08,519
Speaker 1: And I came back with such hope. And then after

1553
01:24:08,640 --> 01:24:11,439
Speaker 1: listening to him yesterday, I mean, it's just it's just

1554
01:24:11,520 --> 01:24:14,080
Speaker 1: getting bigger and bigger and better and better. And I

1555
01:24:14,240 --> 01:24:16,880
Speaker 1: just want to tell you that. Yeah, look, I'm gonna

1556
01:24:16,920 --> 01:24:19,439
Speaker 1: tell you. I think all the empirical data is out

1557
01:24:19,520 --> 01:24:22,320
Speaker 1: there that shows I mean, I was looking at something.

1558
01:24:22,320 --> 01:24:23,840
Speaker 1: I think it was Lauren who handed it to me

1559
01:24:23,880 --> 01:24:28,000
Speaker 1: or Linda yesterday. Google actually did some research and look,

1560
01:24:28,040 --> 01:24:30,080
Speaker 1: I I know, the Nate Silvers of the world go

1561
01:24:30,240 --> 01:24:34,040
Speaker 1: not there relying on data that is not pole oriented.

1562
01:24:34,120 --> 01:24:36,840
Speaker 1: It's not scientific, it's not. But it's an interesting analysis

1563
01:24:36,920 --> 01:24:39,200
Speaker 1: that I find and Google put it out, so I

1564
01:24:39,240 --> 01:24:41,519
Speaker 1: think it's worth sharing with you. And you know, if

1565
01:24:41,560 --> 01:24:44,080
Speaker 1: you ever see Hillary Clinton, and it starts out, have

1566
01:24:44,120 --> 01:24:46,200
Speaker 1: you ever seen a Hillary Clinton yard sign in real life?

1567
01:24:46,680 --> 01:24:49,720
Speaker 1: Then the answers no, And then he searched Google for

1568
01:24:49,880 --> 01:24:52,839
Speaker 1: Trump and Trump terms and they're surprised by the results.

1569
01:24:52,880 --> 01:24:55,400
Speaker 1: And that is that you know, Donald Trump has three

1570
01:24:55,520 --> 01:25:00,599
Speaker 1: times the amount of Google searching then, as does Hillary Clinton. Now,

1571
01:25:00,720 --> 01:25:03,719
Speaker 1: they went back and they actually looked at Carrie versus

1572
01:25:03,800 --> 01:25:06,280
Speaker 1: Bush in two thousand and four, and what you find is,

1573
01:25:06,920 --> 01:25:10,439
Speaker 1: you know that Bush did a lot better in terms

1574
01:25:10,479 --> 01:25:15,120
Speaker 1: of Google hits than did John Kerry. Um. Does that

1575
01:25:15,280 --> 01:25:17,519
Speaker 1: mean that this is a trend that we can watch. Well,

1576
01:25:18,000 --> 01:25:19,920
Speaker 1: we saw the same thing in two thousand and eight

1577
01:25:20,040 --> 01:25:23,679
Speaker 1: with Obama versus McCain. And and in that particular case,

1578
01:25:23,760 --> 01:25:26,840
Speaker 1: it was Barack Obama who was trending a lot better

1579
01:25:26,960 --> 01:25:29,720
Speaker 1: than was Mitt Romney. And then you can look at

1580
01:25:30,080 --> 01:25:32,120
Speaker 1: you know, the key data now and what you see

1581
01:25:32,200 --> 01:25:36,040
Speaker 1: is Donald Trump is trending a lot better than Hillary Clinton.

1582
01:25:36,760 --> 01:25:40,040
Speaker 1: You know it's Hillary for prison t shirts gets more

1583
01:25:40,080 --> 01:25:43,839
Speaker 1: searches than Hillary bumper stickers. I mean, does that mean anything?

1584
01:25:44,360 --> 01:25:47,320
Speaker 1: Trump is destroying her and merchandise and slogan searches. But

1585
01:25:47,400 --> 01:25:50,600
Speaker 1: what other search terms helped indicate a Trump landslide? You

1586
01:25:50,680 --> 01:25:54,519
Speaker 1: know Hillary's low energy on with her slogan, Well, that's

1587
01:25:54,760 --> 01:25:57,599
Speaker 1: that's not anything. It's a blip compared to make America

1588
01:25:57,680 --> 01:26:00,400
Speaker 1: great again. You know. The next area look at his

1589
01:26:00,520 --> 01:26:02,840
Speaker 1: data that I think is awf of fun Clinton rally,

1590
01:26:02,920 --> 01:26:06,439
Speaker 1: Trump rally and Sanders rally, and you know, Trump blows

1591
01:26:06,520 --> 01:26:09,240
Speaker 1: crooked Hillary out of the water. What about Sanders? He

1592
01:26:09,320 --> 01:26:11,599
Speaker 1: had thousands of passion of people lining up for him.

1593
01:26:12,400 --> 01:26:15,880
Speaker 1: Well she he did better than her as well. So

1594
01:26:16,000 --> 01:26:17,160
Speaker 1: I don't know if it's a true. I don't know

1595
01:26:17,280 --> 01:26:19,000
Speaker 1: what to make of it, but it's certainly there is

1596
01:26:19,120 --> 01:26:21,280
Speaker 1: other data that I think we can start looking at

1597
01:26:22,080 --> 01:26:25,000
Speaker 1: because the world has changed so dramatically, and I think

1598
01:26:25,040 --> 01:26:27,240
Speaker 1: in the years to come, it's gonna be a better

1599
01:26:27,439 --> 01:26:29,680
Speaker 1: measure of where we are. But it just isn't there

1600
01:26:29,800 --> 01:26:33,120
Speaker 1: right now. One Shawn, if you want to be a

1601
01:26:33,160 --> 01:26:34,560
Speaker 1: part of the program. By the way, the Google the

1602
01:26:34,600 --> 01:26:38,040
Speaker 1: website with the information information is regated dot com R

1603
01:26:38,120 --> 01:26:41,240
Speaker 1: E G A T E D regated dot com. Let's

1604
01:26:41,280 --> 01:26:43,559
Speaker 1: get to our phones. Are Crazy Mo in Brooklyn, New

1605
01:26:43,640 --> 01:26:45,720
Speaker 1: York on the All New A M seven ten w

1606
01:26:45,920 --> 01:26:48,479
Speaker 1: O R, the Voice of New York, New Jersey, Long Island.

1607
01:26:48,520 --> 01:26:51,280
Speaker 1: How are you, sir? What's up? Crazy Mo? I'm great?

1608
01:26:51,920 --> 01:26:54,559
Speaker 1: Are you? Mo? Has said to me for years, I'm

1609
01:26:54,600 --> 01:26:57,360
Speaker 1: the most dangerous man in America. You don't believe that anymore,

1610
01:26:57,439 --> 01:26:59,960
Speaker 1: do you? Because if I was Obama never would have

1611
01:27:00,000 --> 01:27:04,880
Speaker 1: in president the last eight years. Well, Sean, dangerous is

1612
01:27:04,960 --> 01:27:08,920
Speaker 1: not always effective, as we can tell by your the

1613
01:27:09,040 --> 01:27:12,320
Speaker 1: fella you like from the next president of the United States.

1614
01:27:12,760 --> 01:27:16,679
Speaker 1: He's a very dangerous man in some ways, well mainly

1615
01:27:16,800 --> 01:27:20,439
Speaker 1: with his mouth. But you know, Sean, I hate to

1616
01:27:20,520 --> 01:27:23,479
Speaker 1: burst your bubble, buddy, but the numbers are not there

1617
01:27:23,600 --> 01:27:27,479
Speaker 1: for that fella. They're not there. So when it comes

1618
01:27:27,520 --> 01:27:30,559
Speaker 1: to November and you want to take a vacation, I'll

1619
01:27:30,680 --> 01:27:32,760
Speaker 1: guest house for a couple of weeks for years while

1620
01:27:32,800 --> 01:27:38,439
Speaker 1: you recover. Okay, uh, Look, if this happens and Hillary

1621
01:27:38,560 --> 01:27:45,280
Speaker 1: becomes president, if that happens, I will be like everybody else,

1622
01:27:45,400 --> 01:27:48,479
Speaker 1: sad that wants to change the direction of the country

1623
01:27:49,439 --> 01:27:52,960
Speaker 1: if it happens. But I feel more and more I'd

1624
01:27:53,040 --> 01:27:55,000
Speaker 1: have a good feeling. I think Trump is in this.

1625
01:27:55,880 --> 01:27:58,360
Speaker 1: I think he's got a good shot, and I think

1626
01:27:58,439 --> 01:28:01,680
Speaker 1: if he stays the way he has been going, he

1627
01:28:01,840 --> 01:28:05,120
Speaker 1: can win this race and win it handily, if he

1628
01:28:05,240 --> 01:28:08,599
Speaker 1: stays on message, if he does his debate prep. Now

1629
01:28:08,640 --> 01:28:11,160
Speaker 1: there's a lot of ifs in there, staying on message,

1630
01:28:11,280 --> 01:28:14,519
Speaker 1: doing his debate prep, stay as presidential as he was yesterday,

1631
01:28:15,040 --> 01:28:18,080
Speaker 1: I think that he has a more than better than

1632
01:28:18,120 --> 01:28:21,360
Speaker 1: fifty shot. And I say that as somebody that knows

1633
01:28:21,479 --> 01:28:25,560
Speaker 1: the electoral map does not help Republicans. I mean, you know,

1634
01:28:25,600 --> 01:28:29,040
Speaker 1: when you start out without New York, New Jersey, Illinois,

1635
01:28:29,720 --> 01:28:33,400
Speaker 1: and California, Oregon and Washington, you're in trouble. And I

1636
01:28:33,439 --> 01:28:36,160
Speaker 1: think if Donald Trump runs a fifty state campaign, spends

1637
01:28:36,160 --> 01:28:41,240
Speaker 1: a lot of time in states like Michigan, Wisconsin, Ohio, Pennsylvania, Florida,

1638
01:28:41,320 --> 01:28:47,080
Speaker 1: North Carolina, Virginia, uh Iowa, and goes to countries US countries,

1639
01:28:47,160 --> 01:28:51,920
Speaker 1: states like New Mexico and Colorado and Nevada, I think

1640
01:28:51,960 --> 01:28:54,439
Speaker 1: he can win, but I can't say for sure. And

1641
01:28:54,479 --> 01:28:56,160
Speaker 1: I think anybody that does tell you they know for

1642
01:28:56,200 --> 01:28:58,759
Speaker 1: sure just doesn't know what they're talking about. I would argue,

1643
01:28:58,800 --> 01:29:01,320
Speaker 1: probably right now he's behind, but I would not be

1644
01:29:01,439 --> 01:29:03,559
Speaker 1: surprised he gets if he gets a big bump from

1645
01:29:03,560 --> 01:29:05,920
Speaker 1: what happened yesterday, And if he does, then his poll

1646
01:29:06,000 --> 01:29:09,320
Speaker 1: numbers will go up, hopefully considerably. All right, big mom,

1647
01:29:09,479 --> 01:29:13,320
Speaker 1: We appreciate it as always one shown as a toll

1648
01:29:13,360 --> 01:29:14,840
Speaker 1: free telephone number. You want to be a part of

1649
01:29:14,880 --> 01:29:15,320
Speaker 1: the program,