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Speaker 1: All right, thanks Scott Shannon, and thanks to all of

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Speaker 1: you for being with us. Right down our toll free

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Speaker 1: telephone number. You want to be a part of this

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Speaker 1: Extravaganza's eight hundred and nine four one, Sean, if you

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Speaker 1: want to be with us, We're going to get into

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Speaker 1: the raid on Rudy Giuliani's apartment in his office. And

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Speaker 1: the fact that apparently Google same well sorry not Google, Apple,

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Speaker 1: the same Apple that wouldn't allow the FBI or help

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Speaker 1: the FBI to get into the iPhone of the San

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Speaker 1: Bernardino shooter, you know, didn't seem to have any problem

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Speaker 1: at all allowing the investigators from whatever bureau get to

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Speaker 1: Rudy Giulianni's eCloud. And apparently they did this in twenty

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Speaker 1: nineteen while he was representing President Trump, at a point

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Speaker 1: when presidential privilege and attorney client privilege was in full exist,

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Speaker 1: and they knew everything that was going on, at least

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Speaker 1: everything that's uploaded to the cloud, which a lot of

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Speaker 1: people I think is everything. What the hell do I

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Speaker 1: know about a cloud? Don't come to me for computer advice.

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Speaker 1: I'm the worst guy to ask. Barely can download an app. Still,

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Speaker 1: this is not gonna be good. This should be concerning

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Speaker 1: to everybody here. So we all followed the case of

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Speaker 1: Officer Chauvin and the guilty verdicts in the George Floyd case.

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Speaker 1: Now he's waiting. It was about what I think we

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Speaker 1: were going to wait eight weeks till setting thing. If

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Speaker 1: I recall correctly and anyway, there might be a new

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Speaker 1: basis for an appeal of that murder conviction because a

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Speaker 1: juror failed to reveal to the court that he was

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Speaker 1: a supporter of Black Lives Matter, and a photo recently

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Speaker 1: emerged online of one of the jurors in this case

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Speaker 1: wearing a Black Lives Matter T shirt. It has now

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Speaker 1: sparked questions about his impartiality and the juror, Brandon Mitchell,

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Speaker 1: could be seen in the photo wearing the T shirt

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Speaker 1: emblaze him with a picture of Martin Luther King Junior

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Speaker 1: and the phrases get your knee off our neck and BLM.

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Speaker 1: And he's also wearing a Black Lives Matter hat in

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Speaker 1: the photo. Now, during the jury selection process, each prospective

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Speaker 1: juror is required to answer a questionnaire and that includes

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Speaker 1: questions about participation and demonstrations and protests. Did you or

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Speaker 1: someone close to you participate in any of the demonstrations

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Speaker 1: or marches against police brutality that took place in Minneapolis

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Speaker 1: after George Floyd's death. That was one of the questions.

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Speaker 1: Another one was, other than that you have already described above,

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Speaker 1: have you or anyone close to you participated in protests

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Speaker 1: about police use of force or police brutality now? He

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Speaker 1: told the Star Tribune that he replied no to both questions,

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Speaker 1: but he also admitted that his t shirt the photo

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Speaker 1: was actually taken at a rally in Washington, d C.

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Speaker 1: Last summer commemorating mlk's famous nineteen sixty three I have

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Speaker 1: a dream speech. I think I was being extremely honest,

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Speaker 1: he says, regarding the jury selection process, I gave my

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Speaker 1: views on everything on the case on Black Lives Matter.

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Speaker 1: Jury consultant that was questioned by The Washington Post that

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Speaker 1: his answers could lead to an appeal for Chauvin's attorney

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Speaker 1: and the judge could also call in this particular juror

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Speaker 1: for questioning and yeah, quote, this could change the outcome

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Speaker 1: of things. If there's anything that makes him seem that

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Speaker 1: he was not forthcoming, it could absolutely be an avenue

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Speaker 1: for the judge to reconsider the case. I Meanwhile, civil

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Speaker 1: rights attorney Brian Dunn told The Washington Post that the

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Speaker 1: photo was undeniably suggestive of a possible bias in this juror.

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Speaker 1: He said a more detailed review would be needed. At

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Speaker 1: the worst part of this is that means, oh, this

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Speaker 1: may not be over. There's an Axios piece out there.

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Speaker 1: What's next? A violent summer on America's streets? They're writing,

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Speaker 1: it appears to be likely given the homicides already that

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Speaker 1: appeared to be trending above last year's record highs. Homicide

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Speaker 1: rates historically spiked during summer months when the hotter weather

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Speaker 1: puts more people on the streets, and vaccination coverage is increasing.

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Speaker 1: In the pandemic and all its knock on effects won't

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Speaker 1: be finished by then, Summer at twenty twenty one is

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Speaker 1: going to be abnormally violent. I hope to god that's

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Speaker 1: not true. John Roman, a senior fellow at the Economics,

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Speaker 1: Justice and Society Group at NRC at the University of Chicago, writing,

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Speaker 1: it's the new normal. Why do we have to accept

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Speaker 1: that as the new normal? Why? Why should you know

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Speaker 1: dozens of shootings every weekend in Chicago be acceptable? Why

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Speaker 1: don't we hear? I mean, why isn't we only hear

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Speaker 1: from the high profile cases or the case that involves

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Speaker 1: the cop, which is the slimmest majority of cases. Why

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Speaker 1: isn't there a focus like a laser bead on the

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Speaker 1: most violent cities in America and the weekly statistics, the

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Speaker 1: daily statistics. Sometimes you should have seen this video that's

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Speaker 1: out there, woman randomly sucker punching and robbing, you know,

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Speaker 1: someone in the New York City subway. I mean it

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Speaker 1: was a harsh sucker punch and robbery caught on video.

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Speaker 1: And you know, it's just none of this is good.

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Speaker 1: You get all these videos that are out there. There's

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Speaker 1: a video out there of a woman spewing horrible verbal

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Speaker 1: attacks against an La County Deputy sheriff. The driver tell

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Speaker 1: in the La County deputy calling him a murderer and

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Speaker 1: a racist attack. Han on video. You'll you'll you'll never

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Speaker 1: be white because you're a murderer. Yes, I started to

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Speaker 1: record because you can't be on your cell phone while

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Speaker 1: you're driving. Phone. I was recording you because you can't

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Speaker 1: use your cell phone while you have your driver's license.

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Speaker 1: It's it's at my apartment and I'm perfect legal and

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Speaker 1: I'm a teacher. So then congratulations, you're a murderer. It's

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Speaker 1: only citing you for using your cell phone and while

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Speaker 1: you're driving. That's it for him being a Mexican racist?

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Speaker 1: What is that name? Gas on the citation? Man? Here

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Speaker 1: you go, Mexican racist. You're always going to be a Mexican.

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Speaker 1: You'll never be white, you know that, right? Well, what

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Speaker 1: is wrong with people? I mean, who wants to who

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Speaker 1: wants to be a cop? Today? Get an employee in

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Speaker 1: Seattle fired after refusing to serve a police officer at

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Speaker 1: a chocolate chop. An employee fired for refusing to serve

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Speaker 1: the officer last week, The store's owner said, in an

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Speaker 1: about face after initially backing the worker's freedom of speech,

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Speaker 1: good grief. Now you got this this image of this

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Speaker 1: black lives amount of a a T shirt in the show case.

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Speaker 1: That's just awful. Now we do have some numbers Chicago

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Speaker 1: shootings and murder murders and now outpacing the record high

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Speaker 1: of twenty twenty. It's unbelievable. And you know, you think,

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Speaker 1: just when they can't get worse, it's getting worse. Now,

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Speaker 1: just for give you the facts. The murders and shootings

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Speaker 1: are outpacing twenty twenty eight hundred and thirty two shootings

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Speaker 1: in Chicago eight hundred and thirty two as of April thirtieth,

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Speaker 1: from which nine hundred ninety seven people were wounded. In

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Speaker 1: other words, eight hundred and thirty two shooting events and

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Speaker 1: ninety seven wounded. Police set announcing the statistics. The year

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Speaker 1: to date figures show a stark increase compared to the

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Speaker 1: last time this time last year, where there was only

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Speaker 1: seven hundred and eighteen people that were struck, only six

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Speaker 1: hundred thirty six and twenty three shootings. Don't you think

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Speaker 1: that's record high? Is high enough? Now we're now we're

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Speaker 1: up by a third, one hundred and eighty seven people

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Speaker 1: so far killed from January first to April thirtieth in Chicago.

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Speaker 1: Here's a question I have. Can any of you ask yourself?

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Speaker 1: Do you know the names of anybody shot and killed

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Speaker 1: in the city of Chicago? Can you think of anybody?

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Speaker 1: Can you think of one name? Can you remember one name?

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Speaker 1: Because we only hear about the names when it advances

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Speaker 1: a political agenda. Doesn't every life matter many case? I'm

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Speaker 1: sure some of these names are African Americans, Every life

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Speaker 1: does matter. Chicago police have taken more than three thousand,

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Speaker 1: six hundred guns, including one hundred and fifty so called

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Speaker 1: assault weapons, off the street as they call them. You

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Speaker 1: know the number of murders reported in April, I mean

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Speaker 1: fifty three. Look, I'm just giving you the numbers. Most

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Speaker 1: Portland Riots suspects won't be prosecuted, according to a US attorney,

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Speaker 1: David Bouchard, admitting he put a Customs Border Protection officer

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Speaker 1: in a chokehold and lo and behold. Charles Comfort was

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Speaker 1: indicted by a grand jury of civil disorder for twice

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Speaker 1: charging at the Portland Police Bureau officers, hitting number the

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Speaker 1: makeshift shield, and then kicking a third officer while being arrested.

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Speaker 1: Both men faced federal charges stemming from their actions during

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Speaker 1: the summer of more than one hundred knights of violent protests.

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Speaker 1: But Bouchard and Comfort, oh, they're just among dozens of

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Speaker 1: Portland federal arrestees whose cases are dismissed, being deferred. Not

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Speaker 1: a day behind bars, not one day for attacking a

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Speaker 1: police officer. Want to be again? You want to be

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Speaker 1: a cop? And then the obvious question, God forbid it

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Speaker 1: happens to you who are you going to call? And

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Speaker 1: what are you going to do? You ask me that question.

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Speaker 1: I'm going to keep my answer to myself except to

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Speaker 1: say that I take I will defend myself and people

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Speaker 1: that I care about, and it's some people. It's unbelievable.

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Speaker 1: I just can't get over this. We'll play this tape

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Speaker 1: again of this woman. Why would this teacher? Now, if

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Speaker 1: I was the head of a school district and this

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Speaker 1: teacher is on tape talking to a cop this way,

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Speaker 1: I would think that maybe that teacher is not qualified

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Speaker 1: a teacher. But maybe I'm maybe I'm overreacting here. You

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Speaker 1: you decide. I pulled you over because you're a murderer. Yes,

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Speaker 1: I started to record because you can't be on your

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Speaker 1: cell phone while you're driving. Phone. I was recording you

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Speaker 1: because you can't use your cell phone while you have

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Speaker 1: your driver's license. It's it's at my apartment and I'm

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Speaker 1: perfectly legal and I'm a teacher. So there, congratulations, you're

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Speaker 1: a murderer. It's only citing you for using your cell

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Speaker 1: phone and while you're driving. That's it for him being

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Speaker 1: a Mexican racist. What is that name? Gas on the

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Speaker 1: citation man? Here you go, Mexican racist. You're always going

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Speaker 1: to be a Mexican. You'll never be white, you know that, right,

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Speaker 1: A murderer, a Mexican racist, you're always going to be.

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Speaker 1: I don't even know what to say. I feel so

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Speaker 1: bad for that cop. Guy's doing his job. What what?

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Speaker 1: What is wrong with people? Right as we roll along

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Speaker 1: eight hundred and nine one sean you want to be

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Speaker 1: a part of the program. Apparently hot mic moment, and

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Speaker 1: it may be an indicator that Liz Cheney's days are

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Speaker 1: numbered as a member of the House GOP leadership. Anyway,

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Speaker 1: the newer report that is out says that Kevin McCarthy

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Speaker 1: has done defending Congresswoman Cheney, signaling that, you know, the

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Speaker 1: anti Trump lawmakers days as House Republican Conference chairwoman may

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Speaker 1: be numbered. I know from a lot of people that

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Speaker 1: I know in Congress that are Republicans, they don't want

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Speaker 1: her in that position. And he said that he's lost

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Speaker 1: confidence in Cheney during an off air hot mic moment

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Speaker 1: with Steve Doocey on Fox and Friends. According to Axios,

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Speaker 1: I think she's got real problems. I've I've had it

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Speaker 1: with her, you know, I've lost confidence. Someone just has

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Speaker 1: to bring emotion, but I assume that will probably take place.

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Speaker 1: He stated in the interview that with do see that

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Speaker 1: House Republicans are concerned about whether Cheney can continue her

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Speaker 1: leadership duties as she continues to drive a wedge between

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Speaker 1: Republicans with her critical comments regarding former President Trump. Look,

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Speaker 1: I don't really care that much. I've never got too

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Speaker 1: involved in this whole. You know, if you want to

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Speaker 1: call yourself a Republican and you're not and help elect

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Speaker 1: Joe Biden liked the Lincoln Project, I'm actually okay with that.

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Speaker 1: I wish you'd be a little more honest about it.

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Speaker 1: You can't say because Donald Trump governed conservatively, or say

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Speaker 1: I like his policies, but I don't agree with this style.

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Speaker 1: Just be honest. But they try and run around I

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Speaker 1: wear a Republican, they're not Republicans, and I think this

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Speaker 1: is where a lot of people. Well, what's frustrating, though,

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Speaker 1: is Liz Cheney seems to just have her own agenda

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Speaker 1: over that of the position that she holds. She may

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Speaker 1: run for president. I don't even think she can get reelected.

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Speaker 1: I don't think Mitt Romney can get reelected. I'm not

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Speaker 1: I don't even think Lisa Murkowski, she's in trouble in Alaska.

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Speaker 1: Not that I disliked them, I'm just saying that they're

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Speaker 1: not where the base of this party is at this moment.

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Speaker 1: All right, twenty five to the top of the hour,

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Speaker 1: eight hundred and ninety four one, Sean, you want to

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Speaker 1: be a part of the program, here's what I say.

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Speaker 1: And some people want me to be worked up, want

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Speaker 1: me to be angry, want me to be upset over

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Speaker 1: the Lincoln Project and Mitt Romney's of the world than

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Speaker 1: the Liz Chenneys of the world. You know. The sad

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Speaker 1: thing in the case of both Say Romney and Liz

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Speaker 1: Cheney is that the base of the party, you know,

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Speaker 1: they went all in to support the Cheneys and the Romney's.

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Speaker 1: They went all in, and many people that knew, for example,

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Speaker 1: that maybe Mitt Romney wasn't as conservative as them, they

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Speaker 1: still saw that he was a better option. In twenty twelve,

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Speaker 1: I was the same option as two thousand and eight

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Speaker 1: with John McCain, and you just you just don't have

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Speaker 1: a choice. You go all in. And I was warning

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Speaker 1: of the radicalism of Obama and his background and his

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Speaker 1: associations and his black liberation theology is the chum gang

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Speaker 1: Frank Marshall, Davis Olinsky And you know what is a

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Speaker 1: community organizer The Church of g D America airs dorn

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Speaker 1: unrepentant domestic terrorists. Yeah, I'll support anybody over that. That

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Speaker 1: wasn't that hard and uh and it was amazing because

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Speaker 1: the people that ran that campaign didn't have the smarts,

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Speaker 1: the wherewithal, the fight in them to do these things.

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Speaker 1: You know, when you know at the time, I've still

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Speaker 1: to this day believe that the battle in the war

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Speaker 1: on terror was justified and needed and necessary and based

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Speaker 1: on the images of weapons of mass destruction it used

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Speaker 1: on their his own people of Saddam Hussein, I still

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Speaker 1: believe in the lead up to the war is probably moved,

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Speaker 1: but I can't prove it. So it's it's a long

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Speaker 1: ago discussion. And the good news for our military is

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Speaker 1: military technological advancement has made has transformed future conflicts and

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Speaker 1: how we're going to fight them with pinpoint accuracy. Guy

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Speaker 1: in Tampa, Florida, can you know, take out anybody any

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Speaker 1: place anywhere in the world at any time. I may

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Speaker 1: look at the operation against Solomani, the world's biggest terror

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Speaker 1: from the world's largest terror state of her own. It's

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Speaker 1: a pretty amazing thing. So I don't get worked up.

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Speaker 1: I do think that there is a disconnect. It's sort

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Speaker 1: of like, and if Liz Cheney wants to run for president,

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Speaker 1: let to run for president. But if she's going to

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Speaker 1: make it about her and her agenda and her agendas

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Speaker 1: at odds the rest of the caucus, then at that

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Speaker 1: point I don't think she warned some position and leadership. Well,

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Speaker 1: you conservatives are intolerant, you don't take people of different

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Speaker 1: points of view. I have no problem with that. The

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Speaker 1: agenda being a Conservative, I keep telling people, is very simple,

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Speaker 1: keep it simple, stupid. The party of liberty, freedom, capitalism,

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Speaker 1: and our great Constitution, including the First and Second Amendment.

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Speaker 1: It's the party that believes in law and order and

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Speaker 1: safety and security for every town and every city in America.

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Speaker 1: Conservatism is about choice in public schools and breaking up

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Speaker 1: the unholy alliance of teachers unions with the Radical Democratic

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Speaker 1: Socialist Party. It's also about free market solutions for healthcare

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Speaker 1: and yes, protecting preexisting conditions. In case you were wondering.

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Speaker 1: We believe in people that will won't legislate from the bench,

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Speaker 1: that are constitutionalists that they will serve their role only

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Speaker 1: as defined by what it means to be in the judiciary.

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Speaker 1: Original Ism constitutionalists. We believe in lower taxes, limited government,

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Speaker 1: less government bureaucracy is possible so that we don't stifle

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Speaker 1: and put a stranglehold on business. Same with taxes. You know,

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Speaker 1: high taxes prevents investment. We believe in safe and secure

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Speaker 1: borders and legal immigration. We believe in energy and dependence.

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Speaker 1: We believe in peace through strength, the biggest badass military

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Speaker 1: on the face of this earth, and free and fair trade.

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Speaker 1: Tell me what I'm missing, because if you say you

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Speaker 1: are a conservative, then those are the things that I

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Speaker 1: have pretty much supported my entire career, thirty three years

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Speaker 1: on radio. I can now just break it down into

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Speaker 1: less than a minute. And that is what conservatism should

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Speaker 1: be about. And yeah, you're gonna have variations. Reagan once said,

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Speaker 1: if we agree eighty percent of the time, you're not

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Speaker 1: my enemy. But they're making it personal now. If they

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Speaker 1: have a problem with Donald Trump's style, state it fine.

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Speaker 1: You have a problem with his style. He tweets too much,

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Speaker 1: he's too combative, not presidential, whatever you want to say,

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Speaker 1: I don't care. But he also fought and fought hard,

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Speaker 1: something that prior to Trump many Republicans did not do.

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Speaker 1: Being nice to Barack Obama and his campaign and ignoring

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Speaker 1: Jeremiah Wright and airs En Dorn didn't really serve the

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Speaker 1: McCain campaign. Well neither did you know? What happened to

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Speaker 1: Hurricane Sandy did not help either. If you remember, the

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Speaker 1: economic down turn at that time was rough, and that man,

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Speaker 1: it became inevitable as a bit of a movement. Okay,

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Speaker 1: they have wave elections all the time. That happens. Twenty

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Speaker 1: twelve could have been one. I don't whoever advised Romney

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Speaker 1: or if he's following his own council, to take his

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Speaker 1: foot off the gas in that second and third debate.

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Speaker 1: Especially the third debate, I remember screaming at his staff saying,

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Speaker 1: what the hell have you done here? You just lost

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Speaker 1: the election. It was such a bad debate performance and

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Speaker 1: he was not aggressive enough, and that's what happens in elections.

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Speaker 1: I have no problem whatsoever with some disagreement within the

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Speaker 1: Republican ranks. So there's this three minute ad. We're gonna

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Speaker 1: show part of it tonight as a preview because we'll

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Speaker 1: be in California tomorrow. Caitlyn Jenner is running. It was

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Speaker 1: a it's a fascinating Linda. Can you put that one?

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Speaker 1: I sent it to you guys earlier today. Put it

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Speaker 1: up on Hannity dot com. We'll tweet it out at

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Speaker 1: Sean Hannity. And it's three minutes long, and it's very

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Speaker 1: reminiscent in the lead up to this interview tomorrow night.

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Speaker 1: And I know, I'm guessing, I don't know for sure.

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Speaker 1: Caitlyn Jenner could have had an interview with anybody. And

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Speaker 1: I think the reason is is because Caitlyn Jenner is

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Speaker 1: serious about substance policy governance. And what really caught me

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Speaker 1: in this ad that they put out. It's really well done.

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Speaker 1: I mean this this thing was killer. It was a

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Speaker 1: great and I look, I've looked at campaign ads my

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Speaker 1: whole career, and it's actually worth playing. I wish you

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Speaker 1: could see the images of it. Will show it tonight

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Speaker 1: on Hannity. But again, it's three minutes. I'll run as

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Speaker 1: long as I think you might be interested. But I

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Speaker 1: thought it was a phenomenal ad. But just to finish

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Speaker 1: the circle here is I think the reason that she

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Speaker 1: decided to come and do my show is because she

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Speaker 1: wants us to be about substance, about political substance and

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Speaker 1: specificity in plans for a state that is way off course.

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Speaker 1: The state with thirteen and a half percent income attacks

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Speaker 1: is the highest in the country, a sanctuary state, a

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Speaker 1: state that was basically shut down by a governor that

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Speaker 1: was having his own fun times and restaurants when nobody

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Speaker 1: else could listen. I've always been a dreamer. California was

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Speaker 1: once the envy. We had what everyone else wanted. The

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Speaker 1: American dream grew up here. Politicians and their policies have

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Speaker 1: destroyed that dream. It's been locked away, closed, shut her,

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Speaker 1: left in the dark, burned down. The government is now

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Speaker 1: involved in every part of our lives. They've taken our money,

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Speaker 1: our jobs, and our freedom. California needs a disruption, a

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Speaker 1: compassionate discruction. I came here with a dream forty eight

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Speaker 1: years ago to be the greatest athlete of the world.

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Speaker 1: Now I enter a different kind of race. Are you

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Speaker 1: agree my most important one yet? To save California. I

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Speaker 1: don't care if you're a Republican Democrat. I'm ready to

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Speaker 1: be governor for all Californias, to reflame our true identity,

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Speaker 1: to bring back the gold, to the Golden State. Now

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Speaker 1: is the time to achieve that something, to be the

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Speaker 1: shining city on the hill, and together we'll restore and

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Speaker 1: renew the California dream. It's about what happens you're here.

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Speaker 1: It's not person it's about all of us. So it's

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Speaker 1: it's well done. We'll put it up on Hannity dot com.

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Speaker 1: Um a couple of interesting lines that she makes in

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Speaker 1: this head. California needs a disruptor, a compassionate disruptor. I

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Speaker 1: came here with a dream forty eight years ago to

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Speaker 1: be the greatest athlete in the world. But when you're

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Speaker 1: when that the cathalon that makes you the gold and

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Speaker 1: you you become the greatest athlete in the world. There's

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Speaker 1: so many different aspects to it. Um. One thing I've

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Speaker 1: known about every athlete I've ever met in my life,

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Speaker 1: any serious athlete, is the amount of work, the amount

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Speaker 1: of commitment, what it takes to be to take even

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Speaker 1: if you have natural talent to take it just even

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Speaker 1: a notch higher where you need to be to be

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Speaker 1: a super excelling athlete. It's unbelievable discipline and work. And

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Speaker 1: you know I'm saying I came here forty eight years

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Speaker 1: ago with a dream to be the greatest athlete in

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Speaker 1: the world. Now I'm entering a different kind of race,

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Speaker 1: arguably the most important one yet to save California. So

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Speaker 1: I'm actually very interested. And I guess maybe thinking out well,

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Speaker 1: the people of California recall Gavin Newsom and can Caitlyn

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Speaker 1: Caitlyn Jenner win that race. There's probably gonna be a

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Speaker 1: lot of people that get in. She must have what

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Speaker 1: you know, name recognition, and it's but it's the substance.

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Speaker 1: And and that was the interesting part of you know,

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Speaker 1: we had a short call. I said, I'd love to

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Speaker 1: interview you and um and I said, I want this

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Speaker 1: to be about real issues and anyway, so I hope

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Speaker 1: you'll too in tomorrow. It's gonna be interesting. I'll show

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Speaker 1: you some of us tonight on TV. Oh, by the way,

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Speaker 1: they see a horrible video that came out, another beating,

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Speaker 1: brutal beating of two Asian women, which has now become

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Speaker 1: it's been happening way too often, and this time in Baltimore.

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Speaker 1: A guy's now behind bars. I guess we should be

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Speaker 1: thankful it didn't happen in New York because they'd be

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Speaker 1: out of jail by now anyway, showing and pummeling two

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Speaker 1: female Korean store owners with a cinder block. How could

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Speaker 1: people treat other people like this in life? What the

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Speaker 1: hell is wrong with them? How does that happen? So sad?

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Speaker 1: By the way, is that picture, I'm sure it is

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Speaker 1: if it's in the daily mail. It's a daily mail

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Speaker 1: picture of Joe and Joe Biden maskless while sitting, you know,

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Speaker 1: on top of like, right next to former President Jimmy

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Speaker 1: Carter ninety six years old and his wife, Rosslyn ninety

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Speaker 1: three years old. It's such a it's so phony, all

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Speaker 1: of this coronavirus Joe stuff. I'm wearing to be extra

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Speaker 1: careful outside. By the way, only thirty six percent of

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Speaker 1: Americans Rasmussen called Biden's policy successful, that's it in his

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Speaker 1: first hundred days of office. Forty one percent say they've

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Speaker 1: been a failure. By the way, school kids, this was

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Speaker 1: an interesting thing on Fox news dot Com. Students at

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Speaker 1: a Virginia fifth grade classroom telling President Biden Joe Biden

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Speaker 1: Virtual learning gave them the chance to eat, take naps

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Speaker 1: at even fake technical glitches in order to avoid answering questions. Wow.

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Speaker 1: Basically that Zoom calls schools were a disaster, not good

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Speaker 1: at all. You have This is the most interesting thing

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Speaker 1: I saw today. Top Biden economists urging the whole world

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Speaker 1: to raise corporate taxes. Now, this is the second Biden appointee.

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Speaker 1: Remember Janet Yellen said it. In this case, it's Cecilia Rouse,

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Speaker 1: chair of the Council of Economic Advisors Biden administration, urging

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Speaker 1: trading partners to adopt a global minimum tax on corporations

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Speaker 1: to offset the effects of Joe Biden's domestic corporate tax increase.

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Speaker 1: You know what that is, Let's conspire government to government

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Speaker 1: against the people of all of our countries so that

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Speaker 1: we can take as much money as possible from one

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Speaker 1: group of people and redistributed to a larger group of

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Speaker 1: people who become dependent on us, so we can stay

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Speaker 1: in power and perpetuity. That's what that proposal is about.

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Speaker 1: Another pole that Americans believe the country is more divided

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Speaker 1: under Joe Biden. I thought everyone loved Joe Biden. Yeah,

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Speaker 1: I guess not, Popsie Daisy. Sorry, didn't work out that way.

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Speaker 1: And he's still lying. Anyone making less than fourter a

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Speaker 1: thousand dollars a year will not pay a single penny

427
00:29:00,120 --> 00:29:06,880
Speaker 1: taxes lie. If one economist, University of Maryland professor penning

428
00:29:06,920 --> 00:29:10,720
Speaker 1: On op ed Biden's woke economics will lead to a disaster,

429
00:29:10,800 --> 00:29:15,000
Speaker 1: I actually believe that too. And Hunter Biden still has

430
00:29:15,040 --> 00:29:19,960
Speaker 1: a holdings in a Chinese investment firm in defiance of

431
00:29:19,960 --> 00:29:23,520
Speaker 1: his father's promise. That was in biz Pack Review right

432
00:29:23,520 --> 00:29:25,959
Speaker 1: an hour two Sean Hannity Show eight hundred and nine

433
00:29:26,040 --> 00:29:28,600
Speaker 1: for one Sean, you want to be a part of

434
00:29:28,680 --> 00:29:34,000
Speaker 1: this extravaganza. By the way, amazing out. Three major news

435
00:29:34,120 --> 00:29:39,680
Speaker 1: organizations got a story about Mayor Rudy Giulianni wrong, you know,

436
00:29:39,840 --> 00:29:45,080
Speaker 1: incorrect information supposedly from government sources that led let's see

437
00:29:45,360 --> 00:29:49,440
Speaker 1: New York Times, Washington Post, NBC News to all get

438
00:29:49,440 --> 00:29:52,920
Speaker 1: it wrong as they reported that the FBI had briefed

439
00:29:53,520 --> 00:29:56,200
Speaker 1: Rudy Giuliani that he was the target of a Russia

440
00:29:56,240 --> 00:30:01,640
Speaker 1: disinformation campaign during his efforts to dig up unflattering information

441
00:30:01,720 --> 00:30:04,360
Speaker 1: about Joe Biden. You know the worst part of all

442
00:30:04,400 --> 00:30:07,640
Speaker 1: of this, Unless you listen to a show like this,

443
00:30:08,120 --> 00:30:10,840
Speaker 1: or watch Hannity on Fox and a couple of or

444
00:30:10,960 --> 00:30:13,600
Speaker 1: listen to a couple of other shows, there's not a

445
00:30:13,680 --> 00:30:16,959
Speaker 1: lot of US and maybe watch a couple of other shows,

446
00:30:16,960 --> 00:30:19,360
Speaker 1: not a lot of us. You wouldn't know that the

447
00:30:19,400 --> 00:30:23,760
Speaker 1: person that bought and paid for a dirty Russian disinformation

448
00:30:23,960 --> 00:30:27,600
Speaker 1: dossier was Hillary Clinton. I know, maybe it just sticks

449
00:30:27,600 --> 00:30:30,280
Speaker 1: in my crawl a little bit bit. The other utter

450
00:30:30,360 --> 00:30:34,400
Speaker 1: hypocrisy of all of this. So we had Rudy on

451
00:30:34,640 --> 00:30:38,000
Speaker 1: last night, and we spent a lot of time talking

452
00:30:38,040 --> 00:30:41,640
Speaker 1: about these federal investigators that rated the apartment any office

453
00:30:41,680 --> 00:30:46,560
Speaker 1: of Rudy Giuliani, America's mayor. And now we have as

454
00:30:46,600 --> 00:30:49,640
Speaker 1: we move forward with all of this, a lot of

455
00:30:49,760 --> 00:30:53,320
Speaker 1: unanswered questions that really need to be resolved. You know,

456
00:30:53,360 --> 00:30:58,560
Speaker 1: another pre dawn raid. They're saying, well, Rudy's under investigation

457
00:30:58,680 --> 00:31:03,120
Speaker 1: for a potential violation. A fairer violation is when you

458
00:31:03,160 --> 00:31:07,280
Speaker 1: don't register fill out the proper government paperwork for foreign

459
00:31:07,360 --> 00:31:10,360
Speaker 1: work with the US federal government. And I asked Rudy

460
00:31:10,440 --> 00:31:12,600
Speaker 1: last night, I said, well, my understanding is is that

461
00:31:12,680 --> 00:31:15,960
Speaker 1: most of your work, if not I found all of

462
00:31:16,000 --> 00:31:21,160
Speaker 1: it had to do with the legitimate investigation into zero

463
00:31:21,280 --> 00:31:24,640
Speaker 1: experience Hunter. We played it yesterday, you know, on Good

464
00:31:24,640 --> 00:31:30,880
Speaker 1: Morning America. Any experience in oil, energy gaspe Nope, Nope,

465
00:31:31,080 --> 00:31:35,440
Speaker 1: any experience in Ukraine. No, and then Joe bragging, You're

466
00:31:35,480 --> 00:31:38,760
Speaker 1: not getting the million dollars unless you fire the prosecutor

467
00:31:38,920 --> 00:31:41,400
Speaker 1: I got. Let's see you got. You got six hours

468
00:31:41,400 --> 00:31:44,200
Speaker 1: to fire that prosecutor, and son of it be they

469
00:31:44,280 --> 00:31:46,280
Speaker 1: did it? Who was the prosecutor? Why would it a

470
00:31:46,400 --> 00:31:49,720
Speaker 1: vice president in the United States want a prosecutor in

471
00:31:49,800 --> 00:31:54,160
Speaker 1: freaking Ukraine. I bet most people can't even find Ukraine

472
00:31:54,160 --> 00:31:56,720
Speaker 1: on a map, except you might know it's next to Russia.

473
00:31:56,800 --> 00:32:00,280
Speaker 1: Why would they want or Ukraine a Ukrainian prosecutor to fire?

474
00:32:00,280 --> 00:32:05,320
Speaker 1: Because they're investigating Hunter Biden and Barisma Holdings, that's why.

475
00:32:05,440 --> 00:32:09,320
Speaker 1: And Joe's leveraging taxpayer dollars to get it. So that

476
00:32:09,520 --> 00:32:13,640
Speaker 1: raises questions, Well, what about zero experienced Hunter? How is

477
00:32:13,640 --> 00:32:17,160
Speaker 1: that possible? Remember the grass Lee Johnson Senate report. We

478
00:32:17,240 --> 00:32:20,760
Speaker 1: have gone into great detail on this program because Barisma,

479
00:32:20,800 --> 00:32:24,120
Speaker 1: with no experience, was paying Hunter Biden and his company

480
00:32:24,360 --> 00:32:28,080
Speaker 1: millions of dollars zero experience. Hunter made money from them

481
00:32:28,320 --> 00:32:33,480
Speaker 1: Ukrainian oil gas giant owned by a sketchy Ukrainian oligarch.

482
00:32:33,680 --> 00:32:35,720
Speaker 1: Remember you got the three and a half million dollars

483
00:32:35,760 --> 00:32:39,360
Speaker 1: wired transfer to his company from the Russian oligarch no

484
00:32:39,560 --> 00:32:42,760
Speaker 1: better known as the First Lady of Moscow. Five million

485
00:32:42,800 --> 00:32:45,800
Speaker 1: dollars from a state backed Chinese company with ties to

486
00:32:45,880 --> 00:32:50,080
Speaker 1: the Chinese military. Got the hundred thousand dollars shopping spreegue

487
00:32:50,320 --> 00:32:54,600
Speaker 1: courtesy of a prominent Chinese national. Hundred thousand from a

488
00:32:54,680 --> 00:32:58,440
Speaker 1: Kazakh oligarch earmark for a brand new car. You know,

489
00:32:58,760 --> 00:33:01,120
Speaker 1: doesn't have any experience any of this. Never mind the

490
00:33:01,120 --> 00:33:04,440
Speaker 1: one point five billion dollar deal. Nothing ever happens, and

491
00:33:04,520 --> 00:33:06,880
Speaker 1: I keep bringing up this issue. Is there a dual

492
00:33:06,960 --> 00:33:11,000
Speaker 1: justice system? Now? Let me play Rudy Giuliani reacting to

493
00:33:11,040 --> 00:33:14,960
Speaker 1: The New York Times, Washington Post, NBC retracting stories about

494
00:33:15,040 --> 00:33:19,880
Speaker 1: him The New York Times, Washington Post, and NBC. I

495
00:33:19,920 --> 00:33:24,000
Speaker 1: believe they had to attract stories about you, your reaction,

496
00:33:25,120 --> 00:33:29,080
Speaker 1: my reactions the headline of the Washington Post. Shuliani briefed

497
00:33:29,160 --> 00:33:31,880
Speaker 1: on Russian connection. They've been trying to make me a

498
00:33:31,960 --> 00:33:36,000
Speaker 1: Russian Asian for about three years, which is totally nuts.

499
00:33:36,400 --> 00:33:39,640
Speaker 1: I'm probably the biggest anti communist you've ever met. There's

500
00:33:39,720 --> 00:33:42,200
Speaker 1: no way that I'm a Russian Asian or anybody else's agent.

501
00:33:42,280 --> 00:33:45,080
Speaker 1: I was a lawyer who was representing a client who

502
00:33:45,160 --> 00:33:47,960
Speaker 1: was innocent. The biggest burden a lawyer can have is

503
00:33:47,960 --> 00:33:50,600
Speaker 1: to represent an innocent man. And I did it damn well,

504
00:33:51,200 --> 00:33:54,200
Speaker 1: and I have exposed that our president as one of

505
00:33:54,200 --> 00:33:57,320
Speaker 1: the biggest criminals in the history of the country. All Right,

506
00:33:57,360 --> 00:33:59,880
Speaker 1: So there you go. That's Rudy's answer. Now you might

507
00:34:00,160 --> 00:34:04,320
Speaker 1: remember the San Bernardino shooter case. Remember the FBI is

508
00:34:04,400 --> 00:34:07,880
Speaker 1: asking Apple if they can get into the iPhone of

509
00:34:07,920 --> 00:34:13,400
Speaker 1: the San Bernardino shooter. This is Apple's Tim Cook answering

510
00:34:13,440 --> 00:34:16,080
Speaker 1: that question, do you really want to plant the flag

511
00:34:16,120 --> 00:34:20,759
Speaker 1: on privacy and safety on side for Ruke's iPhone? I

512
00:34:20,840 --> 00:34:25,759
Speaker 1: think safety of the public is incredibly important, safety of

513
00:34:25,760 --> 00:34:30,360
Speaker 1: our kids, safety of our families is very important. The

514
00:34:30,520 --> 00:34:34,520
Speaker 1: protection of people's data is incredibly important. And so the

515
00:34:34,560 --> 00:34:39,319
Speaker 1: tradeoff here is we know that doing this could expose

516
00:34:39,480 --> 00:34:44,960
Speaker 1: people to incredible vulnerabilities. This is not something that we

517
00:34:45,000 --> 00:34:50,080
Speaker 1: would create. This would be bad for America. Bad for America.

518
00:34:50,360 --> 00:34:55,000
Speaker 1: Now here's the question. Rudy was pointing out that apparently,

519
00:34:55,160 --> 00:34:58,080
Speaker 1: while he was representing the president of the United States,

520
00:34:58,840 --> 00:35:05,719
Speaker 1: that in fact, investigators were reading his iCloud messages in

521
00:35:05,760 --> 00:35:09,120
Speaker 1: twenty nineteen. This is all in the lead up to impeachment. Well,

522
00:35:09,160 --> 00:35:12,920
Speaker 1: how is it that it's it's bad for America when

523
00:35:13,280 --> 00:35:17,920
Speaker 1: it's the San Bernardino shooter, but not bad for America. Again,

524
00:35:17,960 --> 00:35:20,560
Speaker 1: you're supposed to have privilege with your doctor, you know,

525
00:35:20,960 --> 00:35:25,520
Speaker 1: patient client privilege, attorney client privilege as the President of

526
00:35:25,560 --> 00:35:28,400
Speaker 1: the United States not afforded that. Apparently not Donald Trump.

527
00:35:28,760 --> 00:35:32,799
Speaker 1: David Shone Civil liberties attorney Greg Jarrett hosts the two

528
00:35:33,320 --> 00:35:36,120
Speaker 1: number one best selling books and also hosts of his

529
00:35:36,239 --> 00:35:40,280
Speaker 1: podcast The Brief. Welcome both of you back to the program. Greg,

530
00:35:40,320 --> 00:35:43,439
Speaker 1: I'll start with you. It's a lot to unpack there. Yeah,

531
00:35:43,440 --> 00:35:50,279
Speaker 1: in terms of accessing Giuliani's iCloud, I would hope that

532
00:35:50,360 --> 00:35:53,359
Speaker 1: the government followed the law, and that means they asked

533
00:35:53,360 --> 00:35:57,680
Speaker 1: to obtain either a subpoena or a search warrant or

534
00:35:57,719 --> 00:36:00,880
Speaker 1: some other court order, take it to Apple and demand

535
00:36:00,920 --> 00:36:05,279
Speaker 1: they comply by opening up that account. Apple would then

536
00:36:05,360 --> 00:36:10,680
Speaker 1: have two courses of action. They could capitulate and it

537
00:36:10,719 --> 00:36:13,960
Speaker 1: could have been done covertly so that Giliani didn't even know,

538
00:36:14,680 --> 00:36:16,960
Speaker 1: or they could contest it in court. We have no

539
00:36:17,040 --> 00:36:23,080
Speaker 1: evidence that they ever did that. So the question then becomes, well,

540
00:36:23,360 --> 00:36:25,879
Speaker 1: if they already access to his iCloud. Why would they

541
00:36:25,960 --> 00:36:29,560
Speaker 1: seize his electronic devices and cell phone. Well, the answer

542
00:36:29,680 --> 00:36:32,920
Speaker 1: is not everything on your cell phone goes to the cloud.

543
00:36:33,400 --> 00:36:37,040
Speaker 1: It depends on how much you upload and when you

544
00:36:37,160 --> 00:36:42,200
Speaker 1: last uploaded it. So you know they as I said

545
00:36:42,200 --> 00:36:45,640
Speaker 1: to you last night on your television program, this smacks

546
00:36:45,680 --> 00:36:53,279
Speaker 1: of political persecution masquerading as a potential criminal prosecution. And

547
00:36:53,440 --> 00:36:57,560
Speaker 1: you can't do it against a lawyer who's not getting

548
00:36:57,560 --> 00:37:01,840
Speaker 1: paid by Ukrainian sources, but rather his client is President

549
00:37:01,840 --> 00:37:04,400
Speaker 1: of the United States. He's acting at the direction that

550
00:37:04,480 --> 00:37:07,440
Speaker 1: behest to the president, making him a de fact a

551
00:37:07,520 --> 00:37:11,480
Speaker 1: member of the administration, which means Ferret is an apply

552
00:37:11,640 --> 00:37:16,439
Speaker 1: and also as a lawyer, he's duty bound to conduct investigations,

553
00:37:16,520 --> 00:37:22,120
Speaker 1: fact finding, obtaining of evidence, collection of information from sources,

554
00:37:22,160 --> 00:37:26,759
Speaker 1: including sources abroad, then conveying that to his client. He's

555
00:37:26,840 --> 00:37:31,239
Speaker 1: the president's advocate, not a lobbyist. Well, let me get

556
00:37:31,280 --> 00:37:34,239
Speaker 1: to that question with David shown here and to me,

557
00:37:34,680 --> 00:37:38,400
Speaker 1: I think Professor Dershowitz's analysis and Greg I think agrees

558
00:37:38,440 --> 00:37:42,520
Speaker 1: with this that a subpoena would suffice in this case

559
00:37:43,200 --> 00:37:45,839
Speaker 1: not going to somebody's eye cloud or not a pre

560
00:37:45,960 --> 00:37:50,400
Speaker 1: dawn raid on Rudy Giuliani, the president's attorney. Yeah right.

561
00:37:50,480 --> 00:37:52,520
Speaker 1: And by the way, there are special subpoena rules when

562
00:37:52,520 --> 00:37:54,879
Speaker 1: an attorney's involved, and there has to be a tank

563
00:37:55,000 --> 00:37:57,600
Speaker 1: team in place to make sure they're not getting privileged

564
00:37:57,760 --> 00:37:59,279
Speaker 1: materials when they do it. But let's take a look

565
00:37:59,280 --> 00:38:03,080
Speaker 1: at the bigger picture. The bigger picture here is shameless vindictiveness.

566
00:38:03,200 --> 00:38:07,120
Speaker 1: Talk about turning things on their head Hunter boden of

567
00:38:07,280 --> 00:38:11,200
Speaker 1: evades meaningful investigation when even the Wall Street Journal had

568
00:38:11,200 --> 00:38:13,640
Speaker 1: called for that, had talked about the scandal years and

569
00:38:13,719 --> 00:38:15,799
Speaker 1: years ago. But I'm going to suggest this to you.

570
00:38:16,239 --> 00:38:21,480
Speaker 1: This administration is simply shamelessly vindictive. You know, President Trump

571
00:38:21,520 --> 00:38:25,080
Speaker 1: had every right and through his Attorney general, to really

572
00:38:25,120 --> 00:38:27,640
Speaker 1: thoroughly investigate and go after Hillary Clinton when he came

573
00:38:27,680 --> 00:38:30,719
Speaker 1: into office. One would suggest that she certainly committed a

574
00:38:30,760 --> 00:38:33,239
Speaker 1: crime with the destruction of the emails and the hard

575
00:38:33,320 --> 00:38:35,640
Speaker 1: drive and all that. But they made a decision, whether

576
00:38:35,640 --> 00:38:38,759
Speaker 1: political or otherwise, not to do that. This administration is

577
00:38:38,760 --> 00:38:41,400
Speaker 1: taking the opposite tack. And I'm going to say this

578
00:38:41,440 --> 00:38:43,080
Speaker 1: to you. You know, I don't want to be a

579
00:38:43,160 --> 00:38:45,239
Speaker 1: Johnny one note, But we've talked in the past about

580
00:38:45,239 --> 00:38:48,280
Speaker 1: Andrew Weisman, you have now in place the Deputy Attorney

581
00:38:48,280 --> 00:38:51,920
Speaker 1: General who signs off on things now like surveillance, warrens

582
00:38:51,920 --> 00:38:54,239
Speaker 1: and that sort of thing. Lisa Monico, who was an

583
00:38:54,320 --> 00:38:58,120
Speaker 1: Andrew Weisman colleague, she worked at the FBI under Mueller

584
00:38:58,200 --> 00:39:00,920
Speaker 1: as counsel like Weisman did. She was on the Enron

585
00:39:01,040 --> 00:39:03,399
Speaker 1: Task Force. These are the sort of folks now being

586
00:39:03,440 --> 00:39:06,480
Speaker 1: loaded into this administration. And when we talk about you know,

587
00:39:06,600 --> 00:39:12,000
Speaker 1: surveillance tactics and now this partnership for domestic terrorists, surveillance

588
00:39:12,040 --> 00:39:15,399
Speaker 1: supposedly circumventing the FIS accord and that sort of thing,

589
00:39:15,680 --> 00:39:19,239
Speaker 1: you have a cabinet and other administration officials who were

590
00:39:19,400 --> 00:39:23,319
Speaker 1: singly the most anti ally, especially anti Israel and pro

591
00:39:23,400 --> 00:39:27,440
Speaker 1: Iran figures we've ever had in government. Probably this is

592
00:39:27,480 --> 00:39:31,040
Speaker 1: a very scary situation we're facing. Well, it's beyond scary.

593
00:39:31,120 --> 00:39:33,799
Speaker 1: Now you have to wonder where do you think they're

594
00:39:33,840 --> 00:39:36,440
Speaker 1: going with this? It doesn't sound like Farah to me,

595
00:39:37,360 --> 00:39:41,360
Speaker 1: Greg Jarrett. If Verdi Giuliani as the President's attorney is

596
00:39:41,400 --> 00:39:45,920
Speaker 1: looking into what I thought was a slam dunk case

597
00:39:46,280 --> 00:39:50,720
Speaker 1: about leveraging a billion dollars to fire a prosecutor investigating

598
00:39:51,640 --> 00:39:56,080
Speaker 1: Joe Biden, then vice President's son, for getting millions with

599
00:39:56,160 --> 00:40:01,040
Speaker 1: no experience. That kind of sounds a syndicate to me,

600
00:40:01,480 --> 00:40:04,800
Speaker 1: it does. It sounds corrupt, doesn't it, which is a

601
00:40:05,200 --> 00:40:09,040
Speaker 1: classic you know, FBI Department of Justice. It's as if

602
00:40:09,120 --> 00:40:14,320
Speaker 1: James Cummy, Andrew McKay and Peter Struck never left the

603
00:40:14,440 --> 00:40:22,399
Speaker 1: vindictive actions. As my friend mister Shawen describes, it is

604
00:40:22,560 --> 00:40:25,480
Speaker 1: apparent for all to see where are they going for it?

605
00:40:25,520 --> 00:40:28,640
Speaker 1: I frankly think that this, you know, the seizure of

606
00:40:28,719 --> 00:40:34,480
Speaker 1: the electronic devices, they were using Farah as a pretext.

607
00:40:34,520 --> 00:40:38,000
Speaker 1: Farah doesn't apply to Giuliani under these circumstances. So what

608
00:40:38,040 --> 00:40:41,799
Speaker 1: are they doing. They're trying to dig up dirt. So

609
00:40:41,840 --> 00:40:44,080
Speaker 1: they used Farah as a pretext to get their hands

610
00:40:44,120 --> 00:40:51,600
Speaker 1: on Giuliani's electronic communications, hoping to find some other lawlessness

611
00:40:51,640 --> 00:40:55,040
Speaker 1: that might be evidence therein. Look, I've known Giuliani for

612
00:40:55,200 --> 00:40:58,600
Speaker 1: you know, twenty five thirty years. He is a careful,

613
00:40:58,680 --> 00:41:02,879
Speaker 1: scrupulous law You may disagree with his politics, some people do.

614
00:41:03,360 --> 00:41:07,560
Speaker 1: I haven't agree with his politics, but I doubt that

615
00:41:07,680 --> 00:41:11,560
Speaker 1: they'll find any evidence of wrongdoing on those devices. Well,

616
00:41:11,600 --> 00:41:13,640
Speaker 1: I don't think so either. I mean Rudy's a good

617
00:41:13,719 --> 00:41:16,680
Speaker 1: lawyer on top of everything else. And you know, this

618
00:41:16,800 --> 00:41:19,000
Speaker 1: goes back to a lot of the other cases too.

619
00:41:19,360 --> 00:41:22,400
Speaker 1: I mean the pre dawn raid with mantaphor, guns a blazon,

620
00:41:23,239 --> 00:41:28,600
Speaker 1: pre dawn raid for process crime, lying to Congress, Rogers

621
00:41:28,640 --> 00:41:33,440
Speaker 1: Stone and uh, you know, guns drawn frogmen in the backyard,

622
00:41:33,600 --> 00:41:36,719
Speaker 1: fake news, CNN cameras tipped off for the I mean

623
00:41:36,760 --> 00:41:39,759
Speaker 1: the whole bit for lying to Congress, the very same

624
00:41:39,800 --> 00:41:43,400
Speaker 1: referrals that went to top officials in the FBI, in

625
00:41:43,440 --> 00:41:46,480
Speaker 1: the in the Horowitz report, David Show, that's right, and

626
00:41:46,640 --> 00:41:49,239
Speaker 1: same people. And again you know Weisman's behind that. Now

627
00:41:49,239 --> 00:41:51,399
Speaker 1: you have this, Lisa Monica, as I say, but there

628
00:41:51,600 --> 00:41:53,440
Speaker 1: are a number of things driving this. And by the way,

629
00:41:53,480 --> 00:41:56,800
Speaker 1: remember we saw these opinion pieces by Weissman and others

630
00:41:57,239 --> 00:41:59,879
Speaker 1: a couple months ago already saying how the government could

631
00:42:00,080 --> 00:42:03,640
Speaker 1: should go after President Trump, go after Roger Stone. It's

632
00:42:03,800 --> 00:42:07,080
Speaker 1: never any battle. Instead of coming forward with positive policies,

633
00:42:07,320 --> 00:42:10,759
Speaker 1: it's this vindictiveness. It's taking people out of the game.

634
00:42:10,800 --> 00:42:14,239
Speaker 1: It's disenfranchising voters who would have voted for President Trump.

635
00:42:14,280 --> 00:42:17,960
Speaker 1: That sort of thing. That's what the impeachment was about,

636
00:42:18,040 --> 00:42:19,719
Speaker 1: you know. And that's what the effort to bar him

637
00:42:19,760 --> 00:42:22,800
Speaker 1: from ever running again. But you have here with Giuliani,

638
00:42:22,880 --> 00:42:26,000
Speaker 1: you have a couple of motivating factors. You have his

639
00:42:26,080 --> 00:42:28,920
Speaker 1: former clients to leave Parnis. I spoke on a panel

640
00:42:28,960 --> 00:42:31,840
Speaker 1: with his lawyer, talking on two different subjects, but his

641
00:42:31,960 --> 00:42:35,040
Speaker 1: lawyer was telling the group about how actively his client

642
00:42:35,200 --> 00:42:38,160
Speaker 1: is trying to so call cooperate with Congress to stick

643
00:42:38,200 --> 00:42:41,920
Speaker 1: it to Giuliani. So people have different political motivations here

644
00:42:41,960 --> 00:42:44,880
Speaker 1: all coming together. You know, well, you do, people, I

645
00:42:45,000 --> 00:42:48,480
Speaker 1: understand now. The Biden administration, also, by the way, is

646
00:42:48,520 --> 00:42:52,359
Speaker 1: considering using outside firms to track what they define as

647
00:42:52,440 --> 00:42:57,680
Speaker 1: extremist chatter by Americans online. That's a little bit chilling

648
00:42:57,719 --> 00:43:02,920
Speaker 1: to make. Greg Jarrett, Yeah, it's idiotic and a corrupt idea.

649
00:43:03,239 --> 00:43:06,759
Speaker 1: It's classic Joe Biden. I say corrupt because Biden is

650
00:43:06,800 --> 00:43:10,400
Speaker 1: deliberately seeking to circumvent the law that limits the government

651
00:43:10,600 --> 00:43:16,600
Speaker 1: from covertly surveilling citizens online, like assuming false identities to

652
00:43:16,680 --> 00:43:21,000
Speaker 1: gain access to private messaging, hacking encrypted apps to spy

653
00:43:21,160 --> 00:43:23,759
Speaker 1: and tea people. Under the law, the Feds can only

654
00:43:23,800 --> 00:43:28,759
Speaker 1: browse unprotected social media conversations. They're not allowed to infiltrate

655
00:43:28,880 --> 00:43:33,799
Speaker 1: private messaging without a warrant based on probable cause. So

656
00:43:33,840 --> 00:43:37,439
Speaker 1: what is the Biden administration now thinking about doing well?

657
00:43:37,480 --> 00:43:42,920
Speaker 1: Outsourcing delegating the surveillance outside groups who were not legally

658
00:43:42,960 --> 00:43:46,680
Speaker 1: constrained by the Constitution under the Fourth Amendment search and

659
00:43:46,840 --> 00:43:51,120
Speaker 1: seizure rules. This is a sleazy maneuver. It violates the

660
00:43:51,200 --> 00:43:56,760
Speaker 1: spirit of federal law prohibits that prohibits domestic spine without

661
00:43:56,760 --> 00:44:01,360
Speaker 1: a valid warrant. This is another appalling example, Sean, of

662
00:44:01,440 --> 00:44:08,240
Speaker 1: the devious, malevolent tactics that our intelligence agencies employ against

663
00:44:08,280 --> 00:44:12,800
Speaker 1: its own citizens, violating their privacy rights and their civil liberties.

664
00:44:12,880 --> 00:44:16,680
Speaker 1: It's smacks of facism, all right, powerful words. David Show

665
00:44:16,719 --> 00:44:20,440
Speaker 1: and Greg Jarrett will continue to follow this. It's amazing

666
00:44:20,480 --> 00:44:23,279
Speaker 1: though none of the people that got referrals, none of

667
00:44:23,280 --> 00:44:26,560
Speaker 1: the people involved a premeditated fraud, and the fires a court,

668
00:44:26,719 --> 00:44:31,400
Speaker 1: no consequences whatsoever. Really sad and it makes you, you know,

669
00:44:31,520 --> 00:44:34,560
Speaker 1: feel like we don't have equal justice or application of

670
00:44:34,600 --> 00:44:36,880
Speaker 1: our laws. At twenty five to the top of the hour,

671
00:44:36,960 --> 00:44:39,160
Speaker 1: eight hundred nine four one, Sean, you want to be

672
00:44:39,160 --> 00:44:41,520
Speaker 1: a part of the program. You know, I've said this before.

673
00:44:41,640 --> 00:44:45,080
Speaker 1: It is amazing the anger that has come out against

674
00:44:45,200 --> 00:44:48,960
Speaker 1: James Carville. James Carville, I've had actually I've had fun

675
00:44:49,200 --> 00:44:52,160
Speaker 1: debating him a number of times. He's actually a fun

676
00:44:52,200 --> 00:44:55,680
Speaker 1: guy to be around. He loves I mean, he loves

677
00:44:56,000 --> 00:44:59,400
Speaker 1: LSU Tiger football. Oh my gosh. Actually, there was a

678
00:44:59,440 --> 00:45:01,880
Speaker 1: speech before for a championship game was supposed to be

679
00:45:01,960 --> 00:45:04,879
Speaker 1: a debate between me and him one year, and all

680
00:45:04,960 --> 00:45:08,560
Speaker 1: he talked about was football, football, football, and that's all

681
00:45:08,600 --> 00:45:10,680
Speaker 1: the crowd wanted to talk about. So I'm like, all right,

682
00:45:10,719 --> 00:45:13,719
Speaker 1: I give up. I just sat down and I got

683
00:45:13,840 --> 00:45:16,360
Speaker 1: entertained and paid at the same time. It said, fine,

684
00:45:16,800 --> 00:45:18,720
Speaker 1: I don't have to work. It was It was pretty

685
00:45:18,719 --> 00:45:21,520
Speaker 1: funny moment. And but one thing that he is not

686
00:45:21,840 --> 00:45:24,200
Speaker 1: is stupid. The one thing that I think Bill Clinton

687
00:45:24,239 --> 00:45:27,760
Speaker 1: did that was smart his entire campaign and his entire

688
00:45:28,239 --> 00:45:31,920
Speaker 1: presidency and his entire post presidency is he had a

689
00:45:32,600 --> 00:45:35,640
Speaker 1: kitchen cabinet not people I agree with, some of whom

690
00:45:35,680 --> 00:45:39,359
Speaker 1: I don't even like. But it included carvillho I do like.

691
00:45:39,960 --> 00:45:44,640
Speaker 1: It included Begala, and it included ram Rambo, Deadfish, It

692
00:45:44,719 --> 00:45:48,839
Speaker 1: included Georgie Stephanopolis. And every day they went over the

693
00:45:48,880 --> 00:45:52,000
Speaker 1: message of the day and had a deal with whatever

694
00:45:52,640 --> 00:45:57,600
Speaker 1: controversy might be emerging, especially during impeachment Monica Lewinsky. I

695
00:45:57,719 --> 00:46:00,239
Speaker 1: did not have sex with that woman on a single time.

696
00:46:00,239 --> 00:46:02,440
Speaker 1: I'm gonna get back to work for the American people

697
00:46:02,640 --> 00:46:06,240
Speaker 1: and all that sort of thing. Here's Carvill. It's fascinating

698
00:46:06,280 --> 00:46:08,080
Speaker 1: to me because I think this is going to be

699
00:46:08,480 --> 00:46:12,359
Speaker 1: far bigger in the minds of the American people in

700
00:46:12,520 --> 00:46:18,720
Speaker 1: terms of the backlash against woke ism. Cancel cultureism. Listen.

701
00:46:18,960 --> 00:46:21,759
Speaker 1: In my view, if you want to in politics, you

702
00:46:21,760 --> 00:46:24,720
Speaker 1: should speak the language of the people. You should speak clear,

703
00:46:25,000 --> 00:46:28,879
Speaker 1: direct English and address people as they address each other,

704
00:46:29,120 --> 00:46:32,360
Speaker 1: not like the Humanities Department at Amherst wants you to

705
00:46:32,400 --> 00:46:38,640
Speaker 1: address everybody. Is this the kind of an issue? Is

706
00:46:38,680 --> 00:46:41,120
Speaker 1: this the kind of an issue, James? That is impossible

707
00:46:41,200 --> 00:46:44,280
Speaker 1: to poll because people are gonna lie to a poster,

708
00:46:44,360 --> 00:46:46,360
Speaker 1: But when they go in there and they close that curtain,

709
00:46:46,560 --> 00:46:48,480
Speaker 1: they're going to do what they want to do. I

710
00:46:48,480 --> 00:46:51,279
Speaker 1: don't have to poll all right. After the twenty twenty

711
00:46:51,360 --> 00:46:54,520
Speaker 1: congressional elections, it was a huge eruption in the Democratic

712
00:46:54,560 --> 00:46:59,200
Speaker 1: Caucus where people correctly pointed out that this whole defund

713
00:46:59,280 --> 00:47:02,719
Speaker 1: the police cost US congressional seats I can look at

714
00:47:02,719 --> 00:47:06,080
Speaker 1: the voting results and the Rio Grand Valley, I can

715
00:47:06,080 --> 00:47:08,560
Speaker 1: look at the voting results in Miami day, I can

716
00:47:08,840 --> 00:47:12,839
Speaker 1: relate conversations that I have with people every day. People

717
00:47:13,000 --> 00:47:16,440
Speaker 1: want to live like they're scared to address an issue

718
00:47:16,480 --> 00:47:20,440
Speaker 1: because it might come out the wrong way, and no

719
00:47:20,480 --> 00:47:24,200
Speaker 1: one is using their language except for you know, some

720
00:47:24,280 --> 00:47:26,440
Speaker 1: of our people on television. If you go to and

721
00:47:26,560 --> 00:47:29,160
Speaker 1: if you need Walton, let's just go listen to NPR. Yeah,

722
00:47:29,320 --> 00:47:31,680
Speaker 1: I'll leave it out of my truck radio so I'll

723
00:47:31,719 --> 00:47:35,960
Speaker 1: never fall asleep. You gotta admit that's pretty funny, and

724
00:47:36,080 --> 00:47:39,000
Speaker 1: James Carvel's not dumb, and I think, but it's only

725
00:47:39,040 --> 00:47:41,839
Speaker 1: getting worse. You know. It was very very telling as

726
00:47:41,920 --> 00:47:45,560
Speaker 1: we were leading into the joint speech before Congress of

727
00:47:46,320 --> 00:47:51,360
Speaker 1: Joe Biden, how every squad member, led by Congresswoman Actio

728
00:47:51,480 --> 00:47:54,880
Speaker 1: Quartez Alexandria Cossio Quartez, the real Speaker of the House,

729
00:47:55,440 --> 00:47:59,000
Speaker 1: Pelosi speaker in name only, is that they all took

730
00:47:59,000 --> 00:48:02,200
Speaker 1: credit for jose agenda. And the reality is the truth

731
00:48:02,360 --> 00:48:06,200
Speaker 1: is she's right, and so is Congresswoman Omar and Congresswoman

732
00:48:06,280 --> 00:48:09,720
Speaker 1: Pressley and other squad members, and they're all patting themselves

733
00:48:09,760 --> 00:48:12,000
Speaker 1: on the back because they know they're setting the agenda.

734
00:48:12,040 --> 00:48:16,480
Speaker 1: Bernie Sanders knows probably he couldn't have gotten his agenda

735
00:48:16,520 --> 00:48:20,160
Speaker 1: this far had he been elected. And I think they're

736
00:48:20,200 --> 00:48:23,960
Speaker 1: actually shocked by it. But the backlash to it, all

737
00:48:24,600 --> 00:48:31,440
Speaker 1: the reckless spending, the policies that are job killing, it's

738
00:48:31,560 --> 00:48:37,040
Speaker 1: never going to work, and it is a guarantee whiplash

739
00:48:37,080 --> 00:48:40,280
Speaker 1: in terms of a political earthquake in the other direction.

740
00:48:40,320 --> 00:48:42,200
Speaker 1: That's what the result of all of this is going

741
00:48:42,280 --> 00:48:44,640
Speaker 1: to be. By the way, Linda, you know what everyone

742
00:48:44,800 --> 00:48:48,759
Speaker 1: keeps asking me about, why does Why is Linda? Why

743
00:48:48,840 --> 00:48:51,680
Speaker 1: won't she let her child be normal and have a

744
00:48:51,719 --> 00:48:55,120
Speaker 1: happy meal? Everywhere I go everyone's asking about little Liam

745
00:48:55,160 --> 00:48:58,200
Speaker 1: and why poor little Liam? And it doesn't get a

746
00:48:58,200 --> 00:49:01,320
Speaker 1: happy meal. Never had a happy meal. It's five years old.

747
00:49:01,640 --> 00:49:05,200
Speaker 1: Little Liam wants a happy meal, and they're actually asking

748
00:49:05,239 --> 00:49:08,000
Speaker 1: me to see if I can have an intervention with you,

749
00:49:08,320 --> 00:49:11,240
Speaker 1: an intervention. First of all, who wants to be normal?

750
00:49:11,560 --> 00:49:14,480
Speaker 1: Can we start there? Nobody wants to be normal. My

751
00:49:14,600 --> 00:49:18,799
Speaker 1: child is he's exceptional. Well, exceptional child does not when

752
00:49:18,840 --> 00:49:21,000
Speaker 1: heat chicken nuggets from McDonald's. He wants to eat my

753
00:49:21,040 --> 00:49:23,680
Speaker 1: air fryer chicken. Okay, but he's never he has nothing

754
00:49:23,719 --> 00:49:28,000
Speaker 1: to compare it to. There's no baseline comparison. He's never

755
00:49:28,080 --> 00:49:30,879
Speaker 1: had a McDonald's French fry in his life. This poor kid.

756
00:49:31,280 --> 00:49:33,279
Speaker 1: So do you remember this from your parents When you

757
00:49:33,320 --> 00:49:35,600
Speaker 1: were a kid, they used to say, be happy with

758
00:49:35,640 --> 00:49:37,520
Speaker 1: what you got, and then when you get older, you

759
00:49:37,520 --> 00:49:39,680
Speaker 1: realize that you were content with those things because you

760
00:49:39,760 --> 00:49:42,200
Speaker 1: never had the other things. So if he makes a

761
00:49:42,239 --> 00:49:45,359
Speaker 1: decision when he's, you know, a teenager, that he wants

762
00:49:45,360 --> 00:49:49,920
Speaker 1: to fill his body with toxin, that's his decision. Okay,

763
00:49:49,960 --> 00:49:51,799
Speaker 1: So you're not going to let this kid wat till

764
00:49:51,800 --> 00:49:56,799
Speaker 1: he's twenty one make the decision that he can have McDonald's. Basically, yeah,

765
00:49:56,880 --> 00:49:59,719
Speaker 1: an informed decision. See, I know what goes in those

766
00:49:59,800 --> 00:50:04,160
Speaker 1: chick and nuggets. I've cut them open. It's disgusting. I'm sorry.

767
00:50:04,600 --> 00:50:06,520
Speaker 1: I think that the audience agrees with me. They're just

768
00:50:06,560 --> 00:50:08,920
Speaker 1: afraid to say it out loud. No, that doesn't mean no, no, no,

769
00:50:08,960 --> 00:50:10,880
Speaker 1: the audience did not agree with you. We had a

770
00:50:10,920 --> 00:50:14,319
Speaker 1: pole upon Hannity dot Com. I want eighty five to

771
00:50:14,440 --> 00:50:17,400
Speaker 1: fifteen percent. I think that that pole is biased. Do

772
00:50:17,440 --> 00:50:19,960
Speaker 1: you want to know why the poll was not biased.

773
00:50:20,680 --> 00:50:26,440
Speaker 1: The pole was on the Sean Hannity website based up show. Okay,

774
00:50:26,600 --> 00:50:30,279
Speaker 1: you know against me. Remember when I wanted to run

775
00:50:30,320 --> 00:50:33,719
Speaker 1: the tape of Leo two point z Terrell. Oh that's true.

776
00:50:33,760 --> 00:50:35,960
Speaker 1: You did lose that one time? Lost it. I mean

777
00:50:36,040 --> 00:50:38,399
Speaker 1: I wanted to run out of the tapes when Leo

778
00:50:38,960 --> 00:50:41,360
Speaker 1: used to I used to piss him off so much

779
00:50:41,840 --> 00:50:43,879
Speaker 1: that he would rip off his mic and rip out

780
00:50:43,920 --> 00:50:47,399
Speaker 1: his earpiece and he'd walk off the show. So funny story.

781
00:50:47,480 --> 00:50:48,879
Speaker 1: So you know, Leo and I are good friends. We've

782
00:50:48,920 --> 00:50:50,360
Speaker 1: known each other as long as he's been coming on

783
00:50:50,360 --> 00:50:52,080
Speaker 1: the show, as long as I've been working here almost

784
00:50:52,120 --> 00:50:55,279
Speaker 1: seventeen years. Scary and uh, it was really funny. I

785
00:50:55,360 --> 00:50:56,680
Speaker 1: was talking to him the other day and he goes,

786
00:50:56,800 --> 00:50:58,719
Speaker 1: remember when I hung up on you. I'm like, oh, yeah,

787
00:50:58,800 --> 00:51:00,520
Speaker 1: I remember those days. I mean I used to like

788
00:51:00,600 --> 00:51:02,239
Speaker 1: he'd have guest thing that's he gets so many He's like,

789
00:51:02,239 --> 00:51:03,920
Speaker 1: I can't even talk to you, Linda. He'd hang up

790
00:51:04,320 --> 00:51:06,839
Speaker 1: like so many times. And now he's like, I'm so

791
00:51:06,840 --> 00:51:09,200
Speaker 1: sorry I did. I'll never do that again. Well, I

792
00:51:09,239 --> 00:51:11,160
Speaker 1: mean it's such a good dude. I bet you he

793
00:51:11,160 --> 00:51:14,480
Speaker 1: doesn't need McDonald's I bet she probably does he McDonald's.

794
00:51:14,480 --> 00:51:16,120
Speaker 1: I bet you he does not. Look we'll do a

795
00:51:16,160 --> 00:51:18,680
Speaker 1: quick poll here, all right, now, don't hang up after

796
00:51:18,760 --> 00:51:21,080
Speaker 1: we ask one question. John and Missouri, do you like

797
00:51:21,280 --> 00:51:23,880
Speaker 1: McDonald's Do you like fast Wendy's? You like fast food?

798
00:51:24,239 --> 00:51:27,839
Speaker 1: I try not to, but it's not a matter of try.

799
00:51:27,840 --> 00:51:29,680
Speaker 1: I try not to too, but you do like it.

800
00:51:30,920 --> 00:51:32,759
Speaker 1: I should come to it, and I enjoy it when

801
00:51:32,760 --> 00:51:35,399
Speaker 1: I ask you. All right, John, stay right there, we'll

802
00:51:35,440 --> 00:51:37,239
Speaker 1: get back to it. Tony and Iowa. Do you like

803
00:51:37,360 --> 00:51:39,880
Speaker 1: fast food? Do you like McDonald's. Well, I eat a

804
00:51:39,920 --> 00:51:42,359
Speaker 1: one that it has all emo teenagers working there. They

805
00:51:42,400 --> 00:51:45,200
Speaker 1: call it the unhappy meal, but a special No, I don't,

806
00:51:47,560 --> 00:51:49,320
Speaker 1: but you know that's funny, right. Do you like a

807
00:51:49,400 --> 00:51:53,040
Speaker 1: quarter pounder which cheese once in a while French fries? Yeah? Yeah,

808
00:51:53,040 --> 00:51:55,839
Speaker 1: I do. Well, I don't know why everyone's so apologetic.

809
00:51:55,880 --> 00:51:57,960
Speaker 1: It's not a big deal. I'm admitting I love it.

810
00:51:58,360 --> 00:52:01,560
Speaker 1: Lou in Florida, do you like McDonald yay? Sean? Yeah,

811
00:52:01,560 --> 00:52:03,280
Speaker 1: As a kid, I loved it. I got a chance

812
00:52:03,320 --> 00:52:07,200
Speaker 1: to eat it. But now I'm a vegetarian. Oh, she's

813
00:52:07,239 --> 00:52:10,440
Speaker 1: probably side. Now. I'm so sorry to hear about that.

814
00:52:10,840 --> 00:52:13,440
Speaker 1: Hang on, LOUI, we'll get back to you. Thomas in Texas,

815
00:52:13,440 --> 00:52:16,400
Speaker 1: do you like McDonald's fast food Wendy's because I liked

816
00:52:16,440 --> 00:52:20,880
Speaker 1: them all. I'm a physician, part of the obesity pandemic

817
00:52:20,920 --> 00:52:23,120
Speaker 1: and wish i'd never eating fast food? Do you really

818
00:52:23,360 --> 00:52:25,680
Speaker 1: want that? For little Liam, who seems I think I

819
00:52:25,719 --> 00:52:29,040
Speaker 1: didn't ask about talking about an obesity problem. I'm asking.

820
00:52:29,840 --> 00:52:32,680
Speaker 1: He's a physician. You can't argue with him. Do you

821
00:52:32,840 --> 00:52:36,440
Speaker 1: like to eat an occasional quarter pounder with cheese or

822
00:52:36,880 --> 00:52:40,359
Speaker 1: a single or double with cheese from Wendy's. We all

823
00:52:40,360 --> 00:52:43,960
Speaker 1: like things we shouldn't have. Thank you, doctor likes it.

824
00:52:44,760 --> 00:52:47,759
Speaker 1: That's another vote for me. Becky in Michigan? Do you

825
00:52:47,960 --> 00:52:54,759
Speaker 1: like fast food like Wendy's, McDonald's pizza, all the fun stuff? Yeah? Absolutely?

826
00:52:54,960 --> 00:52:59,240
Speaker 1: And Kentucky Fried Chicken original recipe? Right, that's right? Yeah,

827
00:52:59,320 --> 00:53:03,560
Speaker 1: all that off once in a while. Thank you. That

828
00:53:03,719 --> 00:53:06,800
Speaker 1: is five for five. I'm not gonna go any further.

829
00:53:07,000 --> 00:53:09,680
Speaker 1: I can, but I won't because I already won't. It's

830
00:53:09,680 --> 00:53:14,600
Speaker 1: a different question. Nobody asking the questioning puke green shakes

831
00:53:14,680 --> 00:53:17,560
Speaker 1: that you're eating every day or the disgusting orange shakes

832
00:53:17,600 --> 00:53:20,080
Speaker 1: that you eat every day. They're as discussed, they're just

833
00:53:20,160 --> 00:53:23,960
Speaker 1: as disgusting. First of all, you're not asking the right question.

834
00:53:24,080 --> 00:53:28,040
Speaker 1: The question is not do we like you know, fast food?

835
00:53:28,080 --> 00:53:31,120
Speaker 1: The question is not you know, do we like constant politans?

836
00:53:31,120 --> 00:53:33,239
Speaker 1: Do we like beer? This is not the question. The

837
00:53:33,320 --> 00:53:35,520
Speaker 1: question is is it good for you? And would you

838
00:53:35,520 --> 00:53:39,520
Speaker 1: give it to your kid? Well, it's a different question. Well,

839
00:53:39,560 --> 00:53:41,840
Speaker 1: hang on, it's not. It's not a big deal for

840
00:53:41,880 --> 00:53:43,920
Speaker 1: a kid to have a stupid happy meal once in

841
00:53:43,960 --> 00:53:46,920
Speaker 1: a while. Yes, it is because your body. Did you

842
00:53:46,920 --> 00:53:51,319
Speaker 1: ever see that documentary Supersize Me? Yeah, okay, I see.

843
00:53:51,680 --> 00:53:55,160
Speaker 1: That means I'm right stupid, but it's stupid. That's the

844
00:53:55,200 --> 00:53:58,160
Speaker 1: one where the guy ate McDonald's morning every day for

845
00:53:58,280 --> 00:54:02,080
Speaker 1: thirty days. Okay, I'm not talking about every meal every

846
00:54:02,160 --> 00:54:05,600
Speaker 1: day for thirty days. I gained forty five pounds if

847
00:54:05,640 --> 00:54:08,200
Speaker 1: I ever did that, right, So, what I'm saying is, though,

848
00:54:08,280 --> 00:54:10,799
Speaker 1: is if you can keep your kid's body pure and

849
00:54:10,880 --> 00:54:14,279
Speaker 1: not give them these things, their body never ever wants it.

850
00:54:14,320 --> 00:54:16,759
Speaker 1: They never acclimate to it. You know, my son has

851
00:54:16,840 --> 00:54:18,839
Speaker 1: no idea what the stuff is. It's the best thing

852
00:54:18,840 --> 00:54:21,560
Speaker 1: in the world. Okay, quick break, we'll come back on

853
00:54:21,600 --> 00:54:25,040
Speaker 1: the other side. And now I'm in the mood for

854
00:54:25,160 --> 00:54:27,399
Speaker 1: a quarter pound of a cheese French fry and a coke.

855
00:54:27,800 --> 00:54:31,160
Speaker 1: All right, as we continue, or a little discussion about McDonald's. Here.

856
00:54:31,760 --> 00:54:33,879
Speaker 1: One day, when you're not looking, I'm taking that kid.

857
00:54:33,920 --> 00:54:41,040
Speaker 1: I'm gonna I'm gonna snatch did you air really? Uncle

858
00:54:41,080 --> 00:54:44,120
Speaker 1: Sean's gonna snatch the kid for an hour and get

859
00:54:44,200 --> 00:54:47,239
Speaker 1: him a happy Meal and just just gonna say, just

860
00:54:47,280 --> 00:54:49,680
Speaker 1: don't tell mom, and he'll be home playing with his

861
00:54:49,760 --> 00:54:52,680
Speaker 1: happy Meal toy of Ronald. See. Look, this is the

862
00:54:52,680 --> 00:54:55,239
Speaker 1: difference between you and me. Like when we were down

863
00:54:55,320 --> 00:54:56,799
Speaker 1: and we were in West Palm and we were doing

864
00:54:56,840 --> 00:54:58,440
Speaker 1: the interviews, and I was like, okay, I want to

865
00:54:58,480 --> 00:55:01,160
Speaker 1: buy one toy for my son. And you go in

866
00:55:01,200 --> 00:55:05,240
Speaker 1: and you're like pulling the whole shelf you and sweet

867
00:55:05,280 --> 00:55:07,640
Speaker 1: baby Book. No, that's not what happened. It was me

868
00:55:08,560 --> 00:55:11,520
Speaker 1: and sweet baby James and we had finished the trip.

869
00:55:11,719 --> 00:55:15,080
Speaker 1: I'm exhausted, and you say, and I said, you guys,

870
00:55:15,120 --> 00:55:17,520
Speaker 1: stop a Target and go get a toy for Liam.

871
00:55:17,560 --> 00:55:20,759
Speaker 1: And I said, I said, I'm stopping at Target. You

872
00:55:20,800 --> 00:55:23,120
Speaker 1: said you were, You said you wanted to stop at Target.

873
00:55:23,160 --> 00:55:25,920
Speaker 1: You had promised to get Liam a toy get him

874
00:55:25,920 --> 00:55:28,399
Speaker 1: a toy train. We stopped at Target. Okay, we all

875
00:55:28,440 --> 00:55:30,680
Speaker 1: go in, all four of us. Me. You No, you're

876
00:55:30,760 --> 00:55:33,239
Speaker 1: leaving out the part. Wait a minute, you leave it

877
00:55:33,239 --> 00:55:35,720
Speaker 1: out a critical part, which is where I said, please

878
00:55:35,760 --> 00:55:39,880
Speaker 1: don't come in with me, go by. I like to

879
00:55:39,920 --> 00:55:42,279
Speaker 1: go shopping. No, you like to rush people, just like

880
00:55:42,320 --> 00:55:46,920
Speaker 1: you rushed inside. We find the toy section. Then when

881
00:55:46,920 --> 00:55:50,280
Speaker 1: we find the toy section, it's got like twenty different

882
00:55:50,360 --> 00:55:53,879
Speaker 1: styles of trains, and Linda has to pick up and

883
00:55:54,000 --> 00:55:58,200
Speaker 1: touch and play with and price out every single freaking

884
00:55:58,360 --> 00:56:02,400
Speaker 1: train to that's right. Forty minutes and finally I had

885
00:56:02,440 --> 00:56:06,160
Speaker 1: had enough and I've got a cart, and I bought

886
00:56:06,239 --> 00:56:08,960
Speaker 1: all the trains and I threw them in the basket

887
00:56:09,040 --> 00:56:11,520
Speaker 1: and I said, let's go. You can decide later give

888
00:56:11,560 --> 00:56:14,160
Speaker 1: them all to the kid. Just so you know, America,

889
00:56:14,719 --> 00:56:18,720
Speaker 1: forty minutes in Sean Hannity Land is like about three minutes.

890
00:56:18,760 --> 00:56:21,120
Speaker 1: And everyone else's he has the patience that I named

891
00:56:21,239 --> 00:56:23,920
Speaker 1: my daughter with Daddy Daughter Day. Of course, I know,

892
00:56:24,040 --> 00:56:27,600
Speaker 1: why don't you remind the audience? Okay, the deal was

893
00:56:27,680 --> 00:56:30,839
Speaker 1: she got to eat anywhere she wanted. Daddy Daughter Day right,

894
00:56:30,880 --> 00:56:34,279
Speaker 1: and then we then we go to the mall. I say,

895
00:56:34,320 --> 00:56:36,520
Speaker 1: now you can pick one store. I don't care what

896
00:56:36,640 --> 00:56:39,480
Speaker 1: store it is. You have ten if I was very

897
00:56:39,480 --> 00:56:42,960
Speaker 1: patient that day, fifteen minutes, get whatever you want. Then

898
00:56:42,960 --> 00:56:44,960
Speaker 1: we're leaving. We're getting out of here. You knew patience

899
00:56:45,040 --> 00:56:48,239
Speaker 1: is a virtue, right, that's patient. Some days I had fifty,

900
00:56:48,280 --> 00:56:49,960
Speaker 1: I gave fifteen minute and now it was funny. She

901
00:56:50,120 --> 00:56:53,760
Speaker 1: was like agonizing over picking out one toy, one whatever

902
00:56:53,800 --> 00:56:56,239
Speaker 1: it was, and it would be like then finally one

903
00:56:56,280 --> 00:56:57,840
Speaker 1: day I brought her friends and said they can do

904
00:56:57,880 --> 00:57:00,560
Speaker 1: it too, and they're like, well, if you're gonna give

905
00:57:00,560 --> 00:57:04,719
Speaker 1: them fifty's full of crap and that like loading up.

906
00:57:04,760 --> 00:57:07,600
Speaker 1: They're not looking at anything except just as much as

907
00:57:07,600 --> 00:57:09,920
Speaker 1: they can touch in ten minutes. They should have just

908
00:57:09,960 --> 00:57:15,400
Speaker 1: gotten a gift card and maxed it out. That that's

909
00:57:15,440 --> 00:57:17,680
Speaker 1: not fun, Yeah, but it was. It's the fun part

910
00:57:17,720 --> 00:57:19,400
Speaker 1: that they get to hand. You should just make a

911
00:57:19,480 --> 00:57:22,280
Speaker 1: Hannity happy meal, just buy gifts, sent it to Linda's

912
00:57:22,280 --> 00:57:25,640
Speaker 1: house and she can give a gift with actual edible

913
00:57:25,720 --> 00:57:29,160
Speaker 1: food to Liam. She always wanted to go to Subway,

914
00:57:29,480 --> 00:57:32,480
Speaker 1: and Subway's okay. I don't love a way. But every

915
00:57:32,480 --> 00:57:36,320
Speaker 1: time I'd be like, no, but they have healthy options nothing.

916
00:57:37,560 --> 00:57:39,520
Speaker 1: She'd order a real meal, I don't know, maybe a

917
00:57:39,560 --> 00:57:41,920
Speaker 1: steak or whatever she's eating. And then I said, well,

918
00:57:41,920 --> 00:57:43,320
Speaker 1: what do you want for dessert? She goes, Dad, They're

919
00:57:43,360 --> 00:57:46,280
Speaker 1: too expensive. I'm like, good grief. Did you eat McDonald's

920
00:57:46,280 --> 00:57:50,200
Speaker 1: when you wear a kitchln? Yes? Of course I did.

921
00:57:49,280 --> 00:57:53,760
Speaker 1: Did was opened in Franklin Square. The local Penny Saver

922
00:57:54,760 --> 00:58:01,240
Speaker 1: had a free large McDonald's french fries. And this is terrible.

923
00:58:01,480 --> 00:58:04,920
Speaker 1: I'm gonna confess these statute of limitations along past. But

924
00:58:05,000 --> 00:58:08,040
Speaker 1: me and my friends we walked around the neighborhood and

925
00:58:08,040 --> 00:58:11,280
Speaker 1: stole every penny Saver we could and we used that

926
00:58:11,440 --> 00:58:18,160
Speaker 1: Oh he did that freak large McDonald's french fry. I mean,

927
00:58:18,480 --> 00:58:21,320
Speaker 1: I'm probably in the course of three weeks that's all

928
00:58:21,360 --> 00:58:24,160
Speaker 1: I lived on was McDonald's french fries. And it was great.

929
00:58:24,960 --> 00:58:27,960
Speaker 1: I loved it. I have to say, I'm looking up

930
00:58:28,000 --> 00:58:32,200
Speaker 1: the stats on chicken nuggets McDonald's chicken nuggets. Excuse me,

931
00:58:33,560 --> 00:58:38,360
Speaker 1: this is h stirical. The burger happy meal. No, kids,

932
00:58:38,520 --> 00:58:40,920
Speaker 1: my son doesn't eat cheeseburgers. He eats chicken nuggets. I

933
00:58:40,920 --> 00:58:42,360
Speaker 1: don't know a lot of kids who eat burgers, not

934
00:58:42,400 --> 00:58:44,400
Speaker 1: at least not in my neighborhood. Not with my kids.

935
00:58:44,440 --> 00:58:47,200
Speaker 1: I mean they love chicken nuggets and French fries and

936
00:58:47,480 --> 00:58:51,520
Speaker 1: or pizza, pizza, and that's it. And that's that's all

937
00:58:51,560 --> 00:58:54,200
Speaker 1: my child is eating. Occasionally I get cheesy broccoli in there.

938
00:58:54,240 --> 00:58:56,960
Speaker 1: So we're doing the interview with Caitlin Jenner tomorrow and uh,

939
00:58:57,160 --> 00:59:01,040
Speaker 1: are you gonna offer a McDonald's. No, No, it's it's

940
00:59:01,040 --> 00:59:03,439
Speaker 1: all in and out burger. How long have you worked

941
00:59:03,440 --> 00:59:05,920
Speaker 1: for me for crying out loud? Too long? Well, you

942
00:59:05,920 --> 00:59:07,720
Speaker 1: didn't know it was in an outbreak. I'm gonna get

943
00:59:07,760 --> 00:59:09,360
Speaker 1: off the plane and just say, can you take me

944
00:59:09,360 --> 00:59:11,560
Speaker 1: to the nearest in and out burger? Please? You know

945
00:59:11,600 --> 00:59:13,640
Speaker 1: it would be a great video, you and Caitlyn going

946
00:59:13,680 --> 00:59:17,920
Speaker 1: together and ordering together. I'd be glad, Tod that's good.

947
00:59:18,160 --> 00:59:20,040
Speaker 1: Then I'll get get accused of the media paying for

948
00:59:20,080 --> 00:59:26,960
Speaker 1: an interview. Did you watchnes Caitlyn Jenner? And what's that?

949
00:59:27,800 --> 00:59:30,720
Speaker 1: Where's the fec when you need him? Right? Well, that's true,

950
00:59:30,800 --> 00:59:32,680
Speaker 1: All right, Well we wasted a lot of time anyway.

951
00:59:32,760 --> 00:59:35,560
Speaker 1: All right, we're gonna get to these calls. I promised John, Tony,

952
00:59:35,680 --> 00:59:38,480
Speaker 1: Lou Thomas, and Becky. We're gonna get to you. I promise.

953
00:59:38,560 --> 00:59:40,640
Speaker 1: Eight hundred and nine four one Sean is our number.

954
00:59:41,000 --> 00:59:43,840
Speaker 1: Quick break right back, all right, duds, found up information

955
00:59:43,880 --> 00:59:46,480
Speaker 1: overload our Sean Hannity Show. I promise your calls bottom

956
00:59:46,480 --> 00:59:48,840
Speaker 1: of this half hour, eight hundred and nine four one Sean.

957
00:59:49,000 --> 00:59:51,520
Speaker 1: You want to be a part of this extravaganza. Joe

958
00:59:51,560 --> 00:59:55,680
Speaker 1: Concha is with us? Well? I mean when the Washington Post,

959
00:59:56,720 --> 01:00:00,720
Speaker 1: NBC News, New York Times get this same story on

960
01:00:00,880 --> 01:00:04,000
Speaker 1: Rudy wrong, and they got it from the same source.

961
01:00:04,680 --> 01:00:08,640
Speaker 1: What does that tell you? Joe Concha, media expert columnist

962
01:00:08,720 --> 01:00:11,480
Speaker 1: at The Hill on the media, and of course Fox News,

963
01:00:12,240 --> 01:00:18,680
Speaker 1: a fellow Fox News employee, Sir amazing Sean, that again

964
01:00:18,720 --> 01:00:22,280
Speaker 1: and again we have the Russian narrative rearing its ugly head.

965
01:00:22,560 --> 01:00:24,880
Speaker 1: We saw it, as you said, for three years, with

966
01:00:24,920 --> 01:00:28,200
Speaker 1: all those allegations of Russia collusion, and even right before

967
01:00:28,240 --> 01:00:32,600
Speaker 1: election day remember that story about bounties on US soldiers

968
01:00:32,600 --> 01:00:36,520
Speaker 1: by the Russians and the Taliband carrying that out. And

969
01:00:36,560 --> 01:00:40,000
Speaker 1: then later, only later, only after all the votes were casting,

970
01:00:40,520 --> 01:00:43,560
Speaker 1: did we actually see any sort of retraction, Because what

971
01:00:43,560 --> 01:00:46,120
Speaker 1: does it matter at that point, right, Joe Biden was

972
01:00:46,160 --> 01:00:49,160
Speaker 1: able to use it as ammunitions during that first debate

973
01:00:49,280 --> 01:00:52,640
Speaker 1: and bringing it up repeatedly as if it were fact.

974
01:00:52,840 --> 01:00:55,720
Speaker 1: And of course now we see this here with Juliani again.

975
01:00:55,840 --> 01:00:58,520
Speaker 1: The same media outlets only make a mistake when it

976
01:00:58,600 --> 01:01:02,680
Speaker 1: overwhelmingly is negative towards Republicans or conservatives or those who's

977
01:01:02,720 --> 01:01:05,480
Speaker 1: appoint the support the president, right and in this case,

978
01:01:05,520 --> 01:01:08,640
Speaker 1: obviously Rudy Giuliani. And here's the thing, the juice. The

979
01:01:08,680 --> 01:01:13,280
Speaker 1: allegation presented as absolute fact always gets one hundred times

980
01:01:13,320 --> 01:01:16,280
Speaker 1: the coverage as the exoneration. And do you think the

981
01:01:16,360 --> 01:01:19,640
Speaker 1: other cable news networks who went apocalyptic and reporting the

982
01:01:19,640 --> 01:01:24,000
Speaker 1: allegations against Rudy Giuliani marinated in a healthy dose of piousness,

983
01:01:24,000 --> 01:01:27,000
Speaker 1: by the way, and sidenfreude, do you think that they're

984
01:01:27,000 --> 01:01:29,720
Speaker 1: going to now get on the air and cover the retraction,

985
01:01:29,760 --> 01:01:32,840
Speaker 1: the correction as much as they did the allegation. It's

986
01:01:32,920 --> 01:01:36,160
Speaker 1: rhetorical Tuesday. You don't have to answer that, John, Okay,

987
01:01:36,200 --> 01:01:39,400
Speaker 1: I won't answer. I won't take debate. But it's but

988
01:01:39,480 --> 01:01:42,040
Speaker 1: it's so typical, you know, I noticed that fake Jake

989
01:01:42,120 --> 01:01:46,200
Speaker 1: Tapper over at fake News CNN is out there sanctimoniously

990
01:01:46,520 --> 01:01:50,720
Speaker 1: declaring that he's never going to interview Republicans because they

991
01:01:50,840 --> 01:01:53,600
Speaker 1: don't tell the truth. That I'm like, do you have

992
01:01:53,680 --> 01:01:56,960
Speaker 1: any level of self awareness about how screwed up your

993
01:01:57,040 --> 01:02:00,640
Speaker 1: network is and what a propaganda outlet it has been

994
01:02:00,680 --> 01:02:04,920
Speaker 1: exposed as? Are you that out of touch with truth

995
01:02:05,120 --> 01:02:09,040
Speaker 1: and reality? Well, Jake Taffer, then therefore never interview anybody

996
01:02:09,040 --> 01:02:11,760
Speaker 1: on his show again who pushed the Russia collusion narrative

997
01:02:11,800 --> 01:02:14,120
Speaker 1: for example, Right, So you know, you better have some

998
01:02:14,160 --> 01:02:17,000
Speaker 1: pretty consistent rules across the board. And look, this is

999
01:02:17,000 --> 01:02:20,640
Speaker 1: what CNN has become. It's maybe to even the left

1000
01:02:20,640 --> 01:02:23,080
Speaker 1: of MSNBC, which is a very hard thing to do.

1001
01:02:23,360 --> 01:02:25,760
Speaker 1: But I think they think by being a cheerleader for

1002
01:02:25,800 --> 01:02:29,160
Speaker 1: this administration, in the Biden administration, and continuing just to

1003
01:02:29,320 --> 01:02:32,640
Speaker 1: be the thesis dons against Republicans, that that's somehow a

1004
01:02:32,680 --> 01:02:35,280
Speaker 1: winning formula. And then I look at their ratings. They

1005
01:02:35,280 --> 01:02:40,160
Speaker 1: are down since January sixty percent in primetime. That means

1006
01:02:40,240 --> 01:02:43,000
Speaker 1: six out of ten viewers who are watching your network

1007
01:02:43,160 --> 01:02:46,520
Speaker 1: just earlier this year are gone because they see through

1008
01:02:46,560 --> 01:02:50,520
Speaker 1: the BS. Well, I mean that's all true, and you

1009
01:02:50,560 --> 01:02:53,080
Speaker 1: know there's always a little dip after an election year,

1010
01:02:54,000 --> 01:02:58,439
Speaker 1: and that was predictable. It's always predictable. But these things

1011
01:02:58,440 --> 01:03:00,680
Speaker 1: are now heating back up. Pull it and you can

1012
01:03:00,680 --> 01:03:04,240
Speaker 1: see that the audience is back faster than ever. So

1013
01:03:04,280 --> 01:03:08,840
Speaker 1: I had this interview tomorrow with Caitlyn Jenner. They came

1014
01:03:08,840 --> 01:03:13,680
Speaker 1: out with a three minute ad, and political ads, generally speaking,

1015
01:03:14,080 --> 01:03:18,240
Speaker 1: don't capture my attention. They just that kind of rolls

1016
01:03:18,280 --> 01:03:20,320
Speaker 1: off me. I don't know if he saw the three

1017
01:03:20,320 --> 01:03:23,120
Speaker 1: minute ad, but I thought it was phenomenal. Well, you know,

1018
01:03:23,240 --> 01:03:27,520
Speaker 1: here we have somebody who is obviously very in tune

1019
01:03:27,720 --> 01:03:29,520
Speaker 1: with how to connect with people, right, I mean, I

1020
01:03:29,520 --> 01:03:32,680
Speaker 1: think Caitlyn Jenner is something like three million Twitter followers.

1021
01:03:32,720 --> 01:03:35,280
Speaker 1: Just to put this in perspective, Davin Newsom doesn't even

1022
01:03:35,320 --> 01:03:37,640
Speaker 1: have two million, and he's been the governor of California

1023
01:03:37,680 --> 01:03:40,080
Speaker 1: for a couple of years. Right, So there's definitely the

1024
01:03:40,200 --> 01:03:44,520
Speaker 1: name recognition in Caitlyn Jenner. I mean give her credit

1025
01:03:44,800 --> 01:03:47,200
Speaker 1: in terms of being true to her principles, knowing that

1026
01:03:47,440 --> 01:03:51,560
Speaker 1: if she's transgender that she at least according to the rules,

1027
01:03:51,600 --> 01:03:54,200
Speaker 1: the unwritten rules, she absolutely has to support Democrats. And

1028
01:03:54,240 --> 01:03:56,280
Speaker 1: she's saying, no, this is who I've always been in

1029
01:03:56,360 --> 01:03:59,280
Speaker 1: terms of how I look at the world and policies

1030
01:03:59,400 --> 01:04:03,560
Speaker 1: around X, why and Z, primarily being conservative. So yeah,

1031
01:04:03,800 --> 01:04:06,960
Speaker 1: if there's a runoff, remember Sean in California, you just

1032
01:04:07,080 --> 01:04:09,080
Speaker 1: need the most votes. It's not like Georgia where he

1033
01:04:09,120 --> 01:04:12,240
Speaker 1: needs like a majority. That's how you win, whoever gets

1034
01:04:12,280 --> 01:04:16,160
Speaker 1: the most votes. If Newsom is recalled wins the election,

1035
01:04:16,320 --> 01:04:20,160
Speaker 1: that makes the crap shot there is. But there's two questions.

1036
01:04:20,200 --> 01:04:23,280
Speaker 1: It's if he is recalled. That means on the ballot

1037
01:04:23,520 --> 01:04:25,960
Speaker 1: enough people have to vote to recall him, right, and

1038
01:04:26,040 --> 01:04:28,960
Speaker 1: then then it gets the question two, which is, Okay,

1039
01:04:28,960 --> 01:04:30,720
Speaker 1: of this list of people, who would you like to

1040
01:04:30,760 --> 01:04:34,240
Speaker 1: be governor? Now you start out, Kaylin starts out of

1041
01:04:34,320 --> 01:04:38,200
Speaker 1: my opinion with high name recognition. The thing that was

1042
01:04:38,280 --> 01:04:43,000
Speaker 1: interesting to me m and I called asked about the interview,

1043
01:04:43,040 --> 01:04:46,240
Speaker 1: and I had a long discussion, and I said, for me,

1044
01:04:46,320 --> 01:04:51,720
Speaker 1: this is about this is about policy politics. California is broken.

1045
01:04:52,480 --> 01:04:54,720
Speaker 1: You know, where's your level of commitment here? Now I

1046
01:04:54,720 --> 01:04:57,120
Speaker 1: don't want to give away too much of what the

1047
01:04:57,160 --> 01:04:59,320
Speaker 1: answer was, but the answer, let me just put it.

1048
01:04:59,520 --> 01:05:05,000
Speaker 1: The was a very good answer. And I think I think, like,

1049
01:05:05,120 --> 01:05:09,120
Speaker 1: for example, if if this was about anything other than

1050
01:05:09,640 --> 01:05:12,960
Speaker 1: really wanting to serve as a governor. I don't think

1051
01:05:12,960 --> 01:05:15,200
Speaker 1: I would be that interested in that interview, but I

1052
01:05:15,240 --> 01:05:18,280
Speaker 1: believe it is about wanting to be the governor of

1053
01:05:18,360 --> 01:05:28,080
Speaker 1: California and correcting this draconian, radical left wing wokeism, you know, disaster.

1054
01:05:28,280 --> 01:05:30,840
Speaker 1: I mean from everything from the environment out there. They

1055
01:05:30,840 --> 01:05:35,240
Speaker 1: won't even allow these controlled burns to stop the wildfires.

1056
01:05:35,280 --> 01:05:38,840
Speaker 1: They won't even allow farmers to have water. They put

1057
01:05:38,880 --> 01:05:42,240
Speaker 1: the priority of a little fish called the delta smelt,

1058
01:05:42,280 --> 01:05:46,840
Speaker 1: which is not even an endangered species, over the rights

1059
01:05:46,880 --> 01:05:50,479
Speaker 1: of farmers to have water so that they can raise

1060
01:05:50,520 --> 01:05:54,200
Speaker 1: their crops. It's about a thirteen and a half percent

1061
01:05:54,320 --> 01:05:58,480
Speaker 1: income tax. It's about illegal immigration as out of control

1062
01:05:58,560 --> 01:06:02,720
Speaker 1: as any other state, the sanctuary state of California. I mean,

1063
01:06:02,760 --> 01:06:06,280
Speaker 1: these are real issues here that you know, I think

1064
01:06:06,440 --> 01:06:09,360
Speaker 1: every candidate that is running for office is going to

1065
01:06:09,480 --> 01:06:13,160
Speaker 1: have to answer. And there's so much to attack right

1066
01:06:13,200 --> 01:06:16,960
Speaker 1: if you're a candidate looking to seeking this office right

1067
01:06:17,000 --> 01:06:20,160
Speaker 1: in California, for your leaders are think about the murderers

1068
01:06:20,240 --> 01:06:22,520
Speaker 1: row they have here. It's not exactly the forty nine Yankees.

1069
01:06:22,640 --> 01:06:26,040
Speaker 1: When Gavin Newson is your governor and Nancy Pelosi is

1070
01:06:26,040 --> 01:06:28,000
Speaker 1: one of your congresswomen who happens to be the Speaker

1071
01:06:28,000 --> 01:06:32,120
Speaker 1: of the House. And then you have Swallwell and Shift Boy.

1072
01:06:32,320 --> 01:06:35,000
Speaker 1: That is quite the lineup, isn't it. And you don't

1073
01:06:35,040 --> 01:06:38,880
Speaker 1: forget Diane Feinstein. Feinstein too right, and just think about

1074
01:06:38,920 --> 01:06:42,120
Speaker 1: everything that's going on out there, the record, homelessness, the exodus.

1075
01:06:42,120 --> 01:06:44,160
Speaker 1: The two states that have the biggest exodus by far

1076
01:06:44,240 --> 01:06:47,400
Speaker 1: by a country mile, is California and New York right now,

1077
01:06:47,400 --> 01:06:49,840
Speaker 1: that's according to United dan Lines who did a big

1078
01:06:49,880 --> 01:06:52,200
Speaker 1: survey on this and looked at their own data in

1079
01:06:52,320 --> 01:06:54,600
Speaker 1: terms of people moving out of places, and the states

1080
01:06:54,600 --> 01:06:58,480
Speaker 1: that are getting the most influx Idaho, Kentucky, and Florida.

1081
01:06:58,520 --> 01:07:00,800
Speaker 1: What are those all have in common? The red states?

1082
01:07:00,800 --> 01:07:02,600
Speaker 1: So yeah, people are getting taxed out of a zoo.

1083
01:07:02,760 --> 01:07:05,280
Speaker 1: They don't feel safe anymore. The migrant problem is a

1084
01:07:05,360 --> 01:07:07,600
Speaker 1: huge issue. So Caitlin Jenner is going to have a

1085
01:07:07,680 --> 01:07:10,680
Speaker 1: lot of targets that she can nail in this situation

1086
01:07:10,880 --> 01:07:13,240
Speaker 1: in terms of this is what's wrong and here's how

1087
01:07:13,280 --> 01:07:15,720
Speaker 1: I'm going to fix it. I'm telling you you haven't

1088
01:07:15,720 --> 01:07:19,160
Speaker 1: need some serious trouble either way. I don't disagree at all.

1089
01:07:19,200 --> 01:07:23,640
Speaker 1: I think, I think, really serious trouble, and and it

1090
01:07:23,720 --> 01:07:27,640
Speaker 1: just makes you wonder, is it now possible that California

1091
01:07:27,720 --> 01:07:34,440
Speaker 1: could go back to a more fiscally conservative policies. Now

1092
01:07:34,840 --> 01:07:37,400
Speaker 1: I'm not sure, and I'll find out when I do

1093
01:07:37,440 --> 01:07:42,160
Speaker 1: the interview whether this the ad that came out said,

1094
01:07:42,240 --> 01:07:45,080
Speaker 1: this isn't about Republican a Democrat. This is about what

1095
01:07:45,120 --> 01:07:47,760
Speaker 1: has happened to this great state of California. That needs

1096
01:07:47,800 --> 01:07:51,000
Speaker 1: to be open, that needs regulations to go away, that

1097
01:07:51,080 --> 01:07:55,760
Speaker 1: needs taxes to go down, that needs common sense environmental policies.

1098
01:07:58,120 --> 01:08:01,440
Speaker 1: But I think the radicalism of California, you know, will

1099
01:08:01,480 --> 01:08:05,560
Speaker 1: it now begin to adjust back to a more conservative

1100
01:08:05,560 --> 01:08:09,040
Speaker 1: state now, one that a presidential candidate can win. That's

1101
01:08:09,040 --> 01:08:13,360
Speaker 1: a stretch, but maybe on the local level, I actually

1102
01:08:13,360 --> 01:08:15,840
Speaker 1: think it might be possible. I'm loving enough to remember

1103
01:08:15,840 --> 01:08:19,120
Speaker 1: a guy named Arnold Schwarzenegger who came from the entertainment world.

1104
01:08:19,280 --> 01:08:22,360
Speaker 1: Everybody gave him zero chance whatsoever. If I heard one

1105
01:08:22,400 --> 01:08:25,320
Speaker 1: more joke in two thousand and three, get to the

1106
01:08:25,400 --> 01:08:27,280
Speaker 1: chop off like everybody thought. It was like a big joke,

1107
01:08:27,360 --> 01:08:29,040
Speaker 1: like come on, got please. The guy from Terminator is

1108
01:08:29,040 --> 01:08:31,200
Speaker 1: going to be the governor of California. And he won

1109
01:08:31,400 --> 01:08:34,240
Speaker 1: and that was a recall election that you may recall, Sean.

1110
01:08:34,320 --> 01:08:37,760
Speaker 1: So that's interesting. And we've had what Governor Jesse Ventura,

1111
01:08:37,880 --> 01:08:42,400
Speaker 1: We've had Mayor Jerry Springer, We've obvious had President Donald Trump. Yes,

1112
01:08:42,560 --> 01:08:46,280
Speaker 1: you can come from the entertainment sector and do quite

1113
01:08:46,280 --> 01:08:47,960
Speaker 1: well here because again, you don't have to worry about

1114
01:08:47,960 --> 01:08:50,680
Speaker 1: brand recognition or marketing yourself. For people getting to know you,

1115
01:08:50,760 --> 01:08:53,719
Speaker 1: they know already basically who you are. And that gives

1116
01:08:53,720 --> 01:08:57,040
Speaker 1: her Hitlin Jenner a huge head start here. So yeah,

1117
01:08:57,200 --> 01:08:59,960
Speaker 1: I don't see why she couldn't win in this situation

1118
01:09:00,240 --> 01:09:03,400
Speaker 1: because the competition is just so blode, seems at this point.

1119
01:09:03,520 --> 01:09:05,559
Speaker 1: Unless our friend Rick Renell jumped in, then we got

1120
01:09:05,560 --> 01:09:08,280
Speaker 1: a whole new conversation. He's been reluctant. I've had him

1121
01:09:08,320 --> 01:09:10,120
Speaker 1: on TV a number of times, and I happen to

1122
01:09:10,200 --> 01:09:11,800
Speaker 1: like Rick a lot. I think he did a great

1123
01:09:11,880 --> 01:09:16,720
Speaker 1: job as Director of National Intelligence, and he's a real warrior.

1124
01:09:16,760 --> 01:09:20,200
Speaker 1: He's a fighter. Um. I think he's smart, principled. I

1125
01:09:20,240 --> 01:09:22,840
Speaker 1: think he'd do a great job out there. But he's

1126
01:09:22,880 --> 01:09:24,800
Speaker 1: been reluctant to even give me a hint that he

1127
01:09:24,800 --> 01:09:27,479
Speaker 1: has any interest in running. Yeah, and that's a shame too,

1128
01:09:27,520 --> 01:09:31,200
Speaker 1: because you tell me who has better teeth in any

1129
01:09:31,400 --> 01:09:34,000
Speaker 1: political sphere, right? I know he was an acting director

1130
01:09:34,000 --> 01:09:37,360
Speaker 1: of Director of National Intelligence right before. That guy has

1131
01:09:37,360 --> 01:09:40,280
Speaker 1: some tremendous choppers. I mean I'd kill for those and

1132
01:09:40,360 --> 01:09:42,440
Speaker 1: not alone I think could help him in this situation.

1133
01:09:42,600 --> 01:09:44,600
Speaker 1: Oh of course, Jeff. And when do you get in

1134
01:09:44,680 --> 01:09:47,960
Speaker 1: your media show on Fox? I am advocating this now

1135
01:09:48,000 --> 01:09:50,760
Speaker 1: openly and publicly. I think you deserve a media show

1136
01:09:50,800 --> 01:09:53,960
Speaker 1: on Fox because you get that last last week, on

1137
01:09:54,080 --> 01:09:56,800
Speaker 1: last Friday on the on the netigin, I got more

1138
01:09:56,840 --> 01:09:58,800
Speaker 1: text by it have since I don't know, I think

1139
01:09:58,800 --> 01:10:03,600
Speaker 1: senior year, right, I mean, so you doing that situation,

1140
01:10:04,280 --> 01:10:06,519
Speaker 1: we'll take, you know, I take anyhow at this point,

1141
01:10:06,680 --> 01:10:08,479
Speaker 1: all right, quick break more with Joe Concho on the

1142
01:10:08,479 --> 01:10:11,240
Speaker 1: other side than your calls final half hour eight hundred

1143
01:10:11,320 --> 01:10:13,439
Speaker 1: nine four one sew on our number. If you want

1144
01:10:13,439 --> 01:10:14,880
Speaker 1: to be a part of the program, And as we

1145
01:10:14,920 --> 01:10:16,920
Speaker 1: continue with Joe Concho, then we'll get to your calls

1146
01:10:16,960 --> 01:10:20,559
Speaker 1: eight hundred and nine four one Sean. You know you follow.

1147
01:10:20,640 --> 01:10:23,679
Speaker 1: Look when I used to be on social media, which

1148
01:10:23,720 --> 01:10:26,679
Speaker 1: now seems like an entire lifetime ago. When I used

1149
01:10:26,680 --> 01:10:29,759
Speaker 1: to be on it, and I would, you know, engage

1150
01:10:29,800 --> 01:10:33,880
Speaker 1: with my public feuds with the likes of Jimmy kimmel

1151
01:10:34,439 --> 01:10:38,200
Speaker 1: um or Alec Baldwin, a couple of them that I had,

1152
01:10:38,520 --> 01:10:41,040
Speaker 1: By the way, they went down in history some of

1153
01:10:41,080 --> 01:10:44,400
Speaker 1: the best Twitter brawls ever. But when I had them,

1154
01:10:45,040 --> 01:10:47,040
Speaker 1: and it does take too much of your time, I

1155
01:10:47,160 --> 01:10:50,200
Speaker 1: noticed that there was this little cabal of all these

1156
01:10:50,240 --> 01:10:53,360
Speaker 1: blue check media people and they live in their own

1157
01:10:53,400 --> 01:10:56,040
Speaker 1: little bubble. Have you noticed that two on social media

1158
01:10:56,120 --> 01:10:58,400
Speaker 1: and they tweet out what the other one's doing, and

1159
01:10:58,439 --> 01:11:00,479
Speaker 1: what this one's doing, and that one is doing. And

1160
01:11:00,520 --> 01:11:04,200
Speaker 1: if you tweet my article or my piece on TV,

1161
01:11:04,280 --> 01:11:07,040
Speaker 1: I'll tweet your piece on TV. It's like they've got

1162
01:11:07,040 --> 01:11:12,040
Speaker 1: this left wing LoveFest never ending, and it's all rooted

1163
01:11:12,040 --> 01:11:15,800
Speaker 1: in the same radical left policies that Trump is bad,

1164
01:11:15,920 --> 01:11:21,080
Speaker 1: Republicans bad, Conservatives suck and we are the enlightened ones,

1165
01:11:21,280 --> 01:11:24,599
Speaker 1: we know better than the American people. It's like, you know,

1166
01:11:24,640 --> 01:11:28,360
Speaker 1: in journalism, it's more important for not just the media

1167
01:11:28,560 --> 01:11:31,120
Speaker 1: reporters and commentators that are out there, but just journalists

1168
01:11:31,120 --> 01:11:33,760
Speaker 1: in general. They are tickled if they could get just

1169
01:11:33,840 --> 01:11:36,680
Speaker 1: one retweet from Maggie Haberman or if you're like a

1170
01:11:36,760 --> 01:11:42,080
Speaker 1: Nicole Wallace on MSNBC, or you're a Don Lemon on CNN.

1171
01:11:42,280 --> 01:11:44,560
Speaker 1: It's not about winning an Emmy or a politiczer or

1172
01:11:44,600 --> 01:11:46,639
Speaker 1: anything like that. It's oh boy, you think that Stephen

1173
01:11:46,680 --> 01:11:49,120
Speaker 1: colbertil or Jimmy Kimmel will have me on their show

1174
01:11:49,320 --> 01:11:52,160
Speaker 1: and we get so excited about that. Yeah, so how

1175
01:11:52,320 --> 01:11:56,760
Speaker 1: is that possible? Considering their ratings are atrocious? On the

1176
01:11:56,760 --> 01:12:01,960
Speaker 1: worst night rating night on Hannity, we like double these people,

1177
01:12:02,240 --> 01:12:05,519
Speaker 1: And I'm trying to understand, you know, where are the

1178
01:12:05,560 --> 01:12:09,240
Speaker 1: media articles that actually analyze, Like I noticed that who

1179
01:12:09,360 --> 01:12:13,000
Speaker 1: what's that guy's name, Seth Myers? And I noticed that,

1180
01:12:13,200 --> 01:12:15,400
Speaker 1: you know, I mean, I started, I took a good

1181
01:12:15,400 --> 01:12:18,040
Speaker 1: shot back at him after he said something about me

1182
01:12:18,120 --> 01:12:21,360
Speaker 1: I don't even remember, and then I had my team

1183
01:12:21,400 --> 01:12:24,040
Speaker 1: pull up his ratings. He gets under a million viewers

1184
01:12:24,080 --> 01:12:25,920
Speaker 1: a night, and I'm like, why am I even talking

1185
01:12:25,920 --> 01:12:28,679
Speaker 1: to this guy? Why am I wasting my time? That's

1186
01:12:28,720 --> 01:12:31,960
Speaker 1: the old NBC Letterman spot before Letterman became really political,

1187
01:12:32,040 --> 01:12:35,280
Speaker 1: right twelve thirty NBC, and he would have millions more

1188
01:12:35,320 --> 01:12:38,160
Speaker 1: people watching because you got the escapism, you actually laugh,

1189
01:12:38,240 --> 01:12:40,640
Speaker 1: You watched stupid pet tricks and Paul Schaefer, and he

1190
01:12:40,680 --> 01:12:42,760
Speaker 1: always had great guests, and he just like it was

1191
01:12:42,800 --> 01:12:45,200
Speaker 1: a good thing to fall asleep too when you were

1192
01:12:45,200 --> 01:12:47,439
Speaker 1: in college. And now it's just like I'm hearing Seth

1193
01:12:47,479 --> 01:12:51,000
Speaker 1: Myers and Stephen Colbert arguing that the filibuster should be

1194
01:12:51,000 --> 01:12:53,880
Speaker 1: abolished and why we should have fifty one states and

1195
01:12:53,920 --> 01:12:55,840
Speaker 1: adding DC, and I'm like, wait a minute. If I

1196
01:12:55,880 --> 01:12:59,960
Speaker 1: wanted this, I'd watched the banners. The problem is hust Listen.

1197
01:13:00,080 --> 01:13:03,080
Speaker 1: If they were funny, I'd say they're funny. Like I

1198
01:13:03,120 --> 01:13:05,799
Speaker 1: can tell you that some of the people on social

1199
01:13:05,800 --> 01:13:08,519
Speaker 1: media that make fun of me for whatever reason, and

1200
01:13:09,120 --> 01:13:11,400
Speaker 1: some of the memes and some of the things they say,

1201
01:13:12,000 --> 01:13:15,879
Speaker 1: I mean, they literally they crack me up. They're clever,

1202
01:13:16,240 --> 01:13:20,800
Speaker 1: they're funny, they're smart, they're spot on in terms of

1203
01:13:20,880 --> 01:13:24,479
Speaker 1: they're making a point with however they're attacking me. And

1204
01:13:24,560 --> 01:13:26,600
Speaker 1: I look at it, and you know, I kind of

1205
01:13:26,720 --> 01:13:29,000
Speaker 1: on my hand, good job. I really like it. It's funny.

1206
01:13:29,240 --> 01:13:32,599
Speaker 1: These guys don't make me laugh. Jay Leno made me laugh.

1207
01:13:32,760 --> 01:13:35,880
Speaker 1: Letterman in the old days he made me laugh. Then

1208
01:13:36,160 --> 01:13:39,439
Speaker 1: Letterman became kind of a hardcore lefty leto stayed down

1209
01:13:39,479 --> 01:13:42,559
Speaker 1: the middle, kind of more in the tradition of Johnny Carson,

1210
01:13:43,240 --> 01:13:46,840
Speaker 1: and I thought that served him well all of those years.

1211
01:13:46,960 --> 01:13:48,840
Speaker 1: And what a mistake it was to get rid of

1212
01:13:49,080 --> 01:13:51,280
Speaker 1: Jay Leno. In my view, you'd still have a fastball

1213
01:13:51,360 --> 01:13:54,120
Speaker 1: Leno at this point, right and now, Jimo, I'm sorry,

1214
01:13:54,240 --> 01:13:56,280
Speaker 1: Jimmy Fallon. I mean, not even like one point five

1215
01:13:56,320 --> 01:13:58,680
Speaker 1: million viewers with Trust me It on the network, all

1216
01:13:58,720 --> 01:14:00,880
Speaker 1: the promotion that they give it at eleven thirties, they're

1217
01:14:00,880 --> 01:14:02,920
Speaker 1: not paying them all that money to bring in that

1218
01:14:02,960 --> 01:14:05,439
Speaker 1: sort of cash. And that's the shame about Falon. Falon

1219
01:14:05,600 --> 01:14:07,640
Speaker 1: used to be somewhat down, not down the middle, but

1220
01:14:07,640 --> 01:14:09,680
Speaker 1: he just did more entertainment. That's right, because he has

1221
01:14:09,680 --> 01:14:12,280
Speaker 1: a lot of talent. But then once Colbert and once

1222
01:14:12,400 --> 01:14:15,800
Speaker 1: Kimmel went completely and totally political, balance felt like he

1223
01:14:15,880 --> 01:14:18,360
Speaker 1: had no choice. And now he should have stuck to

1224
01:14:18,400 --> 01:14:21,320
Speaker 1: his guns. He got he panicked over the ratings for

1225
01:14:21,360 --> 01:14:23,599
Speaker 1: a short period of time. He needs to get back

1226
01:14:23,600 --> 01:14:25,439
Speaker 1: to that if he wants any chance in my view,

1227
01:14:25,960 --> 01:14:28,599
Speaker 1: All right, Joe Concho, thank you as always eight hundred

1228
01:14:28,600 --> 01:14:29,920
Speaker 1: and nine four one sewn you want to be a

1229
01:14:29,960 --> 01:14:32,799
Speaker 1: part of the program, quick break right back. Your calls

1230
01:14:32,840 --> 01:14:35,000
Speaker 1: on the other side straight ahead. All right, twenty five

1231
01:14:35,040 --> 01:14:36,840
Speaker 1: to the top of the hour. All right, let's get

1232
01:14:36,840 --> 01:14:39,639
Speaker 1: to our phones. John Missouri, you've been very patient, sir,

1233
01:14:39,800 --> 01:14:41,760
Speaker 1: thank you for being with us. Glad you called. I'm

1234
01:14:41,800 --> 01:14:46,320
Speaker 1: glad you like McDonald's. Well, thank you much for this opportunity.

1235
01:14:46,320 --> 01:14:49,320
Speaker 1: It's great honor to be able to speak with you today. Yeah.

1236
01:14:49,320 --> 01:14:52,200
Speaker 1: So I'm a teacher here in Missouri, and you know,

1237
01:14:52,240 --> 01:14:54,240
Speaker 1: after hearing all the things have been going on, it's

1238
01:14:54,320 --> 01:14:57,679
Speaker 1: it's really kind of struck a fire within me about

1239
01:14:57,720 --> 01:15:00,439
Speaker 1: why people aren't wanting to bring their chea it's back

1240
01:15:00,439 --> 01:15:03,439
Speaker 1: into the classroom. Well, I think it should for a

1241
01:15:03,439 --> 01:15:06,559
Speaker 1: lot of different reasons. Um, you know, I noticed Biden

1242
01:15:06,720 --> 01:15:10,439
Speaker 1: is telling younger kids that they need to get vaccinated. Now,

1243
01:15:11,479 --> 01:15:13,519
Speaker 1: I'm not sure if this was a real picture or not.

1244
01:15:13,560 --> 01:15:16,439
Speaker 1: It's in the Daily Mail. I trust the Daily Mail,

1245
01:15:17,080 --> 01:15:19,360
Speaker 1: but they have a picture of Jill and Joe Biden

1246
01:15:19,479 --> 01:15:25,479
Speaker 1: with Jimmy Carter and his wife Rosalind. Jimmy Carter's ninety

1247
01:15:25,520 --> 01:15:28,559
Speaker 1: six years old, Rosalind's ninety three years old. They didn't

1248
01:15:28,600 --> 01:15:31,840
Speaker 1: have a mask on. Um. Look, I think you know

1249
01:15:32,920 --> 01:15:36,320
Speaker 1: there's so much damage that people aren't really even factoring

1250
01:15:36,320 --> 01:15:39,559
Speaker 1: in now these kids, you know, wearing masks for eight

1251
01:15:39,600 --> 01:15:44,840
Speaker 1: hours a day. Um, they're getting rashes number one, number two. Um,

1252
01:15:45,360 --> 01:15:47,439
Speaker 1: that's so that's a problem when they're even in school,

1253
01:15:47,479 --> 01:15:50,080
Speaker 1: but being home they missed their friends, that they don't

1254
01:15:50,080 --> 01:15:54,080
Speaker 1: have the socialization. Uh, it's putting a stress on families.

1255
01:15:54,280 --> 01:15:58,360
Speaker 1: It's it's it's it's not helping anybody. And we've already

1256
01:15:58,400 --> 01:16:01,320
Speaker 1: proven in Florida because schools they have been open since

1257
01:16:01,360 --> 01:16:04,720
Speaker 1: August that it can be done safely and successfully. I

1258
01:16:05,000 --> 01:16:07,559
Speaker 1: don't know what, Well, that's the same thing we've gone

1259
01:16:07,560 --> 01:16:09,960
Speaker 1: on here. We've we've been open since August, and we

1260
01:16:10,040 --> 01:16:13,000
Speaker 1: knew on the onset that that we were trying to

1261
01:16:13,040 --> 01:16:16,599
Speaker 1: set improve a point that you don't have to go

1262
01:16:16,720 --> 01:16:19,680
Speaker 1: full distance learning. I mean, we have absolutely offered it

1263
01:16:19,720 --> 01:16:22,559
Speaker 1: as an option. But when we know what it takes

1264
01:16:22,600 --> 01:16:27,800
Speaker 1: to teach children, it takes relationships, It takes building academic

1265
01:16:27,880 --> 01:16:31,720
Speaker 1: success through giving them the accouragement, showing them what they

1266
01:16:31,720 --> 01:16:35,080
Speaker 1: can achieve. And especially in these middle school age groups,

1267
01:16:35,160 --> 01:16:38,320
Speaker 1: if you don't connect them to academic success, you put

1268
01:16:38,360 --> 01:16:40,400
Speaker 1: them on a whole complete path to failure later on

1269
01:16:40,439 --> 01:16:43,160
Speaker 1: down the road. Even in which but that said, though

1270
01:16:43,200 --> 01:16:46,559
Speaker 1: I'm not against online education for people to choose it.

1271
01:16:47,520 --> 01:16:49,280
Speaker 1: I know, for example, a lot of athletes do it

1272
01:16:49,360 --> 01:16:53,400
Speaker 1: so they can pursue their their sports ambitions. I'm fine

1273
01:16:53,439 --> 01:16:56,679
Speaker 1: with that, and that's but it's got to be a choice,

1274
01:16:56,680 --> 01:17:00,280
Speaker 1: and it's got to be a rigorous academic program. You

1275
01:17:00,360 --> 01:17:03,679
Speaker 1: just can't, you know, skate on through school and life

1276
01:17:03,680 --> 01:17:06,920
Speaker 1: without getting an education, because it's the latter to success,

1277
01:17:07,040 --> 01:17:10,639
Speaker 1: and an athlete's one injury away from you know, needing

1278
01:17:10,680 --> 01:17:13,320
Speaker 1: that education, but badly well. And one of the things

1279
01:17:13,360 --> 01:17:15,719
Speaker 1: that studies show is is, you know, like you said,

1280
01:17:16,000 --> 01:17:18,680
Speaker 1: distance learning, when you have the support at home and

1281
01:17:18,680 --> 01:17:21,599
Speaker 1: then things are available, it can be a very productive thing.

1282
01:17:22,160 --> 01:17:24,439
Speaker 1: But when you look at some of the statistics, you know,

1283
01:17:24,520 --> 01:17:27,439
Speaker 1: when it comes to you know, fostination, a lot of

1284
01:17:27,520 --> 01:17:30,240
Speaker 1: times schools are having problems promoting reading in the classroom.

1285
01:17:30,640 --> 01:17:32,960
Speaker 1: Kids are coming in the classroom about fifty percent of

1286
01:17:33,080 --> 01:17:35,599
Speaker 1: the time not being able to read at grade level.

1287
01:17:35,840 --> 01:17:38,320
Speaker 1: And even the studies on dyslexi, it's not something that

1288
01:17:38,320 --> 01:17:40,559
Speaker 1: can easily be done over line. It takes it takes

1289
01:17:40,640 --> 01:17:43,120
Speaker 1: that chance to meet with the kid to see where

1290
01:17:43,200 --> 01:17:47,120
Speaker 1: that that hitch is. The prison statistics and even in

1291
01:17:47,160 --> 01:17:50,879
Speaker 1: Texas show that forty eight percent of the prison population

1292
01:17:50,960 --> 01:17:54,040
Speaker 1: is dyslexic, with two thirds of them struggling with reading

1293
01:17:54,320 --> 01:17:57,439
Speaker 1: in the first place. And so when you have these

1294
01:17:57,520 --> 01:18:00,360
Speaker 1: kids that have struggled at home and can't really connect

1295
01:18:00,400 --> 01:18:05,040
Speaker 1: online or they don't have that added support, they very

1296
01:18:05,040 --> 01:18:07,680
Speaker 1: well take that path that really sets them up for

1297
01:18:07,760 --> 01:18:09,880
Speaker 1: failure throughout life. And this was a big part of

1298
01:18:09,920 --> 01:18:13,160
Speaker 1: broken communities. And so when these teachers and these teachers

1299
01:18:13,240 --> 01:18:15,760
Speaker 1: unions aren't wanting to be in the classroom, you know,

1300
01:18:15,800 --> 01:18:18,280
Speaker 1: I mean that is the same. I mean, you know,

1301
01:18:18,439 --> 01:18:22,599
Speaker 1: it all depends to the outcome. There are great teachers

1302
01:18:22,600 --> 01:18:25,200
Speaker 1: and great school districts, and they are allousy teachers and

1303
01:18:25,280 --> 01:18:28,280
Speaker 1: a lousy school districts, just as a matter of where

1304
01:18:28,280 --> 01:18:31,479
Speaker 1: you live. But you're right. The ideal situation with all

1305
01:18:31,520 --> 01:18:35,240
Speaker 1: the money we spend per capita pursudent on education with

1306
01:18:35,280 --> 01:18:39,120
Speaker 1: the worst results in the industrialized world. It's mind numbing.

1307
01:18:39,520 --> 01:18:41,320
Speaker 1: But you sound like one of the good ones. John,

1308
01:18:41,439 --> 01:18:43,679
Speaker 1: Thank you, my friend, and keep up the good work.

1309
01:18:44,000 --> 01:18:47,360
Speaker 1: Chance our kids need good teachers. Tony is an Iowa.

1310
01:18:47,439 --> 01:18:50,479
Speaker 1: Hey Tony, thanks for being patient. Hey Hendy, thanks for

1311
01:18:50,520 --> 01:18:52,920
Speaker 1: getting me in. You're going to condense this the best

1312
01:18:52,920 --> 01:18:54,920
Speaker 1: they can, and hope I don't end up on a

1313
01:18:55,000 --> 01:18:59,040
Speaker 1: watchless for seeing this. But if any department has warranted

1314
01:18:59,160 --> 01:19:02,680
Speaker 1: defunding and restructuring, it's got to be the FBI, not

1315
01:19:02,840 --> 01:19:05,479
Speaker 1: the police. I mean, this goes all the way back,

1316
01:19:05,920 --> 01:19:09,200
Speaker 1: well way back. But I'm just gonna go back to

1317
01:19:09,240 --> 01:19:13,479
Speaker 1: the Hillary email, hard drive, Oh we lost our hard

1318
01:19:13,560 --> 01:19:16,479
Speaker 1: drive and Kobe saying out we don't got enough to

1319
01:19:16,520 --> 01:19:18,800
Speaker 1: prosecute him, you know, that kind of thing, And it's

1320
01:19:18,840 --> 01:19:20,920
Speaker 1: just the one thing after the other where it seems

1321
01:19:20,920 --> 01:19:23,639
Speaker 1: to be the FBI at the heart of the Oh yeah,

1322
01:19:23,680 --> 01:19:28,799
Speaker 1: this is a ballot investigation, and hopefully you know, twenty

1323
01:19:28,840 --> 01:19:32,920
Speaker 1: twenty twenty twenty two, excuse me, take back the House

1324
01:19:32,960 --> 01:19:35,160
Speaker 1: and the Senate, then maybe we can make that possible,

1325
01:19:35,200 --> 01:19:38,559
Speaker 1: where we you know, shake down the and restructure and

1326
01:19:38,760 --> 01:19:41,599
Speaker 1: start some investigations about, hey, what's going what's really going

1327
01:19:41,640 --> 01:19:45,560
Speaker 1: on the FBI, Like when they were farming out surveillance

1328
01:19:45,640 --> 01:19:48,760
Speaker 1: the third party, what was it two thousand nine or

1329
01:19:48,800 --> 01:19:51,800
Speaker 1: ten when Obama comes on and says, hey, everybody, we're

1330
01:19:51,800 --> 01:19:54,200
Speaker 1: gonna protect you for whistle blowing, and then about a

1331
01:19:54,200 --> 01:19:58,240
Speaker 1: week later, Snowdon Snowdon drops the bomb about how you know,

1332
01:19:58,320 --> 01:20:01,679
Speaker 1: he was one of the party people who was being

1333
01:20:01,680 --> 01:20:04,880
Speaker 1: put on the you know, watching people and going, hey,

1334
01:20:04,920 --> 01:20:06,880
Speaker 1: this isn't right. You know, we shouldn't be doing this.

1335
01:20:06,880 --> 01:20:09,720
Speaker 1: This isn't this isn't a private thing. This should be

1336
01:20:10,080 --> 01:20:13,479
Speaker 1: you know, we're closely guarded. This is way too loose

1337
01:20:13,760 --> 01:20:17,800
Speaker 1: for security. It's sad to me that we had our

1338
01:20:17,800 --> 01:20:22,080
Speaker 1: opportunity and Director Ray had his opportunity to clean up

1339
01:20:22,200 --> 01:20:24,919
Speaker 1: the FBI, which I think is one of the greatest

1340
01:20:25,000 --> 01:20:29,639
Speaker 1: law enforcement institutions in the world. I still you're never

1341
01:20:29,720 --> 01:20:32,080
Speaker 1: going to convince me that it is the rank and file,

1342
01:20:32,160 --> 01:20:34,960
Speaker 1: because I know too many rank and file FBI guys,

1343
01:20:35,000 --> 01:20:40,720
Speaker 1: special agents, and they are appalled at what some of

1344
01:20:41,000 --> 01:20:45,360
Speaker 1: the upper echelon seventh floor folks have been engaged in.

1345
01:20:46,320 --> 01:20:52,040
Speaker 1: And we missed our opportunity, or so it seems. Unless

1346
01:20:52,120 --> 01:20:54,800
Speaker 1: Dorham is up to something that none of us know,

1347
01:20:55,120 --> 01:20:58,519
Speaker 1: I have very little faith and hope that he's capable

1348
01:20:58,600 --> 01:21:00,800
Speaker 1: of doing the job that should be done, that needs

1349
01:21:00,840 --> 01:21:03,720
Speaker 1: to be done to clean it up. But you're right,

1350
01:21:03,760 --> 01:21:07,519
Speaker 1: it's dangerous for the country anyway. Good call, Tony, Appreciate it.

1351
01:21:07,640 --> 01:21:11,960
Speaker 1: Lou and Florida, Hello, Okay, Sean. Listen, my mother was

1352
01:21:12,000 --> 01:21:15,120
Speaker 1: a delegate Coronald Reagan in Arizona and at a young

1353
01:21:15,160 --> 01:21:18,440
Speaker 1: age in the fifties, we learned a lot about communism

1354
01:21:19,280 --> 01:21:21,920
Speaker 1: and what's happening right now in DC at the tip

1355
01:21:21,960 --> 01:21:24,000
Speaker 1: of the iceberg. I'm not talking your rank and file

1356
01:21:24,040 --> 01:21:28,480
Speaker 1: if you just said, but all the institutions, the intelligence, communities,

1357
01:21:28,880 --> 01:21:33,080
Speaker 1: law enforcement, and certainly our congressional bodies are all being

1358
01:21:33,200 --> 01:21:36,240
Speaker 1: headed as a will to power government. Okay, this is

1359
01:21:36,280 --> 01:21:41,720
Speaker 1: all will to power for a globalist pay to play agenda.

1360
01:21:41,960 --> 01:21:48,360
Speaker 1: That's exactly what this is. And there was a story

1361
01:21:48,479 --> 01:21:52,960
Speaker 1: today that will back up what you're saying. And it

1362
01:21:53,000 --> 01:21:55,120
Speaker 1: may not sound like a big deal or one that

1363
01:21:55,160 --> 01:21:58,200
Speaker 1: you want to pay attention to, but it really caught

1364
01:21:58,240 --> 01:22:01,040
Speaker 1: my attention. You have a top a cost for Joe

1365
01:22:01,080 --> 01:22:04,000
Speaker 1: Biden urging. Now this is on top of Janet Yellen

1366
01:22:04,640 --> 01:22:07,559
Speaker 1: the whole world to raise the corporate tax rate. And

1367
01:22:07,640 --> 01:22:10,880
Speaker 1: her name is Cecilia Rousse, chair of the Council of

1368
01:22:10,920 --> 01:22:15,240
Speaker 1: Economic Advisors for the Biden administration. And what they're trying

1369
01:22:15,280 --> 01:22:22,040
Speaker 1: to do is get every nation to engage in redistribution

1370
01:22:22,160 --> 01:22:26,080
Speaker 1: socialist policies. This way, there'll be no place for the

1371
01:22:26,160 --> 01:22:31,639
Speaker 1: rich to go to hide their money or save their money,

1372
01:22:31,840 --> 01:22:34,720
Speaker 1: and that they'll have access to it. When they have

1373
01:22:34,760 --> 01:22:37,920
Speaker 1: access to the money and they have people dependent on them,

1374
01:22:38,040 --> 01:22:40,479
Speaker 1: they have all the power. And that's what this game

1375
01:22:40,520 --> 01:22:43,120
Speaker 1: has always been about. That's never going to change. But

1376
01:22:43,280 --> 01:22:45,840
Speaker 1: see now they have the power and the prize of

1377
01:22:45,840 --> 01:22:49,479
Speaker 1: the United States now once they take the United States down,

1378
01:22:49,520 --> 01:22:52,880
Speaker 1: but dominoes go global all the way. What happened in

1379
01:22:53,000 --> 01:22:56,880
Speaker 1: Venezuela was the playbook of our twenty twenty election. That's

1380
01:22:56,880 --> 01:23:00,720
Speaker 1: a fact. And you can look at Cuba right now,

1381
01:23:00,720 --> 01:23:03,080
Speaker 1: which is on a very bad state. You look at

1382
01:23:03,120 --> 01:23:07,160
Speaker 1: all these totalitarian governments. And my sister, who's completely you know,

1383
01:23:07,200 --> 01:23:09,640
Speaker 1: she's a conservative, but she's like, oh, with the pendulum,

1384
01:23:09,640 --> 01:23:11,760
Speaker 1: it'll switch the other way. And I said, why does

1385
01:23:11,800 --> 01:23:15,280
Speaker 1: it switch the other way in China? How about Cuba.

1386
01:23:15,600 --> 01:23:17,240
Speaker 1: Let's run down the list. You think it's going to

1387
01:23:17,280 --> 01:23:21,080
Speaker 1: switch the other way in Venezuela. My proposal is that

1388
01:23:21,120 --> 01:23:24,479
Speaker 1: there'd be a name change today to the Democrat Party

1389
01:23:24,520 --> 01:23:28,600
Speaker 1: in this country to the Communist Democrat Party of America,

1390
01:23:29,040 --> 01:23:32,600
Speaker 1: because that's what Levin's new book is. You know that

1391
01:23:32,960 --> 01:23:37,040
Speaker 1: they're Marxists, and you know American Marxism. And I'll tell

1392
01:23:37,080 --> 01:23:39,640
Speaker 1: you what. I got criticized in the Jerusalem Post for

1393
01:23:39,760 --> 01:23:43,639
Speaker 1: calling Bolshevik Bernie Bolshevik Bernie. And I'm like the guy

1394
01:23:43,840 --> 01:23:49,000
Speaker 1: honeymooned in the former Soviet Union. He's praised, you know, regimes,

1395
01:23:49,080 --> 01:23:53,799
Speaker 1: murdering regimes like in the Soviet Union and Cuba's Castro

1396
01:23:54,400 --> 01:23:59,720
Speaker 1: and Nicaragua and Venezuela. I mean that that's it. I'm

1397
01:24:00,120 --> 01:24:03,680
Speaker 1: just speaking of fact. But anyway, good call Low. We

1398
01:24:03,720 --> 01:24:08,360
Speaker 1: appreciate scary times. Thomas, Texas Next Sean Hannity Show, It's up, Thomas.

1399
01:24:09,200 --> 01:24:11,439
Speaker 1: I'm a huge fan. Tried multiple times to get you.

1400
01:24:11,680 --> 01:24:14,760
Speaker 1: I want to segue off of Joe Biden. First, I think,

1401
01:24:14,920 --> 01:24:17,160
Speaker 1: how are he gotten office? In my opinion, should never

1402
01:24:17,200 --> 01:24:20,519
Speaker 1: be removed to show all Americans than the emperor's new clothes.

1403
01:24:20,840 --> 01:24:23,120
Speaker 1: As we say in Texas, he must ride that crutter

1404
01:24:23,200 --> 01:24:26,759
Speaker 1: to the ground. He placed an unconstitutional executive fiat regarding

1405
01:24:26,840 --> 01:24:29,839
Speaker 1: mask on federal property. He is the White House federal property.

1406
01:24:30,040 --> 01:24:32,920
Speaker 1: Now the other reason I called I have also a

1407
01:24:32,920 --> 01:24:35,760
Speaker 1: martial arts background as well as being a physician. And

1408
01:24:35,800 --> 01:24:39,599
Speaker 1: you mentioned thumbholes, you know, but humans on mind, body

1409
01:24:39,760 --> 01:24:43,080
Speaker 1: altering chemicals don't respond to painful stimuli and they don't

1410
01:24:43,080 --> 01:24:45,560
Speaker 1: behave Actually the police drop him off. And you know,

1411
01:24:45,640 --> 01:24:48,120
Speaker 1: we've discussed this in the past. That and that's a

1412
01:24:48,280 --> 01:24:52,280
Speaker 1: very good point that other you know, students, So I

1413
01:24:52,360 --> 01:24:56,360
Speaker 1: add one grand master actually call one day and bring

1414
01:24:56,400 --> 01:25:00,040
Speaker 1: that point up, and I agree with you. And and

1415
01:25:00,080 --> 01:25:02,320
Speaker 1: there were people that aren't feeling pain because they're on

1416
01:25:02,400 --> 01:25:05,240
Speaker 1: so much of this crap whatever is out there, pain killers.

1417
01:25:05,640 --> 01:25:08,360
Speaker 1: But in the what I saw, specifically in the case

1418
01:25:08,400 --> 01:25:12,519
Speaker 1: of George Floyd I was speaking specifically to, that was

1419
01:25:12,560 --> 01:25:16,599
Speaker 1: a guy that clearly was feeling pain and and being

1420
01:25:16,680 --> 01:25:20,080
Speaker 1: compliant and hadn't already been handcuffed. And you know, if

1421
01:25:20,120 --> 01:25:22,960
Speaker 1: you or how long have you been involved in martial arts,

1422
01:25:24,400 --> 01:25:26,320
Speaker 1: that was that was back in college. I didn't go

1423
01:25:26,360 --> 01:25:28,080
Speaker 1: all the way to black belt just because of what

1424
01:25:28,200 --> 01:25:31,400
Speaker 1: it carried with it. And I don't want to do

1425
01:25:31,439 --> 01:25:33,400
Speaker 1: the work to be a black belt. It's too much work,

1426
01:25:33,479 --> 01:25:36,439
Speaker 1: too much studying, too much, it's too hard. I'm going

1427
01:25:36,479 --> 01:25:40,080
Speaker 1: to get the crap beat out of me for eight hours. Yeah,

1428
01:25:40,120 --> 01:25:43,960
Speaker 1: I was one stripe away. But for us, the police

1429
01:25:44,000 --> 01:25:46,400
Speaker 1: pick up these people, they drop them off with us

1430
01:25:46,439 --> 01:25:49,680
Speaker 1: to either defeat the Graham Reaper or detox them. They

1431
01:25:49,720 --> 01:25:52,719
Speaker 1: put out arrest lawrants for them, and then when they're

1432
01:25:52,760 --> 01:25:56,200
Speaker 1: detox or sober, we've released them. Is there something that

1433
01:25:56,240 --> 01:26:00,800
Speaker 1: we can do to help the police in hospital? D Crowdy? Yeah,

1434
01:26:00,800 --> 01:26:06,520
Speaker 1: you got you gotta elect conservative politicians, conservative governors, conservative legislatures.

1435
01:26:07,080 --> 01:26:11,040
Speaker 1: You got conservatives to Congress, conservatives in the Senate, and

1436
01:26:11,240 --> 01:26:13,960
Speaker 1: yeah we need a conservative president. There you go, It's

1437
01:26:13,960 --> 01:26:19,439
Speaker 1: the only answer. Amen. Appreciate your brother, Iron Sharp, appreciate it.

1438
01:26:19,479 --> 01:26:22,200
Speaker 1: Becky Michigan, Hey, Becky, how are you? Thanks for being patient?

1439
01:26:23,040 --> 01:26:25,920
Speaker 1: Oh hey Sean, thanks for having me here. I'm just

1440
01:26:26,080 --> 01:26:29,160
Speaker 1: up here in lockdown, Michigan with Whitmer, and I just

1441
01:26:29,200 --> 01:26:33,599
Speaker 1: wanted to let you know that Fox seventeen put out

1442
01:26:33,640 --> 01:26:38,559
Speaker 1: an article today announcing that Governor Gretchen Whitmer is going

1443
01:26:38,600 --> 01:26:42,639
Speaker 1: to be receiving a Profile and Courage Award for her

1444
01:26:42,800 --> 01:26:47,839
Speaker 1: service during the COVID nineteen pandemic. So I went online

1445
01:26:47,880 --> 01:26:50,400
Speaker 1: to just do a little research to find out where

1446
01:26:50,400 --> 01:26:53,719
Speaker 1: the JFK Profile and Courage Award comes from. It comes

1447
01:26:53,720 --> 01:26:57,559
Speaker 1: from Massachusetts, so I was not surprised to see below

1448
01:26:57,600 --> 01:27:01,320
Speaker 1: it that Tom Romney also got the award for being

1449
01:27:01,439 --> 01:27:06,120
Speaker 1: the Republican to commit or to convict President Trump, and anyway,

1450
01:27:06,160 --> 01:27:08,800
Speaker 1: that's neither here nor there. I just wondered if they

1451
01:27:08,800 --> 01:27:13,040
Speaker 1: actually asked the people who live in these states about

1452
01:27:13,080 --> 01:27:15,400
Speaker 1: this type of thing in a face he think that

1453
01:27:15,479 --> 01:27:18,280
Speaker 1: she should receive this type of award, and what the

1454
01:27:18,360 --> 01:27:21,200
Speaker 1: people would say here in our state, because I know

1455
01:27:21,320 --> 01:27:23,880
Speaker 1: most people would not excuse me. Is this the same

1456
01:27:24,479 --> 01:27:28,200
Speaker 1: you know, Whitlas Whitmer that was out there lying to

1457
01:27:28,240 --> 01:27:30,880
Speaker 1: the people of Michigan saying she never left the state,

1458
01:27:30,920 --> 01:27:34,960
Speaker 1: but she did go down to Florida. The same governor

1459
01:27:35,000 --> 01:27:39,559
Speaker 1: whose husband at a time when nobody was allowed to

1460
01:27:39,600 --> 01:27:43,120
Speaker 1: get out on their boats, whose husband was out on

1461
01:27:43,120 --> 01:27:48,400
Speaker 1: his boat. Is this the same person that that screwed

1462
01:27:48,520 --> 01:27:51,720
Speaker 1: up this whole thing from start to finish. You know,

1463
01:27:51,760 --> 01:27:54,040
Speaker 1: it's sort of like, you know, Andrew Cuomo gets an

1464
01:27:54,080 --> 01:27:56,800
Speaker 1: m and Barack Obama gets a Nobel Peace Prize. I

1465
01:27:56,840 --> 01:28:00,920
Speaker 1: don't know what to tell you. Unbelievable. Yeah, I don't

1466
01:28:00,960 --> 01:28:03,040
Speaker 1: even have words for it anymore. So I just wanted

1467
01:28:03,080 --> 01:28:05,080
Speaker 1: to tell you because I know you feel our pains.

1468
01:28:05,960 --> 01:28:08,280
Speaker 1: Oh I do, and I have a lot of friends

1469
01:28:08,280 --> 01:28:11,280
Speaker 1: in Michigan. I'll tell you it's rough. There anyway, I

1470
01:28:11,320 --> 01:28:14,000
Speaker 1: appreciate the call. Thanks for your patients, Becky eight hundred

1471
01:28:14,000 --> 01:28:16,519
Speaker 1: and nine for one. Sean, all right, that's gonna wrap

1472
01:28:16,640 --> 01:28:19,960
Speaker 1: up things for today, Hannity. Tonight. We got a lot

1473
01:28:20,040 --> 01:28:23,920
Speaker 1: to get to tonight, including breaking news. We have let's

1474
01:28:23,960 --> 01:28:28,559
Speaker 1: see Congressman Jordan Ron Johnson all asking demanding the FBI

1475
01:28:28,760 --> 01:28:32,920
Speaker 1: for answers on these Fizer violations after new FISA court

1476
01:28:32,960 --> 01:28:35,479
Speaker 1: opinion has been issued. And of course the latest on

1477
01:28:35,520 --> 01:28:41,280
Speaker 1: the grass Lee Johnson memos slamming intelligence for partisan information leaks,

1478
01:28:41,320 --> 01:28:45,320
Speaker 1: and the CIA recruitment videos slammed as Wolke propaganda. I

1479
01:28:45,360 --> 01:28:48,280
Speaker 1: can't even believe we have to debate these things. We'll

1480
01:28:48,320 --> 01:28:52,920
Speaker 1: get into the horrible treatment of police officers as well.

1481
01:28:53,880 --> 01:28:56,680
Speaker 1: We'll show you the videotape, this horrible tape of a

1482
01:28:56,760 --> 01:29:00,800
Speaker 1: woman just vicious to this cop. So we'll get into that.

1483
01:29:00,840 --> 01:29:04,519
Speaker 1: We'll have Josh Holly on as well. He'll join us,

1484
01:29:04,600 --> 01:29:07,439
Speaker 1: Eric Trump from the Trump Organization, and we'll give you

1485
01:29:07,479 --> 01:29:11,360
Speaker 1: a preview of everything from California tomorrow in our interview

1486
01:29:11,400 --> 01:29:13,680
Speaker 1: with Caitlyn Jenner. Thanks for being with us as all

1487
01:29:13,680 --> 01:29:17,000
Speaker 1: you always see it tonight from the Golden State Tomorrow,