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Speaker 1: Mr garbusch Off teared down this wall. Either you're with

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Speaker 1: us or you were with the terrorists. If you've got

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Speaker 1: healthcare already, then you can keep your plan. If you

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Speaker 1: are satisfied with Trump is not president of the United States,

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Speaker 1: take it to a bank together. We will make America

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Speaker 1: great again. You'll never sharend It's what you've been waiting

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Speaker 1: for all day. The buck Sexton Show joined the conversation,

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Speaker 1: called Buck toll free at eight four four nine hundred Buck.

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Speaker 1: That's eight four four, nine hundred to eight to five,

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Speaker 1: the Future of talk radio. Buck Sexton Department SWAT team

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Speaker 1: approached the vehicle. The suspect detonated a bomb inside the vehicle,

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Speaker 1: knocking one of our SWAT officers back, and one of

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Speaker 1: our SWAT officers fired at the suspect as well. The

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Speaker 1: suspect is deceased UH and has significant injuries from a

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Speaker 1: blast that occurred from detonating a bomb inside his vehicle.

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Speaker 1: Welcome to buck Sexton Show everyone. You heard it there

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Speaker 1: from the Austin Police Chief. The serial bomber has been caught,

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Speaker 1: or rather he's no longer with us. He is UH.

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Speaker 1: He has been found, He detonated a bomb, he killed

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Speaker 1: himself and looks like the terror that was visited upon

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Speaker 1: the city of Austin in recent weeks is most likely over.

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Speaker 1: There still could be some bombs circulating out there, but

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Speaker 1: right now we are praying and fingers crossed and very

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Speaker 1: hopeful that this has all come to an end. Here

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Speaker 1: here's what we know about this particular mad bomber. His

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Speaker 1: name is Mark Anthony Condit. He's twenty three years old.

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Speaker 1: He was homeschooled, grew up in the Austin area. Had

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Speaker 1: spent some time on Internet sites doing a research for

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Speaker 1: his bomb making. It's believe that he did this all himself,

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Speaker 1: that he just created these. He ordered some batteries, unusual

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Speaker 1: batteries online from Asia as part of his bomb making.

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Speaker 1: According to the Daily Mail, bought some equipment from a

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Speaker 1: home depot store. This was all uh D I y

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Speaker 1: serial murder from Mark Anthony Condit. They were able to

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Speaker 1: zero in on him because of his FedEx. His FedEx

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Speaker 1: stop so, as many of us said, including uh when

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Speaker 1: it initially happened, I was over at Fox, I said,

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Speaker 1: I think FedEx is going to be what what breaks

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Speaker 1: this case open? And sure enough it was because they

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Speaker 1: had cameras in place, and once you had him on

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Speaker 1: although he was in disguise. It kind of a wig

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Speaker 1: and a hole this guy set up. But once you

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Speaker 1: knew where the suspect was at the time, you could

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Speaker 1: then use cell phone data. And also I've seen reports

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Speaker 1: that they looked up his Google search history became a

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Speaker 1: person of interest. The digital footprint here was what did

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Speaker 1: him in. Well, homemade bomb that he didn't it himself

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Speaker 1: really did him in. But I mean his he was

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Speaker 1: captured because of the Internet and because of technology. So

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Speaker 1: that was the hope all along here. I think that

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Speaker 1: it was not well, it was possible maybe, but it

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Speaker 1: was unlikely that the serial bomber would be able to

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Speaker 1: stay out of closed circuit television surveillance, that he would

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Speaker 1: be able to evade all of the mechanisms that are

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Speaker 1: in our day to day lives now as a result

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Speaker 1: of the technology all around us. And so we don't

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Speaker 1: have him a testy on our hands. You know, the

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Speaker 1: mad bomber in New York City, as I mentioned in

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Speaker 1: the fifties, almost I think for around a decade terrorized

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Speaker 1: New York City thirty three bombs. The UNI bomber ted

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Speaker 1: Kazinski sixteen years I think it took before they finally

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Speaker 1: got him. Um. Now, this bomber didn't have quite the

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Speaker 1: ops sack, perhaps of of a Kazinski Um, but we

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Speaker 1: were we were were lucky we got him when we did,

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Speaker 1: because he could have put many more of these bombs

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Speaker 1: out there if he If he had just stayed with

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Speaker 1: delivering bombs to doorsteps in the initial way, it might

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Speaker 1: have taken a lot longer to get him, and the

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Speaker 1: more people's lives could have been ended. I mean, what

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Speaker 1: a what's just a terrible waste Um that people were maimed,

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Speaker 1: people were killed by this maniac. It's it is heart wrenching,

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Speaker 1: it really is. It's a gut punch. Um. In terms

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Speaker 1: of motive, I still don't know. This kid was homeschool

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Speaker 1: a bunch of community college um, unemployed at the time

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Speaker 1: of his I was gonna say at the time of

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Speaker 1: his arrest, but it's really at the time of his detonation,

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Speaker 1: and they don't have much on They say he was quiet,

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Speaker 1: They say that he um was reasonably polite, kind of

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Speaker 1: a loner and comes from a nice family. They're saying,

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Speaker 1: you know, this is not what would have fit the

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Speaker 1: profile in a lot of ways. I think people were

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Speaker 1: expecting a different a different character here. Yeah, he's a

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Speaker 1: he's a single white male. He's a little on the

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Speaker 1: younger side I think for cerial bombers. But single white male, loner,

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Speaker 1: well not even really a loner. He lived with roommates,

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Speaker 1: just quiet, perhaps better way to put it. Uh, something

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Speaker 1: was deeply wrong here, something was twisted in his mind.

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Speaker 1: He had he had chosen the darkness, my friends, he

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Speaker 1: had chosen evil, gone down a path of evil. And

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Speaker 1: we know this from his actions. We also know that

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Speaker 1: he used the alias Kelly Kilmore uh for his FedEx packages,

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Speaker 1: Kelly kill Moore. So this was all premeditated. Obviously, he

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Speaker 1: thought a lot about it, He prepared for it, he experimented,

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Speaker 1: and this was a plot that he put into motion.

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Speaker 1: I mean, this was you know, we we'd like to

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Speaker 1: call him a madman because in some ways it maybe

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Speaker 1: feels more manageable for us to just think that he's

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Speaker 1: that the synapses in his brain were misfiring, that that

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Speaker 1: there was something clinically medically wrong with him. Maybe he

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Speaker 1: just chose evil. We don't have enough of a psychological

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Speaker 1: profile on him to know really what his background was

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Speaker 1: or how he was, I was gonna say, pushed into it.

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Speaker 1: That's the how he made this choice. How he made

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Speaker 1: this choice. Ah, it's a reminder as well of what

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Speaker 1: we face. This is a kid who didn't have anywhere

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Speaker 1: near the red flags and warning signs of the Parkland shooter,

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Speaker 1: Nicolas Cruz. Right in that case, you look at it,

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Speaker 1: you say to yourself, well, they should have done more.

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Speaker 1: And now we find out that law enforcement on the scene,

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Speaker 1: and I think that's very important. We're just trying it out.

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Speaker 1: What I'm criticizing what happened at Parkland in terms of

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Speaker 1: law enforcement response. It's just some who were there. Others

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Speaker 1: who were there showed bravery and and skill in their professions.

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Speaker 1: But there were some who clearly did not get another

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Speaker 1: one today that this was no and I'm sure right away,

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Speaker 1: but they waited and waited and waited. He found out

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Speaker 1: that one of the deputies was asleep in his patrol car,

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Speaker 1: the one who was supposed to be posted at the

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Speaker 1: very entrance that Nicholas Cruz used to go into the

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Speaker 1: building asleep in his car when this happened. I remember

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Speaker 1: when I was a the technical title, by the way,

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Speaker 1: because sometimes I'm on TV, they say different things that

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Speaker 1: are are close to the technical title was Intelligence research specialist.

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Speaker 1: It's is fancy way of saying an analyst or the

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Speaker 1: Intelligence Division, the NYPD. But I remember that the guys

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Speaker 1: told me, They're like, one thing we promise you is

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Speaker 1: if you're found sleeping on this job, you will be

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Speaker 1: suspended and you might be fired. You cannot get you

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Speaker 1: are a law enforcement entity here. You cannot literally be

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Speaker 1: asleep on the job. And I always remember that, and

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Speaker 1: and they were, they were absolutely serious about it. It

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Speaker 1: was like there was that rule, and there was if

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Speaker 1: you well failed the drug test. They had another term

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Speaker 1: that they used for it that was a little crasp,

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Speaker 1: but if you failed the drug test, you all you

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Speaker 1: were automatically suspended pending termination. That was it. There was

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Speaker 1: no like, oh, let's talk about this or give me

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Speaker 1: a second chance. Sleeping was the same thing a Parkland deputy, well,

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Speaker 1: i should say a Broward County deputy at the shooting

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Speaker 1: in Parkland was literally a leap on the job. But

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Speaker 1: you look at this, you say, okay, law enforcement failed. Uh,

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Speaker 1: there were all these missigns. FBI missed the tips with

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Speaker 1: Mark Anthony Condit and the Austin SIRA bombing. Mark Anthony Condit,

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Speaker 1: twenty three years old. I'm not seeing the red flags anywhere,

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Speaker 1: And I'm not even sure which which is really scarier, folks,

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Speaker 1: The evil maniact that everyone knows about that no one

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Speaker 1: can stop, or the quiet, sadistic killer that you can't

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Speaker 1: see coming. I think you can make a case it's

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Speaker 1: worse either way. I mean they're just both evil and

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Speaker 1: both things that we have to be vigilant against and

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Speaker 1: fight against. And people who are now I saw the

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Speaker 1: beginnings of the conversation about well, you know, we have

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Speaker 1: to do more to stop somebody from being able to

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Speaker 1: build bombs. Now you're talking about just regulating everyday chemicals

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Speaker 1: out of exist. I mean, it's just not possible. This

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Speaker 1: guy did not have any military story an, did not

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Speaker 1: have any intelligence training. He was able to figure this out.

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Speaker 1: And if he, by the way, if if he had

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Speaker 1: had any real professional background in explosives, tactics, techniques and procedures,

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Speaker 1: if he had had any tradecraft operational security taught to him,

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Speaker 1: he would have been a much more lethal serial bomber

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Speaker 1: than he was. But he figured out the bomb components

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Speaker 1: of this himself. And you know, people I saw a

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Speaker 1: lot of folks going on TV saying, well, you know,

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Speaker 1: clearly there's a sophisticational level of expertise. No, this is

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Speaker 1: not hard to do. You know, there's a whole span

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Speaker 1: I mean bomb making and expert explosives like any other area.

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Speaker 1: There's there's familiarity, I have familiarity EXPI explosives, and then

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Speaker 1: there's real expertise, which only comes from dealing with them,

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Speaker 1: handling them, defusing them. Right, that's the level you get

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Speaker 1: at SWAT teams EO D, military e O D. You

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Speaker 1: know they and they'll tell you that once you learn

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Speaker 1: the basics of how to do this, it's not hard

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Speaker 1: to do to build a bomb like this to kill

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Speaker 1: innocent people. There's a whole the whole range of bomb

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Speaker 1: maker skill and bomb diffusal skill out there. So this

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Speaker 1: guy was was low on the skill spectrum, but enough

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Speaker 1: to be lethal in the context of just trying to

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Speaker 1: blow up people in the Austin area. We don't know

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Speaker 1: anything about the targets set yet. Um, we don't know

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Speaker 1: anything about I want to say anything. We know who's

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Speaker 1: hit obviously, but we don't have any analysis of why

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Speaker 1: not that I've seen law enforcement. They don't know what

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Speaker 1: the motive is, but they also don't even know what

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Speaker 1: would cluster together the addresses that he chose, not not

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Speaker 1: something that has been made clear, so we'll continue to

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Speaker 1: follow this. The good news is, uh, this evil piece

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Speaker 1: of refuse is gone, blew himself up in the car

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Speaker 1: when police confronted him, and assuming that there are no

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Speaker 1: more of these devices out there, but we have to

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Speaker 1: hope that that is the case, and law Enforce is

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Speaker 1: working very hard to figure out if that is the

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Speaker 1: case or not. This has finally come to an end.

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Speaker 1: So we're very thankful for the people of Austin that

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Speaker 1: this nightmare is hopefully over and that the country can

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Speaker 1: breathe a sigh of relief. UM. But as with so

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Speaker 1: many of these cases, will not be the last, so

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Speaker 1: we should just be psychologically prepared for that, and you

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Speaker 1: have to maintain a level of vigilance. UM. Give you

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Speaker 1: a sense of where we're going here. We're gonna have

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Speaker 1: the Attorney General joining us to talk about battling the

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Speaker 1: opioid crisis, or Jeff Sessions will be our guests coming

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Speaker 1: up here in just a few minutes. I'll give you

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Speaker 1: more of my thoughts on the opioid crisis as well,

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Speaker 1: and then we'll talk about the uh situation of former

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Speaker 1: senior intelligence officers from the Obama administration who are now

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Speaker 1: popping up on TV left and right and just trashing Trump.

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Speaker 1: That's very It's not just that it annoys me. I

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Speaker 1: think what they're saying is untrue. I think it's unethical.

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Speaker 1: I've got a big problem with it. Also, the call

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Speaker 1: to Russia, with the call to putin and the leak

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Speaker 1: about what Trump said or did not say, we'll address that.

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Speaker 1: We got follow up on the Facebook Cambridge Analytica story.

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Speaker 1: Here's a short version. Everything I told you is looking

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Speaker 1: more and more accurate in terms of the analysis with

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Speaker 1: each passing day. Now, so I was right and the

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Speaker 1: entire mainstream media was wrong. There's no surprise there. But

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Speaker 1: we'll give you some of the details. And we've got

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Speaker 1: basically a lot more show and and some free speech

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Speaker 1: issues coming up later in the show too. YouTube kicking

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Speaker 1: firearms videos off the platform, and a guy in the

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Speaker 1: UK who is heading to prison or making an offensive video.

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Speaker 1: We'll hit that and more. We come back, stay, wouldn't

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Speaker 1: he y? So we're about to talk about the opioid crisis.

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Speaker 1: Here on the show, we have Attorney General Jeff Sessions

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Speaker 1: will be our guests in just a few moments. We're

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Speaker 1: looking forward to asking him about what the administration is

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Speaker 1: going to do when it comes to, uh, the pandemic

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Speaker 1: of overdoses, and we will get to get to that

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Speaker 1: with him shortly. Here we have but there's a story

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Speaker 1: that I just want to note I I saw and

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Speaker 1: here's I'm kind of in shock. I missed this somehow.

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Speaker 1: Producer Mike brought it to my attention. It's from CNN.

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Speaker 1: A Florida judge said bond Tuesday at five thousand dollars

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Speaker 1: for Zachary Cruise, the younger brother of Parkland shooter Nicholas Cruz,

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Speaker 1: for a misdemeanor trespassing charge, despite protestations from his de

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Speaker 1: vents attorney, who said his client was being punished for

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Speaker 1: his brother's crime. Appearing via video before the same judge

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Speaker 1: and in the same quard room as his brother had

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Speaker 1: days earlier, Zachary Cruise stood shackled in a brown jump

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Speaker 1: student sandals. He was surrounded by three deputies. Seven hundred

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Speaker 1: He's got a seven hundred fifty dollar bond. Uh. Oh,

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Speaker 1: I'm sorry, that's for the Younger Cruises release. WHOA. I

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Speaker 1: was like, that is um, that's wait, no, is that

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Speaker 1: the is the brother older or younger? Is it the

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Speaker 1: older brother younger brother? Mike hold on making Oh no,

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Speaker 1: yeah it was it was the younger brother. Seven fifty

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Speaker 1: dollar bond. Wow for I mean obviously the other I

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Speaker 1: had to think about this for a second, but yeah,

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Speaker 1: the Nicholas Cruise has no bond. I mean he's probably

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Speaker 1: facing the death penalty, but that's a lot. That's a

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Speaker 1: big price tag for what, as I understand as a

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Speaker 1: trespassing charge. The Wow, they're throwing the book at this guy.

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Speaker 1: They're not messing around. But here's what happened, uh after cruises.

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Speaker 1: Back to the CNN piece here after Cruises arrest. This

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Speaker 1: is re member the Younger Cruise, the younger brother, Nicholas Cruise,

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Speaker 1: the shooter at Marjorie Stoneman Douglas High School. There's all

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Speaker 1: kinds of problems and warning signs with this guy too.

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Speaker 1: After cruising arrest Monday in Parkland, the eighteen year old

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Speaker 1: told police he wanted to reflect on the school shooting

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Speaker 1: and soak it in the team had no ties to

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Speaker 1: Broward County, and then he surpassed all locked doors and

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Speaker 1: gates and proceeded to ride his skateboard through school grounds.

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Speaker 1: So Nicholas cruise the school shooters younger brother who's eighteen,

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Speaker 1: so he's an adult. I thought that it would be

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Speaker 1: a good idea to trespass on Marjorie Stoneman Douglas grounds

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Speaker 1: and go skateboarding through the school to soak it all

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Speaker 1: in in reference to the shooting. Wow, uh, they they

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Speaker 1: need to keep an eye on this guy. Well, I

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Speaker 1: guess they're going to he's got a seven our bond.

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Speaker 1: I wonder what the I'm trying to look and see here.

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Speaker 1: I just Mike just told me about this before we

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Speaker 1: went into the break. I wasn't planning and discussing this.

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Speaker 1: I'm just seeing the story in in the last few

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Speaker 1: minutes here. But I'm wondering how long what kind of

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Speaker 1: charges he faces Right now? He had a bunch of

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Speaker 1: theft and criminal mischief please from his juvenile record, So

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Speaker 1: they're trying they're using that to say, wow, yeah, here

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Speaker 1: we go, guys. That the the usual trespassing bond is

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Speaker 1: twenty five dollars. That's what That's what it usually costs

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Speaker 1: to get out on bond. For trespassing and uh in

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Speaker 1: Brower Counties twenty five dollars. They're holding this guy in

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Speaker 1: seven and fifty thousand dollars bond. Ah there, whoa, this

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Speaker 1: is interesting, But he violated I'm sorry, he's got an

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Speaker 1: ankle monitor on here. He was instructed to have no

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Speaker 1: contact with what you got, Mike. They they're holding him,

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Speaker 1: uh involuntarily and uh under evaluation under the Baker Act.

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Speaker 1: So they're holding a brother under the Baker Act. Ah. Wow,

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Speaker 1: they're not gonna I'm not gonna let that slip through

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Speaker 1: the cracks this time. Okay, So this, this is a

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Speaker 1: this is a big update to the story. Thank you

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Speaker 1: for bringing this to my attention. I didn't I didn't

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Speaker 1: know about this one. So the younger brother now being

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Speaker 1: held and there they're trying to see if he's a

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Speaker 1: risk to the public as well. Um, this, this shooting

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Speaker 1: in Parkland is the story is still moving, still moving

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Speaker 1: along here. Um, all right, we got to the attorney

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Speaker 1: I'm gonna have to switch topic because we have the

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Speaker 1: Attorney General of the United States calling in a few

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Speaker 1: minutes talk to us about the opioid crisis. We're gonna

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Speaker 1: talk about that, So stay with me. Welcome back everyone.

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Speaker 1: The administration is tackling the opioid crisis and they are

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Speaker 1: taking real tangible steps to save lives in this country.

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Speaker 1: Right now, De douce with smart and sensible policy. To

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Speaker 1: tell us what some of those steps are. We are

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Speaker 1: joined by the Attorney General of the United States, Jeff Sessions. UH,

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Speaker 1: Mr Attorney General, thank you so much for calling us.

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Speaker 1: We appreciate it. Well, thank you. It's good to talk

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Speaker 1: with you, and it is indeed an important subject. Tell

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Speaker 1: us what the administration. I know you've been outlining the plans,

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Speaker 1: but for those listening, what are the main points of

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Speaker 1: assault on this epidemic right now that you and the

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Speaker 1: rest of the administration are engaged into to save lives

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Speaker 1: and to to deal with the sixty four thousand dead

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Speaker 1: in the last complete year of opioid overdoses, um buck.

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Speaker 1: We are determined to bring those death numbers down. They

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Speaker 1: went up from fifty two thousand to sixty four thousand

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Speaker 1: to sixty six thousand. We think in seventeen we need

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Speaker 1: to bring those numbers down, not just play around with

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Speaker 1: this problem, but actually first these trends. The President declared

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Speaker 1: a health emergency, a national health emergency. And he was

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Speaker 1: with the first Lady in New Hampshire earlier in the

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Speaker 1: week and I was with him there with several Cabinet members,

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Speaker 1: and he made clear that this is a top priority

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Speaker 1: for him. The first Lady had been through a knee

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Speaker 1: on natal unit where babies are being born addicted to drugs,

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Speaker 1: and she talked about that. UM and UH, I remember

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Speaker 1: being in New Hampshire earlier last year when UH we

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Speaker 1: stood with nine thousand high school students that d e

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Speaker 1: A had had put the event together with fifty mothers

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Speaker 1: holding up fifty and large portraits one of their children

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Speaker 1: who had died from a drug overdose. UH. He was

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Speaker 1: a moving, moving thing. So you are right, it's a big, big,

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Speaker 1: big issue. What are we doing. We're gonna have a

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Speaker 1: new data analytics program. We think a lot of the

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Speaker 1: addiction starts with prescription drug addiction. So this program kicks

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Speaker 1: out how many drugs are given doctor or hospital or

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Speaker 1: or pharmacy has dispensed. Some of them are shockingly outliers,

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Speaker 1: way above any normal expectation of prescriptions. UH. And they

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Speaker 1: even contract how many people are tied who've died from overdose,

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Speaker 1: who may have been getting drugs from that facility, so

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Speaker 1: it helps our agents identify corrupt uh people who are

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Speaker 1: moving these drugs. We're moving forward with civil litigation against

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Speaker 1: Big Farmer in some of the things that they're doing.

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Speaker 1: We're determined to bring down the number of prescriptions that

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Speaker 1: are actually properly prescribed. The presidential goal is to bring

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Speaker 1: those numbers down. We know that uh, these opioid prescripture

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Speaker 1: and pain killers can create addiction themselves. UH. Can you

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Speaker 1: speak the searchery gentle to the the issue specifically of

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Speaker 1: of enforcement when it comes to traffickers, because that's gotten

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Speaker 1: a lot of press attention recently, specifically with regard to

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Speaker 1: enhance penalties for drug trafficking. Where where's the DJ on

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Speaker 1: that word's administration on it? We are a hundred percent

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Speaker 1: behind that. We've got to get stronger sentences for fentanyl,

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Speaker 1: which is a number one killer drug, and we believe

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Speaker 1: and support the Sentencing Commission to raise uh the guidelines

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Speaker 1: for senacing, but we really need Congress to to improve

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Speaker 1: sentencing for that. The President has called for considering the

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Speaker 1: death penalty for some of these gangs and some of

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Speaker 1: these uh drug killers who are moving these drugs that

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Speaker 1: are causing so much death. Uh, and we support that.

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Speaker 1: I sent out a memo yet today to our every

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Speaker 1: United States attorney to consider the death penalty wherever it

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Speaker 1: was appropriate and if we think that that will go up. Uh.

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Speaker 1: And we have in every United States Attorney's office around

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Speaker 1: the country, ninety four of them an opioid specialists that

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Speaker 1: I've required them to establish. We have an opioid leader

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Speaker 1: here in Washington, UM that supports our prosecutors, and we

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Speaker 1: expect to continue to see a surge in prosecutions and

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Speaker 1: in fact, as you let me just advise you, but

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Speaker 1: over the last four or five years, UH, we've seen

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Speaker 1: a drop in prison population, in a drop an average

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Speaker 1: sentence for anyone convicted in federal court. We think that's

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Speaker 1: gone too far, and we're asking our prosecutors to identify

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Speaker 1: these uh big time gang don't bigglers, to prosecute them fully,

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Speaker 1: and if they deserve the death penalty, to speak that.

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Speaker 1: Attorney General Jeff Sessions is with us now here team

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Speaker 1: Attorney General. I've been looking for a while at the

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Speaker 1: connection between cartels and the opioid epidemic, and this is

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Speaker 1: a theory. It's something I've been working on trying to

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Speaker 1: do research for. I'm wondering if you can speak to

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Speaker 1: what what the connections are. I mean, do we have

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Speaker 1: some sense of the role and responsibility of Mexican based

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Speaker 1: drug car tells of the MS thirteen gang here in

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Speaker 1: the States and this huge surge because from the data

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Speaker 1: I'm seeing from various, uh you know, national government sources,

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Speaker 1: it seems like a lot of the overdoses we mentioned

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Speaker 1: sixty four thousand, a lot of the overdoses come from heroin,

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Speaker 1: which is always illegal, and fentonel, which is often illegal,

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Speaker 1: which to me suggests that the role of the cartels

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Speaker 1: in the opioid epidemic is much bigger than the media

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Speaker 1: is leading many of us to believe. You're exactly correct

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Speaker 1: about this. Almost all centinnel and almost all heroine now

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Speaker 1: is coming across the border from Mexico. Mexico is a

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Speaker 1: growing poppy and record amounts. They need to spray more

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Speaker 1: of this poppy plant. Uh, and that would be a

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Speaker 1: big help and bus some more labs. But uh, they

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Speaker 1: make meth in unlimited amounts in Mexico. Now all our

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Speaker 1: met is not homemade, but almost all of it is

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Speaker 1: being transported across the border from big laboratories. The same

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Speaker 1: is true with heroin. We're seeing a lot of white

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Speaker 1: powder heroine. Uh even the heroine that's are driven and

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Speaker 1: distributed by the the UH Domedicans of Dominican Republic gangs

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Speaker 1: in the northeast UH is actually coming out of Mexico

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Speaker 1: and actually across the Mexican border. UH So heroin, cocaine, meth,

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Speaker 1: m fed amine centinel is overwhelmingly coming across the border

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Speaker 1: from Mexico. And the amount of being produced that are

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Speaker 1: being produced are greater than what we've ever seen in general.

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Speaker 1: And you've given us a lot of time, and I

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Speaker 1: don't I don't want to hold you up before we

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Speaker 1: let you go. If you can just tell me, what

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Speaker 1: do you think about some of these cities in California

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Speaker 1: that are trying to hold their own municipal referendums to

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Speaker 1: opt out of sanctuary city status. Well, we salute that

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Speaker 1: and we encourage that. It's just such a fundamental violation

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Speaker 1: of the One of the greatest things that's happened in

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Speaker 1: law enforcement over the last forty years is cooperation between federal,

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Speaker 1: state and all the local agencies. And what they're doing

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Speaker 1: is they won't even tell the federal of ice officials

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Speaker 1: that they have an illegal alien that they have condicted

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Speaker 1: of a drug crime, for example, and do to be released,

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Speaker 1: convicted of an assault, convicted of rate. They won't even

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Speaker 1: tell the federal officers who want to pick them up

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Speaker 1: and deport them. Uh. In California, I had to soothe

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Speaker 1: them last a week two weeks ago over there state

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Speaker 1: law that says a private business who's approached by an

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Speaker 1: ice officer to enquire about illegal aliens in the workforce, uh,

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00:27:29,160 --> 00:27:33,320
Speaker 1: they cannot allow on their own property the ice officer

429
00:27:33,480 --> 00:27:37,240
Speaker 1: to come on on the premises. It's some really extreme

430
00:27:37,560 --> 00:27:41,879
Speaker 1: action being taken in California. The gist of it is

431
00:27:42,680 --> 00:27:46,600
Speaker 1: they want to eviscerate the law. They really believe in

432
00:27:46,800 --> 00:27:51,280
Speaker 1: open borders, and anybody that gets across the border, uh,

433
00:27:51,480 --> 00:27:54,520
Speaker 1: they believe should not be ever to be deported. It's

434
00:27:54,600 --> 00:27:57,879
Speaker 1: really a radical thing, and and I'm so proud that

435
00:27:58,000 --> 00:28:01,200
Speaker 1: a number of the cities are standing up. Attorney General

436
00:28:01,280 --> 00:28:03,560
Speaker 1: Jeff Sessions. We really appreciate your time, sir, thank you

437
00:28:03,640 --> 00:28:06,560
Speaker 1: for all you're doing, and thanks for joining us well.

438
00:28:06,720 --> 00:28:09,760
Speaker 1: Thank you, and I appreciate your interest in study in

439
00:28:09,840 --> 00:28:12,240
Speaker 1: this matter. Thank you very much, sir. Seeing we're gonna

440
00:28:12,280 --> 00:28:14,760
Speaker 1: roll into a break. We'll be back in just a

441
00:28:14,840 --> 00:28:19,560
Speaker 1: few moments eight four four to five, buck, We'll be

442
00:28:19,680 --> 00:28:34,960
Speaker 1: right back. This epidemic can affect anyone, and that's why

443
00:28:35,720 --> 00:28:39,880
Speaker 1: we want to educate everyone. The second part of our

444
00:28:39,920 --> 00:28:44,320
Speaker 1: initiative is to reduce the supply of illicit drugs. Of

445
00:28:44,400 --> 00:28:48,320
Speaker 1: the heroine in America comes from our southern border, where

446
00:28:48,360 --> 00:28:51,920
Speaker 1: eventually the Democrats will agree with us and we'll build

447
00:28:51,960 --> 00:28:56,240
Speaker 1: the wall to keep the damn drugs out. President Trump

448
00:28:56,360 --> 00:28:58,240
Speaker 1: is right on this one, and he's been right for

449
00:28:58,320 --> 00:29:01,080
Speaker 1: a long time. I told you I've been looking at

450
00:29:01,080 --> 00:29:06,040
Speaker 1: the numbers, and the numbers don't lie. We've actually seen

451
00:29:06,120 --> 00:29:10,680
Speaker 1: a decrease in the last few years in prescriptions written

452
00:29:11,240 --> 00:29:18,160
Speaker 1: for opioids. People have been overdosing on pain medication, one

453
00:29:18,280 --> 00:29:22,640
Speaker 1: kind or another opioid based for quite a few years.

454
00:29:23,800 --> 00:29:26,320
Speaker 1: When you look at the statistics, what you find out

455
00:29:26,720 --> 00:29:30,560
Speaker 1: is that, sure enough, the enormous spike over the last

456
00:29:30,800 --> 00:29:35,800
Speaker 1: three or four years in opioid deaths has resulted from

457
00:29:35,840 --> 00:29:38,520
Speaker 1: fentanyl on heroin. And I just asked the attorney generally

458
00:29:38,560 --> 00:29:40,600
Speaker 1: United States, and he said, yes, this is true. It

459
00:29:40,720 --> 00:29:45,480
Speaker 1: is from fentyl and heroin. Illegal drugs are actually what

460
00:29:45,600 --> 00:29:48,600
Speaker 1: are what is killing a vast majority of the people

461
00:29:48,640 --> 00:29:52,800
Speaker 1: that are overdosing. Now, there's sometimes fentinyl. I've known people

462
00:29:52,880 --> 00:29:55,720
Speaker 1: that have said that fentinyl can be prescribed in certain circumstances,

463
00:29:55,800 --> 00:29:57,719
Speaker 1: but a vast majority of the fentanyl the people are

464
00:29:57,760 --> 00:30:02,240
Speaker 1: getting is a version that's made in labs illegally and

465
00:30:02,280 --> 00:30:06,240
Speaker 1: distributed illegally. So it's the illegal drug trade, folks, that

466
00:30:06,520 --> 00:30:09,360
Speaker 1: is the reason we have sixty four thousand dead Americans

467
00:30:10,560 --> 00:30:15,080
Speaker 1: in the last year. It's a lot. I don't have

468
00:30:15,160 --> 00:30:17,280
Speaker 1: to tell you that, but you look at it up

469
00:30:17,320 --> 00:30:21,760
Speaker 1: against other figures of what is causing deaths in this country.

470
00:30:21,800 --> 00:30:23,520
Speaker 1: It's the reason why you've actually had a decline in

471
00:30:23,640 --> 00:30:30,800
Speaker 1: life expectancy for for American males in recent years. Uh or,

472
00:30:30,960 --> 00:30:33,640
Speaker 1: I think it might have stalled out. Life expectancy is

473
00:30:33,680 --> 00:30:35,880
Speaker 1: something you wouldn't expect to see in any direction except

474
00:30:36,440 --> 00:30:39,160
Speaker 1: a positive one in this country. But I put all

475
00:30:39,240 --> 00:30:41,680
Speaker 1: this together a while ago. Remember we had our friend

476
00:30:41,760 --> 00:30:44,480
Speaker 1: from Mexico City to journalist to you own Grillo joined.

477
00:30:44,480 --> 00:30:47,560
Speaker 1: I said, you Own, there's more violence in Mexico and

478
00:30:47,640 --> 00:30:50,680
Speaker 1: there's ever been before. The cartels are more powerful than

479
00:30:50,720 --> 00:30:56,240
Speaker 1: they have ever been. Right now, you have news stories

480
00:30:56,360 --> 00:30:58,920
Speaker 1: coming out of Mexico that looked like they were written

481
00:30:59,000 --> 00:31:03,400
Speaker 1: by some fantasy assist thriller novel writer, and they're real.

482
00:31:04,280 --> 00:31:08,720
Speaker 1: You know, thirty forty man assault teams on the cartel

483
00:31:08,840 --> 00:31:13,240
Speaker 1: side with automatic weapons and RPGs going up against federalist

484
00:31:13,240 --> 00:31:17,720
Speaker 1: going up against Mexican Marines. You're not hearing about it

485
00:31:17,800 --> 00:31:20,040
Speaker 1: here in this country, but that's happening, and that's been

486
00:31:20,040 --> 00:31:23,480
Speaker 1: happening last year or so in Mexico. You also have

487
00:31:23,680 --> 00:31:27,440
Speaker 1: these gangs like MS thirteen that are becoming more brazen

488
00:31:27,560 --> 00:31:32,840
Speaker 1: and more distributed in cities across the country. And oh,

489
00:31:33,000 --> 00:31:37,080
Speaker 1: by the way, the human smuggling networks for legal immigration

490
00:31:37,600 --> 00:31:41,680
Speaker 1: and the illegal immigrant diasper communities, that's right. That means

491
00:31:41,760 --> 00:31:46,440
Speaker 1: sanctuary cities, my friends. Illegal immigrant diaspora in the United

492
00:31:46,520 --> 00:31:53,160
Speaker 1: States is a highway now for the illegal drugs coming

493
00:31:53,240 --> 00:31:57,160
Speaker 1: into this country that are killing over sixty thousand Americans

494
00:31:57,200 --> 00:32:01,480
Speaker 1: a year. I knew that there was something wrong going

495
00:32:01,520 --> 00:32:02,920
Speaker 1: on here, and the media doesn't want to talk about

496
00:32:02,920 --> 00:32:09,080
Speaker 1: this because the moment, illegal immigration is undeniably a security

497
00:32:09,240 --> 00:32:13,840
Speaker 1: issue with tens of thousands of American lives at stake.

498
00:32:14,680 --> 00:32:17,959
Speaker 1: Doesn't that change the whole conversation, my friends, doesn't make

499
00:32:17,960 --> 00:32:20,440
Speaker 1: it a little harder. Just trot out a few people

500
00:32:20,560 --> 00:32:22,720
Speaker 1: here and there and say, look at this valedictorian who

501
00:32:22,800 --> 00:32:25,960
Speaker 1: was brought here illegally. How don't you feel terrible for

502
00:32:26,000 --> 00:32:29,280
Speaker 1: the valedictorian. Well, that's not really what we're talking about here,

503
00:32:29,320 --> 00:32:32,320
Speaker 1: are we. That's not really the policy issue that's at hand.

504
00:32:34,040 --> 00:32:35,680
Speaker 1: You can do that with any number of issues. You know.

505
00:32:35,720 --> 00:32:38,680
Speaker 1: They're nice, they're wonderful people who don't pay their taxes.

506
00:32:40,120 --> 00:32:42,280
Speaker 1: They go to prison for it. You don't see them

507
00:32:42,280 --> 00:32:44,520
Speaker 1: getting on CNN. Look at the wonderful guy that this is.

508
00:32:44,560 --> 00:32:46,320
Speaker 1: He just didn't pay his taxes for last ten years.

509
00:32:47,960 --> 00:32:50,760
Speaker 1: They do this with the legal imigration. They lie about it.

510
00:32:51,560 --> 00:32:53,440
Speaker 1: They try to twist the language and try to force

511
00:32:53,560 --> 00:32:56,640
Speaker 1: us to have discussions that aren't based in fact. And

512
00:32:56,720 --> 00:33:01,960
Speaker 1: they've been hiding this from you because the statistics in

513
00:33:02,040 --> 00:33:07,160
Speaker 1: Mexico are clear. The cartels are more violent, more dangerous

514
00:33:07,160 --> 00:33:09,600
Speaker 1: than they've ever been. There are a whole new cartels

515
00:33:09,680 --> 00:33:12,240
Speaker 1: popping up that people have even heard of this country

516
00:33:12,360 --> 00:33:16,120
Speaker 1: that are more powerful and more violent than some of

517
00:33:16,160 --> 00:33:20,960
Speaker 1: the ones they've supplanted and they are running heroin into

518
00:33:21,000 --> 00:33:22,959
Speaker 1: this country because they are growing it. Now they are

519
00:33:23,120 --> 00:33:30,840
Speaker 1: vertically integrated as a international drug commercial enterprise. They're not

520
00:33:31,000 --> 00:33:33,840
Speaker 1: just moving that. They used to move cocaine through Mexico

521
00:33:33,920 --> 00:33:36,160
Speaker 1: and the United States and marijuana and a lot in

522
00:33:36,240 --> 00:33:42,880
Speaker 1: the cocaine was grown in primarily Colombia, Peru, some in Venezuela.

523
00:33:44,160 --> 00:33:48,600
Speaker 1: Now they're just growing the heroine right in Mexico. And

524
00:33:48,680 --> 00:33:51,160
Speaker 1: what you find are, yes, there's a tie into the

525
00:33:51,280 --> 00:33:55,080
Speaker 1: prescription issue in this country with doctors putting out too

526
00:33:55,120 --> 00:33:57,760
Speaker 1: many prescriptions for opioids. But the time is that well,

527
00:33:57,800 --> 00:33:59,760
Speaker 1: when you start to shut this stuff down, now be

528
00:34:00,000 --> 00:34:04,560
Speaker 1: bull that have a need, a biological physical need for

529
00:34:04,920 --> 00:34:07,320
Speaker 1: opioids unless they're going to go through a proper detox

530
00:34:07,400 --> 00:34:10,200
Speaker 1: and get clean. They figure, well, I mean the heroine

531
00:34:10,280 --> 00:34:13,560
Speaker 1: is readily available and that I don't go into withdrawal

532
00:34:13,680 --> 00:34:17,560
Speaker 1: if I get the heroine. So gangs like m S.

533
00:34:17,600 --> 00:34:20,160
Speaker 1: THIRTEENA flooded the streets with heroin. Now it's cheaper, more

534
00:34:20,239 --> 00:34:22,200
Speaker 1: readily available than it has ever been in this country.

535
00:34:23,560 --> 00:34:26,319
Speaker 1: And that's happening despite the fact that we have, as

536
00:34:26,360 --> 00:34:29,759
Speaker 1: we've been talking about with the serial bomber case law

537
00:34:29,880 --> 00:34:34,200
Speaker 1: enforcement technology deployed that has made much easier to attract

538
00:34:34,320 --> 00:34:37,960
Speaker 1: organized crime. It's made it much more effective too, to

539
00:34:38,120 --> 00:34:41,040
Speaker 1: deal with violent crime of all kinds. Meanwhile, heroin is

540
00:34:41,080 --> 00:34:43,279
Speaker 1: flooding into the country. It's being grown across the border

541
00:34:43,320 --> 00:34:46,879
Speaker 1: in Mexico, the Mexic I mean, there are so many

542
00:34:46,960 --> 00:34:49,440
Speaker 1: levels where this is a problem, folks. The Mexican President

543
00:34:49,560 --> 00:34:53,960
Speaker 1: of Penyaeto, he's part of the pre the p r I.

544
00:34:55,280 --> 00:34:57,879
Speaker 1: They are the Mexican Revolutionary Party. They were the one

545
00:34:57,960 --> 00:35:00,880
Speaker 1: party in control of Mexico for over seven years. You

546
00:35:00,920 --> 00:35:04,080
Speaker 1: know what their policy was with the cartels, not really

547
00:35:04,120 --> 00:35:07,080
Speaker 1: a problem, just you know, don't cause too much issue

548
00:35:07,120 --> 00:35:11,080
Speaker 1: for us. And then they went out of power and

549
00:35:11,200 --> 00:35:15,440
Speaker 1: you had Vincente Fox and Calderone and they Mexican government

550
00:35:15,480 --> 00:35:19,120
Speaker 1: took on the drug cartels and lost fifty thousand plus

551
00:35:19,239 --> 00:35:25,640
Speaker 1: Mexicans doing it. Now you've got the party in in

552
00:35:25,760 --> 00:35:27,920
Speaker 1: place that was like, hey, why don't we try to

553
00:35:28,920 --> 00:35:31,239
Speaker 1: turn more of a blind eye to cartel activity and

554
00:35:31,280 --> 00:35:33,920
Speaker 1: the violence between much of the violences between the cartels

555
00:35:33,920 --> 00:35:37,800
Speaker 1: because they're fighting over turf, but they're flooding our streets.

556
00:35:38,040 --> 00:35:42,160
Speaker 1: The heroin that is being sold in Los Angeles Chicago

557
00:35:42,239 --> 00:35:44,640
Speaker 1: and the surrounding cities. Right, it's a hub spoke system

558
00:35:45,160 --> 00:35:47,400
Speaker 1: that's being sold in New York City, right where I am,

559
00:35:47,520 --> 00:35:50,520
Speaker 1: that's being sold in Long Island MS thirteen gangs penetrating

560
00:35:50,560 --> 00:35:53,320
Speaker 1: out in Long Islands, being sold all across the country

561
00:35:53,600 --> 00:35:58,680
Speaker 1: New York, Chicago, Los Angeles, Phoenix, New Orleans. I mean,

562
00:35:58,760 --> 00:36:03,360
Speaker 1: name a place. It's coming from Mexico and it's using

563
00:36:04,239 --> 00:36:06,880
Speaker 1: the same smugglers that are bringing in a legal immigrants.

564
00:36:08,040 --> 00:36:21,120
Speaker 1: We'll keep following this team. He's back with you now

565
00:36:21,480 --> 00:36:23,960
Speaker 1: because when it comes to the fight for truth, the

566
00:36:24,239 --> 00:36:27,680
Speaker 1: fuck never stops. Welcome to our two of the Buck

567
00:36:27,719 --> 00:36:30,120
Speaker 1: Sexton Show. Thank you so much for being here. You've

568
00:36:30,120 --> 00:36:33,360
Speaker 1: got a lot to get to, including the former CIA

569
00:36:33,520 --> 00:36:37,680
Speaker 1: director my old home agency, although I left before he

570
00:36:37,840 --> 00:36:43,120
Speaker 1: was running the show there, Uh Brennan speaking out on Trump.

571
00:36:43,200 --> 00:36:45,160
Speaker 1: Speaking out's a polite way of saying, and he's really

572
00:36:46,239 --> 00:36:50,560
Speaker 1: uh dumping on Trump in a way that is completely

573
00:36:51,120 --> 00:36:55,240
Speaker 1: unacceptable in my opinion for a former intelligence chief, particularly

574
00:36:55,280 --> 00:36:58,440
Speaker 1: one that just finished the job. Right. But I'll get

575
00:36:58,480 --> 00:37:01,200
Speaker 1: into why that bothers me so much a bit later on. Also,

576
00:37:01,640 --> 00:37:05,719
Speaker 1: the heat that Trump continues to get on Russia and

577
00:37:05,920 --> 00:37:09,719
Speaker 1: his call to Putin when Obama made the same call,

578
00:37:10,120 --> 00:37:13,600
Speaker 1: because I mentioned yesterday, and I also want to challenge

579
00:37:13,680 --> 00:37:16,439
Speaker 1: this on on policy grounds to what do they really

580
00:37:16,480 --> 00:37:21,040
Speaker 1: think the answer is to the difficult and delicate relationship

581
00:37:21,160 --> 00:37:23,719
Speaker 1: that the President United States has to have with the

582
00:37:23,800 --> 00:37:28,280
Speaker 1: Russian premiere. Mm hmm. We will ponder that one together.

583
00:37:29,120 --> 00:37:35,640
Speaker 1: And then the absolutely disgraceful leak of the president's phone

584
00:37:35,680 --> 00:37:38,480
Speaker 1: call and the instructions given to him from what is

585
00:37:38,520 --> 00:37:40,279
Speaker 1: believed one of his top aids. It has to be

586
00:37:40,360 --> 00:37:43,120
Speaker 1: somebody close to him. The reports are that's a small

587
00:37:43,200 --> 00:37:44,719
Speaker 1: number of folks around. We'll get to all of that,

588
00:37:45,400 --> 00:37:47,319
Speaker 1: and then by the way third hour, you definitely should

589
00:37:47,360 --> 00:37:49,760
Speaker 1: stick around. Well, well, that's what I'm gonna be addressing.

590
00:37:49,920 --> 00:37:53,359
Speaker 1: The Brennan issue, and also a free speech case out

591
00:37:53,400 --> 00:37:59,160
Speaker 1: of the UK that is bizarre. Um, someone's going to

592
00:37:59,320 --> 00:38:01,480
Speaker 1: jail for a OK A comedian going to jail for

593
00:38:01,640 --> 00:38:08,080
Speaker 1: teaching his pug two raise its paw in response to

594
00:38:08,320 --> 00:38:15,759
Speaker 1: anti to an anti anti Semitic Nazi propaganda. Essentially he's

595
00:38:15,760 --> 00:38:17,600
Speaker 1: going to prison for that. And then also what YouTube

596
00:38:17,719 --> 00:38:20,920
Speaker 1: is doing to videos that try to show people how

597
00:38:21,040 --> 00:38:26,640
Speaker 1: to um fire guns and how they're blocking access to

598
00:38:26,840 --> 00:38:30,320
Speaker 1: websites that sell guns via YouTube. Now, this is active

599
00:38:30,400 --> 00:38:34,680
Speaker 1: censorship on the social media platforms, censorship along political lines

600
00:38:36,440 --> 00:38:40,279
Speaker 1: the mainstream media. We will wake up one day soon

601
00:38:40,360 --> 00:38:44,120
Speaker 1: and find out that the mainstream media is no longer dominant,

602
00:38:44,160 --> 00:38:47,239
Speaker 1: that its air of dominance is over, and we will

603
00:38:47,280 --> 00:38:52,200
Speaker 1: also realize that the era of progressive social media dominance

604
00:38:52,360 --> 00:38:54,120
Speaker 1: is now the new fight, and it is upon us.

605
00:38:54,200 --> 00:38:56,279
Speaker 1: Because they will have a huge headstart at that point.

606
00:38:56,640 --> 00:38:58,640
Speaker 1: Facebook is one of the most valuable companies in the world,

607
00:38:58,680 --> 00:39:02,160
Speaker 1: to Google not far behind. Twitter has also got quite

608
00:39:02,200 --> 00:39:08,560
Speaker 1: a bankroll. These are progressive, ideologically driven organizations. These social

609
00:39:08,600 --> 00:39:12,279
Speaker 1: media platform companies have every bit the same sense of

610
00:39:12,440 --> 00:39:16,399
Speaker 1: left wing evangelism that journalists working at the big three

611
00:39:16,480 --> 00:39:20,800
Speaker 1: networks for decades when they had a monopoly on TV news.

612
00:39:22,120 --> 00:39:24,919
Speaker 1: They had the same sense of purpose that was had

613
00:39:25,000 --> 00:39:27,480
Speaker 1: then they have now, and in many ways I think

614
00:39:27,480 --> 00:39:31,160
Speaker 1: they haven't even more powerful grip on the public because

615
00:39:31,200 --> 00:39:35,319
Speaker 1: you're interacting with this stuff all the time, which now

616
00:39:35,400 --> 00:39:38,759
Speaker 1: brings me to you just I'm hoping this will be

617
00:39:38,800 --> 00:39:43,960
Speaker 1: one of the last updates on the Cambridge Analytic story,

618
00:39:45,120 --> 00:39:46,680
Speaker 1: because I have been right on this one all along.

619
00:39:46,960 --> 00:39:48,799
Speaker 1: I will power myself on the back a little bit.

620
00:39:48,840 --> 00:39:52,360
Speaker 1: I said the initial headlines, Oh they have they've weaponized,

621
00:39:53,040 --> 00:39:59,799
Speaker 1: they've weaponized information about people. They're doing micro targeting. That's terrified. I'

622
00:40:00,160 --> 00:40:06,600
Speaker 1: cheological warfare weapon you mean marketing, you mean advertising campaigns

623
00:40:06,600 --> 00:40:13,440
Speaker 1: that try to base themselves upon information, demographic info, the

624
00:40:13,640 --> 00:40:16,719
Speaker 1: very broad stuff that's out. Well, it's worse than that.

625
00:40:16,840 --> 00:40:21,000
Speaker 1: It's psychological warfare through Facebook or all. Yeah, I knew

626
00:40:21,040 --> 00:40:22,880
Speaker 1: this would happen at the moment that people started to

627
00:40:22,960 --> 00:40:25,440
Speaker 1: say that, they thought that, And I mean people, I'm

628
00:40:25,480 --> 00:40:27,920
Speaker 1: talking even about some conservatives out there who think they

629
00:40:28,080 --> 00:40:29,919
Speaker 1: who think they know the constitution of the law really

630
00:40:29,920 --> 00:40:32,360
Speaker 1: well and think they understand things. They're like, oh, the

631
00:40:32,440 --> 00:40:35,040
Speaker 1: Mueller charge against Russia is really a shot across the

632
00:40:35,120 --> 00:40:38,520
Speaker 1: bow for democracy. It's like, well, I'm not sure that

633
00:40:39,800 --> 00:40:45,600
Speaker 1: Facebook accounts constitute a foreign foreign government engaging in information

634
00:40:45,719 --> 00:40:49,960
Speaker 1: warfare against the United States U. And I also think

635
00:40:49,960 --> 00:40:53,000
Speaker 1: that calling it a conspiracy to defrau the United States

636
00:40:53,080 --> 00:40:58,040
Speaker 1: based upon a conception of fraud as something you don't

637
00:40:58,120 --> 00:41:00,840
Speaker 1: like that interferes with what the governed does like is

638
00:41:00,960 --> 00:41:04,400
Speaker 1: not a good precedent descent. But putting that aside for

639
00:41:04,480 --> 00:41:08,480
Speaker 1: a moment here. Cambridge Analytic story is supposed to be

640
00:41:08,560 --> 00:41:12,719
Speaker 1: as follows. All this information was taken and this is

641
00:41:12,760 --> 00:41:14,680
Speaker 1: the summary version of what the media has been and

642
00:41:14,840 --> 00:41:16,600
Speaker 1: this has been like a top story if it if

643
00:41:16,640 --> 00:41:19,719
Speaker 1: it wasn't for the Austin Cereal bomber case, this would

644
00:41:19,760 --> 00:41:21,440
Speaker 1: have been the biggest news story this week so far.

645
00:41:22,120 --> 00:41:25,320
Speaker 1: I mean CNN this and CNN is Cambrage Analytica and

646
00:41:25,360 --> 00:41:30,160
Speaker 1: Stormy Daniels very different, very different stories. Uh that we

647
00:41:30,239 --> 00:41:35,160
Speaker 1: could that we can say, um yeah, But the storyline

648
00:41:35,160 --> 00:41:39,760
Speaker 1: they were running with was that Facebook allowed a breach,

649
00:41:40,000 --> 00:41:45,920
Speaker 1: a breach of information, and Cambrage Analytical, these super geniuses

650
00:41:46,239 --> 00:41:51,719
Speaker 1: of algorithms and manipulation, social media, manipulation of the masses,

651
00:41:53,120 --> 00:41:58,160
Speaker 1: elicitly used information from Facebook to micro target people in

652
00:41:58,239 --> 00:42:03,080
Speaker 1: the United States and cost Hillary the election. That was

653
00:42:03,160 --> 00:42:10,480
Speaker 1: the storyline. The reality is much more nuanced and much

654
00:42:10,560 --> 00:42:13,719
Speaker 1: less important. That's what it really comes down to. You

655
00:42:13,840 --> 00:42:19,600
Speaker 1: at Anderson Cooper, who over at CNN, they love Anderson Cooper.

656
00:42:19,680 --> 00:42:21,960
Speaker 1: I have never once seen Anderson Cooper give an interview

657
00:42:22,080 --> 00:42:23,920
Speaker 1: or do anything where I was impressed. I will say that,

658
00:42:23,960 --> 00:42:25,839
Speaker 1: and I've actually seen him act really poorly on TV

659
00:42:25,920 --> 00:42:28,480
Speaker 1: a number of times. I can even cite some of

660
00:42:28,560 --> 00:42:31,680
Speaker 1: the examples if I chose to. But he is that

661
00:42:32,040 --> 00:42:37,960
Speaker 1: the single biggest name at CNN for reasons I could

662
00:42:38,040 --> 00:42:40,040
Speaker 1: not conjure on the spot. I'm not really clear on

663
00:42:40,120 --> 00:42:44,399
Speaker 1: why he looks. He looks the part of news man um.

664
00:42:44,800 --> 00:42:47,360
Speaker 1: But he's interviewed. He interviewed one of the guys involved

665
00:42:47,400 --> 00:42:49,640
Speaker 1: with this whole camera ge analytical thing, and just let

666
00:42:49,760 --> 00:42:51,520
Speaker 1: let's go through this together from a moment, and he'll

667
00:42:51,600 --> 00:42:54,799
Speaker 1: you'll notice something as he's asking these questions. Go ahead,

668
00:42:54,840 --> 00:42:56,400
Speaker 1: please play. Did they tell you what they were going

669
00:42:56,440 --> 00:42:58,160
Speaker 1: to do with their data? Now? I knew it was

670
00:42:58,160 --> 00:43:01,719
Speaker 1: for political consulting, but beyond ah, no idea. So but

671
00:43:01,760 --> 00:43:03,600
Speaker 1: you knew it would be used to maybe target voters

672
00:43:03,719 --> 00:43:06,440
Speaker 1: or find out information about voters. My recollection is now,

673
00:43:06,560 --> 00:43:08,160
Speaker 1: I mean, the we knew they wanted to use it

674
00:43:08,239 --> 00:43:11,800
Speaker 1: for political political purposes, but there was a lot of

675
00:43:11,840 --> 00:43:13,960
Speaker 1: ambiguity of what that meant. So, I mean, what did

676
00:43:14,040 --> 00:43:16,879
Speaker 1: political purposes mean to you? Give me a lot of things.

677
00:43:16,920 --> 00:43:19,600
Speaker 1: I mean, the actually use case for this data, I

678
00:43:19,680 --> 00:43:22,000
Speaker 1: already told you that it's just not that accurate at

679
00:43:22,040 --> 00:43:26,120
Speaker 1: the individual level. Is aggregate when you look at groups,

680
00:43:26,160 --> 00:43:28,600
Speaker 1: if you want to understand, hey, what's the personality of

681
00:43:28,840 --> 00:43:31,239
Speaker 1: New Yorkers, it's actually pretty good. If you want to

682
00:43:31,280 --> 00:43:34,560
Speaker 1: look at you know, Anderson Cooper, it's not great. Um,

683
00:43:35,120 --> 00:43:36,919
Speaker 1: that would have been a really great use case, I think.

684
00:43:37,480 --> 00:43:39,680
Speaker 1: So just be clear. I mean, as far as you know,

685
00:43:39,800 --> 00:43:43,240
Speaker 1: were there any illicit activities anything untoward the transpired between

686
00:43:43,280 --> 00:43:47,560
Speaker 1: Camerage Analytica and the Trump campaign concerning the election? Uh no,

687
00:43:47,719 --> 00:43:49,359
Speaker 1: I don't even know if they actually worked for Trump

688
00:43:49,520 --> 00:43:54,160
Speaker 1: or use the data. Okay, all right, everybody, so can

689
00:43:54,239 --> 00:43:57,000
Speaker 1: we just take a over here together and just basking

690
00:43:57,040 --> 00:44:00,279
Speaker 1: the glory of what was just said on National TV

691
00:44:00,480 --> 00:44:03,920
Speaker 1: on CNN in front of in front of an audience

692
00:44:03,960 --> 00:44:07,239
Speaker 1: in the in the you know, low thousands in the demo. Um,

693
00:44:08,320 --> 00:44:13,280
Speaker 1: the the guys is saying, so let's just be honest

694
00:44:13,320 --> 00:44:16,680
Speaker 1: here for second, folks, the data is not that good.

695
00:44:18,160 --> 00:44:20,320
Speaker 1: But we were told, oh my gosh, like Bannon and

696
00:44:20,480 --> 00:44:25,920
Speaker 1: Mercer and and Data and Russia and Facebook and bra No,

697
00:44:26,920 --> 00:44:30,160
Speaker 1: the information is just not that good. As I told you,

698
00:44:30,200 --> 00:44:33,480
Speaker 1: they would have to be geniuses. Everyone else is trying

699
00:44:33,520 --> 00:44:37,040
Speaker 1: to do the same stuff, trying to target. Remember when

700
00:44:37,080 --> 00:44:39,279
Speaker 1: you say target that's also even oh my gosh, like

701
00:44:39,320 --> 00:44:41,719
Speaker 1: they're targeting. No, this isn't targeting like we're you know,

702
00:44:42,840 --> 00:44:45,640
Speaker 1: hurting people. This is trying to give them information they

703
00:44:45,680 --> 00:44:47,200
Speaker 1: want to see, that they want to click on, that

704
00:44:47,320 --> 00:44:51,440
Speaker 1: they will take action on. It's advertising. We are literally

705
00:44:51,480 --> 00:44:55,879
Speaker 1: talking about political advertising everyone. That's it. They're not they're

706
00:44:55,920 --> 00:44:58,919
Speaker 1: not turning people's computers into active listing devices when they're

707
00:44:58,920 --> 00:45:01,640
Speaker 1: not around. They're they're not stealing your credit card information.

708
00:45:01,880 --> 00:45:04,160
Speaker 1: They're sending you stuff like hey Hillary, maybe he's not

709
00:45:04,200 --> 00:45:08,760
Speaker 1: a good presidential candidate, hashtag Hillary for prison. Oh my gosh,

710
00:45:10,600 --> 00:45:12,200
Speaker 1: but this was like some big breakings for what have

711
00:45:12,280 --> 00:45:14,520
Speaker 1: they done with the data? Well, people were giving this

712
00:45:14,640 --> 00:45:16,480
Speaker 1: to a third party. You just did the third party

713
00:45:16,520 --> 00:45:20,040
Speaker 1: then give it to Cambridge Analytica. I also told you

714
00:45:20,120 --> 00:45:22,520
Speaker 1: the journalists who are honest and cover the political campaign

715
00:45:23,880 --> 00:45:26,879
Speaker 1: cover the presidential campaigns accurately, like Cambra Jenera isn't even

716
00:45:26,920 --> 00:45:30,560
Speaker 1: considered good at this. But all of a sudden, you'll

717
00:45:30,600 --> 00:45:34,799
Speaker 1: notice that they cast aside any skepticism. You know, all

718
00:45:34,880 --> 00:45:36,640
Speaker 1: we hear is that Trump is Trump, and all of

719
00:45:36,719 --> 00:45:40,319
Speaker 1: us people are such a buffoons. They're so they're so dumb. Oh,

720
00:45:40,400 --> 00:45:43,560
Speaker 1: but they had the genius social media people working for

721
00:45:43,680 --> 00:45:51,080
Speaker 1: that Cambridge. Oh my gosh, it's a secret weapon. No,

722
00:45:51,239 --> 00:45:56,239
Speaker 1: it's not. It's obvious that it's not. But if that

723
00:45:56,480 --> 00:45:58,879
Speaker 1: wasn't enough for you, if you're not already like wow, buck,

724
00:45:59,000 --> 00:46:01,640
Speaker 1: like this is a real This is a huge story

725
00:46:02,120 --> 00:46:04,080
Speaker 1: in that it was made a huge story when it's

726
00:46:04,080 --> 00:46:08,040
Speaker 1: actually a non story or a very low level, unimportant

727
00:46:08,080 --> 00:46:12,160
Speaker 1: story at best. What it really is a story about

728
00:46:12,160 --> 00:46:15,640
Speaker 1: the delusions of the media, about how they're so willing

729
00:46:15,760 --> 00:46:19,880
Speaker 1: to either lie or be fooled easily into propagating a

730
00:46:19,960 --> 00:46:23,839
Speaker 1: lie because it excuses Hillary's loss and it bashes Trump.

731
00:46:23,880 --> 00:46:29,640
Speaker 1: I mean, this has become a fixation. They have turned

732
00:46:29,680 --> 00:46:31,920
Speaker 1: this into some kind of O. C. D tick. You know,

733
00:46:32,160 --> 00:46:34,840
Speaker 1: Hillary didn't lose. Trump's a cheater. Hillary didn't lose. Trump's

734
00:46:34,840 --> 00:46:40,400
Speaker 1: a cheater. They can't let it go. But as as

735
00:46:40,440 --> 00:46:43,160
Speaker 1: though it's not enough to just know the data is

736
00:46:43,200 --> 00:46:45,200
Speaker 1: not what they said it was, then yeah, that guy

737
00:46:45,239 --> 00:46:46,560
Speaker 1: would be like, I don't even think they used it,

738
00:46:48,440 --> 00:46:51,080
Speaker 1: So what the heck have all these news networks been

739
00:46:51,160 --> 00:46:54,520
Speaker 1: running for the last few days. That seems to be

740
00:46:54,600 --> 00:46:56,080
Speaker 1: pretty by the way this was reported in The New

741
00:46:56,160 --> 00:46:58,279
Speaker 1: York Times other places too, but they always reported very

742
00:46:58,320 --> 00:47:05,240
Speaker 1: unlike there's no clear events even use the data. So meanwhile,

743
00:47:05,360 --> 00:47:08,120
Speaker 1: we've got people that are are all they're freaking out

744
00:47:08,120 --> 00:47:10,359
Speaker 1: about Mark Zuckerberg. This is from the Hill or to Day.

745
00:47:10,680 --> 00:47:14,160
Speaker 1: Mark Zuckerberg is drawing intense scrutiny from lawmakers demanding that

746
00:47:14,200 --> 00:47:18,080
Speaker 1: the Facebook founder testified a Congress about the Cambridge Analytic

747
00:47:18,160 --> 00:47:23,080
Speaker 1: a controversy. Facebook's data practices are under the microscope like

748
00:47:23,200 --> 00:47:26,800
Speaker 1: never before, following report the British research firm connected to

749
00:47:26,840 --> 00:47:32,320
Speaker 1: President Trump's campaign improperly obtained information fifty million Facebook users

750
00:47:33,239 --> 00:47:35,360
Speaker 1: as it's sought ways to influence the minds of voters

751
00:47:35,440 --> 00:47:38,239
Speaker 1: the polls. Now that you know that the information is

752
00:47:38,280 --> 00:47:41,600
Speaker 1: not good, that nothing that we know of illegal was

753
00:47:41,600 --> 00:47:43,440
Speaker 1: done in obtaining the information in the first place. It

754
00:47:43,520 --> 00:47:45,879
Speaker 1: might have been a violation of Facebook terms of service maybe,

755
00:47:46,080 --> 00:47:50,160
Speaker 1: and the information wasn't even used. But Mark Zuckerberg has

756
00:47:50,160 --> 00:47:52,200
Speaker 1: got to be putting out this fire. And look, I'm

757
00:47:52,200 --> 00:47:56,759
Speaker 1: not some big Zuckerberg fan. You know everyone's demanding Zuckerberg

758
00:47:56,800 --> 00:48:00,080
Speaker 1: give us answers. Facebook has been selling your day to

759
00:48:00,440 --> 00:48:02,520
Speaker 1: This is how they make all their money. This is

760
00:48:02,600 --> 00:48:05,880
Speaker 1: what they do. This is how you know, those of

761
00:48:05,960 --> 00:48:09,920
Speaker 1: you who are listening to this show in Texas on Facebook,

762
00:48:09,960 --> 00:48:11,919
Speaker 1: it might be like, oh, like, you know, what would

763
00:48:11,960 --> 00:48:13,760
Speaker 1: you like to would you like to buy this delicious

764
00:48:13,760 --> 00:48:17,080
Speaker 1: barbecue sauce? You know, if you if you live up

765
00:48:17,200 --> 00:48:20,440
Speaker 1: in Wisconsin, you know, they may be saying, oh, you know,

766
00:48:20,680 --> 00:48:23,920
Speaker 1: would you like this cheese to go with your meal?

767
00:48:23,960 --> 00:48:26,280
Speaker 1: I don't know whatever, I'm trying to think of things randomly.

768
00:48:26,400 --> 00:48:28,000
Speaker 1: You know, if you're in California, you're like, you know,

769
00:48:28,120 --> 00:48:30,560
Speaker 1: find the best pet therapists in your neighborhood. Like they

770
00:48:30,640 --> 00:48:33,080
Speaker 1: can do this because they know where you are, because

771
00:48:33,120 --> 00:48:36,719
Speaker 1: Facebook is sharing pretty general data about you with different

772
00:48:36,760 --> 00:48:41,360
Speaker 1: advertisers what they do. But this goes also into a

773
00:48:41,400 --> 00:48:44,719
Speaker 1: broader there's the category of the Trump delusion Trump arrangement

774
00:48:44,840 --> 00:48:47,439
Speaker 1: syndrome that the whole camerage analytic a thing just fits

775
00:48:47,600 --> 00:48:51,360
Speaker 1: right into. But then there's also something else. There is

776
00:48:51,440 --> 00:48:54,760
Speaker 1: this game that the Democrat media plays where a problem

777
00:48:54,840 --> 00:48:58,440
Speaker 1: that has existed all along, when a Republican is in office,

778
00:48:58,480 --> 00:49:02,240
Speaker 1: all of a sudden becomes a an out and out crisis.

779
00:49:03,920 --> 00:49:06,080
Speaker 1: This has been exposed in the past, I think even

780
00:49:06,520 --> 00:49:08,680
Speaker 1: back in the day Bernie Bernie Goldberg in his book

781
00:49:08,719 --> 00:49:12,160
Speaker 1: Bias wrote about this. Uh and from his time at CBS.

782
00:49:13,160 --> 00:49:15,839
Speaker 1: And I was a little intern at CBS when Dan

783
00:49:15,960 --> 00:49:19,000
Speaker 1: Rather was there. It was my first, my first real

784
00:49:19,040 --> 00:49:23,120
Speaker 1: experience in learning to distrust and despise the mainstream media. Uh.

785
00:49:24,000 --> 00:49:26,120
Speaker 1: But CBS would was one of many that would do

786
00:49:26,200 --> 00:49:29,440
Speaker 1: this thing where all of a sudden, Republican administration comes

787
00:49:29,440 --> 00:49:31,200
Speaker 1: into office and there's just all these stories about the

788
00:49:31,239 --> 00:49:35,680
Speaker 1: problem of homelessness. They wouldn't tell you in the stories

789
00:49:35,760 --> 00:49:38,279
Speaker 1: that the homelessness hasn't gotten worse. It's just we're telling

790
00:49:38,280 --> 00:49:42,240
Speaker 1: you about it now. So homelessness exists, It's a problem

791
00:49:42,440 --> 00:49:44,560
Speaker 1: should be dealt with, we should be helping people, helping

792
00:49:44,600 --> 00:49:46,880
Speaker 1: get back to the fear all that. But you have

793
00:49:46,920 --> 00:49:48,680
Speaker 1: a Republican and when in the first six months of

794
00:49:48,719 --> 00:49:54,600
Speaker 1: republic administration, it's like, let's turn out the stories about homelessness. There.

795
00:49:54,760 --> 00:49:56,200
Speaker 1: There's not more of them now, it's just that we're

796
00:49:56,239 --> 00:49:59,880
Speaker 1: gonna talk about them. That's like the Facebook data sharing issue.

797
00:50:00,360 --> 00:50:03,719
Speaker 1: They've been doing this four years? Is it creepy? Does

798
00:50:03,719 --> 00:50:06,800
Speaker 1: a bother people? Sure? Is there a whole other discussion

799
00:50:06,840 --> 00:50:10,000
Speaker 1: we should probably have about how social media is in

800
00:50:10,120 --> 00:50:13,200
Speaker 1: many ways, disconnecting us from each other as human beings.

801
00:50:13,280 --> 00:50:17,000
Speaker 1: It connects us as digital entities and presences, but it

802
00:50:17,080 --> 00:50:21,400
Speaker 1: disconnects us from each other's human beings. It creates artificial

803
00:50:21,560 --> 00:50:24,920
Speaker 1: connectivity between us. When we really need is human connection,

804
00:50:25,040 --> 00:50:26,799
Speaker 1: being around each other, being with each other, seeing each

805
00:50:26,800 --> 00:50:29,040
Speaker 1: other's people. That's a whole other discussion, maybe one worth

806
00:50:29,080 --> 00:50:33,480
Speaker 1: having later in the week. But this whole Cambridge analytic

807
00:50:33,640 --> 00:50:38,120
Speaker 1: thing through the election cheated. It's a big scandal. Guys, gals,

808
00:50:39,960 --> 00:50:42,880
Speaker 1: this is a joke. It's a joke, and why was

809
00:50:42,920 --> 00:50:44,359
Speaker 1: I able to see it right away? And other people

810
00:50:44,400 --> 00:50:45,719
Speaker 1: were like, well, we really need to go to the

811
00:50:45,760 --> 00:50:50,839
Speaker 1: bottom of this, or no, we really don't. We really don't.

812
00:50:51,840 --> 00:50:55,320
Speaker 1: Eight four four two five eight four four nine hundred

813
00:50:55,360 --> 00:51:10,800
Speaker 1: buck team, I'll be right back. Are we got a

814
00:51:10,840 --> 00:51:12,560
Speaker 1: bunch of lines lit. I want to take some calls

815
00:51:12,760 --> 00:51:16,120
Speaker 1: from you team. Let's see who's up here. We've got

816
00:51:17,040 --> 00:51:22,520
Speaker 1: George in Bethlehem, Pennsylvania. Hey George, fuck, you nailed it.

817
00:51:23,080 --> 00:51:26,880
Speaker 1: You said that the freezer you used this is targeted advertising.

818
00:51:27,520 --> 00:51:30,160
Speaker 1: When I heard this going on, all I could think

819
00:51:30,440 --> 00:51:33,319
Speaker 1: it was that I heard exactly the same thing from

820
00:51:33,400 --> 00:51:39,959
Speaker 1: the Obama the political operatives when he was running. It's

821
00:51:40,280 --> 00:51:42,719
Speaker 1: and and which are the which are the parties? Is

822
00:51:42,840 --> 00:51:47,279
Speaker 1: ginning up hate? Trump has scum? Trump is ain't I Jew,

823
00:51:47,440 --> 00:51:49,560
Speaker 1: not a part of his family's Jewish. It doesn't matter,

824
00:51:50,480 --> 00:51:55,680
Speaker 1: uh you name it. Their their whole mode, their whole

825
00:51:55,760 --> 00:51:59,960
Speaker 1: operandi right now is jinning up hate and personal destruy

826
00:52:00,000 --> 00:52:02,920
Speaker 1: option what they should what we should be looking at.

827
00:52:03,000 --> 00:52:06,440
Speaker 1: The thing that really matters is the judges usurping the

828
00:52:06,480 --> 00:52:10,880
Speaker 1: authority of the executive branch. They're creating laws out of

829
00:52:10,960 --> 00:52:15,000
Speaker 1: whole class. They're not ruling on the law anymore. They're

830
00:52:15,520 --> 00:52:18,440
Speaker 1: you know, they're they're blocking Trump, the executive branch, the

831
00:52:18,560 --> 00:52:24,040
Speaker 1: Trump and the executive branch from stopping illegal executive orders

832
00:52:24,280 --> 00:52:27,840
Speaker 1: that Obama passed. It's amazing, isn't it with with DACA?

833
00:52:28,480 --> 00:52:30,480
Speaker 1: That one president breaks the law and then the next

834
00:52:30,560 --> 00:52:33,000
Speaker 1: president is unable to stop breaking the law. Based on

835
00:52:33,120 --> 00:52:36,000
Speaker 1: what the courts are saying right now, it's crazy. And

836
00:52:36,160 --> 00:52:39,960
Speaker 1: collusion collusion, there's no crime. Everybody says collusion would have

837
00:52:40,040 --> 00:52:42,920
Speaker 1: been is no crime. But it's the biggest thing on

838
00:52:43,000 --> 00:52:46,480
Speaker 1: the planet right now. Collusion, collusion, collusion. Yeah, Well, I've

839
00:52:46,480 --> 00:52:48,839
Speaker 1: always said this they used collusion and not conspiracy, because

840
00:52:49,440 --> 00:52:52,120
Speaker 1: conspiracy is actually a criminal statute that can be proven

841
00:52:52,200 --> 00:52:55,799
Speaker 1: or or not. Collusion is whatever they say it is, right.

842
00:52:55,880 --> 00:52:58,279
Speaker 1: Collusion is when they find nothing with the Mullet probe.

843
00:52:58,320 --> 00:53:00,200
Speaker 1: You know what they're gonna say, George, Well, the neednt

844
00:53:00,200 --> 00:53:02,080
Speaker 1: get Trump Tower is all we really needed to know

845
00:53:02,200 --> 00:53:04,239
Speaker 1: there was collusion. We just haven't found it. They're never

846
00:53:04,280 --> 00:53:06,160
Speaker 1: gonna stop, so we just need to be prepared for that.

847
00:53:06,600 --> 00:53:09,200
Speaker 1: But thank you for your calling my friend Shield. Say, uh,

848
00:53:09,520 --> 00:53:15,240
Speaker 1: let's take John in Gulfport, Mississippi. Hey John, Hey Buck.

849
00:53:15,640 --> 00:53:18,200
Speaker 1: I'm a victim and I believe some of your listeners

850
00:53:18,239 --> 00:53:20,879
Speaker 1: are victims as well of this targeting that just you're

851
00:53:20,920 --> 00:53:24,520
Speaker 1: talking about. I don't know if it was Cambridge Analytica

852
00:53:25,160 --> 00:53:27,759
Speaker 1: or so, it was a outfit similar to them. But

853
00:53:27,880 --> 00:53:31,440
Speaker 1: if you've ever gone to any webs website, say it's

854
00:53:31,480 --> 00:53:35,000
Speaker 1: a Gateway Pundit or a CNN, and you have targeted

855
00:53:35,120 --> 00:53:38,600
Speaker 1: advertising aimed on you that they that they picked up

856
00:53:38,640 --> 00:53:41,080
Speaker 1: because you you may have maybe you decided you wanted

857
00:53:41,120 --> 00:53:43,080
Speaker 1: to go to a Little Rock, Arkansas and stay in

858
00:53:43,120 --> 00:53:46,000
Speaker 1: the Holiday Inn. Well, when you go to your favorite website,

859
00:53:46,120 --> 00:53:49,839
Speaker 1: the advertisement that pops up is low. Behold right, well, John,

860
00:53:49,880 --> 00:53:51,759
Speaker 1: this is how the internet. This is how the Internet works. Now,

861
00:53:51,840 --> 00:53:54,439
Speaker 1: this is why people think it's free. It's not really free.

862
00:53:54,520 --> 00:53:57,800
Speaker 1: You're trading information and access to you as a consumer

863
00:53:58,400 --> 00:54:00,600
Speaker 1: for the services that are offered on the Internet, whether

864
00:54:00,680 --> 00:54:05,520
Speaker 1: it's uh Internet search like Google or websites. Yeah, yeah,

865
00:54:05,920 --> 00:54:07,319
Speaker 1: well this is I mean that's so you're not really

866
00:54:07,400 --> 00:54:08,880
Speaker 1: I mean you're not a Oh you're I think you're

867
00:54:08,880 --> 00:54:10,680
Speaker 1: saying that. Are you saying? It's sarcastic? I mean you're

868
00:54:10,719 --> 00:54:12,400
Speaker 1: you're a victim of this the way anybody uses the

869
00:54:12,480 --> 00:54:17,439
Speaker 1: internet's a victim of Okay, I'm sorry, Right, I'm like, John,

870
00:54:17,480 --> 00:54:20,480
Speaker 1: You're gonna be okay, Right, the Little Rock Arkansas trip

871
00:54:20,600 --> 00:54:22,520
Speaker 1: is gonna be fine. No, I hear you, man. It's

872
00:54:22,520 --> 00:54:25,279
Speaker 1: just that that's what you're saying. Though. It's very important here.

873
00:54:25,960 --> 00:54:28,359
Speaker 1: They're complaining about the Internet, John, That's what they're really

874
00:54:28,400 --> 00:54:30,920
Speaker 1: doing there. They're mad about how people use the internet.

875
00:54:31,280 --> 00:54:33,120
Speaker 1: Shield tie and thank you, thank you for giving me

876
00:54:33,160 --> 00:54:36,080
Speaker 1: a ring. Um, that's a good way to put it.

877
00:54:37,480 --> 00:54:43,880
Speaker 1: Media angry about usage of data for advertisements. Well, if

878
00:54:43,960 --> 00:54:46,960
Speaker 1: that's the case, every news website I know of is

879
00:54:47,080 --> 00:54:50,239
Speaker 1: pretty much toast. So there's that. We've got a lot more,

880
00:54:50,280 --> 00:54:55,720
Speaker 1: including the fight over Russia and Brennan's nasty comments about Trump.

881
00:54:55,880 --> 00:55:09,960
Speaker 1: That's all coming up. He's holding the line for America,

882
00:55:10,320 --> 00:55:14,920
Speaker 1: buck Sexton his back. He admitted to doing things objectively

883
00:55:15,040 --> 00:55:17,719
Speaker 1: and independently and violent book. I think that has to

884
00:55:17,840 --> 00:55:23,239
Speaker 1: extend not just to our investigations are intelligence analysis, but

885
00:55:23,360 --> 00:55:26,960
Speaker 1: also has to extend to personnel decisions and disciplinary decisions.

886
00:55:27,200 --> 00:55:30,840
Speaker 1: My commitment to making sure that our process is followed,

887
00:55:31,560 --> 00:55:34,719
Speaker 1: that it relies on objective input, and that most importantly,

888
00:55:34,880 --> 00:55:37,680
Speaker 1: it is not based on political or partisan influence is

889
00:55:37,760 --> 00:55:41,759
Speaker 1: something I am utterly unyielding on it. That is the

890
00:55:41,920 --> 00:55:45,480
Speaker 1: FBI director, Christopher Ray, he's got a he's got a

891
00:55:45,560 --> 00:55:52,360
Speaker 1: tough job these days, trying to uh maneuver. Well, I'm

892
00:55:52,360 --> 00:55:55,320
Speaker 1: sure it's always a tough job. Although people say this,

893
00:55:55,440 --> 00:55:57,640
Speaker 1: I'm like, you know, to be the head of one

894
00:55:57,680 --> 00:56:00,319
Speaker 1: of these agencies, it's tough, but it's all so got

895
00:56:00,440 --> 00:56:03,080
Speaker 1: it's very rewarding. You've got a lot of influence and power,

896
00:56:03,200 --> 00:56:07,000
Speaker 1: and you've got fantastic private sector opportunities waiting for the

897
00:56:07,080 --> 00:56:12,600
Speaker 1: moment you decided to stop. But maneuvering through the political

898
00:56:12,719 --> 00:56:15,360
Speaker 1: mind fields right now for the FBI director would be

899
00:56:15,520 --> 00:56:24,239
Speaker 1: particularly tough. And then also the what would happen if

900
00:56:24,320 --> 00:56:28,480
Speaker 1: some were to get their way, or if if the

901
00:56:28,560 --> 00:56:30,960
Speaker 1: advice the council off somewhere listened to when you had

902
00:56:32,200 --> 00:56:38,560
Speaker 1: Special Counsel Mueller get fired from his post because for example,

903
00:56:38,800 --> 00:56:40,880
Speaker 1: as I've been said, I'm I'm a little bit of

904
00:56:41,000 --> 00:56:44,960
Speaker 1: a h a pendulum on this. When I'm swinging back

905
00:56:44,960 --> 00:56:47,439
Speaker 1: and forth, I'm like, no, maybe you get fired out, Okay,

906
00:56:47,480 --> 00:56:51,640
Speaker 1: maybe not. It's a judgment call, folks, It's a judgment call,

907
00:56:52,080 --> 00:56:54,520
Speaker 1: because you gotta look at this as do we let

908
00:56:54,560 --> 00:56:57,759
Speaker 1: this grind on forever or do and and just wait

909
00:56:57,840 --> 00:56:59,640
Speaker 1: it out? Or do you deal with the backlash now

910
00:56:59,800 --> 00:57:02,000
Speaker 1: and know that it can't be used to cripple the

911
00:57:02,000 --> 00:57:06,600
Speaker 1: administration and to stop Trump from enacting policies that would

912
00:57:06,600 --> 00:57:08,960
Speaker 1: benefit the country and the reason that he's in the

913
00:57:09,000 --> 00:57:12,280
Speaker 1: White House right now? Uh, you got represented Louis Gomant,

914
00:57:12,280 --> 00:57:14,520
Speaker 1: who I I gotta say, I am. I'm a Gomert.

915
00:57:14,920 --> 00:57:18,320
Speaker 1: I'm a Gomert believer. I like I like Representative Gomer.

916
00:57:18,360 --> 00:57:21,440
Speaker 1: He's a good dude. He's just a good dude. Uh.

917
00:57:21,600 --> 00:57:23,320
Speaker 1: He thinks he should be fired, though he thinks Mueller

918
00:57:23,360 --> 00:57:26,320
Speaker 1: should be should be uh well toast from office play it.

919
00:57:26,640 --> 00:57:30,200
Speaker 1: I think Mueller should be fired. He should be he

920
00:57:30,320 --> 00:57:34,040
Speaker 1: should never have been, he should never been appointed, and

921
00:57:34,160 --> 00:57:37,640
Speaker 1: he should never have accepted. He should be fired. We

922
00:57:37,760 --> 00:57:43,800
Speaker 1: have some establishment Republicans in the House and Senate that say,

923
00:57:43,880 --> 00:57:46,360
Speaker 1: oh gee, if he were to fire Mueller, you know

924
00:57:46,560 --> 00:57:49,720
Speaker 1: that that might we might need to impeach the president,

925
00:57:50,200 --> 00:57:53,920
Speaker 1: even one senator saying that may be an impeachable offense. No,

926
00:57:54,360 --> 00:57:59,920
Speaker 1: it's not. I don't understand. Where are these republicans. Why

927
00:58:00,360 --> 00:58:04,160
Speaker 1: Lindsey Graham get this notion that it's a it's a

928
00:58:04,240 --> 00:58:08,040
Speaker 1: good idea to put out there that there's a red

929
00:58:08,160 --> 00:58:11,160
Speaker 1: line that if Trump crosses a political red line, that

930
00:58:11,200 --> 00:58:13,600
Speaker 1: if Trump crosses, then then impeachment would be on the table.

931
00:58:13,680 --> 00:58:16,880
Speaker 1: And Lindsay Grant the other day said something like, if

932
00:58:16,920 --> 00:58:18,880
Speaker 1: Trump were to do this, it would be the beginning

933
00:58:19,000 --> 00:58:22,720
Speaker 1: of the end of his presidency. If you were fired,

934
00:58:22,840 --> 00:58:26,440
Speaker 1: and it would have to be not specifically Trump out

935
00:58:26,480 --> 00:58:29,680
Speaker 1: fire Muller, right, Rod rosensteinmon have shut it down. Maybe

936
00:58:29,720 --> 00:58:31,920
Speaker 1: you'd have a new Attorney general who wouldn't recuse himself,

937
00:58:32,040 --> 00:58:34,960
Speaker 1: or maybe you'd have the current Attorney General unrecused himself.

938
00:58:35,280 --> 00:58:38,040
Speaker 1: Whatever the process, maybe if you shut down the Muller probe,

939
00:58:39,120 --> 00:58:41,080
Speaker 1: you got Lindsay Graham and other Republicans were saying that

940
00:58:41,160 --> 00:58:44,840
Speaker 1: that's a red line. And I'm just sick of how

941
00:58:46,200 --> 00:58:50,280
Speaker 1: when you see how the Obama administration dealt with scandals,

942
00:58:50,840 --> 00:58:54,840
Speaker 1: it was putting on a clinic for the Republicans. You

943
00:58:55,160 --> 00:58:58,680
Speaker 1: never had damaging leaks. I'm just gonna be honest with

944
00:58:58,720 --> 00:59:01,920
Speaker 1: you here, Okay. You never had damaging leaks from the

945
00:59:02,440 --> 00:59:06,600
Speaker 1: senior Democrats. You never had damaging leaks from White House

946
00:59:06,640 --> 00:59:12,160
Speaker 1: appointees of of influence meant to undermine President Obama himself,

947
00:59:13,400 --> 00:59:15,960
Speaker 1: and you have so much of that going on here now.

948
00:59:17,680 --> 00:59:20,320
Speaker 1: I guess some Republicans feel like they're doing what they

949
00:59:21,400 --> 00:59:26,520
Speaker 1: ethically have to by saying that they would consider impeachment

950
00:59:26,560 --> 00:59:28,480
Speaker 1: of I mean, or do they just want to have

951
00:59:28,600 --> 00:59:30,680
Speaker 1: nice editorials written about them the New York Times. I

952
00:59:30,760 --> 00:59:33,400
Speaker 1: think it might be the latter. I think this might

953
00:59:33,480 --> 00:59:35,680
Speaker 1: be a case where as we look further into it,

954
00:59:36,600 --> 00:59:40,920
Speaker 1: we'll just see that they were grandstanding. And the swamp

955
00:59:41,040 --> 00:59:45,520
Speaker 1: is swampy, my friends, The swamp is indeed a swampy thing.

956
00:59:45,760 --> 00:59:49,040
Speaker 1: So I'll continue to look at this. I'm just wondering if,

957
00:59:49,120 --> 00:59:54,040
Speaker 1: in fact, you know I I like this issue just

958
00:59:54,120 --> 00:59:58,320
Speaker 1: because I I'm very persuadable. Some of you write me

959
00:59:58,360 --> 01:00:00,080
Speaker 1: emails you say, you know, Bock, he should really as

960
01:00:00,120 --> 01:00:02,240
Speaker 1: firemallers should get this over it, and others are like, no,

961
01:00:02,520 --> 01:00:06,680
Speaker 1: it's crazy, don't do it. And I, oh, man, I

962
01:00:06,760 --> 01:00:09,360
Speaker 1: have a tough one here, because I think the Mueller

963
01:00:09,360 --> 01:00:11,600
Speaker 1: probe is gonna go on for a very long time.

964
01:00:11,960 --> 01:00:13,600
Speaker 1: I don't think I don't even think it's gonna finish

965
01:00:13,640 --> 01:00:18,920
Speaker 1: this year. I think you're looking at Mueller probe for

966
01:00:19,600 --> 01:00:22,680
Speaker 1: a a long time. I mean, it's pretty much gonna

967
01:00:22,720 --> 01:00:24,560
Speaker 1: be the whole first term that Trump's in office because

968
01:00:24,600 --> 01:00:30,000
Speaker 1: Democrats are gonna They're incentivized to keep it going. They're incentivized.

969
01:00:31,920 --> 01:00:34,600
Speaker 1: So that's something else that you've gotta keep in mind,

970
01:00:34,720 --> 01:00:37,160
Speaker 1: is that there's gonna be efforts to push this along.

971
01:00:37,480 --> 01:00:40,400
Speaker 1: Just before, I just wanted to know something. I really

972
01:00:40,440 --> 01:00:44,680
Speaker 1: want Hillary Clint Hill. I really want her to get

973
01:00:44,720 --> 01:00:49,720
Speaker 1: as much media attention as possible because Pelosi, her policies

974
01:00:49,760 --> 01:00:52,920
Speaker 1: are odious, but she knows to stay out of the

975
01:00:53,280 --> 01:00:56,880
Speaker 1: public public eye close to election time. In some places

976
01:00:56,960 --> 01:01:00,920
Speaker 1: and in some ways, she'll she'll come out and attack

977
01:01:01,000 --> 01:01:04,240
Speaker 1: the Republican, she'll attack Trump, but she won't say, you know,

978
01:01:04,560 --> 01:01:10,320
Speaker 1: Amosa pushing for far left policies that are just crazy. Uh,

979
01:01:10,520 --> 01:01:13,520
Speaker 1: She's not gonna do that. So we need Hillary to

980
01:01:13,560 --> 01:01:16,080
Speaker 1: be the one out there who is the face, so

981
01:01:16,280 --> 01:01:20,080
Speaker 1: to speak, of the Democrat Party. That would be great,

982
01:01:20,560 --> 01:01:23,400
Speaker 1: whether the Muller probe ends or not. I want Hillary

983
01:01:24,040 --> 01:01:26,600
Speaker 1: to be standing up there talking as much as she can,

984
01:01:26,680 --> 01:01:30,680
Speaker 1: as often as she can, about well, whatever she can.

985
01:01:30,920 --> 01:01:32,920
Speaker 1: And and here's a little taste of what's going to

986
01:01:33,000 --> 01:01:38,520
Speaker 1: happen or what it sounds like when he has uh

987
01:01:39,480 --> 01:01:45,720
Speaker 1: uh undermined the office and used it to enrich himself

988
01:01:45,920 --> 01:01:52,160
Speaker 1: and his family, uh, disregarded laws, ethical standards. He's crossed

989
01:01:52,280 --> 01:01:58,400
Speaker 1: into a territory of behavior and actions that are unpredictable,

990
01:01:58,800 --> 01:02:05,280
Speaker 1: that are erratic, that are undermining the stability of uh,

991
01:02:06,160 --> 01:02:14,200
Speaker 1: the global order. Folks, very add Hillary Clinton casting aspersions

992
01:02:14,800 --> 01:02:18,160
Speaker 1: on Trump for in for using political office to enrich

993
01:02:18,240 --> 01:02:21,720
Speaker 1: his family. I mean, the Clintons did this in a

994
01:02:21,840 --> 01:02:24,760
Speaker 1: way that would have maked that would have made like

995
01:02:25,200 --> 01:02:29,200
Speaker 1: the Medici family of the Italian Renaissance feel like WHOA,

996
01:02:29,360 --> 01:02:33,560
Speaker 1: Maybe we should be a little less self indulgent here.

997
01:02:34,320 --> 01:02:38,320
Speaker 1: I mean, the Clintons are worth a hundred million dollars plus,

998
01:02:39,480 --> 01:02:42,240
Speaker 1: not from giving speeches. Folks. No one's speeches are worth

999
01:02:42,320 --> 01:02:44,680
Speaker 1: that much money. No one is worth a hundred million

1000
01:02:44,680 --> 01:02:48,280
Speaker 1: dollars because of speeches. They were. They were used speeches

1001
01:02:48,560 --> 01:02:54,920
Speaker 1: as a carve out, as a cutout for political influence, peddling,

1002
01:02:55,600 --> 01:02:59,439
Speaker 1: getting big checks written to them so that people would

1003
01:02:59,480 --> 01:03:01,520
Speaker 1: have access us or even the even the belief that

1004
01:03:01,560 --> 01:03:04,720
Speaker 1: they would have access later on. But she's gonna go

1005
01:03:04,800 --> 01:03:09,320
Speaker 1: out there and lecture the Trump campaign and lecture the

1006
01:03:09,440 --> 01:03:15,080
Speaker 1: public on what the Trump administration's ethics or lack of ethics.

1007
01:03:15,360 --> 01:03:18,160
Speaker 1: It's just astonishing. But we need, we need more Hillary.

1008
01:03:18,520 --> 01:03:20,640
Speaker 1: We need her out there as much as possible. I

1009
01:03:20,720 --> 01:03:24,400
Speaker 1: want more Hillary, and maybe, you know, maybe should invite

1010
01:03:24,400 --> 01:03:27,080
Speaker 1: her on the show. Hi, welcome to the Freedom Hot

1011
01:03:27,120 --> 01:03:29,160
Speaker 1: It will be amazing to get Hillary to come hang

1012
01:03:29,200 --> 01:03:32,680
Speaker 1: out here. I doubt she'll join because I'm not going

1013
01:03:32,720 --> 01:03:35,760
Speaker 1: to pay her thirty five thousand dollars a minute or

1014
01:03:35,800 --> 01:03:37,920
Speaker 1: whatever her going great is, or at least that was

1015
01:03:37,960 --> 01:03:39,840
Speaker 1: her rate. Now you know what, I think we get

1016
01:03:39,880 --> 01:03:43,760
Speaker 1: it out of bargain. Right now, I think Hillary's price

1017
01:03:43,880 --> 01:03:46,560
Speaker 1: points gone down considerably since she's no longer gonna be

1018
01:03:46,640 --> 01:03:51,560
Speaker 1: president United States. Two for one special it's gonna be amazing.

1019
01:03:51,960 --> 01:03:55,600
Speaker 1: We'll see. I'm gonna talk to you about Russia and

1020
01:03:55,800 --> 01:03:59,200
Speaker 1: the criticisms of Trump surrounding Russia in just a moment.

1021
01:03:59,240 --> 01:04:15,520
Speaker 1: Stay with me for that. As each member of this

1022
01:04:15,600 --> 01:04:19,760
Speaker 1: committee knows in the Russian government, at the direction of

1023
01:04:19,840 --> 01:04:24,760
Speaker 1: Vladimir Putin himself, orchestrated cyber attacks on our nation for

1024
01:04:24,840 --> 01:04:28,800
Speaker 1: the purpose of influencing the election that year. Playing and simple.

1025
01:04:30,360 --> 01:04:37,040
Speaker 1: That was a former UH Chief of Homeland Security, J Johnson,

1026
01:04:37,600 --> 01:04:42,400
Speaker 1: Director of Homeland Director of DHS UH, and he's thinking

1027
01:04:42,440 --> 01:04:45,760
Speaker 1: Vladimir Putin order the attack on the U S. Election. Now,

1028
01:04:46,360 --> 01:04:49,560
Speaker 1: Johnson was testifying today before Congress about this. I just

1029
01:04:49,640 --> 01:04:52,560
Speaker 1: want to ask a really straightforward question, and what are

1030
01:04:52,640 --> 01:04:57,960
Speaker 1: we going to see the Mueller charge against Putin? If

1031
01:04:58,000 --> 01:05:00,480
Speaker 1: he's indicting all these people. If you have the former

1032
01:05:01,000 --> 01:05:04,840
Speaker 1: secretary of the Department of Homeland Security, right cabinet level

1033
01:05:05,000 --> 01:05:09,920
Speaker 1: national security official who's saying that Putin ordered the attack

1034
01:05:10,080 --> 01:05:13,400
Speaker 1: on the U S election, plan and simple, they must

1035
01:05:13,480 --> 01:05:17,760
Speaker 1: know that, where are the charges We've charged thirteen Russians

1036
01:05:18,480 --> 01:05:22,520
Speaker 1: setting up troll accounts, stock puppet accounts, doing all that stuff.

1037
01:05:23,320 --> 01:05:26,440
Speaker 1: I mean, the day that Mueller brings a formal federal

1038
01:05:26,520 --> 01:05:29,960
Speaker 1: indictment against the president of Russia is gonna be lit

1039
01:05:30,400 --> 01:05:34,000
Speaker 1: in the media. It's gonna be quite a day. I

1040
01:05:34,080 --> 01:05:36,120
Speaker 1: know what you're saying right now, or what you're thinking.

1041
01:05:36,280 --> 01:05:38,280
Speaker 1: Maybe you're saying it if you're really fired a book,

1042
01:05:38,600 --> 01:05:41,920
Speaker 1: what are you saying? Uh, They're never going to do that.

1043
01:05:42,480 --> 01:05:47,080
Speaker 1: That's crazy, right, because there are limits on how much

1044
01:05:47,400 --> 01:05:51,640
Speaker 1: we should poke or even swipe at the Russian bear,

1045
01:05:52,040 --> 01:05:55,200
Speaker 1: so to speak. There is a place that whether there's

1046
01:05:55,200 --> 01:05:57,160
Speaker 1: a time and a place at which it just becomes

1047
01:05:57,240 --> 01:06:01,200
Speaker 1: too much. But you'll notice the say this about Russia,

1048
01:06:01,720 --> 01:06:04,720
Speaker 1: and they will make this claim. But if I were

1049
01:06:04,760 --> 01:06:06,320
Speaker 1: to have forced their hand, if I would have forced

1050
01:06:06,360 --> 01:06:08,840
Speaker 1: the Democrats, the media apparatus is hand right now and

1051
01:06:08,840 --> 01:06:11,680
Speaker 1: say all right, so, why don't we have a federal

1052
01:06:11,720 --> 01:06:15,040
Speaker 1: criminal indictment against Ladimir Putin personally and try to get him,

1053
01:06:15,240 --> 01:06:17,680
Speaker 1: you know, I don't know, extradite into the United States.

1054
01:06:17,800 --> 01:06:22,120
Speaker 1: They said, well, that's stupid, buck, And I'd say exactly exactly.

1055
01:06:23,120 --> 01:06:26,640
Speaker 1: But this week Putin is once again public enemy number

1056
01:06:26,680 --> 01:06:30,320
Speaker 1: one in the United States. Well, maybe after Trump, because

1057
01:06:30,360 --> 01:06:33,560
Speaker 1: Trump made a phone call to him. Journalists didn't even

1058
01:06:33,600 --> 01:06:36,440
Speaker 1: stop for a second to think about who else made

1059
01:06:36,480 --> 01:06:41,520
Speaker 1: a phone call to Putin after an election victory. Yeah,

1060
01:06:42,000 --> 01:06:46,840
Speaker 1: to congratulate the Russian premier on his election. But I

1061
01:06:46,880 --> 01:06:49,120
Speaker 1: actually remember that phone call from two thousand and twelve,

1062
01:06:49,520 --> 01:06:52,920
Speaker 1: and there was some internal gnashing of teeth about the

1063
01:06:53,000 --> 01:06:55,400
Speaker 1: fact that President Buma did call to congratulate him, among

1064
01:06:55,480 --> 01:06:58,800
Speaker 1: among the president's communication steth. But what also happened will

1065
01:06:58,840 --> 01:07:00,760
Speaker 1: It was you had a stepment from the State Department

1066
01:07:01,280 --> 01:07:04,800
Speaker 1: raising legitimate concerns about the way that that that election

1067
01:07:04,920 --> 01:07:07,720
Speaker 1: was conducted and about the broader human rights situation inside

1068
01:07:07,720 --> 01:07:12,720
Speaker 1: of Russia. Yeah, standard from the state departments, a legitimate concerns.

1069
01:07:12,760 --> 01:07:15,720
Speaker 1: It's very different, as is, very upset about it, very

1070
01:07:15,760 --> 01:07:19,520
Speaker 1: scared because it a statement from the State Department. This

1071
01:07:19,640 --> 01:07:22,280
Speaker 1: guy serious, That was Josh Ernis, that was White House

1072
01:07:22,840 --> 01:07:27,600
Speaker 1: Press secretary under Obama for part of the time. A

1073
01:07:27,640 --> 01:07:31,360
Speaker 1: State Department very strangly worded. That is very very aggressive.

1074
01:07:31,440 --> 01:07:34,560
Speaker 1: That you'll notice the key part of what he said,

1075
01:07:34,560 --> 01:07:41,320
Speaker 1: though Obama called to congratulate Vladimir Putin. That is what happened.

1076
01:07:41,600 --> 01:07:44,040
Speaker 1: They can try to spin it now and say the

1077
01:07:44,120 --> 01:07:46,600
Speaker 1: State Department, they can do all that other stuff, which

1078
01:07:46,640 --> 01:07:49,480
Speaker 1: you just heard a little bit of there. But at

1079
01:07:49,520 --> 01:07:53,600
Speaker 1: the end of the day, all that really matters is

1080
01:07:53,720 --> 01:07:55,840
Speaker 1: that they ran with a story because they thought it

1081
01:07:56,000 --> 01:07:59,400
Speaker 1: was bad for Trump, and they didn't even stop to think, well,

1082
01:07:59,600 --> 01:08:03,080
Speaker 1: what about my guy, what about Obama? What did he

1083
01:08:03,240 --> 01:08:06,640
Speaker 1: do when it came to Putin? Uh? And by the way,

1084
01:08:06,840 --> 01:08:08,840
Speaker 1: for the for those who are always running around talking

1085
01:08:08,880 --> 01:08:15,240
Speaker 1: tough on Russia, now Obama called Obama called Putin after

1086
01:08:15,840 --> 01:08:20,160
Speaker 1: the conflict in Georgia, basically the Russian invasion of Georgia,

1087
01:08:22,000 --> 01:08:26,960
Speaker 1: after Putin had imprisoned a group that I will call

1088
01:08:27,160 --> 01:08:31,240
Speaker 1: p riot, even though it is not actually it's called

1089
01:08:31,320 --> 01:08:37,000
Speaker 1: something else close enough, um. And also Putin had had journalists,

1090
01:08:37,360 --> 01:08:39,479
Speaker 1: you know, thrown in prisons, and there's all kinds of

1091
01:08:39,640 --> 01:08:43,200
Speaker 1: very very bad stuff that Putin had been doing when

1092
01:08:43,240 --> 01:08:46,120
Speaker 1: Obama called to congratulated, but the oppression was already there, right,

1093
01:08:46,160 --> 01:08:49,080
Speaker 1: there's this is nothing different. So the make believe with

1094
01:08:49,160 --> 01:08:52,000
Speaker 1: journalists now is oh, Putin was like not that bad

1095
01:08:52,120 --> 01:08:55,200
Speaker 1: and now it's really bad. No, he's always been really bad.

1096
01:08:56,640 --> 01:09:00,840
Speaker 1: I would also note that the leak about do not congratulate.

1097
01:09:01,439 --> 01:09:03,360
Speaker 1: People are now saying Trump is really furious about it.

1098
01:09:03,439 --> 01:09:05,960
Speaker 1: Of course you should be furious about it, whether it's

1099
01:09:05,960 --> 01:09:10,080
Speaker 1: true or not. By the way, a very small number

1100
01:09:10,120 --> 01:09:12,760
Speaker 1: of people would have had access to those kinds of

1101
01:09:13,000 --> 01:09:15,519
Speaker 1: presidential notes for a phone call between the president of

1102
01:09:15,520 --> 01:09:18,680
Speaker 1: the US the president of Russia that somebody would, in

1103
01:09:18,800 --> 01:09:22,759
Speaker 1: a blatant effort to undermine the president, break the trust

1104
01:09:23,520 --> 01:09:25,639
Speaker 1: that the President of the United States should be able

1105
01:09:25,680 --> 01:09:27,800
Speaker 1: to have as advisors. You know, if you if you're

1106
01:09:27,840 --> 01:09:30,400
Speaker 1: listening out there, if you happen to be that advisor,

1107
01:09:30,680 --> 01:09:34,599
Speaker 1: if you don't like the president, quit, don't be a coward,

1108
01:09:35,200 --> 01:09:40,800
Speaker 1: and don't be a backstabber. And that is exactly what

1109
01:09:40,960 --> 01:09:42,840
Speaker 1: happened here with this league. I will even note there

1110
01:09:42,880 --> 01:09:47,080
Speaker 1: are some never trumpers that I have seen today who

1111
01:09:47,200 --> 01:09:52,280
Speaker 1: have reasonable ethics sometimes who have been willing to say

1112
01:09:52,760 --> 01:09:55,280
Speaker 1: you can't have top advisors leaking this kind of stuff

1113
01:09:55,280 --> 01:09:57,720
Speaker 1: to the media. I mean, this is just you know,

1114
01:09:59,040 --> 01:10:00,880
Speaker 1: what's next? Are we gonn have advisers who go in

1115
01:10:01,000 --> 01:10:05,040
Speaker 1: and record record private conversations with the president and just

1116
01:10:05,120 --> 01:10:06,679
Speaker 1: lead it to the media. I mean that that would

1117
01:10:06,680 --> 01:10:10,720
Speaker 1: be the next step. It's a it's a disgrace. It's

1118
01:10:10,760 --> 01:10:13,240
Speaker 1: another disgrace. One more thing I wanted to get to

1119
01:10:14,400 --> 01:10:19,080
Speaker 1: on this point. Uh, you'll notice how there's so much

1120
01:10:19,200 --> 01:10:24,360
Speaker 1: tough talk on Russia right now and not nearly anything

1121
01:10:24,439 --> 01:10:28,439
Speaker 1: even the same stratosphere of tough talk from the media

1122
01:10:28,439 --> 01:10:31,639
Speaker 1: when it comes to China. He was like, oh my gosh, Prutent,

1123
01:10:31,720 --> 01:10:35,200
Speaker 1: he's an autocrat and he's so his human rights record.

1124
01:10:35,400 --> 01:10:38,400
Speaker 1: Why didn't Trump call him out for his human rights record?

1125
01:10:40,000 --> 01:10:44,080
Speaker 1: Apply that logic for a moment to China? Why should

1126
01:10:44,240 --> 01:10:49,200
Speaker 1: President Trump if he's going to constantly harangue and personally

1127
01:10:49,560 --> 01:10:52,439
Speaker 1: embarrass and be hostile toward the president of Russia. And

1128
01:10:52,600 --> 01:10:54,080
Speaker 1: by the way, I think he's a bad guy. I'm

1129
01:10:54,120 --> 01:10:55,840
Speaker 1: not sitting here saying Putin is not a bad guy.

1130
01:10:56,040 --> 01:10:58,960
Speaker 1: I'm saying we've gotta be smart about this. But if

1131
01:10:59,000 --> 01:11:01,040
Speaker 1: he's going to do that because as a human rights record,

1132
01:11:01,160 --> 01:11:04,080
Speaker 1: because of autocracy and all the other things that journalist

1133
01:11:04,120 --> 01:11:08,080
Speaker 1: is week or whining about, what about shij and ping

1134
01:11:08,280 --> 01:11:13,040
Speaker 1: the president for life officially now in China and he's

1135
01:11:13,040 --> 01:11:14,800
Speaker 1: actually the head of the Communist Party in China, but

1136
01:11:14,880 --> 01:11:19,320
Speaker 1: he's there, he is the Chinese premier. He's been a

1137
01:11:19,400 --> 01:11:21,560
Speaker 1: part of a communist government that has presided over the

1138
01:11:21,640 --> 01:11:25,240
Speaker 1: mass slaughter of unborn girls because the one one child

1139
01:11:25,320 --> 01:11:27,960
Speaker 1: policy in China stretched on for decades. I mean, let's

1140
01:11:28,040 --> 01:11:31,479
Speaker 1: let's not pretend that there's not a case you made

1141
01:11:31,560 --> 01:11:36,360
Speaker 1: that China's human rights record he's much worse than Russia's

1142
01:11:36,439 --> 01:11:38,479
Speaker 1: human rights record over the last twenty or thirty years,

1143
01:11:38,520 --> 01:11:42,760
Speaker 1: because it is there and the autocracy is there. So

1144
01:11:43,120 --> 01:11:47,160
Speaker 1: what's the difference. Oh, it's not smart to antagonize China

1145
01:11:47,200 --> 01:11:50,200
Speaker 1: in that way right now. It's not smart for our

1146
01:11:50,360 --> 01:11:53,439
Speaker 1: leader to personally get into it with their leader. No,

1147
01:11:53,600 --> 01:11:57,000
Speaker 1: I agree, that's true. How come the media can't figure

1148
01:11:57,040 --> 01:11:59,880
Speaker 1: that out when it comes to Russia? Though? Why is

1149
01:12:00,000 --> 01:12:01,840
Speaker 1: it that this is only a placa? Oh that's right,

1150
01:12:03,080 --> 01:12:08,040
Speaker 1: all sense, all common sense gets cast aside if it

1151
01:12:08,120 --> 01:12:11,360
Speaker 1: can hurt Trump. That's how they approach everything, including the

1152
01:12:11,400 --> 01:12:13,639
Speaker 1: former CI director who spoke out this morning. I'm gonna

1153
01:12:13,680 --> 01:12:18,760
Speaker 1: take him to task with a buck slap that was

1154
01:12:18,840 --> 01:12:21,599
Speaker 1: like you never seen to cat John, Thanks, very simple

1155
01:12:24,080 --> 01:12:26,800
Speaker 1: buck slab for the former director of the c I

1156
01:12:26,960 --> 01:12:40,160
Speaker 1: A coming up in just a few he's holding the

1157
01:12:40,320 --> 01:12:46,760
Speaker 1: line for America, Buck Sex in his back. Welcome to

1158
01:12:46,800 --> 01:12:49,080
Speaker 1: our three of the Buck Sexton Show. Everyone, Thank you

1159
01:12:49,120 --> 01:12:51,080
Speaker 1: so much for being here. Covered a lot of ground

1160
01:12:51,120 --> 01:12:53,719
Speaker 1: today on the show. Later on, I'll have some thoughts

1161
01:12:53,800 --> 01:12:57,960
Speaker 1: for you on affirmative action and uh a case, a

1162
01:12:58,040 --> 01:13:01,400
Speaker 1: free speech case in the U k of a man

1163
01:13:01,680 --> 01:13:07,120
Speaker 1: who taught his pug to do hate speech. I guess

1164
01:13:07,200 --> 01:13:10,000
Speaker 1: I'll have to walk you through this one. O don't know.

1165
01:13:10,080 --> 01:13:12,559
Speaker 1: I'm saying he's going to prison for it. He taught

1166
01:13:12,640 --> 01:13:15,800
Speaker 1: his pug to do a Hitler salute, he put it

1167
01:13:15,880 --> 01:13:18,640
Speaker 1: on YouTube, and now he is going to prison in

1168
01:13:18,720 --> 01:13:21,000
Speaker 1: the United Kingdom. We will talk about that story later

1169
01:13:21,120 --> 01:13:24,400
Speaker 1: on this hour too, and will of course finish up

1170
01:13:24,479 --> 01:13:28,200
Speaker 1: with a roll call. But first, the former CIA director

1171
01:13:28,640 --> 01:13:32,400
Speaker 1: has been making the rounds. He's now an NBC senior

1172
01:13:32,640 --> 01:13:36,720
Speaker 1: national security analysts. There's been a glut you'll notice of

1173
01:13:36,920 --> 01:13:42,320
Speaker 1: these former senior Obama administration muckety MUCKs. You know, these

1174
01:13:42,400 --> 01:13:45,720
Speaker 1: guys that mostly guys, there's some gals to who used

1175
01:13:45,760 --> 01:13:50,120
Speaker 1: to run different Obama era agencies and now they're all

1176
01:13:50,200 --> 01:13:54,040
Speaker 1: becoming talking heads. They're not, you know, they're not They're

1177
01:13:54,080 --> 01:13:56,200
Speaker 1: not going into teaching the same way they used to do.

1178
01:13:56,280 --> 01:14:01,120
Speaker 1: They're not going into the corporate sector and scessarily they're

1179
01:14:01,240 --> 01:14:04,320
Speaker 1: they're just running on TV and running their mouths a lot.

1180
01:14:05,360 --> 01:14:09,960
Speaker 1: And Brennan has been particularly out of line recently. Here

1181
01:14:10,120 --> 01:14:14,040
Speaker 1: is what he said about the president earlier this week

1182
01:14:14,840 --> 01:14:18,599
Speaker 1: or earlier this this uh, this day, I meant this morning.

1183
01:14:18,680 --> 01:14:20,400
Speaker 1: Another way of saying earlier this day would be this

1184
01:14:20,479 --> 01:14:24,000
Speaker 1: morning Buck, good job, good with the English. But here's

1185
01:14:24,000 --> 01:14:27,000
Speaker 1: what he said on Morning Joe, which is like a

1186
01:14:27,120 --> 01:14:30,280
Speaker 1: show with like we're like Joe is just he's just

1187
01:14:30,360 --> 01:14:33,680
Speaker 1: so cool and laid back and politically savvy. You know,

1188
01:14:33,760 --> 01:14:35,479
Speaker 1: he just looks like he rolled in off the beach

1189
01:14:35,520 --> 01:14:38,439
Speaker 1: from Nantucket. Man, he's got he's got his lady there,

1190
01:14:38,560 --> 01:14:40,400
Speaker 1: you know, you know, they're a thing. I don't know

1191
01:14:40,400 --> 01:14:43,080
Speaker 1: if you know they're married now. And uh he puts

1192
01:14:43,120 --> 01:14:45,720
Speaker 1: aside the guitar and the surfboard and just drop some

1193
01:14:45,800 --> 01:14:49,599
Speaker 1: political bombs. Is that some Morning Joe does it? Anyway,

1194
01:14:49,760 --> 01:14:53,640
Speaker 1: Here's what Brennan, though, the former CIA director, had to

1195
01:14:53,760 --> 01:15:00,320
Speaker 1: say about our current president. Is America being tried um

1196
01:15:01,720 --> 01:15:04,400
Speaker 1: at this point, especially in terms of its place in

1197
01:15:04,439 --> 01:15:08,360
Speaker 1: the world. Is this president letting our country down? Well?

1198
01:15:08,400 --> 01:15:11,920
Speaker 1: I think the president has shown a lack of understanding

1199
01:15:12,040 --> 01:15:17,000
Speaker 1: of international affairs as well as a real um ignorance

1200
01:15:17,240 --> 01:15:19,960
Speaker 1: of what it takes to be president of the United States.

1201
01:15:20,120 --> 01:15:23,479
Speaker 1: And that's what prompted my tweets. Um. He is a

1202
01:15:24,000 --> 01:15:27,640
Speaker 1: mean spirited um. He is dishonest. He has shown a

1203
01:15:27,720 --> 01:15:31,960
Speaker 1: lack of integrity, and he has continued too. I think

1204
01:15:31,960 --> 01:15:34,000
Speaker 1: to be in the office of the presidency, and so

1205
01:15:34,080 --> 01:15:37,200
Speaker 1: I've decided to put my silence aside and to speak

1206
01:15:37,280 --> 01:15:41,080
Speaker 1: up and speak out put his silence aside. Silence didn't

1207
01:15:41,160 --> 01:15:43,559
Speaker 1: last very long. Mr I would see eye director until

1208
01:15:43,640 --> 01:15:46,479
Speaker 1: like a year ago. It wasn't much in the way

1209
01:15:46,520 --> 01:15:50,240
Speaker 1: of silence. He's literally saying that America will triumph over

1210
01:15:50,280 --> 01:15:52,960
Speaker 1: the current president. This is this has banana Republic stuff.

1211
01:15:54,080 --> 01:15:59,080
Speaker 1: This is tinpot dictatorship rhetoric from the former director of

1212
01:15:59,200 --> 01:16:02,680
Speaker 1: the premier in Intelligence Agency. Sorry n s a uh

1213
01:16:02,800 --> 01:16:09,240
Speaker 1: in the United States, this isn't acceptable. This is actually

1214
01:16:09,280 --> 01:16:12,040
Speaker 1: really problematic. And you'll notice that this is happening now

1215
01:16:12,120 --> 01:16:15,439
Speaker 1: with so many of these former Obama administration officials. You

1216
01:16:15,479 --> 01:16:19,760
Speaker 1: didn't have all the former Bush administration intel directors. Now

1217
01:16:19,920 --> 01:16:22,439
Speaker 1: I put intel people in a different category. They're supposed

1218
01:16:22,439 --> 01:16:27,400
Speaker 1: to be in a different category then White House communications folks. Yeah,

1219
01:16:27,400 --> 01:16:30,280
Speaker 1: they're they're partisan, they're political, they're supporting, they're tied to

1220
01:16:30,640 --> 01:16:34,519
Speaker 1: an administration. But we were always told that our intel

1221
01:16:34,600 --> 01:16:39,880
Speaker 1: professionals are nonpartisan. Just about the facts, man, just about

1222
01:16:39,920 --> 01:16:44,080
Speaker 1: the truth the information. And they usually say this to

1223
01:16:44,280 --> 01:16:47,520
Speaker 1: us right before they tell us, how dare you criticize

1224
01:16:48,479 --> 01:16:53,080
Speaker 1: this former director of insert three letter agency? He's just

1225
01:16:53,200 --> 01:16:59,360
Speaker 1: speaking the truth about Russia collusion. Oh really, So, why

1226
01:16:59,560 --> 01:17:02,800
Speaker 1: is it that now we've seen beyond any reasonable doubt

1227
01:17:03,040 --> 01:17:06,439
Speaker 1: that Clapper and Brandon and yes, McCabe and comey there

1228
01:17:06,560 --> 01:17:10,320
Speaker 1: FBI is part of the intelligence community to access to

1229
01:17:10,439 --> 01:17:17,879
Speaker 1: incredibly sensitive information. Why and running national security investigations? We're

1230
01:17:17,880 --> 01:17:20,640
Speaker 1: seeing that they're anti Trump partisans. We're not supposed to

1231
01:17:20,680 --> 01:17:23,840
Speaker 1: take note of this. There has been a change, is

1232
01:17:23,880 --> 01:17:26,360
Speaker 1: what I'm really trying to hammer home here. There has

1233
01:17:26,439 --> 01:17:32,560
Speaker 1: been a shift. The former Intel directors now become partisan

1234
01:17:33,760 --> 01:17:37,840
Speaker 1: pugilists right away. They just want to roll up their

1235
01:17:37,920 --> 01:17:43,800
Speaker 1: sleeves and get into the cable news fisticuffs a S

1236
01:17:43,960 --> 01:17:47,760
Speaker 1: A P. With Brennan. It gets even worse though, from

1237
01:17:48,040 --> 01:17:51,920
Speaker 1: Morning Joe. Here's what he said about Trump and vulnerabilities.

1238
01:17:54,160 --> 01:17:55,880
Speaker 1: What do you chuck it up to, Why won't the

1239
01:17:55,960 --> 01:17:59,479
Speaker 1: president confront Vladimir Putin? Why won't he read the cards

1240
01:17:59,560 --> 01:18:01,679
Speaker 1: and the things that you say need to be said

1241
01:18:01,920 --> 01:18:04,240
Speaker 1: to Vladimir Putin? Do you believe he is somehow in

1242
01:18:04,360 --> 01:18:06,800
Speaker 1: debt to the president of Russia. I think he's afraid

1243
01:18:06,840 --> 01:18:09,920
Speaker 1: of the president of Russia. Well, I think one can

1244
01:18:09,960 --> 01:18:12,679
Speaker 1: speculate as to why that the Russians may have something

1245
01:18:12,720 --> 01:18:15,280
Speaker 1: on him personally that they could always roll out and

1246
01:18:15,360 --> 01:18:20,480
Speaker 1: make his life more difficult. They have something on him personally,

1247
01:18:20,640 --> 01:18:24,639
Speaker 1: They may have something on him personally. Let's all understand,

1248
01:18:24,680 --> 01:18:30,760
Speaker 1: my friends, this is not a former senior White House advisor,

1249
01:18:31,360 --> 01:18:34,160
Speaker 1: you know, political advisor. This is not the equivalent of

1250
01:18:34,520 --> 01:18:38,520
Speaker 1: of David axel Rod or you know, even a Podesta

1251
01:18:38,800 --> 01:18:41,360
Speaker 1: or some of these other slimy characters out there. Valerie

1252
01:18:41,560 --> 01:18:46,120
Speaker 1: Jarrett going on TV and and taking taking cheap shots

1253
01:18:46,160 --> 01:18:48,880
Speaker 1: at the president. This is the former director of the

1254
01:18:48,960 --> 01:18:52,600
Speaker 1: Central Intelligence Agency who's taking a cheap and yes it

1255
01:18:52,760 --> 01:18:56,720
Speaker 1: is a cheap shot. If the former CIA director has

1256
01:18:56,800 --> 01:18:59,920
Speaker 1: information to show that the President of the United States

1257
01:19:00,600 --> 01:19:03,880
Speaker 1: betrayed his country on behalf of Russia, I don't give

1258
01:19:03,920 --> 01:19:08,240
Speaker 1: a Damn what the regulations tell him? What people are

1259
01:19:08,280 --> 01:19:10,519
Speaker 1: gonna say, But oh, it's all classified. He has an

1260
01:19:10,560 --> 01:19:15,160
Speaker 1: obligation to go through the process, speak to Congress behind

1261
01:19:15,240 --> 01:19:18,479
Speaker 1: closed doors, do whatever he has to do to get

1262
01:19:18,520 --> 01:19:20,920
Speaker 1: that information out to the American public. And here's the

1263
01:19:20,960 --> 01:19:25,040
Speaker 1: other part of this. He doesn't have it. Of course,

1264
01:19:25,120 --> 01:19:27,679
Speaker 1: he doesn't have it. Oh, this is the one case

1265
01:19:28,040 --> 01:19:31,240
Speaker 1: when it comes to information about President Trump that would

1266
01:19:31,360 --> 01:19:35,080
Speaker 1: truly bring down the whole administration. This is the one

1267
01:19:35,120 --> 01:19:39,200
Speaker 1: case where it's not leaking. Right, they'll leak Flynn's phone

1268
01:19:39,240 --> 01:19:42,200
Speaker 1: call to a to a Russian ambassador, do harmed in

1269
01:19:42,280 --> 01:19:44,599
Speaker 1: national security in the process, and ruin a man's career

1270
01:19:44,840 --> 01:19:47,679
Speaker 1: and commit a felony. They'll do that. But this information,

1271
01:19:47,720 --> 01:19:50,040
Speaker 1: Oh no, this is sacred. There's a process here, there's

1272
01:19:50,080 --> 01:19:55,320
Speaker 1: a process. How convenient that the former director of my

1273
01:19:56,920 --> 01:19:59,320
Speaker 1: my employer, my agency, the place that trained me, that

1274
01:19:59,400 --> 01:20:03,479
Speaker 1: taught me aircraft, that taught me the skills of an

1275
01:20:03,520 --> 01:20:09,880
Speaker 1: analyst in the intelligence world, is now out there and

1276
01:20:11,360 --> 01:20:14,840
Speaker 1: playing the dirtiest of dirty politics. You know, they might

1277
01:20:14,920 --> 01:20:16,800
Speaker 1: have something on him personally. Oh, what do you mean,

1278
01:20:16,840 --> 01:20:19,640
Speaker 1: like the dossier, Brennan is the dossier true? Is that

1279
01:20:19,720 --> 01:20:22,120
Speaker 1: what you're saying. If that's the case, come out and

1280
01:20:22,200 --> 01:20:26,000
Speaker 1: say it. You know, this is it's one of the

1281
01:20:26,160 --> 01:20:29,719
Speaker 1: grossest things that you will come across in a public servant.

1282
01:20:29,760 --> 01:20:33,160
Speaker 1: The well, I have I have information that would completely

1283
01:20:33,320 --> 01:20:37,600
Speaker 1: change this conversation and would destroy a political party and

1284
01:20:37,680 --> 01:20:40,840
Speaker 1: destroy a presidency, but I just can't share it with

1285
01:20:40,920 --> 01:20:45,360
Speaker 1: you because you're not cleared for that. Okay, look at that.

1286
01:20:45,520 --> 01:20:49,320
Speaker 1: It's so cute. Uh. This is this is a very

1287
01:20:49,560 --> 01:20:56,280
Speaker 1: troubling trend of former senior intelligence officers, directors of the agency,

1288
01:20:57,120 --> 01:21:00,280
Speaker 1: and very senior FBI people you know, and others who

1289
01:21:00,479 --> 01:21:05,160
Speaker 1: become partisan hit men right away new administration comes in.

1290
01:21:05,680 --> 01:21:07,439
Speaker 1: Oh you know, well, if you only knew about this

1291
01:21:07,520 --> 01:21:09,920
Speaker 1: president what we know about this president, There's been so

1292
01:21:10,160 --> 01:21:13,880
Speaker 1: much of that and it needs to stop. It also

1293
01:21:14,120 --> 01:21:17,479
Speaker 1: is a window into the kind of people that President

1294
01:21:17,520 --> 01:21:21,560
Speaker 1: Obama was putting in senior national security roles. He was

1295
01:21:21,640 --> 01:21:25,559
Speaker 1: picking partisan hitman to take those jobs. We know this now,

1296
01:21:25,720 --> 01:21:33,920
Speaker 1: Clapper Brennan McCabe comy partisan hitman, and it's a disgrace

1297
01:21:35,000 --> 01:21:38,680
Speaker 1: to a community of which I belonged to which I

1298
01:21:38,760 --> 01:21:42,599
Speaker 1: belonged at one point. It really is just one more

1299
01:21:42,720 --> 01:21:45,800
Speaker 1: thing don't ever forget, my friends, that while they're making

1300
01:21:45,880 --> 01:21:51,200
Speaker 1: all this noise about how Trump called Putin and he's

1301
01:21:51,400 --> 01:21:58,800
Speaker 1: not supposed to um, they have no answers whatsoever to

1302
01:21:58,880 --> 01:22:00,920
Speaker 1: what to do about Russia, how to make things better.

1303
01:22:01,000 --> 01:22:04,719
Speaker 1: All they can do is tear down and criticize and belittle.

1304
01:22:05,360 --> 01:22:09,080
Speaker 1: They think they think if they continue this they will

1305
01:22:09,120 --> 01:22:11,559
Speaker 1: win politically. But in the short term, and I believe

1306
01:22:11,560 --> 01:22:13,759
Speaker 1: in the long term you will see this is actually

1307
01:22:13,800 --> 01:22:17,160
Speaker 1: harming the country. These people think that they're being patriots.

1308
01:22:17,240 --> 01:22:20,840
Speaker 1: They pretend to be patriots by tearing down the very

1309
01:22:21,000 --> 01:22:23,439
Speaker 1: system that we have right now in order to get

1310
01:22:23,880 --> 01:22:26,720
Speaker 1: at those they do not like. And when I see

1311
01:22:26,800 --> 01:22:31,040
Speaker 1: this filtering into the well at the top level of

1312
01:22:31,120 --> 01:22:34,320
Speaker 1: the intelligence community, in the bottom aginistration, it's really troubling

1313
01:22:34,360 --> 01:22:39,120
Speaker 1: and it's disgraceful. Brennan making these insinuations about Trump and

1314
01:22:39,160 --> 01:22:42,120
Speaker 1: then not backing them up is disgraceful and unethical, and

1315
01:22:42,200 --> 01:22:46,360
Speaker 1: he should be ashamed. That's the truth. We'll be right back.

1316
01:23:00,680 --> 01:23:04,920
Speaker 1: Girlfriend is always runding Raven about how cute and adorable

1317
01:23:05,000 --> 01:23:08,400
Speaker 1: how we argas, and so I thought I would commiment

1318
01:23:08,479 --> 01:23:10,560
Speaker 1: in the least cute thing that I could think of

1319
01:23:11,080 --> 01:23:16,360
Speaker 1: which as a Nazi do I guess the Jews do?

1320
01:23:16,479 --> 01:23:26,559
Speaker 1: I guess the Jews wants the juice Kazi kau see

1321
01:23:26,600 --> 01:23:30,559
Speaker 1: kay in. So there you have some very offensive stuff.

1322
01:23:31,880 --> 01:23:37,960
Speaker 1: You have a pug being taught to salute like a

1323
01:23:38,080 --> 01:23:43,240
Speaker 1: Nazi in response to that guy who's making you know, look,

1324
01:23:43,320 --> 01:23:46,880
Speaker 1: he's he thinks he's being a provocative jokester, and he

1325
01:23:47,080 --> 01:23:52,479
Speaker 1: says really really heinous things. His name is Marcus Meechen,

1326
01:23:53,439 --> 01:23:55,400
Speaker 1: and he's got this, like I said, he's got this

1327
01:23:55,479 --> 01:23:57,680
Speaker 1: pug who's doing this, and he uploaded a video of

1328
01:23:57,840 --> 01:24:04,040
Speaker 1: this to YouTube. And you would think, okay, well, there's

1329
01:24:04,200 --> 01:24:06,400
Speaker 1: a lot of really dumb stuff is being put on YouTube,

1330
01:24:06,439 --> 01:24:09,400
Speaker 1: a lot of nasty things are written on Twitter and

1331
01:24:09,479 --> 01:24:13,680
Speaker 1: on Facebook and all these places all the time. What

1332
01:24:13,800 --> 01:24:15,640
Speaker 1: are we gonna do about this other than say, you know,

1333
01:24:15,760 --> 01:24:18,479
Speaker 1: it's not as you know, I love pugs, so I

1334
01:24:18,560 --> 01:24:20,160
Speaker 1: hate that a pug is being dragged. It's not the

1335
01:24:20,200 --> 01:24:22,240
Speaker 1: pug's fault, right, I feel bad. It is a really

1336
01:24:22,320 --> 01:24:26,960
Speaker 1: cute pug, but this guy is saying stuff that's grotesque

1337
01:24:27,000 --> 01:24:30,680
Speaker 1: and he shouldn't be doing it. And now you think

1338
01:24:30,680 --> 01:24:33,840
Speaker 1: that okay, So our role as a society that believes

1339
01:24:33,880 --> 01:24:38,000
Speaker 1: in free speech is to say that this is not

1340
01:24:38,160 --> 01:24:40,240
Speaker 1: and it's not. It's not funny, it's not cute, it's

1341
01:24:40,280 --> 01:24:42,000
Speaker 1: not I mean, the pug is cute, but what he's doing,

1342
01:24:42,080 --> 01:24:45,240
Speaker 1: what the human being is doing, is is not okay.

1343
01:24:45,320 --> 01:24:48,240
Speaker 1: He shouldn't be saying these things. It is deeply offensive.

1344
01:24:48,720 --> 01:24:52,080
Speaker 1: And you can think of other For example, if somebody

1345
01:24:52,439 --> 01:24:55,479
Speaker 1: you know trained their dog to respond to certain racial

1346
01:24:55,560 --> 01:24:59,080
Speaker 1: epithets in this country, people would be or including the

1347
01:24:59,160 --> 01:25:02,360
Speaker 1: ones that we just heard, but people would be really outraged.

1348
01:25:02,840 --> 01:25:07,519
Speaker 1: So outrage is fine in a free society. Shouting down

1349
01:25:07,640 --> 01:25:10,080
Speaker 1: so well, I should say, shouting down, but counter speech

1350
01:25:11,040 --> 01:25:13,840
Speaker 1: is fine. Also, ignoring speech you don't like it's fine.

1351
01:25:13,920 --> 01:25:15,920
Speaker 1: But that's not what's happened in the United Kingdom. And

1352
01:25:16,000 --> 01:25:19,120
Speaker 1: I think this is this is a vision of our

1353
01:25:19,160 --> 01:25:21,960
Speaker 1: own future, folks, with what's going on now with social media.

1354
01:25:22,520 --> 01:25:29,320
Speaker 1: YouTube is blocking conservatives in all kinds of ways, including

1355
01:25:29,439 --> 01:25:31,840
Speaker 1: right now, you do well, I'm gonna get ahead of myself,

1356
01:25:31,880 --> 01:25:35,799
Speaker 1: but before we talk about the American side of YouTube censorship,

1357
01:25:35,880 --> 01:25:37,920
Speaker 1: just understand that this guy is not just being kicked

1358
01:25:37,920 --> 01:25:42,439
Speaker 1: off YouTube. He is being sent to prison for this

1359
01:25:42,680 --> 01:25:46,719
Speaker 1: now in the United Kingdom, what is your exact crime

1360
01:25:47,040 --> 01:25:51,080
Speaker 1: that they're claiming it's an offensive communication? I communicating an

1361
01:25:51,120 --> 01:25:56,400
Speaker 1: offensive message and through the hate crimes. Yeah, and you

1362
01:25:56,520 --> 01:25:58,840
Speaker 1: actually believe you are going to go to jail. So

1363
01:25:58,960 --> 01:26:01,519
Speaker 1: potentially today in five minutes, when we walked back in there,

1364
01:26:01,520 --> 01:26:03,360
Speaker 1: they could tell you you have to go to jail.

1365
01:26:03,680 --> 01:26:06,200
Speaker 1: Why do you believe that? I think it's because the

1366
01:26:06,280 --> 01:26:08,120
Speaker 1: way that child has been like laid out. Also the

1367
01:26:08,200 --> 01:26:10,000
Speaker 1: fact that the police stepped the press off when they

1368
01:26:10,040 --> 01:26:12,280
Speaker 1: were coming to arrest me. They're making a show. That's

1369
01:26:12,640 --> 01:26:14,280
Speaker 1: they're making a right show. That's the funny thing is

1370
01:26:14,320 --> 01:26:18,759
Speaker 1: the Nuremberg trials didn't even take that's long. So that's

1371
01:26:18,760 --> 01:26:20,320
Speaker 1: why I'm just sitting there like this is a show,

1372
01:26:20,640 --> 01:26:22,439
Speaker 1: Like I'm pretty sure that failed. It was already to

1373
01:26:22,439 --> 01:26:24,200
Speaker 1: say before I was even in court. This is just

1374
01:26:24,320 --> 01:26:28,800
Speaker 1: a publicity. They found him guilty by the way. They

1375
01:26:28,880 --> 01:26:32,599
Speaker 1: found him guilty of a hate crime for teaching, uh,

1376
01:26:32,960 --> 01:26:36,080
Speaker 1: teaching his pug to make a little pa. Look, the

1377
01:26:36,120 --> 01:26:38,880
Speaker 1: pug is moving its paw up again. I love I

1378
01:26:39,000 --> 01:26:41,040
Speaker 1: really love pugs. So I hate that there's a pug

1379
01:26:41,080 --> 01:26:42,880
Speaker 1: in the center. That it's so unfair that this is

1380
01:26:43,080 --> 01:26:45,479
Speaker 1: you know that pugg is being dragged into this. They're like,

1381
01:26:45,760 --> 01:26:47,640
Speaker 1: I really, I really believe pugs are a symbol of

1382
01:26:47,880 --> 01:26:51,240
Speaker 1: love and harmony and they're wonderful as you can tell.

1383
01:26:51,280 --> 01:26:54,439
Speaker 1: I'm a fan of all squashed faced dogs. But this

1384
01:26:54,600 --> 01:26:57,599
Speaker 1: guy said really bad things. Do I think you should

1385
01:26:57,600 --> 01:27:00,360
Speaker 1: do it? No? Do I think you should go to prison? No?

1386
01:27:01,920 --> 01:27:03,960
Speaker 1: There is no free speech in the UK anymore. This

1387
01:27:04,160 --> 01:27:06,600
Speaker 1: is it's this is it is official. It's beneficial for

1388
01:27:06,640 --> 01:27:08,960
Speaker 1: a while maybe, but now you see it once again

1389
01:27:09,280 --> 01:27:12,840
Speaker 1: that a guy in the video was posted in September

1390
01:27:12,880 --> 01:27:15,439
Speaker 1: of on his YouTube channels. This has been going on

1391
01:27:15,560 --> 01:27:17,599
Speaker 1: for a long time, that's why he mentioned the trial.

1392
01:27:18,280 --> 01:27:22,360
Speaker 1: He posted under the name Count Dankula. Now I'm gonna

1393
01:27:22,400 --> 01:27:23,519
Speaker 1: go out on a limb here. For those of you

1394
01:27:23,560 --> 01:27:26,759
Speaker 1: who may not know this, dank is often a word

1395
01:27:26,880 --> 01:27:29,519
Speaker 1: that is used by the by the youth to refer

1396
01:27:29,680 --> 01:27:35,840
Speaker 1: to marijuana. That dank weed is particularly pungent, aromatic, ke

1397
01:27:36,280 --> 01:27:43,519
Speaker 1: HC laden marijuana, and so Count Dankula, Count Duncula. He

1398
01:27:43,800 --> 01:27:49,040
Speaker 1: obviously eats a lot of chocolate, chip art, peanut m

1399
01:27:49,080 --> 01:27:51,960
Speaker 1: and m's, but Count Dankula was the name of the

1400
01:27:52,200 --> 01:27:54,760
Speaker 1: account that it was posted to, and it was viewed

1401
01:27:54,760 --> 01:27:57,040
Speaker 1: a few million times. YouTube pulled it down. Okay, fine,

1402
01:27:57,080 --> 01:28:00,320
Speaker 1: it violents YouTube's terms of service, pull it down. But

1403
01:28:01,840 --> 01:28:06,000
Speaker 1: prison is too much. Prison goes too far. And to

1404
01:28:06,120 --> 01:28:08,240
Speaker 1: say that this violates a hey crime, when it's the

1405
01:28:08,240 --> 01:28:10,680
Speaker 1: guy's clearly making a very unfunny and nasty but he's

1406
01:28:10,680 --> 01:28:13,920
Speaker 1: clearly making a joke. Uh, just goes to show you

1407
01:28:14,160 --> 01:28:17,400
Speaker 1: that this is the direction for social justice warriors. Now

1408
01:28:17,400 --> 01:28:21,120
Speaker 1: they're gonna make speech they do not like illegal. They're

1409
01:28:21,120 --> 01:28:23,439
Speaker 1: going to make it criminal. It's not going to be

1410
01:28:23,640 --> 01:28:25,640
Speaker 1: enough for them to just say that. You you that

1411
01:28:25,760 --> 01:28:28,920
Speaker 1: platforms can police this stuff. The police are gonna police speech.

1412
01:28:29,800 --> 01:28:31,679
Speaker 1: I wanted to add in something else here for a moment.

1413
01:28:33,080 --> 01:28:38,160
Speaker 1: You're seeing videos that are pulled from YouTube now based

1414
01:28:38,240 --> 01:28:42,479
Speaker 1: upon anything having to do and this is in this country, folks. Uh,

1415
01:28:42,680 --> 01:28:46,519
Speaker 1: in this country, YouTube is pulling ads that have to

1416
01:28:46,600 --> 01:28:54,240
Speaker 1: do with guns. YouTube is deciding that there are limits

1417
01:28:54,880 --> 01:28:59,720
Speaker 1: to what firearm demo videos you're allowed to see. They're

1418
01:28:59,760 --> 01:29:02,960
Speaker 1: ban in firearm demo videos. This is from This is

1419
01:29:03,000 --> 01:29:09,040
Speaker 1: from Bloomberg, um and this was just posted earlier today. YouTube,

1420
01:29:09,080 --> 01:29:13,519
Speaker 1: a popular media site for firearms enthusiasts, quietly introduced tighter

1421
01:29:13,600 --> 01:29:17,680
Speaker 1: restrictions on videos involving weapons, becoming the latest battleground in

1422
01:29:17,760 --> 01:29:21,120
Speaker 1: the U S Gun controlled debate. YouTube will ban videos

1423
01:29:21,200 --> 01:29:25,000
Speaker 1: that promote or linked to websites selling firearms and accessories,

1424
01:29:25,400 --> 01:29:29,200
Speaker 1: including bump stocks, which allow a semi automatic rifle to

1425
01:29:29,360 --> 01:29:33,880
Speaker 1: fire faster. Additionally, YouTube said will prohibit videos with instructions

1426
01:29:33,920 --> 01:29:37,559
Speaker 1: on how to assemble firearms. Uh. The video site has

1427
01:29:37,600 --> 01:29:43,400
Speaker 1: faced intense criticism for this. They are banning websites that

1428
01:29:43,479 --> 01:29:47,639
Speaker 1: sell up firearms and accessories from from the YouTube platform.

1429
01:29:48,400 --> 01:29:51,280
Speaker 1: The right to bear arms folks in the constitution. They're saying, basically, no,

1430
01:29:51,479 --> 01:29:57,360
Speaker 1: no more. YouTube is getting rid of that whole notion. Okay, Uh,

1431
01:29:57,479 --> 01:29:59,800
Speaker 1: this is why we can't trust the all. We're just

1432
01:30:00,000 --> 01:30:01,960
Speaker 1: want to stop violence movements that are out there. No,

1433
01:30:02,040 --> 01:30:05,040
Speaker 1: they want to ban guns, and the massive social media

1434
01:30:05,120 --> 01:30:09,240
Speaker 1: platforms out there are taking action to try and push

1435
01:30:09,320 --> 01:30:11,880
Speaker 1: the culture toward banning guns. Because after the culture goes there,

1436
01:30:11,960 --> 01:30:17,200
Speaker 1: guess what politics will go there. Two, Keep in mind,

1437
01:30:17,240 --> 01:30:21,160
Speaker 1: on YouTube, you can still see uh all, I'm pretty

1438
01:30:21,160 --> 01:30:23,200
Speaker 1: sure you can still see beheading videos, although maybe those

1439
01:30:23,240 --> 01:30:25,960
Speaker 1: are now violent terms of service. You can definitely find

1440
01:30:26,000 --> 01:30:29,200
Speaker 1: people building, or you can definitely find on the internet.

1441
01:30:29,240 --> 01:30:31,000
Speaker 1: You know, the anarchist Cookbook. I mean, there's all kinds

1442
01:30:31,000 --> 01:30:33,320
Speaker 1: of stuff that you can find on YouTube that's quite

1443
01:30:33,439 --> 01:30:38,720
Speaker 1: nasty and is repugnant. But they're getting rid of people

1444
01:30:38,760 --> 01:30:41,479
Speaker 1: that want to show you how to fire certain guns.

1445
01:30:42,360 --> 01:30:45,080
Speaker 1: They're getting rid of those videos. So censorship in the

1446
01:30:45,200 --> 01:30:47,479
Speaker 1: UK means you go to prison. Censorship here means they

1447
01:30:47,560 --> 01:30:49,800
Speaker 1: demonetize you in deep platform you But you know what

1448
01:30:49,920 --> 01:30:53,720
Speaker 1: comes after YouTube and social media decides to demonetize and

1449
01:30:53,760 --> 01:30:58,000
Speaker 1: deep platform deep freedomize, which means sending you to prison.

1450
01:30:58,240 --> 01:30:59,920
Speaker 1: That's the next step we gotta be on watch for

1451
01:31:00,040 --> 01:31:02,120
Speaker 1: this year. Let a quick break, we'll be right back.

1452
01:31:13,880 --> 01:31:17,920
Speaker 1: He's holding the line for America. Buck Sexton his back.

1453
01:31:25,280 --> 01:31:27,840
Speaker 1: One of the big fights that you're going to see

1454
01:31:28,240 --> 01:31:32,640
Speaker 1: during this administration with the social justice left. He's going

1455
01:31:32,720 --> 01:31:36,080
Speaker 1: to be over affirmative action. Now. I'm not sure when

1456
01:31:36,200 --> 01:31:38,519
Speaker 1: exactly it's going to come to a head. I just

1457
01:31:39,120 --> 01:31:42,520
Speaker 1: I just know that this is looming in the background,

1458
01:31:42,800 --> 01:31:46,439
Speaker 1: and you have cases that pop up here and there

1459
01:31:47,200 --> 01:31:52,599
Speaker 1: that are let's just say, harbingers of things to come.

1460
01:31:53,120 --> 01:31:56,800
Speaker 1: You have and this has published a National review just

1461
01:31:56,960 --> 01:31:59,600
Speaker 1: last couple of days, and it was about a professor

1462
01:32:00,280 --> 01:32:03,479
Speaker 1: at the University of Pennsylvania. The Yeah, the piece is

1463
01:32:03,560 --> 01:32:07,040
Speaker 1: called the Truth Hurts at penn Law. Let me share

1464
01:32:07,120 --> 01:32:08,840
Speaker 1: with you a little bit of what's going on here.

1465
01:32:08,920 --> 01:32:13,040
Speaker 1: This is by Jason rich Wine. Quote. One are the

1466
01:32:13,120 --> 01:32:17,760
Speaker 1: chief criticisms of affirmative action is that a devalued credentials

1467
01:32:17,800 --> 01:32:21,880
Speaker 1: that minorities could otherwise use to distinguish themselves. If college

1468
01:32:21,920 --> 01:32:25,920
Speaker 1: admissions were purely merit based, employers would have no reason

1469
01:32:26,040 --> 01:32:29,800
Speaker 1: to discount an impressive degree just because it is held

1470
01:32:29,840 --> 01:32:33,439
Speaker 1: by a black or Hispanic applicant. Under our system of

1471
01:32:33,640 --> 01:32:38,439
Speaker 1: racial preferences. However, it is not merely understandable but rational

1472
01:32:38,960 --> 01:32:42,320
Speaker 1: to suspect that minority applicants are less qualified than their

1473
01:32:42,360 --> 01:32:46,799
Speaker 1: paper credentials, imply for some proponents of a firm of action,

1474
01:32:47,439 --> 01:32:52,559
Speaker 1: the response to this problem is simple, ban those rational thoughts.

1475
01:32:53,240 --> 01:32:56,280
Speaker 1: Everyone must act as if we have a purely merit

1476
01:32:56,360 --> 01:33:00,360
Speaker 1: based admission system, even though everyone knows that we do not.

1477
01:33:01,240 --> 01:33:06,439
Speaker 1: The success of affirmative action depends on it. University of

1478
01:33:06,479 --> 01:33:10,760
Speaker 1: Pennsylvania Law professor Amy Wax refuses to go along with

1479
01:33:10,840 --> 01:33:14,680
Speaker 1: the charade or the charade, as some say, and now

1480
01:33:14,840 --> 01:33:17,839
Speaker 1: she's in trouble. For it. As part of a critique

1481
01:33:17,920 --> 01:33:22,120
Speaker 1: of race based admissions. Professor Wax observed that black students

1482
01:33:22,160 --> 01:33:25,160
Speaker 1: at Penn Law rarely graduate in the top half of

1483
01:33:25,240 --> 01:33:30,040
Speaker 1: their class. Her observation is almost certainly correct, but Penn

1484
01:33:30,120 --> 01:33:34,280
Speaker 1: Law Dean ted Ruger declared it is false without providing

1485
01:33:34,320 --> 01:33:37,560
Speaker 1: any evidence. This is classic, folks. Okay, so that's the

1486
01:33:37,680 --> 01:33:40,120
Speaker 1: end of the quote there for a moment. So here

1487
01:33:40,160 --> 01:33:42,479
Speaker 1: you have a system and this is true of a

1488
01:33:42,520 --> 01:33:45,720
Speaker 1: furtherve action across the board at the elite universities, a

1489
01:33:45,880 --> 01:33:51,240
Speaker 1: system that explicitly privileges certain races over others. They just

1490
01:33:51,800 --> 01:33:54,840
Speaker 1: aren't allowed to use quotas. Somehow the numbers stay the

1491
01:33:54,880 --> 01:33:56,960
Speaker 1: same every year. But they're not using quotas. They're taking

1492
01:33:56,960 --> 01:34:03,080
Speaker 1: a holistic approach. This is guard it. It's not honest.

1493
01:34:03,600 --> 01:34:05,840
Speaker 1: It's not what's happening. But they say, oh, we just

1494
01:34:05,920 --> 01:34:10,240
Speaker 1: take a holistic approach. These schools make decisions based upon

1495
01:34:10,400 --> 01:34:14,519
Speaker 1: skin color and based upon racial preference, and then on

1496
01:34:14,800 --> 01:34:18,439
Speaker 1: top of that they insist that no one talked about

1497
01:34:18,520 --> 01:34:22,280
Speaker 1: the very system they have in place. This is going

1498
01:34:22,360 --> 01:34:25,120
Speaker 1: on at the University of Pennsylvania and Ivy League School.

1499
01:34:25,160 --> 01:34:27,680
Speaker 1: In fact, one of my brothers went there, and this

1500
01:34:27,920 --> 01:34:33,000
Speaker 1: is what the dean in this case has given as

1501
01:34:33,160 --> 01:34:37,920
Speaker 1: his explanation for why they have forbiddenness. Professor who is tenured,

1502
01:34:37,960 --> 01:34:40,320
Speaker 1: by the way, so they can't really fire as much.

1503
01:34:40,400 --> 01:34:44,600
Speaker 1: I'm sure they'd love to tenure occasionally bites back. But

1504
01:34:45,920 --> 01:34:52,320
Speaker 1: Professor Wax is banned from teaching any mandatory first year courses.

1505
01:34:53,880 --> 01:34:56,519
Speaker 1: And here is the reasoning for quote. In light of

1506
01:34:56,600 --> 01:35:01,680
Speaker 1: Professor Wax's statements, black student assigned to her class in

1507
01:35:01,800 --> 01:35:05,559
Speaker 1: their first year at Penn Law may reasonably wonder whether

1508
01:35:05,600 --> 01:35:09,240
Speaker 1: their professor has already come to a conclusion about their presence, performance,

1509
01:35:09,600 --> 01:35:13,200
Speaker 1: and potential for success in law school, and thereafter, they

1510
01:35:13,240 --> 01:35:16,720
Speaker 1: may legitimately question whether the inaccurate and belittling statement she

1511
01:35:16,840 --> 01:35:20,480
Speaker 1: has made may adversely affect their learning environment and career prospects.

1512
01:35:21,120 --> 01:35:25,040
Speaker 1: These students may also reasonably feel an additional and unwarranted

1513
01:35:25,120 --> 01:35:28,200
Speaker 1: burden to perform well so that their performance may not

1514
01:35:28,320 --> 01:35:31,559
Speaker 1: be used or misused by their professor in public discourse

1515
01:35:31,920 --> 01:35:36,479
Speaker 1: about racial inequality and academic success. More broadly, this dynamic

1516
01:35:36,600 --> 01:35:40,120
Speaker 1: may negatively affect the classroom experience for all students, regardless

1517
01:35:40,560 --> 01:35:46,479
Speaker 1: of race or background. Um, this is amazing folks, that's

1518
01:35:46,520 --> 01:35:48,360
Speaker 1: the end of the quote. There. Here you have a

1519
01:35:48,520 --> 01:35:51,679
Speaker 1: dean at the University of Pennsylvanian Ivy League law school

1520
01:35:52,680 --> 01:35:54,360
Speaker 1: who is making the case. Remember this is a this

1521
01:35:54,439 --> 01:35:56,080
Speaker 1: is a dean of a law school. You think he

1522
01:35:56,160 --> 01:35:59,400
Speaker 1: kind of knows logic and reason making the case that

1523
01:36:00,160 --> 01:36:04,680
Speaker 1: this professor made a statement that is very easy to

1524
01:36:04,920 --> 01:36:09,479
Speaker 1: prove false if it were false. He will not provide

1525
01:36:09,520 --> 01:36:12,360
Speaker 1: that evidence, though, because if he were to provide the evidence,

1526
01:36:12,920 --> 01:36:17,840
Speaker 1: then it would well, we all know, right, then you'd

1527
01:36:17,880 --> 01:36:20,439
Speaker 1: have to provide the evidence for other things in the

1528
01:36:20,479 --> 01:36:23,840
Speaker 1: affirmative action policy spectrum too, and then people would have

1529
01:36:23,840 --> 01:36:25,599
Speaker 1: an expectation arts. So we're allowed to see the numbers,

1530
01:36:25,600 --> 01:36:27,800
Speaker 1: were allowed to talk about it. They can't provide the

1531
01:36:27,880 --> 01:36:31,240
Speaker 1: evidence because if they concede that there's evidence that proves

1532
01:36:31,280 --> 01:36:33,160
Speaker 1: this is true one way or the other, then they

1533
01:36:33,240 --> 01:36:36,439
Speaker 1: concede it's a rational point of discussion or reasonable point

1534
01:36:36,439 --> 01:36:39,560
Speaker 1: of discussion. And they refuse to do that, you're not

1535
01:36:39,640 --> 01:36:42,519
Speaker 1: allowed to talk about it. Affirmative action is now a

1536
01:36:42,600 --> 01:36:47,639
Speaker 1: policy in colleges and universities, and yes, in hiring for corporations, folks.

1537
01:36:47,720 --> 01:36:49,840
Speaker 1: It is true in in corporate America as well. This

1538
01:36:50,040 --> 01:36:54,920
Speaker 1: is now filtered throughout the entire system. But it exists,

1539
01:36:55,840 --> 01:37:03,040
Speaker 1: and it exists under the totalitarian impulse to tell you

1540
01:37:03,200 --> 01:37:05,519
Speaker 1: that it does not exist, to make you say it

1541
01:37:05,600 --> 01:37:08,040
Speaker 1: does not exist, and that's the only way that it

1542
01:37:08,080 --> 01:37:11,760
Speaker 1: can all be held together. They won't allow you to

1543
01:37:12,439 --> 01:37:15,519
Speaker 1: question it or even discuss it as a system. This

1544
01:37:15,760 --> 01:37:21,000
Speaker 1: has to stop. This goes to the intellectual rock that

1545
01:37:21,120 --> 01:37:22,880
Speaker 1: has is at the heart of so much of what's

1546
01:37:22,880 --> 01:37:28,400
Speaker 1: going on on campuses these days. They won't even engage

1547
01:37:29,160 --> 01:37:33,919
Speaker 1: with the ideas they are promoting because they're so clearly dubious.

1548
01:37:34,120 --> 01:37:38,160
Speaker 1: And look, if Professor Wax's statement is untrue, they should

1549
01:37:38,200 --> 01:37:42,799
Speaker 1: just provide the data it's untrue. If it's not untrue,

1550
01:37:44,040 --> 01:37:46,719
Speaker 1: well then guess what. You have a professor of law

1551
01:37:47,160 --> 01:37:51,920
Speaker 1: who is making a blatantly clear, factual statement that goes

1552
01:37:52,040 --> 01:37:53,760
Speaker 1: right to the heart of affirm of action policy at

1553
01:37:53,840 --> 01:37:57,280
Speaker 1: University of Pennsylvania Law School, and for making a statement

1554
01:37:57,360 --> 01:38:01,400
Speaker 1: of fact, she is being singled out, belittled, and punished

1555
01:38:01,600 --> 01:38:05,280
Speaker 1: by her peers. That is the modern affirmative action system

1556
01:38:05,320 --> 01:38:08,040
Speaker 1: we have in this country. Under the Trump administration, with

1557
01:38:08,200 --> 01:38:10,800
Speaker 1: this Department of Justice, I am hoping we can turn

1558
01:38:10,880 --> 01:38:15,520
Speaker 1: this around it is a corrupt system. It's wrong, it's unethical.

1559
01:38:15,840 --> 01:38:19,360
Speaker 1: It needs to stop. And the Left is in the

1560
01:38:19,439 --> 01:38:23,360
Speaker 1: wrong on this by a mile. By a mile. It's

1561
01:38:23,360 --> 01:38:26,519
Speaker 1: not even close. We're gonna have to hit a roll

1562
01:38:26,600 --> 01:38:28,599
Speaker 1: call here. Stay with me. It is a straight up

1563
01:38:28,720 --> 01:38:31,280
Speaker 1: blizzard here in New York City and along much of

1564
01:38:31,360 --> 01:38:33,840
Speaker 1: the East Coast. I think I'm gonna have to ski

1565
01:38:34,040 --> 01:38:37,599
Speaker 1: home tonight. I remember when, um, when the Nordic Track

1566
01:38:38,000 --> 01:38:40,880
Speaker 1: was the fitness craze I was putting in a lot

1567
01:38:40,920 --> 01:38:43,519
Speaker 1: of late hours at the office. The pressure was really

1568
01:38:43,600 --> 01:38:46,120
Speaker 1: getting to My doctor told me if I didn't get

1569
01:38:46,160 --> 01:38:49,200
Speaker 1: some exercise, I'd be a prime candidate for a heart attack.

1570
01:38:49,920 --> 01:38:53,760
Speaker 1: That's why I got on track. Nordic Track. Nordic Track

1571
01:38:53,920 --> 01:38:56,320
Speaker 1: was just what I needed to work off stress. My

1572
01:38:56,439 --> 01:38:59,680
Speaker 1: doctor says, my blood pressure is lower two oh man.

1573
01:38:59,800 --> 01:39:03,720
Speaker 1: I mean. There still are some pretty lame late night

1574
01:39:04,320 --> 01:39:08,120
Speaker 1: fitness craze items that you see out there, and I'm

1575
01:39:08,120 --> 01:39:10,840
Speaker 1: gonna I'm gonna confess I actually owned a few of them.

1576
01:39:12,320 --> 01:39:15,920
Speaker 1: But the Nordic Track, you know, oh yeah, just sort

1577
01:39:15,960 --> 01:39:20,080
Speaker 1: of against no resistance, stand and move your arms and

1578
01:39:20,240 --> 01:39:22,960
Speaker 1: legs back and forth in an effortless motion and you

1579
01:39:23,120 --> 01:39:26,160
Speaker 1: too can look like this fitness model in the commercial.

1580
01:39:26,760 --> 01:39:30,680
Speaker 1: That stuff is so effective, I mean not shake weight effective,

1581
01:39:31,360 --> 01:39:34,400
Speaker 1: Don't get me wrong. Shake weights clearly will give you

1582
01:39:34,600 --> 01:39:38,360
Speaker 1: a six pack or uh, ladies, that beach body is

1583
01:39:38,439 --> 01:39:42,479
Speaker 1: just one shake weight away, you know, Oh my gosh. Uh.

1584
01:39:44,160 --> 01:39:47,400
Speaker 1: The lamest, though, were always the the ones that were

1585
01:39:47,439 --> 01:39:51,600
Speaker 1: meant for your abs specifically, and I definitely owned a

1586
01:39:51,640 --> 01:39:54,479
Speaker 1: few of these when I was maybe a senior in

1587
01:39:54,600 --> 01:39:57,360
Speaker 1: high school. I feel like I went in the back

1588
01:39:57,439 --> 01:40:01,360
Speaker 1: of some mail order catalog in Maxim magazine and got

1589
01:40:01,439 --> 01:40:03,800
Speaker 1: one of those things that I don't remember what it

1590
01:40:03,880 --> 01:40:07,320
Speaker 1: was called. The it was like the ab cruncher or

1591
01:40:07,400 --> 01:40:10,439
Speaker 1: something that you would hold this It looked almost like

1592
01:40:10,520 --> 01:40:12,120
Speaker 1: a spaceship and you would just sort of hold it

1593
01:40:12,200 --> 01:40:14,720
Speaker 1: in your into your gut, and that was supposed to

1594
01:40:14,840 --> 01:40:19,400
Speaker 1: make you get six pack abs. Well, this is gonna

1595
01:40:19,520 --> 01:40:21,640
Speaker 1: blow that right out of the water. Listen to this

1596
01:40:22,240 --> 01:40:27,439
Speaker 1: seven minute apps. Think about it. You walk into a

1597
01:40:27,560 --> 01:40:30,200
Speaker 1: video storey, you see eight minute abs sitting there, there's

1598
01:40:30,280 --> 01:40:32,280
Speaker 1: seven minute abs right beside it. Which one are you

1599
01:40:32,360 --> 01:40:35,800
Speaker 1: gonna pick? Man? I'm I would go for the seven Yeah,

1600
01:40:36,240 --> 01:40:40,200
Speaker 1: Bingo man, bingo seven minute apps and we guarantee. Just

1601
01:40:40,360 --> 01:40:43,840
Speaker 1: too good a workout is the eight minute folk. Yeah,

1602
01:40:43,960 --> 01:40:46,880
Speaker 1: you see, just just as good a workout as the

1603
01:40:46,960 --> 01:40:50,560
Speaker 1: eight minute folk. I love. There's Something about Mary is

1604
01:40:51,240 --> 01:40:54,160
Speaker 1: a guilty pleasure, a movie that could never be made today,

1605
01:40:54,360 --> 01:40:56,639
Speaker 1: but we're still allowed to like it because the social

1606
01:40:56,760 --> 01:41:00,960
Speaker 1: justice warriors haven't figured out that it's on demand and DVD.

1607
01:41:01,680 --> 01:41:14,960
Speaker 1: And with that, let's get into Roll Call team. It's

1608
01:41:15,040 --> 01:41:22,200
Speaker 1: time for roll Call. First up in Roll Call today,

1609
01:41:22,360 --> 01:41:26,519
Speaker 1: in the Hut, we have Steve, who has a moose

1610
01:41:26,600 --> 01:41:30,280
Speaker 1: cooking follow up for us. Okay, Steve, moose meat is

1611
01:41:30,320 --> 01:41:33,519
Speaker 1: the best meat on the planet. Harvest a moose and

1612
01:41:33,640 --> 01:41:36,360
Speaker 1: you will have enough hormone free wild game meat to

1613
01:41:36,560 --> 01:41:39,439
Speaker 1: feed your family for an entire year. And he has

1614
01:41:39,479 --> 01:41:42,720
Speaker 1: in fact given me a guide to how to cook

1615
01:41:42,840 --> 01:41:47,280
Speaker 1: moose meat. Okay, Steve, Hey, hey, look, you're the expert, buddy,

1616
01:41:47,360 --> 01:41:49,519
Speaker 1: so I'll take your word for it. And based on

1617
01:41:49,600 --> 01:41:52,719
Speaker 1: this photo I'm looking at moose meat and roast beef

1618
01:41:52,840 --> 01:41:58,080
Speaker 1: seemed very similar. So seems delicious. Oh wow, Nathan sent

1619
01:41:58,160 --> 01:42:02,400
Speaker 1: me something here, a bird been that is called the Sexton.

1620
01:42:03,080 --> 01:42:08,639
Speaker 1: The Sexton single malt Irish whiskey. Nathan, I gotta check

1621
01:42:08,720 --> 01:42:11,240
Speaker 1: this out, and maybe we could get them to be

1622
01:42:11,320 --> 01:42:14,120
Speaker 1: a sponsor on the show, because I mean, heaven, for

1623
01:42:14,200 --> 01:42:17,919
Speaker 1: Heaven's sake, my name is Sexton. The Burmans called Sexton

1624
01:42:18,960 --> 01:42:22,559
Speaker 1: makes sense to me. Let's give it a shot. Next

1625
01:42:22,640 --> 01:42:26,320
Speaker 1: up here we have t J, who writes in awesome

1626
01:42:26,360 --> 01:42:28,880
Speaker 1: show buck Well, thank you, t J. T J knows

1627
01:42:28,920 --> 01:42:31,599
Speaker 1: how to butter me up at the beginning of the comments,

1628
01:42:31,760 --> 01:42:33,640
Speaker 1: so I appreciate that. Or he just listens to me

1629
01:42:33,720 --> 01:42:34,840
Speaker 1: when I say, if you want me to read your

1630
01:42:34,880 --> 01:42:38,519
Speaker 1: comments on air, say something nice about the show right away.

1631
01:42:39,520 --> 01:42:41,800
Speaker 1: But he writes awesome show buck. I think I'd like

1632
01:42:41,920 --> 01:42:45,799
Speaker 1: to expand on your bacon steak and egg breakfast idea.

1633
01:42:46,240 --> 01:42:49,639
Speaker 1: When I do dear steak and eggs, I typically bread

1634
01:42:49,760 --> 01:42:52,679
Speaker 1: the steak and then fry them. What if you cook

1635
01:42:52,760 --> 01:42:56,200
Speaker 1: the bacon first, fry the breaded steak in the bacon grease,

1636
01:42:57,080 --> 01:42:59,920
Speaker 1: and follow up with the eggs fried in the bacon grease.

1637
01:43:00,479 --> 01:43:04,160
Speaker 1: Mind blown? Also, my go to seasoning for everything is

1638
01:43:04,200 --> 01:43:09,519
Speaker 1: Tony ch Chairs Creole seasoning. It's great on everything, even

1639
01:43:09,560 --> 01:43:12,120
Speaker 1: says so on the can well t J. I will

1640
01:43:12,160 --> 01:43:14,080
Speaker 1: have to check that out. I am unfamiliar with it,

1641
01:43:14,120 --> 01:43:17,040
Speaker 1: but I like your plan for what would that be?

1642
01:43:17,160 --> 01:43:21,080
Speaker 1: That would be bacon steak. I'm sorry, dear steak and eggs,

1643
01:43:21,200 --> 01:43:27,439
Speaker 1: d s E Dear steak and eggs. Sony. Next up here,

1644
01:43:27,479 --> 01:43:30,479
Speaker 1: she writes, Buck is already working. She said this this morning,

1645
01:43:30,800 --> 01:43:33,639
Speaker 1: five am. I'm going to the gym, and you're already

1646
01:43:33,720 --> 01:43:36,640
Speaker 1: doing your best. Thank you so much, well, Sony, thank you.

1647
01:43:36,800 --> 01:43:38,960
Speaker 1: It was very kind of you to write me the note.

1648
01:43:39,000 --> 01:43:44,320
Speaker 1: It was also very kind of Brian Kilmeade and Ainsley

1649
01:43:44,479 --> 01:43:47,680
Speaker 1: ear Heart and the whole rest of the Fox and

1650
01:43:47,760 --> 01:43:52,200
Speaker 1: Friends crew to have me on this morning, really on

1651
01:43:52,360 --> 01:43:54,560
Speaker 1: and off for the whole three hours. So it was

1652
01:43:54,720 --> 01:43:58,200
Speaker 1: very very much appreciate it, and it was important to

1653
01:43:58,320 --> 01:44:01,799
Speaker 1: be able to weigh in with analysis on the breaking

1654
01:44:01,840 --> 01:44:04,240
Speaker 1: news out of Austin. So I really did appreciate and Sony,

1655
01:44:04,560 --> 01:44:08,760
Speaker 1: I hope you enjoyed it as well. Uh. Paul is

1656
01:44:08,880 --> 01:44:12,080
Speaker 1: next up here, He writes, Hey, Buck, I grew up

1657
01:44:12,120 --> 01:44:16,360
Speaker 1: a few minutes from Los Alamitos, California. It has been

1658
01:44:16,400 --> 01:44:20,880
Speaker 1: a family oriented neighborhood for generations. The politicians in California

1659
01:44:20,920 --> 01:44:24,920
Speaker 1: are missing it. The population wants criminals out of our state,

1660
01:44:25,280 --> 01:44:29,439
Speaker 1: but the politicians continue to move rough shot over popular wishes.

1661
01:44:30,000 --> 01:44:33,240
Speaker 1: This includes my Mexican American friends, some of whom are

1662
01:44:33,320 --> 01:44:35,960
Speaker 1: currently in the country illegally. This will bite them in

1663
01:44:36,040 --> 01:44:38,720
Speaker 1: the end. They will miss it, much like Trump was

1664
01:44:38,800 --> 01:44:41,040
Speaker 1: a surprise. They will not see the wave until it

1665
01:44:41,200 --> 01:44:44,760
Speaker 1: was all over for them. Um, all right, Paul, Well,

1666
01:44:44,920 --> 01:44:49,400
Speaker 1: thank you for weighing it. Appreciate it. Rain is next

1667
01:44:49,520 --> 01:44:52,080
Speaker 1: up here. I love the show is always I was

1668
01:44:52,200 --> 01:44:55,600
Speaker 1: only able to listen to the first hour yesterday. Not

1669
01:44:55,720 --> 01:44:58,160
Speaker 1: sure if you cover the story about the YouTuber convicted

1670
01:44:58,200 --> 01:45:00,800
Speaker 1: in the UK for making an offensive video. I'll have

1671
01:45:00,920 --> 01:45:03,840
Speaker 1: to catch up on the podcast. Well, Rain, thank you

1672
01:45:03,920 --> 01:45:06,679
Speaker 1: so much for listening to the show, and I covered

1673
01:45:06,720 --> 01:45:09,240
Speaker 1: it today in fact, so hopefully you're hearing this. And

1674
01:45:09,360 --> 01:45:12,920
Speaker 1: also earlier in the show you heard me discussing the

1675
01:45:13,000 --> 01:45:17,679
Speaker 1: conviction in the UK of this YouTube joke prankster guy

1676
01:45:17,840 --> 01:45:23,560
Speaker 1: who taught his pug to make a uh well to

1677
01:45:23,840 --> 01:45:27,880
Speaker 1: make a hit Laryan gesture when he would say seeing Hyle,

1678
01:45:28,520 --> 01:45:31,040
Speaker 1: as well as a few other very very bad and

1679
01:45:31,120 --> 01:45:36,280
Speaker 1: inappropriate things. Ali or I don't know if it's Ali

1680
01:45:36,400 --> 01:45:38,080
Speaker 1: or Ali want to start this. I think it's Ali.

1681
01:45:38,439 --> 01:45:41,880
Speaker 1: Oh No, it's Ali. It is Ali. Ali writes book,

1682
01:45:42,280 --> 01:45:43,920
Speaker 1: how are the March for Life kids going to be

1683
01:45:44,000 --> 01:45:47,479
Speaker 1: protected with guns? Well, my friend, you you have a

1684
01:45:47,560 --> 01:45:49,960
Speaker 1: point there. I think they probably will be protected by

1685
01:45:50,000 --> 01:45:54,200
Speaker 1: law enforcement officials with guns. Um, and I hope that

1686
01:45:54,240 --> 01:45:57,920
Speaker 1: there is a March for Life that happens with school

1687
01:45:58,000 --> 01:46:02,599
Speaker 1: age students for a whole unsure of reasons. Um, let's

1688
01:46:02,600 --> 01:46:07,160
Speaker 1: see we got here. Next up is James kind of

1689
01:46:07,240 --> 01:46:08,920
Speaker 1: like me. My first name is James. For those of

1690
01:46:08,960 --> 01:46:11,839
Speaker 1: you to know a little a little buck Freedom Hunt trivia,

1691
01:46:12,880 --> 01:46:15,719
Speaker 1: He writes, great show. I listened every night at work

1692
01:46:15,960 --> 01:46:18,760
Speaker 1: eight ten w g Y. That's up in Albany. One

1693
01:46:18,800 --> 01:46:22,639
Speaker 1: of our fantastic affiliates saw you on Fox. Is Bob

1694
01:46:22,720 --> 01:46:27,519
Speaker 1: Gates your old boss? Uh? Well, there were a few

1695
01:46:28,360 --> 01:46:33,400
Speaker 1: agency directors during my time. When I began, it was

1696
01:46:33,720 --> 01:46:37,799
Speaker 1: Porter Goss and by the time I finished, it was Panetta,

1697
01:46:38,560 --> 01:46:41,280
Speaker 1: So that should give you. And was there somebody else

1698
01:46:41,320 --> 01:46:43,400
Speaker 1: in between? I can't even remember now. I can't even

1699
01:46:43,400 --> 01:46:46,360
Speaker 1: remember all the directors, but there's a whole portrait gallery

1700
01:46:46,400 --> 01:46:48,920
Speaker 1: on the first floor Langley of them. So there's that.

1701
01:46:50,040 --> 01:46:52,080
Speaker 1: But thank you for listening up in w g Y, Albany,

1702
01:46:52,280 --> 01:46:54,280
Speaker 1: And I hope other folks up in Albany. Know that

1703
01:46:54,400 --> 01:46:56,680
Speaker 1: if they want to weigh in, they want to let

1704
01:46:56,720 --> 01:46:58,760
Speaker 1: me know what they're thinking about the show. Uh, they

1705
01:46:58,840 --> 01:47:01,639
Speaker 1: can send me a message at acebook dot com slash

1706
01:47:02,320 --> 01:47:08,519
Speaker 1: buck Sexton. Um here we go, uh Hannah from Israel,

1707
01:47:08,920 --> 01:47:10,920
Speaker 1: she writes on Monday's show, you said the media is

1708
01:47:10,960 --> 01:47:15,080
Speaker 1: clearly their team, my team, concerning how the media presents

1709
01:47:15,160 --> 01:47:18,640
Speaker 1: news while they themselves professed to be impartial. It is

1710
01:47:18,720 --> 01:47:21,560
Speaker 1: so clearly true. Why do you think they don't just

1711
01:47:21,640 --> 01:47:24,040
Speaker 1: come out and say they represent the left when it

1712
01:47:24,160 --> 01:47:27,559
Speaker 1: hurt them financially? What's the downside? How can they think

1713
01:47:27,720 --> 01:47:30,560
Speaker 1: they came to appeal to anyone who is not on

1714
01:47:30,680 --> 01:47:32,560
Speaker 1: the left? You know, Honna, I do think about this

1715
01:47:32,680 --> 01:47:35,519
Speaker 1: with some regularity, because you know, CNN, for example, is

1716
01:47:35,680 --> 01:47:40,560
Speaker 1: delusional about its political leanings. A lot of journalists I

1717
01:47:40,640 --> 01:47:42,960
Speaker 1: know over there, and I know them, some of them

1718
01:47:43,000 --> 01:47:46,680
Speaker 1: I know well personally. They think that they're impartial. A

1719
01:47:46,760 --> 01:47:48,360
Speaker 1: lot of them know I think that this is all

1720
01:47:48,400 --> 01:47:51,320
Speaker 1: a game and that they act with him. They say

1721
01:47:51,360 --> 01:47:54,120
Speaker 1: they're impartial because it gives them mark ravitas. But I

1722
01:47:54,200 --> 01:47:57,600
Speaker 1: think some of them have have bought into this and

1723
01:47:58,439 --> 01:48:01,160
Speaker 1: they believe it is a short answer to your question,

1724
01:48:01,200 --> 01:48:03,160
Speaker 1: at least enough of them do, let the rest go

1725
01:48:03,240 --> 01:48:05,320
Speaker 1: along with it. All right, that's gonna be it for

1726
01:48:05,680 --> 01:48:07,800
Speaker 1: the Freedom Hut today. Thank you so much for joining

1727
01:48:07,840 --> 01:48:09,960
Speaker 1: me here on the Buck Sexton Show. Please download the

1728
01:48:10,040 --> 01:48:14,080
Speaker 1: podcast it is on iTunes, subscribe to it as well.

1729
01:48:14,200 --> 01:48:17,559
Speaker 1: Subscribe to The Buck Sexton Show on iTunes. We've got

1730
01:48:17,720 --> 01:48:21,320
Speaker 1: much more coming up tomorrow. Until then, she'll tigh