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Speaker 1: Second hour of Clay and Buck kicks off. Now we're

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Speaker 1: joined by our friend Alex Berenson. Unreported Truths is his

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Speaker 1: very successful substack which I would recommend you all go

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Speaker 1: subscribe to, where he does independent journalism, independent analysis and reporting. Alex,

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Speaker 1: great to have you back on the program. The title

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Speaker 1: of your piece that we want to have you on

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Speaker 1: to talk about from a couple of days ago, the

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Speaker 1: most enraging piece you will read this year. I would

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Speaker 1: caveat maybe given what we're talking about today, some of

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Speaker 1: these stories among the most enraging, definitely top of but

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Speaker 1: but it definitely emphasizes something that is very real that

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Speaker 1: people are starting to catch on to in larger and

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Speaker 1: larger numbers, and that is Democrat policies on crime are insane.

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Speaker 1: I mean, they're they're putting people at risk. Terrible things

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Speaker 1: keep happening that are preventable. Tell everybody this story out

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Speaker 1: of Seattle, what's gone on here, because it ties right

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Speaker 1: into our conversations about these illegals that have killed people recently.

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Speaker 2: Yes, so this gentleman was not an illegal. I think

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Speaker 2: he's actually a Washington NA and he in twenty twenty four,

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Speaker 2: he attacked an eighty year old woman. He was forty

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Speaker 2: eight at the time. He was trying a carjacker. He

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Speaker 2: pulled her out of her car. Actually, there were people

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Speaker 2: around who tried to stop him, and one of whom

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Speaker 2: I think actually tried to get a back and go

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Speaker 2: after him, but they weren't able to stop him, and

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Speaker 2: he sort of threw the woman against the car a

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Speaker 2: nearby car, and then backed into her and crushed her

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Speaker 2: and killed her.

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Speaker 3: And then drove off in the car.

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Speaker 2: And she was a dog walker because she was eighty

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Speaker 2: she had a dog walking business and was actually going

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Speaker 2: to the dog park with her own dog. And shortly thereafter,

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Speaker 2: people at a park in Seattle called animal control or

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Speaker 2: I don't know if they called animal control or the police,

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Speaker 2: but they called someone and said, there's somebody harming a dog.

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Speaker 2: It turned out this gentleman was stabbing this dog that

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Speaker 2: he had taken in this car to death. He threw

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Speaker 2: the dog away. This was, you know, this was not

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Speaker 2: exactly the crime of the century from a you know,

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Speaker 2: smart criminal point of view. He left his fingerprints. The

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Speaker 2: police found him, you know, less than twenty four hours later.

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Speaker 2: He still had the car key's with him. No one

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Speaker 2: is disputing. You know, normally I'm pretty careful when I

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Speaker 2: say alleged, but nobody's really disputing that he did this.

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Speaker 2: So what happened then is, so this guy has a

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Speaker 2: long history of crime. He's an eight time convicted felon,

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Speaker 2: and in fact was eligible for the three strikes program

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Speaker 2: that Washington had, which would have left him in jail

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Speaker 2: for the rest of his life, but ultimately, in a

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Speaker 2: crime about fifteen years ago, pled to something that did

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Speaker 2: eventually get him out.

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Speaker 3: So what his defense team is.

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Speaker 2: Claiming is that he's incompetent, and the situation is that

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Speaker 2: you have to be able to participate meaningfully in your

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Speaker 2: own defense this, which is reasonable. Okay, if you're too

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Speaker 2: insane even to you know, know what's going on, there

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Speaker 2: can't really be a trial. So the judge restored, you know,

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Speaker 2: ordered that he be given you know, psychiatric medicine to

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Speaker 2: be restored to competency.

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Speaker 3: And he was restored to competency.

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Speaker 2: So that should pave the way for the trial to begin,

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Speaker 2: except he was then discharged or moved as you say, discharge,

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Speaker 2: but moved back from the forensic hospital where he was

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Speaker 2: to jail and essentially stopped taking his medicine and so

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Speaker 2: became incompetent and again, or claimed to be incompetent again. Right,

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Speaker 2: there's some question as to whether he's malingering, whether he's

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Speaker 2: actually pretending to be incompetent or not.

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Speaker 3: And and you know, so I wrote.

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Speaker 2: About this because there was actually a second case that

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Speaker 2: got a lot of attention in Seattle, a twenty twenty

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Speaker 2: three murder where a man walked up to a woman,

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Speaker 2: a pregnant woman at whose car was stopped, and just

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Speaker 2: shot her six times, killed her, walked away. Now, that

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Speaker 2: guy was then just last week allowed to plead not

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Speaker 2: guilty by reason of insanity. And it seems pretty clear

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Speaker 2: that in that case, the guy actually is.

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Speaker 3: Not competent, you know.

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Speaker 2: And we can't argue about whether there should be some

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Speaker 2: kind of verdict of guilty but insane where he would

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Speaker 2: go to a forensic hospital and then go to jail

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Speaker 2: for the rest of his life. I think that makes sense.

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Speaker 2: But this case, to me is even worse. It's even

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Speaker 2: more upsetting and infuriating because this guy who did this,

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Speaker 2: this forty eight year old who killed the dog walker

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Speaker 2: in twenty twenty four, has a long criminal record. He

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Speaker 2: actually is another conviction for driving under the influence and

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Speaker 2: killing somebody. So this idea that he's actually too mentally

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Speaker 2: ill to participate in his trial. He knew exactly what

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Speaker 2: he was doing when he carjacked that car. He tried,

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Speaker 2: he tried to escape, right. So you know, you and

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Speaker 2: I have talked in the past about crimes that are

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Speaker 2: committed under the influence of psychosis, that might be drug

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Speaker 2: induced psychosis. Those have a certain look to them. This

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Speaker 2: case looks more just like a carjacking guy. Can I

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Speaker 2: just jump in, Alice manipulating his system?

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Speaker 4: This is important.

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Speaker 1: This guy in the Seattle case, you mentioned that that

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Speaker 1: just shot murdered this pregnant woman, just shot her six times,

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Speaker 1: killed the unborn baby. That guy is being has been

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Speaker 1: sent by a judge in Seattle to a psychiatric facility.

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Speaker 1: Instead of facing fifty plus years in prison, which is

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Speaker 1: what he was facing, he could be released in six months.

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Speaker 4: They could just let him go.

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Speaker 2: He could It's super unlikely that that would happen, but

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Speaker 2: you're right, he can be because he was found not

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Speaker 2: guilty by reason of insanity. Now again in that case,

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Speaker 2: and that's why I think we should have we should

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Speaker 2: introduce into our system a guilty but insane verdict where

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Speaker 2: if you are found you know, essentially not guilty by

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Speaker 2: reason of insanity, but there's no question you committed the crime.

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Speaker 2: If at some point you're restored to competency, you then

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Speaker 2: go to jail and you serve the crime. But that's

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Speaker 2: not the system that we have. We have a system

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Speaker 2: where if you were you know, judged inscene at the

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Speaker 2: time of the crime, you don't bear responsibility. And that's

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Speaker 2: where we are. So that that's a bad case. Again

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Speaker 2: to me, this this other case is worse because I

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Speaker 2: do think that there's a good chance that this guy's malingering.

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Speaker 5: Okay, so let's let's dive in here, because we've got

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Speaker 5: positive overall crime trend lines, we've got a lot of

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Speaker 5: people being arrested, h and put in put in jail.

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Speaker 5: Let's let's pretend Alex that we said, hey, we want

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Speaker 5: to have an actual war on murder, right and it

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Speaker 5: seems to some extent that that's what's happened in Washington,

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Speaker 5: d C. It's gotten way safer for everybody else. Don't

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Speaker 5: we basically know everybody who's going to commit a murder

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Speaker 5: in the context of uh, you know, it's it's not

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Speaker 5: very very often that somebody goes from completely law abiding

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Speaker 5: to murder. Right, that does occur, very very rarely, but

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Speaker 5: almost always. If you ask cops, they would say, yeah,

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Speaker 5: we know the three hundred people in our city who

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Speaker 5: are the most likely to commit murders. Can't we just

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Speaker 5: lock those guys up and actually keep them in prison

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Speaker 5: when they're arrested, as they always are for other offenses.

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Speaker 3: So so, I mean, can we lock them up for nothing? No?

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Speaker 5: No, I'm saying that these people are all always arrested.

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Speaker 5: Almost one hundred percent people who commit murder have long

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Speaker 5: rap sheets before they are convicted of a murder.

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Speaker 3: So there, I mean, there is.

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Speaker 2: This is like a really interesting discussion, And unfortunately I've

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Speaker 2: got to run to a TSA check point in the

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Speaker 2: near future, so I can't have it with you for

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Speaker 2: a long time. But so, yes, crime, certainly, murders are

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Speaker 2: going down in the US, right, There's been a long

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Speaker 2: trend on this. Yet people's perceptions of public safety and

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Speaker 2: certainly like in cities like Seattle and New York, are

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Speaker 2: not improving. And why that is, I think is so

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Speaker 2: a lot of crime, most crime is committed by the

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Speaker 2: people you're talking about, right, and oftentimes in the eighties

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Speaker 2: in particular, it.

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Speaker 3: Was drug dealing related crime.

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Speaker 2: Right, So what's happened, Well, actually, there's nobody work in

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Speaker 2: the corners anymore. A lot of when drugs are bought

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Speaker 2: often they're bought off snapchat, they're bought off you know,

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Speaker 2: your phone and so like, there's not actually territorial wars anymore.

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Speaker 2: So that's really helped the cops.

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Speaker 3: Right.

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Speaker 2: Plus they have spotshotter, they have lots of good investigative

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Speaker 2: techniques that they didn't used to have. So why are

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Speaker 2: people more scared? Because the kind of crime that I

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Speaker 2: just mentioned to you that we've been talking about, right,

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Speaker 2: walking up to somebody in the street who's a true

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Speaker 2: innocent who doesn't have any you know, isn't out there

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Speaker 2: by drugs, right, those are the crimes that scare people,

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Speaker 2: and you know, they scare women, people who you know,

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Speaker 2: who don't expect to be a victim of violent crime

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Speaker 2: and who quote unquote shouldn't be a victim of violent crime.

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Speaker 3: And to me, that's where we've got.

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Speaker 2: To focus our energy. And you know, the number one

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Speaker 2: way to do that is to get sort of drug

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Speaker 2: that homeless people who are who are having psychosis off

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Speaker 2: the streets, and I favor you know, the Trump administration

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Speaker 2: has moved in this direction, and I think they should

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Speaker 2: continue to do this civil commitment policies that will get

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Speaker 2: these folks off the streets.

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Speaker 1: Alex Bearson, unreported truths. Alex, good luck at the airport, buddy,

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Speaker 1: Thanks for calling in before you run.

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Speaker 4: Thanks guys, Yeah, go to it.

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Speaker 1: I hope you're six hours early anyway, or whatever crazy

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Speaker 1: things are saying for New York City these days, Clay

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Speaker 1: can we I just want to address this follow up

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Speaker 1: on what Alex is saying. This is so important when

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Speaker 1: we look at crime. People ask me about what crime

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Speaker 1: is like in New York City when I was growing

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Speaker 1: up there, because this is the huge turnaround case story

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Speaker 1: that ever. And we sites for a city twenty two

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Speaker 1: hundred murders in nineteen ninety nineteen ninety one, Okay, twenty

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Speaker 1: two hundreds, huge amount of murders. Now, there was a

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Speaker 1: lot of decay and disorder and graffiti and bad things

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Speaker 1: going on, but a huge majority of those murders were

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Speaker 1: still happening in high crime areas right there. More stuff

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Speaker 1: would bleed over the city. He was less safe, No

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Speaker 1: question bad guys shooting each other.

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Speaker 4: When you look at.

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Speaker 1: Chicago, why is it that rich Democrats who live in

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Speaker 1: what isn't like Lincoln Park a really nice area. I

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Speaker 1: don't know Chicago well, is that a fancy area? The

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Speaker 1: North side of Chicago is very nice. Wherever the wherever

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Speaker 1: the fancy rich people in Chicago live. Why aren't they

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Speaker 1: all voting Republican Because all the shootings are happening in

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Speaker 1: the South and the West Side for the most part.

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Speaker 1: But what you see because of Democrats refusal to deal

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Speaker 1: with these essentially drug addicted and or severely psychiatric, unstable

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Speaker 1: repeat criminals, is people being stabbed in broad daylight with

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Speaker 1: their dog in a park in a nice area. Someone

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Speaker 1: on sixty third Street subway in New York City, a

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Speaker 1: man being thrown on the subway tracks by a career criminal,

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Speaker 1: a felon in that case inn the llegal alien too.

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Speaker 1: Those hit people differently. This isn't about drug dealers shooting

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Speaker 1: drug dealers in uh you know, inner city.

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Speaker 5: Back doesn't eyway that those murders don't make news right

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Speaker 5: still to this day. To your point, I think that's important.

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Speaker 5: I think what Alex is saying too, and what would

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Speaker 5: be interesting is while we may be in a low

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Speaker 5: and murders overall, are people who are one hundred percent

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Speaker 5: innocent being killed at high rates. That's a really fascinating

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Speaker 5: question to go into, right because if you're engaging in

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Speaker 5: criminal behavior, I still hope you don't get killed. But

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Speaker 5: if criminals are shooting at each other, to Buck's point,

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Speaker 5: when there are twenty two hundred murders going on and

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Speaker 5: most of the people getting killed are those individuals, it

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Speaker 5: is different and it does hit people differently than an

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Speaker 5: eighty three year old veteran like what just happened in

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Speaker 5: Manhattan Richard Williams, or this young eighteen year old college

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Speaker 5: girl who just goes to a park and gets murdered

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Speaker 5: while she's there by an illegal immigrant. Both of these

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Speaker 5: people killed by legal immigrants. I also come back to Buck,

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Speaker 5: and this is where I think you really have to

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Speaker 5: push back aggressively because they'll say, well, I don't know

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Speaker 5: why you're focusing on immigrant crime again. My answer is

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Speaker 5: because it should be zero. I wish we had a

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Speaker 5: zero crime for American citizens. But you, when you come

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Speaker 5: here illegally, you should have never been allowed in this country.

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Speaker 5: You should have never been permitted to commit a crime,

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Speaker 5: and we should have shared in Gorman and there are

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Speaker 5: a ton of Shargan Gorman's Lake and Riley's everywhere. Young

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Speaker 5: innocent college girls should still be alive. Let's let's let's

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Speaker 5: just kind of take this to an analogy for second Clay.

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Speaker 5: If I was walking through my neighborhood, you know, I

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Speaker 5: walked Ginger around all the time.

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Speaker 4: She's the sweetest little dog.

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Speaker 1: And but if I start if somebody's eighty pound pit

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Speaker 1: bull was aggressive and attacked, let's say, attacked someone else's dog,

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Speaker 1: and I knew this dog was a danger.

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Speaker 4: I knew this dog was dangerous to people.

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Speaker 1: No owner, no leash, no harness, nothing, Okay, But I

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Speaker 1: let's just say, and obviously I know this would be

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Speaker 1: a difficult thing to do. I take this pit bull

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Speaker 1: off of another dog that it's attacking, and I go,

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Speaker 1: you know what, I don't want people to think poorly

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Speaker 1: of pit bulls. So I'm going to take this dog.

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Speaker 1: Instead of taking it to animal control or instead of

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Speaker 1: making sure that it is contained, I'm gonna release it

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Speaker 1: in the nearest dog park and just see if it,

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Speaker 1: you know, rips apart someone's toy poodle yeah, everybody would

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Speaker 1: rightly think that I was being a monster. Law enforcement

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Speaker 1: in sanctuary cities is doing that every day with these criminals,

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Speaker 1: every single and then they and then and they go,

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Speaker 1: oh my gosh, the pit bull just ripped apart a

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Speaker 1: little poodle. Yeah, it's ripped apart five other little poodles,

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Speaker 1: and you keep letting it loose in the park because

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Speaker 1: you don't want to be mean to pit bulls.

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Speaker 4: Sorry to the pit bull owners. By the way, I

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Speaker 4: know you're gonna get I'm just you know, gonna get

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Speaker 4: kicked off at me.

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Speaker 5: Yeah, pitbull is the most violent dog. But no, I mean, look,

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Speaker 5: if you have a violent but the way that I

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Speaker 5: would put it is, if you have a violent predator

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Speaker 5: that you know is a violent predator, and.

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Speaker 1: We'll make it a present Canario Clay, we'll get something

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Speaker 1: that's not gonna upset everybody.

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Speaker 4: Those are huge, very strong dogs. Okay, a present canar.

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Speaker 4: But you see the analogy, it's the same analogy.

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Speaker 5: No, it's it's one hundred percent right. And again it

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Speaker 5: comes back to the question I was asking Alex, which

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Speaker 5: is and you know this from your time working with

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Speaker 5: the NYPD. Jointly, we know who is going to commit murders.

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Speaker 5: At this point, it is very very rare that someone

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Speaker 5: has a completely clean criminal background and just kills a

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Speaker 5: completely innocent person. Does it happen every now and then? Yes,

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Speaker 5: so rarely. The murder rate would be basically non existent

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Speaker 5: if we just kept violent people off the street every

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Speaker 5: and this is where unfortunately, libertarians, you have been a

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Speaker 5: scourge on this issue. I'm just going to say it

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Speaker 5: out loud, the libertarian industrial complex with their.

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Speaker 1: Three strikes laws, people are going to prison forever for

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Speaker 1: stealing a pair of socks. No, we actually need three

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Speaker 1: strikes laws. We just need them to be for serious felonies. Okay,

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Speaker 1: now's the tame. You go to prison forever for jaywalking,

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Speaker 1: but you do three class A or you know, class

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Speaker 1: one felonies three every state that thinks that it's serious

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Speaker 1: about some of you, by the way, are like, that's

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Speaker 1: even two. But let's start there. Three three serious felonies.

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Speaker 1: You go away for twenty three serious felonies. You go

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Speaker 1: You know, not a lot of people are worried about

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Speaker 1: what happens to people, you know, when they come out

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Speaker 1: in their fifties and sixties. Okay, why not have that?

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Speaker 1: Why not have that law. You know, there's really a

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Speaker 1: criminal justice conversations one. Democrats have nothing. They have nothing

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Speaker 1: to add to this other than just letting people continue

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Speaker 6: Stories of Freedom, Stories of America, inspirational stories that you

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Speaker 6: unite us all each day, Spend time with Clay and

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Speaker 6: buy find them on the free iHeartRadio app or wherever

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Speaker 6: you get your podcasts.

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Speaker 5: Welcome back in Clay, Travis buck Sexton Show. Our thanks

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Speaker 5: to Alex Bearnson who was just on with us running

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Speaker 5: through unfortunately a lot of awful stories. I think this

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Speaker 5: is a good example Buck, you were talking about AI.

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Speaker 5: This is a great opportunity I think to have a

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Speaker 5: deep data dive on I would, for instance, a love

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Speaker 5: to know this for anyone out there that is charged

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Speaker 5: with murder, how many prior criminal charges had they faced

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Speaker 5: before they committed a murder they were charged with?

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Speaker 3: Right?

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Speaker 5: I would bet the average person charged with murder in

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Speaker 5: America had been charged with five or six criminal offenses

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Speaker 5: different than the murder charge beforehand. This is one where

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Speaker 5: I think you could pour all of that data into

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Speaker 5: an analytic and start to figure out based on looking

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Speaker 5: at the people being arrested, Hey, this is a guy

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Speaker 5: who is likely to commit a murder. Going forward to

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Speaker 5: your point, we know that age has a lot to

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Speaker 5: do with it. Right, There aren't a lot of sixty

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Speaker 5: plus year old murderers. There are very few women who

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Speaker 5: commit murders. There are very few Asian people of all

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Speaker 5: backgrounds that commit murders. You can plug in all of

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Speaker 5: this data set. I think we could drive murder down

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Speaker 5: to a statistically minuscule level if we actually forced ourselves

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Speaker 5: and did a good job with media going forward to

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Speaker 5: try to do that. Look, if you're trying to say

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Speaker 5: without dollars right now, sometimes it can be difficult. What

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Speaker 5: if I told you between now and the end of

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Speaker 5: the year, you could save one thousand dollars on your

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Speaker 5: cell phone bill and have the great service that you

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Speaker 5: already have grown accustomed to, just pay way less for it.

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Speaker 5: That sounds like it'd be a pretty good deal for you, right.

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Speaker 5: That's what pure Talk can do. Pound two five zero

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Speaker 5: your same phone number, you can keep your same phone,

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Speaker 5: you can save up to one thousand dollars over the

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Speaker 5: course of a year. I use Pure Talk to stay

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Speaker 5: in touch with my two oldest kids who have cell phones,

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Speaker 5: just texting with them a little bit earlier during the program.

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Speaker 5: Pound two five zero is that code you say, Clay

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Speaker 5: and Buck. You can sign up for Pure Talk today

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Speaker 5: and you can say up to one thousand dollars over

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Speaker 5: say Clay and Buck pound two five zero. Do it today,

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Speaker 5: speaking truth and having fun. Clay, Travis and Buck Sexton.

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Speaker 5: Now welcome back into Clay and Buck here.

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Speaker 1: So we got a lot of calls, Let's get to them,

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Speaker 1: a lot of talkbacks, emails it coming in from you

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Speaker 1: all across this great land of ours. Chuck in Columbus,

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Speaker 1: Georgia wants to talk to us. What's going on?

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Speaker 7: Chuck, Hey, your analogy on the pitbull I think was

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Speaker 7: way more accurate than you realize. Play with statistics a

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Speaker 7: little bit. So the pit makes up about six percent

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Speaker 7: of the dog population, is doing over seventy percent of

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Speaker 7: the maulings and killings the same demographic that it's actually breeding.

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Speaker 7: The pit is doing about a similar amount of the

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Speaker 7: violent crimes in America. Interesting. Also, pit's the only breed

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Speaker 7: with a propaganda wing that when it does, you know, attack,

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Speaker 7: seems to protect it very much like our media protects

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Speaker 7: the same violent crowd that commits crimes in America. So

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Speaker 7: great analogy.

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Speaker 1: Well, thank and Chuck is a retired lieutenant by a

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Speaker 1: lieutenant colonel I'm sorry, and the military lieutenant in the

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Speaker 1: police force.

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Speaker 4: I couldn't tell from this.

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Speaker 7: Lieutenant colonel retired Army Infantry.

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Speaker 4: Army Army Infantry. Thank you for your service, sir.

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Speaker 1: There are lieutenants also police forces, by the way, like

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Speaker 1: New York City or not.

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Speaker 4: I actually don't think New York has a tennis.

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Speaker 5: I love that you're going to be getting attacked by

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Speaker 5: pitbull owners, but.

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Speaker 4: Well that's actually makes a lot of sense. I'm getting

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Speaker 4: attacked by pitbull owners. But this is go ahead.

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Speaker 5: No, I think the analogy is a really good one.

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Speaker 5: And again with data and analytics there are The math

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Speaker 5: is pretty clear. Right, We've talked about this before. Young

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Speaker 5: black men. This is just the facts. Young black men

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Speaker 5: commit over half of all murders in America and represent

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Speaker 5: a tiny statistical population writ large, right, and it's mostly

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Speaker 5: young black men from the ages of about sixteen to

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Speaker 5: about forty, right, and forty is extending it quite a lot,

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Speaker 5: but it's young men commit overwhelming amounts of violent crime.

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Speaker 5: Young black men, disproportionately off the charts, commit violent crime.

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Speaker 5: Most of their victims are other young black men. Which

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Speaker 5: is why we've said when President Trump, for instance, drives

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Speaker 5: down the murder rate in Washington, d c. By sixty

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Speaker 5: five percent, as he has done this year compared to

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Speaker 5: last year, overwhelmingly the lives that are being saved are

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Speaker 5: young black males. And you talked about this yesterday. Buck

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Speaker 5: the data plot of shootings in New York City, there

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Speaker 5: were three hundred and fifty six black shooters two white

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Speaker 5: shooters in twenty twenty five in New York City three

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Speaker 5: hundred and fifty six to two. And there are more

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Speaker 5: white people in New York than Black people overall as

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Speaker 5: a percentage of population, it's pretty close. I think it's

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Speaker 5: like thirty and twenty. But the point is, what is

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Speaker 5: going on with this? By the way, can I just

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Speaker 5: return to the dog thank for a second, because I've

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Speaker 5: again the.

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Speaker 1: Analogy we're talking about before, I would put my love

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Speaker 1: of dogs up against any I absolutely love dogs, like

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Speaker 1: maybe even like it just irrationally. I think they're like

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Speaker 1: angels said from God to be our furry companions on

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Speaker 1: this earth. I love dogs. I know there are great

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Speaker 1: pit bulls out there. I've met great pit bulls. Here

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Speaker 1: is how I would describe the difference to it. Because

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Speaker 1: I'm clare, I'm already getting I'm already getting the pit

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Speaker 1: bull Lobby's coming out.

436
00:22:05,760 --> 00:22:07,000
Speaker 4: They're gonna hit me hard on this.

437
00:22:07,240 --> 00:22:10,359
Speaker 1: Let me just explain, and honestly, I'm right, and this

438
00:22:10,400 --> 00:22:13,600
Speaker 1: should at least contextualize if not in the argument, I

439
00:22:13,640 --> 00:22:15,639
Speaker 1: also do a lot of shooting. I'm gonna be going shooting,

440
00:22:16,080 --> 00:22:17,720
Speaker 1: if not this weekend next week, I'm it'spend the whole

441
00:22:17,760 --> 00:22:20,679
Speaker 1: day at the range, tactical shooting. There are BB guns

442
00:22:21,520 --> 00:22:25,840
Speaker 1: and there are AR fifteens. Okay, either one of them

443
00:22:25,840 --> 00:22:29,360
Speaker 1: can be misused, and maybe BB guns are not more

444
00:22:29,440 --> 00:22:31,880
Speaker 1: likely to be misuser maybe air fifteens or I won't

445
00:22:31,880 --> 00:22:35,240
Speaker 1: even get into that conversation. The difference is if somebody

446
00:22:35,920 --> 00:22:41,040
Speaker 1: misuses a BB gun, everyone's gonna be okay. Yeah, you know,

447
00:22:41,240 --> 00:22:43,360
Speaker 1: you might lose an eye in the worst case scenario,

448
00:22:43,440 --> 00:22:47,320
Speaker 1: but everyone's gonna be okay. If someone misuses an AAR fifteen,

449
00:22:47,400 --> 00:22:49,600
Speaker 1: someone could lose their life, or several people could lose

450
00:22:49,600 --> 00:22:54,359
Speaker 1: their lives very quickly, very easily. That is the dog analogy.

451
00:22:54,440 --> 00:22:58,480
Speaker 1: Your eighty pound pit bull is not my twenty pound labradoodle.

452
00:22:59,080 --> 00:23:02,680
Speaker 1: Stop pretending it's not the same. Now, if you're responsible,

453
00:23:02,840 --> 00:23:05,600
Speaker 1: just like if you're responsible with a firearm, that's fine.

454
00:23:05,920 --> 00:23:09,240
Speaker 1: But pretending that the risk is no different is delusional.

455
00:23:09,600 --> 00:23:11,399
Speaker 1: It is a delusional thing that I get from some

456
00:23:11,440 --> 00:23:13,639
Speaker 1: of these pit bull owners. And again, I've met sweet

457
00:23:13,640 --> 00:23:15,720
Speaker 1: pit bulls. If you have a sweet pit bull, that's fine,

458
00:23:16,320 --> 00:23:18,920
Speaker 1: but you're taking on It's like you're at the range

459
00:23:18,920 --> 00:23:21,320
Speaker 1: with a five five six. You have to be damn

460
00:23:21,400 --> 00:23:24,119
Speaker 1: sure that you are in control. And every round that

461
00:23:24,160 --> 00:23:26,760
Speaker 1: comes out of that rifle, you know exactly where it's going.

462
00:23:27,320 --> 00:23:30,800
Speaker 4: You got a bad gun. You know, someone's chihuahua goes rogue.

463
00:23:30,960 --> 00:23:31,800
Speaker 4: No one's dying.

464
00:23:32,200 --> 00:23:35,840
Speaker 1: It's a different thing, okay, And I've never heard anyone

465
00:23:35,840 --> 00:23:36,639
Speaker 1: that's able to get around.

466
00:23:36,640 --> 00:23:38,800
Speaker 4: Oh but what about the statistics call the retrievers bite

467
00:23:38,840 --> 00:23:39,280
Speaker 4: more people?

468
00:23:39,359 --> 00:23:43,199
Speaker 1: No, no, no, okay, we're talking about real risk to

469
00:23:43,280 --> 00:23:46,600
Speaker 1: people and the dog thing. You know, this couldn't be

470
00:23:46,600 --> 00:23:49,199
Speaker 1: any more straightforward. Go ahead, send me your pit boll

471
00:23:49,200 --> 00:23:50,800
Speaker 1: owners are gonna send me their angry emails.

472
00:23:51,080 --> 00:23:52,879
Speaker 5: I think I've talked about this on the show before.

473
00:23:52,960 --> 00:23:57,080
Speaker 5: When I was six years old at German shepherd almost

474
00:23:57,119 --> 00:23:58,160
Speaker 5: ripped off my whole face.

475
00:23:58,520 --> 00:24:01,080
Speaker 1: Yeah, it wasn't a cavalier King Charles Spaniel. What a

476
00:24:01,160 --> 00:24:03,800
Speaker 1: shock play, right, I mean, these are different things, everybody.

477
00:24:04,040 --> 00:24:05,879
Speaker 1: I was over at a friend's house. We both had

478
00:24:05,960 --> 00:24:10,280
Speaker 1: chicken pox, went in the backyard, reached down, no interaction

479
00:24:10,440 --> 00:24:14,040
Speaker 1: with the dog. Prior dog comes running up because we're

480
00:24:14,040 --> 00:24:16,400
Speaker 1: in the backyard. I reached down to pat the top

481
00:24:16,440 --> 00:24:18,760
Speaker 1: of the dog's head, jumps up and rips half my

482
00:24:18,760 --> 00:24:21,960
Speaker 1: face offs. I mean that's a really intense storage.

483
00:24:22,040 --> 00:24:22,200
Speaker 3: No.

484
00:24:22,240 --> 00:24:25,000
Speaker 5: I mean, yeah, six years old, I had to get

485
00:24:25,040 --> 00:24:26,840
Speaker 5: I mean you think about how tiny I was a

486
00:24:26,840 --> 00:24:30,840
Speaker 5: first grader. Think about how little first grader is. I

487
00:24:30,920 --> 00:24:33,760
Speaker 5: think I had to get like sixty stitches ripped. You

488
00:24:33,760 --> 00:24:37,760
Speaker 5: could see my cheekbone, My lip was split open, you

489
00:24:37,760 --> 00:24:42,560
Speaker 5: could add a hole in my my either cheek. Good surgeon, thankfully,

490
00:24:43,200 --> 00:24:44,960
Speaker 5: you know, at least somewhat. I mean, I don't think

491
00:24:45,000 --> 00:24:46,840
Speaker 5: I look like you know, if you get close you

492
00:24:46,880 --> 00:24:49,679
Speaker 5: can see still see the scars in my face. But

493
00:24:50,480 --> 00:24:54,000
Speaker 5: that German shepherd. We did a lot of looking into

494
00:24:54,200 --> 00:24:58,840
Speaker 5: data back then when I was six. Different animals, different

495
00:24:58,840 --> 00:25:02,200
Speaker 5: dogs have a huge usually different propensity for violence when

496
00:25:02,200 --> 00:25:03,000
Speaker 5: it comes to humans.

497
00:25:03,400 --> 00:25:06,879
Speaker 1: BB gun versus AR fifteen. Everybody again, I own, I

498
00:25:06,960 --> 00:25:09,119
Speaker 1: own an AR fifteen. You know, if you want, if

499
00:25:09,119 --> 00:25:11,560
Speaker 1: you want to take all that responsibility, of course, that's fine.

500
00:25:11,680 --> 00:25:13,920
Speaker 1: But just don't pretend you're AR fifteen is a bb gun.

501
00:25:13,960 --> 00:25:17,040
Speaker 1: It's the same thing. It's not okay. If someone gave

502
00:25:17,040 --> 00:25:19,520
Speaker 1: a ten year old without supervision an AR fifteen, they

503
00:25:19,520 --> 00:25:20,280
Speaker 1: should go to prison.

504
00:25:20,600 --> 00:25:22,640
Speaker 4: Some people might give the ten year old, you.

505
00:25:22,600 --> 00:25:25,240
Speaker 1: Know, give them a BB gun, go play some it's different,

506
00:25:25,600 --> 00:25:29,159
Speaker 1: the risk profile is different. And with dogs it's it's

507
00:25:29,200 --> 00:25:31,080
Speaker 1: obviously the same thing. And by the way, people say,

508
00:25:31,320 --> 00:25:34,600
Speaker 1: what about Rottweiler's what about you were you had a

509
00:25:34,600 --> 00:25:38,359
Speaker 1: German shepherd and shepherd? Yeah, those are higher risk, you know,

510
00:25:38,440 --> 00:25:41,160
Speaker 1: maybe those are you know, nine millimeters dogs. But there's

511
00:25:41,200 --> 00:25:44,480
Speaker 1: differences here with with the danger. I mean, no one's

512
00:25:44,480 --> 00:25:47,160
Speaker 1: ever been killed by a French bulldog ever. Ever, has

513
00:25:47,240 --> 00:25:50,600
Speaker 1: not happened. Impossible for a human being to be murdered

514
00:25:50,640 --> 00:25:54,960
Speaker 1: by a French bulldog. It's not the same everybody anyway.

515
00:25:55,119 --> 00:25:57,199
Speaker 1: I think actually most people get this. I'll have a

516
00:25:57,200 --> 00:26:01,359
Speaker 1: few people that are like, no, no, okay. So Chuck

517
00:26:01,359 --> 00:26:05,200
Speaker 1: and Columbus agreed with me. Here we go, Jeane and Cobbles.

518
00:26:05,240 --> 00:26:07,159
Speaker 5: I was gonna say, Jean's got a tough argument, but

519
00:26:07,160 --> 00:26:09,560
Speaker 5: I'm gonna let Gene make it. Jane fire away.

520
00:26:10,400 --> 00:26:13,240
Speaker 8: Okay, brothers, thank you very much. Great listening to you. Guys.

521
00:26:13,440 --> 00:26:16,439
Speaker 8: You mentioned earlier about three strikes and you go to

522
00:26:16,480 --> 00:26:19,160
Speaker 8: jail for twenty years New York State. I think under

523
00:26:19,200 --> 00:26:22,040
Speaker 8: Governor Rockefeller had a three strikes and you went to

524
00:26:22,080 --> 00:26:25,640
Speaker 8: jail full life. The problem I don't think it considered

525
00:26:25,800 --> 00:26:29,679
Speaker 8: was law enforcement was not really behind that. Because if

526
00:26:29,720 --> 00:26:32,000
Speaker 8: you're going to arrest the guy on his third felony,

527
00:26:32,880 --> 00:26:35,840
Speaker 8: he mosl just shoot it out. What's the point of

528
00:26:35,840 --> 00:26:39,440
Speaker 8: being arrested. It put the police department in tremendous danger.

529
00:26:39,720 --> 00:26:41,960
Speaker 8: I have a lot of family that's in law enforcement.

530
00:26:42,000 --> 00:26:45,399
Speaker 8: I'm not, but they were not happy about that. You

531
00:26:45,480 --> 00:26:48,600
Speaker 8: arresting that guy for his third felony. The mosel just

532
00:26:48,680 --> 00:26:50,440
Speaker 8: blashed away and hoped for the best.

533
00:26:50,920 --> 00:26:53,280
Speaker 1: Well maybe so. A few things I would say here, Gene.

534
00:26:53,280 --> 00:26:55,040
Speaker 1: First of all, it doesn't have to be a life

535
00:26:55,080 --> 00:26:58,320
Speaker 1: sentence like for as I said twenty years Honestly, it

536
00:26:58,320 --> 00:27:00,560
Speaker 1: would be a huge advance if it was even a

537
00:27:00,600 --> 00:27:04,919
Speaker 1: mandatory ten, because at least there'll be a fish, you know,

538
00:27:04,960 --> 00:27:07,960
Speaker 1: if it's a mandatory ten, at least there's official punishment,

539
00:27:08,000 --> 00:27:09,640
Speaker 1: and by the change of state by state. I don't

540
00:27:09,640 --> 00:27:11,679
Speaker 1: know what it is in New York right now, but

541
00:27:11,760 --> 00:27:14,120
Speaker 1: if that were the case everywhere, you wouldn't have individuals

542
00:27:14,200 --> 00:27:16,320
Speaker 1: arrested one hundred times who have done no real time.

543
00:27:16,680 --> 00:27:17,760
Speaker 4: I mean, how is that possible I.

544
00:27:17,720 --> 00:27:22,120
Speaker 8: Have Can I just pivot real quickly to the dog?

545
00:27:22,280 --> 00:27:22,600
Speaker 4: Sure?

546
00:27:23,040 --> 00:27:25,560
Speaker 8: Yeah, sure, I had dogs my whole life. I had lambs.

547
00:27:25,560 --> 00:27:28,919
Speaker 8: I had a bunch of laboratory retrievers and whatnot. That

548
00:27:29,119 --> 00:27:31,359
Speaker 8: laboratory retriever when he was a puppy, I'd throw a

549
00:27:31,400 --> 00:27:33,320
Speaker 8: stick in the water, he'd go out, he'd retrieve it,

550
00:27:33,400 --> 00:27:36,359
Speaker 8: he'd bring it back. It was in his DNA. I

551
00:27:36,359 --> 00:27:38,879
Speaker 8: had a little terrier. I bring him out in the field.

552
00:27:39,080 --> 00:27:41,359
Speaker 8: He'd go dig up mice and moles out of the ground.

553
00:27:41,560 --> 00:27:44,159
Speaker 8: It was in his DNA. No one showed him that

554
00:27:44,640 --> 00:27:49,199
Speaker 8: pitbulls and their DNA is to attack. And that's my

555
00:27:49,240 --> 00:27:49,840
Speaker 8: opinion on it.

556
00:27:49,920 --> 00:27:53,240
Speaker 1: And that's why, Gene, I'm going to upset some people.

557
00:27:53,440 --> 00:27:54,119
Speaker 4: I agree with you.

558
00:27:54,600 --> 00:27:56,960
Speaker 1: My dog is obsessed with fetch because she has two

559
00:27:57,000 --> 00:28:00,360
Speaker 1: retrievers in her in her blood. Lunch I ever taught

560
00:28:00,359 --> 00:28:02,199
Speaker 1: her to play fetch. She will play fetch until she

561
00:28:02,200 --> 00:28:04,199
Speaker 1: basically falls over in exhaustion if you let her. She

562
00:28:04,280 --> 00:28:07,960
Speaker 1: loves fetch. That's just because she's a retriever, because she

563
00:28:08,000 --> 00:28:10,880
Speaker 1: comes from a poodle and a Labrador Retriever and that's

564
00:28:10,880 --> 00:28:13,760
Speaker 1: what they do. Now, can you get around this is

565
00:28:13,760 --> 00:28:17,480
Speaker 1: their nature nurture? Of course, sure. But Clay, here's another example.

566
00:28:17,720 --> 00:28:19,399
Speaker 1: Why can't you just people will tell you if you

567
00:28:19,400 --> 00:28:22,080
Speaker 1: found a baby cougar in the woods, you could hand

568
00:28:22,119 --> 00:28:25,960
Speaker 1: raise it. You could hand raise that baby cougars. I'm

569
00:28:25,960 --> 00:28:28,879
Speaker 1: talking about the cat, Clay. I know, we're not talking

570
00:28:28,920 --> 00:28:33,159
Speaker 1: about ladies in mini skirts in their late forties. Okay,

571
00:28:33,200 --> 00:28:36,080
Speaker 1: we're talking about the actual wild animals.

572
00:28:37,080 --> 00:28:40,160
Speaker 5: Those are actually more dangerous than the actual wild animal.

573
00:28:40,760 --> 00:28:42,320
Speaker 4: I know exactly where Clay's going.

574
00:28:42,520 --> 00:28:44,240
Speaker 1: But people will tell you, no matter what you do,

575
00:28:44,600 --> 00:28:47,680
Speaker 1: they'll say, that's a wild animal that's not domesticated. Well,

576
00:28:47,680 --> 00:28:51,000
Speaker 1: that's purely a function of the genetics of the animal. Right,

577
00:28:51,000 --> 00:28:52,360
Speaker 1: because it's a cat just like a house.

578
00:28:52,440 --> 00:28:58,520
Speaker 5: Means the tiger guy back during COVID, you raise those

579
00:28:58,600 --> 00:29:01,920
Speaker 5: tigers from the times the little kittens, right and and

580
00:29:01,920 --> 00:29:04,520
Speaker 5: and one of the handlers had his arm ripped off. Yes,

581
00:29:04,760 --> 00:29:07,800
Speaker 5: they grow again. They turn into tigers, even if they

582
00:29:07,800 --> 00:29:10,240
Speaker 5: are raised by humans. From there is a thing I

583
00:29:10,360 --> 00:29:12,560
Speaker 5: told you. I actually just mentioned it to Kerry recently too.

584
00:29:12,640 --> 00:29:16,080
Speaker 5: I think it's a really under sort of underviewed or not,

585
00:29:16,240 --> 00:29:18,600
Speaker 5: you know, well enough known project NIM about the people

586
00:29:18,640 --> 00:29:22,520
Speaker 5: that it's from Columbia LIB LIB Universe LIB University professors

587
00:29:22,560 --> 00:29:25,800
Speaker 5: in New York City raising a chimpanzee as close to

588
00:29:25,880 --> 00:29:28,800
Speaker 5: being like how you would raise a human child as possible.

589
00:29:28,840 --> 00:29:30,960
Speaker 1: They taught it sign language. I mean, they really tried

590
00:29:31,000 --> 00:29:32,920
Speaker 1: to make this whole thing and it's amazing. And when

591
00:29:32,920 --> 00:29:34,440
Speaker 1: it's little, it's the cutest thing you've ever seen. It

592
00:29:34,440 --> 00:29:37,000
Speaker 1: gets older, you know what happens. It gets pissed off,

593
00:29:37,680 --> 00:29:39,840
Speaker 1: It decides that it's gonna do something that you don't

594
00:29:39,840 --> 00:29:41,880
Speaker 1: want it to do, because it has its own views,

595
00:29:41,920 --> 00:29:46,080
Speaker 1: its own you know, it's its own. And they're crazy strong,

596
00:29:46,240 --> 00:29:48,880
Speaker 1: crazy strong and very dangerous. That's what That's what you

597
00:29:48,960 --> 00:29:52,120
Speaker 1: find out from the movie. They're crazy, strong and very dangerous.

598
00:29:52,440 --> 00:29:58,880
Speaker 1: So hold on, uh okay, here we go, Gussie and Savannah.

599
00:29:59,160 --> 00:30:00,840
Speaker 4: We got we got it. We got the pro pitbull

600
00:30:00,880 --> 00:30:02,960
Speaker 4: side of the argument. I knew this was going to happen.

601
00:30:03,000 --> 00:30:06,120
Speaker 4: Go ahead, Gussie, Hi there.

602
00:30:06,720 --> 00:30:10,680
Speaker 9: I just wanted to say that I think pit bulls

603
00:30:10,760 --> 00:30:14,600
Speaker 9: get a very bad rap. They're not all bad. At

604
00:30:14,600 --> 00:30:18,800
Speaker 9: one time, we blame the Doberman, we blame the German shepherd,

605
00:30:18,960 --> 00:30:23,320
Speaker 9: we blame blame the rotweller, and now it's the pitbulls turn.

606
00:30:23,720 --> 00:30:27,200
Speaker 9: And I don't think that it's the right thing to

607
00:30:27,480 --> 00:30:32,280
Speaker 9: just generalization say that all pits are bad. They're not.

608
00:30:33,240 --> 00:30:35,120
Speaker 9: It's according to how they're raised.

609
00:30:35,240 --> 00:30:36,920
Speaker 4: And Gussy, can I ask you very can? I ask

610
00:30:36,920 --> 00:30:37,560
Speaker 4: you very quickly?

611
00:30:37,560 --> 00:30:37,760
Speaker 8: Though.

612
00:30:37,880 --> 00:30:39,360
Speaker 4: Did I say that all pits are bad?

613
00:30:40,440 --> 00:30:40,640
Speaker 8: No?

614
00:30:40,640 --> 00:30:44,120
Speaker 9: No, you did not. I did not, right, right, right,

615
00:30:44,200 --> 00:30:48,160
Speaker 9: But you're using the pit as an analogy, and I

616
00:30:48,280 --> 00:30:50,800
Speaker 9: just don't think that that's fair to the pit bull.

617
00:30:51,120 --> 00:30:53,560
Speaker 4: I understand, but Gussie is a is a pit bull.

618
00:30:53,800 --> 00:30:56,479
Speaker 1: If you have one in one hundred bad pitbulls and

619
00:30:56,560 --> 00:30:59,560
Speaker 1: one in one hundred bad shihuahuas, is the pitbull more

620
00:30:59,640 --> 00:31:02,000
Speaker 1: danger us to a human being than the Chiuaha?

621
00:31:02,760 --> 00:31:02,920
Speaker 7: Oh?

622
00:31:03,000 --> 00:31:08,760
Speaker 9: Absolutely, Okay, they're hunger, they're bigger, they're they're more, but

623
00:31:08,840 --> 00:31:10,560
Speaker 9: that doesn't mean that they're bad.

624
00:31:11,480 --> 00:31:13,840
Speaker 1: But now, if you look at the data and you

625
00:31:13,880 --> 00:31:17,200
Speaker 1: look at how how many pit bulls either attack people

626
00:31:17,320 --> 00:31:20,760
Speaker 1: or even turn on their owners, it's just much higher

627
00:31:20,800 --> 00:31:22,000
Speaker 1: than any other dog breed.

628
00:31:22,040 --> 00:31:22,600
Speaker 4: It just is.

629
00:31:23,240 --> 00:31:26,080
Speaker 1: So as a percentage, you're right that they're not all bad,

630
00:31:26,120 --> 00:31:30,040
Speaker 1: but as a percentage, they're far more likely to harm someone.

631
00:31:30,120 --> 00:31:33,720
Speaker 9: They have they looked into how that pit bull was raised,

632
00:31:34,760 --> 00:31:37,960
Speaker 9: how that pit bull was treated, all those.

633
00:31:37,960 --> 00:31:39,600
Speaker 5: Thank you for the call, all the all those things

634
00:31:39,720 --> 00:31:42,120
Speaker 5: obviously factor in which is thank you for the call.

635
00:31:42,320 --> 00:31:45,680
Speaker 5: Buck's point on nature versus nurture, because there are elements

636
00:31:45,720 --> 00:31:50,000
Speaker 5: in all facets of life, of environment and how it

637
00:31:50,120 --> 00:31:50,880
Speaker 5: impacts things.

638
00:31:51,880 --> 00:31:54,240
Speaker 1: My mom my point though, again stands. Yeah, one hundred

639
00:31:54,240 --> 00:31:56,360
Speaker 1: out of one hundred French bulldogs you could raise Clay,

640
00:31:56,360 --> 00:31:59,160
Speaker 1: no one's dying. You pick up a puma from the wild,

641
00:31:59,240 --> 00:32:02,800
Speaker 1: another name for a some people are gonna get got

642
00:32:02,840 --> 00:32:05,440
Speaker 1: by the cougar. Okay, that's going to happen, not all

643
00:32:05,520 --> 00:32:08,440
Speaker 1: of them, but probably not a good idea. I've got

644
00:32:08,440 --> 00:32:12,520
Speaker 1: a swimming pool. Now I'm interested in alligators. Maybe I'd

645
00:32:12,560 --> 00:32:13,560
Speaker 1: get a nice alligator.

646
00:32:13,920 --> 00:32:16,120
Speaker 5: Probably not smart to keep an alligator in my pool,

647
00:32:16,560 --> 00:32:18,760
Speaker 5: just just tossing it out there. Most of the time

648
00:32:19,760 --> 00:32:22,040
Speaker 5: it might be fine, but at some point the alligator

649
00:32:22,040 --> 00:32:23,680
Speaker 5: gets big enough. This happens every now and then in

650
00:32:23,680 --> 00:32:25,680
Speaker 5: New York right where guys decide, hey, I'm gonna get

651
00:32:25,720 --> 00:32:27,600
Speaker 5: a baby alligator and they start trying to remember the guy

652
00:32:27,600 --> 00:32:29,600
Speaker 5: had a tiger. Didn't the guy have a tiger in

653
00:32:29,680 --> 00:32:32,120
Speaker 5: a New York apartment? And they found like that he

654
00:32:32,240 --> 00:32:34,960
Speaker 5: was raising a tiger in the apartment, which good for

655
00:32:35,040 --> 00:32:36,960
Speaker 5: him that he managed to survive.

656
00:32:37,120 --> 00:32:38,920
Speaker 1: I knew a family in New York that was from

657
00:32:39,000 --> 00:32:41,360
Speaker 1: Dallas that had they had a pet tiger for a while,

658
00:32:41,360 --> 00:32:44,360
Speaker 1: true story, and they had some way of and when

659
00:32:44,360 --> 00:32:45,880
Speaker 1: it was a little cub and they got rid of

660
00:32:45,920 --> 00:32:47,040
Speaker 1: and I was like, well, you know they gave it

661
00:32:47,080 --> 00:32:48,440
Speaker 1: to a zoo that you know, they gave it to

662
00:32:48,480 --> 00:32:50,479
Speaker 1: a sanctuary. How did you know when it was time

663
00:32:50,520 --> 00:32:52,200
Speaker 1: to get rid of it? They said, when it started

664
00:32:52,280 --> 00:32:55,200
Speaker 1: hiding on things and jumping on people's backs when they

665
00:32:55,200 --> 00:33:01,640
Speaker 1: weren't looking. Yeah, you don't want a tiger practicing the pounce,

666
00:33:02,360 --> 00:33:05,560
Speaker 1: the death pounce on you when it's six months old,

667
00:33:05,600 --> 00:33:06,560
Speaker 1: which is what was happening.

668
00:33:06,600 --> 00:33:08,560
Speaker 4: So the dog thing.

669
00:33:08,440 --> 00:33:11,520
Speaker 5: Though, Yeah, in fact, there are more tigers I believe

670
00:33:11,640 --> 00:33:15,440
Speaker 5: is true in Texas than in the wild. Have you

671
00:33:15,480 --> 00:33:18,280
Speaker 5: heard that stat before? Yeah, there are more captive tigers

672
00:33:18,320 --> 00:33:21,640
Speaker 5: in the state of Texas alone than live in the wild.

673
00:33:21,760 --> 00:33:22,040
Speaker 3: Right now.

674
00:33:22,120 --> 00:33:24,360
Speaker 5: By the way, my mom said it took three different

675
00:33:24,440 --> 00:33:29,000
Speaker 5: surgeries on my face after the German shepherd got me

676
00:33:29,000 --> 00:33:31,920
Speaker 5: when I was six. And some breaking news out there, buck,

677
00:33:32,800 --> 00:33:34,719
Speaker 5: We'll get to it in a sec. But Cash Betel

678
00:33:34,800 --> 00:33:39,240
Speaker 5: says they have found an ied thankfully not did not

679
00:33:39,400 --> 00:33:44,480
Speaker 5: go off in at McDill Air Force Base. Brother and

680
00:33:44,640 --> 00:33:50,479
Speaker 5: sister indicted yet another Iran inspired he says, attempted terror attack.

681
00:33:50,840 --> 00:33:53,320
Speaker 5: Just hy, that was just a tweet from Cash Betel.

682
00:33:53,840 --> 00:33:54,960
Speaker 4: Breaking news there, Okay.

683
00:33:55,000 --> 00:33:56,920
Speaker 1: Look, when a pregnant woman is in crisis and looking

684
00:33:56,920 --> 00:33:58,840
Speaker 1: for answers, a lot of friends and family will use

685
00:33:58,880 --> 00:34:02,400
Speaker 1: the word abortion. It's the convenient answer for an unborn,

686
00:34:02,480 --> 00:34:05,760
Speaker 1: unplanned pregnancy for so many people who listen to the

687
00:34:05,800 --> 00:34:08,560
Speaker 1: culture and don't think about that voice of God in

688
00:34:08,600 --> 00:34:12,160
Speaker 1: their ear that says that's a baby, that's a child.

689
00:34:12,239 --> 00:34:15,160
Speaker 1: Give that child, Give your child life. This is where

690
00:34:15,200 --> 00:34:19,719
Speaker 1: preborn network clinics are so incredibly important because at a

691
00:34:19,719 --> 00:34:22,239
Speaker 1: preborn clinic, when mom wants a mom to be walks in,

692
00:34:22,680 --> 00:34:26,560
Speaker 1: she receives compassion without pressure. She receives clarity about the

693
00:34:26,600 --> 00:34:29,040
Speaker 1: life growing inside her and the opportunity to meet her

694
00:34:29,120 --> 00:34:32,160
Speaker 1: unborn child through an ultrasound. More than eighty percent of

695
00:34:32,200 --> 00:34:33,600
Speaker 1: the time, when a mother sees her baby on a

696
00:34:33,600 --> 00:34:37,600
Speaker 1: preborn ultrasound, she chooses life. So please, here's my ask

697
00:34:37,719 --> 00:34:40,920
Speaker 1: for you. Pause your busy day for a moment and

698
00:34:41,040 --> 00:34:43,160
Speaker 1: say yes to a gift of just twenty eight dollars

699
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Speaker 1: that would be the cost of an ultrasound. Twenty eight

700
00:34:45,280 --> 00:34:48,840
Speaker 1: dollars you could save a tiny life today. One hundred

701
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Speaker 1: and forty dollars would help five mothers in this situation

702
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Speaker 1: and could help bring five babies into the world. To donate,

703
00:34:55,840 --> 00:34:57,839
Speaker 1: use your cell phone dial pound two fifty and say

704
00:34:57,880 --> 00:35:01,000
Speaker 1: the keyword baby. That's pound two five zero say baby,

705
00:35:01,360 --> 00:35:04,479
Speaker 1: or visit preborn dot com slash buck. Preborn dot com

706
00:35:04,480 --> 00:35:07,360
Speaker 1: slash b uck sponsored by Preborn.

707
00:35:07,480 --> 00:35:08,600
Speaker 6: You ain't imagining it.

708
00:35:09,640 --> 00:35:11,640
Speaker 4: The world has gone insane.

709
00:35:11,840 --> 00:35:15,839
Speaker 6: We claim your Sanity with Clay and find them on

710
00:35:15,880 --> 00:35:19,680
Speaker 6: the free iHeartRadio app or wherever you get your podcasts.

711
00:35:20,000 --> 00:35:23,440
Speaker 5: Welcome back in Clay Travis buck Sexton Show. Maureen Callahan

712
00:35:23,520 --> 00:35:25,960
Speaker 5: scheduled to join us top of the next hour. We'll

713
00:35:25,960 --> 00:35:30,280
Speaker 5: get to a bunch of your calls as well, and

714
00:35:30,320 --> 00:35:34,920
Speaker 5: we will dive into all of these different comments, variety

715
00:35:34,960 --> 00:35:41,200
Speaker 5: of different perspectives. One positive story that came out earlier

716
00:35:41,239 --> 00:35:46,799
Speaker 5: today Buck, the Olympics has decided that men pretending to

717
00:35:46,880 --> 00:35:50,400
Speaker 5: be women are not allowed to compete any longer in

718
00:35:50,520 --> 00:35:54,440
Speaker 5: any Olympic event. And that sounds ridiculous that the Olympics

719
00:35:54,480 --> 00:35:56,640
Speaker 5: had to come out and say it. I don't think

720
00:35:56,680 --> 00:35:59,000
Speaker 5: they would have done it if President Trump had not

721
00:35:59,120 --> 00:36:01,799
Speaker 5: been elected, and if the twenty twenty eight Olympics were

722
00:36:01,800 --> 00:36:06,279
Speaker 5: not going to be taking place in Los Angeles. What

723
00:36:06,320 --> 00:36:08,520
Speaker 5: does it mean? You can go read it. I shared

724
00:36:08,560 --> 00:36:12,239
Speaker 5: it on Twitter the details, But basically they are going

725
00:36:12,320 --> 00:36:14,280
Speaker 5: to do I think they can do a cheek swab

726
00:36:14,600 --> 00:36:17,279
Speaker 5: if people claim that they are First of all, a

727
00:36:17,320 --> 00:36:20,000
Speaker 5: lot of times are very easy. Nobody's claiming to be

728
00:36:20,080 --> 00:36:23,759
Speaker 5: male that isn't actually male and managing to qualify for

729
00:36:23,800 --> 00:36:26,400
Speaker 5: the Olympics. But if a man is pretending that he

730
00:36:26,520 --> 00:36:28,600
Speaker 5: is a woman, and if there is a doubt about

731
00:36:28,640 --> 00:36:32,680
Speaker 5: his sexual background gender wise, then all you have to

732
00:36:32,719 --> 00:36:37,000
Speaker 5: do sweep, just a little cheek, swab and boom, you

733
00:36:37,040 --> 00:36:39,560
Speaker 5: can tell what the DNA is and the Olympics is

734
00:36:39,600 --> 00:36:42,880
Speaker 5: saying they will test as necessary to keep men out

735
00:36:42,920 --> 00:36:45,560
Speaker 5: of women's sports. It's wild that this is where we are,

736
00:36:46,120 --> 00:36:48,840
Speaker 5: but that is a positive sign. We come back Final

737
00:36:48,880 --> 00:36:49,359
Speaker 5: hour next