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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George

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Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty.

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Speaker 2: Arms Strong and Getty, and now he Armstrong and Yetty.

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Speaker 3: The Utah County Attorney says, Charlie Kirk's alleged assassin used

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Speaker 3: his grandfather's rifle to kill Kirk and afterwards praised that gun.

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Speaker 3: Just one of the deeply disturbing details authorities revealed this afternoon.

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Speaker 2: A short while ago, the twenty two.

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Speaker 3: Year old suspect appeared remotely from the Utah County jail

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Speaker 3: for his first court appearance since the assassination of Kirk.

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Speaker 3: Robinson wore a suicide prevention smock and did not show

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Speaker 3: any emotion as the charges were read. He did clearly

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Speaker 3: speak his name. The Utah County Attorney says, the alleged

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Speaker 3: assassin confessed to his family and his lover. Seven charges

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Speaker 3: against Robinson were announced, including aggravated murder. Prosecutors say aggravated

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Speaker 3: murder because Kirk was murdered for his political beliefs, and

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Speaker 3: because the assassination happened in front of children.

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Speaker 1: Is there more to that sentence that's sounded like that

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Speaker 1: was the beginning of a sentence anyway. I know they're

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Speaker 1: going for the they're likely to go for the death

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Speaker 1: penalty in this case. And then utah, they shoot you.

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Speaker 1: So I got no problem with that. Shoot this scumbag

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Speaker 1: after a trial then silently. It's gonna be too complicated. Well,

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Speaker 1: actually we could ask a judge about that. Larry Goodman

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Speaker 1: joins us. This is Katie's dad, who was a judge

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Speaker 1: for the Superior Court of Alameda County. For those of

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Speaker 1: you across the country who don't know, that's where Oakland is,

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Speaker 1: Alameda County for a.

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Speaker 2: Very long time. How long were you a judge? Judge, Larry, I.

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Speaker 4: Was a judge a little over thirty three years.

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Speaker 2: Thirty three years. Wow.

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Speaker 1: So you got a bachelor's degree at Stanford. What did

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Speaker 1: you get your bachelor's degree.

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Speaker 4: In political science?

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Speaker 2: Okay? And did were you planning to become a judge?

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Speaker 4: No? I with a political science degree, there's not a

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Speaker 4: lot you can do except teach political science or go

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Speaker 4: to law school. Who went to laws and.

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Speaker 1: Then you went to law school. Do you have to

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Speaker 1: go to law school to become a judge? Yes, you do.

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Speaker 1: You have to be a lawyer to be a judge.

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Speaker 1: That makes sense, yes, okay, So I just want to

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Speaker 1: get that out of the way.

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Speaker 2: So any thoughts.

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Speaker 1: First of all, just as you've been following this as

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Speaker 1: a you know, as a citizen of the country who

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Speaker 1: just happens to have a hell of a lot of

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Speaker 1: background knowledge on the way courts procedures go and whether

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Speaker 1: or not people are found guilty or not.

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Speaker 2: Is he looking pretty dead to right?

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Speaker 4: I would say so. I mean it sounds like from

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Speaker 4: the news reports and what little bit I've read that

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Speaker 4: he's pretty much confessed and they can use all those

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Speaker 4: text messages as statements against his own interests with his

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Speaker 4: roommate that he said that he did it. So yeah,

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Speaker 4: I think it's it's going to be more like a

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Speaker 4: slow plea what we used to call when the evidence

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Speaker 4: is so overwhelming of guilt that the person insists upon

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Speaker 4: having a trial. We used to call it a slow flea.

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Speaker 4: You're going to be found guilty, we all know it,

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Speaker 4: but we have to go through the process.

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Speaker 1: What will the defense attorneys even try?

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Speaker 4: Do you suppose, you know, in a case like this,

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Speaker 4: it's gonna if they the jury, they probably won't do

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Speaker 4: a lot because it will be the same jury that

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Speaker 4: tries the case that will decide the penalty, and so

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Speaker 4: they probably don't want to irritate the jury too much.

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Speaker 4: So I think though they won't be trying any tail

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Speaker 4: Mary type passes. They might write raise issues about his

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Speaker 4: mental health, is competency type of thing. But when you're

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Speaker 4: talking about the same jury deciding that your client state

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Speaker 4: is the client decides your client's guilt or innocence, you

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Speaker 4: don't want to mad at you what the time you

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Speaker 4: start the penalty drops.

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Speaker 1: Okay, So there's a chance that the lawyers are thinking,

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Speaker 1: the best thing we could do for this guy is

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Speaker 1: keep him from getting the death penalty exactly exactly.

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Speaker 2: And if he's found guilty, he's ever getting out right.

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Speaker 4: Well, I can't imagine. I mean, crazy things happen. I mean,

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Speaker 4: even in during the trial itself. You may have a

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Speaker 4: Every time you put a case in front of a jury,

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Speaker 4: there's always the danger of having a lawless juror or

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Speaker 4: a juror that has their own agenda that throws everything

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Speaker 4: off track. But I would say that he's going to

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Speaker 4: be found guilty, and if he is, he'll either get

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Speaker 4: the death penalty, your life without.

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Speaker 1: Parole, okay, before we'll get back to him, and I

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Speaker 1: got some questions about that, But have you been a

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Speaker 1: judge in cases with a scumbag that you like, you

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Speaker 1: fully believe they're guilty, but they ended up walking absolutely.

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Speaker 4: One of my big death penalty cases where the charge

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Speaker 4: was he killed both his sisters and tried to kill

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Speaker 4: his parents, and it was my OJ Simpson trial. It

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Speaker 4: lasted four months and the jury found him not guilty

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Speaker 4: of two counts of murder and two count attempted murder,

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Speaker 4: and then about two hours later they met him across

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Speaker 4: the street from.

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Speaker 1: Margarine Wow and when the foreman read out, we find

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Speaker 1: you know so and so not guilty.

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Speaker 2: Were you just like.

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Speaker 4: What well I was? And I used to get the

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Speaker 4: verdicts before they were read, and I wanted to make

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Speaker 4: it filled out properly. And the jury came back after

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Speaker 4: a four month trial, they came back with a verdict

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Speaker 4: in less than two and a half hours. And the

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Speaker 4: defense was so sure that there was going to be

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Speaker 4: a guilty verdict that they soon as we found out

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Speaker 4: there was a verdict, they asked if I would put

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Speaker 4: their client on suicide watch before we started the penalty trial.

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Speaker 4: And that wasn't necessary because the jury found them not guilty.

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Speaker 1: So where does that leave you after years of doing this?

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Speaker 1: A couple of different things. One, where do you rank

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Speaker 1: our justice system and compared to others in other countries

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Speaker 1: or throughout history? Are we doing it better than anybody

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Speaker 1: ever has? That's always been my belief, But maybe I'm

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Speaker 1: maybe I'm wrong about that.

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Speaker 2: And where are you on the whole?

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Speaker 1: Better to have one hundred men go free than an

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Speaker 1: innocent man found guilty?

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Speaker 4: Well, I think we do have probably the best system.

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Speaker 4: The problem with our system now has become subject to

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Speaker 4: a lot of politics. Jurors come sometimes come in with

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Speaker 4: their own agendas. I've seen judges that get appointed to

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Speaker 4: the bench that have their own agendas and do things

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Speaker 4: that probably they shouldn't do if they were uploading their

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Speaker 4: roaths and not being partially in part and trying to

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Speaker 4: be impartial. And I think it's better to have a

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Speaker 4: guilty person go free than have an innocent person be

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Speaker 4: executed or spend thirty years in prison. The consequences are

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Speaker 4: It's shocking when you know somebody is guilty like I

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Speaker 4: did in this case and they walked out, But you

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Speaker 4: have to do I had to actually make a call.

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Speaker 4: In that case, it probably led to him being found

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Speaker 4: not guilty because it was a crucial piece of evidence

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Speaker 4: that the police messed up, and I spent three days

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Speaker 4: trying to find out a way to let it in

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Speaker 4: so the jury could hear it, and there just was

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Speaker 4: no legal way to do that. So I had to

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Speaker 4: make the ruling in favor of the defense, and I

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Speaker 4: think that played a big part. I still live with

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Speaker 4: that one.

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Speaker 1: Well, A big picture though, the way we're supposed to

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Speaker 1: look at it is that forces cops to just be better, right.

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Speaker 4: Yeah, I mean, it wasn't just the cops fault. It

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Speaker 4: was just the circumstances of a key witness that was

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Speaker 4: going to testify. Matter of fact, it was one of

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Speaker 4: the victims who eventually died. But she targeted her brother

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Speaker 4: and said he did it, and I saw his face

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Speaker 4: and the shotgun blast, And this was after she'd been

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Speaker 4: in the hospital for two months, and the day before

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Speaker 4: she was supposed to testify, she threw an air embolism

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Speaker 4: and died. And the state miss that you made were

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Speaker 4: not admissible because they weren't excited utterances or a statements

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Speaker 4: made in anticipation of death. So it was hearsay and

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Speaker 4: what isn't admitted.

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Speaker 1: So back to Utah scumbag, there's going to be a

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Speaker 1: tremendous amount of attention paid to this trial, obviously every

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Speaker 1: aspect of it. This story is now what going on

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Speaker 1: a week old and still leads everywhere all the time,

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Speaker 1: So it's had, you know, it's really gotten a lot

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Speaker 1: of people's attention. I don't know if Utah has any

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Speaker 1: specific rules around cameras in the courtroom or if it's

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Speaker 1: a case by case circumstance, but are you what's your

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Speaker 1: opinion of cameras in the courtroom. It seemed while I'm

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Speaker 1: as interested in anybody as watching these sorts of things,

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Speaker 1: and obviously transparency is a good thing for a justice system,

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Speaker 1: I just feel like it distorts things so much.

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Speaker 2: I'm mostly against it.

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Speaker 4: Well, I tried a lot of high publicity cases, excuse me,

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Speaker 4: and I never let cameras in the courtroom.

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Speaker 2: That would have been your decision.

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Speaker 4: Yeah, when the cameras are in ye, generally it's up

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Speaker 4: to the judge to make the decision. And when cameras

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Speaker 4: are in the courtroom, just try as hard as they may.

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Speaker 4: Lawyers play to the cameras. They they get a little

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Speaker 4: more outrageous, they get a little more flamboyant, a little

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Speaker 4: more aggressive. Sometimes, Uh makes the jury feel uncomfortable because

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Speaker 4: they don't want to have a camera person slip up

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Speaker 4: and show their face. It changes the whole dynamics of

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Speaker 4: the court room. So I never let them in.

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Speaker 1: That's really interesting. Uh, you had friends. I assume judges

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Speaker 1: that did the would would allow cameras in though. What

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Speaker 1: was their argument? Transparency?

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Speaker 4: Yeah, transparency, I mean, and sometimes the judges will play

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Speaker 4: to the camera.

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Speaker 2: Ah, right, you become you can become famous.

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Speaker 4: Think of Lantido. Yeah, so if there's a camera there

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Speaker 4: and and you're feeling all judicial and everything, then you

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Speaker 4: act a little differently if the camera pans on the bench.

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Speaker 4: So there's just not a good I get the transparency thing,

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Speaker 4: but there's really not a good upside to having that

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Speaker 4: kind of transparency. If people want to see the trialy

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Speaker 4: come down and sit in the audience.

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Speaker 1: Anything before we let you go, Anything surprised you over

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Speaker 1: the last several days since they got him, arrested him,

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Speaker 1: you know, he showed up in the courtroom first time.

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Speaker 1: Anything we should be on the watch out for.

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Speaker 4: No, it's interesting, Utah has a very strict death penalty.

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Speaker 4: I was doing a little research on it, and the

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Speaker 4: aggravation factor is that he exposed others to the risk

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Speaker 4: of death or injury when he killed Charlie Kirk, and

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Speaker 4: that's what they're going to hang the whole aggravating circumstance

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Speaker 4: on him to try to get the death penalty. In California,

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Speaker 4: there was a lot wider area of aggravation circumstances that

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Speaker 4: you can use, but this is they have to prove

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Speaker 4: beyond a reasonable doubt that he put other people's lives

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Speaker 4: at risk and proved beyond a reasonable doubt that the

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Speaker 4: aggravating circumstances outweighed gating and that the death penalty is

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Speaker 4: justified and appropriate. And that's a pretty good standard. So

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Speaker 4: it'd be interesting to see if it plays out.

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Speaker 1: Yeah, I got another question before we let you go.

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Speaker 1: All these years of watching people come before you, the

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Speaker 1: ones that are guilty, how often are the idiots and

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Speaker 1: how often are they and how often are they too

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Speaker 1: smart for their own good? I think that's what this

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Speaker 1: kid's deal is. He's too smart for his own good.

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Speaker 1: He thinks he, you know, can fix the world and

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Speaker 1: get away with it and all that.

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Speaker 4: Oh, I had my share of of well, i'd say

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Speaker 4: most of.

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Speaker 2: Them idiots, most of our idiots, most.

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Speaker 4: Of the idiots. But I had I had a couple

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Speaker 4: of high publicity cases where the guy who was just

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Speaker 4: thought he was smarter than everybody else in the courtroom, right,

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Speaker 4: and it turned out.

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Speaker 1: But yeah, yeah, that's that's gotta be something when you

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Speaker 1: when you're looking at an idiot who committed a crime.

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Speaker 1: You know, let's not talk about really hurting somebody, because

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Speaker 1: there's no excusing that. Regardless of your your intelligence, you know,

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Speaker 1: you try to pull off a robin, a bank or whatever.

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Speaker 1: You must look at some of these people and think, God,

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Speaker 1: dang it, you had no shot in life. You're a moron.

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Speaker 4: Well yeah, I mean most of them are like that,

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Speaker 4: particularly in Oakland. I mean that's that's just kind of

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Speaker 4: a way of life. I would I would have a

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Speaker 4: third category, and some of them are just pure evil.

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Speaker 2: Ah, that's a good one artist guy.

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Speaker 4: In the room. You can have the idiot and you've

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Speaker 4: got the ones that are just pure evil.

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Speaker 1: Yeah, And that that might be what this this shooter

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Speaker 1: in Utah is also, he might just be evil.

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Speaker 4: We talked about it before the shark eyes, you know.

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Speaker 4: And if you look at his booking photo, he's got

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Speaker 4: those shark eyes again.

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Speaker 2: Wow.

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Speaker 1: Yeah, that is something you've talked to us about before. Hey, Judge,

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Speaker 1: Larry Larry Goodman, thanks for coming on the air today.

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Speaker 2: Appreciate it.

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Speaker 4: Sure, Jack, thanks for having me.

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Speaker 1: Yeah, if you if you didn't hear us talking about

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Speaker 1: that before. There are some people you look at, the

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Speaker 1: judge said, and cops will tell you this too. You

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Speaker 1: did you look at them or they look at you,

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Speaker 1: and you can just see there's there's no soul in

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Speaker 1: there for whatever reason, you know, whatever's gone wrong. You

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Speaker 1: can make your life a lot easier if you've got

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Speaker 1: a trust and or will. You know, something unexpected happens

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Speaker 1: and then your family's fighting over the money and all

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Speaker 1: this sort of stuff, and even if they don't end

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Speaker 1: up fighting for it, often the state gets involved and

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Speaker 1: makes all kinds of decisions you would really hate and

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Speaker 1: costs lots of money. You can avoid that with trust

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Speaker 1: can manage your trust or will online with their easy

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Speaker 1: laws and all that have all your important documents in

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Speaker 1: one place. How great would that be? With bank level encryption.

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Speaker 1: They've got all kinds of customer support, customers support their chat,

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Speaker 1: planned documents by visiting Trust and Will dot com slash Armstrong.

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Speaker 1: That's Trustinwill dot com slash Armstrong. Death penalty for this

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Speaker 1: idiot almost certainly, I think. And he's gonna be found

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Speaker 1: guilty and he's gonna get shot because in Utah, unlike California,

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Speaker 1: the death penalty means you actually die. Is he going

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Speaker 1: to be quite the drama to fall follow over the

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Speaker 1: next months and years A lot more on the waist

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Speaker 1: to hear Armstrong Andngetti.

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Speaker 5: At one hundred and thirty thousand railroad crossings nationwide, a

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Speaker 5: constant fear for train operators that a car or truck

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Speaker 5: won't stop in time. In Texas, Itala for goalie was

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Speaker 5: sure his Tesla Wise full self driving mode would stopped

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Speaker 5: his car before the crossing arms, but he says it didn't.

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Speaker 2: It just seemed like I didn't see it at all.

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Speaker 5: And other Tesla drivers have similar complaints, drivers reporting Tesla's

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Speaker 5: full self driving software failed to recognize rail crossing. Since

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Speaker 5: twenty twenty three, Tesla It's Self warns drivers not to

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Speaker 5: rely on the auto driving software.

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Speaker 6: Yeah.

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Speaker 2: I don't know what to make of this yet.

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Speaker 1: I have a Tesla with the latest self driving software

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Speaker 1: in it and cameras and sensors and all the stuff

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Speaker 1: that and everything like that, and it's way way better

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Speaker 1: than it was a couple of years ago. It's pretty

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Speaker 1: dang good. In fact, I the other day, we boys

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Speaker 1: and I were coming home from a restaurant. I said,

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Speaker 1: let's see how it does, and I just pressed home

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Speaker 1: and had it drive me all the way to the driveway. Perfect,

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Speaker 1: absolutely perfect, as good as I would drive her better

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Speaker 1: the whole way. But everyone's while it does screw up.

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Speaker 1: I don't know if we'll ever have completely self driving

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Speaker 1: cars all over the country. Now you have waymos in cities,

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Speaker 1: but they do a different thing where they map a

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Speaker 1: small area I mean they've got the every tiny bit

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Speaker 1: of San Francisco, for instance, mapped, and that's in the

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Speaker 1: cars computer. So you would have the railroad crossing in there,

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Speaker 1: you know, a Testlas coming along, and it would just would.

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Speaker 2: Have to sense this. It doesn't know it's there.

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Speaker 1: WEYMO knows where every crosswalk, railroad crossing, everything is in

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Speaker 1: the whole unless they come up with enough technology or

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Speaker 1: or or map the whole country every road and stop.

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Speaker 7: I wonder why Tesla can't do that, I mean why

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Speaker 7: does I mean, it's it's simple as enough software update.

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Speaker 2: Why can't they do something?

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Speaker 1: Because because WEIMO for years sent cars around San Francisco,

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Speaker 1: for instance, with cameras mapping every curb, crosswater, I mean

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Speaker 1: just every tiny detail, and it's so it's not sensing

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Speaker 1: these things. It's in the computer already. It would take

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Speaker 1: a lot to map the whole country because you know,

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Speaker 1: when somebody buys a car where they're going.

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Speaker 2: To be driving. Well, let's go elon space man. But

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Speaker 2: I don't know.

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Speaker 1: Elon the other day said that he thinks Tesla is

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Speaker 1: going to be completely self driving in twenty six you

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Speaker 1: won't have to pay attention at all. I don't think

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Speaker 1: that's gonna happen, And I just don't. I just don't

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Speaker 1: think we're there yet. Oh there's an interesting study out today,

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Speaker 1: though I'll have to get into it later because it's

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Speaker 1: it's kind of in the weeds. But so there's a

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Speaker 1: gap in life expectancy between the United States and other

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Speaker 1: countries were a little behind. Most of it could be

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Speaker 1: made up if we all started writing in waymos. I mean,

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Speaker 1: if you had the safety record of a waymo oh

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Speaker 1: because of the car crash car crashes, you eliminate the

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Speaker 1: thirty some thousand deaths from automobile accidents every year, and

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Speaker 1: our our life expectancy gets right with everybody Else's.

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Speaker 2: Interesting, I know. So I don't know.

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Speaker 1: I'm just afraid we're going to be forced into them.

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Speaker 1: And I don't want to be forced into automated cars.

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Speaker 7: But I'm yet to write in a Waymo. I want to, though,

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Speaker 7: you gotta it seems cool. I just I saw that video.

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Speaker 7: It was during I can't remember what name the riot,

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Speaker 7: you know, but A Waymo got stuck in one of

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Speaker 7: those and like got the cut the car surrounded and yeah,

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Speaker 7: you know, so that that scares me a little bit.

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Speaker 1: But yeah, well if you're not so, I'm used to

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Speaker 1: a self driving car, so it's not weird. But if

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Speaker 1: you've never done it before, getting in the back seat

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Speaker 1: of a Weymo with no driver and having it drive

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Speaker 1: off would.

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Speaker 2: Feel pretty weird. Yeah.

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Speaker 1: Yeah, I mean you're sitting in the back seat and

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Speaker 1: you're looking at the steering wheel and it's turning and

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Speaker 1: it's doing its thing. I guess they're eliminating the steerwheel everything.

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Speaker 1: They're just gonna have benches in the front and back

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Speaker 1: away mods and so it's just like a little train

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Speaker 1: car practically, or something that just shows up and you

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Speaker 1: get in Armstrong and Getty.

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Speaker 4: But do let Getty get a great stand?

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Speaker 2: I guess who knows?

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Speaker 4: You didn't ever know what du let?

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Speaker 2: But who tells you?

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Speaker 8: Job ra the rake?

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Speaker 2: Chippy mc clara much mcslaa.

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Speaker 1: That's Donald Trump referring to Federal Reserve Chairman Powell.

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Speaker 2: Is too late.

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Speaker 1: Hope your lower's rates. Well, that's what's expected to happen today,

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Speaker 1: and uh, we'll have more on that coming up. A

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Speaker 1: little bit later. Trump headed over to England, where I'm

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Speaker 1: watching live on TV right now. You got people in

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Speaker 1: funny outfits marching around playing bagpipes. Trump and his model

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Speaker 1: wife and a fancy hat. Sit there and watch. We'd

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Speaker 1: like to welcome to the arm Showing and Getty Show.

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Speaker 1: Lna heat Chen to talk a little bit of politics.

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Speaker 1: Lni is the David and Die and Stephie Fellow in

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Speaker 1: American Policy Studies at the Hoover Institution, the Director of

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Speaker 1: Domestic Policy Studies at Stanford University, and a super smart

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Speaker 1: guy about politics.

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Speaker 2: How are you, Lonnie?

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Speaker 8: I am doing well.

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Speaker 4: Thanks check.

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Speaker 1: How how are you feeling in terms of optimism or

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Speaker 1: pessimism for the country after the last week?

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Speaker 2: Oh boy, well, I'm look.

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Speaker 8: I think there are always reasons to be optimistic about America,

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Speaker 8: but we're in a really challenging political moment right now,

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Speaker 8: and we're in a.

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Speaker 2: Very challenging time.

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Speaker 8: I think as we look at how people are reacting

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Speaker 8: and responding to politics, and obviously the tragic assassination of

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Speaker 8: Charlie Kirk, which I know, you know folks have talked

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Speaker 8: about a lot. But what I continue to reflect is

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Speaker 8: the way in which this kind of violence impacts people

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Speaker 8: who you know, aren't even elected officials, you know, just

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Speaker 8: people who are speaking up and expressing their points of view.

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Speaker 1: I noticed myself when I've been pulling into the parking lots,

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Speaker 1: like is that always there?

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Speaker 6: I mean, yeah, And you know, people shouldn't have to

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Speaker 6: feel and think that way in a place like America,

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Speaker 6: where I think we've always valued our ability to disagree

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Speaker 6: civilly but vociferously, right, And.

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Speaker 8: I don't know, so I'm jack. I'm a little concerned

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Speaker 8: about where we are. But obviously, you know, there are

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Speaker 8: a lot of bright spots. I mean, if you look

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Speaker 8: at just I think a lot of people have been

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Speaker 8: truly compassionate in the wake of what happened. I think

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Speaker 8: you've seen a lot of people who have decided that

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Speaker 8: they want to be more involved in our political system

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Speaker 8: and not less. And I think that's all good. But

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Speaker 8: you know, I do worry a little bit about how

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Speaker 8: various things are making us more and more divided, you know,

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Speaker 8: whether it's social media or you know, the other thing

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Speaker 8: I look at. I mean not to tie a current

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Speaker 8: event to all of this, but if you look at

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Speaker 8: redistricting and all the battles over redistricting that are happened,

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Speaker 8: what redistricting the way that politicians want to change the

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Speaker 8: system here in California, and elsewhere by the way, Texas

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Speaker 8: and other places too, is to draw lines so that

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Speaker 8: we are living next to more people and voting next

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Speaker 8: to more people who we agree with rather than who

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Speaker 8: we disagree with. And I think what that does is

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Speaker 8: it creates a tendency for us to only be in

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Speaker 8: an echo or we're hearing things we agree with, never

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Speaker 8: getting actually.

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Speaker 4: Had bers and people.

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Speaker 8: I have a civil distate about predisagree about.

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Speaker 1: Hey, Lani, unfortunately we're having a problem with our connection.

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Speaker 1: Can we drop here real quick and then let you

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Speaker 1: guys do something see if you can get that fix.

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Speaker 1: Maybe hang up on him and call him back in

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Speaker 1: or whatever, because I have a couple of questions. Lani

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Speaker 1: is actually one of the smartest people about politics we've

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Speaker 1: ever talked to, certainly about California politics.

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Speaker 2: And we want to talk about the.

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Speaker 1: Redistricting measure that Gavin Newsom was trying to get going

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Speaker 1: in November, which is almost certainly to fail. I was

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Speaker 1: going to make from an optimistic standpoint. I mean, I

441
00:22:02,040 --> 00:22:07,760
Speaker 1: thought that all of those all of those football stadiums

442
00:22:07,760 --> 00:22:11,320
Speaker 1: that had a moment of silence, I mean that was

443
00:22:11,359 --> 00:22:15,280
Speaker 1: surprised me. I didn't think that that would happen about

444
00:22:15,320 --> 00:22:18,959
Speaker 1: a divisive political figure getting gunned down. I mean, so

445
00:22:19,119 --> 00:22:23,840
Speaker 1: there was a lot of that that made me somewhat hopeful.

446
00:22:23,880 --> 00:22:26,000
Speaker 1: But then, as Joe pointed out a little bit earlier

447
00:22:26,040 --> 00:22:29,680
Speaker 1: in the show, yeah, there's a lot of videos going

448
00:22:29,720 --> 00:22:33,600
Speaker 1: around of people at gatherings cheering the death of Charlie Kirk.

449
00:22:33,680 --> 00:22:36,840
Speaker 1: So that's the disheartening part. Anyway, we got Loni Chen

450
00:22:36,960 --> 00:22:38,080
Speaker 1: back the point you were making.

451
00:22:38,119 --> 00:22:42,160
Speaker 8: Lonnie, Oh yeah, sorry about that. I mean, sometimes technology

452
00:22:42,160 --> 00:22:45,080
Speaker 8: fails us. What I was saying was that, you know,

453
00:22:45,480 --> 00:22:47,600
Speaker 8: when you look at the redistricting and measurers that are

454
00:22:47,640 --> 00:22:51,200
Speaker 8: out there, whether it's California particular or Texas, what they

455
00:22:51,240 --> 00:22:54,440
Speaker 8: do is that they draw these district lines to put

456
00:22:54,520 --> 00:22:58,639
Speaker 8: more people who think alike together, as opposed to putting

457
00:22:58,720 --> 00:23:01,239
Speaker 8: us in conversation and to people with whom, you know,

458
00:23:01,280 --> 00:23:04,040
Speaker 8: maybe we have some political disagreements. I actually think it's

459
00:23:04,080 --> 00:23:07,879
Speaker 8: good for us to have opportunities to interact with people

460
00:23:07,920 --> 00:23:09,960
Speaker 8: with whom we disagree, and I think we need more

461
00:23:10,000 --> 00:23:11,879
Speaker 8: of that in our society, not less so.

462
00:23:12,560 --> 00:23:15,399
Speaker 1: Texas decides to redistrict in the in the middle of

463
00:23:15,400 --> 00:23:19,119
Speaker 1: the decade, and it's their state allows them to do

464
00:23:19,160 --> 00:23:23,480
Speaker 1: that legally, it's not unheard of, it's not common. The

465
00:23:23,600 --> 00:23:29,520
Speaker 1: media studiously avoided mentioning to viewers who don't already know

466
00:23:29,640 --> 00:23:33,399
Speaker 1: that lots and lots of states have jerrymandered throughout our

467
00:23:33,440 --> 00:23:35,600
Speaker 1: country's history. And a lot of blue states are already

468
00:23:35,640 --> 00:23:39,280
Speaker 1: jerrymandered to death, including Illinois where they all ran to anyway,

469
00:23:39,280 --> 00:23:41,720
Speaker 1: So that's an old story. So now California is going

470
00:23:41,800 --> 00:23:43,480
Speaker 1: to try to do it, or at least put it

471
00:23:43,520 --> 00:23:45,960
Speaker 1: on the ballot for November fourth and change the rules

472
00:23:45,960 --> 00:23:48,639
Speaker 1: here in California so that we could redistrict. Also, the

473
00:23:48,680 --> 00:23:50,960
Speaker 1: polling shows that it's going to go down in flames.

474
00:23:51,520 --> 00:23:53,040
Speaker 1: Are you staying you think that's true?

475
00:23:55,119 --> 00:23:57,280
Speaker 8: Well, I'm I think it's going to be close.

476
00:23:57,359 --> 00:23:59,560
Speaker 2: Actually, oh really, okay, you know more about it than idea.

477
00:23:59,640 --> 00:24:03,760
Speaker 8: Well, well, because I think the challenge is that anytime,

478
00:24:04,119 --> 00:24:07,040
Speaker 8: what you've seen with what Newsome and his allies have

479
00:24:07,119 --> 00:24:10,359
Speaker 8: done on this initiative is they have painted it as

480
00:24:10,520 --> 00:24:12,919
Speaker 8: not the issues that you've framed it as, which are

481
00:24:12,960 --> 00:24:15,919
Speaker 8: the right issues. They framed it as do you like

482
00:24:16,040 --> 00:24:20,040
Speaker 8: Donald Trump or not? And this will be the gosh,

483
00:24:20,160 --> 00:24:22,199
Speaker 8: let's think about this. Now, there's probably the fourth or

484
00:24:22,240 --> 00:24:24,919
Speaker 8: fifth election cycle in a row where they're going to

485
00:24:24,960 --> 00:24:29,320
Speaker 8: run this playbook, and today they've been pretty successful with

486
00:24:29,359 --> 00:24:32,800
Speaker 8: this point, and so I think that the worry for

487
00:24:32,880 --> 00:24:36,920
Speaker 8: those of us who oppose this proposition and who don't

488
00:24:36,920 --> 00:24:39,639
Speaker 8: believe it's the right course for California. I think the

489
00:24:39,720 --> 00:24:42,640
Speaker 8: concern is that voters are not going to be choosing

490
00:24:42,680 --> 00:24:43,480
Speaker 8: whether they like.

491
00:24:43,960 --> 00:24:47,040
Speaker 2: Of course, you're right, You are so right.

492
00:24:47,359 --> 00:24:49,000
Speaker 8: It's going to be about do you like Trump or not?

493
00:24:49,119 --> 00:24:49,199
Speaker 6: Ye?

494
00:24:49,320 --> 00:24:52,920
Speaker 8: Right, And I think in California, you know, and some

495
00:24:53,359 --> 00:24:55,240
Speaker 8: of your listeners might not lie hearing this, but the

496
00:24:55,280 --> 00:24:57,560
Speaker 8: reality is that Donald Trump is not the most popular

497
00:24:57,600 --> 00:25:01,560
Speaker 8: guy in California, and so I think that the dynamic

498
00:25:01,640 --> 00:25:04,879
Speaker 8: they're setting up here with Prop fifty is a dynamic

499
00:25:05,000 --> 00:25:09,520
Speaker 8: that could end up moving in their favor. Now, there's

500
00:25:09,560 --> 00:25:11,840
Speaker 8: a lot more information that's got to be distributed over

501
00:25:11,880 --> 00:25:14,280
Speaker 8: the next couple of weeks, and we've got a little

502
00:25:14,280 --> 00:25:16,520
Speaker 8: over a month until election day, So I have some

503
00:25:17,119 --> 00:25:20,240
Speaker 8: measure of hope that people will see through what this is.

504
00:25:20,280 --> 00:25:22,000
Speaker 8: But I don't know, Jack, I think it's gonna be

505
00:25:22,000 --> 00:25:22,480
Speaker 8: pretty close.

506
00:25:22,640 --> 00:25:24,480
Speaker 2: You're absolutely right. I can't believe.

507
00:25:24,520 --> 00:25:27,080
Speaker 1: Silly me, I thought it would be about the issue itself,

508
00:25:27,160 --> 00:25:30,919
Speaker 1: but people wore masks or didn't wear masks because it

509
00:25:31,240 --> 00:25:33,919
Speaker 1: demonstrated are you for Trump or not not? Because of

510
00:25:33,960 --> 00:25:36,960
Speaker 1: the disease. I mean, there's all kinds of examples of that.

511
00:25:37,200 --> 00:25:41,560
Speaker 1: You're four against climate change because everything you can mention

512
00:25:42,160 --> 00:25:44,240
Speaker 1: is Trump for it or not. So yeah, of course

513
00:25:44,280 --> 00:25:44,960
Speaker 1: this is going to be that.

514
00:25:46,080 --> 00:25:46,359
Speaker 2: Yeah.

515
00:25:46,800 --> 00:25:48,400
Speaker 4: And I mean it's interesting.

516
00:25:48,840 --> 00:25:53,160
Speaker 8: Arnold Schwarzenegger, who was actually the governor who originally led

517
00:25:53,280 --> 00:25:57,760
Speaker 8: California's effort to turn our redistricting away from the politicians

518
00:25:57,760 --> 00:26:01,160
Speaker 8: into independent citizens, he actually spoke up, you know, sort

519
00:26:01,200 --> 00:26:03,960
Speaker 8: of really significantly about this the other day for the

520
00:26:04,000 --> 00:26:07,199
Speaker 8: first time, and you know, even you know, he's no

521
00:26:07,280 --> 00:26:11,080
Speaker 8: great supporter of Donald Trump, but he said, listen, the

522
00:26:11,760 --> 00:26:15,600
Speaker 8: effort that Gavin Newsom and his allies are undertaking with

523
00:26:15,720 --> 00:26:19,200
Speaker 8: this proposition, that effort is really an effort to give

524
00:26:19,280 --> 00:26:23,800
Speaker 8: the power to redistrict back to politicians and away from

525
00:26:24,080 --> 00:26:26,760
Speaker 8: kind of an independent, more independent process, which we've had

526
00:26:26,760 --> 00:26:29,480
Speaker 8: in California since two thousand and eight and twenty ten

527
00:26:29,560 --> 00:26:33,159
Speaker 8: for congressional seats, we've had this process in place. And

528
00:26:33,200 --> 00:26:36,399
Speaker 8: by the way, the process we've had has drawn complaints

529
00:26:36,440 --> 00:26:38,639
Speaker 8: from both Republicans and Democrats, which is how you know

530
00:26:38,680 --> 00:26:43,400
Speaker 8: it's working. Okay, probably right, And so it was interesting

531
00:26:43,440 --> 00:26:45,720
Speaker 8: to see Schwarzenegger get involved. I think a few other

532
00:26:45,720 --> 00:26:49,240
Speaker 8: people may get involved who are not your usual suspects

533
00:26:49,400 --> 00:26:51,280
Speaker 8: on this sort of thing. So I hope that voters

534
00:26:51,320 --> 00:26:55,520
Speaker 8: are able to at least understand what the basic question is,

535
00:26:55,640 --> 00:26:59,280
Speaker 8: which is do we believe that district lines in California

536
00:26:59,520 --> 00:27:02,560
Speaker 8: should be drawn by politicians or by citizens? And that's

537
00:27:02,560 --> 00:27:03,600
Speaker 8: the fundamental questions.

538
00:27:05,000 --> 00:27:07,920
Speaker 1: So I see a lot of national pundits who aren't

539
00:27:07,920 --> 00:27:11,639
Speaker 1: from California that are really high and I mean people

540
00:27:11,640 --> 00:27:14,440
Speaker 1: that lean right, who are really high on Gavin Newsom's

541
00:27:14,520 --> 00:27:18,120
Speaker 1: chances of becoming president. I feel like being closer to him,

542
00:27:18,200 --> 00:27:19,840
Speaker 1: I'm not as high. Where are you on that?

543
00:27:21,200 --> 00:27:23,720
Speaker 8: Well, Look, I think there's two things here, Jack. First

544
00:27:23,720 --> 00:27:27,960
Speaker 8: of all, there's just an absence of strong leadership on

545
00:27:28,040 --> 00:27:31,080
Speaker 8: the Democratic side of the aisle. I'd say, people who

546
00:27:31,160 --> 00:27:35,199
Speaker 8: are who are perceived to be out there, and you know,

547
00:27:35,240 --> 00:27:37,800
Speaker 8: whether whatever you think of what Nisson's doing, he's out there.

548
00:27:37,800 --> 00:27:39,919
Speaker 8: So I think that's the first thing is just you know,

549
00:27:40,200 --> 00:27:43,960
Speaker 8: politics have whoors a vacuum, and Newsom has stepped into

550
00:27:44,000 --> 00:27:46,000
Speaker 8: that in a very real way. I think the other

551
00:27:46,240 --> 00:27:50,120
Speaker 8: reason that people sort of see him positively in particularly

552
00:27:50,119 --> 00:27:52,960
Speaker 8: given what he's been doing with this redistricting proposition, is

553
00:27:53,000 --> 00:27:55,600
Speaker 8: you got to think about the composition of the Democratic

554
00:27:55,720 --> 00:27:59,679
Speaker 8: primary electorate and it's going to on average be more

555
00:27:59,720 --> 00:28:03,480
Speaker 8: act to this, more left of center, and Newsom's politics

556
00:28:03,480 --> 00:28:05,320
Speaker 8: are a good match for that. So I think that's

557
00:28:05,359 --> 00:28:07,320
Speaker 8: probably why people feel well.

558
00:28:07,359 --> 00:28:08,720
Speaker 4: At national level.

559
00:28:08,520 --> 00:28:11,280
Speaker 1: I agree what you're doing. I could see him getting

560
00:28:11,280 --> 00:28:14,320
Speaker 1: the nomination. That wouldn't surprise me. How can you run

561
00:28:14,359 --> 00:28:17,560
Speaker 1: for president with I just feel like the homeless situation,

562
00:28:18,160 --> 00:28:20,240
Speaker 1: the people, the fact that people are leaving your state

563
00:28:20,320 --> 00:28:22,200
Speaker 1: for the first time ever, a lot of those things.

564
00:28:22,480 --> 00:28:23,399
Speaker 2: How do you overcome that?

565
00:28:25,280 --> 00:28:25,480
Speaker 4: Well?

566
00:28:25,520 --> 00:28:27,240
Speaker 8: I think that's what a campaign is for, right. I

567
00:28:27,240 --> 00:28:30,480
Speaker 8: think people need to be reminded. It's very easy. We

568
00:28:30,600 --> 00:28:34,200
Speaker 8: have in politics recency bias, and so we look at,

569
00:28:34,240 --> 00:28:37,600
Speaker 8: you know, what has someone done in the last sixteen

570
00:28:37,680 --> 00:28:40,160
Speaker 8: days or last nine minutes, right, and we and we

571
00:28:40,240 --> 00:28:44,000
Speaker 8: forget about the French laundry, We forget about all, you know,

572
00:28:44,080 --> 00:28:47,400
Speaker 8: his record, We forget about his record in San Francisco,

573
00:28:47,800 --> 00:28:51,320
Speaker 8: We forget about his extremely progressive pass which I think

574
00:28:51,360 --> 00:28:53,200
Speaker 8: is out of step with the vast majority of the

575
00:28:53,200 --> 00:28:56,120
Speaker 8: American people. So that's what a campaign is for. A

576
00:28:56,160 --> 00:29:01,640
Speaker 8: campaign is there to remind people of someone's record and

577
00:29:01,680 --> 00:29:03,840
Speaker 8: who they are. And by the way, people can say

578
00:29:04,080 --> 00:29:06,880
Speaker 8: we know that, we're comfortable with it. I don't know

579
00:29:06,920 --> 00:29:09,520
Speaker 8: that that's where they'll come out on someone like Gavin Newson.

580
00:29:09,560 --> 00:29:10,840
Speaker 4: But let's see. Let's see.

581
00:29:10,880 --> 00:29:14,680
Speaker 8: I mean, like you, Jack, I think being being in

582
00:29:14,840 --> 00:29:18,120
Speaker 8: or near California and seeing him in action up close

583
00:29:18,200 --> 00:29:20,400
Speaker 8: for the last eight years, I think we have a

584
00:29:20,440 --> 00:29:22,440
Speaker 8: point of view that might be very different from a

585
00:29:22,480 --> 00:29:24,280
Speaker 8: point of view if if it hasn't been in your

586
00:29:24,280 --> 00:29:26,120
Speaker 8: face for the last eight years.

587
00:29:27,560 --> 00:29:29,880
Speaker 1: Just curious, since you're a smart guy and you know

588
00:29:29,960 --> 00:29:31,840
Speaker 1: policy got all the thing. You spent a moment of

589
00:29:31,880 --> 00:29:33,680
Speaker 1: your life thinking about the Epstein Files.

590
00:29:35,120 --> 00:29:40,200
Speaker 8: No, no, I don't. And I find it interesting how

591
00:29:40,520 --> 00:29:44,240
Speaker 8: much carry the story has in the sense that I mean,

592
00:29:44,320 --> 00:29:47,440
Speaker 8: it just keeps coming back. It's like, you know, it's

593
00:29:47,480 --> 00:29:52,040
Speaker 8: like a bad infection coming back. Like I can't think

594
00:29:52,080 --> 00:29:55,880
Speaker 8: of a I mean, that is the sort of analogy

595
00:29:55,960 --> 00:29:58,800
Speaker 8: I think of because I just every time I hear

596
00:29:58,920 --> 00:30:02,120
Speaker 8: about the Steam Files or Epstein I just cringe because

597
00:30:02,240 --> 00:30:06,080
Speaker 8: I know there's nothing redeeming about this at all, this

598
00:30:06,280 --> 00:30:08,520
Speaker 8: discussion about about Epstein.

599
00:30:08,560 --> 00:30:10,560
Speaker 4: There is nothing redeeming about it.

600
00:30:10,560 --> 00:30:12,960
Speaker 8: It doesn't make us better as a country to have

601
00:30:13,000 --> 00:30:15,600
Speaker 8: a conversation about the Epstein files. But you know, whatever,

602
00:30:15,640 --> 00:30:17,120
Speaker 8: people are interested with what they're interested and I don't

603
00:30:17,120 --> 00:30:20,080
Speaker 8: want it to mean that, But for me personally, I

604
00:30:20,080 --> 00:30:20,920
Speaker 8: have no interest in it.

605
00:30:21,000 --> 00:30:23,480
Speaker 2: I mean, either, what is what is on your radar?

606
00:30:25,160 --> 00:30:26,960
Speaker 8: Well, I mean we've talked a little bit about the

607
00:30:26,960 --> 00:30:28,760
Speaker 8: redistricting thing. I think that's a big deal. And then

608
00:30:29,360 --> 00:30:32,080
Speaker 8: I am thinking a lot about as we go into

609
00:30:32,120 --> 00:30:35,000
Speaker 8: this fall and in the next year. You mentioned the

610
00:30:35,080 --> 00:30:37,520
Speaker 8: whole thing with the Federal Reserve and with weightcuts and

611
00:30:37,520 --> 00:30:41,160
Speaker 8: what might happen there. I do think the economy, we've

612
00:30:41,200 --> 00:30:44,480
Speaker 8: got to kind of see what's happening. Because the message

613
00:30:44,480 --> 00:30:46,320
Speaker 8: that I keep getting when I talk to you know,

614
00:30:46,360 --> 00:30:49,120
Speaker 8: every day at Californians that you know, when I'm around

615
00:30:49,360 --> 00:30:51,040
Speaker 8: and out, Yeah, I think there are a lot of

616
00:30:51,080 --> 00:30:53,800
Speaker 8: people who are who are still having a tough time

617
00:30:54,000 --> 00:30:57,800
Speaker 8: given the economy, and they're looking at prices you know,

618
00:30:57,920 --> 00:31:00,520
Speaker 8: still being probably a little higher than they like, and

619
00:31:00,600 --> 00:31:03,240
Speaker 8: you kind of wonder how the economy is going to

620
00:31:03,280 --> 00:31:05,720
Speaker 8: perform I'm optimistic about it. I think as we going

621
00:31:05,720 --> 00:31:07,600
Speaker 8: in next year, things are going to pick up. But

622
00:31:07,680 --> 00:31:10,160
Speaker 8: that is one thing that I'm concerned about. What the

623
00:31:10,240 --> 00:31:12,960
Speaker 8: collective impact of all of the different policies we've seen

624
00:31:13,000 --> 00:31:16,000
Speaker 8: in all of the division at Washington, what that will

625
00:31:16,040 --> 00:31:18,040
Speaker 8: mean going into next year. I think that's going to

626
00:31:18,040 --> 00:31:19,440
Speaker 8: be an issue worth watching as well.

627
00:31:19,920 --> 00:31:23,120
Speaker 1: He is the director of Domestic Policy Studies at Stanford

628
00:31:23,200 --> 00:31:25,200
Speaker 1: University and all around good and smart guy.

629
00:31:25,240 --> 00:31:26,640
Speaker 2: Lan he Chin. Thanks for your time.

630
00:31:26,520 --> 00:31:29,320
Speaker 8: Today, Hey, Jack, Always great to be with you. Thanks.

631
00:31:29,520 --> 00:31:32,960
Speaker 1: Yeah, It'll be interesting to see if Gavin can pull

632
00:31:33,000 --> 00:31:37,719
Speaker 1: off running away from what he has been in California

633
00:31:37,720 --> 00:31:39,719
Speaker 1: for all these years. But anyway, we'll have plenty of

634
00:31:39,760 --> 00:31:45,120
Speaker 1: we'll have plenty of time to talk about that. It's

635
00:31:45,160 --> 00:31:48,600
Speaker 1: pretty I was talking earlier about this Ukrainian chick who

636
00:31:48,680 --> 00:31:51,240
Speaker 1: keeps emailing me she doesn't exist. I mean, this is

637
00:31:51,280 --> 00:31:53,520
Speaker 1: a scam. Obviously, have to talk more about that because

638
00:31:53,560 --> 00:31:55,480
Speaker 1: it's kind of funny. But there are all kinds of

639
00:31:55,480 --> 00:31:57,320
Speaker 1: scams out there that can catch you if you click

640
00:31:57,360 --> 00:32:00,920
Speaker 1: on the wrong link or whatever. And to avoid that

641
00:32:00,960 --> 00:32:05,520
Speaker 1: problem you need webroot, we trust, webroot total protection. It's

642
00:32:05,520 --> 00:32:08,400
Speaker 1: not just anti virus, it's anti identity protection from up

643
00:32:08,440 --> 00:32:10,240
Speaker 1: to ten people. By the way you get you know,

644
00:32:10,280 --> 00:32:12,000
Speaker 1: you sign up and you get ten people covered, say

645
00:32:12,000 --> 00:32:14,560
Speaker 1: everybody in your family. Dark web monitoring, up to a

646
00:32:14,640 --> 00:32:18,040
Speaker 1: million dollars in fraud expense reimbursement to you get a

647
00:32:18,160 --> 00:32:22,360
Speaker 1: VPN cloud backup twenty four to seven US based support,

648
00:32:22,400 --> 00:32:25,640
Speaker 1: which matters to me. They have an elder fraud hotline,

649
00:32:25,640 --> 00:32:28,520
Speaker 1: which is huge for families. You get your identity stolen,

650
00:32:28,560 --> 00:32:31,600
Speaker 1: you're looking at two hundred hours probably of nightmare to

651
00:32:31,640 --> 00:32:33,480
Speaker 1: try to get that fixed. Right now, you can get

652
00:32:33,480 --> 00:32:36,400
Speaker 1: fifty percent off webroot Total Protection or Webroot Essentials at

653
00:32:36,440 --> 00:32:40,160
Speaker 1: webroot dot com slash armstrong. That's webroot dot com slash

654
00:32:40,280 --> 00:32:46,360
Speaker 1: armstrong again, fifty percent off webroot dot com slash armstrong. Yeah,

655
00:32:46,400 --> 00:32:48,160
Speaker 1: I'll have to read a little more from these emails

656
00:32:48,200 --> 00:32:52,040
Speaker 1: that the the the hot young Ukrainian woman keeps sending me.

657
00:32:52,160 --> 00:32:57,840
Speaker 1: It's not it's a botor or a group of drug

658
00:32:57,960 --> 00:33:00,760
Speaker 1: cartel members from Mexico or whatever. But the emails are

659
00:33:00,840 --> 00:33:03,000
Speaker 1: kind of funny, and I just wondered does anybody actually

660
00:33:03,040 --> 00:33:05,240
Speaker 1: fall for these things? But that and other stuff on

661
00:33:05,240 --> 00:33:12,480
Speaker 1: the way stay tuned. Wow, what is that historic castle

662
00:33:12,640 --> 00:33:15,960
Speaker 1: thing that Trump and King Charles are at? That's where

663
00:33:16,520 --> 00:33:20,360
Speaker 1: Trump is spending the night he and Milania. It's some country.

664
00:33:21,800 --> 00:33:24,840
Speaker 1: It looks kind of like Buckingham Palace, but it's out

665
00:33:24,880 --> 00:33:27,080
Speaker 1: in the country. I guess that's where one of the

666
00:33:27,080 --> 00:33:28,680
Speaker 1: many homes the royal family has.

667
00:33:29,000 --> 00:33:29,720
Speaker 2: Why they allow this?

668
00:33:29,800 --> 00:33:32,600
Speaker 1: But anyway, so Trump and King Charles are walking up

669
00:33:32,640 --> 00:33:35,480
Speaker 1: the stairs and they're headed a direction and Trump kind

670
00:33:35,520 --> 00:33:39,200
Speaker 1: of puts his hand on King Charles's back, like you know,

671
00:33:39,520 --> 00:33:41,680
Speaker 1: let's go now or this way, or like you know,

672
00:33:41,960 --> 00:33:43,800
Speaker 1: kind of like somebody who's directing you where to go.

673
00:33:44,000 --> 00:33:45,360
Speaker 1: And he started to put his hand there and then

674
00:33:45,400 --> 00:33:47,000
Speaker 1: put his hand down. I think he I think he

675
00:33:47,080 --> 00:33:51,880
Speaker 1: realized I can't be directing the king where he should

676
00:33:51,880 --> 00:33:56,000
Speaker 1: go in his own country. Probably out a good move

677
00:33:56,240 --> 00:33:58,320
Speaker 1: follow him as opposed to direct him where to go.

678
00:33:59,080 --> 00:34:02,960
Speaker 1: That was a good move. So I mentioned this a

679
00:34:02,960 --> 00:34:04,640
Speaker 1: couple of times just because I think it's hilarious, and

680
00:34:04,640 --> 00:34:07,600
Speaker 1: I I get how a lot of us fall for

681
00:34:07,680 --> 00:34:11,120
Speaker 1: various internet scams, because there's a lot of you know,

682
00:34:11,360 --> 00:34:15,319
Speaker 1: looks exactly like it's from PayPal and it says were

683
00:34:15,320 --> 00:34:17,520
Speaker 1: you overcharged, and you see you click on the link

684
00:34:17,560 --> 00:34:18,560
Speaker 1: and now it was fishing.

685
00:34:18,640 --> 00:34:19,239
Speaker 2: It wasn't real.

686
00:34:19,239 --> 00:34:21,080
Speaker 1: And I see how that happens. I fell for that

687
00:34:21,120 --> 00:34:23,279
Speaker 1: once with an eBay thing, but I understand how you

688
00:34:23,320 --> 00:34:27,239
Speaker 1: fall for these romance ones. So somebody had emailed me

689
00:34:27,280 --> 00:34:32,680
Speaker 1: the other day, Hey, I saw your picture somewhere and

690
00:34:32,880 --> 00:34:35,080
Speaker 1: there was a picture of a young woman and said, Hi,

691
00:34:35,160 --> 00:34:37,279
Speaker 1: I saw you. Her name is ted T T E

692
00:34:37,360 --> 00:34:39,839
Speaker 1: T I Z. And she said hi, I saw your

693
00:34:39,840 --> 00:34:42,520
Speaker 1: picture somewhere the other day, and I immediately fell for you,

694
00:34:42,719 --> 00:34:44,799
Speaker 1: and I wondered if we could become pen pals and

695
00:34:44,880 --> 00:34:48,359
Speaker 1: maybe more, and and I thought, wow, it's what kind

696
00:34:48,360 --> 00:34:49,960
Speaker 1: of scam is this? There was no link, no ask

697
00:34:50,000 --> 00:34:53,279
Speaker 1: for money, So I just replied, sure, why not. And

698
00:34:53,320 --> 00:34:55,920
Speaker 1: that's all I've done so far. And now she has

699
00:34:55,920 --> 00:34:57,799
Speaker 1: started sending me out these emails and I get them

700
00:34:57,840 --> 00:35:00,040
Speaker 1: almost every day, and like, for instance, I got this

701
00:35:00,080 --> 00:35:03,960
Speaker 1: one yesterday to my lovely and wonderful angel Jack. Oh

702
00:35:04,000 --> 00:35:07,640
Speaker 1: and there's a picture of her laying on a beach. Hello,

703
00:35:07,760 --> 00:35:10,800
Speaker 1: my beloved baby Jack. I am back to you, sweetie,

704
00:35:11,040 --> 00:35:13,279
Speaker 1: happy as always, because weekends are over and I can

705
00:35:13,280 --> 00:35:15,680
Speaker 1: write a letter to my precious diamond to my love

706
00:35:15,719 --> 00:35:17,520
Speaker 1: and my destiny to you, honey.

707
00:35:18,600 --> 00:35:20,400
Speaker 2: Oh boy, sounds legit.

708
00:35:20,640 --> 00:35:24,719
Speaker 1: She really cares about you, and the only interaction we've

709
00:35:24,760 --> 00:35:28,600
Speaker 1: had so far is me saying, sure, why not, jack

710
00:35:28,680 --> 00:35:31,120
Speaker 1: My sweetheart. I am a bit sad today because I

711
00:35:31,160 --> 00:35:33,520
Speaker 1: came to the internet cafe and haven't found your beautiful

712
00:35:33,560 --> 00:35:36,000
Speaker 1: letter for me. It's always such a pleasure to see

713
00:35:36,000 --> 00:35:38,000
Speaker 1: and read your beautiful letters. I have not said her

714
00:35:38,000 --> 00:35:41,200
Speaker 1: any honey, and your warm words and thoughtful feelings. It

715
00:35:41,239 --> 00:35:43,080
Speaker 1: makes me feel like we were meant to be together,

716
00:35:43,400 --> 00:35:45,880
Speaker 1: that fate or destiny has given us a chance. My

717
00:35:46,000 --> 00:35:48,720
Speaker 1: feelings for you have only grown into a giant rose

718
00:35:48,760 --> 00:35:53,480
Speaker 1: of love, true beauty, sweet smells, positive thoughts and feelings

719
00:35:53,480 --> 00:35:55,280
Speaker 1: in bright lights at the end of the tunnel.

720
00:35:56,239 --> 00:35:59,240
Speaker 7: What website did you go to for them to find

721
00:35:59,280 --> 00:36:00,960
Speaker 7: you to send you this, Jackie?

722
00:36:01,200 --> 00:36:06,480
Speaker 1: Well, I think it could be anything, really, but my

723
00:36:06,560 --> 00:36:09,239
Speaker 1: feelings for you have grown into a giant rows of love.

724
00:36:10,760 --> 00:36:13,200
Speaker 2: Okay. And she's told her parents about me.

725
00:36:13,719 --> 00:36:15,560
Speaker 1: Oh so, she was with her mom and dad over

726
00:36:15,560 --> 00:36:17,360
Speaker 1: the way getting told her told her parents all about me,

727
00:36:17,640 --> 00:36:19,719
Speaker 1: all about me, including yeah, he replied to me in

728
00:36:19,760 --> 00:36:23,160
Speaker 1: one email, Sure, why not? You have to respond to this, Well,

729
00:36:23,200 --> 00:36:24,520
Speaker 1: I I probably should.

730
00:36:24,840 --> 00:36:26,920
Speaker 2: I think I'm maybe somebody smarter that can be.

731
00:36:26,960 --> 00:36:30,520
Speaker 1: I don't think I'm doing any damage because this bot

732
00:36:30,760 --> 00:36:34,160
Speaker 1: or criminal organization has my email. As long as I

733
00:36:34,160 --> 00:36:37,200
Speaker 1: don't click on a link or send them money, I

734
00:36:37,280 --> 00:36:39,720
Speaker 1: think I can't do any more damage at this point.

735
00:36:40,800 --> 00:36:44,440
Speaker 7: I'm no professional, but that's my thought process. Hanson says,

736
00:36:44,480 --> 00:36:49,120
Speaker 7: have chat GPT right and loving response, brilliant, brilliant.

737
00:36:49,680 --> 00:36:53,040
Speaker 1: I think I should go into a whole bunch of giant,

738
00:36:53,080 --> 00:36:55,520
Speaker 1: blossoming rows of love and all that sort of stuff.

739
00:36:55,520 --> 00:36:57,960
Speaker 2: Oh please go on to chat GPT. Give him a

740
00:36:58,000 --> 00:36:58,840
Speaker 2: couple of prompts.

741
00:36:59,000 --> 00:37:01,160
Speaker 7: Get this letter going, fire it off during the show

742
00:37:01,160 --> 00:37:03,279
Speaker 7: and see how fast they get back.

743
00:37:03,440 --> 00:37:05,080
Speaker 1: One of the things about our pictures that I like

744
00:37:05,200 --> 00:37:06,960
Speaker 1: is there's a whole bunch of different pictures of attracting

745
00:37:07,000 --> 00:37:09,360
Speaker 1: guiltill women, but they're clearly not all the same person.

746
00:37:12,280 --> 00:37:13,839
Speaker 1: Have you missed the segment or an hour and get

747
00:37:13,840 --> 00:37:15,960
Speaker 1: the podcast Armstrong and Getty on demand

748
00:37:19,320 --> 00:37:20,480
Speaker 7: Armstrong and Getty