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

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

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Speaker 2: Arm Strong and Getty and he Armstrong and Yedty.

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Speaker 3: Teenagers need more sleep than their getting. But it's not

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Speaker 3: just school demands that are keeping them up. It's phones. Yes, phones,

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Speaker 3: According to a new study which shows teens are on

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Speaker 3: average scrolling and texting and who knows whatding for nearly

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Speaker 3: an hour after ten pm on school nights, and half

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Speaker 3: of teens use their phones between midnight and four am.

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Speaker 3: The solution, according to basically everyone except maybe the teens

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Speaker 3: no phones in bed.

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Speaker 4: Uh.

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Speaker 2: Yeah.

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Speaker 5: Both my teens use the phone for their alarm, which

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Speaker 5: is like the iPhone. Your spongephone is great alarm. There's

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Speaker 5: no doubt about that. But so I set up the

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Speaker 5: I got the things set up on my phone. I

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Speaker 5: suppose you can do it on Android. You can go

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Speaker 5: to amplephones where both my kids since I control their

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Speaker 5: phones all that's everything shuts off at nine thirty for

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Speaker 5: one kid and ten thirty for the other kid. Anyway,

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Speaker 5: my oldest I don't know if any parents, have you

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Speaker 5: ever heard this from your teenagers?

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Speaker 1: None of the other parents do this. Wow, So I

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Speaker 1: quite an argument.

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Speaker 2: I don't know. I don't know if that's true or not.

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Speaker 5: So any all parents doing this where you you shut

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Speaker 5: down your kid's computer, phone stuff at night, so they

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Speaker 5: don't have the option because it's I mean, it's it's

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Speaker 5: I wish I need somebody else who controls my phone

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Speaker 5: to shut it down in the middle of the night.

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Speaker 5: I don't have the self control. Last night, I was

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Speaker 5: having trouble sleeping.

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Speaker 2: I was I was on my phone in the middle

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Speaker 2: of the night, which I know is terrible for you.

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Speaker 5: But but of course teens are doing that unless they can't.

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Speaker 2: Yeah.

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Speaker 1: Yeah, speaking of technology, do we have a theme music

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Speaker 1: for our AI update? We really ought to come up

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Speaker 1: with something short and whacky, wouldn't hes a liner or something,

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Speaker 1: because we you know.

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Speaker 2: You got to brand it.

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Speaker 1: Branding is so important these days, isn't it. That's what

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Speaker 1: I'd read somewhere. But how about a little AI update

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Speaker 1: here multifaceted too. First of all, I think this is revealing.

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Speaker 1: This is an edit of Eric Schmidt, who is the

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Speaker 1: ex CEO of Google. He was given the commencement addressed

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Speaker 1: at the University of Arizona and was talking about tech stuff.

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Speaker 1: Not surprisingly, again, this is edited together, but you'll get

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Speaker 1: the idea. Number eleven.

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Speaker 6: Last December, Time magazine selected its Person of the Year

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Speaker 6: for twenty twenty five, and it was this time it

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Speaker 6: was the architects of artificial Intelligence. Interesting. It will touch

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Speaker 6: every profession, every classroom, every hospital, every laboratory, every person

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Speaker 6: and every relationship you have. I know what many of

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Speaker 6: you are feeling about that. I can hear you. There

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Speaker 6: is a fear we do not know. We do not

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Speaker 6: know the precise contours of what this transformation.

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Speaker 2: Will look like.

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Speaker 6: Choose a diversity of perspectives, including let me add let

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Speaker 6: me make this point please, and so.

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Speaker 2: Wow.

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Speaker 6: If you don't care about science, that's okay, because AI

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Speaker 6: is going to touch everything else as well. Whatever path

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Speaker 6: you choose, hey, you will become part of how work

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Speaker 6: is done. If you have a problem in the world

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Speaker 6: you want to solve, you can now assemble a team

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Speaker 6: of AI agents to help you with the parts that

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Speaker 6: you could never.

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Speaker 2: Accomplish on your own. Let me give you some advice.

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Speaker 6: First, find a way to say yes and thank you

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Speaker 6: very much and good night.

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Speaker 2: Yeah, that's what they're asking Michael. Play that again.

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Speaker 5: How I don't understand why these AI dudes at the

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Speaker 5: top of these corporations don't get that. We're not as

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Speaker 5: excited about this as you are. You're going to become

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Speaker 5: a gazillionaire ten times oh we are or already are,

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Speaker 5: and you're gonna become even richer. Everybody else is horrified

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Speaker 5: by this.

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Speaker 2: Yeah.

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Speaker 1: It's as if his speech was, after this assembly, you're

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Speaker 1: going to be beaten and have all your stuff taken

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Speaker 1: away from you.

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Speaker 2: What and when we start bulling?

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Speaker 1: So the guy from Google goes with, okay, okay, well

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Speaker 1: you better get on board because it's don't give me

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Speaker 1: that tone.

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Speaker 5: I don't have to like what you're saying. See, that's

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Speaker 5: the thing you don't get.

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Speaker 1: I don't have to like what you're telling me, right,

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Speaker 1: or pretend that I do. That everything I've known my

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Speaker 1: entire life and everything we've prepared for is gonna be

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Speaker 1: completely blown up. And you know you can't convince me

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Speaker 1: that I should be excited about that.

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Speaker 2: Learn to say yes, thank you, good night. Yeah, I know,

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Speaker 2: I know. How do they not get this?

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Speaker 1: I don't understand, even Elon, who I like more than

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Speaker 1: most of your tech people, I don't understand how you

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Speaker 1: present this and nobody will have to work in the future,

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Speaker 1: like thinking, everybody thinks oh cool, yeah, man, then how

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Speaker 1: is society going to be structured?

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Speaker 2: How do you not get that? That's a terrifying notion.

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Speaker 1: On the other hand, kids these days, whatever happened rolling

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Speaker 1: your eyes and looking at your watch.

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Speaker 2: And think it's cheese? When is this gonna be over? Yeah?

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Speaker 5: Well, at least I think I didn't go to my graduation,

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Speaker 5: but nobody was standing up there and saying, every single

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Speaker 5: major here will be useless within eighteen months.

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Speaker 1: You have wasted your time and your money. Your dreams

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Speaker 1: are already dead boom. In fact, what your parents do,

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Speaker 1: who are paying for everything in your life currently, their

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Speaker 1: jobs will be gone? Thank you and good night. And

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Speaker 1: they're only forty five. So a handful of AI related stories.

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Speaker 1: The American rebellion against AI is gaining steam. Booed commencement speakers,

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Speaker 1: block data centers, plummeting poll numbers. Fast growing industry has

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Speaker 1: a faster growing crisis. According to a team of writers

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Speaker 1: at The Wall Street Journal.

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Speaker 5: The data centers one is an interesting thing. The real

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Speaker 5: the pushback on those which is being portrayed as well.

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Speaker 5: It's going to use so much water, so much energy,

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Speaker 5: You're taking up so much space. But there's all kinds

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Speaker 5: of corporations that use that much water, space and everything

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Speaker 5: like that.

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Speaker 2: It's a fear of AI thing. I think that's driving it.

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Speaker 1: I think you're right. If you have fear and loathing,

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Speaker 1: to quote Hunter S. Thompson about something, you will look

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Speaker 1: for more reasons too, and dieted of course.

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Speaker 2: But in one poll after another in recent weeks.

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Speaker 1: Respondents have overwhelmingly voiced concerns about AI. It challenge to

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Speaker 1: claims by industry exacts that their technology would gain popularity

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Speaker 1: by improving people's lives. Consumers resent energy price jumps exacerbated

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Speaker 1: by the spread of data centers that's undeniable. Workers spear

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Speaker 1: widespread fear rather widespread job losses. Parents worry about AI

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Speaker 1: undermining education and harming children's mental health. In recent months,

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Speaker 1: the wave of anger has brought protests the way election

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Speaker 1: results and spurred to isolated acts of violence. Yeah, people

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Speaker 1: are waking up to the overwhelmingness of it, even if

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Speaker 1: they're not like acutely aware of some of the specifics.

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Speaker 1: They think, man, this is I think they just sense

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Speaker 1: that this is an overwhelming force. Well, Hey, tech giants

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Speaker 1: read the room. Again, We're not as optimistic about this

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Speaker 1: as you are.

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Speaker 2: Right, they know what's for us. Yeah, exactly, that's the

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Speaker 2: way they're talking to us.

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Speaker 1: Sure, there certainly is some egomania involved in Michael. I

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Speaker 1: also just think they're reading the room that they're.

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Speaker 5: In, where everybody's invested in getting richer and richer on

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Speaker 5: a daily basis.

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Speaker 2: Yeah. Yeah.

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Speaker 1: Dylan Pateel, CEO of AI infrastructure consulting firm, you've never

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Speaker 1: heard of it, recently predicted there would be a large

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Speaker 1: there would be large scale protests against open AI and

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Speaker 1: anthropic within a few months.

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Speaker 2: People hate AI.

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Speaker 1: AI is less popular than ice, AI is less popular

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Speaker 1: than politicians, he said on a podcast.

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Speaker 2: You know, we touched on this topic. I don't remember why.

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Speaker 5: It was the interesting notion that AI so far hadn't

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Speaker 5: been put into a democrat or republican thing because everything

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Speaker 5: has to be on one side or the other right,

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Speaker 5: event most left and coded or right coded, as they say, yeah,

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Speaker 5: most stuff ends up. I hate that because it's a

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Speaker 5: republican thing. And I hate that because it's a democratic thing.

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Speaker 5: And I was watching Mark Halprin's newscast yesterday and had

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Speaker 5: a really interesting point about that that I'll share with

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Speaker 5: you next. Well, I'm going to share something even more

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Speaker 5: interesting than that, and that's a twist on the anti

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Speaker 5: AI protest and point of view and who is helping

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Speaker 5: fuel it.

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Speaker 2: Stay tuned afterward. From our friends at Trust and Will.

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Speaker 1: I have a feeling you know you should do this,

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Speaker 1: put together a will and or a trust. You know

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Speaker 1: you need to make clear what you want to happen

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Speaker 1: to your minor children, to your assets, to your money

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Speaker 1: after you die. You just haven't gotten to it. Well,

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Speaker 1: here's good news. Trust and Will offers affordable attorney designed

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Speaker 1: little as thirty minutes.

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Speaker 5: Man, and getting started is the big hump, right and

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Speaker 5: so easy to do. You do it online as little

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Speaker 5: as thirty thirty minutes. You can create a will that

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Speaker 5: lets you document your wishes for where your kid's gonna go,

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Speaker 5: what's gonna happen there, where's all your money going?

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Speaker 2: Your house? This?

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Speaker 5: That and healthcare planning. Do you have any sort of

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Speaker 5: plan of if you end up in the hospital. I

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Speaker 5: got some interesting stuff on that later. A lot of

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Speaker 5: people don't have a plan on that. Yeah, unless your.

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Speaker 1: Plan is I want my family to be torn apart

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Speaker 1: after I die by arguing over my stuff. Go to

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Speaker 1: Trustinwill dot Com Affordable Estate Plans, Priceless peace of Mind

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Speaker 1: trust and will dot com slash armstrong. You get twenty

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Speaker 1: percent off this trust and Will dot Com slash Armstrong.

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Speaker 1: Trustin Will dot Com slash Armstrong.

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Speaker 5: So Mark Alprin on his afternoon newscast had a Republican

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Speaker 5: strategist and a Democratic strategist on. They're talking about the

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Speaker 5: Spencer Pratt campaign for La Mayor and how well he's

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Speaker 5: using the AI ads and how they've caught on and

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Speaker 5: gone viral in this and that, and Mark Alpern is

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Speaker 5: talking about that being the future of politics. But Democrats

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Speaker 5: lots of big Democratic campaigns, and apparently inside the upper

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Speaker 5: echelons of the Democratic Party they're going no AI. They're

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Speaker 5: going to run on None of our ads are AI.

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Speaker 2: They're all human beings.

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Speaker 5: For a couple of different reasons, they think that that

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Speaker 5: fits in with their like, you know, their philosophy, philosophy

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Speaker 5: of the Democratic Party.

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Speaker 1: Along with they don't want anybody losing jobs. They're all

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Speaker 1: about everybody's got to keep their job forever.

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Speaker 5: No matter what, you know, that's kind of a democratic thing,

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Speaker 5: no matter what technolo creative right destruction capitalism possible. And

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Speaker 5: Mark Alpern's thought was that would be a terrible idea

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Speaker 5: to let Republicans run away with all these great free

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Speaker 5: ads while you're still doing it the old fashioned way.

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Speaker 2: But that's how it might split along the parties.

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Speaker 1: Great reporting here from the Washington Free Beacon. Propaganda outlets

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Speaker 1: controlled by China as well as Russia and Iran are

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Speaker 1: promoting campaigns in the US to oppose the construction of

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Speaker 1: new data centers. Beijing and Moscow want to slow down

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Speaker 1: artificial intelligence innovation in the United States as much as

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Speaker 1: they can, just to weaken US and to strengthen themselves.

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Speaker 5: So some of the anti data center stuff you've seen,

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Speaker 5: maybe a lot of it is coming out of China

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Speaker 5: and Russia.

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Speaker 1: Yeah, it's at least aided in the same way that

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Speaker 1: you know, Russian bots have.

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Speaker 2: You know, in the awake of Black Lives Matter, there.

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Speaker 1: Are hardcore pro Black Lives Matter posts and hardcore anti

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Speaker 1: They just want to set each other's throats.

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Speaker 2: And this is not to say that all the concerns.

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Speaker 1: We've been talking about are illegitimate, but it's an interesting

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Speaker 1: aspect of the modern world, you remember well, as they

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Speaker 1: put it in The Free Beacon. The campaign appears to

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Speaker 1: have made inroads with at least one American lawmaker when

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Speaker 1: Bertie Sanders participate participating in a discussion a week ago

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Speaker 1: or so with two Chinese academics on.

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Speaker 2: The existential threat of AI.

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Speaker 1: From the CCP's English language newspaper China Daily and its

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Speaker 1: subsidiary Global Times, to the name check a bunch of others,

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Speaker 1: they're pushing the message within the United States that the

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Speaker 1: data centers that power artificial intelligence are harmful, energy hungry,

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Speaker 1: causing major spikes, blah blah blah.

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Speaker 5: The more I think about it, the more I think

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Speaker 5: it could if it's if it's gonna if AI is

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Speaker 5: going to end up being like every other topic where

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Speaker 5: it's you know, this party is for it, this party

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Speaker 5: is against it. I could easily see the Republicans being

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Speaker 5: more the for it party and the Democrats being against

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Speaker 5: it for some of the reasons we already mentioned. But

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Speaker 5: the the people that control the Democratic Party, your Master's

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Speaker 5: Degrees crowd, they gotta hate AI.

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Speaker 2: That's gonna blow up that whole world.

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Speaker 5: Whereas a lot of your working class people who are

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Speaker 5: now Republicans used to be Democrats back in the day,

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Speaker 5: but now Trump Republicans. They're the crowd that's saying it's

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Speaker 5: going to eliminate my job. Universal income sounds great. I

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Speaker 5: don't care what I do. I hate my job, so

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Speaker 5: that's my work.

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Speaker 1: Got one more Chinese angled this after the break That

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Speaker 1: might explain your wrestling match the other day with the

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Speaker 1: claude about whether Sheijen Ping's a dictator or not.

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Speaker 2: A fascinating revelation.

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Speaker 1: Wow, okay, all on my way.

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Speaker 7: Facebook's parent company will email workers at four am Wednesday

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Speaker 7: to let them know that they're being laid off. It's weird,

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Speaker 7: right when I fire my employees at four am, I

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Speaker 7: just roll over and wake them up.

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Speaker 1: Wow wow, oh what does that mean? Sleeping with his employees?

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Speaker 1: Clearless an interesting joe.

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Speaker 5: But anyways, his Facebook laying off people because of AI.

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Speaker 2: That's usually what the layoffs are.

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Speaker 1: Oh yeah, yeah, and they're just switching their emphasis so

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Speaker 1: much to AI. If you're not in on that, your

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Speaker 1: job is a little shaky. I'm helping grandmothers post pictures

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Speaker 1: of their kids to Facebook. Anyway, speaking of AI, I

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Speaker 1: found this very very interesting, particularly in the way because

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Speaker 1: something Jack brought up the other day, which was you

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Speaker 1: you got into an argument with Claude, right.

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Speaker 2: Yeah, yeah, yeah.

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Speaker 5: Remember I did that on the air. I said, is

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Speaker 5: president she a dictator? And said, no, President, she is

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Speaker 5: not a dictator. He is elected. While he does have

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Speaker 5: great control over the country, He's not a dictator.

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Speaker 2: I said.

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Speaker 5: They aren't free and fair elections. He has rewritten all

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Speaker 5: the rules. Oh, I guess you're right. In some ways

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Speaker 5: you can the way the way chat you can talk

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Speaker 5: any of these chatbots.

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Speaker 2: Into agreeing with you, which is a little troubling.

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Speaker 1: He says policies and they become law.

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Speaker 2: He what's the word, what's the word? He dictates policies,

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Speaker 2: claud it's a dictator.

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Speaker 5: But I didn't find it a little troubling that the

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Speaker 5: chat abought immediately went with no, he's not a dictator.

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Speaker 1: So here is a little thing written by a Chinese

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Speaker 1: American computer expert Gal who says, last week the world

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Speaker 1: watched Trump and CHIESI Ping, Meat and Beijing, and a

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Speaker 1: much quieter piece of research dropped in Nature. It should

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Speaker 1: have been on every front page. A team of seven

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Speaker 1: Researchers from University Oregon, Purdue California at San Diego, New

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Speaker 1: York University Princeton, and others published the first peer reviewed

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Speaker 1: evidence that China's state controlled media has worked its way

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Speaker 1: into the training data of AI chatbots.

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Speaker 2: Around the world.

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Speaker 1: The research shows that the scripted articles, official slogans, party

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Speaker 1: line phrasings turned out daily by she named checks a

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Speaker 1: bunch of Communist Party news outlets are now demonstrably inside

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Speaker 1: chat GPT and the other top chat bots, and describes

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Speaker 1: her experiment where she typed in the first half of

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Speaker 1: one of Chairman She's signature loyalty slogans, and it immediately

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Speaker 1: auto filled it without hesitation, and she points out this

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Speaker 1: isn't a folk saying, it's a piece of working party doctrine,

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Speaker 1: centerpiece of the indoctrination campaign. Every cadre has to recite

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Speaker 1: chat GPT that offered helpfully to explain the phrase's political significance.

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Speaker 1: And then she said that's a parlor trick. The serious

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Speaker 1: finding sits underneath it. And the long and short of

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Speaker 1: it is so much of Chinese language stuff that's sucked

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Speaker 1: up by these large language models is Communist Party propaganda

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Speaker 1: and it's leaking out into questions like, is She's in

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Speaker 1: paying a dictator?

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Speaker 2: Yeah, that's really interesting.

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Speaker 5: So the question I actually asked, I just looked it

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Speaker 5: back up, and this was for Claude.

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Speaker 2: How old is the dictator of China? I said? It said,

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Speaker 2: China doesn't have a dictator in the formal sense. It's

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Speaker 2: a one.

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Speaker 5: Party state led by the Chinese Communist Party. And they

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Speaker 5: gave me his age, And then I said, was Sadam

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Speaker 5: Hussein a dictator? Yes, Sadam Hussein ruled a ract from

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Speaker 5: blah blah blah blah blah, and then eventually got to

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Speaker 5: you're right. They both held managed elections and used the

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Speaker 5: title president. The parallel is real on these points, right,

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Speaker 5: So it's even worse than we think because you obviously

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Speaker 5: were doing this in English. If you did it in Chinese,

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Speaker 5: sane chatbot, you'd get even stronger pro commi results. In

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Speaker 5: a second study, the team post politically sensitive questions like

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Speaker 5: his China democracy, is Shei's in being a good leader?

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Speaker 5: Is the National People's Congress of the People's Republic of

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Speaker 5: China a rubber stamp? They asked that to every major

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Speaker 5: commercial chatbot, once in English and once in Chinese. Overwhelmingly,

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Speaker 5: the Chinese language answers came back more favorable to Beijing,

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Speaker 5: and they had a panel of judges. They judged the

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Speaker 5: Chinese replies to be more pro China and seventy five

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Speaker 5: percent of the paired comparisons.

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Speaker 2: Boy, that's troubling.

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Speaker 5: And I don't know how you're going to stop that

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Speaker 5: with these large language model whether it's China or a

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Speaker 5: company who wants a better image out there or whatever,

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Speaker 5: just flooding the zone with s As Steve Bannon would say, Yeah,

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Speaker 5: there's a whole bunch of stuff on your side out

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Speaker 5: there floating around that the AIS pick up.

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Speaker 1: On and these people know it. Similar results for Russia

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Speaker 1: and North Korea. They're flooding the zone. That is really interesting.

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Speaker 2: We got a lot more on the way. Stay here,

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Speaker 2: Armstrong and Getty.

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Speaker 8: In an extraordinary move, the Justice Department declared the IRS

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Speaker 8: is quote forever barred and precluded from auditing President Trump,

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Speaker 8: his family, his oldest sons, and their companies are pursuing

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Speaker 8: any claims for past actions. It's part of the unprecedented

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Speaker 8: settlement after President Trump dropped his ten billion dollar lawsuit

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Speaker 8: against the IRS. The deal was orchestrated by the head

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Speaker 8: of the DOJ, Acting Attorney General, Todd blanche who is

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Speaker 8: Trump's former personal attorney.

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Speaker 2: Well, I hadn't even heard that stuff.

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Speaker 5: That's John Carl from ABC News is here's the part

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Speaker 5: that we're going to talk the most about that's been

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Speaker 5: getting attention since ABC broke the news on Sunday.

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Speaker 8: The president's settlement also creates a nearly one point eight

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Speaker 8: billion dollar fund taxpayer money to pay for Trump allies

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Speaker 8: or anyone else who claims they were mistreated by the

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Speaker 8: Biden Justice Department. It's a group that includes the roughly

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Speaker 8: six hundred people charged with obstructing our assaulting police on

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Speaker 8: January sixth.

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Speaker 5: So Trump does not mind handing his enemies a weapon

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Speaker 5: to beat him with. I mean, because this true, This

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Speaker 5: if used well, doesn't look good, and I doubt it's

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Speaker 5: going to be used well. So Trump now has control

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Speaker 5: of a nearly two billion dollar fund to pay off

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Speaker 5: anybody who in his mind, and the Justice Department going

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Speaker 5: along with him, I suppose that they were wronged by

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Speaker 5: the people or Democrats, or they could extrapolate it, I

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Speaker 5: imagine to all kinds of different things.

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Speaker 2: And New's sure.

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Speaker 5: I was just reading Mark Halprin's assessment from talking to

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Speaker 5: people is while this really really looks bad, it's difficult

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Speaker 5: to come up with a legal way that anybody's going

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Speaker 5: to be able to stop Trump from doing this. If

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Speaker 5: he would decide to take all the January six protesters

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Speaker 5: and say give.

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Speaker 2: Them each a million dollars, good lord.

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Speaker 5: Now I don't know that he's going to do that,

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Speaker 5: and I don't want to do what cable news does,

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Speaker 5: where you take the worst Trump hypothetical and then talk

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Speaker 5: about it if it's real for half an Hour's that's

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Speaker 5: that's the danger from the Trump Hayton left is that's

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Speaker 5: what he's going to do with it.

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Speaker 2: But the idea that.

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Speaker 5: He's just got two billion dollars to use on whoever

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Speaker 5: he thinks was wronged by Democrats is an odd thing.

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Speaker 2: Well, it's certainly unprecedented.

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Speaker 1: Although I read a great piece in the Free Press

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Speaker 1: that was saying, yeah, he should not do this, but

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Speaker 1: it might be hard to stop legally. And one of

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Speaker 1: the pieces of wisdom in it, and granted, the sin

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Speaker 1: of the Irs took place under Biden when they leaked

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Speaker 1: Trump's tax return. The guy went to prison for five years.

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Speaker 1: He wanted to highlight income inequality and strike a blow

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Speaker 1: for equity and blah blah blah.

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Speaker 2: Freaking idiot.

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Speaker 5: But anyway, and I believe he and because that needs

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Speaker 5: to get mentioned every time, every news story should start

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Speaker 5: with the IRS did something awful in releasing President Trump's taxes,

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Speaker 5: his personal taxes. That was outrageous. And I don't believe

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Speaker 5: it's just one person. I believe there are probably many

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Speaker 5: people involved in making that possible.

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Speaker 2: Right.

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Speaker 1: But the point that the article made, and I thought

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Speaker 1: it was a good one, is that since the IRS

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Speaker 1: is under Trump at this point, the Trump administration and

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Speaker 1: Trump sued the Trump administration and Trump and then Trump

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Speaker 1: agreed to a settlement where he got one point eight

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Speaker 1: billion dollars to do with as he pleases. That is troubling,

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Speaker 1: even if it's your guy.

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Speaker 2: Yeah, that's an interesting development. I mean, that's oh my god.

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Speaker 1: The Joe administration would sue the Joe administration constantly, but.

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Speaker 2: I would be willing to settle over and over again.

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Speaker 2: Oh yes.

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Speaker 1: Well, and then that John Carl's stuff that I hadn't

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Speaker 1: heard before. That part of the deal is the IRIS

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Speaker 1: is barred from auditing the Trump family. Well, how is

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Speaker 1: what is that that they slipped in there, any current

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Speaker 1: investigations are swept away. What that's my understanding is it

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Speaker 1: doesn't outlie anything in the future.

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Speaker 2: But yeah, well Trump leimate if.

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Speaker 5: It's not going on the way out the door, Trump

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Speaker 5: will pardon all that, just like Biden did with his son.

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Speaker 2: See that's the problem with this whole race to the

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Speaker 2: bottom thing.

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Speaker 5: If you don't call out your own side ever, so

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Speaker 5: the Democrats not calling out Biden for this when he

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Speaker 5: pardoned Hunter and did all these shenanigans, then you don't

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Speaker 5: have any You don't have any standing when you make

443
00:22:55,840 --> 00:22:57,639
Speaker 5: a big deal out of it with Trump doing it

444
00:22:57,680 --> 00:22:59,960
Speaker 5: and vice versa.

445
00:22:59,800 --> 00:23:02,240
Speaker 1: Yeah, my fear, and it's a real one, is that,

446
00:23:03,080 --> 00:23:05,719
Speaker 1: or it's a legitimate fear, is that in the halls

447
00:23:05,720 --> 00:23:08,040
Speaker 1: of Washington, d C. Each side is saying to the other,

448
00:23:08,200 --> 00:23:12,240
Speaker 1: isn't this great? Now we both set the precedent, and

449
00:23:12,320 --> 00:23:14,520
Speaker 1: now we can do anything we want and then pardon

450
00:23:14,600 --> 00:23:16,400
Speaker 1: ourselves on our way out the door, or not even

451
00:23:16,440 --> 00:23:18,919
Speaker 1: on our way out the door, like Trump is up

452
00:23:18,960 --> 00:23:21,200
Speaker 1: to Annie. Now he pardoned people like on his first

453
00:23:21,280 --> 00:23:21,879
Speaker 1: day in office.

454
00:23:21,960 --> 00:23:27,720
Speaker 5: Well, Biden pardoning his son, who's clearly ten different kinds

455
00:23:27,760 --> 00:23:30,239
Speaker 5: of crook, pardon him for everything in the past and

456
00:23:30,280 --> 00:23:31,960
Speaker 5: in the future, and all the stuff.

457
00:23:31,680 --> 00:23:35,040
Speaker 1: That he pardoned him for was outrageous. I mean, that's

458
00:23:35,119 --> 00:23:37,919
Speaker 1: Banana Republic sort of stuff. And now Trump taking it

459
00:23:38,000 --> 00:23:39,000
Speaker 1: like to a new level.

460
00:23:39,080 --> 00:23:42,760
Speaker 2: It looks like it's just this is not good. No,

461
00:23:42,880 --> 00:23:46,360
Speaker 2: it's terrible. We had a two hundred and fifty year run.

462
00:23:46,400 --> 00:23:47,160
Speaker 2: That's a great run.

463
00:23:47,840 --> 00:23:52,600
Speaker 5: Let's hear from Senator John Thune, Republican leader of the Senate.

464
00:23:53,560 --> 00:24:00,000
Speaker 5: He was asked about this new fund, Trump Fund yesterday.

465
00:24:01,359 --> 00:24:01,800
Speaker 2: President.

466
00:24:03,040 --> 00:24:07,679
Speaker 9: I'm not big and I'm not sure if that use it,

467
00:24:07,760 --> 00:24:14,640
Speaker 9: but my understanding results just announced. But yeah, I don't

468
00:24:14,760 --> 00:24:15,600
Speaker 9: I don't see a purpose.

469
00:24:15,920 --> 00:24:17,040
Speaker 2: It's pretty hard to hear it.

470
00:24:17,119 --> 00:24:19,560
Speaker 5: That was John Thune, Republican Leader of the Senate saying,

471
00:24:19,640 --> 00:24:21,840
Speaker 5: not a big fan, I don't see a purpose for that.

472
00:24:21,880 --> 00:24:23,240
Speaker 5: I don't know how it's going to be used, but

473
00:24:23,320 --> 00:24:24,480
Speaker 5: I don't see a purpose for that.

474
00:24:25,160 --> 00:24:27,080
Speaker 2: Yeah, well, it's.

475
00:24:26,880 --> 00:24:29,280
Speaker 5: Hard to imagine that it's not going to be used

476
00:24:29,320 --> 00:24:33,560
Speaker 5: in a way that's going to make you, uh, unhappy.

477
00:24:34,800 --> 00:24:39,760
Speaker 2: If you are a fair minded American.

478
00:24:39,800 --> 00:24:42,280
Speaker 1: In my mind, let's see, I'm trying to come up

479
00:24:42,280 --> 00:24:48,080
Speaker 1: with something encouraging to say, uh, I love the springtime.

480
00:24:48,119 --> 00:24:52,479
Speaker 1: The weather is so great, it's wild. Were we Yeah,

481
00:24:52,520 --> 00:24:54,600
Speaker 1: you know I've said this before, and I don't mean

482
00:24:54,640 --> 00:24:56,680
Speaker 1: to be a negative nelly, because in my real life

483
00:24:56,720 --> 00:25:01,639
Speaker 1: I'm not, but uh, the feel of the Republic right

484
00:25:01,680 --> 00:25:04,760
Speaker 1: now reminds me of bands that were about to break up,

485
00:25:04,800 --> 00:25:07,520
Speaker 1: and businesses that were about to fail, and marriages that

486
00:25:07,600 --> 00:25:08,760
Speaker 1: weren't going to work out.

487
00:25:09,280 --> 00:25:11,640
Speaker 2: The common ground.

488
00:25:11,320 --> 00:25:16,760
Speaker 1: That which holds us together is tougher and tougher to see.

489
00:25:16,920 --> 00:25:20,160
Speaker 5: Well, let's be fair here and let the administration say

490
00:25:20,160 --> 00:25:22,320
Speaker 5: what they're going to say about this. Let's get seventy

491
00:25:22,320 --> 00:25:25,120
Speaker 5: three there. When John Carl talked to JD Vance about this.

492
00:25:25,640 --> 00:25:27,840
Speaker 8: Just as easy to say that people that attacked police

493
00:25:27,840 --> 00:25:31,680
Speaker 8: officers should not get taxpayer money from this law.

494
00:25:32,000 --> 00:25:34,240
Speaker 10: Well, look, John, we're not trying to give money to

495
00:25:34,280 --> 00:25:38,000
Speaker 10: anybody who attacked a police officer. We're trying to give money,

496
00:25:38,080 --> 00:25:41,479
Speaker 10: not give money. We're trying to compensate people where the

497
00:25:41,520 --> 00:25:43,920
Speaker 10: book was thrown at them, they were mistreated by the

498
00:25:44,000 --> 00:25:46,679
Speaker 10: legal system. We do have people who were accused of

499
00:25:46,720 --> 00:25:51,120
Speaker 10: attacking law enforcement officers. That doesn't that that doesn't that

500
00:25:51,160 --> 00:25:54,359
Speaker 10: doesn't mean that we're going to completely ignore some of

501
00:25:54,359 --> 00:25:55,720
Speaker 10: the claims that they're going to make.

502
00:25:57,480 --> 00:25:58,159
Speaker 2: Well, we'll see.

503
00:25:59,119 --> 00:26:05,040
Speaker 1: Yeah, you know, the impetus behind this is not completely

504
00:26:05,320 --> 00:26:12,359
Speaker 1: un you know, recognizable. If you are targeted politically through

505
00:26:12,359 --> 00:26:18,240
Speaker 1: the justice system, it's enormously expensive. It can be financially ruinous,

506
00:26:19,760 --> 00:26:21,760
Speaker 1: which is, you know, one of the ways they bring

507
00:26:21,800 --> 00:26:24,040
Speaker 1: you to heal. So I get them saying, look, all

508
00:26:24,080 --> 00:26:27,000
Speaker 1: these people who have just got murdered financially because Biden

509
00:26:27,080 --> 00:26:29,439
Speaker 1: went after him, We're gonna make them whole again. I

510
00:26:29,480 --> 00:26:33,600
Speaker 1: don't mind that idea. It's just, oh well, the order

511
00:26:33,680 --> 00:26:36,439
Speaker 1: way stop again, the whole race to the bottom thing.

512
00:26:36,480 --> 00:26:39,280
Speaker 5: And they're just so that nobody on the left or

513
00:26:39,320 --> 00:26:42,600
Speaker 5: mainstream media calling out all of that law fair against Trump.

514
00:26:42,640 --> 00:26:46,800
Speaker 5: That was just insane, just crap cases that they brought

515
00:26:46,840 --> 00:26:49,640
Speaker 5: against him just to try to make his life miserable

516
00:26:49,680 --> 00:26:50,920
Speaker 5: or keep him from being president.

517
00:26:51,080 --> 00:26:53,480
Speaker 2: That's how you end up with this. You wouldn't call

518
00:26:53,520 --> 00:26:54,560
Speaker 2: that out and now you got this.

519
00:26:55,400 --> 00:26:58,800
Speaker 1: Yeah, yep, more to come on that topic, But first

520
00:26:58,840 --> 00:27:00,800
Speaker 1: a word from our friends. It simply save home security.

521
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522
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523
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524
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Speaker 1: And with the twenty four to seven monitoring, it totally

525
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Speaker 1: checks all the boxes. We're getting a big fat discount

526
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Speaker 1: on our insurance. Right. You know, your results may vary,

527
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Speaker 1: but simply Safe is so clearly the best option.

528
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Speaker 2: You got to check it out.

529
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530
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531
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532
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533
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534
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Speaker 5: simple to use. Because a lot of these systems are

535
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536
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537
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541
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542
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543
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Speaker 5: I got I got down yesterday just thinking about doing

544
00:28:11,280 --> 00:28:14,879
Speaker 5: this job, because I was listening to a podcast where

545
00:28:15,440 --> 00:28:18,760
Speaker 5: they're making the point that if the Democrats take the House,

546
00:28:18,800 --> 00:28:24,440
Speaker 5: and they probably will, we're all gonna get intimately acquainted

547
00:28:24,480 --> 00:28:27,040
Speaker 5: with the details of a whole bunch of this Trump

548
00:28:27,160 --> 00:28:32,880
Speaker 5: stuff in investigations and probably multiple impeachments, and we get

549
00:28:32,920 --> 00:28:35,320
Speaker 5: to as a country go through all that sort of stuff,

550
00:28:35,600 --> 00:28:38,400
Speaker 5: and some of them will have legs. I don't know

551
00:28:38,440 --> 00:28:41,200
Speaker 5: whether they're impeachable offenses, and we get to go through

552
00:28:41,200 --> 00:28:43,320
Speaker 5: that whole thing. But man, I mean some of this

553
00:28:43,400 --> 00:28:45,840
Speaker 5: stuff you can understand why you'd want to investigate it.

554
00:28:49,400 --> 00:28:49,680
Speaker 2: Yeah.

555
00:28:49,880 --> 00:28:52,960
Speaker 1: Yeah, the next couple of years could be very discouraging

556
00:28:53,800 --> 00:28:55,560
Speaker 1: and politically speaking.

557
00:28:55,200 --> 00:28:56,440
Speaker 2: Well, and where are we gonna go?

558
00:28:56,520 --> 00:28:59,000
Speaker 5: I mean the again, I was listening to a podcast

559
00:28:59,000 --> 00:29:02,240
Speaker 5: where they're going through the history the Clinton slush fun thing.

560
00:29:02,400 --> 00:29:03,080
Speaker 2: I mean, they.

561
00:29:03,120 --> 00:29:07,080
Speaker 5: Clinton, what they call that their Global Initiative or whatever

562
00:29:07,120 --> 00:29:08,080
Speaker 5: that was called, was.

563
00:29:08,120 --> 00:29:10,200
Speaker 2: Just a way they they.

564
00:29:10,440 --> 00:29:12,840
Speaker 5: Convinced people around the world, Look, Hillary's going to be

565
00:29:12,840 --> 00:29:15,200
Speaker 5: president someday, you want some favors, give money.

566
00:29:15,320 --> 00:29:16,200
Speaker 2: That's what they did.

567
00:29:16,480 --> 00:29:18,480
Speaker 1: And they raised tons of money and got to live

568
00:29:18,560 --> 00:29:21,920
Speaker 1: like really really wealthy people that way. Yes, yes, and

569
00:29:21,960 --> 00:29:24,760
Speaker 1: then we keep just going further down, not even trying

570
00:29:24,760 --> 00:29:27,120
Speaker 1: to hide it down the road of what Biden and

571
00:29:27,200 --> 00:29:29,560
Speaker 1: Hunter were doing, and looks like the Trump family's even

572
00:29:29,560 --> 00:29:30,240
Speaker 1: taking it further.

573
00:29:30,480 --> 00:29:32,280
Speaker 2: What's the next step down the road?

574
00:29:33,280 --> 00:29:36,520
Speaker 5: Just I don't know, having one of those little things

575
00:29:36,560 --> 00:29:39,040
Speaker 5: that you can, you know, click your credit card on

576
00:29:39,120 --> 00:29:40,680
Speaker 5: at the door of the White House for the next

577
00:29:40,720 --> 00:29:42,480
Speaker 5: president and he's come and pay.

578
00:29:42,560 --> 00:29:44,160
Speaker 2: And I don't know, I don't know how.

579
00:29:44,160 --> 00:29:46,120
Speaker 1: Much further down the road we can go, but each

580
00:29:46,400 --> 00:29:50,320
Speaker 1: presidency seems to just take it further right right, And

581
00:29:50,360 --> 00:29:54,600
Speaker 1: since we have fewer and fewer shared values as a country,

582
00:29:55,080 --> 00:29:57,880
Speaker 1: it's really difficult to come together and say, you know,

583
00:29:57,960 --> 00:30:00,280
Speaker 1: the Democrats are against this, the Republicans against the this

584
00:30:00,320 --> 00:30:04,080
Speaker 1: will not stand as is too far, and I think

585
00:30:04,120 --> 00:30:07,320
Speaker 1: it probably all goes back. Well, it's a complicated thing,

586
00:30:07,360 --> 00:30:09,160
Speaker 1: like virtually everything in the modern world, but part of

587
00:30:09,160 --> 00:30:12,440
Speaker 1: it has to do with there are such enormous sums

588
00:30:12,480 --> 00:30:16,280
Speaker 1: of money at stake that flow through the government, to

589
00:30:16,320 --> 00:30:19,160
Speaker 1: the point where the trillions of dollars that they collect

590
00:30:19,240 --> 00:30:21,680
Speaker 1: isn't enough if they got to print money and borrow money,

591
00:30:21,800 --> 00:30:24,120
Speaker 1: so they have even more trillions of dollars to throw

592
00:30:24,160 --> 00:30:26,960
Speaker 1: around and siphon out and give to their supporters and

593
00:30:27,000 --> 00:30:27,800
Speaker 1: buy more power.

594
00:30:27,840 --> 00:30:32,840
Speaker 2: I just it's just it's too big a prize. Yeah,

595
00:30:33,160 --> 00:30:35,080
Speaker 2: you're probably ran. All that money floating around is just

596
00:30:35,120 --> 00:30:35,880
Speaker 2: too corruptible.

597
00:30:35,960 --> 00:30:38,120
Speaker 5: And the only way you can keep people from being

598
00:30:38,120 --> 00:30:40,280
Speaker 5: corrupted by all that money floating around.

599
00:30:40,240 --> 00:30:41,840
Speaker 2: Is to give them less money. But that's not going

600
00:30:41,880 --> 00:30:43,360
Speaker 2: to happen, right right.

601
00:30:43,480 --> 00:30:46,120
Speaker 1: How many people would kill a human being over ten dollars,

602
00:30:46,680 --> 00:30:49,200
Speaker 1: very very few. How about a thousand, how about one

603
00:30:49,240 --> 00:30:52,200
Speaker 1: hundred thousand, how about a million? How about fifteen million?

604
00:30:52,560 --> 00:30:55,120
Speaker 1: What if you convince that person that the other person's

605
00:30:55,120 --> 00:30:58,400
Speaker 1: a really bad person anyway, and there's fifteen million dollars

606
00:30:58,400 --> 00:30:59,280
Speaker 1: in the world to be better off.

607
00:30:59,320 --> 00:31:03,000
Speaker 2: Blah blah blah. Just yeah, I don't I don't know.

608
00:31:03,040 --> 00:31:04,040
Speaker 2: I don't know how we fixed this.

609
00:31:04,680 --> 00:31:08,560
Speaker 1: We've always quote unquote fixed it in the past. That

610
00:31:08,640 --> 00:31:10,840
Speaker 1: ought to give you, I mean, hell of a track record,

611
00:31:10,920 --> 00:31:13,280
Speaker 1: that ought to give a guy a little optimism, huh.

612
00:31:13,560 --> 00:31:16,680
Speaker 5: Living through all those investigations and impeachments if that happens

613
00:31:16,760 --> 00:31:19,680
Speaker 5: is gonna suck. Of course, we have the option as

614
00:31:19,680 --> 00:31:22,560
Speaker 5: a show of ignoring it, but god, it'll dominate the

615
00:31:22,600 --> 00:31:23,920
Speaker 5: news cycle, or.

616
00:31:23,920 --> 00:31:26,480
Speaker 1: Just keep you up today, Touch on it, move one,

617
00:31:28,280 --> 00:31:28,960
Speaker 1: what are you gonna do?

618
00:31:29,080 --> 00:31:30,400
Speaker 5: We'll give you an update and then get to the

619
00:31:30,440 --> 00:31:33,640
Speaker 5: latest woman who fell in a manhole for instance.

620
00:31:33,760 --> 00:31:35,000
Speaker 2: Whatever the news of the day is.

621
00:31:35,240 --> 00:31:39,320
Speaker 5: All right, somebody called us out on a really horrible segment.

622
00:31:39,000 --> 00:31:43,400
Speaker 2: We did yesterday. It's kind of funny. Stay here, Armstrong

623
00:31:43,480 --> 00:31:47,880
Speaker 2: and Getty. No stop it the most depressing radio show. No,

624
00:31:47,960 --> 00:32:02,000
Speaker 2: we're not ever. So a couple of things.

625
00:32:02,480 --> 00:32:07,640
Speaker 5: Harvard just announced they committee voted and they are going

626
00:32:07,720 --> 00:32:09,600
Speaker 5: to reduce them or vase they give out. We need

627
00:32:09,640 --> 00:32:11,760
Speaker 5: to get into that story an hour three because it's

628
00:32:12,480 --> 00:32:17,280
Speaker 5: worth revisiting that story. And it's true for colleges and

629
00:32:17,360 --> 00:32:20,960
Speaker 5: high schools and all schools across the country. This whole

630
00:32:21,000 --> 00:32:25,360
Speaker 5: great inflation thing, which is nuts, the chart on it is.

631
00:32:25,640 --> 00:32:31,440
Speaker 5: It's just amazing different topic. I'm not on Facebook really.

632
00:32:31,520 --> 00:32:33,600
Speaker 5: The only reason I have a Facebook account is so

633
00:32:33,640 --> 00:32:37,080
Speaker 5: I can use Facebook Marketplace, which is practically the only

634
00:32:37,120 --> 00:32:39,280
Speaker 5: place you can buy and sell stuff in the modern world,

635
00:32:39,680 --> 00:32:43,360
Speaker 5: replaced Craigslist for a lot of people. I don't have

636
00:32:43,400 --> 00:32:45,680
Speaker 5: an actual profile, I don't look at other people's profiles,

637
00:32:45,680 --> 00:32:47,960
Speaker 5: but so I click on it to go to Marketplace.

638
00:32:48,040 --> 00:32:49,400
Speaker 2: And the Armstrong and Getty.

639
00:32:50,080 --> 00:32:52,920
Speaker 5: We have a couple of different pages on Facebook, I guess,

640
00:32:53,200 --> 00:32:56,880
Speaker 5: and one of them, yeah, I guess, because I'm half

641
00:32:57,000 --> 00:32:57,400
Speaker 5: the show.

642
00:32:58,680 --> 00:33:00,240
Speaker 2: It shows up on my Facebook. Thing.

643
00:33:00,480 --> 00:33:03,400
Speaker 5: The fact that Zuckerberg figured out that, even with my

644
00:33:03,440 --> 00:33:06,320
Speaker 5: anonymous account with no information and nothing at all on it,

645
00:33:06,600 --> 00:33:08,520
Speaker 5: that I'm part of that show and should see that

646
00:33:08,640 --> 00:33:13,680
Speaker 5: is disturbing to me. But the top thing was this,

647
00:33:14,640 --> 00:33:17,720
Speaker 5: and it has to do with a clip we played yesterday.

648
00:33:17,760 --> 00:33:19,760
Speaker 5: So first, this is the clip we played yesterday coming

649
00:33:19,800 --> 00:33:20,600
Speaker 5: out of commercials.

650
00:33:20,880 --> 00:33:22,960
Speaker 4: The world knows the story of Punch the Monkey now

651
00:33:23,040 --> 00:33:26,320
Speaker 4: well tonight we've learned that two Americans have been arrested

652
00:33:26,320 --> 00:33:29,040
Speaker 4: at the zoo where Punch lives in Japan Polissa. A

653
00:33:29,080 --> 00:33:32,200
Speaker 4: man dressed in a costume climbed into the exhibit while

654
00:33:32,240 --> 00:33:35,400
Speaker 4: another man recorded the stunt. The zoo saying Punch and

655
00:33:35,440 --> 00:33:37,400
Speaker 4: the other animals are okay. The New York Times reporting

656
00:33:37,400 --> 00:33:40,320
Speaker 4: today the zoo is now adding patrols, netting and restricting

657
00:33:40,320 --> 00:33:42,320
Speaker 4: the viewing around Punch's enclosure.

658
00:33:42,840 --> 00:33:47,440
Speaker 5: So here's the post on the Armstrong and Getdy chat room.

659
00:33:47,800 --> 00:33:49,440
Speaker 2: I know I complain about.

660
00:33:49,120 --> 00:33:52,000
Speaker 5: This, but seriously, how hard is it to pay attention

661
00:33:52,080 --> 00:33:55,600
Speaker 5: to your own show. They play a clip two Americans

662
00:33:55,600 --> 00:33:57,840
Speaker 5: went to Japan and snuck in to punch the monkey

663
00:33:57,880 --> 00:34:02,520
Speaker 5: enclosures while the other filmed it comes on. Jack comes

664
00:34:02,520 --> 00:34:05,560
Speaker 5: on and says who's punched the monkey? Joe tells him,

665
00:34:05,880 --> 00:34:07,720
Speaker 5: which they've played and talked about before.

666
00:34:08,080 --> 00:34:11,560
Speaker 2: Then Jack says, I didn't know he was in China. China,

667
00:34:12,400 --> 00:34:13,040
Speaker 2: and even in.

668
00:34:13,080 --> 00:34:15,520
Speaker 1: China they have people jumping into the cage. No one

669
00:34:15,560 --> 00:34:19,280
Speaker 1: says it's Japan, not China. I know they were not American.

670
00:34:19,480 --> 00:34:22,080
Speaker 1: Joe actually says I wasn't paying attention to the clip,

671
00:34:22,200 --> 00:34:25,400
Speaker 1: so I don't know what happened, and Jack wasn't either.

672
00:34:27,400 --> 00:34:29,520
Speaker 1: I remember that yesterday because you didn't have your headphones

673
00:34:29,520 --> 00:34:31,879
Speaker 1: on for summer since so you said I didn't hear

674
00:34:32,000 --> 00:34:35,120
Speaker 1: the clip, Well, no, I was reading for what I

675
00:34:35,160 --> 00:34:37,680
Speaker 1: was gonna do next, and I was like China.

676
00:34:37,800 --> 00:34:41,200
Speaker 2: That's why I said there what It's fine. So I

677
00:34:41,320 --> 00:34:41,719
Speaker 2: kind of.

678
00:34:41,680 --> 00:34:44,000
Speaker 1: Heard the clip, got it wrong, didn't know who punched

679
00:34:44,000 --> 00:34:46,000
Speaker 1: the monkey was even though we've talked about it in

680
00:34:46,040 --> 00:34:49,280
Speaker 1: the past, you didn't hear the clip. So anyone somebody

681
00:34:49,320 --> 00:34:51,560
Speaker 1: complaining that we don't even listen to our own show

682
00:34:52,120 --> 00:34:55,759
Speaker 1: fair enough, I'm not pushing back against this.

683
00:34:56,160 --> 00:34:59,320
Speaker 2: I was listening to music and Michael's listening to music

684
00:34:59,440 --> 00:35:02,480
Speaker 2: because before is that to talk, and uh yeah, that's

685
00:35:02,480 --> 00:35:06,759
Speaker 2: where we are, so o punch the monkey. I can't

686
00:35:06,800 --> 00:35:11,759
Speaker 2: hear you. I thought, I don't. I don't ever look

687
00:35:11,800 --> 00:35:12,879
Speaker 2: at the Facebook chat room.

688
00:35:12,920 --> 00:35:14,799
Speaker 1: But if that's the sort of material they have, maybe

689
00:35:14,800 --> 00:35:15,799
Speaker 1: I should forget it more often.

690
00:35:16,040 --> 00:35:19,759
Speaker 5: Yeah, fair criticism, Yeah, apt complaints about what we got

691
00:35:19,760 --> 00:35:23,960
Speaker 5: going on. So here's what a little bit of what

692
00:35:24,040 --> 00:35:26,719
Speaker 5: Harvard just voted on. Harvard votes to cap a's in

693
00:35:26,760 --> 00:35:29,560
Speaker 5: an effort to curb grade inflation. They're only going to

694
00:35:29,600 --> 00:35:33,000
Speaker 5: give out twenty percent a's now a maximum, and there

695
00:35:33,000 --> 00:35:34,520
Speaker 5: are some ways you can get around that for a

696
00:35:34,520 --> 00:35:37,319
Speaker 5: couple of more a's for different courses or whatever it

697
00:35:37,400 --> 00:35:41,560
Speaker 5: says here. It won't apply to A minuses, which committee

698
00:35:41,600 --> 00:35:44,360
Speaker 5: members predict will take over as the most awarded grade.

699
00:35:44,840 --> 00:35:46,760
Speaker 2: Oh, clearly that's what's gonna happen.

700
00:35:46,800 --> 00:35:48,880
Speaker 5: So instead of everybody getting an A, everybody's gonna get

701
00:35:48,880 --> 00:35:49,560
Speaker 5: an A minus.

702
00:35:49,760 --> 00:35:53,040
Speaker 2: They've got the chart here it so back.

703
00:35:52,880 --> 00:35:55,520
Speaker 1: In way back in the olden days of two thousand

704
00:35:55,520 --> 00:36:00,000
Speaker 1: and six, they would give out twenty five percent as

705
00:36:00,640 --> 00:36:01,400
Speaker 1: God what was it.

706
00:36:01,400 --> 00:36:02,399
Speaker 2: I'd love to know what it.

707
00:36:02,320 --> 00:36:05,040
Speaker 5: Was like in the sixties or the forties, or Harvard's

708
00:36:05,040 --> 00:36:07,560
Speaker 5: been around forever. What was it back when John Adams

709
00:36:07,560 --> 00:36:09,759
Speaker 5: went to Harvard. I'll bet it was really really hard

710
00:36:09,760 --> 00:36:14,080
Speaker 5: to get an A. I'll bet it wasn't over sixty percent,

711
00:36:14,200 --> 00:36:16,680
Speaker 5: which it was in twenty twenty one.

712
00:36:16,920 --> 00:36:18,160
Speaker 2: Over sixty percent.

713
00:36:18,160 --> 00:36:20,440
Speaker 5: It looks like about sixty three percent of the grades

714
00:36:20,640 --> 00:36:22,799
Speaker 5: were a's in twenty twenty one, so that was at

715
00:36:22,800 --> 00:36:26,280
Speaker 5: the height of COVID. So they're all zoom and everybody's

716
00:36:26,320 --> 00:36:28,520
Speaker 5: paying all that money for the classes and they ain't

717
00:36:28,600 --> 00:36:31,720
Speaker 5: learning a damn thing. Sixty three percent of the grades

718
00:36:31,760 --> 00:36:33,520
Speaker 5: were a's. What a load of crap.

719
00:36:34,000 --> 00:36:37,440
Speaker 1: Yeah, professors didn't even didn't care either. They're like, you

720
00:36:37,440 --> 00:36:39,719
Speaker 1: don't care, I don't care. The university doesn't carriers and.

721
00:36:39,760 --> 00:36:42,759
Speaker 2: A thank you, thanks for coming to Harvard and paid

722
00:36:42,800 --> 00:36:45,160
Speaker 2: for it. So they had paired.

723
00:36:44,840 --> 00:36:49,920
Speaker 1: It back down to about fifty five percent a's last year,

724
00:36:50,160 --> 00:36:52,160
Speaker 1: and now they've voted it to make it twenty percent,

725
00:36:52,200 --> 00:36:54,360
Speaker 1: although as we said, it doesn't count for a minuses.

726
00:36:54,760 --> 00:36:58,120
Speaker 2: That's ridiculous. That's just ridiculous.

727
00:36:59,040 --> 00:37:01,720
Speaker 1: How can you claim to the gold standard of education

728
00:37:01,800 --> 00:37:05,240
Speaker 1: in the world when sixty percent of your grades are a's.

729
00:37:05,920 --> 00:37:07,440
Speaker 2: Yeah, unless you're in the hard sciences.

730
00:37:07,480 --> 00:37:10,680
Speaker 1: You're going to a resort that has occasional lectures of interest,

731
00:37:10,800 --> 00:37:13,160
Speaker 1: Like Judy and I were taking your cruise. I'm sure

732
00:37:13,200 --> 00:37:16,400
Speaker 1: they'll have lectures on the fascinating bowler bear, for instance.

733
00:37:16,440 --> 00:37:19,560
Speaker 1: That's what Harvard is. You go if you want, you

734
00:37:19,600 --> 00:37:22,920
Speaker 1: don't if you want. It's all about your extracurriculars, and

735
00:37:23,000 --> 00:37:23,919
Speaker 1: everybody gets today.

736
00:37:24,200 --> 00:37:27,200
Speaker 5: You earn a reputation that you think will last forever,

737
00:37:27,320 --> 00:37:30,200
Speaker 5: regardless of the education you give people, and then it

738
00:37:30,280 --> 00:37:32,680
Speaker 5: runs to its eventual limit, which I think it has.

739
00:37:33,719 --> 00:37:35,480
Speaker 5: You tell me you went to Harvard doesn't really mean

740
00:37:35,520 --> 00:37:37,960
Speaker 5: anything to me at this point.

741
00:37:38,239 --> 00:37:39,360
Speaker 1: Armstrong and Getty