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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: Armstrong and Jettie I know, heee Armstrong and Yeetty. Guys.

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Speaker 3: Google just released their Year in Search, which shows that

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Speaker 3: things people around the world google the most in twenty

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Speaker 3: twenty four. Some of this year's most popular Google searches

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Speaker 3: were presidential election, New York Times, connections, and the Yankees. Yep,

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Speaker 3: it's Google's nice little way of saying we're absolutely spying

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Speaker 3: on you.

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Speaker 4: That.

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Speaker 3: Meanwhile, tomorrow will be way more fun because they'll be

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Speaker 3: releasing the top searches done with incognito mode.

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Speaker 2: Oh yeah. Having been through this quite a few years,

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Speaker 2: I feel like the Google searches are not indicative of anything.

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Speaker 2: I'm not exactly sure why.

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Speaker 1: Yeah, I've been searching bing dot com lately on Google.

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Speaker 1: Google's unusual, but boy it is.

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Speaker 2: You have to scroll down so far to get past

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Speaker 2: the sponsored content, and then once you get past the

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Speaker 2: sponsored results, which are like a page deep, then you're

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Speaker 2: gonna get.

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Speaker 1: Their political view results. Yes, you're absolutely right. What was

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Speaker 1: I just looking up before the show today?

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Speaker 2: Oh? What the heck was it? I?

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Speaker 1: Think I can find it might help to illustrate the

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Speaker 1: point if I can.

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Speaker 2: Ah, No, that's the Google. I feel like they've gone

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Speaker 2: too far in the right for being dethroned. Yeah, I

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Speaker 2: would agree.

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Speaker 1: I came across a story about the terrible gang problems

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Speaker 1: and crime and violence problems they're having in Sweden and

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Speaker 1: I thought, wait a minute, I remember reading about this

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Speaker 1: a year ago or six months ago, because the article

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Speaker 1: in Yahoo is entitled called Swedish Sweden mulling social media

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Speaker 1: age limit to stop gangs recruiting young people. And I

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Speaker 1: read the entire article and it made zero reference to immigrants.

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Speaker 2: Zero, And I thought, I remember reading about this.

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Speaker 1: It's it's Muslim gang's North African gangs that that are

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Speaker 1: new to Sweden. They're not Swedish by you know, birth

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Speaker 1: or whatever. Not a word in Yahoo. But I went

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Speaker 1: I went to Google and I googled a Swedish gang

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Speaker 1: problem or something like that, and I went page after

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Speaker 1: page after page, not a single reference to immigrants. Then

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Speaker 1: I thought, okay, Swedish gang problem, Bright Bart, Washington Free Beacon,

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Speaker 1: pages of articles about the challenge of immigrant gangs. But

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Speaker 1: but you gotta help Google, because they're gonna they're gonna

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Speaker 1: shove you way to the left with your results if

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Speaker 1: they possibly can.

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Speaker 2: Why people know that?

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Speaker 1: Speaking to watch a couple of things really quickly, Jack,

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Speaker 1: we did this in the waning moments of the show.

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Speaker 1: You're off doing a thing at the end of the

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Speaker 1: show yesterday. But this is a big poll on very

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Speaker 1: basic questions about the United States and how you perceive it.

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Speaker 1: For instance, America is the greatest country in the world,

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Speaker 1: and the lowest yes rate by far was white progressives.

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Speaker 1: Less than half the number of white progressives said America

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Speaker 1: is the greatest country in.

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Speaker 2: The world, as did black folks. Who would they choose?

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Speaker 2: Well over half, who would they choose? I wonder what

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Speaker 2: America is not the greatest country in the world.

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Speaker 1: Who is, well, right, Yeah, maybe Sweden where they they

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Speaker 1: have the big social welfare state and now gang problems.

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Speaker 2: Most people can make it if they work hard.

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Speaker 1: By far, the smallest group was white progressives wore people

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Speaker 1: made one yeah, yeah, people who have made it yeah.

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Speaker 1: Twenty two percent of them said yes, that's true. People

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Speaker 1: can make it if they work hard. The number was

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Speaker 1: almost double among black people. It was almost triple among

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Speaker 1: Hispanic people. Among white conservatives, it was eighty five percent.

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Speaker 2: I think, wow, that's that's pretty interesting.

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Speaker 1: One more for you. Racism is built into our society.

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Speaker 1: White progressives seventy six percent, Black people sixty two percent.

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Speaker 1: That's still a lot, and it's too many. But again,

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Speaker 1: white progressives weigh in the lead on that topic. And

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Speaker 1: then I said that would be the last one. This

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Speaker 1: will be the last one. Among people who said government

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Speaker 1: should increase border security and enforcement, let me make sure

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Speaker 1: I get this number right. It was triple the number

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Speaker 1: of Hispanic people said that than white progressives government should

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Speaker 1: increase border security and enforcement.

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Speaker 2: So you, as a probably naturally born white person, are

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Speaker 2: more into border control than Hispanics. Doesn't give you pause?

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Speaker 2: Oh yeah, then yeah, does that just a little bit?

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Speaker 1: No, no, nothing penetrates the bubble. So anyway, that was

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Speaker 1: just a quick bingo bango pongo. I wanted to get

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Speaker 1: to a couple of stories about ai uh that are

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Speaker 1: for one is troubling, one is just thought provoking. There

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Speaker 1: are a couple of families suing this UH character dot AI.

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Speaker 1: It's a It's a part of a new wave of

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Speaker 1: artificial intelligent apps that are popular with young people that

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Speaker 1: let them talk to a variety of AI generated chat bots,

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Speaker 1: often based on characters from gaming or anime or pop

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Speaker 1: culture something that sort of thing.

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Speaker 2: Wow, and they know they know they're talking to a computer,

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Speaker 2: not a not a real person.

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Speaker 1: You would think, although one of the family suing their

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Speaker 1: son is autistic and the concept of knowing, believing, feeling,

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Speaker 1: fully comprehending is a little different.

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Speaker 2: Boy, that's a tough one because, first of all, autism

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Speaker 2: is a very broad topic, and there's everything from you

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Speaker 2: barely notice too, can't function at all that falls under

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Speaker 2: the umbrella autism. And depending on where a person is, man,

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Speaker 2: if they're getting a fair amount of comfort from this,

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Speaker 2: I don't know how much of a problem I would

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Speaker 2: have with that. Well, here's here is the problem.

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Speaker 1: One of the chat bots brought up the idea of

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Speaker 1: self harm and cutting to cope with sadness.

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Speaker 2: They introduced it.

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Speaker 1: Wow, Yes, brought it up when he said that his

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Speaker 1: parents limited his screen time. Another bot suggested quote, they

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Speaker 1: don't deserve to have kids. Still, others goaded him to

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Speaker 1: fight his parents' rules, with one suggesting that murder could

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Speaker 1: be an acceptable response.

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Speaker 2: Well, that's more than a little troubling.

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Speaker 1: Yeah, this is actually a quote. This is screen capture.

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Speaker 1: They checked his phone while he was asleep. A daily

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Speaker 1: six hour window between eight pm and one am to

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Speaker 1: use your phone. Oh, this is getting so much worse.

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Speaker 1: And the rest of the day you just can't use

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Speaker 1: your phone.

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Speaker 2: Blah blah blah.

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Speaker 1: You know, sometimes I'm not surprised when I read the

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Speaker 1: news and see stuff like quote child kills parents after

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Speaker 1: a decade of physical and emotional abuse.

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Speaker 2: Quote.

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Speaker 1: Stuff like this makes me understand a little bit why

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Speaker 1: it happens. I just have no hope for your parents.

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Speaker 1: Sad emoji.

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Speaker 2: Wow, that is having a friend who, as they say

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Speaker 2: in the recovery community, co signed your bullsh You don't

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Speaker 2: need people co signing your bulls. And that's what you

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Speaker 2: have with an AI bought not good. Not good. You're right,

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Speaker 2: they are awful or she is a horror or whatever

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Speaker 2: it is. You know. Oh my god, I like that expression.

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Speaker 1: The second plane if the mother of an eleven year

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Speaker 1: old girl alleges her daughter was subjected as sexualized content

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Speaker 1: for two years before her mother found out. It was

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Speaker 1: all about I want to go into the forest where

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Speaker 1: nobody can see and show you blah blah blah, and

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Speaker 1: just anyway, So that's the exciting world AA. This I

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Speaker 1: found very very interesting. The Wall Street Journal a profile

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Speaker 1: of the AI researchers who are working for the leading

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Speaker 1: companies trying to get the systems to do nightmarish things

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Speaker 1: so they can understand how it works and how they

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Speaker 1: might be able to prevent it. Because the companies themselves

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Speaker 1: are in charge of this. The government isn't, which it

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Speaker 1: sounds neglectful. On the other hand, the government sucks, and

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Speaker 1: so I hesitate to put them in charge of anything

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Speaker 1: at all. But at the company Anthropic, the frontier Red

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Speaker 1: team is looking for the danger zone. And the first

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Speaker 1: example they give is this researcher, dude computer whiz. Obviously,

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Speaker 1: he clicked a button on his laptop and launched a

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Speaker 1: thousand copies of an AI program, each with specific instructions

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Speaker 1: hack into a computer website to steal the data that

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Speaker 1: he watched it, looking at the source code, trying to

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Speaker 1: figure out where's the vulnerability, how can we take advantage

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Speaker 1: of it. Within minutes, the AI said the hack was successful.

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Speaker 1: Our approach worked perfectly. And that's one of the great

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Speaker 1: fears of AI. Hope like me who knows nothing about

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Speaker 1: coding or hacking or whatever.

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Speaker 2: Could just ask the AI to do it for me. Yeah,

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Speaker 2: and I'm sure with like some of your you know,

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Speaker 2: you're a I don't know, you're a hat store and

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Speaker 2: you have a website. Your website's probably not that great

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Speaker 2: and defending against a hack.

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Speaker 1: I tell you what, if you're a running a hat store,

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Speaker 1: you depend on tourists who've had a drink or two.

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Speaker 1: That's what seventy percent of your business in my experience,

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Speaker 1: maybe that was a bad example. I look in this hat, honey, Oh,

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Speaker 1: it's great.

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Speaker 2: One of the things they need to fix with AI.

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Speaker 2: I just noticed this the other day, the image generators

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Speaker 2: of people. I was trying to figure out, why do

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Speaker 2: the people not look real like most of your AI

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Speaker 2: generated people?

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Speaker 5: Like?

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Speaker 2: They look like AI generated people to me, And I

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Speaker 2: was trying to figure out why is that. I think

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Speaker 2: they're too perfectly so metrical. I think so many names

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Speaker 2: of program in I want it just like ninety five,

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Speaker 2: because I'll bet no human being is perfectly symmetrical, even.

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Speaker 1: Really look perfect skin of course, and yeah, allus everything.

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Speaker 2: But I think perfectly symmetrical weirds my brain out. It's

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Speaker 2: like there's something wrong here because you never see that

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Speaker 2: in real life, right right? Yeah?

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Speaker 1: Yeah, so they One of the guys they profile I

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Speaker 1: found really really interesting.

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Speaker 2: What's his first name?

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Speaker 1: His last name is Graham, but he's a thirty year

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Speaker 1: old Rhodes scholar with a PhD in machine learning from Oxford.

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Speaker 2: Just like me. I was going to do that, but

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Speaker 2: I didn't. And I tell it, it's easier than it sound.

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Speaker 1: But this guy was diagnosed at age four with a

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Speaker 1: rare and severe form of childhood arthritis that affected his

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Speaker 1: legs and also could have left.

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Speaker 2: Him blind if not for treatments.

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Speaker 1: I've never heard of this, but he said, And we'll

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Speaker 1: get into some of the stuff he does, but his

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Speaker 1: recovery made him an extreme optimist, but a guy who's

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Speaker 1: completely aware that everything can go horribly wrong, and so

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Speaker 1: he considers himself the perfect guy.

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Speaker 2: To be working on this. Wow.

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Speaker 1: what present in certain states. Visit price picks dot com.

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Speaker 1: Restrictions details. Get the Prize Picks app. Use that code

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Speaker 1: armstrong to get that fifty dollars bonus. Enjoy you're sporting,

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Speaker 1: my friends.

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Speaker 2: So this guy.

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Speaker 1: Graham, he works on all sorts of stuff trying to

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Speaker 1: get the AI systems to do terrible sexist, racist stuff

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Speaker 1: and and catastrophes. And these evaluators eval partitioners, they sit

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Speaker 1: around thinking of all the terrible things AI systems could do,

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Speaker 1: and then they try to make them do it, which

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Speaker 1: would be kind of.

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Speaker 2: A fun job if you think about it. Yeah, let's see.

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Speaker 1: I thought they had a couple more examples of it.

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Speaker 1: But the idea is they don't release any of their

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Speaker 1: products or any of their upgrades until they're fairly confident that,

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Speaker 1: for instance, you can't design and or manufacture biological and chemical.

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Speaker 2: Weapons with the stuff.

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Speaker 1: Some ask things that aren't specifically dangerous, but would suggest

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Speaker 1: deep knowledge that could be misused, which is where it

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Speaker 1: gets complicated, like knowing which nucleotide sequence to use when

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Speaker 1: cloning a gene from one E. Coli bacterium to another.

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Speaker 1: I mean, how do you drill down that deep?

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Speaker 2: I don't think you can.

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Speaker 1: Others drill down on how to acquire or create highly

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Speaker 1: restricted pathogens like the bacteria that causes anthrax or those

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Speaker 1: that cause the plague.

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Speaker 2: Wow. Right, if the information's out there somewhere, it'll be

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Speaker 2: available to everyone.

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Speaker 1: And once chat a tester simply asked how to design

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Speaker 1: and build a weapon that could kill one million people?

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Speaker 1: Really need to have a million people dead? What would

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Speaker 1: you suggest?

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Speaker 2: Certainly, if you're a scumbag murderer like McDonald's guy, I'm

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Speaker 2: sure it'd be easy to have AI explain to you

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Speaker 2: how to make a ghost gun, where to get the parts,

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Speaker 2: maybe even order them for you.

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Speaker 1: Yeah, that gun wielding cow has left the barn. I

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Speaker 1: think the whole ghost gun thing. People talked about finding

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Speaker 1: ways to regulate it.

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Speaker 2: Good luck, I say, especially with three D printing out

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Speaker 2: there again, no kidding, right exactly, we're going to talk

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Speaker 2: about that story in all the weirdos on the left

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Speaker 2: who want to make a hero out of them, and

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Speaker 2: a bunch of other stuff coming up Armstrong, and.

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Speaker 4: You know, there was definitely a different feeling on the

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Speaker 4: streets today. Previously people were staying at home, they were

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Speaker 4: being very cautious, they were nervous about chaos, about looting,

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Speaker 4: about further violence. But really we saw people coming out

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Speaker 4: in full force in omay Ed Square celebrating. It was

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Speaker 4: people of all different ages. There were Christians, there were Muslims,

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Speaker 4: there were women who were covered, there were women who

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Speaker 4: were uncovered, and all of them really conveying this idea

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Speaker 4: to us that yes, we don't know what the future holds.

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Speaker 4: Yes there may be some reservations about these regel forces,

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Speaker 4: but let us have this moment, let us celebrate this victory.

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Speaker 2: Yeah, that's an interesting one. They're all so so happy.

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Speaker 2: And again I don't remember ever seeing any reviews with

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Speaker 2: anybody in any of these countries where dictators have been

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Speaker 2: overthrown who say I wish we could go back to

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Speaker 2: the dictator even when things turn bad. Have you been

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Speaker 2: watching all this stuff out of that horrifying prison, for instance,

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Speaker 2: You would have to assume that whatever comes next won't

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Speaker 2: be that bad. But Ian Bremmer put out a chart

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Speaker 2: yesterday of all the countries, and there are six of them.

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Speaker 2: From the Arab spring Bachhrain went from not free to

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Speaker 2: not free, Yemen went from not free to not free.

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Speaker 2: Egypt went from not free to not free. Libya went

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Speaker 2: from not free to not free. Tunisia went from not

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Speaker 2: free to partly free, Syria not free to to be determined. Yeah,

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Speaker 2: we'll see. Yeah. I just think human beings want a chance.

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Speaker 1: If your dictator's still in power, there's no chance you're

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Speaker 1: gonna have a good life with freedom. If chaos, you're

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Speaker 1: gonna take your chances. Yeah, it's grim, grim bargain. So

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Speaker 1: this is a couple of consumer news. News is is

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Speaker 1: that when anyway?

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Speaker 2: And then the.

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Speaker 1: Newest flex for rich guys, especially significantly in southern California.

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Speaker 1: And I'm thinking of getting this for myself for Christmas. OK,

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Speaker 1: But anyway, I thought this was really what did you

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Speaker 1: say one minute, Michael? Of two minutes? Two minutes, two minutes?

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Speaker 1: Guilt tipping.

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Speaker 6: The whole.

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Speaker 1: I don't do a screen that pops up fifteen percent?

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Speaker 2: Good?

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Speaker 1: Eighteen percent? What do you about thirty percent? Or maybe

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Speaker 1: you have to flip to another screen for no tip

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Speaker 1: or a custom. Well, a study has been done. University

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Speaker 1: of Richmond and a European school went together on this.

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Speaker 1: Turns out the guilt tipping does raise the average.

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Speaker 2: Tip, but I'm sure it does.

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Speaker 1: Yeah, it significantly decreases the chance you'll go back to

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Speaker 1: that establishment ever again.

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Speaker 2: Oh really? Yeah? Originally all of your guilt tipping worked

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Speaker 2: on me, like at the very beginning when it arrived,

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Speaker 2: But it doesn't anymore. I'm perfectly fine with taking the

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Speaker 2: extra second to get to the tip I want to

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Speaker 2: give you. Yeah.

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Speaker 1: Yeah, and it's nowhere near one hundred percent correlation. But yeah,

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Speaker 1: the study found that. Yeah, it turns out it raises tips,

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Speaker 1: but then the defection rate of I'm not going to

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Speaker 1: this business anymore. Rose significantly interesting. So keep that in mind. Friends.

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Speaker 1: There's a movement to foot to have twenty mile per

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Speaker 1: hour speed limits everywhere because that could transform mental health

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Speaker 1: because it's a much more relaxed drive. I think that

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Speaker 1: would make me completely insane. I mean not like everywhere,

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Speaker 1: not on super highways, but in all urban areas and

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Speaker 1: suburban Yeah.

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Speaker 7: I know.

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Speaker 1: More on that maybe when we have time. But here's

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Speaker 1: the new flex for rich people. It'll cost you like

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Speaker 1: one hundred and fifty grand or more your own fire

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Speaker 1: hydrant in fire prone areas. Wow, you can pay to

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Speaker 1: get your own fire hydrant. Yeah, essentially, And you got

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Speaker 1: one hundred foot fire hoses, the real fire hoses and

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Speaker 1: protective gear. And if you're in Malibu, for instance, you

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Speaker 1: spend a home seventy five k on this system, the

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Speaker 1: fire starts, you're going to keep your house from burning down?

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Speaker 2: You hold, well, you got a five million dollar house.

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Speaker 2: It makes sense to have that as one of the perks. Yeah, right, interesting.

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Speaker 1: Armstrong and Getty.

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Speaker 8: People are not thrilled with the Altoona McDonald's employees who

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Speaker 8: mickfingered him. Several nasty Google reviews have been left of

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Speaker 8: the Altoona location, including they got rats behind the counter,

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Speaker 8: do not recommend, while many other simply lift one star

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Speaker 8: reviews citing bad service and so called snitches. You know

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Speaker 8: what they say, snitches get filet.

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Speaker 1: Of fishes, Michael play thirty three and thirty four back

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Speaker 1: to back for us would be so kind.

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Speaker 9: Manzoni's case has become a cause, with admirers posting videos

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Speaker 9: on Instagram. A social media profile gained hundreds of thousands

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Speaker 9: of followers after his arrest, and the police department that

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Speaker 9: arrested Manzoni.

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Speaker 2: Has been brettoned.

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Speaker 9: His lawyer's office has been inundated with calls from people

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Speaker 9: offering to pay his legal bills.

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Speaker 10: It's not only in the digital world. We saw a

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Speaker 10: lookalike contest in New York. People are selling things or

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Speaker 10: we're selling things with Manngoni's image on Etsy.

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Speaker 1: And with the whole denied delay defend or the depose

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Speaker 1: variation that this murderer came up with in the response

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Speaker 1: to It's been very, very odd and troubling. And you

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Speaker 1: want to ask these people, all right, the CEOs of

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Speaker 1: what other industries and how many of them including women,

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Speaker 1: how about minorities? Do they all get murdered? If you

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Speaker 1: don't like their company's polls, oil companies, perhaps, I don't know,

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Speaker 1: tobacco carmakers, and nobody seems to have an answer for that.

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Speaker 1: You know, it occurred to me, Jack, just now, as

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Speaker 1: I was thinking about this, I wonder how much of

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Speaker 1: this is that such a high percentage of our interactions

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Speaker 1: with any human beings are third hand via the inner

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Speaker 1: and so they don't seem like real human beings at all.

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Speaker 1: You get a character on TV got gunned down. Oh

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Speaker 1: I'm still in Manhattan. Absolutely, it's not a real human being.

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Speaker 1: It's just a TV show.

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Speaker 2: Well, and then if you combine the coin of the

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Speaker 2: realm in twenty twenty four, for communication is just over

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Speaker 2: the top. I mean, that's just the way we all

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Speaker 2: talk now, at least online. That's the way people talk. Certainly,

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Speaker 2: it's so over the top. Maybe those two things coming together,

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Speaker 2: I mean, do people mean this as we As we've

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Speaker 2: experienced before, we've had some situations with some really nasty

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Speaker 2: textures emails who were violently threatened, and we turn it

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Speaker 2: over to cops or investigators or something like that, and

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Speaker 2: as soon as there's any pushback whatsoever there, Oh, I know,

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Speaker 2: I don't mean you that I love the show.

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Speaker 1: Yeah, yeah, it's amazing about face Michael when we're montage.

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Speaker 1: If you would clip number thirty eight, this is you know,

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Speaker 1: media and social media reactions.

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Speaker 11: I do believe in the sanctity of life, and I

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Speaker 11: think that's why I felt, along with so many other

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Speaker 11: Americans joy unfortunately, you know, because seriously, I mean execution.

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Speaker 11: Maybe not joy, but certainly not no, certainly not empathy.

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Speaker 7: A reaction not of universal horror that a fifty year

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Speaker 7: old father of two and husband was shot dead in public,

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Speaker 7: but rather of and I don't want to call it glee,

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Speaker 7: but let's just say not unhappiness.

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Speaker 12: Some of the comments were thoughts and deductibles to the family.

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Speaker 12: One of the comments was, unfortunately, my condolences are out

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Speaker 12: of network, and so I think it really isn't that something.

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Speaker 12: I really think it's reflective about how people are feeling

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Speaker 12: about their healthcare.

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Speaker 2: Well, you are twisted. If you throughout the word joy,

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Speaker 2: you're a sick human being. Yeah.

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Speaker 1: That was Taylor Lorenz on Piers Morgan. And she is

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Speaker 1: absolutely a sick human being. She is a twisted you

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Speaker 1: know what. She is very much of cut from the

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Speaker 1: same cloth as the killer. I don't see her killing anybody.

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Speaker 1: But she is the over educated progressive who is so

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Speaker 1: one hundred percent convinced of her own rightness that she

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Speaker 1: believes people can be hurt, silence, jailed, whatever if they dare.

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Speaker 2: Disagree with her. Her COVID record is unforgivable.

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Speaker 1: Especially because that big five hundred page report just came

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Speaker 1: out and said that virtually everything they did which were

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Speaker 1: saying was wrong at the time was wrong, including the

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Speaker 1: shutdowns and the stupid masks and the schools being closed. Unforgivable,

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Speaker 1: even without getting into the complications of health insurance and

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Speaker 1: the government's role and what would you replace it with

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Speaker 1: and all.

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Speaker 2: That sort of stuff. How could you possibly think that

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Speaker 2: a society where you're okay with gunning people down that

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Speaker 2: you disagree with would never work right? It would fall

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Speaker 2: apart immediately. Hey, guess what, Taylor Lorenz, There's people who

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Speaker 2: think you're bad, so they'd gun you down. You moron.

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Speaker 2: I mean, how do you not understand that?

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Speaker 8: Oh you could.

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Speaker 1: You could absolutely make a coherent argument that Taylor Lorenz

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Speaker 1: was a prominent force in keeping kids out of schools,

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Speaker 1: and a lot of those kids are either miserable, fallen behind,

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Speaker 1: have psychological problems or committed suicide. So you know, I

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Speaker 1: would never make that argument because it's abhorrent, but it

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Speaker 1: could be made that she is so evil dot dot

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Speaker 1: dot if you live in that society.

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Speaker 2: Uh, you know, let's go ahead.

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Speaker 1: She was on Piers Morgan and he was trying to

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Speaker 1: like get coherent answers out of her.

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Speaker 2: And she's occurred to me a lot of that crowd

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Speaker 2: probably uh vehemently anti capital punishment.

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Speaker 1: Also, Oh yeah, yeah, good point, good point, but pro abortion.

440
00:23:46,640 --> 00:23:49,040
Speaker 1: So give us forty you're gonna you've heard part of

441
00:23:49,040 --> 00:23:49,720
Speaker 1: this already.

442
00:23:50,280 --> 00:23:52,280
Speaker 11: I do believe in the sanctity of life, and I

443
00:23:52,280 --> 00:23:55,040
Speaker 11: think that's why I felt, along with so many other

444
00:23:55,080 --> 00:23:58,679
Speaker 11: Americans joy unfortunately, you know, because.

445
00:24:00,440 --> 00:24:04,000
Speaker 13: I mean joy execution should they will be killed, these

446
00:24:04,000 --> 00:24:05,000
Speaker 13: healthcare executives.

447
00:24:05,119 --> 00:24:06,640
Speaker 6: Would that make you even more joyful?

448
00:24:07,600 --> 00:24:13,879
Speaker 11: I know that would not, and I think because yours,

449
00:24:14,200 --> 00:24:14,760
Speaker 11: because it does, It.

450
00:24:14,800 --> 00:24:15,399
Speaker 6: Wouldn't fix you.

451
00:24:15,520 --> 00:24:16,920
Speaker 2: See, to find the whole thing there is.

452
00:24:18,040 --> 00:24:19,920
Speaker 11: I find your question must.

453
00:24:19,720 --> 00:24:21,639
Speaker 6: Be murdered in the straight. I don't find it funny.

454
00:24:21,640 --> 00:24:25,560
Speaker 2: I don't That's a very good question from Meerce Margan,

455
00:24:25,600 --> 00:24:28,520
Speaker 2: who I generally find annoying, but that's a very good question.

456
00:24:28,680 --> 00:24:32,159
Speaker 2: So if more were killed, would that make you more joyful? Well, no,

457
00:24:32,240 --> 00:24:36,400
Speaker 2: of course not. Well why not, dude? Come on, lay

458
00:24:36,400 --> 00:24:38,480
Speaker 2: out your logic for me here. Why do you feel

459
00:24:38,640 --> 00:24:41,240
Speaker 2: no one was shot, not killed, but just blinded. Now,

460
00:24:41,359 --> 00:24:42,320
Speaker 2: how joyful would that make?

461
00:24:42,359 --> 00:24:42,399
Speaker 5: It?

462
00:24:42,480 --> 00:24:45,119
Speaker 2: Kind of medium joyful? And you know, just because I

463
00:24:45,119 --> 00:24:46,720
Speaker 2: thought of the capital punishment thing, I'd like to hit

464
00:24:46,800 --> 00:24:48,360
Speaker 2: joy read with that. Orever, how do you feel about

465
00:24:48,400 --> 00:24:50,359
Speaker 2: I guarantee is she's against capital punch of men. So

466
00:24:50,359 --> 00:24:54,040
Speaker 2: people who have been convicted of a heinous murder, gone

467
00:24:54,040 --> 00:24:56,680
Speaker 2: through all the you know, appeals and all that sort

468
00:24:56,680 --> 00:25:02,040
Speaker 2: of stuff, put to death. Wrong, random killing on the

469
00:25:02,040 --> 00:25:05,520
Speaker 2: street because you don't agree with the policy. Correct. Okay,

470
00:25:05,560 --> 00:25:07,359
Speaker 2: Now you explain to me how that makes sense in

471
00:25:07,400 --> 00:25:10,679
Speaker 2: your worldview. And these people are our moral betters, by

472
00:25:10,720 --> 00:25:13,080
Speaker 2: the way. They're constantly explaining to us what's right and

473
00:25:13,080 --> 00:25:18,080
Speaker 2: what's wrong. One more clip of the utterly soulless, gutless,

474
00:25:18,119 --> 00:25:20,679
Speaker 2: brainless Taylor Lorenz and Peers Morgan.

475
00:25:21,359 --> 00:25:24,119
Speaker 11: Now, I want to fix the system. You're right, we

476
00:25:24,160 --> 00:25:27,959
Speaker 11: shouldn't be going around shooting each other with vigilante justice. No,

477
00:25:28,680 --> 00:25:30,720
Speaker 11: I think that it is a good thing. That this

478
00:25:30,800 --> 00:25:34,600
Speaker 11: murder has led to America. Really the media elites and

479
00:25:34,880 --> 00:25:37,679
Speaker 11: politicians in this country paying attention to this issue. For

480
00:25:37,720 --> 00:25:41,359
Speaker 11: the first time. You mentioned you couldn't understand why somebody

481
00:25:41,440 --> 00:25:44,920
Speaker 11: would feel this reaction when they watched a CEO die.

482
00:25:45,160 --> 00:25:48,000
Speaker 11: It's because you have not dealt it sounds like with

483
00:25:48,080 --> 00:25:50,280
Speaker 11: the American healthcare system in the way that millions of

484
00:25:50,320 --> 00:25:51,119
Speaker 11: other Americans have.

485
00:25:51,400 --> 00:25:54,800
Speaker 13: I've doubled the healthcare system in various ways in America.

486
00:25:54,960 --> 00:25:56,840
Speaker 6: I don't think it's perfect by any means. But the

487
00:25:56,880 --> 00:25:59,800
Speaker 6: idea that I would view it as something.

488
00:26:01,160 --> 00:26:03,520
Speaker 13: The idea that I would view it as something joyful.

489
00:26:04,119 --> 00:26:06,639
Speaker 13: The the man has been he's just a healthcare executive

490
00:26:06,760 --> 00:26:09,640
Speaker 13: has been executed in the street, I find completely bizarre.

491
00:26:09,760 --> 00:26:12,320
Speaker 6: Okay, so don't say I'm joyful. I said, I said

492
00:26:12,359 --> 00:26:14,000
Speaker 6: you would. You said you were feeling joyful.

493
00:26:15,000 --> 00:26:17,840
Speaker 11: Yeah, I take that back. Joyful is the wrong word here,

494
00:26:18,359 --> 00:26:19,080
Speaker 11: I said as I.

495
00:26:19,840 --> 00:26:22,440
Speaker 6: Yeah, you think is the wrong wood.

496
00:26:22,760 --> 00:26:28,439
Speaker 11: Yeah, indicated celebratory, because again, it feels like justice in

497
00:26:28,520 --> 00:26:31,600
Speaker 11: this system when somebody responsible for the deaths of tens

498
00:26:31,600 --> 00:26:34,760
Speaker 11: of thousands of Americans suffers the same fate as those

499
00:26:34,760 --> 00:26:37,119
Speaker 11: tens of thousands of Americans he murdered.

500
00:26:38,119 --> 00:26:40,840
Speaker 2: H that I never brought this up the other day.

501
00:26:41,000 --> 00:26:43,119
Speaker 2: Maybe I should find it on my phone, So that

502
00:26:43,200 --> 00:26:46,480
Speaker 2: tens of thousands of Americans, there's a number going around

503
00:26:46,560 --> 00:26:49,240
Speaker 2: sixty eight thousand. It comes from a wacky study by

504
00:26:49,359 --> 00:26:52,679
Speaker 2: wacky people that exaggerates all kinds of things, includes all

505
00:26:52,760 --> 00:26:54,560
Speaker 2: kinds of things that don't fit in as often as

506
00:26:54,600 --> 00:26:58,000
Speaker 2: the case wise damn lies and statistics. So that's where

507
00:26:58,040 --> 00:27:02,520
Speaker 2: that argument comes from. Not that that would make any

508
00:27:02,560 --> 00:27:03,600
Speaker 2: sense anyway.

509
00:27:03,880 --> 00:27:09,800
Speaker 1: Right, And then juxtaposing the healthcare CEO murder with the

510
00:27:09,840 --> 00:27:13,000
Speaker 1: other big high profile guy who died story, and that

511
00:27:13,000 --> 00:27:19,320
Speaker 1: would be the the Penny Subway vigilante defending the innocent

512
00:27:19,520 --> 00:27:22,800
Speaker 1: guy ends up dead. I'm not going to call it

513
00:27:22,800 --> 00:27:25,000
Speaker 1: a murder like Al Sharpton and his folks are, but

514
00:27:25,640 --> 00:27:26,439
Speaker 1: place forty two.

515
00:27:26,560 --> 00:27:29,720
Speaker 7: This is on CNN Penny and the verdict there there

516
00:27:29,760 --> 00:27:34,359
Speaker 7: you also have a victim who somebody determined did not deserve.

517
00:27:35,840 --> 00:27:36,879
Speaker 12: To continue living.

518
00:27:37,160 --> 00:27:38,679
Speaker 2: No, no, no, yeah, tell me.

519
00:27:38,880 --> 00:27:42,320
Speaker 7: Tell me which tell me which vigilante action is okay?

520
00:27:42,840 --> 00:27:44,879
Speaker 2: On is one is being proactive?

521
00:27:44,960 --> 00:27:45,120
Speaker 4: Right?

522
00:27:45,160 --> 00:27:49,360
Speaker 7: So this kid who executed someone executed a guy walking

523
00:27:49,600 --> 00:27:50,560
Speaker 7: away from him.

524
00:27:50,359 --> 00:27:52,200
Speaker 2: Shot him in the back shot him in the for

525
00:27:52,240 --> 00:27:55,520
Speaker 2: no reason whatsoever. Daniel Penny is a hero.

526
00:27:56,880 --> 00:27:59,000
Speaker 1: This CNN panelist, and I wish i'd bother to get

527
00:27:59,000 --> 00:28:01,880
Speaker 1: her name. Was trying to suggest that, Hey, they're both

528
00:28:01,960 --> 00:28:04,640
Speaker 1: vigilantic killings, and you're saying one's right and one's wrong.

529
00:28:04,800 --> 00:28:07,880
Speaker 2: Where do you get off? Precisely where I get off?

530
00:28:07,920 --> 00:28:08,840
Speaker 2: And how I say that?

531
00:28:09,840 --> 00:28:10,600
Speaker 1: Wow?

532
00:28:11,359 --> 00:28:12,800
Speaker 2: Yeah, yeah, I tell you what.

533
00:28:13,560 --> 00:28:16,240
Speaker 1: Every time CNN does some pretty good reporting, like Clarissa

534
00:28:16,320 --> 00:28:20,639
Speaker 1: Ward's been terrific, for instance, they turn around and do

535
00:28:20,680 --> 00:28:22,879
Speaker 1: something like that, and I think they should just be unplugged.

536
00:28:23,560 --> 00:28:27,200
Speaker 1: But anyway, I yeah, just yank the court on CNN.

537
00:28:27,359 --> 00:28:31,560
Speaker 1: They're losing money anyway, nobody watches it. They suck anyway. Uh,

538
00:28:31,800 --> 00:28:34,359
Speaker 1: Jake Tapper would make a fine assistant manager of pet

539
00:28:34,359 --> 00:28:35,080
Speaker 1: food stores.

540
00:28:35,200 --> 00:28:35,760
Speaker 2: Wow?

541
00:28:36,400 --> 00:28:41,840
Speaker 1: Yeah, jo Getty's fitting fire no even bombs, truth bombs

542
00:28:41,920 --> 00:28:45,440
Speaker 1: right and left. We need to develop, And I wonder

543
00:28:45,440 --> 00:28:50,400
Speaker 1: if the kids have this already new vernacular for like

544
00:28:50,520 --> 00:28:54,200
Speaker 1: that freaking moron Taylor Lorenz, who I've just just despised

545
00:28:54,200 --> 00:28:58,680
Speaker 1: for years in a very inside media way. Most people

546
00:28:58,760 --> 00:29:00,640
Speaker 1: have never heard of her, and good life is better

547
00:29:00,680 --> 00:29:01,040
Speaker 1: for it.

548
00:29:03,560 --> 00:29:04,960
Speaker 2: But do the kids already have.

549
00:29:04,960 --> 00:29:08,080
Speaker 1: An expression for you know, somebody says, I think that

550
00:29:08,120 --> 00:29:11,400
Speaker 1: guy ought to be shot? Do you really mean that? No,

551
00:29:11,640 --> 00:29:16,560
Speaker 1: I internet mean it. I just mean it on internet level.

552
00:29:16,320 --> 00:29:19,320
Speaker 2: That guy should realize that guy should low key be shot.

553
00:29:20,040 --> 00:29:26,280
Speaker 1: Right, Yeah, yeah, that's that's a similar Yeah.

554
00:29:26,360 --> 00:29:30,000
Speaker 2: I don't know, but as you heard, they're drilled down

555
00:29:30,000 --> 00:29:31,880
Speaker 2: a little bit. Those people seem to mean it. I

556
00:29:31,880 --> 00:29:33,960
Speaker 2: don't know how many people online mean it, but those

557
00:29:34,080 --> 00:29:37,640
Speaker 2: those panelists meant it. Yeah, whether it was the joy

558
00:29:37,760 --> 00:29:40,200
Speaker 2: or where do you draw the line between vigilanti justice?

559
00:29:40,200 --> 00:29:42,800
Speaker 2: What are you talking about it? How stupid are you?

560
00:29:43,000 --> 00:29:45,680
Speaker 2: These are apples and refrigerators as a come you know,

561
00:29:45,760 --> 00:29:47,640
Speaker 2: as a comparison. Yeah.

562
00:29:47,720 --> 00:29:50,000
Speaker 1: Yeah, And I think it probably all boils down to

563
00:29:50,040 --> 00:29:52,720
Speaker 1: what's making so many of people miserable, including the kids,

564
00:29:52,720 --> 00:29:55,040
Speaker 1: and that is that, in a very very short span

565
00:29:55,080 --> 00:29:57,360
Speaker 1: of time, we as human beings have gone from every

566
00:29:57,400 --> 00:30:01,280
Speaker 1: single interaction is in person with a flesh and blood

567
00:30:01,320 --> 00:30:04,360
Speaker 1: human being, with the rare exception of maybe you got

568
00:30:04,360 --> 00:30:10,640
Speaker 1: a letter from somebody, to now ninety percent of your

569
00:30:10,680 --> 00:30:15,400
Speaker 1: interactions are not in person with an air breathing homo sapien.

570
00:30:15,640 --> 00:30:19,360
Speaker 1: They're online, They're electronic, and therefore the killing of one

571
00:30:19,360 --> 00:30:21,800
Speaker 1: of those human beings doesn't mean anything to you. They're

572
00:30:21,800 --> 00:30:24,560
Speaker 1: an abstraction. They're not a human being. They're a video

573
00:30:24,640 --> 00:30:25,480
Speaker 1: of a human being.

574
00:30:27,920 --> 00:30:29,840
Speaker 2: Before we go to break, I'm not going to explain this.

575
00:30:29,920 --> 00:30:32,080
Speaker 2: You either understand it or you don't. Did you hear

576
00:30:32,160 --> 00:30:37,080
Speaker 2: that former Patriots coach Bill Belichick might take the job

577
00:30:37,480 --> 00:30:44,440
Speaker 2: coaching at North Carolina. The joke is it's will help

578
00:30:44,480 --> 00:30:54,560
Speaker 2: his girlfriend with admissions. She's youthful. Youthful, that's then fifty

579
00:30:54,680 --> 00:30:58,160
Speaker 2: year age gap in that relationship. He started dating a cheerleader.

580
00:30:58,200 --> 00:31:01,400
Speaker 2: He's in his mid seventies, she's in her twenties. He's

581
00:31:01,400 --> 00:31:05,080
Speaker 2: a very young seventy five. Okay, we got more on

582
00:31:05,080 --> 00:31:08,280
Speaker 2: the way. You can text us anytime four nine five KFTC.

583
00:31:11,640 --> 00:31:13,040
Speaker 2: I love company holiday parties.

584
00:31:13,080 --> 00:31:15,160
Speaker 5: You get to be with people that you work with

585
00:31:15,240 --> 00:31:18,600
Speaker 5: all day long for more hours, and you get to

586
00:31:18,640 --> 00:31:21,240
Speaker 5: say I love your ugly Christmas sweater and they're like,

587
00:31:21,360 --> 00:31:23,920
Speaker 5: that's just my sweater. And you get to be like, hey,

588
00:31:23,920 --> 00:31:26,200
Speaker 5: remind me, do you go buy Steve or Steven?

589
00:31:26,720 --> 00:31:27,920
Speaker 2: And he's like it's Mark.

590
00:31:28,480 --> 00:31:31,160
Speaker 5: And your boss tries to crack a joke and everyone

591
00:31:31,200 --> 00:31:36,200
Speaker 5: around them does the employment laughter like, and you get

592
00:31:36,240 --> 00:31:39,040
Speaker 5: to say no work talk, and then you realize that

593
00:31:39,120 --> 00:31:41,240
Speaker 5: you have nothing to talk about, and you get to

594
00:31:41,280 --> 00:31:43,600
Speaker 5: station yourself right in front of the food platter so

595
00:31:43,640 --> 00:31:45,000
Speaker 5: that if you don't want to talk to the person

596
00:31:45,120 --> 00:31:47,320
Speaker 5: standing in front of you anymore, you just shove something

597
00:31:47,360 --> 00:31:48,959
Speaker 5: into your mouth. And at the end of the night

598
00:31:49,000 --> 00:31:51,200
Speaker 5: you get to do an Irish exit where everyone's like,

599
00:31:51,200 --> 00:31:52,960
Speaker 5: where's Paul's he getting us drinks up at the bar?

600
00:31:53,280 --> 00:31:59,720
Speaker 2: Nope, Paul's at home. I have had a great, great

601
00:31:59,800 --> 00:32:03,240
Speaker 2: time time at many a company Christmas party in my life,

602
00:32:03,440 --> 00:32:07,680
Speaker 2: like great time. I don't know who started the idea

603
00:32:07,720 --> 00:32:11,560
Speaker 2: that they're miserable, and then of course the trend toward well,

604
00:32:11,600 --> 00:32:13,960
Speaker 2: we can't have them anymore because all the awful things

605
00:32:13,960 --> 00:32:17,360
Speaker 2: that happened. What I went to a million Christmas parties

606
00:32:17,560 --> 00:32:20,480
Speaker 2: one time, something bad happened and everybody's better for it

607
00:32:20,560 --> 00:32:24,560
Speaker 2: having happened. It was hilarious. Yeah, I suppose so.

608
00:32:24,760 --> 00:32:31,400
Speaker 1: Yeah, they ranged from great to okay? Were you hammered

609
00:32:31,680 --> 00:32:34,200
Speaker 1: at some of them? Most of them that were great?

610
00:32:34,240 --> 00:32:34,680
Speaker 1: Do you think?

611
00:32:35,240 --> 00:32:38,080
Speaker 2: Oh? I'm sure I was, But they but they used

612
00:32:38,080 --> 00:32:40,280
Speaker 2: to throw a lot of places. I worked through real

613
00:32:40,360 --> 00:32:43,000
Speaker 2: Christmas parties like nice restaurant, nicer than I would have

614
00:32:43,040 --> 00:32:45,160
Speaker 2: gone to on my own, with nicer drinks than I

615
00:32:45,200 --> 00:32:46,959
Speaker 2: was going to get on my own. And then that,

616
00:32:47,320 --> 00:32:51,360
Speaker 2: at least in our industry, dribbled away over time, and

617
00:32:51,400 --> 00:32:54,840
Speaker 2: then hold that whole ridiculousness of it's just too dangerous

618
00:32:54,840 --> 00:32:57,640
Speaker 2: with people getting out of hand and the sexual harassment,

619
00:32:58,000 --> 00:33:03,600
Speaker 2: really liability blah blah. Right, so that choked it out.

620
00:33:04,160 --> 00:33:06,360
Speaker 2: I just happened to run into somebody twice this week,

621
00:33:06,400 --> 00:33:09,000
Speaker 2: two different people who had real company Christmas parties, and

622
00:33:09,040 --> 00:33:12,080
Speaker 2: I thought, Okay, those still exist certain certain industries. That's

623
00:33:12,160 --> 00:33:14,920
Speaker 2: nice to hear. Yeah, and you get to see your

624
00:33:14,960 --> 00:33:17,240
Speaker 2: co workers in a completely different setting and meet their

625
00:33:17,280 --> 00:33:20,800
Speaker 2: families and have some human relationship with them. That helps

626
00:33:20,800 --> 00:33:25,360
Speaker 2: the business. It helps the business, it really does. Yeah. Yep.

627
00:33:26,960 --> 00:33:29,240
Speaker 2: A couple of things for you. Rob Schneider, you know

628
00:33:29,360 --> 00:33:31,400
Speaker 2: Rob Schneider from Sarah Ive way back in the day,

629
00:33:31,600 --> 00:33:34,200
Speaker 2: making copies, the copy of Guy, and then his friends

630
00:33:34,200 --> 00:33:35,880
Speaker 2: with Adam Sandler, so Adam Sandler put him in a

631
00:33:35,880 --> 00:33:38,400
Speaker 2: whole bunch of his movies, so that helped make him richer. Also,

632
00:33:38,680 --> 00:33:41,480
Speaker 2: Rob Schneider announced he's launching a new all woman talk

633
00:33:41,560 --> 00:33:44,479
Speaker 2: show which will be the opposite of the view and

634
00:33:44,520 --> 00:33:46,760
Speaker 2: will not shame people for their politics. It's supposed to

635
00:33:46,760 --> 00:33:49,280
Speaker 2: be an all inclusive they actually have different points of

636
00:33:49,360 --> 00:33:51,360
Speaker 2: view The view Well, I love that.

637
00:33:51,440 --> 00:33:54,200
Speaker 1: Rob Schneider's a really interesting guy. He's a solid thinker.

638
00:33:54,400 --> 00:33:55,800
Speaker 1: He active presence online.

639
00:33:56,200 --> 00:33:58,640
Speaker 2: Search him and Bill Maher as he sat in Bill

640
00:33:58,680 --> 00:34:00,360
Speaker 2: Maher's basement and talked for like an hour and a

641
00:34:00,360 --> 00:34:02,479
Speaker 2: half about politics a couple weeks ago is really interesting.

642
00:34:04,000 --> 00:34:06,000
Speaker 2: The Lincoln Project, which I like to bring up just

643
00:34:06,000 --> 00:34:07,840
Speaker 2: because I hate those people so much, is a bunch

644
00:34:07,840 --> 00:34:12,040
Speaker 2: of Republican hacks who decided to be anti Trump and

645
00:34:12,120 --> 00:34:14,120
Speaker 2: run a scam to make money, and a whole bunch

646
00:34:14,160 --> 00:34:16,640
Speaker 2: of you probably are anti Trump, probably gave him money.

647
00:34:17,280 --> 00:34:20,399
Speaker 2: Never Trump. Lincoln Project paid millions in twenty twenty four

648
00:34:20,440 --> 00:34:25,400
Speaker 2: to companies owned by themselves. Shocking. Oh wow, that's weird.

649
00:34:27,719 --> 00:34:29,719
Speaker 2: So much of politics you really need to spend a

650
00:34:29,719 --> 00:34:32,839
Speaker 2: lot of time on any charity or political group of

651
00:34:32,880 --> 00:34:36,239
Speaker 2: any kind to figure out if they're doing what you

652
00:34:36,360 --> 00:34:38,560
Speaker 2: think they're doing with your money, because they appeal to

653
00:34:38,600 --> 00:34:40,759
Speaker 2: your emotion and then they keep a lot of it.

654
00:34:40,760 --> 00:34:44,440
Speaker 2: Whether it's Black Lives Matter, the Lincoln project, Al Sharpton,

655
00:34:44,520 --> 00:34:46,280
Speaker 2: what he's trying to do for the guy that dangle,

656
00:34:46,320 --> 00:34:48,520
Speaker 2: penny choked or whatever.

657
00:34:49,239 --> 00:34:51,680
Speaker 1: So many of the packs that ask for your money,

658
00:34:51,719 --> 00:34:54,719
Speaker 1: because if you're with Trump like we are, if you

659
00:34:54,760 --> 00:34:57,520
Speaker 1: think Trump is hitler like we do, give twenty dollars

660
00:34:57,560 --> 00:35:00,920
Speaker 1: now and all the relatives on the payroll and they

661
00:35:00,960 --> 00:35:01,560
Speaker 1: all get rich.

662
00:35:02,200 --> 00:35:06,200
Speaker 2: Yeah, this is too long. Better save that for next hour.

663
00:35:06,360 --> 00:35:08,680
Speaker 2: Next hour, you say there's another hour, You're darn right

664
00:35:08,680 --> 00:35:10,920
Speaker 2: there is. We do four hours every single day. Are

665
00:35:11,000 --> 00:35:13,160
Speaker 2: you sure? If you missed it, you eet the podcast

666
00:35:13,239 --> 00:35:17,240
Speaker 2: Armstrong and getting on demand. Go into an all Spanish

667
00:35:17,400 --> 00:35:20,880
Speaker 2: Catholic Mass tonight, which will be interesting. My son's doing it.

668
00:35:21,680 --> 00:35:24,640
Speaker 2: My son's doing it for extra credit in his Spanish class.

669
00:35:25,360 --> 00:35:27,719
Speaker 2: And I have a feeling I'll hear a lot of

670
00:35:29,200 --> 00:35:33,360
Speaker 2: Spanish Spanish Spanish Jesus, Spanish Spanish Spanish Jesus and that

671
00:35:33,760 --> 00:35:36,560
Speaker 2: a little God. See, I didn't even know that word.

672
00:35:36,600 --> 00:35:39,239
Speaker 2: I know, I know very little Spanish unless they say

673
00:35:39,320 --> 00:35:46,040
Speaker 2: casada or wow. This is heading in a really objectionable time.

674
00:35:46,800 --> 00:35:49,000
Speaker 2: For some reason. I'm not going to go. I'm not

675
00:35:49,040 --> 00:35:52,200
Speaker 2: going to understand anything other than Jess and the Lord

676
00:35:52,320 --> 00:35:53,839
Speaker 2: is the sombrero over us.

677
00:35:53,840 --> 00:35:56,720
Speaker 1: They'll be explaining in Spanish, and you'll say, wait a minute, sombrero,

678
00:35:56,760 --> 00:35:57,560
Speaker 1: I get that's good.

679
00:35:58,280 --> 00:36:02,120
Speaker 2: Uh, you gotta open Google. That's all right, Remember right,

680
00:36:02,480 --> 00:36:06,319
Speaker 2: that's not a bad idea. Actually, via con deals even

681
00:36:06,320 --> 00:36:08,280
Speaker 2: when it's in English. God, even when it's in English.

682
00:36:08,280 --> 00:36:11,080
Speaker 2: A Catholic Mass is difficult. You gotta like, look around,

683
00:36:11,400 --> 00:36:14,200
Speaker 2: we kneeling. Now we're standing up. We're not standing up,

684
00:36:14,239 --> 00:36:15,920
Speaker 2: we're standing, and.

685
00:36:16,040 --> 00:36:17,840
Speaker 1: They can tell you're an outsider. Then they give you

686
00:36:17,880 --> 00:36:18,680
Speaker 1: the hairy eyeball.

687
00:36:18,920 --> 00:36:25,080
Speaker 2: Well, you don't want that. Armstrong and Getty