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Speaker 1: Robot umpires in Major League Baseball, I think will help

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Speaker 1: lead to the fall of all mankind. Sounds drastic, but

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Speaker 1: is it really Also a No King's protest is scheduled

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Speaker 1: for tomorrow on Saturday. People from around the country will

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Speaker 1: pretend that we have a king, but then fight against it,

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Speaker 1: effectively joining the rest of us who have been living

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Speaker 1: for two hundred and fifty years in the biggest, longest,

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Speaker 1: best No Kings protest. And the disgraced former Harvard president

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Speaker 1: who resigned due to plagiarism is teaching again at the

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Speaker 1: same school. All that more coming up on this episode.

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Speaker 1: My name is Joe Bob. Thanks much for tuning in.

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Speaker 1: The show starts right now. That may have felt a

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Speaker 1: little exaggerated or extreme on the analysis of the robot umpires,

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Speaker 1: but trust me, this is actually quite interesting and I

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Speaker 1: do think it is something it is worth paying attention to. Actually,

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Speaker 1: you know, it's a Friday, a little bit more of

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Speaker 1: a cultural feel as opposed to the hard hitting news

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Speaker 1: of the day to send you on into the weekend. Actually,

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Speaker 1: maybe something to think about, especially when we look at

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Speaker 1: the technology of the day effectively taken over a lot

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Speaker 1: of human jobs. We'll get to that in just a second.

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Speaker 1: Got to remind you, tvttpusa dot com is the email address,

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Speaker 1: but let's send a on your thoughts, comments, concerns, criticisms.

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Speaker 1: They're more than welcome at TPT at tpusa dot com.

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Speaker 1: Today in our mailbag segment, I think we're gonna finally

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Speaker 1: pay off the teas from earlier this week of telling

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Speaker 1: the stories about my liberal neighbors. And maybe that'll be

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Speaker 1: an ongoing theme because we've got we live in California, Therefore,

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Speaker 1: we have lots of lib neighbors, so there's endless amounts

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Speaker 1: of hilarious interactions involving them. We'll discuss some of those

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Speaker 1: in our mailbags having under the day. But that doesn't

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Speaker 1: mean you can't send emails TPT at tpusa dot com.

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Speaker 1: And if those emails break through the noise by being nasty,

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Speaker 1: just viled, downright hateful, we actually have a better chance

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Speaker 1: of reading on the show because that's what we do here.

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Speaker 1: According to several lib outlets, also, I will in Anaheim, California,

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Speaker 1: April sixteenth, albeit the University of Idaho April twenty eighth,

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Speaker 1: if you'd like any more information on those two events,

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Speaker 1: very different events. One is account comedy show. The other

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Speaker 1: is a Turning Point USA event emailspt ATTPSA dot com

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Speaker 1: will get you some of the information that would be

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Speaker 1: necessary in order to attend those events. TPT at TPUSA

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Speaker 1: dot com. The Major League Baseball robot umpire debate has

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Speaker 1: been going on for quite some time now. Ever since

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Speaker 1: cameras were able to I don't know, get so uning

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Speaker 1: grainy whatever the become sharper, people have been complaining, hey,

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Speaker 1: this looked like a miscall from the balls and strikes.

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Speaker 1: Hey this person looked like they actually touched the bag

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Speaker 1: before the ball got to it. This whole debate has

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Speaker 1: been going on for geez, the better part of two

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Speaker 1: decades now, maybe even prior to that. But finally Major

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Speaker 1: League Baseball has made the adjustment to hey, we're not

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Speaker 1: gonna go full blown robot umpires. Instead, we're just gonna

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Speaker 1: do challenges like they do in other sports. As I

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Speaker 1: understand it, teams get two challenges per game, and if

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Speaker 1: they are right, they get to continue challenging. If they're wrong,

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Speaker 1: those challenges go away, kind of like it is in football,

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Speaker 1: kind of like the NBA has now done it. Now

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Speaker 1: you may be wondering, what does this have to do

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Speaker 1: with anything. Really, it's a sport.

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Speaker 2: It's just a.

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Speaker 1: Game, and that game is, you know, changing, which is

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Speaker 1: what happens. Yes, to an extent, there are some rule

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Speaker 1: changes that exist in sports that are just rule changes.

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Speaker 1: They're not really indicative of anything. But I honestly believe

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Speaker 1: that the replacement of human umpires actually has a bigger,

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Speaker 1: more philosophical impact than just, I don't know, a minor

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Speaker 1: baseball change. Now, we haven't done this a lot on

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Speaker 1: this show, but I actually would like to read a

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Speaker 1: lot of an article from the Wall Street Journal, their

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Speaker 1: sports reporter, a guy named Jason Gay, had a really

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Speaker 1: really brilliant piece which I think kind of better summed.

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Speaker 2: Up my opinions than she's myself.

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Speaker 1: So I'm gonna read a lot of that and we'll

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Speaker 1: interject where it is appropriate. But the point being made

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Speaker 1: here is that will balls and strikes be called quote

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Speaker 1: unquote better? Technically?

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Speaker 3: Yes?

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Speaker 1: But is that good for the game but also humanity?

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Speaker 1: My conclusions kind of no. I'm going to explain that

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Speaker 1: again through this article, but it starts off as this.

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Speaker 1: He starts this saying, look, everybody feels like they should say, yeah,

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Speaker 1: we're or for this yeah, we want the game to

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Speaker 1: be better and more official and more technical, and that

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Speaker 1: the approach to calling balls and strikes needs to be

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Speaker 1: more official. But that's not the way that I feel.

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Speaker 1: That's not the way Jason Gay feels the Wall Street Journal.

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Speaker 1: He says, it's not fun to be called a technophobe

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Speaker 1: at the Revolution. That's how you get branded as a dinosaur,

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Speaker 1: a fuddy duddy, an inhibitor to a march towards efficiency

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Speaker 1: and greatness. For the record, he writes, I like a

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Speaker 1: lot of the changes baseball's made. I like the pitch clock.

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Speaker 2: I like the pitchclock.

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Speaker 1: I'm not agast at the automatic innings extra innings runner,

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Speaker 1: which is different, but you know, helps speed up the

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Speaker 1: game just a little bit more. In other words, there

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Speaker 1: are some things that can change in the realm of sports,

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Speaker 1: but other things you may accidentally relinquish the soul of

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Speaker 1: the game. He goes on to say, this is his

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Speaker 1: first issue. Baseball is going to inevitably phase out the

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Speaker 1: plate umpire, one of the most soulful theatrical characters in

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Speaker 1: all of American sports. I know that sounds super baseball pretentious,

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Speaker 1: like he's wearing a straw hat and a bow tie,

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Speaker 1: he says, but I don't care. He quotes another guy

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Speaker 1: in his article, As Brian Walsh wrote in Vox, once

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Speaker 1: you've conceded that machines are the final authority on whether

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Speaker 1: a call is right, you've quietly eliminated the case for

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Speaker 1: having a human there at all, which is exactly correct.

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Speaker 1: Jason Gay goes on to say, pretty soon everybody is

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Speaker 1: going to be asking the obvious question. If we're relying

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Speaker 1: on the tech to make the important call, why aren't

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Speaker 1: we relying on them to make every call? If the

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Speaker 1: plate umpire goes with it goes one of baseball's most entertaining,

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Speaker 1: maddening presences, A puff chested judge and jury, a baked

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Speaker 1: in villain, an essential part of the game's pacing and flow.

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Speaker 1: How much of baseball culture revolves around the home paint

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Speaker 1: umpire a lot, he argues. Nobody screams at a digital

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Speaker 1: umpire to go to the optometrist. Norman Rockwell didn't paint

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Speaker 1: digital strike zones. Other words, you lose a fundamental part

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Speaker 1: of the game of baseball. Maybe you're not a baseball fan,

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Speaker 1: and if that's true, well, stay tuned. We'll get to

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Speaker 1: more of the human element in just a second. But

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Speaker 1: if you are a baseball fan, what are some of

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Speaker 1: the iconic moments that exist in your mind? Yes, certain

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Speaker 1: home runs happening in the World Series. Yes, Hank Aaron

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Speaker 1: running around the bases, and those two guys jumping out

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Speaker 1: of the stands to pat him on the back. But

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Speaker 1: to me, and I don't know, maybe if this says

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Speaker 1: something about my personality, one of the more fond memorable

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Speaker 1: memories that I have of baseball.

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Speaker 2: Is people getting ejected.

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Speaker 1: I used to mimic the umpire in my house, the

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Speaker 1: wind up, the throwout, get out.

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Speaker 2: Of here, you're gone.

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Speaker 1: I've seen, not necessarily entirely in my time, but Loop

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Speaker 1: penell Eclipse of getting thrown out of games, Bob Cox,

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Speaker 1: Earl Weaver, just getting tossed. That doesn't happen with a

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Speaker 1: Robe bought umpire where you can't argue over balls or

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Speaker 1: strikes because the system and the computer have technically made

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Speaker 1: it all accurate. What I'm saying is will the calls,

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Speaker 1: I guess, quote unquote get better? Yeah, but will eliminate

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Speaker 1: one of the most fundamental human elements of the game?

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Speaker 3: Also? Yes?

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Speaker 2: And is that worth it?

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Speaker 1: Baseball has been described as tradition disguised as a game,

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Speaker 1: which is one hundred percent true, and in a society

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Speaker 1: where we are unfortunately losing tradition after tradition after tradition,

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Speaker 1: we are seeing the ramifications of that. If the tradition

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Speaker 1: of baseball, which again is disguised as a game, continues

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Speaker 1: to lose its own human elements, unfortunately, that'll just be

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Speaker 1: another component of society being lost by way of losing

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Speaker 1: the tradition that we once held. So dear Jason Gate

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Speaker 1: continues that is second points is the trickle down effect.

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Speaker 1: It's going to be grim. One of the most pernicious

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Speaker 1: side effects of video review challenge culture is going to

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Speaker 1: be its effect on school and youth sports at the

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Speaker 1: highest level. We've reinforced the idea that every call is important,

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Speaker 1: or worse, that the standard should be one hundred percent accuracy,

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Speaker 1: when not even the robots themselves are going to be

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Speaker 1: one hundred percent accuracy. He says.

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Speaker 4: This.

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Speaker 1: The pursuit of perfection flies in the face of critical

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Speaker 1: lessons that sports should teach, which is, in competition, stuff happens.

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Speaker 1: Sometimes people get it right, sometimes people get it wrong,

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Speaker 1: but eventually it all evens out, which if I were

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Speaker 1: to interject, would say that's also just a life lesson. Sports,

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Speaker 1: in so many ways teach the youth, teach kids what

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Speaker 1: life is like. Sometimes things go your way, sometimes they don't.

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Speaker 1: Sometimes you put every single drop of effort that you

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Speaker 1: you have into this pursuit, and sometimes it doesn't work out.

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Speaker 1: In sports, you're allowed to regulate your emotions based on

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Speaker 1: things that aren't exactly and entirely in your control, which.

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Speaker 2: Is exactly how life is.

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Speaker 1: Through sports, I and hopefully you, maybe you people that

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Speaker 1: you know, have learned that sometimes things just don't go

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Speaker 1: your way, and learning how to deal with that is

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Speaker 1: a much more important lesson than any lesson that you

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Speaker 1: could learn through a textbook. Sports does that in a

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Speaker 1: very very real way. And if everything is based on

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Speaker 1: the one hundred percent technicalities, where there's no arguing on

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Speaker 1: whether it's right or wrong, or technically a strike technically

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Speaker 1: a ball, it eliminates the ability for the kid, for

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Speaker 1: the play or whatever age they are, to.

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Speaker 2: Have an opportunity to be able.

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Speaker 1: To regulate the emotions that exist not only just in sports,

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Speaker 1: but throughout life in general. Gay goes on to continue saying,

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Speaker 1: learning to accept the rhythm of this is a critical

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Speaker 1: part of being an adult, which is exactly correct perfectionism

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Speaker 1: Also reeks in gambling culture. Sports have allowed their most

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Speaker 1: inconsequential moments to be commodified into betting opportunities with already

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Speaker 1: perilous results. If money is on the line, nobody is

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Speaker 1: interested in the rhythms of something. Sometimes it's right, sometimes

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Speaker 1: it's wrong. I can go on a whole screed about

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Speaker 1: gambling here, but the fact that you can gamble on

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Speaker 1: balls and strikes in a particular inning of a particular

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Speaker 1: game is effectively, in a lot of ways necessitated the

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Speaker 1: complete one hundred percent total accuracy from robot umpires. And

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Speaker 1: if that's the case, then you've eliminated, like I said,

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Speaker 1: the human component, which you know, one can draw the

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Speaker 1: conclusion gambling is going to be a net negative.

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Speaker 2: Is it a freedom?

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Speaker 1: Yeah technically, But should it be done at the cost

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Speaker 1: of relinquishing the human component of one of America's most

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Speaker 1: valued traditions.

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Speaker 2: I don't know. Probably not.

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Speaker 1: And this again is just one instance. Get goes on

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Speaker 1: to continue the last point that he makes, and I

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Speaker 1: think this is the most important one here. It says

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Speaker 1: this sports underestimates their human element element in many cases,

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Speaker 1: the ticks and oddities that make them the unique, the

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Speaker 1: fact that the strike zone was not static, that it

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Speaker 1: changed umpire to umpire, changed batter to batter, changed sometimes

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Speaker 1: picture to pictcher, depending on how much of the ball.

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Speaker 1: There's a lot of different variables. The fact that those

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Speaker 1: things were in existence was one of those ticks of life,

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Speaker 1: one of those things that weren't exactly static. Now Baseball

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Speaker 1: has coldly defined the strike zone as seventeen inches of

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Speaker 1: the plate, with eight inches eight and a half inches

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Speaker 1: of plate depth depth passing through fifty three point five

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Speaker 1: and twenty seven percent of the heights, which again is

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Speaker 1: a very technical term that is not you know, doesn't

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Speaker 1: it's not entirely necessary to understand specifically what that means.

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Speaker 1: It's a percentage of the height of the batter, the

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Speaker 1: plate depth, all that sort of stuff. But more broadly speaking,

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Speaker 1: he's talking about the very very specific technical grounds of

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Speaker 1: which balls and strikes can be called. He goes on

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Speaker 1: to say, well, what's the big deal. Almost every sport

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Speaker 1: has electronic reviews. Why worry about the occasional clarification from

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Speaker 1: the robot umpire. Tennis has moved away from line judges

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Speaker 1: and the planet did not stop spinning, which very very

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Speaker 1: short side note. Name a tennis player in your head,

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Speaker 1: I you're not a tennis fan. Name a tennis player,

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Speaker 1: and why is that tennis player John McEnroe? And why

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Speaker 1: do you only know John McEnroe from his famous outbursts

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Speaker 1: against the line judges. But the small side point he says,

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Speaker 1: I'm probably not going to notice ABS, which is the

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Speaker 1: new robotic balls and strike calling system. He's probably not

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Speaker 1: going to notice it after a few months. Still in

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Speaker 1: our endless chase of machined refinement, I think we're missing

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Speaker 1: the value of human irregularity. This is something that gets

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Speaker 1: lost in the conversation about AI and create creativity. There's

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Speaker 1: little doubt that AI can capably produce content, but it

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Speaker 1: also introduces a sameness, effectively a monotony, a homogeneity in

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Speaker 1: which nothing is too good and nothing is too bad.

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Speaker 1: In outsourcing the human, it strips out the soul that

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Speaker 1: connects with the audience. I'm not saying there's virtue in

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Speaker 1: an umpire being wrong. He's just saying there's perfection that

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Speaker 1: might be overrated. Here's what I can basically boil this

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Speaker 1: down to imagine your grandmother or your mom's signature meal,

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Speaker 1: the meal that you looked forward to every Easter, Thanksgiving,

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Speaker 1: or even just every Sunday that you were just excited

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Speaker 1: about Grandma's home cooking. Mom's home cooking. Technically speaking, every

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Speaker 1: single ingredient, every single process of that meal can be

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Speaker 1: mimicked by a machine, and ask yourself, would it be

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Speaker 1: as good?

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Speaker 2: And why?

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Speaker 1: Is the answer no? Because there's a human element that

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Speaker 1: is missing. There's something about humans doing things that robots

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Speaker 1: don't and can never replicate, which is the reason why

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Speaker 1: Grandma's home cooking made exactly two Who the tea is

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Speaker 1: done better by you having being taught by your grandma

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Speaker 1: than some robot that can replicate it exactly to a t.

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Speaker 1: For I guess baseball fans, maybe the best depiction can

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Speaker 1: be this. Can you imagine the World series ending on

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Speaker 1: a robot challenged strike? How how depressing would that be?

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Speaker 1: On so many different levels. It is incredibly human to

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Speaker 1: make mistakes, I think, is what we're ultimately getting at here.

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Speaker 1: And maybe that's the reason philosophically why some of our

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Speaker 1: most important texts are not line by line Yes, no,

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Speaker 1: absolutes do and do not. Maybe the idea of human discernment.

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Speaker 1: The need for human prudence is why the Bible even

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Speaker 1: is situational literature and not just a list of things

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Speaker 1: that you can and can't do. Maybe the reason that

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Speaker 1: stagnant yes or no answers aren't ubiquitous throughout human culture

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Speaker 1: and society, even though we've come up with our own

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Speaker 1: systems that kind of emulate that. Maybe it's because the

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Speaker 1: human element to discern, to show prudence, to show that

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Speaker 1: even though it's not technically perfect, it still is human,

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Speaker 1: is unbelievably important in the idea of life, in the

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Speaker 1: idea of humanity. I recognize this might be weird to

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Speaker 1: have extrapolated from a sports change, but I genuinely do

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Speaker 1: think this is emblematic of a an odd direction that

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Speaker 1: we are going in society. I think in many sports

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Speaker 1: can be a gateway to the human condition. And my

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Speaker 1: fear I think in all of this is that removing

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Speaker 1: the human yes may further precision, it may further technical accuracy,

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Speaker 1: but at what cost. And my hope is that the

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Speaker 1: cost ultimately isn't. In baseball's instance, the beauty of the game,

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Speaker 1: the understanding of how to regulate those emotions and the

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Speaker 1: consequences of what happens when the umpire winds up his

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Speaker 1: fist and throws out a coach for not being able

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Speaker 1: to regulate those very human emotions. What happens to the

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Speaker 1: sport of baseball, but more broadly, humanity as a whole,

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Speaker 1: when we eliminate the possibility for the human element. My

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Speaker 1: guess is nothing good. I recognizes a little bit heavy,

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Speaker 1: maybe a little bit deep for a Friday, and maybe

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Speaker 1: a little bit odd that we're using baseball in order

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Speaker 1: to analyze the condition that humans are now in in

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Speaker 1: trying to defend the human condition. But again, it's Friday.

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Speaker 1: I know there's a lot of news going on. I

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Speaker 1: know there's a lot of stuff that will probably happen

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Speaker 1: over the weekend that is worth talking about, but we'll

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Speaker 1: discuss that on Monday. I do think these things are

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Speaker 1: incredibly important, but I would love to hear your thoughts

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Speaker 1: and your feedback. TPT ATPUSA dot com is the email address.

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Speaker 1: What do you think about ABS the baseball computer systems?

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Speaker 1: How do you think that plays into the overall human

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Speaker 1: element role, not only in baseball, but in life in general.

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Speaker 1: As we march further and further towards this hyper accurate

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Speaker 1: Precision Technical Society. What does that look like going forward?

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Speaker 1: If we remove the human element from one of the

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Speaker 1: most human things that exists in this case baseball, but

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Speaker 1: in so many other different areas TTTPS dot com. I

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Speaker 1: would love to hear your thoughts on that. Maybe we'll

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Speaker 1: discuss those on Monday. There are several points from around

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Speaker 1: the news media that it's pertinent and important to get to,

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Speaker 1: and we will do that next segment. When we get

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Speaker 1: to the point. We'll be right back after break unk away.

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Speaker 5: I am so sick of these people coming over here

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Speaker 5: not speaking English, like not a lack of English.

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Speaker 6: My liftdriver just left me at my second stop. I

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Speaker 6: had two stops. He left me at my second stop,

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Speaker 6: came outside.

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Speaker 2: He was gone.

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Speaker 6: If you don't speak English, I feel like you should

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Speaker 6: not be qualified.

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Speaker 5: To do anything pertaining to customer service like lift uber.

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Speaker 6: I'm tired of it.

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Speaker 5: How are y'all maneuvering without speaking English?

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Speaker 6: They just look at you. What I make noises like

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Speaker 6: they understand you is so irritating. It's so annoying.

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Speaker 1: Loll based true. Also, yeah, can confer very very annoying,

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Speaker 1: very irritating. Also to it is the law right like

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Speaker 1: if you participate in transportation, you're legally required to know English.

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Speaker 1: Like that's this federal law. I mean it kind of

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Speaker 1: started top down from like airline pilots who are required

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Speaker 1: to know English because every airport in the world speaks

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Speaker 1: English in order to discuss, you know, landing procedures. Yeah,

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Speaker 1: everybody in transportation is required to know English. So maybe

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Speaker 1: we just started enforcing that.

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Speaker 2: Just a thought.

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Speaker 1: All right, Hey, lots of points to get to, including

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Speaker 1: the no King's protests, which I think is our first

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Speaker 1: point that we're getting to today. It is time to

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Speaker 1: get to the point, Glenn, we didn't play this singer,

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Speaker 1: producer Glenn just coming. This is one of the first

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Speaker 1: and most egregious missteps of producer Glenn on this show,

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Speaker 1: pulling up the headline before we play the zinger, which

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Speaker 1: I know several of you have emailed saying that they're

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Speaker 1: called stingers, So we can try that again. Hey, Live TV,

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Speaker 1: what are you gonna do? It is time.

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Speaker 2: To get to the point, get to the car, to

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Speaker 2: get to the phone. Now.

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Speaker 1: The question is did I do a very elongated pause

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Speaker 1: to see if I can get Glenn to jump off

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Speaker 1: sides and play the zinger before I was ready for it,

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Speaker 1: Yes I did. Unfortunately, in my attempt to provide a

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Speaker 1: reason for myself to yell at the staff after the show,

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Speaker 1: he didn't take the bait. So here we are going

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Speaker 1: back to schedule, planned as usual. It is Yeah, we're

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Speaker 1: getting to the point. And this is a point that

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Speaker 1: I think is I won't bury the lead here. I

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Speaker 1: think this is a full blown lie. I don't think

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Speaker 1: this is true through at all, which is why I

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Speaker 1: think it's important to talk about AP. The Associated Press

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Speaker 1: reporting suburbanites embrace anti Trump resistance before No King's Protests,

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Speaker 1: saying this is our fight, Alex, I'll take things that

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Speaker 1: aren't happening for one hundred. This from the AP. Suburban

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Speaker 1: residents in traditionally Republican leaning neighborhoods in areas such as

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Speaker 1: maple Wood and Summit in New Jersey are increasingly organizing

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Speaker 1: and participating in anti Trump advocate activism. No they are not.

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Speaker 1: They're just not viewing his second term as a threat

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Speaker 1: to democracy, describing it as an authoritarian nightmare. No they

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Speaker 1: are not. They talk about organizers with the Indivisible Movement

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Speaker 1: or preparing for a nationwide No King's Protests. This Saturday

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Speaker 1: tomorrow with over three thousand demonstrations planned.

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Speaker 2: Good luck.

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Speaker 1: If I were able to purchase some of your time,

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Speaker 1: I would.

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Speaker 5: Uh.

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Speaker 1: They say this again, the AP reporting two thirds of

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Speaker 1: them in suburban areas, expecting it turnout exceeding nine million people,

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Speaker 1: potentially the largest single day protests in US history.

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Speaker 2: I doubt it.

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Speaker 1: I just I think yesterday we were talking about the Uh,

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Speaker 1: it's three million people. It's only one percent of the population.

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Speaker 1: Even if it was nine million people, which it will

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Speaker 1: not be. Uh, it's three percent of the population. Minuscule,

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Speaker 1: small fraction. And I guarantee you it is not former

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Speaker 1: Trump voters like there are zero person Yeah, maybe they're

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Speaker 1: a little bit frustrated. Maybe affordability stuff is the problem.

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Speaker 1: Maybe they're not for what's going on in ran Those

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Speaker 1: those are all they are not protesting, no kings. I

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Speaker 1: can guarantee you that. Let's see that. Well, here's why

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Speaker 1: I think they're doing this. Here's why I think so.

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Speaker 1: Rachel Maddout went on, was it it was either Jimmy

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Speaker 1: Kimmel or Stephen Colbert a couple months ago and said

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Speaker 1: the quiet part out loud, Hey, if we can get

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Speaker 1: a certain percentage of people to believe that this is

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Speaker 1: this nationwide protest, then they actually will start to buy

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Speaker 1: into our cause. That is what I think is going

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Speaker 1: on here in this AP article. One hundred percent can

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Speaker 1: tell you with full confidence that there is not a

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Speaker 1: massive ground swell of conservatives who voted for Trump, like

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Speaker 1: three times now saying you know what, I'm gonna go protest.

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Speaker 1: I wholeheartedly think that these types of articles are to

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Speaker 1: try and gaslight lefties, center lefties, lefties that are on

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Speaker 1: the fence into thinking, oh, yeah, conservatives are against them too. No,

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Speaker 1: they are not, pound sand ap. Yeah, there might be

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Speaker 1: some things that conservatives may be a little frustrated with,

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Speaker 1: but to the to the extent of going and protesting

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Speaker 1: in the street for the stupidest named protests, no kings,

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Speaker 1: which thank you America has been doing for the last

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Speaker 1: two hundred fifty years, to say that people who voted

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Speaker 1: for Donald Trump are now taking to the streets get

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Speaker 1: out of town with that associated press. All right, cool,

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Speaker 1: so jee at the cost of time. You know, we

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Speaker 1: talked a lot about baseball earlier, so let's try and

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Speaker 1: jam through these things as quick as we can. Next point,

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Speaker 1: this from Fortune magazine of belief social security insolvency. How

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Speaker 1: six figure always six figure cap to flatten benefits for

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Speaker 1: the ultra wealthy could buy the seven program seven critical years.

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Speaker 1: Let me just summarize this very briefly. The Social Security

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Speaker 1: Retirement Fund, the trust fund is that his social Security

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Speaker 1: is completely insolvent. The CBO I think predicted two years

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Speaker 1: ago that it's got ten years left before it's just

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Speaker 1: not workable or functionable. But the new fix is now, hey, umm,

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Speaker 1: because this is in solvent, maybe we should start taking

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Speaker 1: more from people who make more, who, by the way,

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Speaker 1: also probably aren't.

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Speaker 2: Going to use it.

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Speaker 1: No mention of okay, so what what has the return

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Speaker 1: been on been like in the Social Security Fund? Has

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00:27:15,359 --> 00:27:17,040
Speaker 1: it been good or has it been one of the

435
00:27:17,080 --> 00:27:21,600
Speaker 1: worst performing funds in the history of humanity? And I

436
00:27:21,640 --> 00:27:23,600
Speaker 1: know there's probably some of you who are retired and

437
00:27:23,640 --> 00:27:26,000
Speaker 1: probably screaming at your TV saying, ah, you can't cut

438
00:27:26,040 --> 00:27:29,399
Speaker 1: social Security. We paid into it. Fair point.

439
00:27:29,960 --> 00:27:34,080
Speaker 2: Also, maybe it should have been governed.

440
00:27:33,720 --> 00:27:36,959
Speaker 1: A little bit better by everybody who was paying into it,

441
00:27:38,240 --> 00:27:42,000
Speaker 1: because it has not returned nearly the investment that was

442
00:27:42,080 --> 00:27:44,800
Speaker 1: put into it by all the folks who were forced

443
00:27:44,840 --> 00:27:49,480
Speaker 1: to pay into it. And saying that, well, we're just

444
00:27:49,520 --> 00:27:53,040
Speaker 1: gonna take more from the rich people who again aren't

445
00:27:53,080 --> 00:27:56,040
Speaker 1: going to use it. Even if that were the gaze,

446
00:27:56,040 --> 00:27:59,560
Speaker 1: it just says, say, scenario where all this stuff goes through.

447
00:28:00,400 --> 00:28:02,879
Speaker 2: Okay, cool, so abought the program seven years what happened?

448
00:28:02,920 --> 00:28:03,600
Speaker 6: What about after that?

449
00:28:04,880 --> 00:28:08,560
Speaker 1: We need to the whole system needs to get revamped

450
00:28:09,200 --> 00:28:12,840
Speaker 1: in some way that makes sense where it doesn't just

451
00:28:13,000 --> 00:28:16,560
Speaker 1: eliminate all of the folks who are in retirement now,

452
00:28:16,640 --> 00:28:21,880
Speaker 1: doesn't eliminate that, but also finds a workaround that can

453
00:28:21,880 --> 00:28:25,320
Speaker 1: make it so it doesn't collapse in eight years. Why

454
00:28:25,359 --> 00:28:27,239
Speaker 1: this is such a big issue. I don't know why

455
00:28:27,320 --> 00:28:29,280
Speaker 1: this is such a big problem, How it's become such

456
00:28:29,280 --> 00:28:31,399
Speaker 1: a big problem, How it's becomes such a big problem.

457
00:28:31,400 --> 00:28:33,760
Speaker 1: I totally understand the government is not good at really

458
00:28:33,760 --> 00:28:37,160
Speaker 1: doing anything. But I believe We've got a clip about

459
00:28:37,160 --> 00:28:40,560
Speaker 1: this later coming up another Live with a bad idea.

460
00:28:40,720 --> 00:28:44,200
Speaker 1: But again I repeat myself. Next clip, next point to

461
00:28:44,280 --> 00:28:47,560
Speaker 1: get to an appeals court. Let's the Trump administrations from

462
00:28:47,800 --> 00:28:52,240
Speaker 1: CBS News. Appeals Court lets Trump administration hold many immigration

463
00:28:52,400 --> 00:28:58,160
Speaker 1: detainees without bond. Because this is like couched in the

464
00:28:58,160 --> 00:29:02,360
Speaker 1: way that CBS well CBS This interesting one. Barry Wise's

465
00:29:02,360 --> 00:29:08,280
Speaker 1: CBS better than other mainstream not perfect, but better, even

466
00:29:08,320 --> 00:29:11,120
Speaker 1: though the ratings haven't quite reflect that as of yet.

467
00:29:11,880 --> 00:29:15,360
Speaker 1: But a three panel, three judge panel in the US

468
00:29:15,520 --> 00:29:17,840
Speaker 1: Court of Appeals in the Eighth Circuit rule two to

469
00:29:17,840 --> 00:29:21,080
Speaker 1: one on March twenty fifth in favor of President Trump

470
00:29:21,600 --> 00:29:26,720
Speaker 1: administration allowing immigration detainees who entered the United States without

471
00:29:26,760 --> 00:29:31,040
Speaker 1: inspection or admission to be held in mandatory detention without

472
00:29:31,080 --> 00:29:37,280
Speaker 1: bond hearings because if you don't, they'll just disappear into

473
00:29:37,320 --> 00:29:42,560
Speaker 1: the country. That just seems like duh. Bond is claiming

474
00:29:42,600 --> 00:29:44,479
Speaker 1: it's a massive court victory, which it is, but it's

475
00:29:44,520 --> 00:29:47,080
Speaker 1: also just one of those obvious things like, hey, if

476
00:29:47,080 --> 00:29:49,720
Speaker 1: you stuck into the country illegally and you were arrested

477
00:29:49,720 --> 00:29:53,120
Speaker 1: and detained, no, you shouldn't be able to put up

478
00:29:55,000 --> 00:29:57,920
Speaker 1: a bond that you don't have or something.

479
00:29:58,160 --> 00:30:00,280
Speaker 2: I don't know. Those bonds will probably be what ten.

480
00:30:00,240 --> 00:30:03,080
Speaker 1: Dollars, All right, cool, here's a thousand pasos or whatever

481
00:30:03,120 --> 00:30:09,320
Speaker 1: the currency crossover would be. No, yeah, of course not,

482
00:30:09,440 --> 00:30:11,680
Speaker 1: because then there's they'll be gone forever. You'll never see

483
00:30:11,680 --> 00:30:16,560
Speaker 1: those people again. Okay, let's see from the New York Times.

484
00:30:18,120 --> 00:30:18,880
Speaker 1: I honestly just.

485
00:30:18,800 --> 00:30:20,440
Speaker 2: Thought this one was funny.

486
00:30:21,600 --> 00:30:24,520
Speaker 1: Jury, So let me just set this up really quick.

487
00:30:24,600 --> 00:30:26,760
Speaker 1: Chance the Rapper, who you probably have never heard of,

488
00:30:27,000 --> 00:30:31,400
Speaker 1: I happen to be a big fan his former manager

489
00:30:32,360 --> 00:30:35,480
Speaker 1: was sued him, and then he sued the former manager back.

490
00:30:35,960 --> 00:30:38,280
Speaker 1: First guy sued him for three point eight million dollars

491
00:30:38,320 --> 00:30:42,680
Speaker 1: in unpaid commissions royalties under their informal handshake agreement, which

492
00:30:42,760 --> 00:30:45,520
Speaker 1: dated back all the way to twenty twelve. Chance the

493
00:30:45,560 --> 00:30:48,760
Speaker 1: Rapper then sued for a million dollars alleging a breach

494
00:30:48,840 --> 00:30:52,720
Speaker 1: of fiduciary duty, which you know, the manager hands a

495
00:30:52,720 --> 00:30:55,920
Speaker 1: lot of the finances. This whole thing gets just crazy,

496
00:30:56,000 --> 00:30:59,520
Speaker 1: going on years long battle in court. Five year battle

497
00:30:59,560 --> 00:31:03,640
Speaker 1: in court ultimately comes out jury awards Chance the Rapper

498
00:31:03,840 --> 00:31:06,800
Speaker 1: the person who sued retro or in response to the

499
00:31:06,800 --> 00:31:12,120
Speaker 1: first lawsuit, with thirty five dollars in damages. In other words,

500
00:31:12,160 --> 00:31:14,000
Speaker 1: a bunch of attorneys made a ton of money of

501
00:31:14,040 --> 00:31:17,320
Speaker 1: these two former friends suing each other for only the

502
00:31:17,400 --> 00:31:20,480
Speaker 1: jury to decide, yes, we agree that this guy's in

503
00:31:20,480 --> 00:31:22,320
Speaker 1: the wrong, This guy's in the wrong here, this guy's

504
00:31:22,320 --> 00:31:25,640
Speaker 1: in the right here. Thirty five bucks is the penalty

505
00:31:26,360 --> 00:31:27,920
Speaker 1: and that made it into the New York Times.

506
00:31:29,080 --> 00:31:30,720
Speaker 2: Okay, I just thought that was funny.

507
00:31:30,800 --> 00:31:34,000
Speaker 1: Of all the things, millions of dollars in lawsuits and

508
00:31:34,040 --> 00:31:39,920
Speaker 1: countersuits thirty five bucks. Okay, speaking of ridiculousness, it will

509
00:31:39,960 --> 00:31:42,800
Speaker 1: be our last headline for the week here, Washington Free Beacon.

510
00:31:44,040 --> 00:31:46,760
Speaker 1: You remember Claudine Gay. Lot of people with the last

511
00:31:46,800 --> 00:31:51,360
Speaker 1: name Gay in the show today. Probably nothing, nothing to

512
00:31:51,400 --> 00:31:56,440
Speaker 1: extrapolate out of that, just a coincidence. Ousted Harvard president

513
00:31:56,480 --> 00:32:00,200
Speaker 1: Claudine Gay to teach Harvard course on politics in highigher

514
00:32:00,280 --> 00:32:05,600
Speaker 1: Education two years after resigning in disgrace. If you remember,

515
00:32:05,800 --> 00:32:10,520
Speaker 1: Claudine Gay was wrapped up in the plagiarism scandal, among

516
00:32:10,840 --> 00:32:14,400
Speaker 1: many of the other scandals. Remember she also testified on

517
00:32:14,480 --> 00:32:19,800
Speaker 1: behalf of like the Hamas protesters who said some ridiculous

518
00:32:19,840 --> 00:32:22,560
Speaker 1: things in those hearings. I think it was at least

519
00:32:22,560 --> 00:32:26,320
Speaker 1: Stephonic who was grilling her at the time, said some

520
00:32:26,360 --> 00:32:28,760
Speaker 1: awful stuff there, but then also was found to have

521
00:32:28,880 --> 00:32:34,400
Speaker 1: plagiarized a bunch of stuff and therefore had to resign. Well,

522
00:32:34,400 --> 00:32:36,640
Speaker 1: the resignation didn't last long. She is now going to

523
00:32:36,680 --> 00:32:40,560
Speaker 1: be teaching politics in higher education starting fall of twenty

524
00:32:40,600 --> 00:32:44,680
Speaker 1: twenty six a course titled what is a University Purpose?

525
00:32:44,720 --> 00:32:50,080
Speaker 1: And Politics in Higher Education? The small application only tutorial,

526
00:32:50,120 --> 00:32:55,160
Speaker 1: which is capped at sixteen students will use Harvard specific

527
00:32:55,240 --> 00:32:57,800
Speaker 1: cases to and histories to examine the data. But yeah,

528
00:32:57,840 --> 00:33:00,560
Speaker 1: it doesn't matter, It doesn't matter what the course isottom line.

529
00:33:00,680 --> 00:33:05,800
Speaker 1: Is a ton of controversy around Claudine Gay, which led

530
00:33:05,840 --> 00:33:11,560
Speaker 1: to her resignation, of which included a bunch of Jewish racism,

531
00:33:12,040 --> 00:33:15,640
Speaker 1: racism against Jews, and plagiarism.

532
00:33:16,040 --> 00:33:17,760
Speaker 2: And she sourced resigned.

533
00:33:17,800 --> 00:33:20,719
Speaker 1: Now she's working back at the institution. So that just

534
00:33:20,760 --> 00:33:25,719
Speaker 1: goes to show you the steadfast commitment to integrity that

535
00:33:25,760 --> 00:33:27,880
Speaker 1: Harvard has. All Right, those are all the points that

536
00:33:27,880 --> 00:33:31,680
Speaker 1: we got to today. Fit my favorite. Okay, official Business

537
00:33:31,720 --> 00:33:34,600
Speaker 1: is my favorite segment of the show, but on Friday,

538
00:33:34,640 --> 00:33:38,960
Speaker 1: specifically the clip cleanouts of Official Business or yes, other

539
00:33:38,960 --> 00:33:41,240
Speaker 1: clips have made it into clip cleanout is my favorite

540
00:33:41,400 --> 00:33:44,120
Speaker 1: segment of the week. Time for the clip cleanout coming

541
00:33:44,160 --> 00:33:46,240
Speaker 1: up right after the break. TBTTBUSA dot com is the

542
00:33:46,240 --> 00:33:58,360
Speaker 1: email address. We'll be right back, don't go away.

543
00:34:00,000 --> 00:34:03,320
Speaker 7: Alarming images across South LA. This looks like it was

544
00:34:03,360 --> 00:34:06,040
Speaker 7: a mattress or something just blocks from where a woman

545
00:34:06,160 --> 00:34:09,799
Speaker 7: was found living in a storm drain. How does this

546
00:34:09,880 --> 00:34:11,720
Speaker 7: area of La compared to Guatemala?

547
00:34:11,800 --> 00:34:14,719
Speaker 2: Oh my god, better of this.

548
00:34:15,239 --> 00:34:17,880
Speaker 7: There were people living in the storm drain next to

549
00:34:17,960 --> 00:34:20,880
Speaker 7: your house. Okay, you don't seem that surprised.

550
00:34:21,040 --> 00:34:24,440
Speaker 6: In South LA, it's kind of light normal.

551
00:34:24,560 --> 00:34:28,640
Speaker 1: I guess that that's the worst thing anybody has ever said. Hey,

552
00:34:28,640 --> 00:34:31,560
Speaker 1: there's a person living in your storm drain, and that's

553
00:34:31,640 --> 00:34:35,239
Speaker 1: kind of normal. Unfortunately, I kind of have the same

554
00:34:35,320 --> 00:34:38,279
Speaker 1: sentiment when it comes to the normalcy of the ridiculous

555
00:34:38,360 --> 00:34:41,719
Speaker 1: nature that we've put ourselves in California. I will the

556
00:34:41,800 --> 00:34:46,280
Speaker 1: one big contention I have is do they pay property tax?

557
00:34:46,640 --> 00:34:48,920
Speaker 1: The guy who built a three story treehouse on the

558
00:34:48,960 --> 00:34:52,600
Speaker 1: sidewalk in Los Angeles was like allowed to live there.

559
00:34:52,880 --> 00:34:57,319
Speaker 1: Is that guy paying property tax? The people that are

560
00:34:57,320 --> 00:35:00,200
Speaker 1: camping out on the beach, are they paying property tax

561
00:35:00,239 --> 00:35:03,040
Speaker 1: for their beachfront property. I can't afford to live by

562
00:35:03,040 --> 00:35:04,880
Speaker 1: the beach. I would love to live by the beach,

563
00:35:05,080 --> 00:35:08,439
Speaker 1: But among the many factors involved with me not living

564
00:35:08,440 --> 00:35:11,760
Speaker 1: by the beach is property tax. And are those homeless

565
00:35:11,760 --> 00:35:15,480
Speaker 1: bums and junkies who are taking up public space because

566
00:35:15,520 --> 00:35:19,000
Speaker 1: they decided to and we've allowed them. Are they paying

567
00:35:19,040 --> 00:35:21,759
Speaker 1: property tax? Of course the answer is no, which case,

568
00:35:21,960 --> 00:35:26,160
Speaker 1: maybe they should go to a property auction and maybe

569
00:35:26,160 --> 00:35:31,799
Speaker 1: I'd be able to bid on that ocean property. All right, Uh,

570
00:35:32,520 --> 00:35:35,160
Speaker 1: the risk of laboring on too much. About that point,

571
00:35:35,800 --> 00:35:37,759
Speaker 1: it is time for my favorite segment of the week.

572
00:35:37,800 --> 00:35:39,920
Speaker 1: It is time to clean out the clips. It is

573
00:35:40,200 --> 00:35:42,640
Speaker 1: the clip clean out, cleaning.

574
00:35:42,320 --> 00:35:46,560
Speaker 2: Out clip Sleep didn't use this week. It's the clip

575
00:35:46,600 --> 00:35:49,520
Speaker 2: clean out.

576
00:35:50,040 --> 00:35:52,799
Speaker 1: All right, Hey again that's my I like, I feel

577
00:35:52,800 --> 00:35:55,600
Speaker 1: like doing the Carlton dance from the Fresh Princeville Air

578
00:35:56,040 --> 00:35:58,239
Speaker 1: clean and I'm not gonna sing it. Uh, okay, So

579
00:35:58,760 --> 00:36:01,120
Speaker 1: cleaning out the first clip clip clean Now, this is

580
00:36:01,440 --> 00:36:09,920
Speaker 1: libor LIB Representative Stephen Cohen reluctantly admitting that President Trump's

581
00:36:09,960 --> 00:36:13,520
Speaker 1: crime crackdown has made the city of Memphis a lot safer,

582
00:36:14,080 --> 00:36:16,360
Speaker 1: which is true and libs hate to admit it.

583
00:36:16,360 --> 00:36:16,960
Speaker 2: This is cut sick.

584
00:36:17,640 --> 00:36:19,120
Speaker 4: I just last I want to ask you Trump is

585
00:36:19,160 --> 00:36:23,360
Speaker 4: taking some credit for bringing down the crime in.

586
00:36:23,560 --> 00:36:27,040
Speaker 3: A district that you're well familiar with there in Memphis.

587
00:36:27,040 --> 00:36:28,640
Speaker 3: Do you give him some credit for that?

588
00:36:31,400 --> 00:36:32,560
Speaker 6: Give him a little bit of credit.

589
00:36:33,239 --> 00:36:34,720
Speaker 3: We need, we need more police.

590
00:36:35,000 --> 00:36:37,319
Speaker 1: We'll stop right there. No, there's there's sixteen seconds left

591
00:36:37,320 --> 00:36:39,399
Speaker 1: in this clip. We're gonna stop right there. Perfect, Thank

592
00:36:39,400 --> 00:36:43,120
Speaker 1: you sir, congratulations on joining us in normalcy.

593
00:36:43,440 --> 00:36:44,120
Speaker 2: Perfect cool.

594
00:36:44,239 --> 00:36:46,959
Speaker 1: Yes, crackdown on crime leads to less crime and that's good.

595
00:36:47,040 --> 00:36:50,840
Speaker 1: Thank you President Trump. Boo yah. Moving on, this is

596
00:36:51,640 --> 00:36:56,040
Speaker 1: Senator Corey Booker, also known as Spartacus, also known as

597
00:36:56,120 --> 00:37:02,680
Speaker 1: Timu Obama, talking about ICE and TSA and just so mad.

598
00:37:02,880 --> 00:37:05,600
Speaker 1: And we've all seen how that's played out. Actually fantastically.

599
00:37:05,640 --> 00:37:08,840
Speaker 1: Ice is doing a great job in supporting TSA during

600
00:37:08,920 --> 00:37:14,520
Speaker 1: the lib caused shutdown. But still that cry, Libs cry.

601
00:37:14,920 --> 00:37:17,600
Speaker 2: Senator Booker right here, cut seven.

602
00:37:17,880 --> 00:37:22,120
Speaker 3: And so what's happening today in America that should outrage everybody.

603
00:37:22,640 --> 00:37:26,840
Speaker 3: He's taking this very same agency that has been bursting

604
00:37:26,880 --> 00:37:33,560
Speaker 3: into our schools, into our churches, into our hospitals, into

605
00:37:33,600 --> 00:37:37,640
Speaker 3: our courts, and even into the homes of Americans. He's

606
00:37:37,719 --> 00:37:40,200
Speaker 3: taking that agency that is reckless as out of control

607
00:37:40,600 --> 00:37:43,920
Speaker 3: and bringing them to our airports under the lie that

608
00:37:44,040 --> 00:37:46,600
Speaker 3: somehow this is going to help deal with the long

609
00:37:46,719 --> 00:37:50,960
Speaker 3: lines that he created in the first place. This is

610
00:37:51,000 --> 00:37:54,960
Speaker 3: an outrage. We should not have an agency that America

611
00:37:55,040 --> 00:38:00,640
Speaker 3: doesn't trust an agency that literally has seen violence against Americans,

612
00:38:00,640 --> 00:38:04,880
Speaker 3: an agency that is tearing away American families, tearing apart

613
00:38:04,880 --> 00:38:08,840
Speaker 3: American families, and arresting and detaining Americans and violating to

614
00:38:09,000 --> 00:38:11,000
Speaker 3: process rights and civil rights.

615
00:38:11,239 --> 00:38:16,080
Speaker 1: Okay, here's my only quibble with this is that is

616
00:38:16,120 --> 00:38:19,480
Speaker 1: President Trump sending Don Lemon and his production staff to

617
00:38:19,520 --> 00:38:23,000
Speaker 1: the airports because he said, oh, the same agency there's

618
00:38:23,120 --> 00:38:26,880
Speaker 1: breaking into our churches. President Trump is sending the airports.

619
00:38:27,239 --> 00:38:29,319
Speaker 1: Is Don Lemon required to go to the airports and

620
00:38:29,360 --> 00:38:37,879
Speaker 1: facilitate security processes? I'm totally unaware. Also too, it's deliciously

621
00:38:37,920 --> 00:38:43,279
Speaker 1: funny how this is not not been a clip that

622
00:38:43,400 --> 00:38:48,320
Speaker 1: ages well considering the fact that TSA has benefited greatly from.

623
00:38:48,120 --> 00:38:49,760
Speaker 2: Ice in the airports.

624
00:38:50,640 --> 00:38:53,120
Speaker 1: All right, speaking of libs and crazy people, tank it,

625
00:38:53,160 --> 00:38:54,440
Speaker 1: this is gonna be all We're gonna have to clean

626
00:38:54,480 --> 00:38:59,080
Speaker 1: out some more clips. Maybe Monday can't not get to

627
00:38:59,440 --> 00:39:04,080
Speaker 1: governor news. Some just out it's a code red situation.

628
00:39:05,200 --> 00:39:08,120
Speaker 1: The people who are allowed to vote are going to

629
00:39:08,160 --> 00:39:10,360
Speaker 1: be verified that they are allowed to vote.

630
00:39:10,800 --> 00:39:11,040
Speaker 2: Cut e.

631
00:39:12,120 --> 00:39:14,399
Speaker 8: But right now you've got to deal with the fact

632
00:39:14,440 --> 00:39:17,120
Speaker 8: this guy's trying to nationalize the federal elections. That this

633
00:39:17,160 --> 00:39:19,480
Speaker 8: guy's trying to do a Save the Save Act, which

634
00:39:19,520 --> 00:39:22,120
Speaker 8: is about literally wiring the elections, as he said, up

635
00:39:22,160 --> 00:39:25,440
Speaker 8: for the next fifty years. He's quite literally. I mean,

636
00:39:25,440 --> 00:39:27,680
Speaker 8: this is a the cronyism about.

637
00:39:28,920 --> 00:39:29,560
Speaker 3: House is on fire.

638
00:39:29,600 --> 00:39:33,080
Speaker 8: Now you're just corruption story house is on fire, rewriting history,

639
00:39:33,120 --> 00:39:36,279
Speaker 8: sensoring historic facts. In terms of Bernewell, I mean this

640
00:39:36,320 --> 00:39:38,680
Speaker 8: is but this is code red, and so we have

641
00:39:38,760 --> 00:39:39,560
Speaker 8: to meet that moment.

642
00:39:40,360 --> 00:39:42,520
Speaker 1: You have to meet the moment it's code red. Who

643
00:39:43,520 --> 00:39:46,160
Speaker 1: all hands on deck? This is the worst thing that's

644
00:39:46,160 --> 00:39:49,040
Speaker 1: ever happened. What is it that you're talking about, Governor Newsom?

645
00:39:49,080 --> 00:39:51,760
Speaker 1: The fact that people in this country have to prove

646
00:39:51,840 --> 00:39:55,360
Speaker 1: they are eligible to vote in order to vote. Actually,

647
00:39:55,360 --> 00:39:57,040
Speaker 1: Governor Newsom, that doesn't seem like very big.

648
00:39:57,160 --> 00:39:57,960
Speaker 2: Probably, No, it's.

649
00:39:57,800 --> 00:40:00,800
Speaker 1: A code red on the alarms.

650
00:40:03,600 --> 00:40:06,040
Speaker 2: I just I don't know. I think.

651
00:40:05,920 --> 00:40:11,200
Speaker 1: The best and most effective response is just laughing at them,

652
00:40:11,200 --> 00:40:14,160
Speaker 1: making fun of them, which we will we'll continue to

653
00:40:14,200 --> 00:40:17,560
Speaker 1: do here on this show. You have my work Hey

654
00:40:17,560 --> 00:40:20,400
Speaker 1: coming up next a segment being Wiser by What did

655
00:40:20,440 --> 00:40:23,600
Speaker 1: we learn this week and what stories did we learn

656
00:40:23,640 --> 00:40:26,560
Speaker 1: it from? Coming up right after the break, tptatvs dot

657
00:40:26,560 --> 00:40:27,640
Speaker 1: Com is that email address.

658
00:40:27,719 --> 00:40:39,440
Speaker 2: We'll be right back, don't go away.

659
00:40:39,920 --> 00:41:04,080
Speaker 3: So yeah, I this.

660
00:41:04,400 --> 00:41:07,839
Speaker 1: I hate that type of content. Like people go up

661
00:41:07,840 --> 00:41:10,239
Speaker 1: to random folks I can sing, and then they start

662
00:41:10,360 --> 00:41:13,200
Speaker 1: just just go walking up to you. I'm gonna sing

663
00:41:13,239 --> 00:41:16,160
Speaker 1: to you, and like, what happened? What happens to that happen?

664
00:41:16,200 --> 00:41:16,279
Speaker 3: Now?

665
00:41:16,320 --> 00:41:17,680
Speaker 1: I gotta listen to you sing a song. I don't

666
00:41:17,680 --> 00:41:19,160
Speaker 1: want to hear you sing a song. There are plenty

667
00:41:19,160 --> 00:41:19,680
Speaker 1: of good singers.

668
00:41:19,719 --> 00:41:20,400
Speaker 2: You're not special.

669
00:41:21,160 --> 00:41:23,160
Speaker 1: Somebody goes up to John Cena and he basically says

670
00:41:23,200 --> 00:41:29,200
Speaker 1: what I would say. I'm not no, I'm no, thank you.

671
00:41:28,200 --> 00:41:29,160
Speaker 2: Please don't.

672
00:41:29,239 --> 00:41:31,040
Speaker 1: I don't want to sit here and like have to

673
00:41:31,080 --> 00:41:32,560
Speaker 1: listen to a minute and a half of this and

674
00:41:32,560 --> 00:41:34,840
Speaker 1: then like pretend like, wow, I've never heard this before.

675
00:41:35,000 --> 00:41:35,280
Speaker 6: Dude.

676
00:41:35,280 --> 00:41:39,799
Speaker 1: I fifteen thousand great singers on the Internet that you

677
00:41:39,800 --> 00:41:42,000
Speaker 1: can go listen to at any point in time. One

678
00:41:42,000 --> 00:41:45,280
Speaker 1: of the good things of the internet. It is removed

679
00:41:45,320 --> 00:41:49,439
Speaker 1: the barrier for recognizing talent. Now, dude, who can't sing

680
00:41:49,600 --> 00:41:50,240
Speaker 1: at this point?

681
00:41:51,600 --> 00:41:51,759
Speaker 4: Uh?

682
00:41:51,800 --> 00:41:52,560
Speaker 2: Okay, what do we do?

683
00:41:52,560 --> 00:41:52,719
Speaker 9: Oh?

684
00:41:52,760 --> 00:41:53,040
Speaker 3: What's that?

685
00:41:53,320 --> 00:41:53,680
Speaker 2: Jeez?

686
00:41:53,960 --> 00:41:54,200
Speaker 8: Man?

687
00:41:55,760 --> 00:41:59,200
Speaker 2: I am the worst. I am as bad.

688
00:41:59,000 --> 00:42:01,840
Speaker 1: At time management on this show as my wife is

689
00:42:01,880 --> 00:42:04,920
Speaker 1: with time management in real life. Don't tell her I

690
00:42:05,000 --> 00:42:07,839
Speaker 1: said that. But we are getting wiser every single week.

691
00:42:07,880 --> 00:42:11,080
Speaker 1: It is time for what we learned this week being wise,

692
00:42:11,840 --> 00:42:12,799
Speaker 1: it's wiser by the week.

693
00:42:22,680 --> 00:42:23,279
Speaker 2: I wish that was.

694
00:42:23,360 --> 00:42:26,120
Speaker 1: I wish that actually happened when I would either pray

695
00:42:26,200 --> 00:42:31,080
Speaker 1: or meditate. If I could actually levitate, that'd be fantastic.

696
00:42:31,520 --> 00:42:34,760
Speaker 1: All right, Hey, The story for this week being wiser

697
00:42:34,800 --> 00:42:38,000
Speaker 1: by the week comes out of Los Angeles, in which

698
00:42:38,080 --> 00:42:43,160
Speaker 1: an all female group finishing up brunch at the lounge

699
00:42:43,320 --> 00:42:46,120
Speaker 1: at a restaurant named Zia, which is one of your

700
00:42:46,280 --> 00:42:49,320
Speaker 1: hash posh new hip places.

701
00:42:50,640 --> 00:42:52,080
Speaker 2: Hold on, this is according.

702
00:42:51,680 --> 00:42:55,480
Speaker 1: To your They were finishing brunch around five pm on Sunday.

703
00:42:56,800 --> 00:42:59,759
Speaker 1: The hell kind of brunches at five pm? Brunches the

704
00:42:59,800 --> 00:43:03,760
Speaker 1: combination of breakfast and lunch. Who eats that at five pm?

705
00:43:03,920 --> 00:43:07,319
Speaker 1: Unless you're waking up at noon. Even then, five pm

706
00:43:07,440 --> 00:43:09,640
Speaker 1: is still kind of late. What kind of night did

707
00:43:09,640 --> 00:43:13,920
Speaker 1: you have on Saturday? Anyway? Well, maybe that's why. Maybe

708
00:43:13,920 --> 00:43:16,320
Speaker 1: the Saturday night is what led to the Sunday five

709
00:43:16,440 --> 00:43:20,200
Speaker 1: pm brunch vicious fight that broke out over the check

710
00:43:23,160 --> 00:43:28,920
Speaker 1: In a terrifying escalation, two people ended up stabbed and

711
00:43:29,000 --> 00:43:32,680
Speaker 1: another one had a bottle smashed over their head due

712
00:43:32,719 --> 00:43:39,799
Speaker 1: to the check being picked up. What is the point

713
00:43:39,840 --> 00:43:42,080
Speaker 1: of wisdom that we can take here? Take away from here?

714
00:43:43,920 --> 00:43:48,319
Speaker 1: I will say this, I can understand that people would

715
00:43:48,360 --> 00:43:51,799
Speaker 1: be upset if a check was dropped off. And then

716
00:43:51,840 --> 00:43:54,200
Speaker 1: let's just say, hypothetically, we don't know the specific reasons

717
00:43:54,200 --> 00:43:57,879
Speaker 1: why of a group of four women, two people were

718
00:43:58,000 --> 00:44:01,040
Speaker 1: stabbed and all were sent to the high hospital over

719
00:44:01,120 --> 00:44:05,480
Speaker 1: the bill. I can only imagine that somebody did a

720
00:44:05,480 --> 00:44:08,120
Speaker 1: little bit of an aggressive order, and then when the

721
00:44:08,160 --> 00:44:12,040
Speaker 1: bill came, they said, let's go ahead and split this check. No, no, no,

722
00:44:12,040 --> 00:44:15,319
Speaker 1: no no. I got water in a salad. You got

723
00:44:15,360 --> 00:44:19,720
Speaker 1: a four hundred dollars bottle of champagne, and the most

724
00:44:19,760 --> 00:44:24,080
Speaker 1: expensive steak on the menu, and an appetizer and a dessert.

725
00:44:24,239 --> 00:44:27,480
Speaker 1: We're not gonna split this bill. My bill was fifteen dollars,

726
00:44:27,640 --> 00:44:31,320
Speaker 1: yours was nine hundred. This is not an equal sharing.

727
00:44:31,960 --> 00:44:34,960
Speaker 1: That is what possibly could lead you to, I don't know,

728
00:44:36,080 --> 00:44:38,920
Speaker 1: be in a stabby mood. Well, what is the wisdom

729
00:44:38,960 --> 00:44:44,040
Speaker 1: that you extrapolate this from this being cheap and cost

730
00:44:44,080 --> 00:44:46,400
Speaker 1: effective and in many ways is in many ways of virtue.

731
00:44:47,640 --> 00:44:51,719
Speaker 1: That is the wisdom that we should extrapolate from this situation. One,

732
00:44:52,560 --> 00:44:55,040
Speaker 1: buying expensive things for the soul's sake of them being

733
00:44:55,080 --> 00:44:58,759
Speaker 1: expensive is not cool. Nobody appreciates it, especially if you're

734
00:44:58,760 --> 00:45:00,480
Speaker 1: gonna try and split the bill with them.

735
00:45:00,680 --> 00:45:04,839
Speaker 2: And two, being mindful.

736
00:45:04,400 --> 00:45:07,520
Speaker 1: Of your costs some may call them cheap is also

737
00:45:07,640 --> 00:45:11,640
Speaker 1: a virtue. Two pieces of wisdom to take from this

738
00:45:11,680 --> 00:45:13,000
Speaker 1: week as you head on.

739
00:45:12,960 --> 00:45:13,680
Speaker 2: Into your weekend.

740
00:45:16,360 --> 00:45:19,600
Speaker 1: And lastly, uh, if you find yourself in a situation

741
00:45:19,640 --> 00:45:21,319
Speaker 1: where one you're trying to save some money and two

742
00:45:21,400 --> 00:45:24,520
Speaker 1: your friend is being completely insane with the spending, uh,

743
00:45:24,600 --> 00:45:27,239
Speaker 1: don't stab them. There's also there's three three points of

744
00:45:27,239 --> 00:45:30,640
Speaker 1: wisdom this week and wiser by the week. H get

745
00:45:30,680 --> 00:45:33,080
Speaker 1: to oh not mail bag. We're gonna get to the

746
00:45:33,160 --> 00:45:35,840
Speaker 1: payoff of the neighbor stories, which may be an ongoing

747
00:45:35,880 --> 00:45:39,520
Speaker 1: thing as I live in California and have several live neighbors.

748
00:45:39,960 --> 00:45:41,400
Speaker 1: But let me leave some time for that. Hey, we'll

749
00:45:41,400 --> 00:45:43,319
Speaker 1: be right back after the break tbttbus Hey dot com.

750
00:45:43,360 --> 00:45:43,839
Speaker 2: Don't go away.

751
00:45:54,600 --> 00:45:55,839
Speaker 9: This paychecks a bunch of brew.

752
00:45:55,880 --> 00:45:56,040
Speaker 5: Ha.

753
00:45:56,200 --> 00:45:58,120
Speaker 9: Are you guys tired of getting paid like crap?

754
00:45:58,160 --> 00:45:58,319
Speaker 3: Too?

755
00:45:58,640 --> 00:45:58,879
Speaker 8: Yeah?

756
00:45:59,000 --> 00:46:01,480
Speaker 9: Heck yeah, ten dollars an hour is not enough.

757
00:46:01,560 --> 00:46:02,560
Speaker 2: We deserve fifteen.

758
00:46:02,840 --> 00:46:05,520
Speaker 9: Yeah, yeah, it's time to stop letting the Big boss

759
00:46:05,520 --> 00:46:08,440
Speaker 9: man be so greedy. We're three men who are totally

760
00:46:08,480 --> 00:46:11,239
Speaker 9: heterosexual with distinct style and personality.

761
00:46:12,200 --> 00:46:13,200
Speaker 4: What's going on here?

762
00:46:13,280 --> 00:46:13,840
Speaker 1: We're poor?

763
00:46:13,960 --> 00:46:15,680
Speaker 3: Yeah, we need more money.

764
00:46:15,400 --> 00:46:18,080
Speaker 9: Sorry, big boss man. We need fifteen dollars an hour

765
00:46:18,239 --> 00:46:19,360
Speaker 9: or else we're not working.

766
00:46:19,480 --> 00:46:24,080
Speaker 4: I understand completely, Anthony, Malcolm, here are your paychecks, and Michael,

767
00:46:24,200 --> 00:46:27,480
Speaker 4: you're fired. What I can only afford thirty dollars an

768
00:46:27,520 --> 00:46:29,399
Speaker 4: hour of payroll, which means I have to let one

769
00:46:29,400 --> 00:46:31,839
Speaker 4: of you go, and Michael, you are by far our

770
00:46:31,880 --> 00:46:32,640
Speaker 4: worst employee.

771
00:46:32,680 --> 00:46:34,600
Speaker 9: But Sir, I need the money the most. This is

772
00:46:34,640 --> 00:46:35,680
Speaker 9: the best job I could get.

773
00:46:35,719 --> 00:46:36,840
Speaker 2: Please, all work.

774
00:46:36,680 --> 00:46:37,759
Speaker 9: For five dollars an hour.

775
00:46:37,880 --> 00:46:40,120
Speaker 4: I'm sorry, but thanks to the minimum waves laws that

776
00:46:40,200 --> 00:46:42,000
Speaker 4: you wanted, I can't afford you anymore.

777
00:46:42,080 --> 00:46:45,120
Speaker 9: Oh okay, I guess I shouldn't have petition for workers

778
00:46:45,160 --> 00:46:46,080
Speaker 9: to get more payd All.

779
00:46:46,080 --> 00:46:47,239
Speaker 4: Right, boys, you know what to do.

780
00:46:50,640 --> 00:46:53,200
Speaker 1: As a perfect example of libs and how they think,

781
00:46:54,160 --> 00:46:56,160
Speaker 1: which at the risk of taking too much time and

782
00:46:56,200 --> 00:47:00,279
Speaker 1: wanting to leave sometime transitions into how libs think. In

783
00:47:00,480 --> 00:47:03,560
Speaker 1: the place where I live, I've teased stories about my

784
00:47:03,680 --> 00:47:07,080
Speaker 1: lib neighbors. We've got several lib neighbors and several even

785
00:47:07,120 --> 00:47:10,200
Speaker 1: the email have been like, hey, give us some examples

786
00:47:10,200 --> 00:47:11,600
Speaker 1: of what happens. Oh, I'll tell you.

787
00:47:12,239 --> 00:47:13,680
Speaker 6: So let me just.

788
00:47:13,680 --> 00:47:14,680
Speaker 2: Preface it like this.

789
00:47:15,080 --> 00:47:17,120
Speaker 1: There are people in our neighborhood we see walking and

790
00:47:17,160 --> 00:47:18,000
Speaker 1: we're very cordial.

791
00:47:18,000 --> 00:47:20,439
Speaker 2: We're very kind to people because conservatives are very kind.

792
00:47:20,440 --> 00:47:23,280
Speaker 1: They're polite to everybody, and they don't hate people based

793
00:47:23,280 --> 00:47:27,719
Speaker 1: on their political affiliation, even though Libs and their political

794
00:47:27,760 --> 00:47:31,440
Speaker 1: affiliation are more worth hating than others. But there's this

795
00:47:31,560 --> 00:47:35,279
Speaker 1: couple that walks by our house fairly frequently walking their dog.

796
00:47:36,360 --> 00:47:40,799
Speaker 1: They're nice enough, they're kind, but we struck up many

797
00:47:40,800 --> 00:47:44,920
Speaker 1: a conversation with these folks, and we've learned that they

798
00:47:44,920 --> 00:47:47,000
Speaker 1: do not see the world the same way that we

799
00:47:47,080 --> 00:47:51,160
Speaker 1: see the world. They have mentioned on multiple occasions that

800
00:47:51,239 --> 00:47:53,399
Speaker 1: while we were gonna have to leave the country if

801
00:47:53,440 --> 00:47:56,600
Speaker 1: things get bad, they are those types of people. They

802
00:47:56,640 --> 00:48:02,279
Speaker 1: also have apparently taken multiple steps to actually moving out

803
00:48:02,280 --> 00:48:07,040
Speaker 1: of the country, to which I say good riddance. Obviously

804
00:48:07,080 --> 00:48:09,360
Speaker 1: if there I'll continue to be polite and say hello.

805
00:48:09,400 --> 00:48:12,759
Speaker 1: But one thing led to another, and because they're wanting

806
00:48:12,800 --> 00:48:14,680
Speaker 1: to move out of the country. They invited my wife

807
00:48:14,719 --> 00:48:19,640
Speaker 1: and I to go see their house with the possibility

808
00:48:19,680 --> 00:48:23,600
Speaker 1: of potentially buying it from them. I do not, and

809
00:48:24,080 --> 00:48:26,200
Speaker 1: we don't need to get into the reasons as to

810
00:48:26,239 --> 00:48:27,719
Speaker 1: why I do not want to buy that house. But

811
00:48:27,800 --> 00:48:33,000
Speaker 1: on the home tour we realized just how tds there.

812
00:48:33,600 --> 00:48:35,880
Speaker 1: They opened up the garage show was in the garage.

813
00:48:36,120 --> 00:48:39,240
Speaker 1: I kid you not, there was a Donald Trump punching

814
00:48:39,320 --> 00:48:44,120
Speaker 1: bag in the garage. Now, there's lots of things that

815
00:48:44,200 --> 00:48:46,920
Speaker 1: can be said about this, but what I think is

816
00:48:47,000 --> 00:48:50,440
Speaker 1: the biggest, broadest, most expansive.

817
00:48:50,040 --> 00:48:53,360
Speaker 2: Takeaway is how.

818
00:48:55,200 --> 00:48:59,720
Speaker 1: Libs think that their ideas are so ubiquitous, so shared,

819
00:48:59,760 --> 00:49:03,600
Speaker 1: and how confident they are to assume that, well, we

820
00:49:03,680 --> 00:49:07,760
Speaker 1: just clearly have the same belief now in the minimal

821
00:49:07,800 --> 00:49:09,880
Speaker 1: amount of time we have left here, I would like

822
00:49:09,960 --> 00:49:14,760
Speaker 1: to actually encourage conservatives to do the same thing my wife,

823
00:49:14,800 --> 00:49:17,440
Speaker 1: and my wife doesn't like that I do this, but

824
00:49:17,560 --> 00:49:21,400
Speaker 1: I assume that everybody I talk to now is conservative,

825
00:49:21,560 --> 00:49:23,640
Speaker 1: and mind you, libs are doing this all the time.

826
00:49:23,680 --> 00:49:26,280
Speaker 1: In other words, when we meet people, I don't ask

827
00:49:26,400 --> 00:49:28,799
Speaker 1: them like kind of tiptoey questions like how do you

828
00:49:28,800 --> 00:49:30,880
Speaker 1: see the world, I say, oh, what church do you

829
00:49:30,880 --> 00:49:33,879
Speaker 1: guys go do with the assumption that they go to church,

830
00:49:33,880 --> 00:49:36,520
Speaker 1: which then puts them in sometimes an awkward situation, or

831
00:49:36,560 --> 00:49:38,279
Speaker 1: it lets me know, Hey, their church going people that

832
00:49:38,320 --> 00:49:41,520
Speaker 1: we can trust and hang out with. Bottom line, libs

833
00:49:41,520 --> 00:49:45,440
Speaker 1: are going to be take assumptions on everybody around them

834
00:49:45,480 --> 00:49:48,080
Speaker 1: because they have a very narrow worldview. We should do

835
00:49:48,120 --> 00:49:50,960
Speaker 1: the same. Have a great weekend, try asking people where

836
00:49:50,960 --> 00:49:52,920
Speaker 1: they go to church. See you on Monday.

837
00:49:53,080 --> 00:49:59,800
Speaker 2: God bless America.