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Speaker 1: Hey, wake up. So I'm a big miss Rachel Standis

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Speaker 1: know that. I hope she gets like a Nobel Peace

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Speaker 1: Prize one day.

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Speaker 2: I'm at a Noble Peace price.

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Speaker 1: Yes, Nobel Peace Prize.

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Speaker 3: Okay, we're Nobel Peace Noble. She should get that one too.

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Speaker 1: Fred's Show is on.

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Speaker 2: It's Monday, March Sight. The Fred Show is on.

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Speaker 3: Hi Kaylin, good morning, Hi, Jason Brow, Hello, Paul Hiki,

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Speaker 3: Good morning show.

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Speaker 2: BS.

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Speaker 3: Shelley will be here next hour with the showdown with money.

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Speaker 3: Eight hundred bucks is the prize we got waiting by

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Speaker 3: the phone this morning.

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Speaker 2: Kanky score is coming up. Butt out, bump girl.

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Speaker 4: Let me see that guest list.

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Speaker 2: That was a three. That was a three.

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Speaker 1: Be good.

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Speaker 2: I was just wondering how long we go on.

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Speaker 1: For you?

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Speaker 3: Bella Hamenus year on the phone of the text eight

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Speaker 3: five five five nine one three five. The Entertainmer Report

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Speaker 3: blogs and headlines this hour. What are you working on?

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Speaker 2: Kay?

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Speaker 5: Shot shots fired at Rihanna's home. A whole community is

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Speaker 5: mad at Timothy Shallomey and gen Z has just discovered

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Speaker 5: Jfkate Junior and Carolyn Bassett and it shows and I

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Speaker 5: have to tell you what they're doing now that they've

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Speaker 5: discovered them, is.

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Speaker 2: That why everyone's talking about them?

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Speaker 5: Though? So there's a documentary, right, it's a show by

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Speaker 5: Ryan Murphy. It's an FX show, but it's on some

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Speaker 5: streaming services as well. It's the most watched FX show

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Speaker 5: in history now. But yes, that's why they're being brought

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Speaker 5: up and they're trying. Gen Z just found out about them,

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Speaker 5: so they're now trying to dress like them.

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Speaker 3: It's it's a whole thing that we need to do, right,

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Speaker 3: wasn't Somebody was like, yeah, tragic about that plane crash. Right,

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Speaker 3: I'm like, what what plane crash? Like you know JFK Junior?

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Speaker 3: Like that was thirty years ago or something twenty years ago,

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Speaker 3: the plane crash JFK Junior.

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Speaker 5: Yeah, people are discovering them, like Bella just found out

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Speaker 5: that that's how they died. Our producer and she texted

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Speaker 5: me like, why did no one tell me?

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Speaker 1: I'm like, girl, I didn't know. I had to tell you.

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Speaker 1: It was like one of the big like we learned

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Speaker 1: about it in school.

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Speaker 2: A lot of things have happened since then, Bella.

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Speaker 1: You know, so I didn't know they didn't.

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Speaker 3: Got to talk about Yeah, do you think you know

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Speaker 3: we have a breakroom here, and it's it's it's I mean,

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Speaker 3: I was sad. The breakroom itself is nasty, but like

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Speaker 3: elements of the breakroom are nasty.

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Speaker 2: Have you have you looked in that microwave lately? Oh no,

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Speaker 2: I don't go in there.

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Speaker 3: It's a science project. Like it's disgusting. Is are we

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Speaker 3: just have we given up on that? I think so

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Speaker 3: just throw it away. Honestly, I think I think we're

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Speaker 3: at a point where we might have to start over

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Speaker 3: again with like another another microwave. Entirely, I don't know

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Speaker 3: if that one could be cleaned. I was just wondering

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Speaker 3: if it was a we'll be appreciated that I just

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Speaker 3: took the honey and just sprayed it down my throat

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Speaker 3: this morning? Is that like a because I mean to look,

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Speaker 3: I gotta talk. We gotta make some money around here,

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Speaker 3: you know. So I just didn't forget. I mean, the

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Speaker 3: tea is just a too slow of a delivery method

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Speaker 3: for the to get the voice back. So I just

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Speaker 3: opened my mouth. I didn't touch it. My mouth didn't

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Speaker 3: touch the honey, I you know. Yeah, yeah, Well if

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Speaker 3: it's that big, my fault. If it's that big, then

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Speaker 3: if you're watching on YouTube. Then I'm proud of you,

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Speaker 3: you know. But that's a little larger.

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Speaker 2: That's that's it.

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Speaker 3: This is honey size, okay, little a little smaller might

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Speaker 3: be something else. You're sick, You're nasty. It's what time

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Speaker 3: is it? You're already thinking nasty. I can't even I

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Speaker 3: can't even squeeze honey in my mouth. Again we have

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Speaker 3: some kind of sexual comment from you.

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Speaker 6: I woke up like this.

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Speaker 1: Yeah, I had.

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Speaker 5: To beg for hand soap in the kitchen, and I'm naughty.

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Speaker 5: I wish I was lying. And then it turns out

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Speaker 5: we had some already here. We just for some reason

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Speaker 5: decided to put it away.

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Speaker 2: Oh really, yeah, well that's a parrot when you go

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Speaker 2: in there, there's no Yeah.

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Speaker 1: The budget is not budgeting.

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Speaker 2: We definitely hit the soap, there's no question about it.

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Speaker 1: We're hiding everything. I brought hot sauce from home.

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Speaker 3: Okyod what difference between clover honey and bee honey? By

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Speaker 3: the way, because we have clover not surprisingly clover honey

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Speaker 3: probably not.

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Speaker 2: I don't know. It's this clover honey, but like a

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Speaker 2: four leaf clover.

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Speaker 3: What again, I'm asking the same questioning out but It's like,

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Speaker 3: was there no be involved?

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Speaker 2: I thought we needed bees for this.

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Speaker 5: Clover honey is a popular, mildly sweet and light colored

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Speaker 5: honey produced by bees foraging on clover blossoms. Okay, it's

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Speaker 5: about where they forage, fred Okay, well forage.

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Speaker 2: Well, that's fine. Then as long as there's be involved,

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Speaker 2: I'm fine with him. There you go.

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Speaker 1: Did you want to know the flavor profile?

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Speaker 2: No, I just had something. It's sweet.

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Speaker 3: The flavor profile is sweet, and I recommend right out

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Speaker 3: of the bottle.

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Speaker 2: It's really nice. It's a nice thing.

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Speaker 3: You guys know that there are a lot of things

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Speaker 3: about well, I mean the breakroom one. But there are

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Speaker 3: a lot of things about the work environment that annoy me,

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Speaker 3: which is why I just don't know that I would

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Speaker 3: survive very well in a normal work environment. I mean,

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Speaker 3: this is just a better place for me all around,

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Speaker 3: And that in itself is a shocking statement, that this

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Speaker 3: is a better place for me all around.

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Speaker 2: I don't know.

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Speaker 3: I mean, maybe i'd like the pace of a I

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Speaker 3: feel like a normal work day has a little bit

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Speaker 3: more of a leisurely paced for a lot of people,

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Speaker 3: not everybody, but for a lot of people.

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Speaker 2: But but I have a special.

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Speaker 3: Annoyance with the corporate buzz terms that don't really just

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Speaker 3: they're just words.

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Speaker 2: You know what I mean? And it's just like who

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Speaker 2: came up with this stuff? I know who came up

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Speaker 2: with this?

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Speaker 3: Someone at the very top of the food chain, and

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Speaker 3: then everybody beneath them repeats it, thinking, well, because the

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Speaker 3: because the thought leader said it, well, then it must

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Speaker 3: be smart for me to say, you know what I mean,

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Speaker 3: Like if I heard the chairman say it, obviously, and

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Speaker 3: I might call our chairman as just just as an experiment,

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Speaker 3: and and and he and I may make one up

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Speaker 3: and just to see if he'll use it, and just

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Speaker 3: to see how many people repeat it. And I don't know,

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Speaker 3: I haven't decided what I want the made up term

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Speaker 3: to be, Okay, you know, but I I just I

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Speaker 3: want to come up with something, and I want him

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Speaker 3: to say it in a meeting with a bunch of

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Speaker 3: other people, and I just want to then I just

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Speaker 3: want them for a week. I want to marinate and

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Speaker 3: watch people in our meetings, like our boss be like, well,

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Speaker 3: you know you, we just got to squeeze the apple

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Speaker 3: tree from the bottom.

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Speaker 6: It's like taking clover honey from the bottle.

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Speaker 2: Right right, you know what this right now?

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Speaker 3: Our current climate, it's just like taking clover honey from

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Speaker 3: the bottom. Write somebody hear me say it, I swear

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Speaker 3: if we make something up, someone your repeat it like

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Speaker 3: there's more than all of us. But I'm so happy

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Speaker 3: about this because a new study from Cornell suggests that

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Speaker 3: employees who are impressed by vague corporate buzzwords may actually

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Speaker 3: be worse at practical decision making, which doesn't surprise me,

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Speaker 3: because you're just copying.

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Speaker 2: You're not thinking about it, You're just copying.

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Speaker 3: Researchers examine how people react to corporate jargon like synergistic

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Speaker 3: leadership or growth hacking paradigms. They even created a corporate

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Speaker 3: BS generator that produced impressive sounding but meaningless statements and

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Speaker 3: ask more than a thousand workers to rate them. The

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Speaker 3: results showed that workers who found this kind of language

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Speaker 3: inspiring were more likely to see leaders as charismatic and visionary,

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Speaker 3: but they also scored lower on tests of analytical thinking,

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Speaker 3: cognitive reflection, and workplace decision making.

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Speaker 2: That's because they're followers. You're not using your brain.

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Speaker 3: Researchers say that this can create a negative cycle in

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Speaker 3: organizations Employees who fall for flashy buzzwords may help promote

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Speaker 3: leaders who use that language, even if the ideas lack substance.

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Speaker 2: What's the one that comes to mind for you? Let's

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Speaker 2: just overuse an annoying.

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Speaker 7: There's like three right now. We got to go in

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Speaker 7: the think tank. That just sounds scary.

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Speaker 2: Think tank.

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Speaker 7: We're going to table this for after the meeting because

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Speaker 7: I don't want to have another meeting after the meeting.

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Speaker 6: Let's just talk about it now. We don't need no table.

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Speaker 6: Let's just talk about it.

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Speaker 3: Think tank. By the way, I'd love to know where

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Speaker 3: it is. I'd like to go in it. It's metaphorical.

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Speaker 3: It's a feeling, right, Okay, right.

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Speaker 2: And what's the third one?

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Speaker 6: I'll the table. We're gonna circle back.

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Speaker 2: Yeah, we've been circling back for a long time.

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Speaker 7: Yeah, we're circling back after the holidays. We're circling back

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Speaker 7: right now. I'm like, we'll circle back once I can walk,

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Speaker 7: you know, yeah, readdress.

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Speaker 2: No, I get it.

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Speaker 3: I'm looking at a list of these things, though, I

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Speaker 3: think it's the same list I always go to when

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Speaker 3: I'm annoyed with these paradigm shift Essentially the same thing

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Speaker 3: as move the needle, but it sounds more intelligent and

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Speaker 3: thought provoking. A paradigm shift represents a fundamental change in

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Speaker 3: the business model.

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Speaker 2: We can't make a paradigm shift here.

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Speaker 3: You guys have to unbelievable and we got to make

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Speaker 3: sure that we grab the low hanging fruit. Oh we

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Speaker 3: had a boss who love that one. Oh my goshd

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Speaker 3: more on everything was low hanging fruit. Like, dude, we're

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Speaker 3: out of fruit. Bro I ate all the low hanging fruit.

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Speaker 6: I'm higher in the tree.

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Speaker 3: Somebody getting a tree, climb up there, drop the fruit

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Speaker 3: onto me.

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Speaker 1: The one that cracked me up recently.

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Speaker 5: Remember, it's like like, you guys do that, and I'm

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Speaker 5: just I'm gonna lead in.

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Speaker 3: You know.

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Speaker 1: It's like, what does that have to do?

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Speaker 8: Oh?

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Speaker 6: You guys do the work and I'll just yeah, support you.

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Speaker 1: Okay, yeah, you'll support like I'm going to lean in.

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Speaker 1: That's what I'm gonna do.

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Speaker 3: A lot of these are not I don't know, run

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Speaker 3: it up the flagpole, see if the cat licks it up.

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Speaker 2: Now, now, hold on a minute. That's now. I would

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Speaker 2: like to hear our chairman.

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Speaker 3: Use that one and then watch that get repeated whole day.

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Speaker 2: It's weird. I don't know.

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Speaker 3: I guess it's supposed to be like let's just put

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Speaker 3: it out there and see if our customers will like it.

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Speaker 1: If you work in like a pet store. I don't know.

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Speaker 2: I think we're being too literal with that one.

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Speaker 1: I'm just I've never heard that around here.

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Speaker 3: YEA, well, no, I mean I hope. I hope today

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Speaker 3: it starts getting used. Oh if someone were to say

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Speaker 3: the iPod of whatever industry, you know, meaning like we

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Speaker 3: just reinvented, you know, like, well, you know it's like

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Speaker 3: the iPod of radio.

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Speaker 1: Why can't we just talk like why do we have

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Speaker 1: to like judge it up?

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Speaker 3: No, but look, Camlin, don't throw the baby out with

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Speaker 3: the bath water.

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Speaker 1: Okay, I would never throw a baby.

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Speaker 6: No, I always do that.

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Speaker 2: Yeah, you throw the baby out with the bath water?

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Speaker 3: Does that mean?

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Speaker 6: What does that mean?

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Speaker 7: It's like I don't know, Like to me, it's like

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Speaker 7: something just being dramatic, like one thing goes wrong and

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Speaker 7: you're like, just.

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Speaker 6: Just screw the whole thing. We'll start off something new.

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Speaker 1: I'm taking my ball and I'm going basically.

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Speaker 2: Here's one that applies to this place. Hope is not

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Speaker 2: a strategy.

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Speaker 3: Yeah, Okay, so hard that really that that one touched me. Honestly,

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Speaker 3: Hope is not a strategy. A T shirt, Yeah, honestly,

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Speaker 3: you print that one up, merch store, merch store, print

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Speaker 3: it up. We're gonna sell it. Hope is not a strategy. Yes, boy,

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Speaker 3: don't we run on that around here at some of

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Speaker 3: the highest levels.

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Speaker 2: Is it bridge?

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Speaker 3: It is? Hey, Bridget, good morning, corporate saying that you

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Speaker 3: can't stand.

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Speaker 8: Put it in the parking lots, oh, which means which

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Speaker 8: means that they don't have the answer, so you put

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Speaker 8: it in the parking lot so they can go research

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Speaker 8: the answer and and get back to you later.

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Speaker 1: That's ridiculous.

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Speaker 3: Table in the park Okay, so yeah, we're tabling it,

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Speaker 3: but instead we're changing the venue that the tables in

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Speaker 3: the parking lot. Yeah okay, yeah, no, all right, no,

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Speaker 3: I'm understanding. Thank you, Bridget.

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Speaker 2: All right, you have a good day. Ye let me

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Speaker 2: see we'll.

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Speaker 7: Talk about this offline. That always that one always hears, no, no,

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Speaker 7: just do it.

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Speaker 3: Right here, right here, right now, No publicly you hear

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Speaker 3: right here all the time. Is the critical mass?

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Speaker 6: I don't know what that means.

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Speaker 3: I hear the critical mass all the time. Yeah, it's

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Speaker 3: like we got to bring it to the critical mass,

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Speaker 3: like okay, all right, well I'm going just talk in

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Speaker 3: this microphone. Hopefully the critical mass it tends. I don't

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Speaker 3: know you, right, Hello, I'm really hoping for it. The

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Speaker 3: biggest stories of the day. So, we had tornadoes this

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Speaker 3: weekend while we meaning this country, did we not meaning

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Speaker 3: me specifically or any of you, I hope. So your

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Speaker 3: weather system spawned a tornado outbreak in parts of the

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Speaker 3: Midwest and the Plains. Four people were confirmed dead in

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Speaker 3: Michigan on Friday, and the deadliest tornado outbreak that the

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Speaker 3: state has seen in decades. The strongest twister was an

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Speaker 3: EF three. Now you're a weather guy, Jason, I know

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Speaker 3: you love a weather situation, of meteorology, situation situation. We're

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Speaker 3: from the meteorologists that you're into the right more than

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Speaker 3: the science. Yeah, yeah, I'm here. But an EF three

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Speaker 3: tornado tour through Union City, killing three people, and that

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Speaker 3: was the deadliest twister to hit Michigan since nineteen eighty

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Speaker 3: And that one was in Kalamazoo, which I know you

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Speaker 3: know that because you're a weather historian. Of course, in

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Speaker 3: Oklahoma and EF two tornado killed a mother and daughter well.

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Speaker 3: Another twister left two dead. Over a dozen confirmed tornadoes

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Speaker 3: have touchdown in both states over the past few days.

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Speaker 3: If you're going to the airport in the next few days,

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Speaker 3: I have bad news again. There's a partial government shutdown

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Speaker 3: going on again, and travelers are complaining about long wait

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Speaker 3: lasting hours and hours in some cases in Houston and

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Speaker 3: New Orleans, three to four hours. They're saying, three to

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Speaker 3: four hours of security lines to get to the gate

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Speaker 3: so that I can go get my cinnabon. I got

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Speaker 3: to wait three to four hours to get my cinabie,

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Speaker 3: to go to Chili's two right, to get to the

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Speaker 3: macaroni grill. You know, people swear about that frontra in O'Hare.

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Speaker 3: They swear every time I walk by, it's like there's

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Speaker 3: a line around the building. I'm like, you know, they

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Speaker 3: got a few of these, Like they got real restaurants.

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Speaker 3: You don't have to Maybe it's the best of the options.

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Speaker 3: I don't know, but officials are blaming these long lines

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Speaker 3: and the government shutdown. The estimated wait time at the

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Speaker 3: standard security checkpoint at William P. Hobby Airport in Houston

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Speaker 3: was at one point three hours. The Hobby Airport and

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Speaker 3: social media said that it was expecting longer lines than average.

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Speaker 3: To arrive three to four hours early, in some cases,

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Speaker 3: four to five hours early for your flight. Now, you know,

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Speaker 3: if I show up five hours early, then I'll walk

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Speaker 3: right through. If I show up an hour early, it'll

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Speaker 3: be four hours long. That's just how it works. If

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Speaker 3: I'm early, I just cruised through. They don't even They

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Speaker 3: don't even scan my bag. They just wave at me.

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Speaker 3: You know, they don't check my I D nothing, you know,

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Speaker 3: they just wait, Fred, how you doing? The flight's over there,

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Speaker 3: you know, and I just walk right so you can

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Speaker 3: come through the exit this time.

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Speaker 2: It's fine, you know, like we know you you're good.

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Speaker 5: Yeah.

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Speaker 3: But if I show up and I've got fifteen minutes

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Speaker 3: to spare because there was traffic or something, it'll be like,

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Speaker 3: oh no, take your pants off, bro, we're gonna be

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Speaker 3: here for a while. They pull out some swab, like

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Speaker 3: what is this? Go to the back room. Yes, exactly.

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Speaker 3: I mean you were traveling, how long was you? You

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Speaker 3: had VIP treatment? I noticed it was so beautiful, But

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Speaker 3: I mean, did you have to go through normal security

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Speaker 3: or did you get like fanned the whole time and

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Speaker 3: they didn't.

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Speaker 4: In Chicago, I had to be regular but out of

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Speaker 4: town about which treea nicer? Which is crazy? So New

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00:14:58,640 --> 00:15:01,400
Speaker 4: York was beautiful, but check Igo was like, ma'am. I

337
00:15:01,440 --> 00:15:04,360
Speaker 4: actually went through the like priority line to check my

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Speaker 4: bag and the girl told me just go up to

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Speaker 4: the front.

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Speaker 1: I get to the front, She's like, you have pre check.

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Speaker 4: I was like no, She's like, you have clear I

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Speaker 4: was like no. She said back to the line, broken

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Speaker 4: way to the bag and wait in line with everybody else.

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Speaker 4: And now I'm considering tsa pre check for once in

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Speaker 4: my life.

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Speaker 2: You need to do it. It's time.

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Speaker 3: It is like a Staples and get it now, can't you?

348
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Speaker 3: Like when I got it a million years ago. You

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Speaker 3: had to drive to the airport and you had to

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Speaker 3: park your car like you were going somewhere by the way.

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Speaker 2: Yeah, going to the airport when you're not going anywhere.

352
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Speaker 3: It is very like is not to pick someone that

353
00:15:37,520 --> 00:15:40,360
Speaker 3: you love up is very depressing. Like I'm sitting in

354
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Speaker 3: trying for an hour and a half. At least I'm

355
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Speaker 3: excited to go to my destination. No I pulled up,

356
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Speaker 3: walked in, no bag. No, you know, I had to

357
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Speaker 3: sit there for a while. Get interviewed. Yeah, yeah, no,

358
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Speaker 3: it's time. No, it really is time. Like I thought

359
00:15:54,360 --> 00:15:56,040
Speaker 3: of you because there were so many people just walking

360
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Speaker 3: past me.

361
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Speaker 4: Maybe start with a very real laity first, maybe, well

362
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Speaker 4: you ain't talking.

363
00:16:05,760 --> 00:16:10,640
Speaker 2: Realize I got an appointment. You don't even have the

364
00:16:10,680 --> 00:16:12,800
Speaker 2: real idea. You have the appointments in the real idea.

365
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Speaker 7: We've had so many will never show up.

366
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Speaker 3: She blocked a place out of the whole day and

367
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Speaker 3: never knows get it in order.

368
00:16:26,520 --> 00:16:28,480
Speaker 1: But that's crazy.

369
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Speaker 3: I was in Charlotte last week and I got to

370
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Speaker 3: the airport and I walk in there and they have

371
00:16:32,840 --> 00:16:35,800
Speaker 3: like the regular security, you know, the regular s regular

372
00:16:35,960 --> 00:16:37,680
Speaker 3: and then they have the t S A pre check,

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Speaker 3: which of course I have because you know, of course

374
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Speaker 3: I do.

375
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Speaker 2: And global entry. You need global entry.

376
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Speaker 6: Too, what's that?

377
00:16:44,840 --> 00:16:47,160
Speaker 3: That's only if you're traveling, which I don't travel that

378
00:16:47,560 --> 00:16:48,920
Speaker 3: off and you know, out of the country.

379
00:16:48,920 --> 00:16:51,680
Speaker 2: But like it's pretty like that is what I described.

380
00:16:51,720 --> 00:16:53,520
Speaker 1: Are you like every continent this year?

381
00:16:53,640 --> 00:16:55,920
Speaker 3: I'm trying to but they're like they just scan your

382
00:16:55,960 --> 00:16:58,720
Speaker 3: face and you're like, hey, you're cool, bro, welcome back,

383
00:16:59,120 --> 00:17:02,760
Speaker 3: welcome back, homie, like they just skin good. Kiki saw

384
00:17:02,760 --> 00:17:06,200
Speaker 3: it firsthand, coming back from Toronto and oh boy.

385
00:17:06,200 --> 00:17:06,880
Speaker 2: He's a pilot.

386
00:17:07,080 --> 00:17:08,640
Speaker 1: So I was like, oh, hey, he got it because

387
00:17:08,640 --> 00:17:09,159
Speaker 1: he's a pilot.

388
00:17:09,200 --> 00:17:10,800
Speaker 2: Then I saw our boat go, I'm like, it's not

389
00:17:10,880 --> 00:17:11,359
Speaker 2: a pilot.

390
00:17:11,800 --> 00:17:18,919
Speaker 3: Yeah, pilot is great, it's any pilot of anything. I

391
00:17:19,000 --> 00:17:21,399
Speaker 3: just flashed my pilot's slcense. Everywhere I go they just

392
00:17:21,480 --> 00:17:24,640
Speaker 3: let me through. You don't do that, Yeah, they don't care,

393
00:17:25,440 --> 00:17:28,280
Speaker 3: but I see it. There's like no line for normal security,

394
00:17:28,480 --> 00:17:31,000
Speaker 3: and then there's like a line for pre check, and

395
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Speaker 3: I'm like, I don't want to take my shoes off,

396
00:17:33,920 --> 00:17:36,000
Speaker 3: So I waited in line. I waited in line. I

397
00:17:36,040 --> 00:17:37,679
Speaker 3: could have gone to the other one. I would have

398
00:17:37,680 --> 00:17:39,280
Speaker 3: had to taken my shoes off, that's all it would

399
00:17:39,280 --> 00:17:41,120
Speaker 3: have happened. And I would have you know, I would

400
00:17:41,119 --> 00:17:43,720
Speaker 3: have been at the Chili's to go way faster. But

401
00:17:43,760 --> 00:17:46,919
Speaker 3: instead I'm like, no, no, no, I'll wait for tsa

402
00:17:47,000 --> 00:17:50,760
Speaker 3: pre check. It's fine, big long line anyway. So I guess'

403
00:17:50,760 --> 00:17:52,840
Speaker 3: supposed show up to the airport four to five hours early.

404
00:17:52,920 --> 00:17:55,359
Speaker 1: Now, yeah, it's wild at the airport right now.

405
00:17:57,520 --> 00:17:59,400
Speaker 2: So this is for you, Paulina.

406
00:17:59,680 --> 00:18:02,159
Speaker 3: You know, I I could tailor the biggest stories of

407
00:18:02,160 --> 00:18:04,280
Speaker 3: the day to all of you in this room. Using

408
00:18:04,320 --> 00:18:07,520
Speaker 3: too many AI tools can cause brain fry. This is

409
00:18:07,520 --> 00:18:12,040
Speaker 3: according to a new study. They suggest that AI may

410
00:18:12,040 --> 00:18:15,000
Speaker 3: be giving some workers what researchers are calling brain fry.

411
00:18:15,040 --> 00:18:18,040
Speaker 3: The study from the Harvard Business Review, which I trust at,

412
00:18:18,440 --> 00:18:22,120
Speaker 3: found that people are constantly using multiple AI tools, those

413
00:18:22,119 --> 00:18:25,600
Speaker 3: people reported more decision fatigue and more errors. The study

414
00:18:25,640 --> 00:18:28,320
Speaker 3: also found that AI can reduce burnout as well as

415
00:18:28,359 --> 00:18:32,000
Speaker 3: creative The study revealed that less brain fry was seen

416
00:18:32,040 --> 00:18:35,720
Speaker 3: among employees whose managers were intentional with their AI use.

417
00:18:36,960 --> 00:18:39,560
Speaker 3: One consulting group and the author of the studies says

418
00:18:39,600 --> 00:18:42,879
Speaker 3: the findings are an early warning sign that expectations around

419
00:18:42,880 --> 00:18:47,320
Speaker 3: AI productivity may need recalibrating. I think we mentioned this

420
00:18:47,400 --> 00:18:49,840
Speaker 3: last week, but it's been confirmed. Bad Bunny's halftime show

421
00:18:50,080 --> 00:18:53,359
Speaker 3: shattered records. The Super Bowl halftime show was bigger than

422
00:18:53,400 --> 00:18:56,320
Speaker 3: originally thought. Apple Music, the NFL, and Rock Nation are

423
00:18:56,320 --> 00:19:00,600
Speaker 3: confirming that Bad Bunnies halftime show shattered the global viewership record.

424
00:19:01,000 --> 00:19:04,560
Speaker 3: The Apple Music Super Bowl sixty halftime show rolls Off

425
00:19:04,560 --> 00:19:09,400
Speaker 3: the Tongue drew over four point one billion views worldwide

426
00:19:09,440 --> 00:19:12,359
Speaker 3: Baby in twenty four hours across the global broadcast. So

427
00:19:12,520 --> 00:19:14,240
Speaker 3: for all of you who made a big stink about

428
00:19:14,600 --> 00:19:17,439
Speaker 3: not Bad Money not doing it. All you did, I

429
00:19:17,440 --> 00:19:20,320
Speaker 3: think was draw more eyes to it. So that's the thing,

430
00:19:20,640 --> 00:19:23,000
Speaker 3: you know, when people are like, oh my god, this

431
00:19:23,160 --> 00:19:26,000
Speaker 3: is terrible. This is so terrible for the world. Okay,

432
00:19:26,040 --> 00:19:29,320
Speaker 3: well I gotta check this out. I gotta make sure

433
00:19:29,359 --> 00:19:29,960
Speaker 3: I watch that.

434
00:19:30,119 --> 00:19:32,280
Speaker 5: But also like, okay, think about it, like your family

435
00:19:32,359 --> 00:19:34,480
Speaker 5: back in like Columbia or something like, people were watching

436
00:19:34,520 --> 00:19:35,840
Speaker 5: all over the world because well.

437
00:19:35,720 --> 00:19:38,000
Speaker 1: Hey, they love bad Money and they know who he is. Like,

438
00:19:38,119 --> 00:19:39,000
Speaker 1: no shade, no tea.

439
00:19:39,000 --> 00:19:40,840
Speaker 4: I don't think you know, my family back in wherever

440
00:19:40,960 --> 00:19:43,080
Speaker 4: is going to watch, you know, the who like people

441
00:19:43,080 --> 00:19:44,359
Speaker 4: aren't having parties.

442
00:19:43,960 --> 00:19:46,359
Speaker 2: And tuning in fornt of it is huge in Poland,

443
00:19:46,440 --> 00:19:47,560
Speaker 2: well huge, jar.

444
00:19:47,600 --> 00:19:50,119
Speaker 4: Well you would know I went into However, all I

445
00:19:50,240 --> 00:19:52,159
Speaker 4: know is that bad Bunny.

446
00:19:51,880 --> 00:19:52,360
Speaker 1: Did his thing.

447
00:19:52,680 --> 00:19:53,040
Speaker 6: That's it.

448
00:19:53,040 --> 00:19:55,320
Speaker 3: I would know because I'm going to Poland next month,

449
00:19:56,200 --> 00:19:59,040
Speaker 3: my ambassador. Yeah, okay, well I gotta I gotta go it.

450
00:19:59,080 --> 00:20:01,199
Speaker 3: I'll come back and report tell my mom about on

451
00:20:01,240 --> 00:20:04,120
Speaker 3: how big your mom's got to be stoked excited. I'm

452
00:20:04,119 --> 00:20:08,000
Speaker 3: going to the homeland. I'm going to the homeland. I know, well,

453
00:20:09,800 --> 00:20:14,080
Speaker 3: today I am attending. That could change tomorrow. We're depending

454
00:20:14,119 --> 00:20:17,000
Speaker 3: on what these bozos around here beside. Yeah. Really, I

455
00:20:17,000 --> 00:20:19,800
Speaker 3: have not seen a ticket yet, but I have been

456
00:20:19,840 --> 00:20:23,440
Speaker 3: invited to Poland by the country of Poland, supposedly period

457
00:20:23,800 --> 00:20:26,440
Speaker 3: the country via a woman named Cocaine.

458
00:20:28,040 --> 00:20:30,119
Speaker 2: There's a woman in Coco negotiating this.

459
00:20:30,240 --> 00:20:31,520
Speaker 6: It's just going to meet you in the back alley

460
00:20:31,600 --> 00:20:31,960
Speaker 6: with Rocher.

461
00:20:32,520 --> 00:20:32,840
Speaker 2: Yeah.

462
00:20:33,320 --> 00:20:33,560
Speaker 8: I know.

463
00:20:33,680 --> 00:20:36,960
Speaker 3: She now has my ID and my passport information, which

464
00:20:36,960 --> 00:20:39,200
Speaker 3: I heard from her and my Social Security member.

465
00:20:39,240 --> 00:20:41,600
Speaker 2: For some reason, she wanted my bank routing information. I

466
00:20:41,640 --> 00:20:42,240
Speaker 2: don't know why.

467
00:20:42,680 --> 00:20:45,000
Speaker 3: All I know is she has all of that and

468
00:20:45,119 --> 00:20:47,480
Speaker 3: I haven't heard a word. But supposedly I'm going to

469
00:20:47,480 --> 00:20:50,320
Speaker 3: Poland next month. I don't know. Well, yeah, well we'll

470
00:20:50,320 --> 00:20:52,800
Speaker 3: see the Motherland. I gotta go get in line now,

471
00:20:53,200 --> 00:20:57,760
Speaker 3: just in case I am going. No, it's I That's

472
00:20:57,760 --> 00:20:58,200
Speaker 3: what I'm.

473
00:20:58,040 --> 00:21:01,160
Speaker 1: About, going to Europe. We're going on our own honeymoon.

474
00:21:01,200 --> 00:21:01,680
Speaker 1: We're going.

475
00:21:03,000 --> 00:21:04,840
Speaker 2: Don't give me stn't get me started on that. I

476
00:21:04,880 --> 00:21:05,159
Speaker 2: will not.

477
00:21:05,400 --> 00:21:07,679
Speaker 3: Well that's a topic for another day. But yes, I

478
00:21:07,720 --> 00:21:10,360
Speaker 3: am taking myself on a honeymoon this year. I decided

479
00:21:10,520 --> 00:21:15,160
Speaker 3: it's not happening in real life, so I'm I'm uh.

480
00:21:14,440 --> 00:21:16,160
Speaker 1: Yeah, be the change you want to see.

481
00:21:16,440 --> 00:21:19,159
Speaker 2: Fred Hayter, what's his name is not it's not Lauren.

482
00:21:19,200 --> 00:21:21,240
Speaker 3: He just he lets us call him by his wife's name,

483
00:21:21,240 --> 00:21:25,359
Speaker 3: which is because he's Yeah, Fred's opinion, if it doesn't

484
00:21:25,400 --> 00:21:26,840
Speaker 3: match mine, then it's wrong.

485
00:21:27,520 --> 00:21:29,720
Speaker 2: What did I What have we disagreed about?

486
00:21:30,000 --> 00:21:30,280
Speaker 1: Also?

487
00:21:30,359 --> 00:21:32,919
Speaker 2: Like what I mean, I do have a lot of

488
00:21:33,920 --> 00:21:35,880
Speaker 2: My opinion is pretty great at.

489
00:21:35,760 --> 00:21:37,439
Speaker 1: About seven am with a disagreement.

490
00:21:37,600 --> 00:21:39,520
Speaker 3: Yeah, I was gonna say, I think we've all been

491
00:21:39,520 --> 00:21:42,639
Speaker 3: pretty copasetic so far today. Yeah, he just had to

492
00:21:42,680 --> 00:21:44,760
Speaker 3: get that in there. You know, it's not a day

493
00:21:44,800 --> 00:21:47,919
Speaker 3: unless someone tells me how much I suck. Thank you

494
00:21:48,000 --> 00:21:52,200
Speaker 3: for listening again. This guy's been listening for years.

495
00:21:51,880 --> 00:21:53,280
Speaker 1: So he's a one and I love that.

496
00:21:53,359 --> 00:21:57,000
Speaker 2: I do too. I do too. Yeah.

497
00:21:57,160 --> 00:22:01,240
Speaker 3: I can't imagine complaining about something every gold day. Yeah, like,

498
00:22:01,240 --> 00:22:03,440
Speaker 3: what a miserable way to start your day and then

499
00:22:03,560 --> 00:22:06,800
Speaker 3: quoting the thing that I hate so much. It's amazing. Anyway,

500
00:22:06,840 --> 00:22:08,639
Speaker 3: have a good day, John, for sure. The people of

501
00:22:08,720 --> 00:22:12,080
Speaker 3: Butler are really proud of you. Gen Z is bringing

502
00:22:12,119 --> 00:22:17,440
Speaker 3: back mall shopping. Now we want mall shopping. Younger consumers

503
00:22:17,560 --> 00:22:20,040
Speaker 3: are heading back to the stores I guess motivated by

504
00:22:20,040 --> 00:22:23,760
Speaker 3: TikTok influencers and a desire for hands on experiences. Last year,

505
00:22:23,800 --> 00:22:27,160
Speaker 3: buyers between eighteen and twenty four purchased sixty two percent

506
00:22:27,200 --> 00:22:30,760
Speaker 3: of their goods in person. In response, malls are retrofitting

507
00:22:30,800 --> 00:22:33,600
Speaker 3: spaces with social media friendly designs.

508
00:22:34,040 --> 00:22:36,800
Speaker 2: Oh what does that mean? Little photo activation?

509
00:22:37,200 --> 00:22:40,920
Speaker 9: Probably step repeats everywhere. I don't know what sasty booths. Yeah,

510
00:22:40,960 --> 00:22:43,359
Speaker 9: have you been to the mall lately? Like there's places

511
00:22:43,400 --> 00:22:45,720
Speaker 9: to go in just to take Instagram photos. There's all

512
00:22:45,760 --> 00:22:48,680
Speaker 9: those like international markets that are like you can take

513
00:22:48,720 --> 00:22:49,920
Speaker 9: photos like it's crazy.

514
00:22:50,040 --> 00:22:52,000
Speaker 6: Yeah, Like there's stores everywhere.

515
00:22:51,640 --> 00:22:53,359
Speaker 1: So now to go get I'm not gonna sell men.

516
00:22:53,359 --> 00:22:55,040
Speaker 3: To go get some underwear, I gotta take a three

517
00:22:55,080 --> 00:22:59,399
Speaker 3: six shot with your shopping doing a little boogie, you know,

518
00:22:59,560 --> 00:23:01,880
Speaker 3: Like yeah right, they.

519
00:23:01,760 --> 00:23:04,679
Speaker 4: Should do that though, like for fitting rooms, because girls

520
00:23:04,720 --> 00:23:06,560
Speaker 4: like to go in there and do their try on halls.

521
00:23:06,600 --> 00:23:08,240
Speaker 4: They don't buy anything, but they go in there and

522
00:23:08,240 --> 00:23:09,800
Speaker 4: playing on people clothes and.

523
00:23:11,280 --> 00:23:12,600
Speaker 6: Yeah, so it could happen.

524
00:23:13,080 --> 00:23:14,160
Speaker 2: Yeah, I don't know.

525
00:23:14,680 --> 00:23:17,119
Speaker 3: I will say that there are a number of things,

526
00:23:17,400 --> 00:23:20,199
Speaker 3: and especially as it comes to like variet, I mean,

527
00:23:20,359 --> 00:23:21,960
Speaker 3: so you have all the variety in the world on

528
00:23:21,960 --> 00:23:24,400
Speaker 3: the internet, right, you can get anything you possibly want,

529
00:23:24,440 --> 00:23:26,320
Speaker 3: you can watch anything you want, you can buy anything

530
00:23:26,359 --> 00:23:29,240
Speaker 3: you want, even to our detriment. But there was something

531
00:23:29,280 --> 00:23:32,240
Speaker 3: about going to the mall, like with your friends on

532
00:23:32,359 --> 00:23:36,240
Speaker 3: Saturday and running into other kids. It was a social thing, yes,

533
00:23:36,480 --> 00:23:38,200
Speaker 3: But I don't know how many kids even care about

534
00:23:38,200 --> 00:23:40,880
Speaker 3: that anymore because a lot of my friends kids, they

535
00:23:40,920 --> 00:23:42,639
Speaker 3: have a lot of friends, they just don't want to

536
00:23:42,640 --> 00:23:44,600
Speaker 3: talk to them in person. They'd rather text them or

537
00:23:44,600 --> 00:23:46,919
Speaker 3: talk to them in a video game or something. But

538
00:23:46,960 --> 00:23:49,160
Speaker 3: I mean there was something like on Saturday, like, Hey,

539
00:23:49,240 --> 00:23:50,919
Speaker 3: drive me to the mall. I meet up with my buddies.

540
00:23:50,920 --> 00:23:52,720
Speaker 3: The girl group would be there. We'd go to the

541
00:23:52,720 --> 00:23:55,080
Speaker 3: food court. My dad would give me twenty bucks or something.

542
00:23:55,280 --> 00:23:56,359
Speaker 3: We'd go to Sabra Ro.

543
00:23:56,800 --> 00:23:58,680
Speaker 1: Yeah Victoria's Secret.

544
00:23:58,840 --> 00:24:01,880
Speaker 3: Yeah right, I mean, but like if you felt like there,

545
00:24:01,920 --> 00:24:03,600
Speaker 3: I mean, I couldn't have money for anything, but it

546
00:24:03,720 --> 00:24:06,320
Speaker 3: felt like you could eat anything and have anything, and

547
00:24:06,720 --> 00:24:08,159
Speaker 3: you could go look at all the stuff that you

548
00:24:08,200 --> 00:24:10,639
Speaker 3: aspired to have, you know, for your birthday or whatever.

549
00:24:10,840 --> 00:24:13,640
Speaker 5: Now I don't know, like Amazon, Alexa, you know, buy

550
00:24:13,720 --> 00:24:15,639
Speaker 5: me this and then it just comes.

551
00:24:15,840 --> 00:24:17,719
Speaker 3: Yeah, there was just something about it and I get it.

552
00:24:17,760 --> 00:24:20,440
Speaker 3: Like even the video store experience, if you're old enough

553
00:24:20,440 --> 00:24:23,040
Speaker 3: for that, there was something about it, even though there

554
00:24:23,040 --> 00:24:26,320
Speaker 3: were you know, I don't know, five hundred videos in

555
00:24:26,359 --> 00:24:29,320
Speaker 3: there versus the eight gazillion that you have access to now,

556
00:24:29,560 --> 00:24:32,679
Speaker 3: there was just something very like, Yes, I can have

557
00:24:32,720 --> 00:24:35,440
Speaker 3: anything I want. I could watch anything I want.

558
00:24:35,600 --> 00:24:37,960
Speaker 4: You read the back of the little cover to see

559
00:24:37,960 --> 00:24:40,240
Speaker 4: what the movie is about. You know it was great.

560
00:24:40,440 --> 00:24:43,240
Speaker 3: Yeah it was. And kids these days are not experiencing that.

561
00:24:43,400 --> 00:24:46,199
Speaker 3: But nope, watch this. Now they're just going to rebuild.

562
00:24:46,240 --> 00:24:47,960
Speaker 3: Like all those malls that are sitting empty now they're

563
00:24:47,960 --> 00:24:50,360
Speaker 3: gonna fill them again and then and then people will

564
00:24:50,359 --> 00:24:51,600
Speaker 3: go for a while and then they'll be empty.

565
00:24:51,680 --> 00:24:52,119
Speaker 2: And watch this.

566
00:24:52,359 --> 00:24:56,000
Speaker 3: It's like Amazon closing bookstores and opening their own. You

567
00:24:56,160 --> 00:24:59,440
Speaker 3: like you, guys Iconic, you're messing with us. It's National

568
00:24:59,520 --> 00:25:03,040
Speaker 3: get Over it dates National Meatball Day, that crab meat Day.

569
00:25:03,600 --> 00:25:07,720
Speaker 2: This National Barbie Day today as well. It's a big date.

570
00:25:08,119 --> 00:25:10,840
Speaker 2: Caitlin's Entertainment report is on the Freadshew.

571
00:25:11,400 --> 00:25:14,800
Speaker 5: Shots were fired toward the home of Rihanna in Beverly

572
00:25:14,880 --> 00:25:17,919
Speaker 5: Hills yesterday, but thankfully she wasn't hurt. They say that

573
00:25:17,960 --> 00:25:21,840
Speaker 5: a woman described as around thirty years old, drove near

574
00:25:21,880 --> 00:25:25,000
Speaker 5: the property and fired several rounds from her car in

575
00:25:25,040 --> 00:25:29,040
Speaker 5: the direction of the house. Officers responded and nabbed the suspect. Now,

576
00:25:29,119 --> 00:25:31,480
Speaker 5: Rihanna was home at the time, but like I said,

577
00:25:31,480 --> 00:25:34,679
Speaker 5: she is safe. I'm sure terrified and the incident is

578
00:25:34,680 --> 00:25:37,639
Speaker 5: still under investigation as for why the hell this woman

579
00:25:37,680 --> 00:25:42,360
Speaker 5: did that. Timothy Chlamy is facing backlash from the ballet

580
00:25:42,600 --> 00:25:44,040
Speaker 5: and opera communities.

581
00:25:44,600 --> 00:25:47,440
Speaker 1: So you know last week we just spoke about.

582
00:25:47,160 --> 00:25:49,760
Speaker 2: How I am upset. What am I upset about?

583
00:25:49,840 --> 00:25:51,000
Speaker 1: Well, I'll tell you about last night.

584
00:25:51,040 --> 00:25:53,000
Speaker 2: It's part of the ballet community.

585
00:25:52,600 --> 00:25:52,919
Speaker 3: Right.

586
00:25:54,400 --> 00:25:56,359
Speaker 1: Who ballet and opera community?

587
00:25:56,359 --> 00:25:56,600
Speaker 8: Wow?

588
00:25:56,720 --> 00:25:59,200
Speaker 5: Certainly that yeah, yeah, and remember you don't want to

589
00:25:59,200 --> 00:26:00,480
Speaker 5: anger the cat commune.

590
00:26:00,560 --> 00:26:02,840
Speaker 2: And now this I haven't read my newsletter yet, but

591
00:26:03,480 --> 00:26:04,240
Speaker 2: about so.

592
00:26:04,359 --> 00:26:08,000
Speaker 5: Timothy made some comments during a CNN and Variety town

593
00:26:08,080 --> 00:26:11,679
Speaker 5: hall at the University of Texas with Matthew McConaughey.

594
00:26:11,680 --> 00:26:13,359
Speaker 1: I feel like he just lives there at this point.

595
00:26:13,640 --> 00:26:16,440
Speaker 5: While discussing the movie industry and whether audience will show

596
00:26:16,480 --> 00:26:19,120
Speaker 5: up for film, Timothy said he wouldn't want to work

597
00:26:19,160 --> 00:26:21,840
Speaker 5: in ballet or opera where it's like keep this thing

598
00:26:21,880 --> 00:26:25,080
Speaker 5: alive and even though no one cares about this anymore.

599
00:26:25,640 --> 00:26:27,679
Speaker 1: He quickly added that he meant all.

600
00:26:27,560 --> 00:26:31,080
Speaker 5: Respect to those artists and jokes he had probably lost

601
00:26:31,200 --> 00:26:34,600
Speaker 5: fourteen cents in viewership, so they caught some strays for

602
00:26:34,680 --> 00:26:39,000
Speaker 5: no reason. Of course, this sparks criticism from performers and

603
00:26:39,200 --> 00:26:42,480
Speaker 5: art institutions around the world. Opera singers, ballet dancers, and

604
00:26:42,560 --> 00:26:46,479
Speaker 5: companies like the Metropolitan Opera and Royal Ballet pushback online,

605
00:26:46,480 --> 00:26:50,040
Speaker 5: saying those art forms are still alive, have strong audiences

606
00:26:50,040 --> 00:26:54,320
Speaker 5: and centuries long cultural value. Someone even invited him to

607
00:26:54,640 --> 00:26:57,000
Speaker 5: a performance to reconsider his view.

608
00:26:57,280 --> 00:26:59,200
Speaker 1: I just don't understand why it's necessary.

609
00:26:59,280 --> 00:27:01,800
Speaker 5: I mean, you know, those people are making a living

610
00:27:02,000 --> 00:27:04,199
Speaker 5: doing it, and so like, if it's not for you,

611
00:27:04,240 --> 00:27:07,720
Speaker 5: that's fine, But why'd you just go for them so hard?

612
00:27:07,720 --> 00:27:08,480
Speaker 1: It's very weird.

613
00:27:09,000 --> 00:27:11,480
Speaker 5: And lastly, this is one of the stories its ever

614
00:27:11,560 --> 00:27:16,240
Speaker 5: since gen Z has discovered JFK. Junior and Carolyn Bessett's

615
00:27:16,280 --> 00:27:18,600
Speaker 5: love story in the New Ryan Murphy Show.

616
00:27:19,440 --> 00:27:20,240
Speaker 1: They're freaking out.

617
00:27:20,359 --> 00:27:23,679
Speaker 5: Okay, they were today years old, so I'm sure, as

618
00:27:23,760 --> 00:27:26,680
Speaker 5: you've seen Fred you mentioned this, they're making tiktoks about them.

619
00:27:26,720 --> 00:27:28,080
Speaker 1: They're smoking SIGs again.

620
00:27:28,280 --> 00:27:32,040
Speaker 5: Men are dressing in backwards hats and also JFK Junior's

621
00:27:32,040 --> 00:27:33,320
Speaker 5: signature Kane gole hats.

622
00:27:33,440 --> 00:27:34,520
Speaker 1: They're trying to rock that.

623
00:27:34,640 --> 00:27:37,280
Speaker 5: Women are trying to dress like Carolyn in her like

624
00:27:37,800 --> 00:27:43,920
Speaker 5: signature nineties minimum minimalist style like neutral colors, ballet flat,

625
00:27:43,960 --> 00:27:49,120
Speaker 5: skinny sunglasses, button downs, all the things, headbands. I did

626
00:27:49,160 --> 00:27:51,840
Speaker 5: see one poor gen Z ask if there will be

627
00:27:51,880 --> 00:27:55,040
Speaker 5: a season two, and I said, you must not have

628
00:27:55,040 --> 00:27:56,640
Speaker 5: finished season one.

629
00:27:57,080 --> 00:27:58,960
Speaker 3: Let's finish that one first and then we'll see what

630
00:27:59,280 --> 00:27:59,679
Speaker 3: comes of it.

631
00:28:00,280 --> 00:28:04,240
Speaker 5: Fortunately, you may not know what happened, like producer Bella,

632
00:28:04,320 --> 00:28:06,280
Speaker 5: who was like, why the hell didn't anyone tell me

633
00:28:06,320 --> 00:28:07,359
Speaker 5: what happened to those two?

634
00:28:08,080 --> 00:28:10,600
Speaker 1: I don't want to spoil it for you guys, but

635
00:28:11,280 --> 00:28:12,120
Speaker 1: it didn't end well.

636
00:28:12,680 --> 00:28:14,920
Speaker 5: So that is their new obsession, and that is why

637
00:28:15,040 --> 00:28:18,840
Speaker 5: if you see them talking about it or dressing like that,

638
00:28:19,840 --> 00:28:22,120
Speaker 5: SIGs in their ear, that's what they're doing.

639
00:28:22,520 --> 00:28:23,160
Speaker 2: No wonder.

640
00:28:23,880 --> 00:28:25,919
Speaker 3: It's like I forget who it was, Like, maybe it

641
00:28:26,000 --> 00:28:28,520
Speaker 3: was Bella, like man really sad about you FK and

642
00:28:28,560 --> 00:28:31,280
Speaker 3: your hut, like or maybe somebody else last week and

643
00:28:31,280 --> 00:28:34,199
Speaker 3: I'm like, what again, it was sad? What were we

644
00:28:34,200 --> 00:28:36,359
Speaker 3: talking about? Like, yeah, those little planes are scary. I'm like,

645
00:28:36,840 --> 00:28:37,800
Speaker 3: huh yeah.

646
00:28:37,640 --> 00:28:40,760
Speaker 4: Wait till they found out about Tupac. Oh boy, Yeah,

647
00:28:40,880 --> 00:28:42,760
Speaker 4: it's just shake them to their core for sure.

648
00:28:43,520 --> 00:28:43,760
Speaker 2: Sure.

649
00:28:43,840 --> 00:28:47,080
Speaker 5: Yeah, it's just it's an interesting time around here. But yeah,

650
00:28:47,200 --> 00:28:49,320
Speaker 5: I mean I loved I loved their love story. But

651
00:28:49,360 --> 00:28:51,520
Speaker 5: I loved it, you know, back in the day. Anyways,

652
00:28:51,720 --> 00:28:54,000
Speaker 5: if you want to catch up on anything that you missed,

653
00:28:54,080 --> 00:28:56,520
Speaker 5: Fred Show on demand on the free iHeartRadio app.

654
00:28:56,560 --> 00:29:00,440
Speaker 1: Also Fred Show Radio on YouTube. We are live the show.

655
00:29:00,600 --> 00:29:02,520
Speaker 3: Thank you for having us on this morning. Even the haters,

656
00:29:02,520 --> 00:29:03,640
Speaker 3: we love you. I'll take them all.

657
00:29:03,760 --> 00:29:03,920
Speaker 2: You know.

658
00:29:04,240 --> 00:29:06,440
Speaker 3: If I don't get a daily humbling, then it's fine.

659
00:29:06,840 --> 00:29:08,240
Speaker 3: It's good for all the people who think this is

660
00:29:08,280 --> 00:29:10,120
Speaker 3: like well, I don't think anyone thinks this is glamorous.

661
00:29:10,120 --> 00:29:12,920
Speaker 3: But for anybody who thinks like this is you know, no, no,

662
00:29:13,640 --> 00:29:15,360
Speaker 3: we just get crapped on a lot of time.

663
00:29:15,400 --> 00:29:15,800
Speaker 2: It's fine.

664
00:29:15,800 --> 00:29:18,280
Speaker 3: No, it's great. I'll take it. Look, it's very competitive.

665
00:29:18,440 --> 00:29:20,720
Speaker 3: I'll take all of you. I'll take every single even

666
00:29:20,720 --> 00:29:23,160
Speaker 3: to people who can't stand please by all means like

667
00:29:23,480 --> 00:29:25,360
Speaker 3: continue to check in and make sure you remember why.

668
00:29:25,480 --> 00:29:27,040
Speaker 3: We can just make it up with our friend John,

669
00:29:27,360 --> 00:29:28,680
Speaker 3: you know you got to listen every day to make

670
00:29:28,720 --> 00:29:30,640
Speaker 3: sure that you remember why to hate me so much,

671
00:29:30,760 --> 00:29:31,720
Speaker 3: like it's very important.

672
00:29:32,760 --> 00:29:36,640
Speaker 2: I want it. I am appalled my Love is Blind.

673
00:29:36,880 --> 00:29:37,200
Speaker 2: It is.

674
00:29:37,560 --> 00:29:41,160
Speaker 3: I'm appalled. I'm so appalled that I finished the season

675
00:29:41,360 --> 00:29:43,120
Speaker 3: sick over the weekend and then went and watched the

676
00:29:43,200 --> 00:29:45,920
Speaker 3: UK one too, because I'm appalled by it the whole thing,

677
00:29:46,080 --> 00:29:48,240
Speaker 3: And apparently I have nine other or eight other seasons

678
00:29:48,240 --> 00:29:49,840
Speaker 3: to watch. I think I watched the first season of

679
00:29:49,880 --> 00:29:52,200
Speaker 3: It is any are any of you watching this?

680
00:29:52,280 --> 00:29:52,480
Speaker 2: Though?

681
00:29:52,680 --> 00:29:52,720
Speaker 8: No?

682
00:29:52,840 --> 00:29:55,000
Speaker 1: Should I? I gave up on Love Is Blind?

683
00:29:55,480 --> 00:29:56,600
Speaker 2: Well because I don't want to talk.

684
00:29:56,880 --> 00:30:00,120
Speaker 3: I mean I do talk to myself regularly, like all day,

685
00:30:00,600 --> 00:30:02,479
Speaker 3: but I don't want to talk to myself about love.

686
00:30:02,600 --> 00:30:04,040
Speaker 3: I may have to do like a TikTok about it

687
00:30:04,120 --> 00:30:07,040
Speaker 3: later or something, or maybe maybe a TikTok live because

688
00:30:07,080 --> 00:30:09,320
Speaker 3: I got a lot to say. I got a lot.

689
00:30:09,480 --> 00:30:12,840
Speaker 3: I may I Kiki. I'm I might doing get ready

690
00:30:12,840 --> 00:30:15,840
Speaker 3: with me come on later for nothing. I'm not going anywhere.

691
00:30:15,880 --> 00:30:17,480
Speaker 3: I got nothing to do. I'm gonna go to the mall.

692
00:30:17,920 --> 00:30:20,760
Speaker 3: I'm gonna go to the mall, and I'm gonna get

693
00:30:20,760 --> 00:30:24,480
Speaker 3: ready with me finally to not leave my house and

694
00:30:24,520 --> 00:30:27,080
Speaker 3: then talk about Love is Blind. But I'm I'm very

695
00:30:27,120 --> 00:30:30,280
Speaker 3: upset about this, and the reunion is Wednesday, and I

696
00:30:30,280 --> 00:30:31,200
Speaker 3: will be watching them.

697
00:30:31,280 --> 00:30:31,840
Speaker 1: And my husband.

698
00:30:31,880 --> 00:30:33,200
Speaker 2: Yep, so Hobby.

699
00:30:33,240 --> 00:30:34,920
Speaker 3: Maybe we get Hobby on the air and Hobby and

700
00:30:34,920 --> 00:30:39,640
Speaker 3: I can talk about it. I surprising viewer, or one

701
00:30:39,640 --> 00:30:43,840
Speaker 3: of the most surprising rather surprising viewers of Love is Blind,

702
00:30:43,880 --> 00:30:44,840
Speaker 3: would be your husband.

703
00:30:44,920 --> 00:30:46,280
Speaker 2: That is a shocking thing.

704
00:30:46,320 --> 00:30:47,840
Speaker 1: I would let you call him. But he's fighting a

705
00:30:47,840 --> 00:30:48,280
Speaker 1: fire right now.

706
00:30:48,320 --> 00:30:48,640
Speaker 2: I'm sure.

707
00:30:48,680 --> 00:30:52,200
Speaker 1: Hell yeah, good for him. Yeah he's got fire.

708
00:30:52,680 --> 00:30:54,760
Speaker 3: Is the same as watching Love is Blind. It's the

709
00:30:54,840 --> 00:30:55,720
Speaker 3: same sort of thing.

710
00:30:56,000 --> 00:30:58,560
Speaker 1: The boys at the Firehouse. No, he loves that show.

711
00:30:59,040 --> 00:31:01,320
Speaker 2: Let's let him know. I'm I got some idle time

712
00:31:01,320 --> 00:31:03,360
Speaker 2: there between stand watching together.

713
00:31:03,440 --> 00:31:09,800
Speaker 9: Okay, if you're watching the person A lot of things

714
00:31:09,840 --> 00:31:12,560
Speaker 9: about the current season of Love is Blind are irritating me.

715
00:31:13,520 --> 00:31:17,320
Speaker 3: But Alex h is a psychopath and his mom is

716
00:31:17,360 --> 00:31:19,880
Speaker 3: an enabler, and I cannot stand him.

717
00:31:20,000 --> 00:31:21,120
Speaker 2: Do you know the kind of people?

718
00:31:21,280 --> 00:31:24,400
Speaker 3: He's a good looking guy, which I think gets him

719
00:31:24,520 --> 00:31:26,320
Speaker 3: as far as he's gotten. But do you know the

720
00:31:26,360 --> 00:31:31,880
Speaker 3: kind of people that just they're they're like constantly, they're sleazy,

721
00:31:31,960 --> 00:31:35,440
Speaker 3: and up to something. Yes, and he just uses words.

722
00:31:35,480 --> 00:31:38,080
Speaker 3: He thinks he's smarter than you are, and he and

723
00:31:38,120 --> 00:31:41,840
Speaker 3: he he projects that by just talking. He just used

724
00:31:41,880 --> 00:31:44,760
Speaker 3: his words, but they don't mean anything. Like he's the

725
00:31:44,760 --> 00:31:47,200
Speaker 3: corporate speak guy. He is the low hanging fruit guy.

726
00:31:47,280 --> 00:31:49,320
Speaker 1: What's a financial sales professional?

727
00:31:49,600 --> 00:31:51,560
Speaker 2: He doesn't know. He's a man.

728
00:31:51,960 --> 00:31:54,960
Speaker 1: He's a hoe and a youth soccer coach.

729
00:31:54,800 --> 00:31:58,080
Speaker 2: An absolute con man. Well he was. He was drafted

730
00:31:58,120 --> 00:32:00,080
Speaker 2: to the some sort of major leagues.

731
00:32:00,080 --> 00:32:03,360
Speaker 1: Former D one goalkeeper, but I knee surgeries.

732
00:32:03,360 --> 00:32:04,200
Speaker 2: You know, he wasn't able.

733
00:32:04,240 --> 00:32:06,840
Speaker 1: He couldn't go pro. Jason. I've seen this story before

734
00:32:07,280 --> 00:32:10,360
Speaker 1: every guys. I was pro, but that injury.

735
00:32:10,600 --> 00:32:13,480
Speaker 3: But he just talks and talks and talks and he's

736
00:32:13,520 --> 00:32:15,800
Speaker 3: a liar and he's lying but he's bad at it.

737
00:32:16,080 --> 00:32:18,360
Speaker 3: And like he's just a lot of words and I'm like,

738
00:32:18,360 --> 00:32:19,840
Speaker 3: you're not saying anything.

739
00:32:20,000 --> 00:32:21,560
Speaker 1: I hate that word salad.

740
00:32:21,680 --> 00:32:27,360
Speaker 3: I cannot stand you, so upset. And then there's Chris.

741
00:32:27,400 --> 00:32:37,760
Speaker 3: He's just a short loser. I don't know, he's just not.

742
00:32:37,120 --> 00:32:38,720
Speaker 1: Oh, is that that this is the guy that was

743
00:32:38,720 --> 00:32:40,400
Speaker 1: like I like girls who do cross fit or is

744
00:32:40,400 --> 00:32:41,280
Speaker 1: that a different Yeah?

745
00:32:41,360 --> 00:32:42,280
Speaker 2: Yeah, he told the girl.

746
00:32:42,600 --> 00:32:45,280
Speaker 3: You know that he was with that Basically she wasn't

747
00:32:45,280 --> 00:32:47,720
Speaker 3: fit enough for him.

748
00:32:48,040 --> 00:32:49,480
Speaker 2: Yeah, I can't with him.

749
00:32:49,760 --> 00:32:51,920
Speaker 6: Yeah, he's I don't know.

750
00:32:51,960 --> 00:32:54,840
Speaker 3: I'm going through all the people here on the Is

751
00:32:54,840 --> 00:32:58,560
Speaker 3: it a good season? It's fine, I will say I

752
00:32:58,640 --> 00:33:00,760
Speaker 3: like the UK season better. I'm not sure that I'm

753
00:33:00,760 --> 00:33:02,680
Speaker 3: going to like the way it ends when I finally watch.

754
00:33:03,120 --> 00:33:05,480
Speaker 3: I don't know how old it is, you know, because

755
00:33:05,680 --> 00:33:08,360
Speaker 3: Netflix lies to you and stuff pops up and it's like,

756
00:33:08,400 --> 00:33:10,480
Speaker 3: oh me, it's new, but it's not new, so I don't.

757
00:33:10,560 --> 00:33:14,240
Speaker 3: I think it's the latest season of UK Love His Wine,

758
00:33:14,240 --> 00:33:15,640
Speaker 3: but I don't know when it actually came out.

759
00:33:15,720 --> 00:33:16,440
Speaker 1: Why is it better?

760
00:33:17,520 --> 00:33:19,600
Speaker 3: I like the people a little better. I think they're

761
00:33:20,080 --> 00:33:22,280
Speaker 3: I think for the most part. I mean there is,

762
00:33:22,520 --> 00:33:25,520
Speaker 3: of course there's a villain, but I think for the

763
00:33:25,560 --> 00:33:28,240
Speaker 3: most part they're like easier to root for.

764
00:33:28,960 --> 00:33:30,960
Speaker 2: But I really can't with these people.

765
00:33:31,040 --> 00:33:34,080
Speaker 5: Remember the girl during the COVID season who would give

766
00:33:34,080 --> 00:33:36,480
Speaker 5: her dog wine because she likes it?

767
00:33:36,760 --> 00:33:38,120
Speaker 2: Oh no, I don't remember that.

768
00:33:38,160 --> 00:33:39,560
Speaker 1: I think she was like the villain.

769
00:33:40,000 --> 00:33:41,600
Speaker 5: I don't know if her name was Jessica or something,

770
00:33:41,640 --> 00:33:44,000
Speaker 5: but yeah, she like her dog took a lick of

771
00:33:44,040 --> 00:33:45,880
Speaker 5: red wine and she's like she loves it.

772
00:33:46,680 --> 00:33:49,240
Speaker 3: Someone said, no, one's worse than Chris. No, I think

773
00:33:49,280 --> 00:33:51,960
Speaker 3: the first guy that I mentioned, the soccer guy, is worse.

774
00:33:52,400 --> 00:33:54,920
Speaker 3: Alex h alex h is let me make sure I

775
00:33:54,960 --> 00:33:56,600
Speaker 3: got to look at this picture as a nerdy ass,

776
00:33:56,600 --> 00:34:00,760
Speaker 3: stupid picture. I can't stand this guy, alex H. Yeah,

777
00:34:00,760 --> 00:34:05,760
Speaker 3: he's the worst, truly, I just I just can't. Anyway,

778
00:34:06,560 --> 00:34:08,480
Speaker 3: I'll move on now because not enough of you were

779
00:34:08,480 --> 00:34:09,960
Speaker 3: watching it, But if you do, we can have a

780
00:34:09,960 --> 00:34:11,160
Speaker 3: whole conversation about him.

781
00:34:11,160 --> 00:34:13,360
Speaker 5: But I still don't understand. Is it like should I

782
00:34:13,480 --> 00:34:16,600
Speaker 5: should I? Are you enjoying it because it seems like

783
00:34:16,600 --> 00:34:18,399
Speaker 5: you're upset right well?

784
00:34:19,320 --> 00:34:20,439
Speaker 4: Are you hate watching this show?

785
00:34:20,600 --> 00:34:20,839
Speaker 3: Yeah?

786
00:34:22,160 --> 00:34:23,320
Speaker 2: Not Laura. What's the name John?

787
00:34:23,400 --> 00:34:23,720
Speaker 1: John?

788
00:34:24,560 --> 00:34:24,759
Speaker 8: John?

789
00:34:25,120 --> 00:34:26,800
Speaker 2: Yeah, No, I am hate watching this show.

790
00:34:27,040 --> 00:34:28,759
Speaker 3: But you know, you get to a certain point where

791
00:34:28,760 --> 00:34:31,640
Speaker 3: it's like I'm committed now, like I want to see

792
00:34:31,680 --> 00:34:33,960
Speaker 3: what happens in the end. I will say I think

793
00:34:33,960 --> 00:34:36,080
Speaker 3: there are two episodes of weddings, and even though you

794
00:34:36,120 --> 00:34:39,080
Speaker 3: find out in the end if they stay together at

795
00:34:39,080 --> 00:34:40,880
Speaker 3: the wedding, I would fast forward.

796
00:34:41,120 --> 00:34:43,600
Speaker 2: I don't need the weddings to me.

797
00:34:43,960 --> 00:34:46,600
Speaker 3: In a lot of ways, were like the recap episodes,

798
00:34:47,160 --> 00:34:49,480
Speaker 3: you know, shows that spend like eighty percent of the

799
00:34:49,520 --> 00:34:52,080
Speaker 3: show recapping what we've already seen, only to give you

800
00:34:52,120 --> 00:34:53,440
Speaker 3: like a twenty percent nugget.

801
00:34:53,640 --> 00:34:55,680
Speaker 2: Yep, So I already know about your love story.

802
00:34:55,680 --> 00:34:57,759
Speaker 3: I watched the whole thing, so I fast forward through

803
00:34:57,800 --> 00:34:59,480
Speaker 3: that and then I just wait to see, like what

804
00:34:59,520 --> 00:35:03,439
Speaker 3: they do in the end, Okay, And I will say

805
00:35:03,600 --> 00:35:06,920
Speaker 3: I was I was happy with uh. I was happy

806
00:35:06,920 --> 00:35:09,239
Speaker 3: with the some of the decisions that people made. Some

807
00:35:09,280 --> 00:35:11,480
Speaker 3: of the people stood up there and like this, dude, Alex.

808
00:35:11,520 --> 00:35:13,040
Speaker 3: I don't want to give too much away, but some

809
00:35:13,080 --> 00:35:16,560
Speaker 3: people got exactly what they had coming and were embarrassed.

810
00:35:17,040 --> 00:35:19,640
Speaker 3: But then the guy starts talking again, like shut up,

811
00:35:19,680 --> 00:35:22,760
Speaker 3: you're not saying anything. Oh I hate him so mad. Anyway,

812
00:35:22,760 --> 00:35:25,480
Speaker 3: You're welcome for the free commercial Netflix. Now people, people

813
00:35:25,520 --> 00:35:28,560
Speaker 3: are gonna go watch that show Love is Blind Chicago

814
00:35:28,560 --> 00:35:30,120
Speaker 3: and see, I got a lot to catch up one.

815
00:35:30,360 --> 00:35:32,000
Speaker 3: But I just think the people in the UK seem

816
00:35:32,040 --> 00:35:35,000
Speaker 3: a little bit. I would say eighty percent of them

817
00:35:35,040 --> 00:35:39,840
Speaker 3: seem well intentioned and kind ish, and I don't know

818
00:35:39,880 --> 00:35:41,520
Speaker 3: what's going to happen, but I just feel like, I

819
00:35:41,520 --> 00:35:43,239
Speaker 3: don't know, they just they're a little easier for me

820
00:35:43,320 --> 00:35:46,560
Speaker 3: to kind of want to root for, yeah, than some

821
00:35:46,600 --> 00:35:47,200
Speaker 3: of these people.

822
00:35:47,320 --> 00:35:49,040
Speaker 1: You watch Chicago though, wasn't that the girl?

823
00:35:49,400 --> 00:35:49,760
Speaker 8: Oh?

824
00:35:50,360 --> 00:35:53,239
Speaker 2: I don't think I watched Maybe I did watch it. Yeah.

825
00:35:53,239 --> 00:35:54,560
Speaker 3: It turned out there was kind of a kind of

826
00:35:54,560 --> 00:35:56,719
Speaker 3: a hot girl on the case. It was Chicago Love

827
00:35:56,800 --> 00:35:59,640
Speaker 3: is Blind, and I was like, Oh, she's kind of hot,

828
00:35:59,680 --> 00:36:02,400
Speaker 3: and so I go to follow her on Instagram and

829
00:36:02,440 --> 00:36:04,560
Speaker 3: then she follows me and I'm like oh, And then

830
00:36:04,600 --> 00:36:06,320
Speaker 3: I go to dm R because I'm like, I'm gonna

831
00:36:06,320 --> 00:36:08,279
Speaker 3: Oh it didn't work out with you know what's his name,

832
00:36:08,280 --> 00:36:10,520
Speaker 3: I'm gonna dm her. It turned out she's been dming

833
00:36:10,560 --> 00:36:13,200
Speaker 3: me for a while and I was like, I missed it.

834
00:36:13,760 --> 00:36:16,160
Speaker 3: But then she was now she's a famous influencer, so

835
00:36:16,680 --> 00:36:19,239
Speaker 3: she's not interested in me. She's famous now, so she

836
00:36:19,280 --> 00:36:22,200
Speaker 3: doesn't all of a sudden like I got. When you

837
00:36:22,239 --> 00:36:25,240
Speaker 3: get famous, I get ugly apparently, which is interesting.

838
00:36:25,320 --> 00:36:27,640
Speaker 2: I let see blogs and waiting by the phone. More

839
00:36:27,719 --> 00:36:29,120
Speaker 2: friend Show next,