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Speaker 1: Movies can make you happy, crying there's no crying in baseball.

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Speaker 1: Movies can make you feel excited. Simple. Movies can also

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Speaker 1: make you feel scared Manny Wise the Tensing Cloud. But

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Speaker 1: every now and then comes a movie that makes you

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Speaker 1: feel oddly emotional. And that's what we're talking about on

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Speaker 1: this episode. And I have brought my co host and

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Speaker 1: fiance onto the podcast. Hello Kelsey. Hello, So we're gonna

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Speaker 1: talk about not sad movies, because I think that would

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Speaker 1: just be a depressing episode. But there's some movies we've

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Speaker 1: watched recently together that have just kind of hit a

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Speaker 1: nerve in our hearts and in our bodies that just

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Speaker 1: made us feel like man like. It wasn't intentionally a

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Speaker 1: sad movie on all of these, but it was just

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Speaker 1: something about them that made us feel And I think

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Speaker 1: that's really important for a movie to do, no matter

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Speaker 1: if it makes you feel angry or happy or sad,

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Speaker 1: just that it strikes any kind of chord with you.

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Speaker 1: So that's what we're talking about today, just something that

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Speaker 1: made us feel emotional. Will describe that that all sound

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Speaker 1: good with you? Sounds good, So we'll get right into

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Speaker 1: that without any further ado let's get started. In a

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Speaker 1: world where everyone and their mother has a podcast, one

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Speaker 1: man stands to infiltrate the ears of listeners like never

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Speaker 1: before in a movie podcast. A man with so much

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Speaker 1: movie knowledge, he's basically like a walking Audi MTV WITHHOS

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Speaker 1: classes from the Nashville Podcast Network Movie Mi Movie Podcast.

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Speaker 1: All right, So the movie that inspired this whole topic

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Speaker 1: with a movie called Cloud that's available now on Disney Plus.

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Speaker 1: It is inspired by a true story pretty much just

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Speaker 1: based on this guy's life, and so I don't think

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Speaker 1: we're ruining anything and the fact that it really happened, right.

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Speaker 1: It's a movie inspired by this teenager, Zach Sobiak, and

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Speaker 1: his life and his battle with cancer. And it starts

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Speaker 1: out you don't really expect it to be a sad

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Speaker 1: movie because he's like a happy teenager performing at a

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Speaker 1: talent show. And then it gets dark pretty quickly. And

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Speaker 1: while this one is a sad movie, I think they're

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Speaker 1: specific points in it to where it just kind of

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Speaker 1: hit me in an emotional way that it wasn't expecting.

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Speaker 1: And I think it's kind of with this relationship with

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Speaker 1: his family, right, I think that's what you felt too,

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Speaker 1: Oh for sure, just watching his relationship with his siblings.

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Speaker 1: I have two younger brothers, and so just that like

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Speaker 1: sibling bond and watching them like walk alongside him as

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Speaker 1: he fought cancer. That part hit me the most. So

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Speaker 1: the most inspiring thing about this movie is that it's

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Speaker 1: based about something them writing the song and he started

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Speaker 1: a group called a Firm Handshake with him in another classmate,

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Speaker 1: and it's really happened. The song came out and it

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Speaker 1: blew up like it did in the movie, and it

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Speaker 1: went to number one on iTunes. And I think hearing

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Speaker 1: that song now and kind of seeing how much of

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Speaker 1: an impact is having on people on Twitter, and just

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Speaker 1: knowing that he since passed and that song still kind

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Speaker 1: of lives on, it's really kind of an emotional thing.

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Speaker 1: And I went back and listened to the song and

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Speaker 1: just thinking of what he was going through when the

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Speaker 1: song was blowing up, what it kind of meant to

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Speaker 1: his family to hear that song on the radio and

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Speaker 1: to have that kind of moment in time to where

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Speaker 1: everybody was kind of learning about his story, interviewing him

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Speaker 1: on the news, and at the time where his cancer

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Speaker 1: was probably the worst, is when it was having his

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Speaker 1: most success. So I think in that sense it is

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Speaker 1: what really made a kind of emotional. What kind of

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Speaker 1: feeling did you take away from that movie? Yeah, it

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Speaker 1: was overall it's sad, like it's just a sad story.

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Speaker 1: That's just the fact. But I think watching his relationships

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Speaker 1: and how he handled it, um, that part was just

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Speaker 1: super inspiring, like his courage to walk through that as

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Speaker 1: a teenager, and just like how his friends came alongside

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Speaker 1: him and his girlfriend and just seeing all of those

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Speaker 1: relationships and people that built him up. Um. And then

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Speaker 1: after the movie came out the song with number one

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Speaker 1: on iTunes again, which was really cool to see. Yeah,

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Speaker 1: and I've gone back, Like I said, I've gone back

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Speaker 1: and listened to it too. And I remember, like a

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Speaker 1: little bit when this happened in real life because I

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Speaker 1: remember the group name a Firm Handshake, and I remember

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Speaker 1: seeing that, but I never really connected it with him

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Speaker 1: and his story. Did you remember anything about when it

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Speaker 1: actually happened. I remember hearing about it. I feel like

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Speaker 1: that it was covered on the news, but I didn't

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Speaker 1: remember any of the details. And it's also directed by

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Speaker 1: the guy from Jane the Virgin right justin and I

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Speaker 1: just think he did a really great job with this movie,

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Speaker 1: because it's already a great story in itself, and I

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Speaker 1: think that's what sometimes directors. They find these stories based

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Speaker 1: you know, based on true life, and it still takes

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Speaker 1: a lot to get it down right. You could take

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Speaker 1: this story and I wouldn't say mess it up, but

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Speaker 1: tell it in a way that doesn't really have the

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Speaker 1: same impact. And I think he did such a great

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Speaker 1: job of making it emotional but also making it entertaining,

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Speaker 1: which is kind of weird to say, because it is

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Speaker 1: a sad story and there are some just parts in

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Speaker 1: there that they're really gut wrenging, but there's also some

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Speaker 1: really uplifting parts. And I think they kind of have

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Speaker 1: to present it in a way one where it's not

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Speaker 1: cheesy and you're not just feels like you're watching kind

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Speaker 1: of a like like the dramatics have it kind of

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Speaker 1: play out in a weird way. It's like very just

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Speaker 1: hits you when it's supposed to hit you and kind

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Speaker 1: of lets up on another spot. So I think he

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Speaker 1: did a really great job with that. And at about

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Speaker 1: a two hour long movie, I never really felt like

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Speaker 1: I wanted it to be over now I thought it was.

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Speaker 1: It's a story that has to be handled with care

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Speaker 1: because it is somebody's life and it's his family's tragedy,

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Speaker 1: and so I mean, I think he did a really

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Speaker 1: good job of putting that into something like that was

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Speaker 1: well done and that people could consume. But it doesn't

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Speaker 1: doesn't glamorize the story either, Like it didn't make it

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Speaker 1: like a Hollywood like photo finish, Like it just did

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Speaker 1: a good job of laying it all out, like the

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Speaker 1: sad parts, the happy parts, like it. It made you

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Speaker 1: feel all of the emotions that I felt like went

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Speaker 1: with the seasons of his life throughout the movie. And

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Speaker 1: not only that, but I also think they got the

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Speaker 1: casting down really well in this movie, like just phenomenal.

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Speaker 1: Like I think the weird part for me was seeing

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Speaker 1: nev Campbell in this as the mom and just remembering

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Speaker 1: her from like the nineties and how like she was

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Speaker 1: always like the teenager, the younger person and now and

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Speaker 1: now in like the parent adult role. That was cool

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Speaker 1: to see, but also just like, Okay, that was a

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Speaker 1: really great placement of like having her in that movie.

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Speaker 1: And yeah, it is pretty just gut wrenching at the end. Ultimately,

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Speaker 1: it's this It's a sad movie. But also the probably

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Speaker 1: the hardest part in the entire movie was like in

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Speaker 1: the credit scene where it's showing like the real life

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Speaker 1: footage and you get to see him like that was hard.

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Speaker 1: But the scene I think that made me the most

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Speaker 1: emotional and was kind of the most gut wrenching was

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Speaker 1: when they do find out ultimately that he doesn't have

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Speaker 1: he's terminal. But they're supposed to have this big concert.

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Speaker 1: He's supposed to have a performance, and right before it

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Speaker 1: he gets like really sick and he's in the basement

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Speaker 1: alone and when his sister comes in that seemed got me.

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Speaker 1: I get chills thinking about it. It's a chilling scene

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Speaker 1: because he's there just lying on the couch and then

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Speaker 1: she comes in and just can't hold it together, and

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Speaker 1: it's really sad. But if you haven't seen this movie yet,

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Speaker 1: I think it's a really great watch, and it's also

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Speaker 1: cool to go learn about his story and then just

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Speaker 1: go listen to the song and I'm gonna play a

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Speaker 1: little bit of it right now, Little High Clouds. So

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Speaker 1: that's the movie cloud Anything else you want to say

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Speaker 1: about that movie, I just thought it was well done.

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Speaker 1: I thought everyone should watch it. Grab some tissues though

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Speaker 1: you'll need it. You will need tissues. Um you will

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Speaker 1: then want to like text everyone you know if you

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Speaker 1: love them afterwards. And we're not really people who cried

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Speaker 1: during movies don't cry movies, Like I've let me. That's

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Speaker 1: a good example walk to remember for anyone that's seen

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Speaker 1: that also a sad story kind of along the same lines.

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Speaker 1: It didn't make me cry, And I know that makes

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Speaker 1: me sound awful, but it just there are certain aspects

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Speaker 1: to movies like I think this one was really the

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Speaker 1: sibling relationships. I just thought of my little brothers. But

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Speaker 1: I don't really cry movies. And I I'm not saying

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Speaker 1: because I'm a guy that I have like no emotions,

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Speaker 1: I'm not gonna cry in a movie. I'll admit if

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Speaker 1: a movie makes me cry, I'll cry, I can confirm.

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Speaker 1: But it's very rare that something gets me like this.

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Speaker 1: And it wasn't just because it was the fact that

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Speaker 1: he ends up dying at the end. It was the

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Speaker 1: fact like seeing his how his family dealt with it.

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Speaker 1: I thought that was the more emotional part, aside from

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Speaker 1: it being a sad movie. But it takes a lot

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Speaker 1: for me to get emotional in a movie because I

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Speaker 1: have to have some kind of personal connection with either

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Speaker 1: the entire entire movie franchise or just something that I

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Speaker 1: relate to in the movie. I can't just way to

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Speaker 1: movie about somebody dying knowing they're going to die at

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Speaker 1: the end or whatever, Like I just I don't feel

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Speaker 1: that's sad to me. It takes something a little bit more. So.

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Speaker 1: I think that's why we kind of decided to do

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Speaker 1: this episode in the movie that you made me watch

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Speaker 1: just now that surprisingly I hadn't seen yet was Instant Family,

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Speaker 1: and about I'd say what, twenty minutes into this movie,

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Speaker 1: I was doing Puppy Dog because I was like, oh

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Speaker 1: my gosh, and this isn't a sad movie. It's not

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Speaker 1: it's not sad at all. There's nothing really like the

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Speaker 1: subject matters hard. It's hard. That's I think that's the

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Speaker 1: It's not necessarily sad. It's emotional. It's very emotional. So

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Speaker 1: it's Mark Wahlberg Rose Burn. And first of all, I

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Speaker 1: just got to say that Mark Wahlberg is a very

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Speaker 1: underrated actor because he can do a movie like this

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Speaker 1: to where it's a little more dramatic and comedic. But

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Speaker 1: people just know him as the action guy, like he

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Speaker 1: does all those kind of movies. But I really like

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Speaker 1: him in this kind of role. So I gotta get

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Speaker 1: props to point Berg. Not that he's gonna be listening

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Speaker 1: to this or anything, but I just really like him.

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Speaker 1: I think he's a really solid actor. Doesn't get enough credit.

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Speaker 1: But this movie, Yeah, like those first twenty minutes, it

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Speaker 1: just it just got me instantly. So it's about this

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Speaker 1: couple and they're at a point of their marriage where

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Speaker 1: they haven't had kids, so they decide, hey, let's see

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Speaker 1: what fostering is about. And he he wasn't really into

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Speaker 1: it at the very beginning, right, And it was when

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Speaker 1: he's going through and looking at like the profiles on

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Speaker 1: that website, or it hits him, well, she was looking

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Speaker 1: at them, right, and then she left her laptop are laptop.

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Speaker 1: He comes back and looks at it, and then he's

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Speaker 1: instantly like, oh, I was kind of joking about this,

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Speaker 1: but now I'm kind of serious. And I think it

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Speaker 1: was even just that scene at the very beginning that

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Speaker 1: got me, when he's going through and scrolling all it

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Speaker 1: was the profiles because the profiles, you see the pictures,

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Speaker 1: you see the kid's age, and you see the quotes

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Speaker 1: that they wrote, and it's it hits you because you

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Speaker 1: never really think about those kind of things. And the

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Speaker 1: only real kind of knowledge or any kind of information

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Speaker 1: I've gotten from foster care and foster families is with Eddie,

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Speaker 1: who I work with on the Bobby Bones Show. He

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Speaker 1: is fostering two kids right now and everything that he's

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Speaker 1: talked about throughout their journey, and he's had those foster

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Speaker 1: kids now for two almost two years years. And to

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Speaker 1: hear his story and to watch this movie knowing that

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Speaker 1: that's something not only Eddie's family has gone through, but

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Speaker 1: so many other families who have done this, it just

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Speaker 1: was really eye opening to me. And I think you

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Speaker 1: said a lot of people the side of this movie

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Speaker 1: is being a pretty good representation, right, I would say so.

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Speaker 1: And it I mean a movie, it's gonna, you know,

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Speaker 1: take some things out of context that it's going to

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Speaker 1: make things more movies. It's only there's only two hours,

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Speaker 1: so you can only so much of a story about fostering.

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Speaker 1: But it gives you, I think it gives you an

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Speaker 1: idea like it doesn't doesn't gloss over some of the

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Speaker 1: hard parts of it, and that's what I liked about

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Speaker 1: this movie because sometimes when you think about you know,

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Speaker 1: we're gonna do something like this, you know, foster a kid,

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Speaker 1: you think of it being it is gonna be tough.

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Speaker 1: But also there's kind of this thing around it, like

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Speaker 1: it's going to have some kind of magical like, oh,

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Speaker 1: we're all together now. I took them from a situation

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Speaker 1: that they needed to be taken away from, and I'm

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Speaker 1: giving them a family that it's gonna fix. It's gonna

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Speaker 1: fix everything. There's a lot more problems, and like I said,

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Speaker 1: from some of the things I've learned from Eddie, it's

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Speaker 1: like there's a lot more there to unpack. It you

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Speaker 1: don't think about. There are a lot of things going

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Speaker 1: on in these kids lives, and in this movie, they

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Speaker 1: take not one, not two, but three kids, one who

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Speaker 1: is which a teenager. So this movie tackled a lot.

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Speaker 1: I think. Another aspect of it that I took away

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Speaker 1: from was that the kids are Mexican, and for me,

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Speaker 1: I'm I'm Mexican. If you didn't know listening to this

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Speaker 1: two Mexican parents. My parents came to the United States

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Speaker 1: from Mexico as teenagers to this country. And not only that,

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Speaker 1: but I have a lot of aunts and uncles who

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Speaker 1: have a lot of kids and sometimes have had struggles

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Speaker 1: with their own kids, and I could think about situations

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Speaker 1: where maybe their kids could have been taken away from them,

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Speaker 1: and I just know how hard that aspect is for

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Speaker 1: somebody who is Mexican like me, And I kind of

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Speaker 1: identified a little bit with that when you know, there

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Speaker 1: sister in this movie is so protective of the two

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Speaker 1: younger kids, and I just know like a lot of

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Speaker 1: people like that and that kind of family dynamic, and

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Speaker 1: I can only imagine what that's like to be taken

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Speaker 1: away from your mom who's going through some struggles, and

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Speaker 1: to be taken with a family who doesn't look like you.

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Speaker 1: So I think that's a big issue here too, just

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Speaker 1: another thing that you don't really think about. Um, what

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Speaker 1: made you feel emotional about this movie? Well, I think

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Speaker 1: there were just certain parts that they weren't even like

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Speaker 1: done and like oh, this is like big wow moment,

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Speaker 1: but just the little parts, like when the kids showed

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Speaker 1: up and they had all of their stuff and trash

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Speaker 1: bags and like that's how they transport everything from house

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Speaker 1: to house, Like that got me. And then they dumb

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Speaker 1: out one of the trash bags and it's like all

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Speaker 1: of their teddy bears, and it's a bear that they've

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Speaker 1: gotten from every time they've gone to family court, and

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Speaker 1: there are so many bears, and you're just like, oh,

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Speaker 1: these kids are going through just like such hard stuff

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Speaker 1: that like even I, at the age of almost twenty seven,

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Speaker 1: don't even think I would be strong enough to go through.

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Speaker 1: And these little kids are just taking in and stride.

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Speaker 1: But I think they showed to, like, and it's not

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Speaker 1: even always like a big thing that unpacks smaller issues.

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Speaker 1: It's like a dropped glass of milk at the dinner

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Speaker 1: table and that turns into something. So it's showing that,

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Speaker 1: like and again I'm not in this situation because I

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Speaker 1: can't speak, but it's not always the big moments like

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Speaker 1: that unpack like the little like traumas or things like that,

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Speaker 1: Like it can be something small. So I thought they

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Speaker 1: did a good representation of that without making it like, oh,

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Speaker 1: look at this moment, like it just kind of felt

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Speaker 1: well like done. Ilse describe that. The other thing, too,

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Speaker 1: is just learned, like seeing them not know about things.

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Speaker 1: But they didn't know what six Flags was, and I've

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Speaker 1: heard other stories about that to where like they don't

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Speaker 1: experience any of those things. Is like normal kids do

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Speaker 1: do you? And I take for granted that we learned

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Speaker 1: as kids. That's one of the timest things in here.

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Speaker 1: And yeah, that was tough. But also there's some funny

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Speaker 1: parts in this movie. It's not it will watching it

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Speaker 1: will make you feel. It will make you, i'd say

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Speaker 1: tear up at parts, but not just in a sad way.

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Speaker 1: It also has really uplifting parts that will kind of

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Speaker 1: make you cry tears the joy if you will, So

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Speaker 1: it has that kind of balance of Also, the case

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Speaker 1: workers were excellently cast. Natara was great in this movie.

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Speaker 1: Spencer so good. So if you haven't seen it, you

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Speaker 1: can watch that one on Amazon. I really recommend it.

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Speaker 1: I think it's a great feel good watch movie right

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Speaker 1: now and will really open up your mind and you're

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Speaker 1: scope on that whole situation if you don't know a

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Speaker 1: whole lot about it, and if you have gone through

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Speaker 1: something like that, maybe it's you can identify with it

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Speaker 1: a little bit. The other movie I was going to

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Speaker 1: talk about it kind of reminded me of a scene

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Speaker 1: in this that there's a court scene in this but

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Speaker 1: Big Daddy Classic Now that's just a straight on comedy.

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Speaker 1: But it had a moment in that movie that made

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Speaker 1: me feel something. And I don't know what it is

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Speaker 1: about adopting kids. They're taking care of kids, that's Those

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Speaker 1: stories will get me every time, Like anytime there's a

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Speaker 1: story on the news about like a kid that's holding

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Speaker 1: up a sign that's like I found my forever home

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Speaker 1: and it's like a picture, I'm just a puddle, Like

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Speaker 1: I don't even have to read the caption, just show

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Speaker 1: me a photo, and I'm just I'm done. I'm weeping

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Speaker 1: because it's just so happy. But yeah, those stories will

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Speaker 1: get me. I won't go down that rabbit hole. But anyway,

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Speaker 1: big daddy, if you don't remember this from Adam Sandler,

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Speaker 1: and basically he adopted hid to impress his girlfriend. It's

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Speaker 1: actually his friend's kid. His friend is in China. He

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Speaker 1: comes to his apartment and he's like, you know what,

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Speaker 1: I'll take care of the kid, and he starts building

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Speaker 1: a relationship with him. But then of course they find

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Speaker 1: out he's been lying the whole time and not saying

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Speaker 1: who he is, and like him getting ripped apart from

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Speaker 1: him from he wants Sunny to be his dad. But

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Speaker 1: he can't be his dad, and he's like dad or

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Speaker 1: I think he called him Sudy study. I could wipe

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Speaker 1: my own ass. I know that's not it like that

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Speaker 1: was obviously it was supposed to be a funny part

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Speaker 1: in the movie, but something tear to your eyes and

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Speaker 1: know all he wants to do is be his son

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Speaker 1: and he gets ripped apart. It turns out better in

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Speaker 1: the end, but it's just a little moments like that

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Speaker 1: that I think it takes from me to kind of

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Speaker 1: feel something, to have kind of a movie where it's

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Speaker 1: a little bit comedic, but also to have a heart.

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Speaker 1: And I think those movies are really rare because I

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Speaker 1: think it's not easy to make someone feel sad. But

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Speaker 1: if you present death in a movie, anytime you put

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Speaker 1: like a dog dying in a movie, of course it's

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Speaker 1: gonna be like it's gonna make you sad. I think

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Speaker 1: there's an extra layer there, oh, just something you identify

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Speaker 1: with like that and another movie that's not a sad

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Speaker 1: movie at all. And I think by this time we

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Speaker 1: all probably know how Avengers Endgame ends. I don't think

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Speaker 1: I'm spoiling anything. If you're late to it at this point,

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Speaker 1: somebody has probably spoiled this movie for you, But it's

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Speaker 1: not even the sad scene that everybody knows. I won't

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Speaker 1: even go into spoiling that, but it's the actual scene

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Speaker 1: where they're going into the big final showdown and it's

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Speaker 1: them against Danos, but all the other Avengers aren't there yet,

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Speaker 1: and to where those portals start opening up and they

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Speaker 1: all come out and then they all charged into that

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Speaker 1: battle like that moment affected me unlike any other movie

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Speaker 1: I've ever watched, because I think it was a culmination

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Speaker 1: of every single Marvel movie that came out before this,

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Speaker 1: and it felt like the ten years I had put

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Speaker 1: into watching Marvel movies and following all these storylines and

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Speaker 1: connecting all the dots, and all the money I've spent

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Speaker 1: on Marvel movie tickets all was represented in the scene

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Speaker 1: and paid off unlike any other thing that will ever

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Speaker 1: happen again. And in that moment, I felt pure joy

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Speaker 1: and excitement and in a way that I don't think

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Speaker 1: I'll ever see done again. And that was probably the

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Speaker 1: last movie in theaters that made me feel like that.

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Speaker 1: And it's what I'm going to miss the most about

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Speaker 1: going to the movies, because there's In all the movies

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Speaker 1: I've watched this year on the couch, I haven't felt

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Speaker 1: that way. And there's something about going to the movies

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Speaker 1: and experiencing that with other people. Whether it's a sad

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Speaker 1: movie or an exciting movie, there's something about experiencing it

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Speaker 1: in a crowd that will also make you feel And

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Speaker 1: I think that's what we're all kind of missing out

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Speaker 1: on this year. And I feel like a piece of

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Speaker 1: me is missing from not doing that. And it's weird

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Speaker 1: to say that going to the movies and having that

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Speaker 1: experience has affected me emotionally, but it kind of has.

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Speaker 1: It's taken away that little feeling, that endorphin release for me.

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Speaker 1: So yeah, that also makes me feel emotional. Is there

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Speaker 1: any other movie you can think of that made you

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Speaker 1: emotional in an odd way? Because I'm just stuck on

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Speaker 1: actually sad movies. Okay, that's not the point. We will

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Speaker 1: do that another time, but anyway, those are movies that

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Speaker 1: made us feel oddly emotional. What I want to talk

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Speaker 1: about next is the movie we watched on Netflix over

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Speaker 1: the weekend the holiday, and it was number one for

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Speaker 1: a while and you recommended this movie and I was like,

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Speaker 1: I'll watch it I didn't know a whole lot about it.

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Speaker 1: I thought it was gonna be a Christmas movie. I

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Speaker 1: found out it was a little something different. But we'll

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Speaker 1: talk about that next. All. I going to get into

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Speaker 1: a movie review now, talking about the movie Holiday, which

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Speaker 1: just came out on Netflix. If you haven't heard of it,

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Speaker 1: well here's a little clip. That's what I come on

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Speaker 1: friends with that. If it's never worked an official non

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Speaker 1: sexual Holidays from now on, this is grit. We avoid

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Speaker 1: this student pressure. I'm all the judgment appy, I'm a

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Speaker 1: little funny, all right. So the movie stars Emma Roberts

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Speaker 1: and Luke Bracey, who I kind of feel is like

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Speaker 1: a Kmart version of Chris Hemsworth. He's very Australian, very

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Speaker 1: good looking. And that's what I kind of felt, is

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Speaker 1: that an accurate representation of him. I would say that's accurate.

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Speaker 1: I don't know if I would go Kmart, but I

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Speaker 1: can't think of a better store at the moment. So

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Speaker 1: I thought this was going to be a straight on

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Speaker 1: Christmas movie, and I thought we were just switching from

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Speaker 1: Halloween to Christmas. And I'm fine with that. I'm just

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00:21:56,480 --> 00:21:58,879
Speaker 1: I'm all in on Christmas. Like it's Christmas now, so

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00:21:58,960 --> 00:22:01,159
Speaker 1: it starts with Christmas this but what happens is they

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Speaker 1: go through pretty much every single holiday in the United States,

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Speaker 1: and the movie is about Emma Roberts character who has

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Speaker 1: had trouble with guys, hasn't met the right guy, and

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Speaker 1: there's this other Australian dude kind of in a similar situation.

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Speaker 1: They meet at them all and decide they don't really

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Speaker 1: want to be boyfriend and girlfriend. They just won't you

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Speaker 1: be each other's quote unquote holidays, meaning they will go

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00:22:23,600 --> 00:22:27,840
Speaker 1: to every holiday together as a couple so their family

432
00:22:27,880 --> 00:22:32,679
Speaker 1: won't grill them on not having a significance genius. And honestly,

433
00:22:32,720 --> 00:22:34,359
Speaker 1: I should have been doing that for the first twenty

434
00:22:34,400 --> 00:22:39,720
Speaker 1: four years of life. And obviously that kind of sounds

435
00:22:39,800 --> 00:22:43,320
Speaker 1: like a cheesy premise to a movie, but I didn't

436
00:22:43,359 --> 00:22:45,879
Speaker 1: really feel like this one movie was like straight on cheesy.

437
00:22:45,960 --> 00:22:48,760
Speaker 1: What do you think? I mean? I watched Hallmark movies,

438
00:22:48,880 --> 00:22:51,960
Speaker 1: so like, my level of just like cheesiness is really low,

439
00:22:52,080 --> 00:22:54,040
Speaker 1: So I didn't think this was cheesy. But I feel

440
00:22:54,080 --> 00:22:57,480
Speaker 1: like you, as someone who doesn't enjoy any sort of

441
00:22:57,560 --> 00:22:59,280
Speaker 1: cheesy movie, might have thought it was cheesy. So it

442
00:22:59,320 --> 00:23:02,320
Speaker 1: was pleasantly didn't. I didn't find it cheesy. I thought

443
00:23:02,320 --> 00:23:05,480
Speaker 1: it was surprisingly a lot funnier than I was expecting

444
00:23:05,960 --> 00:23:08,240
Speaker 1: because it was a lot more raunchy than I was.

445
00:23:09,640 --> 00:23:12,000
Speaker 1: It is a pretty raunchy movie, but I think it

446
00:23:12,040 --> 00:23:16,760
Speaker 1: works really well. It's kind of a hybrid of a

447
00:23:16,880 --> 00:23:22,439
Speaker 1: like a almost the Bridesmaid's kind of humor, but in

448
00:23:22,520 --> 00:23:24,800
Speaker 1: a kind of more wrong colm way, I can't really

449
00:23:24,800 --> 00:23:28,040
Speaker 1: describe that kind of raunchyness. Yeah, it wasn't. It's not

450
00:23:28,119 --> 00:23:30,359
Speaker 1: like terribly raunchy. So if anyone's listening and you're like, oh,

451
00:23:30,359 --> 00:23:33,520
Speaker 1: I don't want to watch it, it's yeah, it's definitely

452
00:23:33,560 --> 00:23:35,680
Speaker 1: I don't. I wouldn't say it's Bridesmaids are like hangover

453
00:23:35,800 --> 00:23:39,840
Speaker 1: level raunchy Bridesmaid's comedy level. I'd say it's a little

454
00:23:39,920 --> 00:23:43,760
Speaker 1: more crude than raunchy, if that makes sense. There's more cursing,

455
00:23:44,280 --> 00:23:46,600
Speaker 1: but less just straight on like oh here, I can't

456
00:23:46,640 --> 00:23:49,320
Speaker 1: believe that's happening right now. The movie though, I really

457
00:23:49,400 --> 00:23:52,480
Speaker 1: enjoyed it, and I literally laughed out loud during it,

458
00:23:52,560 --> 00:23:55,440
Speaker 1: and I wasn't really expecting to laugh like that. Did

459
00:23:55,440 --> 00:23:57,520
Speaker 1: he get you? Two? Oh? It did? I just needed

460
00:23:57,600 --> 00:24:03,040
Speaker 1: something funny? Eight? Yeah, and it's met all the requirements.

461
00:24:03,640 --> 00:24:06,400
Speaker 1: Do you like Emma Roberts. I do. I wouldn't say

462
00:24:06,440 --> 00:24:10,280
Speaker 1: that I like seek out movies that she's in, but

463
00:24:10,359 --> 00:24:12,359
Speaker 1: I like her well. I have worked on my top

464
00:24:12,440 --> 00:24:15,400
Speaker 1: five Emma Roberts movies, and I didn't realize how big

465
00:24:15,440 --> 00:24:17,720
Speaker 1: of a fan I was of her. If you don't

466
00:24:17,720 --> 00:24:21,919
Speaker 1: know she is related to Julia Roberts, that's her aunt.

467
00:24:22,560 --> 00:24:25,160
Speaker 1: So that is the connection there. And I said aunt,

468
00:24:25,680 --> 00:24:29,879
Speaker 1: I said aunt? Am I aunt person? I guess I'm

469
00:24:29,920 --> 00:24:32,560
Speaker 1: an on person. Would I say aunt? I'm straight up

470
00:24:32,560 --> 00:24:35,200
Speaker 1: texting it is aunt. Oh? Well, I don't really say aunt.

471
00:24:35,280 --> 00:24:37,680
Speaker 1: I actually say THEA. I was gonna say, you never

472
00:24:37,840 --> 00:24:39,919
Speaker 1: called any of them. I've never called any of my

473
00:24:40,040 --> 00:24:42,240
Speaker 1: family or not, so I'll call him my dia or

474
00:24:42,280 --> 00:24:45,359
Speaker 1: my deal. So that's so we just learned something. Unless

475
00:24:45,359 --> 00:24:48,000
Speaker 1: I'm addressing my own aunt, I never call him that aunt.

476
00:24:48,640 --> 00:24:50,520
Speaker 1: I call him my aunt. Can take me a minute

477
00:24:50,520 --> 00:24:53,840
Speaker 1: to get past that. Anyway, back to Emma Roberts, she's

478
00:24:53,840 --> 00:25:00,639
Speaker 1: related to Julia. Uh, my top five Emma rob It's movies.

479
00:25:00,920 --> 00:25:03,800
Speaker 1: I'm putting this in a number five. I felt it

480
00:25:03,880 --> 00:25:06,119
Speaker 1: was a really solid movie all the way through it

481
00:25:06,160 --> 00:25:09,320
Speaker 1: made me laugh, and it's kind of what I needed.

482
00:25:09,440 --> 00:25:13,639
Speaker 1: It's a good palate cleanser movie. I watched Borat and

483
00:25:13,720 --> 00:25:16,160
Speaker 1: some other horror movies recently, and this was a good reset.

484
00:25:16,240 --> 00:25:18,639
Speaker 1: But not only that, like it kept my attention throughout

485
00:25:18,640 --> 00:25:21,840
Speaker 1: the entire movie. Unlike some other movies I've watched recently

486
00:25:21,840 --> 00:25:23,439
Speaker 1: to where I drift a little bit or get a

487
00:25:23,440 --> 00:25:27,240
Speaker 1: little bored Rick has slow parts. Surprisingly, this movie kept

488
00:25:27,240 --> 00:25:30,280
Speaker 1: my intention the entire time. So I'm putting Get at

489
00:25:30,320 --> 00:25:32,520
Speaker 1: number five on my em and Robert's list. At number four,

490
00:25:33,359 --> 00:25:36,800
Speaker 1: I'm going with a movie called Blow, which is Johnny Depp,

491
00:25:37,160 --> 00:25:39,960
Speaker 1: and this is Robert's very first movie. So she was

492
00:25:40,000 --> 00:25:42,600
Speaker 1: like literally a kid in this movie. Had a very

493
00:25:42,640 --> 00:25:46,119
Speaker 1: brief scene. But I just think it's really interesting to

494
00:25:46,160 --> 00:25:49,399
Speaker 1: watch her from a very young age already being in

495
00:25:49,440 --> 00:25:51,520
Speaker 1: like such a serious movie and all the movies she's

496
00:25:51,560 --> 00:25:54,800
Speaker 1: done since. Um, that's a really good movie. I'll put

497
00:25:54,800 --> 00:25:57,400
Speaker 1: that at number four. At number three, I'm gonna put

498
00:25:57,440 --> 00:25:59,679
Speaker 1: it's kind of a funny story. It's a movie with

499
00:25:59,720 --> 00:26:02,399
Speaker 1: her Zach Galifinnakis, and it's based on a book and

500
00:26:02,440 --> 00:26:05,240
Speaker 1: she's living in a psych ward. There was actually a

501
00:26:05,320 --> 00:26:08,680
Speaker 1: music video that fans made from footage of the movie

502
00:26:09,240 --> 00:26:11,719
Speaker 1: to a Blink at two song, and then Blink at

503
00:26:11,840 --> 00:26:14,960
Speaker 1: Two saw that music video and based their own official

504
00:26:15,040 --> 00:26:16,680
Speaker 1: music video on that. So I thought that was a

505
00:26:16,680 --> 00:26:19,359
Speaker 1: pretty cool connection, but also a really good movie. Also

506
00:26:19,440 --> 00:26:21,800
Speaker 1: kind of a sad movie. But I really like turn

507
00:26:21,880 --> 00:26:25,720
Speaker 1: that one. At number two, I'm gonna go with We're

508
00:26:25,720 --> 00:26:30,640
Speaker 1: the Miller's a funny one. I forgot she was in that. Yeah,

509
00:26:30,680 --> 00:26:33,720
Speaker 1: I think that was kind of her a really big

510
00:26:33,800 --> 00:26:37,760
Speaker 1: hit for because it was a comedy and an oddly

511
00:26:37,840 --> 00:26:42,560
Speaker 1: really funny movie. Again, kind of a dumb premise, but

512
00:26:42,680 --> 00:26:45,200
Speaker 1: it works. And at number one, I'm putting this movie

513
00:26:45,240 --> 00:26:48,560
Speaker 1: called Nerve what She did with Dave Franco, the brother

514
00:26:48,720 --> 00:26:52,439
Speaker 1: of James Franco correct and it's about she's like in

515
00:26:52,520 --> 00:26:55,080
Speaker 1: high school and she gets put into like this game

516
00:26:55,119 --> 00:26:57,960
Speaker 1: of like truth or Dare and it's like this weird

517
00:26:58,080 --> 00:27:02,080
Speaker 1: kind of futuristic scenario to where they have people watching

518
00:27:02,080 --> 00:27:04,639
Speaker 1: them kind of like you do like on like it's

519
00:27:04,680 --> 00:27:06,240
Speaker 1: like a live stream, and they're having to do like

520
00:27:06,280 --> 00:27:10,239
Speaker 1: these truth or Dare challenges to win points and they

521
00:27:10,320 --> 00:27:14,600
Speaker 1: end up getting like manipulated by this weird kind of entity.

522
00:27:14,640 --> 00:27:17,840
Speaker 1: It's really great, and you're looking at me weird as

523
00:27:17,880 --> 00:27:22,800
Speaker 1: I do my hand motions. But yeah, that's a good movie. Anyway.

524
00:27:23,000 --> 00:27:25,800
Speaker 1: Interjected there with my top five member Roberts movies. But

525
00:27:25,880 --> 00:27:28,160
Speaker 1: back to The Holiday, which I put at number five,

526
00:27:28,720 --> 00:27:30,879
Speaker 1: what would you give it as a rating? I would

527
00:27:30,880 --> 00:27:33,440
Speaker 1: give it four out of five mall laps. That is

528
00:27:33,480 --> 00:27:36,760
Speaker 1: a very good system. Now in this movie, they meet

529
00:27:36,800 --> 00:27:39,720
Speaker 1: at the mall and they go to the mall a lot,

530
00:27:39,960 --> 00:27:44,240
Speaker 1: and I feel I am the only person. Maybe not now,

531
00:27:44,640 --> 00:27:46,960
Speaker 1: while we're living in a pandemic that loves going to

532
00:27:47,040 --> 00:27:51,240
Speaker 1: the mall. You love them all like weirdly love them all.

533
00:27:51,440 --> 00:27:55,800
Speaker 1: I'll explain why. As a kid, my parents would take

534
00:27:55,880 --> 00:27:58,280
Speaker 1: us to the mall. As a family. We would never

535
00:27:58,320 --> 00:28:00,880
Speaker 1: buy anything, but we would go to them all and

536
00:28:01,119 --> 00:28:04,240
Speaker 1: it felt like going to an amusement park. You pull

537
00:28:04,359 --> 00:28:06,840
Speaker 1: up to the mall and back in the day it

538
00:28:06,920 --> 00:28:11,639
Speaker 1: was called Redbird Mall in Dallas, and there was something

539
00:28:11,680 --> 00:28:13,959
Speaker 1: about the experience that I loved. We would walk in

540
00:28:14,000 --> 00:28:17,480
Speaker 1: from sears, I would go take the escalator up to

541
00:28:17,560 --> 00:28:19,359
Speaker 1: play the video games. I think it was an in

542
00:28:19,400 --> 00:28:22,080
Speaker 1: sixty four at the time, and the whole kind of

543
00:28:22,119 --> 00:28:25,040
Speaker 1: experience that there was just going into every store. I

544
00:28:25,280 --> 00:28:30,399
Speaker 1: go to Electronics Boutique, which was entertainment video game store,

545
00:28:30,680 --> 00:28:32,560
Speaker 1: just look around at all the things that I couldn't

546
00:28:32,600 --> 00:28:35,160
Speaker 1: afford or buy. We would walk through the food court.

547
00:28:35,200 --> 00:28:38,600
Speaker 1: Again wouldn't buy anything, but it just was an experience

548
00:28:38,680 --> 00:28:42,120
Speaker 1: that I remember as a kid loving that kind of

549
00:28:42,200 --> 00:28:46,080
Speaker 1: family time too, but it always just felt like doing

550
00:28:46,120 --> 00:28:49,800
Speaker 1: something special and fun. So as an adult, same thing.

551
00:28:50,080 --> 00:28:53,760
Speaker 1: A good mall was something I enjoyed doing. I still

552
00:28:53,760 --> 00:28:55,800
Speaker 1: wouldn't buy a whole lot of stuff as an adult,

553
00:28:55,800 --> 00:28:57,440
Speaker 1: but I would get a coffee and just go up

554
00:28:57,440 --> 00:28:59,480
Speaker 1: and down the mall. Me and my brother would do that.

555
00:29:00,120 --> 00:29:03,160
Speaker 1: And then when you and I started dating, that was

556
00:29:03,240 --> 00:29:05,200
Speaker 1: something I kind of showed you a I like going

557
00:29:05,280 --> 00:29:08,440
Speaker 1: to the mall, which for you, was it weird dating

558
00:29:08,440 --> 00:29:10,520
Speaker 1: a guy that liked going to the mall? No, because

559
00:29:10,560 --> 00:29:12,520
Speaker 1: I it's not that I don't like them all, and

560
00:29:12,560 --> 00:29:16,440
Speaker 1: I get your like childhood love of it. I loved

561
00:29:16,440 --> 00:29:17,600
Speaker 1: it too. My mom and I would go to the

562
00:29:17,600 --> 00:29:20,040
Speaker 1: Hello Kiddie store that was always great, or the candy store,

563
00:29:20,040 --> 00:29:22,040
Speaker 1: so I have good, like childhood memories of them all,

564
00:29:22,360 --> 00:29:24,400
Speaker 1: but as an adult, I just associate the mall with

565
00:29:24,480 --> 00:29:26,960
Speaker 1: like when you really need clothes for like the one

566
00:29:27,000 --> 00:29:29,040
Speaker 1: special occasion coming up in like two days, and you

567
00:29:29,120 --> 00:29:31,760
Speaker 1: go and you find nothing, and you're really annoyed because

568
00:29:31,760 --> 00:29:33,640
Speaker 1: the mall has a ton of options and you can't

569
00:29:33,640 --> 00:29:35,480
Speaker 1: find anything. Or I go the mall and I spent

570
00:29:35,560 --> 00:29:37,360
Speaker 1: too much money, So I just try to stay away

571
00:29:37,400 --> 00:29:41,680
Speaker 1: from them all. One thing you presented to me about

572
00:29:41,720 --> 00:29:44,320
Speaker 1: the mall that I didn't know that kids actually did

573
00:29:45,000 --> 00:29:48,080
Speaker 1: was going to build a bear. I loved Builder. Don't

574
00:29:48,120 --> 00:29:50,560
Speaker 1: even get me started on build a bear. Now. I

575
00:29:50,600 --> 00:29:54,840
Speaker 1: never built the bear. I remember seeing the store, but again,

576
00:29:55,160 --> 00:29:57,360
Speaker 1: I had so many of them, and they all there

577
00:29:57,400 --> 00:30:00,320
Speaker 1: was an outfit for every day of the week. One

578
00:30:00,360 --> 00:30:02,640
Speaker 1: of my Builder bears had like a little couch. Oh,

579
00:30:02,720 --> 00:30:05,920
Speaker 1: they come with couches. That was extra. That was an

580
00:30:05,920 --> 00:30:09,560
Speaker 1: accessory purchase. I would get the catalogs at a birthday party.

581
00:30:09,600 --> 00:30:12,120
Speaker 1: There one time you put a little heart net and

582
00:30:12,120 --> 00:30:13,880
Speaker 1: you tell it that you love it. You tell the

583
00:30:13,920 --> 00:30:16,040
Speaker 1: bear that you love it when you make it. You

584
00:30:16,160 --> 00:30:19,200
Speaker 1: rubbed the heart between your hands so it's warm. And

585
00:30:20,040 --> 00:30:22,200
Speaker 1: what did you do with all the Building bears you made?

586
00:30:23,280 --> 00:30:25,520
Speaker 1: I think my mom and I probably give him away.

587
00:30:25,560 --> 00:30:28,320
Speaker 1: I didn't throw them away. But I hated them. After

588
00:30:28,360 --> 00:30:30,600
Speaker 1: you told him that you love him, you donated them.

589
00:30:31,080 --> 00:30:32,680
Speaker 1: What was I supposed to do with them? They didn't

590
00:30:32,680 --> 00:30:36,120
Speaker 1: get upset at you. I had a lot of bears.

591
00:30:36,400 --> 00:30:38,640
Speaker 1: Did you want me to bring them into this relationship?

592
00:30:38,680 --> 00:30:40,600
Speaker 1: I thought they were still in your suitcases packed here.

593
00:30:42,200 --> 00:30:46,080
Speaker 1: But I never built a bear. Maybe we have little

594
00:30:46,080 --> 00:30:47,640
Speaker 1: one some day we take them to build a bear.

595
00:30:47,680 --> 00:30:50,360
Speaker 1: But already said I'm so down for build a bear. Okay,

596
00:30:50,600 --> 00:30:53,480
Speaker 1: you have to choose the you like, put the stuffing

597
00:30:53,480 --> 00:30:56,640
Speaker 1: and you step on the pump. Now I'm just do

598
00:30:56,680 --> 00:31:00,560
Speaker 1: you work for them? This is not an adam. If

599
00:31:00,560 --> 00:31:03,400
Speaker 1: you want us to do as I will. But currently

600
00:31:03,400 --> 00:31:06,000
Speaker 1: this podcast is not sponsored by Bill, the Bear or

601
00:31:06,080 --> 00:31:10,160
Speaker 1: the mall. Also, while watching this movie, I was trying

602
00:31:10,200 --> 00:31:12,280
Speaker 1: to be like, I think I know where that mall is.

603
00:31:12,400 --> 00:31:15,880
Speaker 1: Then I realized that every single mall looks exactly. I

604
00:31:15,880 --> 00:31:17,520
Speaker 1: don't know why I was like, I know that mall.

605
00:31:17,760 --> 00:31:20,480
Speaker 1: There's a foot action underneath the escalator. I've been there.

606
00:31:21,640 --> 00:31:23,920
Speaker 1: But yes, I did enjoy that aspect of this movie

607
00:31:23,920 --> 00:31:26,680
Speaker 1: of them connecting at the mall. I would give this movie.

608
00:31:27,160 --> 00:31:28,880
Speaker 1: I'm right there with you. I think it's a good

609
00:31:29,560 --> 00:31:34,959
Speaker 1: four out of five. I'm gonna say Australians. Four out

610
00:31:34,960 --> 00:31:38,240
Speaker 1: of five Australians. I liked it. Also, Christin Shinnawith is

611
00:31:38,320 --> 00:31:41,360
Speaker 1: hilarious in it. She is great. She's so funny. I

612
00:31:41,400 --> 00:31:43,960
Speaker 1: had a could cast another movie with a good cast.

613
00:31:44,680 --> 00:31:47,080
Speaker 1: All right, so that is the holiday. You're going to

614
00:31:47,160 --> 00:31:50,640
Speaker 1: give an honorable mention to Emma robertson Unfabulous and Nickelodeon.

615
00:31:50,720 --> 00:31:52,560
Speaker 1: Oh yeah, that's not a movie, so I won't get

616
00:31:52,560 --> 00:31:56,480
Speaker 1: into that. I'm just kidding. Yeah, I was Unfabulous kid.

617
00:31:57,240 --> 00:32:00,280
Speaker 1: I was more Nickelodeon than I was Disney. There was

618
00:32:00,320 --> 00:32:03,280
Speaker 1: a really early two thousand period where they put out

619
00:32:03,320 --> 00:32:06,160
Speaker 1: some really great shows, Unfabulous with one of them, had

620
00:32:06,160 --> 00:32:09,000
Speaker 1: to declassified with one of them. So I was more

621
00:32:09,040 --> 00:32:11,400
Speaker 1: of a Nickelodeon kid. What about you? I feel like

622
00:32:11,400 --> 00:32:13,560
Speaker 1: I was both. I watched a lot of TV, so

623
00:32:13,640 --> 00:32:15,920
Speaker 1: I I liked it all. I was a Disney kid

624
00:32:15,920 --> 00:32:19,080
Speaker 1: for a while, but I can appreciate a good un Fabulous.

625
00:32:19,080 --> 00:32:22,240
Speaker 1: It was a Zoe one on one. I never really

626
00:32:22,280 --> 00:32:24,760
Speaker 1: got into that. It was a big one fan. Well,

627
00:32:24,760 --> 00:32:29,040
Speaker 1: there you go, an extra Nickelodeon review. All right. What

628
00:32:29,080 --> 00:32:31,000
Speaker 1: I want to talk about next is the movie. I

629
00:32:31,120 --> 00:32:34,000
Speaker 1: wasted twenty dollars on this weekend. I want to see

630
00:32:34,000 --> 00:32:37,560
Speaker 1: how you feel about me wasting twenty dollars in a movie. Okay, alright,

631
00:32:37,760 --> 00:32:44,360
Speaker 1: talking about that all right. So I think this is

632
00:32:44,440 --> 00:32:46,600
Speaker 1: kind of the new norm now when it comes to

633
00:32:46,640 --> 00:32:49,880
Speaker 1: watching movies that are sort of in theaters right now,

634
00:32:49,880 --> 00:32:53,440
Speaker 1: which pretty much nothing new is coming out, but also

635
00:32:53,560 --> 00:32:56,360
Speaker 1: kind of on demand. And what they do is they'll

636
00:32:56,360 --> 00:32:58,400
Speaker 1: put them out in select theaters, but they'll also make

637
00:32:58,440 --> 00:33:01,960
Speaker 1: them available to watch or twenty at home. And there's

638
00:33:02,000 --> 00:33:04,520
Speaker 1: this movie I've been wanting to see now for a

639
00:33:04,520 --> 00:33:08,400
Speaker 1: while called Ka Jillionaire that just sounds great, like that

640
00:33:08,760 --> 00:33:11,200
Speaker 1: Screams Award winning Well. I knew it was going to

641
00:33:11,280 --> 00:33:14,920
Speaker 1: be kind of an indie movie and I like those

642
00:33:14,960 --> 00:33:17,840
Speaker 1: every now and then, and it was getting really great reviews.

643
00:33:17,840 --> 00:33:21,920
Speaker 1: It had score on rot Tomatoes, so I was like, Okay,

644
00:33:22,160 --> 00:33:24,360
Speaker 1: I will watch this movie. I thought it was available

645
00:33:24,400 --> 00:33:26,840
Speaker 1: with just a stream at this point, but it's still

646
00:33:26,880 --> 00:33:29,960
Speaker 1: twenty bucks, and I was like, you know what, I

647
00:33:30,000 --> 00:33:33,560
Speaker 1: need to see something new. The premise of it sounded

648
00:33:33,560 --> 00:33:37,080
Speaker 1: pretty good, and so it's about this family who has

649
00:33:37,120 --> 00:33:40,280
Speaker 1: taught their only daughter how to be a con artist.

650
00:33:40,360 --> 00:33:43,000
Speaker 1: And how to do these little things to make them

651
00:33:43,000 --> 00:33:45,920
Speaker 1: money and basically steal from people or just kind of

652
00:33:46,520 --> 00:33:49,959
Speaker 1: find a way to swindle or just be a con

653
00:33:50,080 --> 00:33:52,080
Speaker 1: artist basically. And I was like, that sounds interesting enough.

654
00:33:52,280 --> 00:33:54,520
Speaker 1: The main girl in it is Evan rachel Wood and

655
00:33:54,520 --> 00:33:57,840
Speaker 1: it also has Dina Rodriguez who is from Jane the Virgin.

656
00:33:57,880 --> 00:34:00,640
Speaker 1: Another connection here. There we go. So was like, Okay,

657
00:34:00,640 --> 00:34:03,040
Speaker 1: this movie has to be at least a good watch.

658
00:34:03,080 --> 00:34:06,160
Speaker 1: It has the rating here, I'll put up the twenty

659
00:34:06,200 --> 00:34:08,359
Speaker 1: bucks to watch it, which is a lot. Now, if

660
00:34:08,360 --> 00:34:10,399
Speaker 1: we watch a movie together, I can justify a little

661
00:34:10,440 --> 00:34:12,680
Speaker 1: more because it's like paying for a movie ticket ten bucks.

662
00:34:12,680 --> 00:34:15,080
Speaker 1: Ten bucks. That's probably what we spend in the movies.

663
00:34:15,520 --> 00:34:17,479
Speaker 1: But I knew you probably working to watch this movie

664
00:34:17,520 --> 00:34:21,280
Speaker 1: for me with me, And what I do on Saturday

665
00:34:21,320 --> 00:34:24,839
Speaker 1: mornings is wake up early and watch a movie. You

666
00:34:24,840 --> 00:34:28,040
Speaker 1: get up so early on Saturdays. I know it's obnoxious,

667
00:34:28,080 --> 00:34:32,560
Speaker 1: like sixty some weeks it was seven this time, still early,

668
00:34:32,960 --> 00:34:34,319
Speaker 1: but that's what I like to do. It's my one

669
00:34:34,320 --> 00:34:37,600
Speaker 1: little piece sometimes every week, just to sit down and

670
00:34:37,640 --> 00:34:39,600
Speaker 1: watch a movie. That's the only time I let you

671
00:34:39,600 --> 00:34:41,600
Speaker 1: watch a movie in quiet. No, But it's the only

672
00:34:41,640 --> 00:34:43,279
Speaker 1: time I can watch a movie that you don't want

673
00:34:43,280 --> 00:34:47,200
Speaker 1: to watch. Fair. That's where I save, like the indie

674
00:34:47,200 --> 00:34:50,360
Speaker 1: flick or the horror movie, something you won't be into,

675
00:34:50,880 --> 00:34:54,560
Speaker 1: and it's my little couch movie time. But anyway, spending

676
00:34:54,600 --> 00:34:57,000
Speaker 1: twenty bucks just to watch a movie by myself, it's

677
00:34:57,000 --> 00:35:01,600
Speaker 1: a bit of an investment. And this movie, about twenty

678
00:35:01,640 --> 00:35:04,600
Speaker 1: minutes in, I would have rated at a four. I

679
00:35:04,680 --> 00:35:08,440
Speaker 1: like movies that are a little odd based in reality.

680
00:35:08,480 --> 00:35:12,400
Speaker 1: That's not that could happen, but it's just so far vetched.

681
00:35:12,400 --> 00:35:14,440
Speaker 1: It feels kind of like a fairy tale. I'm fine

682
00:35:14,480 --> 00:35:17,440
Speaker 1: with that. I kind of like those odd off the

683
00:35:17,520 --> 00:35:20,520
Speaker 1: center movies. That's what I felt like this movie was

684
00:35:20,560 --> 00:35:24,319
Speaker 1: in the first twenty minutes. And then right around the

685
00:35:24,320 --> 00:35:27,640
Speaker 1: time it starts to develop, they're basically trying to find

686
00:35:27,640 --> 00:35:32,520
Speaker 1: a way to raise and they're gonna scam an airline.

687
00:35:33,160 --> 00:35:36,799
Speaker 1: Is basically what the movie is about. But after that

688
00:35:36,920 --> 00:35:40,560
Speaker 1: it really just falls off and leads nowhere, and it

689
00:35:40,600 --> 00:35:46,120
Speaker 1: turns into a movie about this girl worrying about becoming

690
00:35:46,160 --> 00:35:49,879
Speaker 1: her parents and her struggling with the fact that her

691
00:35:49,960 --> 00:35:54,280
Speaker 1: parents never treated her like a child, even like their daughters.

692
00:35:54,400 --> 00:35:58,440
Speaker 1: They basically treated her like she was a partner in

693
00:35:58,480 --> 00:36:02,839
Speaker 1: their con artists whole business adventure, and then it ends

694
00:36:02,880 --> 00:36:09,000
Speaker 1: with her becoming romantically involved with Gina Rodriguez's character. I

695
00:36:09,040 --> 00:36:11,319
Speaker 1: won't spoil the into movie into the movie in case

696
00:36:11,360 --> 00:36:13,240
Speaker 1: you want to watch it, but it just turns into

697
00:36:13,280 --> 00:36:18,960
Speaker 1: them having this weird relationship. And this is the only

698
00:36:19,040 --> 00:36:22,239
Speaker 1: movie I've watched this entire year to where I was like,

699
00:36:22,360 --> 00:36:25,279
Speaker 1: what is this movie? What is happening here? Did I

700
00:36:25,440 --> 00:36:29,399
Speaker 1: miss something? I think there was kind of an existential

701
00:36:29,480 --> 00:36:34,080
Speaker 1: theme here of I don't know, the worry of becoming

702
00:36:34,080 --> 00:36:37,880
Speaker 1: your parents or just finding something like that. But I

703
00:36:37,920 --> 00:36:41,960
Speaker 1: thought the movie was terrible, and I think it sucks

704
00:36:42,000 --> 00:36:44,160
Speaker 1: that just to find that out, I had to waste

705
00:36:44,160 --> 00:36:48,280
Speaker 1: twenty dollars. What do you think about that, about wasting

706
00:36:48,280 --> 00:36:50,279
Speaker 1: twenty bucks on a movie. I don't feel like there's

707
00:36:50,280 --> 00:36:52,040
Speaker 1: any different than anytime we've gone to a movie and

708
00:36:52,080 --> 00:36:54,239
Speaker 1: not really liked it. It feel like you take that

709
00:36:54,360 --> 00:36:56,879
Speaker 1: risk going to a movie, Like there's been movies where

710
00:36:56,880 --> 00:36:58,960
Speaker 1: the trailer looks great and then you go spend twenty

711
00:36:59,000 --> 00:37:00,239
Speaker 1: dollars to see it, and then you really is that

712
00:37:00,320 --> 00:37:01,920
Speaker 1: every funny part was in the trailer and there was

713
00:37:01,960 --> 00:37:04,680
Speaker 1: nothing else. You're right, I feel like it's that big

714
00:37:04,719 --> 00:37:07,000
Speaker 1: of a deal. I guess I didn't think about it

715
00:37:07,040 --> 00:37:10,200
Speaker 1: that way. I just feel like when you at least

716
00:37:10,440 --> 00:37:12,640
Speaker 1: go to see a movie in theaters, whether it's good

717
00:37:12,719 --> 00:37:16,479
Speaker 1: or not, you at least experience something a little bit more.

718
00:37:17,520 --> 00:37:20,239
Speaker 1: And there's just some kind of disconnect to when you

719
00:37:20,360 --> 00:37:23,000
Speaker 1: press okay on a movie, even if it's paying for

720
00:37:23,080 --> 00:37:26,879
Speaker 1: like a app on your phone. It's a little bit

721
00:37:26,920 --> 00:37:28,759
Speaker 1: more of a step to take to do that. And

722
00:37:28,920 --> 00:37:31,239
Speaker 1: I don't know, there's something mentally in my brain that

723
00:37:31,280 --> 00:37:34,000
Speaker 1: goes off of like, Okay, I'm gonna be spending twenty

724
00:37:34,000 --> 00:37:37,799
Speaker 1: bucks by clicking this button, aside from when I like,

725
00:37:37,920 --> 00:37:40,080
Speaker 1: hand somebody twenty bucks, like it's easier for me to

726
00:37:40,120 --> 00:37:42,279
Speaker 1: go spend twenty bucks on the store and something. But

727
00:37:42,400 --> 00:37:44,719
Speaker 1: just something about that online process to where I feel

728
00:37:44,719 --> 00:37:47,560
Speaker 1: like watching a movie on a streaming service and paying

729
00:37:47,560 --> 00:37:50,160
Speaker 1: for it at home feels like you're getting less than

730
00:37:50,200 --> 00:37:52,440
Speaker 1: you do going to a movie theater is what I

731
00:37:52,440 --> 00:37:54,840
Speaker 1: think is what I struggle with. So it kind of

732
00:37:54,840 --> 00:37:56,880
Speaker 1: felt for me like I got ripped off at the

733
00:37:56,960 --> 00:37:58,239
Speaker 1: end of this movie of like, man, I just spent

734
00:37:58,280 --> 00:38:03,520
Speaker 1: twenty bucks on that and it is awful, So I

735
00:38:03,560 --> 00:38:07,359
Speaker 1: don't know. I think I'll have to The weird part

736
00:38:07,360 --> 00:38:10,360
Speaker 1: about this movie, though, is that it has a really

737
00:38:10,400 --> 00:38:15,200
Speaker 1: good Rotten Tomato score but a low audience score. And

738
00:38:15,239 --> 00:38:18,840
Speaker 1: we were talking about the movie Holiday earlier that has

739
00:38:19,719 --> 00:38:24,560
Speaker 1: a lower critics score and a higher audience score. So

740
00:38:24,600 --> 00:38:26,799
Speaker 1: I never understood movie critics scores. I'm like, what are

741
00:38:26,800 --> 00:38:29,359
Speaker 1: you looking for? Yeah, I don't really get him all

742
00:38:29,400 --> 00:38:33,560
Speaker 1: the time either, because a movie like a Juillionaire critics

743
00:38:33,600 --> 00:38:36,399
Speaker 1: are gonna love, I think more so because they find

744
00:38:36,400 --> 00:38:38,759
Speaker 1: something different about it, and they also have to have

745
00:38:38,800 --> 00:38:41,319
Speaker 1: a more I don't know a movie palette of like

746
00:38:41,880 --> 00:38:43,799
Speaker 1: knowing what is good and being like, oh, this movie

747
00:38:43,880 --> 00:38:46,239
Speaker 1: is good. You guys don't know good movies, Like, no,

748
00:38:46,400 --> 00:38:48,200
Speaker 1: I know what a good movie is. Like, I was

749
00:38:48,440 --> 00:38:50,880
Speaker 1: in no way entertained by this, and if it was

750
00:38:50,920 --> 00:38:53,160
Speaker 1: trying to say something that I didn't see while watching it,

751
00:38:53,200 --> 00:38:56,319
Speaker 1: then it did a bad job. Unlike a movie like

752
00:38:56,320 --> 00:38:59,080
Speaker 1: The Holiday, I knew exactly what that was and exactly

753
00:38:59,080 --> 00:39:02,280
Speaker 1: what was going on. I know it wasn't anything groundbreaking,

754
00:39:02,360 --> 00:39:05,440
Speaker 1: but you and I enjoyed that movie. We would give

755
00:39:05,440 --> 00:39:08,120
Speaker 1: it a great rating. Rot Tomato sees that movie and

756
00:39:08,160 --> 00:39:12,600
Speaker 1: they're like, nah, bad rating. So I think there's a

757
00:39:12,680 --> 00:39:17,120
Speaker 1: little bit something flawed in looking at that Rotten Tomato score,

758
00:39:17,160 --> 00:39:19,719
Speaker 1: which I admit sometimes I have been guilty of, like

759
00:39:19,760 --> 00:39:22,200
Speaker 1: looking at a movie and having a bad score and thinking, oh,

760
00:39:22,200 --> 00:39:24,600
Speaker 1: I'm not gonna watch it. They've said it's bad. So

761
00:39:25,719 --> 00:39:28,160
Speaker 1: if you are looking up movies on Rotten Tomatoes, which

762
00:39:28,200 --> 00:39:30,640
Speaker 1: you should be getting all your recommendations from this podcast,

763
00:39:30,880 --> 00:39:33,839
Speaker 1: what am I talking about? But I'd say look at

764
00:39:33,840 --> 00:39:36,360
Speaker 1: the audience score more than looking at the critics score.

765
00:39:37,440 --> 00:39:40,080
Speaker 1: I think it's it's more of a reflection of people

766
00:39:41,239 --> 00:39:43,799
Speaker 1: like you listening to this podcast, of just people who

767
00:39:43,840 --> 00:39:46,640
Speaker 1: want to watch something good and not just something that

768
00:39:46,680 --> 00:39:49,239
Speaker 1: you're going to be like, oh, this is critically acclaimed

769
00:39:49,280 --> 00:39:55,239
Speaker 1: in every way, So in no way i'd say check

770
00:39:55,239 --> 00:40:00,239
Speaker 1: out Kajulionaire. Um, yeah, it fell flat. I'll take the

771
00:40:00,280 --> 00:40:02,840
Speaker 1: hit on the twenty bucks and I'll put it towards

772
00:40:02,880 --> 00:40:06,319
Speaker 1: something else later that's better to watch. All Right, That

773
00:40:06,440 --> 00:40:09,560
Speaker 1: is my rant on twenty movies. Alright, a quick bit

774
00:40:09,600 --> 00:40:12,839
Speaker 1: of movie news as we wrap up this episode. Thanks

775
00:40:12,840 --> 00:40:14,040
Speaker 1: for hanging out with me, by the way, for the

776
00:40:14,120 --> 00:40:16,719
Speaker 1: entire episode. What else was I gonna do. I don't know.

777
00:40:17,360 --> 00:40:19,279
Speaker 1: You could do it. You could do anything, and you

778
00:40:19,360 --> 00:40:21,720
Speaker 1: decided to be here, and I appreciate it. You're welcome.

779
00:40:21,760 --> 00:40:26,759
Speaker 1: Sorry that was that. I apologize, but we both saw

780
00:40:26,800 --> 00:40:29,640
Speaker 1: this over the weekend of Sean Connery passing away. He

781
00:40:29,800 --> 00:40:32,799
Speaker 1: was ninety years old, most known for playing and being

782
00:40:32,840 --> 00:40:36,799
Speaker 1: the original James Bond and what everybody would say is

783
00:40:36,880 --> 00:40:39,919
Speaker 1: the best James Bond and a little bit before both

784
00:40:39,960 --> 00:40:42,359
Speaker 1: of our times. But he is the person I just

785
00:40:42,560 --> 00:40:46,560
Speaker 1: knew and identified always with James Bond in our lifetime.

786
00:40:46,600 --> 00:40:48,680
Speaker 1: I guess it was more Pierce Braws in and then

787
00:40:48,719 --> 00:40:51,200
Speaker 1: now Daniel Craig, who I think there's a really great

788
00:40:51,280 --> 00:40:54,400
Speaker 1: job at it. Again, the Double seven movies now aren't

789
00:40:54,400 --> 00:40:56,719
Speaker 1: really my favorite, but when it comes to the classics

790
00:40:56,760 --> 00:40:59,600
Speaker 1: of the James Bond movies, I think it is, without

791
00:40:59,640 --> 00:41:02,759
Speaker 1: a doubt Sean Connery's role. He started in seven of

792
00:41:02,760 --> 00:41:05,960
Speaker 1: the Bond films between nineteen sixty two and nineteen eighty three,

793
00:41:06,400 --> 00:41:08,840
Speaker 1: basically his biggest movies. He did end up winning an

794
00:41:08,840 --> 00:41:12,120
Speaker 1: Academy Award later down the line. But I think that's

795
00:41:12,160 --> 00:41:14,600
Speaker 1: what I saw everywhere Buddy really posting about over the

796
00:41:14,640 --> 00:41:19,080
Speaker 1: weekend about him passing away. So that's another that's another

797
00:41:19,120 --> 00:41:22,840
Speaker 1: big movie loss in actors this year. So rest in

798
00:41:22,880 --> 00:41:25,680
Speaker 1: peace to Sean Connery in his honor, go watch one

799
00:41:25,680 --> 00:41:28,920
Speaker 1: of his classic James Bond movies. And kind of related

800
00:41:28,960 --> 00:41:31,520
Speaker 1: to that is there was some rumors about the new

801
00:41:31,600 --> 00:41:34,920
Speaker 1: James Bond movie kind of being chopped around to Netflix,

802
00:41:35,640 --> 00:41:37,359
Speaker 1: but it looks like they're still going to come out

803
00:41:37,400 --> 00:41:40,920
Speaker 1: with a theatrical release one, but for a very brief

804
00:41:40,920 --> 00:41:43,920
Speaker 1: moment this week, there was discussion of it just dropping

805
00:41:43,920 --> 00:41:47,040
Speaker 1: on Netflix, which I think would be huge for them

806
00:41:47,080 --> 00:41:50,200
Speaker 1: because they haven't really had something of that magnitude go

807
00:41:50,360 --> 00:41:53,239
Speaker 1: tonight they even make with the studio even make its

808
00:41:53,280 --> 00:41:55,960
Speaker 1: money back. I mean, I get you'd have new people subscribing,

809
00:41:56,160 --> 00:41:58,520
Speaker 1: but would you really have new people subscribing or would

810
00:41:58,520 --> 00:42:00,080
Speaker 1: you just have people signing up for the seven a

811
00:42:00,080 --> 00:42:03,120
Speaker 1: free trial Netflix with her seventeenth Emale account. Netflix has

812
00:42:03,200 --> 00:42:07,160
Speaker 1: taken away now the free trial. It has gone sad

813
00:42:07,840 --> 00:42:15,120
Speaker 1: saying that, so I they haven't had a major franchise

814
00:42:15,160 --> 00:42:18,200
Speaker 1: hop over like that, Like no movie has gone really

815
00:42:18,200 --> 00:42:21,799
Speaker 1: into that territory of being set for a big theatrical

816
00:42:21,880 --> 00:42:24,239
Speaker 1: release to this scale. It's happened in other cases to

817
00:42:24,239 --> 00:42:25,799
Speaker 1: where it's like, Okay, we're going to come on theaters,

818
00:42:25,800 --> 00:42:27,360
Speaker 1: We'll just put it on Netflix. But a movie this

819
00:42:27,480 --> 00:42:30,000
Speaker 1: big to do that, I think would be a game

820
00:42:30,080 --> 00:42:33,799
Speaker 1: changer for them. I don't think. I think at this

821
00:42:33,880 --> 00:42:36,200
Speaker 1: point it's kind of like do you want to wait

822
00:42:36,440 --> 00:42:40,279
Speaker 1: and hold onto these movies for so long? And I

823
00:42:40,280 --> 00:42:41,960
Speaker 1: don't know if it came out on Netflix, I would

824
00:42:41,960 --> 00:42:44,720
Speaker 1: watch it right now. But anyway, Yeah, that was the rumor.

825
00:42:45,080 --> 00:42:46,799
Speaker 1: And then the other news story I wanted to talk

826
00:42:46,840 --> 00:42:49,680
Speaker 1: about was last week I reviewed the new Boar Rat movie,

827
00:42:50,040 --> 00:42:52,840
Speaker 1: and in that movie, there was a babysitter who I

828
00:42:53,080 --> 00:42:55,680
Speaker 1: actually thought she was a hired actor in that movie.

829
00:42:55,760 --> 00:42:58,839
Speaker 1: It turns out that they told her she was part

830
00:42:58,880 --> 00:43:01,799
Speaker 1: of a different document Nury, and they ended up paying

831
00:43:01,800 --> 00:43:04,560
Speaker 1: her about a little under four thousand dollars to be

832
00:43:04,640 --> 00:43:06,200
Speaker 1: in that movie. But she thought she was just filming

833
00:43:06,239 --> 00:43:11,000
Speaker 1: a documentary. Found out when Borat came out what it was,

834
00:43:11,719 --> 00:43:15,200
Speaker 1: and she was actually like invested of, like, Okay, this

835
00:43:15,280 --> 00:43:18,240
Speaker 1: is actually happening, because she was taking care of Borat's

836
00:43:18,320 --> 00:43:20,200
Speaker 1: daughter in the movie and she thought that was like

837
00:43:20,280 --> 00:43:23,560
Speaker 1: just the documentary. So it came out how much they

838
00:43:23,560 --> 00:43:25,919
Speaker 1: actually paid her. She felt betrayed by the whole thing,

839
00:43:26,040 --> 00:43:28,279
Speaker 1: and now a go fund Me was created and it

840
00:43:28,480 --> 00:43:31,880
Speaker 1: raised over seventy five thousand dollars for her, which is insane.

841
00:43:32,400 --> 00:43:34,759
Speaker 1: But even more insane of that is I didn't know

842
00:43:34,800 --> 00:43:37,920
Speaker 1: that she was told that she was filming a different documentary.

843
00:43:37,960 --> 00:43:40,680
Speaker 1: I know they set up kind of other scenarios for

844
00:43:40,719 --> 00:43:42,520
Speaker 1: the other people in this movie to get these kind

845
00:43:42,560 --> 00:43:45,040
Speaker 1: of reactions out of them, but to know that she

846
00:43:45,360 --> 00:43:47,880
Speaker 1: had no idea she was in a borat movie until

847
00:43:47,880 --> 00:43:51,239
Speaker 1: I came out pretty insane, but also just kind of

848
00:43:51,320 --> 00:43:53,879
Speaker 1: nice to see that people kind of came to her

849
00:43:53,960 --> 00:43:56,160
Speaker 1: aid and donated all this money to help her out.

850
00:43:56,360 --> 00:43:58,799
Speaker 1: So that was cool. All Right, that's gonna do it

851
00:43:58,800 --> 00:44:00,440
Speaker 1: for movie News and for this step. So I do

852
00:44:00,520 --> 00:44:02,640
Speaker 1: want to give a shout out, and this week I'm

853
00:44:02,719 --> 00:44:07,000
Speaker 1: just doing it collectively to the b Team Facebook group.

854
00:44:07,280 --> 00:44:09,880
Speaker 1: If you don't know this Facebook group, it was created

855
00:44:10,360 --> 00:44:12,160
Speaker 1: as a bunch of fans and listeners of the Bobby

856
00:44:12,160 --> 00:44:15,160
Speaker 1: Bones show, which I worked for, and it's just become

857
00:44:15,200 --> 00:44:18,080
Speaker 1: this really great community of people coming together and posting

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00:44:18,080 --> 00:44:21,279
Speaker 1: about the show. And I also saw a post on

859
00:44:21,320 --> 00:44:23,880
Speaker 1: there of them talking about the last Halloween episode, and

860
00:44:23,920 --> 00:44:26,640
Speaker 1: so I was like, hey, people are just posting about

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00:44:26,760 --> 00:44:28,640
Speaker 1: the podcast over there. So I just wanted to shout

862
00:44:28,640 --> 00:44:31,640
Speaker 1: out everybody who's seeing that post and gone to check

863
00:44:31,680 --> 00:44:33,480
Speaker 1: out this podcast. That means a lot to me. So

864
00:44:33,560 --> 00:44:37,200
Speaker 1: just shout out to everybody on the B team Facebook group.

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Speaker 1: In addition to that, there was another post about them

866
00:44:40,520 --> 00:44:43,640
Speaker 1: wanting to get me to fifty followers. They did that

867
00:44:43,719 --> 00:44:47,239
Speaker 1: earlier last week and I hit it, which was incredible

868
00:44:47,360 --> 00:44:50,319
Speaker 1: that you guys listening to this, We're like, hey, let's

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00:44:50,320 --> 00:44:54,239
Speaker 1: get on some Instagram followers over that. So thank you

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00:44:54,239 --> 00:44:56,600
Speaker 1: guys for listening to the podcast. Thanks for following me

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00:44:56,640 --> 00:45:00,440
Speaker 1: on Instagram. And if you guys want it really mean

872
00:45:00,480 --> 00:45:02,080
Speaker 1: a lot to me if you go leave a five

873
00:45:02,120 --> 00:45:06,360
Speaker 1: star rating and write a review on Apple Podcasts, because

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00:45:06,400 --> 00:45:08,640
Speaker 1: that also helps the podcast here just kind of build

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00:45:08,640 --> 00:45:11,080
Speaker 1: and grow and kind of build up in what they

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00:45:11,120 --> 00:45:14,359
Speaker 1: call the algorithm that happens over there, So that would

877
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Speaker 1: mean a lot. I did make the mistake of going

878
00:45:16,920 --> 00:45:20,040
Speaker 1: and reading through some of my one star reviews. I

879
00:45:20,040 --> 00:45:21,680
Speaker 1: don't know why I did that, why I put myself

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00:45:21,719 --> 00:45:24,120
Speaker 1: through that. Don't do that. I just wanted to see

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00:45:24,160 --> 00:45:27,360
Speaker 1: what people were saying one star reviews are never constructive criticism.

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00:45:27,400 --> 00:45:30,000
Speaker 1: Maybe a three star reviews one star is just like

883
00:45:30,040 --> 00:45:32,960
Speaker 1: they're just looking to be mean. They were a little mean.

884
00:45:33,360 --> 00:45:35,040
Speaker 1: But the sad part is in one of them, I

885
00:45:35,080 --> 00:45:37,799
Speaker 1: found a little bit of truth and I think that

886
00:45:37,840 --> 00:45:40,520
Speaker 1: would hurt me a little bit. I took some of

887
00:45:40,560 --> 00:45:43,400
Speaker 1: it and change a little of what I did on

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Speaker 1: this episode. But there was another one that kind of

889
00:45:46,080 --> 00:45:49,759
Speaker 1: attacked just me as something that I do normally and

890
00:45:49,800 --> 00:45:51,680
Speaker 1: how I talk, and I was like, dude, I can't

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00:45:51,760 --> 00:45:53,799
Speaker 1: change that, Like that is how I That's how I talk,

892
00:45:53,880 --> 00:45:56,080
Speaker 1: and that's how I react to things. Let me know,

893
00:45:56,080 --> 00:45:58,480
Speaker 1: hoo is, let me at him. It's basically when I

894
00:45:58,520 --> 00:46:00,360
Speaker 1: do this podcast and do what I just didn't now

895
00:46:01,000 --> 00:46:03,400
Speaker 1: is I laugh. I think I'm at at you for laughing.

896
00:46:03,440 --> 00:46:05,560
Speaker 1: They're like, why do you laugh? In between thoughts like

897
00:46:05,840 --> 00:46:08,879
Speaker 1: I have to be passionate about what I'm talking about,

898
00:46:08,880 --> 00:46:11,319
Speaker 1: and when I talk about things sometimes i'll laugh well.

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00:46:11,320 --> 00:46:13,440
Speaker 1: And also it's harder like if you don't have a

900
00:46:13,440 --> 00:46:15,319
Speaker 1: guest and you're just having a conversation with yourself, Like

901
00:46:15,320 --> 00:46:17,399
Speaker 1: I feelould be weird if you just like had no

902
00:46:18,000 --> 00:46:20,600
Speaker 1: reactions or emotions I guess they don't want me to

903
00:46:21,200 --> 00:46:24,359
Speaker 1: react to things or have any kind of feeling towards things,

904
00:46:24,400 --> 00:46:26,200
Speaker 1: so they got upset when I laughed. What are They

905
00:46:26,200 --> 00:46:30,040
Speaker 1: probably sell pubbies they probably know, but I do read

906
00:46:30,040 --> 00:46:33,239
Speaker 1: those reviews. Um, so it would be nice people. This

907
00:46:33,320 --> 00:46:35,520
Speaker 1: year is already hard enough. Let's be nice. So five

908
00:46:35,560 --> 00:46:38,200
Speaker 1: stars if you wouldn't mine, and a little rating over there,

909
00:46:38,600 --> 00:46:41,759
Speaker 1: and anyway, thank you guys for listening, Thanks for subscribing.

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Speaker 1: I'll talk to you guys next Monday here on the podcast.

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00:46:45,560 --> 00:46:48,000
Speaker 1: Thank you for being my co host this week. They're welcome.

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Speaker 1: I'll be nuts first, and I will talk to you

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Speaker 1: guys next week. Until then later