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Speaker 1: On the Dog Cast, the questions asked if movies have

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Speaker 1: women in them, are all their discussions just boyfriends and husbands,

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Speaker 1: or do they have individualism the patriarchy? Zef in best

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Speaker 1: start changing it with the Bell Cast. Hi, and welcome

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Speaker 1: to the backdel Cast. I'm Caitlin, I'm Jamie, and we're

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Speaker 1: here to talk about movies and how they portray women.

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Speaker 1: That was great. Yeah, that was like the most distinct

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Speaker 1: I've ever done it. I know. I used to take

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Speaker 1: us five minutes. Man, we are growing. How's your day?

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Speaker 1: My day has been okay. Oh. So I went out

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Speaker 1: for a jog. I jogg and I saw I ran

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Speaker 1: past a guy who was chugging a box of Frenzya

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Speaker 1: on the sidewalk, and I was like, that's unusual. And

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Speaker 1: then I ran between him in a car and there

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Speaker 1: was someone in the car filming him. So I was like,

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Speaker 1: that makes more sense. He's doing it for like a bit,

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Speaker 1: someone's filming him. I get it. But like first split second,

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Speaker 1: I was like, why is this guy just chugging a

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Speaker 1: box of Franzia on the sidewalk? It was real, like

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Speaker 1: a real Franzia. I think it would be more work yeah,

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Speaker 1: I mean, you'd have to empty out the bag, fill

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Speaker 1: it with water. Why do that? Why not just chug Franah.

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Speaker 1: I burned myself out on that, and I did that

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Speaker 1: a couple of times in college, and now I disassociate

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Speaker 1: it with the smell of the basement apartment I used

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Speaker 1: to live in. Can't do it anymore. Yeah, not that

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Speaker 1: it's great wine to begin with. No, my day was bad.

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Speaker 1: I'm sorry to hear that. That's okay, let's start that episode. Okay,

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Speaker 1: let's do that. We are here with a wonderful guest.

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Speaker 1: She is a comedian. She is a cellist. True story.

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Speaker 1: She also has a show here at nerd Melt in

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Speaker 1: Los Angeles, California. Nina Daniels, thank you for having me, guys,

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Speaker 1: thanks for being here. You're welcome. And that's the end

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Speaker 1: of the episode. But we did it. We uh. We're

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Speaker 1: talking about a movie called Hidden Figures. Talk to us

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Speaker 1: about when did you see this movie? I mean it

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Speaker 1: came out, you know, not long ago, a few months ago. Actually, No,

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Speaker 1: I saw it through SAG Awards in my living room

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Speaker 1: on my laptop. How fancy. Yeah, because when you're in

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Speaker 1: SAG they give you screeners. Nice so that was one

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Speaker 1: of the screeners that I am watched and completely fell

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Speaker 1: in love with. This movie so good. Yeah, I saw

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Speaker 1: it in the theater by myself. I wish I had

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Speaker 1: seen it in the theater. Yeah, it was great. I

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Speaker 1: so I go to the movies by myself often and

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Speaker 1: who knows why. Well, I'll talk to about with my therapist. No,

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Speaker 1: it's very it's very therapeutic for me to go to

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Speaker 1: the movies by myself. Um. But here's the thing. I

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Speaker 1: don't let myself get emotional in public like I And

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Speaker 1: it's another thing I need to talk to my therapy.

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Speaker 1: It's about do I even have a therapist? Now, I

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Speaker 1: don't should make an appointment, but I have a really

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Speaker 1: hard time, like I can't let people see me cry.

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Speaker 1: And this movie made me so emotional. I was like

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Speaker 1: on the verge of tears the entire time because I'm

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Speaker 1: just like, oh, these women are being mistreated and all

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Speaker 1: this injustice. They're uplifting each other and and I was

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Speaker 1: like just nearly crying the entire time. And I was like,

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Speaker 1: I can't but I can't let anyone see me cry.

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Speaker 1: I couldn't be you Literally a commercial makes me cry. Oh, yeah,

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Speaker 1: I'll be like, because I love you like this sweet

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Speaker 1: I cry. Oh, everybody laughs at me a movie because

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Speaker 1: they just they see something and everybody just looks at

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Speaker 1: me to see if tears are coming down. Yeah no,

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Speaker 1: I'm I'm very I repress my emotions and it's not healthy,

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Speaker 1: but I don't. But that's good. Yeah, I should repress

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Speaker 1: my maybe a little bit more. It interferes with your life. Really,

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Speaker 1: it's well, I mean sometimes it's like, man, I gotta

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Speaker 1: take a I gotta take a walk. Sometimes I was

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Speaker 1: just to like walk off my emotions and then returned

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Speaker 1: to I don't know. Today my therapist was like, I

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Speaker 1: think you should spend the weekend inside and where bata

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Speaker 1: block or sunglasses? Anyways, let's talk about the movie. See.

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Speaker 1: I saw that the other first time. I really loved it.

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Speaker 1: I thought it was great. Jimmy, when did you see it?

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Speaker 1: I saw it last week and I really really liked it.

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Speaker 1: It was one of the movies that I wanted to

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Speaker 1: see over the holidays, and uh, I wasn't able to

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Speaker 1: because my mom wanted to see the Jackie Oh movie,

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Speaker 1: which was so great. I passed on that good call.

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Speaker 1: It was not It was a stinker, but still still

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Speaker 1: still feel ill from me right, It's just it was.

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Speaker 1: It was a drag. But that's the Kennedy assassination for you.

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Speaker 1: And this this movie made me feel so good and

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Speaker 1: like was the sort of movie that I felt good

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Speaker 1: about days after watching it, not as good as it

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Speaker 1: made me feel. Oh yeah, talk about that. I mean, well,

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Speaker 1: first of all, I did want to see it in

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Speaker 1: the movie theater, but I was so excited about it

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Speaker 1: that I couldn't even wait because I had to screener.

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Speaker 1: I'm like, I have to see this like right now

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Speaker 1: for many reasons. One which a lot of people probably

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Speaker 1: wouldn't know, but all three women are or were UM

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Speaker 1: some of the past members of the same sorority that

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Speaker 1: I met. The office ality incorporated all three, so that

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Speaker 1: was like really enlightening. It was like, oh my goodness,

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Speaker 1: because quick at three lesson. But you know, in a

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Speaker 1: African American sorority, we don't just pledge or participate in undergrad.

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Speaker 1: It's like that movie The Firm. Once you get in

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Speaker 1: you can't get out, like literally you're and you become

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Speaker 1: more active once you get to UM, once you graduate.

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Speaker 1: Enjoy was called grad chapter yeah or you're inactive like

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Speaker 1: me and should be doing in grad chapter just pay

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Speaker 1: your due and you're just like a general member. But yeah,

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Speaker 1: so it was like I was really proud, really proud

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Speaker 1: sister of Alpha Cappa Alpha watching them, like of course

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Speaker 1: they were all sorears. It made me very proud. That's awesome.

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Speaker 1: A little cocky now, you know. That made me excited

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Speaker 1: and also made me excited, as you know, an African

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Speaker 1: American woman to see three brilliant women and I thought

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Speaker 1: and directed to such a great job of showing their

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Speaker 1: brilliance and also showing what they had to deal with,

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Speaker 1: but not like dumbing them down or not making it

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Speaker 1: some SAPPI like woe is Me stories a lot of times,

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Speaker 1: you know, some of these movies are like oh, the

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Speaker 1: whole black person hand to struggle through. It was like

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Speaker 1: this women were so confident and so like in the

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Speaker 1: car the car scene when the car broke down and

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Speaker 1: they were like, well you could walk or sit in

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Speaker 1: the back of the bus and they were like, no,

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Speaker 1: I don't think so. I was like, that's me right there,

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Speaker 1: I don't think. So that was like a prime also

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Speaker 1: to show the pride and the almost part of the

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Speaker 1: arrogance of like, now we're not doing that, and during

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Speaker 1: that ninety one nineteen sixty one that was very impressed.

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Speaker 1: That scene ends with them fixing the car and then

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Speaker 1: the or the cop pulls up and you're like, fuck

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Speaker 1: this fucking cop. What's he gonna do in advance? And

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Speaker 1: then um, right, yeah, but then they talked to him.

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Speaker 1: They have to convince him that they're like, yes, we

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Speaker 1: work at NASA, we do important things like we're not

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Speaker 1: and he's just like, I didn't know there were women. Yeah, yeah,

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Speaker 1: you knew That's not what he was gonna say. Was brilliant. Um.

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Speaker 1: But then he offers to escort them the rest of

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Speaker 1: the way, and that I wrote down what um what

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Speaker 1: Mary says, yeah, because she's like three negro women are

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Speaker 1: chasing the white police officer are down in highway in Hampton, Virginia,

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Speaker 1: nineteen sixty one, that these this is a god or

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Speaker 1: dama a miracles. That I wrote that down as well, Kaitlin,

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Speaker 1: do you want to do the recap? The recap? Oh Man.

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Speaker 1: The story is about three black women, Katherine Gobel who

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Speaker 1: becomes Katherine Johnson, Dorothy Vaughan and Mary Jackson. Stories based

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Speaker 1: on real life events. These were real women. They were

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Speaker 1: all employed by NASA. This is a movie set in

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Speaker 1: ne where in the middle of the space race with

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Speaker 1: the Russians. You know, the US is trying to pull ahead.

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Speaker 1: The Russians get a man in space first. Everyone's freaking out.

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Speaker 1: Katherine Gobel did a lot of the analytic geometry to

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Speaker 1: calculate the trajectories and the landing and takeoff for the rockets. Meanwhile,

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Speaker 1: Mary Jackson is she wants to be an engineer, but

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Speaker 1: she can't because she doesn't have quite the right qualifications,

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Speaker 1: or she has the qualifications, but they're like finding ways

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Speaker 1: to suppress her ability to actually be an engineer because

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Speaker 1: he's a woman. So she has to like petition and

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Speaker 1: get a court age and all the stuff and so

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Speaker 1: that she can take classes to get the qualifications. Long

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Speaker 1: story short, she finally gets there. Yeah, she becomes an engineer. UM,

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Speaker 1: but she's working in like this engineering department. UM. They're

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Speaker 1: trying to figure out how to make it so that

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Speaker 1: the space craft that they're trying to launch into space

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Speaker 1: is ready for the astronauts to actually be there, and

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Speaker 1: that it's safe so they don't all die in space.

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Speaker 1: And then the third main character, Dorothy Vonne. She's essentially

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Speaker 1: a supervisor, but they won't give her the title or

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Speaker 1: the pay. And she's supervising a group of like twenty

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Speaker 1: other black women who are all computers and and doing

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Speaker 1: other you know, important math and analytics and stuff like

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Speaker 1: that for NASA. UM. And it's basically just it takes

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Speaker 1: place over of course of a few months, and they're

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Speaker 1: all just trying to do the work that needs to

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Speaker 1: be done to get people in space. The end. I

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Speaker 1: think it's pull to point out that, you know, they

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Speaker 1: were called computers because there were there were no computers

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Speaker 1: yet IBM. They were just waiting to get their IBM. Yeah.

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Speaker 1: Other characters who are important, um, Katherine's boss played by

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Speaker 1: Kevin Costner. This is the first time I have not

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Speaker 1: hated him in a movie. So yeah, like Kevin Klein,

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Speaker 1: Yeah kind of clin has always been great. Yeah please Ken,

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Speaker 1: So he's her boss. Then there's Jim Parsons. I forget

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Speaker 1: his characters. Love his characters is Paul Paul Staff And

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Speaker 1: I think, yeah, I love Jim Parsons. He looks a

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Speaker 1: little alien all the time. This a little alien looking guy.

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Speaker 1: His character though, so despicable. Yes, he was so good

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Speaker 1: at this movie. Yeah, he's alien. Kristen Dunnes plays a

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Speaker 1: woman I don't entirely know what her job, Mrs Mrs Mitchell.

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Speaker 1: She's a coordinator Achill. So it's the castle, same characters. Yeah, alright.

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Speaker 1: The first thing I want to say about this movie

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Speaker 1: is it it caused attention to the fact that, like

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Speaker 1: one of the most significant historic and scientific feats of

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Speaker 1: the twentieth century, and also, like I don't know all

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Speaker 1: of history, which was putting a man into space, was

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Speaker 1: made possible by a group of black women who you've

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Speaker 1: probably never heard about until now, because I didn't learn

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Speaker 1: this stuff in history class. And that's why. I mean,

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Speaker 1: obviously the title of the movie suggests that these are

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Speaker 1: hidden figures because we don't, like they don't teach us this,

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Speaker 1: but I didn't learn about this. I didn't. I think

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Speaker 1: that it kind of like that extends to the movie

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Speaker 1: universe too, because I think about how many fucking space

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Speaker 1: movies there are, and every time you catch at the

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Speaker 1: control room, there's a white guy in there, there's you know,

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Speaker 1: like there's barely any women at all, not to mention

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Speaker 1: a person of color, and so it's like I don't know.

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Speaker 1: I was thinking a lot about that during the movie too,

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Speaker 1: just like you know, like Armageddon and Paul eleven and

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Speaker 1: one of the characters I thirst and start to man

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Speaker 1: um but who Katherine is later involved with, and like

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Speaker 1: you would never see that reflected. I knew about Katherine Johnson. Yeah,

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Speaker 1: And as a matter of fact, I had had actually forgotten.

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Speaker 1: My dad was like, you wrote a paper on her.

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Speaker 1: I was like, oh good, you know, but I was

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Speaker 1: really young. But I definitely think seeing the movie definitely

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Speaker 1: gave me brought awareness to a very different way. I mean,

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Speaker 1: my parents were great because we learned about a lot

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Speaker 1: of um African American people who were outstanding and amazing

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Speaker 1: and change history. That we're not just Martluther King. I

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Speaker 1: love him, but you know, or I would say Benjamin

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Speaker 1: Bannon early and if anybody knows who he like, um,

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Speaker 1: Paul Robeson, and I mean there's a lot of people

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Speaker 1: that when I was a kid, my parents we would

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Speaker 1: get a list of names to write a paper. And

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Speaker 1: I did not go to school with the many other

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Speaker 1: African Americans, especially teachers, so it be like me in

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Speaker 1: the class and it would be only historical figures, but

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Speaker 1: none of them would be black, and my parents would

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Speaker 1: be like, they cross it out. Maybe you're doing a

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Speaker 1: paper on this person. I would bring it back to them,

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Speaker 1: this is what I'm doing it on, and the teacher.

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Speaker 1: You could tell the teacher, look like, I did not

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Speaker 1: assign that to you. But I'm definitely not going to

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Speaker 1: challenge you on this because good luck challenging my mother.

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Speaker 1: Good luck with that. You would lose that battle of hardcore. Yeah,

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Speaker 1: I mean, I grew up in rural western Pennsylvania. I

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Speaker 1: grew up in rural Long Island. Yeah. Man, that's the thing,

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Speaker 1: like I like, I mean, I didn't have parents to

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Speaker 1: be like, you're gonna do this paper on an American

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Speaker 1: person and stead like I don't think we talked about

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Speaker 1: in history class, like any notable figures in history who

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Speaker 1: were black except maybe, uh, I mean, and not many

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Speaker 1: women there. I mean, like I knew about Betsy Ross

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Speaker 1: because she made a flag or something, but like, other

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Speaker 1: than that, it was just a bunch of white dudes.

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Speaker 1: My favorite woman growing up was um Surely Chisholm. She

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Speaker 1: went for president first black women, like she's part of

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Speaker 1: the women's suffers movement, Like she's no joke. Man, she

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Speaker 1: was like I remember being a kid and be like

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Speaker 1: I want to be like her. She was. So that's

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Speaker 1: what I mean, Like we were lucky. We were very fortunate.

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Speaker 1: We're exposed to so many people. Yeah, it was really

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Speaker 1: interesting to um see. And I mean, I think what

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Speaker 1: I love most about Hidden Figures as well is that

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Speaker 1: it also showed the softness of African American women, meaning

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Speaker 1: like they weren't like and and and I say, it's

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Speaker 1: like I love being strong and and in the the

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Speaker 1: portrayal of strong African and Black women. But like, these

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Speaker 1: women were known for their brains and they didn't have

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Speaker 1: to put anything on it. They were just being who

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Speaker 1: they are and that's what made them up as their intelligence.

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Speaker 1: And I felt like they led by their intelligence, and

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Speaker 1: that to me was like that, you're refreshing thing to see. Yeah,

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Speaker 1: I love that. I loved that. One of the other

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Speaker 1: thing the main things this movie does is that it

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Speaker 1: just shows how many hurdles these women had to jump

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Speaker 1: over in like every part of their job and outside

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Speaker 1: of their job, just to like prove that they're capable

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Speaker 1: and like, yeah, we are, we can do this, and

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Speaker 1: then exactly and everyone's just like I don't know about that,

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Speaker 1: but it's also proved yourself. It's also a testament to

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Speaker 1: when someone says cream always rises to the top. Literally

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Speaker 1: they needed them because no one could do it. Yeah,

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Speaker 1: like no one else could do it, you know. So

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Speaker 1: it's almost like if you can make yourself so useful

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Speaker 1: that nobody else could do it. And it was interesting,

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Speaker 1: like also to about the engineering with Mary and that

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Speaker 1: character even you know, saying, you know, I'm Jewish and

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Speaker 1: I came here from but the thing is like you're

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Speaker 1: still a man, you know, and you're still a white

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Speaker 1: man in America. Like, so it was really interesting this

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Speaker 1: see him have that because her obscle wasn't just being

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Speaker 1: a woman where she needed to take the courses they

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Speaker 1: didn't allow African Americans, so that was really I mean

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Speaker 1: being a woman was part of it, but second layer

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Speaker 1: of it is it didn't allow a woman of color.

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Speaker 1: Yeah what people of color? For that intersectionality. She had

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Speaker 1: to go to court to take a class like I

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Speaker 1: think it was like a high school. She had to

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Speaker 1: go take it at a night class, which was which

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Speaker 1: was like wow, Yeah, there's so many steps she had

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Speaker 1: to go through just to be able to get the

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Speaker 1: credentials she needed to do the job that she was

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Speaker 1: already qualified to do. My mom would have totally done

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Speaker 1: that for real. My mom would have been excuse me,

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Speaker 1: here we go. Uh. And and it was it was

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Speaker 1: nice to see I mean, it wasn't like a main

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Speaker 1: focal point, but it was nice to see their their

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Speaker 1: home lives as well, um and that the other roles,

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Speaker 1: because I feel like it would have been easy to

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Speaker 1: just keep this in the workplace, and it would have

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Speaker 1: still been powerful if it was just in the workplace.

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Speaker 1: But it was nice to see um, not just the

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Speaker 1: professional hurles, but it um trying to maintain a life

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Speaker 1: for their kids and all this stuff because they still

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Speaker 1: love all the pressures associated with mother right. Yeah, all

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Speaker 1: three of those women had young children, and um, Catherine

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Speaker 1: was a single mother at like she started out that way.

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Speaker 1: She ends up marrying Jim Johnson. But I love that relationship. Yeah,

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Speaker 1: I love like you know, they showed such a respectful

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Speaker 1: like black love, which I loved. I was like, oh,

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Speaker 1: this is so sweet. When he apologized to her for

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Speaker 1: doubting her when they first met, I was like, all right, yeah, yeah,

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Speaker 1: because what is the first thing he said? Because he's like, oh,

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Speaker 1: I understand you work at NASA, and she's like, yeah,

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Speaker 1: we do all the you know, the calculations, and he's

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Speaker 1: just like, oh, they let women. And then he stops talking.

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Speaker 1: He's like, oh, man, I funked up real bad. She's like,

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Speaker 1: I'm gonna walk away and you should shut up. And

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Speaker 1: then the next time he's like, I owe you an apology.

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Speaker 1: She's like, yeah, I'm waiting for it. It also showed

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Speaker 1: the complications in Mary's marriage right, which I loved as well,

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Speaker 1: the juxtaposition of that relationship versus that and also married

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Speaker 1: not like she didn't play down and come down for

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Speaker 1: her husband even though he had all the use like

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Speaker 1: issuesn't concerned and she was just like, yeah, no, I'm

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Speaker 1: I'm gangster. I'm doing it like you shouldn't believe you

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Speaker 1: should not you know, which is I'm such an optimist.

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Speaker 1: It's so hard for me to like, look at the

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Speaker 1: glasses never half compt to me. It's always have full.

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Speaker 1: So I was like, go, Mary, you can do this. Well. Yeah.

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Speaker 1: Just like just seeing these three main characters who pretty

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Speaker 1: much at almost every point in the movie just refused

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Speaker 1: to be bulldozed by literally the entire world that's trying

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Speaker 1: to bud and and uh you know, like you're saying

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Speaker 1: it just like making themselves so like incredibly intelligent and

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Speaker 1: useful that you can't I didn't like they couldn't have

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Speaker 1: done it without them. Also, the intelligence wasn't um, it

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Speaker 1: wasn't forced. It was like quiet intelligent. That's what I love. Yeah,

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Speaker 1: just like came across very organganically, which is how we

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Speaker 1: they're doing the job. They're just I wanted to talk

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Speaker 1: a little bit more about that scene. It's one of

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Speaker 1: the opening scenes where they're broke down on the side

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Speaker 1: of the road and Dorothy is like fixing the car.

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Speaker 1: And I mentioned in an earlier episode of this podcast

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Speaker 1: where I'm like, I hate that trope or like to

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Speaker 1: show a woman to show that she's not just like

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Speaker 1: any other woman, she's good at fixing cars, and like

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Speaker 1: it's an annoying trope, but like that's what happened in

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Speaker 1: this movie, like they broke down. I believe that that

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Speaker 1: character knew how to fix and thens something like in Transformers,

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Speaker 1: like you see Megan Fox leaning over the hood of

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Speaker 1: a car basically like having sex with a car. Male

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Speaker 1: gaze all over the place, like lingering up and down. Yeah,

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Speaker 1: but like she was I thought I thought she was

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Speaker 1: literally I thought it was like I didn't even realize

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Speaker 1: that she was actually supposed to be fixing that Wait. Yeah,

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Speaker 1: I was like, what's she doing next to that car?

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Speaker 1: I was like, this is the part in the movie

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Speaker 1: when want some like the one to sell sex. Yeah, exactly,

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Speaker 1: And then in this movie like Dorothy's like splayed out

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Speaker 1: lying on the ground like under the car. Actually you

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Speaker 1: actually think, yeah, it wasn't sexy. It was just like, yeah,

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Speaker 1: she just is trying to figure out what the problem is,

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Speaker 1: and any context of the movie like that made total sense.

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Speaker 1: It didn't feel trophy at all. No, no, actually, and

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Speaker 1: you're saying it didn't. It didn't even any even think

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Speaker 1: about it until right now, you know, you're bringing up

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Speaker 1: It was just like a normal thing that happened. You're like, yep,

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Speaker 1: this checks out, Yeah, and that was that wasn't I

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Speaker 1: feel like the reason people usually do that trope is

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Speaker 1: because the like whatever whoever the female character is is

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Speaker 1: like portrayed as like so unrealistically that they're like, but wait,

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Speaker 1: she's grounded, and these women are portrayed realistically for the

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Speaker 1: duration of the movie so it's like cool, Yeah, they

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Speaker 1: can fix cars. There's so much cooler than me. Part

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Speaker 1: of what made me love this movie even more it

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Speaker 1: was there was a few um campaigns around the time

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Speaker 1: when it was actually in theaters, UM where a lot

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Speaker 1: of people were donating to send uh classes of kids

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Speaker 1: to go see this movie. And it's amazing that as

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Speaker 1: many classes as as did got to see it in

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Speaker 1: the theater. But just thinking about like years down the line,

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Speaker 1: this will be like watched in history classes and there's

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Speaker 1: not a lot of movies like it, and it's that

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Speaker 1: to me was like so exciting of like imagine being

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Speaker 1: whenever seven or eight years old and and seeing this movie.

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Speaker 1: It would be I think I think a couple of

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Speaker 1: the actors was like I think Tonti Pinson I think

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Speaker 1: also made Octavie I spent some like bought out theaters.

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Speaker 1: Oh yeah, I believe they brought out theaters so that

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Speaker 1: people and go in and see it. Oh man, that's yeah.

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Speaker 1: So like this movie, I don't know, there's not a

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Speaker 1: lot of movies you see where you're like, oh, this

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Speaker 1: is going to have a serious legacy and impact far

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Speaker 1: beyond the time it's actually in theaters. Um, and they're

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Speaker 1: like the UM. I felt like the accurate portrayal of

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Speaker 1: Paul and Katherine and Paul's Jim Parson's character. I like

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Speaker 1: the fact that he just stayed in his character the whole,

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Speaker 1: like to the end. He was not going to give

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Speaker 1: up being an asshole at all. And I loved it.

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Speaker 1: I'm like, was it like a romantic ending with that dude? Yeah,

400
00:22:22,359 --> 00:22:25,280
Speaker 1: it was like, great, that's great. You're racist and you

401
00:22:25,359 --> 00:22:29,520
Speaker 1: hate women and you're gonna stay that way, right because

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Speaker 1: in n that would have been what happened. But also

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Speaker 1: so you know what, you know what's so funny This

404
00:22:38,040 --> 00:22:40,320
Speaker 1: movie was a great example of nobody wanting to be

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Speaker 1: at the bottom. And what I mean by that is like,

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Speaker 1: so the men treated the women bad like Mrs Mitchell

407
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Speaker 1: and she treated the black women bad because somebody had

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Speaker 1: to just like trickled down, like they're gonna treat me poorly?

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Speaker 1: Do I want to treat like nobody wants to be

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Speaker 1: the bottom? And she was another one who was just terrible.

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Speaker 1: And even when she I guess did a good thing,

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Speaker 1: it wasn't even good. She was she was just like yeah, no,

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Speaker 1: she like there's that scene where she's in the bathroom

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Speaker 1: and change her idea about at all. Yeah, there's that

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Speaker 1: scene and she's like in the restroom with um Dorothy,

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Speaker 1: and after they had like desegregated the bathroom, um, when

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Speaker 1: Mrs Mitchell's like, you know, just by the way, you

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Speaker 1: think I don't have anything against you, and she's like, yeah,

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Speaker 1: I'm sure you believe that that's what you think. And

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Speaker 1: it's so funny because when when the real Catherine said

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Speaker 1: that never happened, she was like, he don't know, I

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Speaker 1: went to the bathroom right there. They certainly had to

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Speaker 1: like amp up the drama to make it like a

424
00:23:40,359 --> 00:23:43,320
Speaker 1: cinematic experience. I'm sure, Like, I'm sure. Also, she doesn't

425
00:23:43,400 --> 00:23:45,600
Speaker 1: didn't need to be like called in at the last

426
00:23:45,720 --> 00:23:48,160
Speaker 1: moment because he's about to launch into space. And then

427
00:23:48,240 --> 00:23:50,960
Speaker 1: they didn't. She wasn't allowed in the room. Oh really, no,

428
00:23:51,400 --> 00:23:54,320
Speaker 1: she was not actually allowed in the room. That's upsetting. Yeah,

429
00:23:54,640 --> 00:23:56,600
Speaker 1: so that was also made up. Yeah, they got to

430
00:23:56,640 --> 00:23:59,240
Speaker 1: embellish stuff for she wasn't allowed in the room. But

431
00:23:59,359 --> 00:24:03,240
Speaker 1: she did the man, great good friend got the job done. Yeah,

432
00:24:03,400 --> 00:24:06,400
Speaker 1: Mrs Mitchell, I know she's not as bad as Paul,

433
00:24:06,440 --> 00:24:08,800
Speaker 1: but she kissed me off. She was she was a

434
00:24:08,840 --> 00:24:12,560
Speaker 1: woman makes it worse. Yeah, I mean, it's just every

435
00:24:12,600 --> 00:24:15,280
Speaker 1: scene she's in and maybe no, I mean, like I

436
00:24:15,560 --> 00:24:20,800
Speaker 1: guess Kris and Duns did a good job because whole yeah,

437
00:24:20,840 --> 00:24:22,800
Speaker 1: this whole movie. Every time she was on screen, I

438
00:24:22,920 --> 00:24:25,239
Speaker 1: was just like, like, what is she going to do now?

439
00:24:25,280 --> 00:24:28,919
Speaker 1: Because it's like it's where Jim Parson's character is outright,

440
00:24:29,520 --> 00:24:32,119
Speaker 1: like very straightforward, I don't respect you. I didn't like

441
00:24:33,240 --> 00:24:36,280
Speaker 1: just the way that Mrs Mitchell would get those underhanded

442
00:24:36,359 --> 00:24:41,320
Speaker 1: passive so great that they didn't make it like they

443
00:24:41,320 --> 00:24:43,520
Speaker 1: didn't do they didn't do what every other movie does,

444
00:24:43,920 --> 00:24:46,719
Speaker 1: make it this obvious racism, because it's not really how

445
00:24:46,800 --> 00:24:48,600
Speaker 1: a lot of racism is. A lot of it is

446
00:24:48,720 --> 00:24:52,560
Speaker 1: just how she played it. It's like so layered and

447
00:24:52,720 --> 00:24:57,000
Speaker 1: intertwined it was. I mean, it was her belief system,

448
00:24:57,840 --> 00:24:59,520
Speaker 1: you know what I mean, her belief system, and when

449
00:24:59,560 --> 00:25:01,400
Speaker 1: it's your leaf system, you don't really have to put

450
00:25:01,440 --> 00:25:05,040
Speaker 1: anything on it. And that was a very complicated I thought,

451
00:25:05,280 --> 00:25:07,840
Speaker 1: um role. I thought she did a really amazing job

452
00:25:07,920 --> 00:25:13,560
Speaker 1: with she had that character the other white woman too,

453
00:25:13,920 --> 00:25:17,400
Speaker 1: who is working in like the space task group, who

454
00:25:17,760 --> 00:25:20,200
Speaker 1: is like just as bad. She didn't get as much

455
00:25:20,359 --> 00:25:24,360
Speaker 1: a screen time. But she was so dismissive of Catherine.

456
00:25:24,480 --> 00:25:27,359
Speaker 1: She's like, she was but do you remember when he

457
00:25:27,440 --> 00:25:30,400
Speaker 1: said with a computer what happened? She said, Oh, she's

458
00:25:30,400 --> 00:25:36,600
Speaker 1: standing right behind you. Yea that yeah, that wasn't okay moment.

459
00:25:36,640 --> 00:25:38,399
Speaker 1: But then later on when Catherine has to go to

460
00:25:38,440 --> 00:25:40,920
Speaker 1: the restroom for the first time and she's excuse me,

461
00:25:41,200 --> 00:25:43,520
Speaker 1: where's the restroom and the woman goes, I have no

462
00:25:43,600 --> 00:25:45,480
Speaker 1: idea where your bathroom is, and then like returns to

463
00:25:45,560 --> 00:25:48,480
Speaker 1: her phone call, just like very dismissive. And I thought

464
00:25:48,560 --> 00:25:50,679
Speaker 1: it was so. But I also think it's a product

465
00:25:50,800 --> 00:25:53,080
Speaker 1: of do you think she was treated well there? Oh no,

466
00:25:53,359 --> 00:25:56,560
Speaker 1: absolutely so. I think it's also like, I think it's

467
00:25:56,560 --> 00:25:58,800
Speaker 1: also that thing of like you had the opportunity to

468
00:25:58,800 --> 00:26:01,400
Speaker 1: be somebody else's boss. I mean, I think a lot

469
00:26:01,480 --> 00:26:04,480
Speaker 1: of you know, women are feeling that, you know, and

470
00:26:04,680 --> 00:26:06,480
Speaker 1: she probably had a lot of people, you know. I

471
00:26:06,600 --> 00:26:09,119
Speaker 1: feel like it was more of a wrote thing for

472
00:26:09,200 --> 00:26:11,320
Speaker 1: her because how many black women actually ever walked in

473
00:26:11,359 --> 00:26:14,840
Speaker 1: the room. I'm gonna say none, well even let's say none.

474
00:26:15,600 --> 00:26:17,400
Speaker 1: Mrs Mitchell says that she's like, this is the first,

475
00:26:17,440 --> 00:26:19,920
Speaker 1: You're the first, because when Katherine walked into that room.

476
00:26:20,240 --> 00:26:23,240
Speaker 1: Everybody was he gave her the garbage can, right because

477
00:26:23,280 --> 00:26:26,000
Speaker 1: she thought that he thought she was a custodian. Yeah, yeah,

478
00:26:26,040 --> 00:26:28,960
Speaker 1: he gave her the garbage can. And then and you

479
00:26:29,000 --> 00:26:32,359
Speaker 1: could tell Jim Parson's character already minute his mind that

480
00:26:32,480 --> 00:26:35,640
Speaker 1: he was not going to respect her totally. And when

481
00:26:35,640 --> 00:26:38,320
Speaker 1: he told him, Kevin told him, oh, you gotta do

482
00:26:38,440 --> 00:26:42,560
Speaker 1: her do his math too. What a blow to that.

483
00:26:42,680 --> 00:26:45,960
Speaker 1: Maybe laughed so hard you could like see his dick

484
00:26:46,080 --> 00:26:50,920
Speaker 1: wilt receed into his body. It was, it was, it was,

485
00:26:52,280 --> 00:26:55,840
Speaker 1: it just fell out, like leaked out of his pants

486
00:26:55,840 --> 00:27:00,800
Speaker 1: like that was such a and that happens so many times,

487
00:27:01,160 --> 00:27:04,679
Speaker 1: and he's like he sucks he does. Yeah. I wonder um,

488
00:27:05,440 --> 00:27:09,000
Speaker 1: because I feel like anytime there's a movie based on

489
00:27:09,080 --> 00:27:12,840
Speaker 1: true events, um, the family of whoever the villain has retaliates.

490
00:27:12,840 --> 00:27:15,119
Speaker 1: I wonder if there was any of that and this kid,

491
00:27:15,800 --> 00:27:18,399
Speaker 1: I don't know research on it, because people love to

492
00:27:18,480 --> 00:27:21,240
Speaker 1: get money by being like he wasn't that bad. It's

493
00:27:21,280 --> 00:27:25,240
Speaker 1: like he was. He was probably worse. And they said

494
00:27:25,280 --> 00:27:28,880
Speaker 1: it was worse. Actually they sent their treatment in this um.

495
00:27:29,440 --> 00:27:32,280
Speaker 1: They said the treatment was actually worse than what was betrayed. Well, yeah,

496
00:27:32,520 --> 00:27:35,000
Speaker 1: I feel like if they did it accurately, they probably

497
00:27:35,040 --> 00:27:38,240
Speaker 1: wouldn't get to keep the PG rating. Like I'm sure

498
00:27:38,359 --> 00:27:43,119
Speaker 1: like kids were thrown at them. I can imagine what happened.

499
00:27:45,280 --> 00:27:48,200
Speaker 1: One of the points I wanted to make is why

500
00:27:48,280 --> 00:27:51,640
Speaker 1: did it take until two thousand sixteen for this movie

501
00:27:51,680 --> 00:27:55,679
Speaker 1: to be made about these people from the sixties? I mean,

502
00:27:55,760 --> 00:27:59,080
Speaker 1: when when was the book published? The book was published

503
00:27:59,560 --> 00:28:04,119
Speaker 1: in two thousand and sixty. It was just clemed. But

504
00:28:04,160 --> 00:28:05,440
Speaker 1: I tried to read the book but it wasn't out

505
00:28:05,480 --> 00:28:08,280
Speaker 1: yet because I actually I was told that I was

506
00:28:08,280 --> 00:28:11,240
Speaker 1: going to have an audition for this movie. Really, yes,

507
00:28:11,359 --> 00:28:13,399
Speaker 1: I had a general at Fox and they told me

508
00:28:13,400 --> 00:28:17,240
Speaker 1: about this movie, oh and another like little nice inside tidbit.

509
00:28:18,200 --> 00:28:22,280
Speaker 1: I had just done Hotels dot com commercial that Ted

510
00:28:22,400 --> 00:28:25,920
Speaker 1: Melfy directed, who was a director of Hidden Figures. So

511
00:28:26,000 --> 00:28:29,440
Speaker 1: it was right after that they were like, oh, you're

512
00:28:29,480 --> 00:28:31,720
Speaker 1: gonna have a you know, general at Fox. And I

513
00:28:31,760 --> 00:28:33,480
Speaker 1: mean know, I saw it was cast. I was like,

514
00:28:33,840 --> 00:28:37,560
Speaker 1: I was at a joke, like you's know, like hello,

515
00:28:38,120 --> 00:28:40,360
Speaker 1: that cast was amazing. I'm like, yeah, that was cute.

516
00:28:40,400 --> 00:28:42,120
Speaker 1: But I was trying to get my hand on the

517
00:28:42,160 --> 00:28:44,400
Speaker 1: book and trying to get as much information as I

518
00:28:44,440 --> 00:28:48,000
Speaker 1: could on the project so that I could I really

519
00:28:48,120 --> 00:28:50,760
Speaker 1: wanted to audition for it, but I never did. Well,

520
00:28:50,800 --> 00:28:53,840
Speaker 1: that's another thing we could talk about, is that another

521
00:28:53,960 --> 00:28:58,600
Speaker 1: movie directed they're written by a white guy. Yeah, and

522
00:28:58,920 --> 00:29:01,880
Speaker 1: probably why did to take this long? So I didn't

523
00:29:02,120 --> 00:29:04,240
Speaker 1: didn't have to be in directed by a white guy.

524
00:29:04,800 --> 00:29:07,000
Speaker 1: That wasn't like that was a big thing. That was

525
00:29:07,040 --> 00:29:10,840
Speaker 1: the thing. You have this movie about these three African

526
00:29:10,880 --> 00:29:14,760
Speaker 1: American women and it didn't go to uh like Abra

527
00:29:14,840 --> 00:29:18,120
Speaker 1: du Renett or you know, I mean the up and

528
00:29:18,200 --> 00:29:22,600
Speaker 1: coming African American director, which is a very interesting story.

529
00:29:23,320 --> 00:29:26,160
Speaker 1: And for me, I was hugely conflicted because I had

530
00:29:26,920 --> 00:29:31,440
Speaker 1: I loved Ted Melfy from St. Vincent. Yeah, that was

531
00:29:31,520 --> 00:29:33,880
Speaker 1: a huge And I think the reason why I booked

532
00:29:33,920 --> 00:29:37,320
Speaker 1: that Hotel dot Com commercial was because in my callback

533
00:29:37,960 --> 00:29:39,880
Speaker 1: when I went in, I was like, what are you

534
00:29:39,960 --> 00:29:43,600
Speaker 1: doing here? Because I couldn't believe the director from St.

535
00:29:43,680 --> 00:29:46,840
Speaker 1: Vincent was the director of my commercial and I was

536
00:29:46,960 --> 00:29:49,920
Speaker 1: and I didn't have the wherewithal to be like see

537
00:29:50,000 --> 00:29:51,720
Speaker 1: him in this, you know, be like hmm, okay, I

538
00:29:51,800 --> 00:29:53,280
Speaker 1: think I know who that is and just be quiet.

539
00:29:53,480 --> 00:29:55,360
Speaker 1: I was like Oh my god, what are you doing here?

540
00:29:56,160 --> 00:29:59,760
Speaker 1: This is awesome, like literally didn't even care. And one

541
00:29:59,840 --> 00:30:03,560
Speaker 1: of it but again that one commercial pay for stag

542
00:30:03,640 --> 00:30:07,200
Speaker 1: for my health insurance, remember one commer. But he was

543
00:30:07,600 --> 00:30:10,080
Speaker 1: such a great guy, and I remember thinking, oh, but

544
00:30:10,200 --> 00:30:16,120
Speaker 1: he's like really, he's really good. Yeah, it's it's always

545
00:30:16,160 --> 00:30:18,440
Speaker 1: tree because he did I mean, he had his hand

546
00:30:18,480 --> 00:30:22,040
Speaker 1: in pretty much every part of the movies got the direction,

547
00:30:22,160 --> 00:30:24,560
Speaker 1: producing and writing credit. The first draft of the movie

548
00:30:24,800 --> 00:30:30,040
Speaker 1: was written by a woman and then and it was

549
00:30:30,440 --> 00:30:32,640
Speaker 1: a woman with a lot of experience with NASA to

550
00:30:32,960 --> 00:30:36,960
Speaker 1: who her name is Allison Schroeder. Yeah, yeah, or she

551
00:30:37,040 --> 00:30:38,880
Speaker 1: had like interned at NASA. I grew up near Cape

552
00:30:38,920 --> 00:30:42,320
Speaker 1: Canever the whole bit, um so you know, Ted Milfie

553
00:30:42,400 --> 00:30:46,080
Speaker 1: didn't write the whole thing. But it would have been

554
00:30:46,200 --> 00:30:49,200
Speaker 1: nice though it would. It would have been nice too.

555
00:30:50,720 --> 00:30:53,320
Speaker 1: I would have even like maybe Aba du Verney or

556
00:30:53,520 --> 00:31:00,600
Speaker 1: de Rees who did Bessie and um Pariah. I would

557
00:31:00,600 --> 00:31:03,320
Speaker 1: have loved to see one of them do it. Would

558
00:31:03,320 --> 00:31:05,160
Speaker 1: actually like d do It would have been great to

559
00:31:05,280 --> 00:31:07,880
Speaker 1: see her do it. Yeah, because I mean, and Ted

560
00:31:07,960 --> 00:31:10,680
Speaker 1: Melfy does a good job in the movie turned out amazing,

561
00:31:10,720 --> 00:31:14,920
Speaker 1: but it's like not history, it's not his story. But

562
00:31:14,960 --> 00:31:17,200
Speaker 1: I also wonder, you know, how would they have been

563
00:31:17,240 --> 00:31:19,480
Speaker 1: able to get that PG rating because d is hardcore.

564
00:31:20,080 --> 00:31:23,680
Speaker 1: Maybe maybe it depends. I mean she had to. I'm

565
00:31:23,680 --> 00:31:27,200
Speaker 1: sure she could. Yeah, And and the PG rating I

566
00:31:27,240 --> 00:31:29,840
Speaker 1: think is so important for how long this movie will

567
00:31:29,840 --> 00:31:32,200
Speaker 1: be remembered to, like if it just makes it more

568
00:31:32,240 --> 00:31:35,200
Speaker 1: accessible to too young like you said, like it can

569
00:31:35,240 --> 00:31:38,440
Speaker 1: be screened in schools now for like elementary kids. Yeah,

570
00:31:38,480 --> 00:31:40,400
Speaker 1: my mom already got a copy of the DVD. She

571
00:31:40,480 --> 00:31:45,040
Speaker 1: teaches second grade. How adorable are they sending it to schools.

572
00:31:45,560 --> 00:31:47,400
Speaker 1: I think she paid for it out of pocket. And

573
00:31:47,640 --> 00:31:50,720
Speaker 1: that's what teachers doing now. Yeah, even though our head

574
00:31:50,720 --> 00:31:53,120
Speaker 1: of education doesn't know that, but you know that they

575
00:31:53,120 --> 00:31:56,080
Speaker 1: paid their own pencils. But you know, yeah, their own God,

576
00:31:56,160 --> 00:31:57,960
Speaker 1: that's a whole other thing that I could like flip

577
00:31:58,040 --> 00:32:00,280
Speaker 1: a table over. But my my mom and her her

578
00:32:00,320 --> 00:32:03,160
Speaker 1: teacher friends, they all have like a a little group

579
00:32:03,240 --> 00:32:07,200
Speaker 1: and they take turns buying movies and stuff and help

580
00:32:07,240 --> 00:32:10,240
Speaker 1: each other out. But anyways, teachers are treating you know,

581
00:32:10,320 --> 00:32:13,400
Speaker 1: it's amazing too. It's amazing to be your mom teacher

582
00:32:13,480 --> 00:32:17,240
Speaker 1: second grade, right, I mean in second grade, you see

583
00:32:17,680 --> 00:32:24,360
Speaker 1: a movie about three African American mathematicians, Like not just

584
00:32:24,760 --> 00:32:27,720
Speaker 1: black kids, I mean all kids see this. It's like,

585
00:32:28,240 --> 00:32:30,120
Speaker 1: can me do you? I mean that's like there are

586
00:32:30,240 --> 00:32:32,920
Speaker 1: kids their first president was black. It's what they know.

587
00:32:33,960 --> 00:32:37,680
Speaker 1: That's wild. I mean, it's so it's so cool, Like

588
00:32:37,840 --> 00:32:40,800
Speaker 1: I don't know. That makes me feel good because this

589
00:32:40,920 --> 00:32:43,440
Speaker 1: movie can have like such a role in like normalizing

590
00:32:43,520 --> 00:32:46,360
Speaker 1: that two kids early on to the point where it

591
00:32:46,400 --> 00:32:50,200
Speaker 1: wouldn't seem unusual at all and totally. I mean in

592
00:32:50,360 --> 00:32:53,120
Speaker 1: my family, my family, especially my mom's side and mostly

593
00:32:53,280 --> 00:32:57,080
Speaker 1: um pH d s men and women. Um So I

594
00:32:57,160 --> 00:33:01,040
Speaker 1: was raised around extraordinary, extraordinary after Americans, So it was

595
00:33:01,040 --> 00:33:02,840
Speaker 1: always like weird to me that people didn't know that,

596
00:33:02,960 --> 00:33:06,080
Speaker 1: Like that's like everybody I was raised around. What are

597
00:33:06,120 --> 00:33:08,560
Speaker 1: you talking about? Like a single parent house. I'm like,

598
00:33:08,680 --> 00:33:11,640
Speaker 1: what's that like? Because I had three generations to deal

599
00:33:11,680 --> 00:33:15,480
Speaker 1: with great grandparents, grandparents, and my parents get in trouble

600
00:33:15,480 --> 00:33:17,080
Speaker 1: at one house, you got in trouble two more time

601
00:33:17,160 --> 00:33:19,880
Speaker 1: to two other houses. That was not nice. Well, I

602
00:33:19,920 --> 00:33:22,840
Speaker 1: mean a part of that might be that the way

603
00:33:23,000 --> 00:33:28,000
Speaker 1: black people are portrayed in mainstream media usually not that great, right,

604
00:33:28,120 --> 00:33:31,320
Speaker 1: But but it's also interesting to me because most of

605
00:33:31,480 --> 00:33:35,640
Speaker 1: my life was built around I'm watching mainstream media probably

606
00:33:35,720 --> 00:33:38,240
Speaker 1: like y'all, like I'm learning this with you, Like what

607
00:33:38,360 --> 00:33:40,480
Speaker 1: the hell are they talking about? Who are they talking about?

608
00:33:40,720 --> 00:33:43,680
Speaker 1: I remember like growing up, especially when the Internet became

609
00:33:43,720 --> 00:33:46,240
Speaker 1: a big thing. Yeah, I had read things. I knew

610
00:33:46,280 --> 00:33:48,280
Speaker 1: things were going on where I definitely was not ignorant,

611
00:33:48,360 --> 00:33:51,880
Speaker 1: not with my parents. But on the flip side, I'm like,

612
00:33:52,120 --> 00:33:56,520
Speaker 1: my experience was around people who were educated, highly educated.

613
00:33:56,800 --> 00:33:58,120
Speaker 1: A matter of fact, you didn't have a doctorate. They

614
00:33:58,160 --> 00:34:00,280
Speaker 1: used to look at you like like, what's with you?

615
00:34:00,480 --> 00:34:03,960
Speaker 1: He's gonna stop there, you under achiever? Going to stop

616
00:34:04,040 --> 00:34:07,120
Speaker 1: at a bachelor's degree? You disgusted, you know. Yeah, it

617
00:34:07,240 --> 00:34:10,440
Speaker 1: was like they were like, oh gosh, you know my

618
00:34:10,960 --> 00:34:13,640
Speaker 1: mom's first cousins, all of their children went to Ivy

619
00:34:13,719 --> 00:34:16,080
Speaker 1: League schools, like they all went to even before that.

620
00:34:16,400 --> 00:34:17,960
Speaker 1: My aunt was one of the first. I think she

621
00:34:18,040 --> 00:34:20,200
Speaker 1: was one the first black women and to Harvard Law School,

622
00:34:20,200 --> 00:34:23,360
Speaker 1: I believe. And she spoke fluent Chinese, which is and

623
00:34:23,600 --> 00:34:25,640
Speaker 1: I went to study abroad. I speak Japanese, but it's

624
00:34:25,640 --> 00:34:27,880
Speaker 1: because she studied Chinese, which is why I wanted to

625
00:34:27,920 --> 00:34:32,560
Speaker 1: take Japanese. So these were influences that I took for

626
00:34:32,640 --> 00:34:35,680
Speaker 1: granted almost because I figured that everybody, you know, had

627
00:34:35,760 --> 00:34:39,640
Speaker 1: that experience, that everybody knew that about the African American experience,

628
00:34:39,760 --> 00:34:42,719
Speaker 1: that was that was my norm, and not that I

629
00:34:42,800 --> 00:34:44,680
Speaker 1: hadn't seen or experienced. My dad's side of the family

630
00:34:44,760 --> 00:34:46,719
Speaker 1: is very different from my mom's, and not that I

631
00:34:46,760 --> 00:34:50,560
Speaker 1: haven't seen or experienced that as well. But the thing

632
00:34:50,640 --> 00:34:54,160
Speaker 1: that influenced me the most was um my dad's side.

633
00:34:54,200 --> 00:34:58,120
Speaker 1: Remember being like, gosh, man, these women they have like

634
00:34:58,320 --> 00:35:01,920
Speaker 1: you know, the standard was like high. Yeah, well that's

635
00:35:01,960 --> 00:35:04,240
Speaker 1: I mean, what's great about this movie is it normally

636
00:35:04,360 --> 00:35:08,680
Speaker 1: it normalizes a portrayal that you don't often see the

637
00:35:09,120 --> 00:35:13,160
Speaker 1: Black community, which were black women especially, you know. I

638
00:35:13,200 --> 00:35:17,600
Speaker 1: mean you feel like black women are portrayed as caretakers.

639
00:35:18,280 --> 00:35:22,439
Speaker 1: They're strong and struggling in a single mom and they're

640
00:35:22,600 --> 00:35:26,160
Speaker 1: all these like you guys, like literally fight the world

641
00:35:26,840 --> 00:35:31,560
Speaker 1: to achieve anything. You're down trodden, you know. So it's

642
00:35:31,600 --> 00:35:36,640
Speaker 1: really yeah, it's it's it's refreshing because all I see

643
00:35:36,680 --> 00:35:38,520
Speaker 1: is people like people like me. I'm like, oh, well

644
00:35:38,560 --> 00:35:41,200
Speaker 1: do yeah, I understand that that these are women that

645
00:35:41,320 --> 00:35:44,200
Speaker 1: I relate to I wish I was brought up around

646
00:35:44,760 --> 00:35:50,200
Speaker 1: smart people, really great or anyone besides white people. I

647
00:35:50,360 --> 00:35:53,239
Speaker 1: grew up in a town where my I went to

648
00:35:53,320 --> 00:35:56,400
Speaker 1: high school. There were three black people in my high school,

649
00:35:57,280 --> 00:36:01,920
Speaker 1: and two of them were opted by white families. So

650
00:36:02,080 --> 00:36:05,000
Speaker 1: they're just there was no diversity. There's no, There's just none.

651
00:36:05,360 --> 00:36:07,360
Speaker 1: I was lucky to grow up in a very diverse

652
00:36:07,880 --> 00:36:10,719
Speaker 1: city and be exposed to a lot of stuff that

653
00:36:11,440 --> 00:36:14,239
Speaker 1: I feel like, people don't look at a frail white

654
00:36:14,280 --> 00:36:18,480
Speaker 1: girl and be like, oh, she would know that, I mean,

655
00:36:18,719 --> 00:36:23,040
Speaker 1: and I'm so grateful for that because even I remember,

656
00:36:23,120 --> 00:36:27,120
Speaker 1: like when I was transitioning from moving home to college,

657
00:36:27,440 --> 00:36:31,520
Speaker 1: like you just some people have no fucking clue and

658
00:36:31,600 --> 00:36:34,160
Speaker 1: it's such a wake up call to Yeah, but you know,

659
00:36:34,320 --> 00:36:39,840
Speaker 1: I'm from the suburbs too, and my town was actually

660
00:36:40,120 --> 00:36:43,320
Speaker 1: I wanted to say a large percentage of Latino really,

661
00:36:43,960 --> 00:36:45,880
Speaker 1: but it was so segregated because I didn't go to

662
00:36:45,880 --> 00:36:49,480
Speaker 1: school with one Latino maybe one, oh yeah, two, and

663
00:36:49,520 --> 00:36:52,359
Speaker 1: I remember their names, Um say them right now now.

664
00:36:52,360 --> 00:36:56,560
Speaker 1: I'm kidding, shout at but I mean, although my school

665
00:36:56,600 --> 00:36:58,520
Speaker 1: is a public school, and although my school was a

666
00:36:58,600 --> 00:37:01,320
Speaker 1: very large public school, I was an honest program, and

667
00:37:01,760 --> 00:37:04,600
Speaker 1: there were two of us to African American, and I

668
00:37:04,600 --> 00:37:06,400
Speaker 1: remember the other one as well. She was the Georgetown

669
00:37:06,880 --> 00:37:10,200
Speaker 1: we were in that program, and then one Latino and

670
00:37:10,280 --> 00:37:13,719
Speaker 1: that in in one Asian grould, so literally everybody. It

671
00:37:13,800 --> 00:37:18,080
Speaker 1: felt like I was in a utopia with in a society.

672
00:37:18,600 --> 00:37:22,000
Speaker 1: Everybody else was running around intermingling, and I'm in a

673
00:37:22,160 --> 00:37:26,239
Speaker 1: world completely separate from everybody else. They even put us

674
00:37:26,280 --> 00:37:28,120
Speaker 1: in a different wing, you know how where the computers

675
00:37:28,160 --> 00:37:30,600
Speaker 1: were in that movie. That reminded me of where we

676
00:37:30,640 --> 00:37:33,239
Speaker 1: were put as honor students in a different place, away

677
00:37:33,280 --> 00:37:36,400
Speaker 1: from everybody else, but in a different part of campus almost.

678
00:37:36,640 --> 00:37:39,000
Speaker 1: And that was like a really weird experience for me

679
00:37:39,840 --> 00:37:43,880
Speaker 1: because my day, the majority of it was spent in

680
00:37:43,920 --> 00:37:47,600
Speaker 1: the majority white environment. And then the only time I

681
00:37:47,719 --> 00:37:50,560
Speaker 1: saw I saw anyone of color was at track practice.

682
00:37:50,960 --> 00:37:52,719
Speaker 1: And I also played the cello, so that's the whole

683
00:37:52,719 --> 00:37:57,120
Speaker 1: another life. Yeah, So it was really interesting experience for

684
00:37:57,239 --> 00:37:59,759
Speaker 1: me to be the one person I felt like that

685
00:38:00,040 --> 00:38:02,440
Speaker 1: knew So I knew so much about my culture, but

686
00:38:02,520 --> 00:38:06,160
Speaker 1: I realized a lot of people didn't, and I did

687
00:38:06,200 --> 00:38:08,640
Speaker 1: not feel like I wasn't really fighting really, but my

688
00:38:08,760 --> 00:38:11,200
Speaker 1: mom was, and I didn't even realize that until I'm

689
00:38:11,239 --> 00:38:14,520
Speaker 1: like an adult now. My mom was the one who

690
00:38:14,560 --> 00:38:16,680
Speaker 1: would be like no when my parents, both of them,

691
00:38:16,680 --> 00:38:18,400
Speaker 1: my dad and my mom would be like, no, you're

692
00:38:18,440 --> 00:38:21,720
Speaker 1: gonna do a report on this person. And it cannot

693
00:38:21,760 --> 00:38:24,560
Speaker 1: be like people that everybody knows, you're gonna do something

694
00:38:24,640 --> 00:38:27,200
Speaker 1: on you know, this person. So it was really interesting

695
00:38:27,280 --> 00:38:29,360
Speaker 1: that they had to wear with all to say no,

696
00:38:29,880 --> 00:38:32,759
Speaker 1: you're not gonna do that. You're gonna you're my job

697
00:38:32,880 --> 00:38:34,839
Speaker 1: is to be the teacher, and I know a lot

698
00:38:34,840 --> 00:38:36,440
Speaker 1: of black peoplen't want to be the teacher, but for

699
00:38:36,560 --> 00:38:39,120
Speaker 1: my parents are like, that's your job. You're going to

700
00:38:39,200 --> 00:38:43,640
Speaker 1: go in and because of what you're doing that inevitably

701
00:38:43,719 --> 00:38:48,080
Speaker 1: will open other people's minds. So yes, that was like awesome,

702
00:38:48,440 --> 00:38:50,919
Speaker 1: that is great. I'm trying to think if there's anything

703
00:38:50,960 --> 00:38:53,600
Speaker 1: else about the movie I wanted to say, and maybe

704
00:38:53,719 --> 00:38:59,560
Speaker 1: worried the book because I mean, watching it as you know,

705
00:38:59,680 --> 00:39:02,000
Speaker 1: as as an adult, it makes me want to you know,

706
00:39:02,120 --> 00:39:05,440
Speaker 1: you can tell that there's probably a lot of moments

707
00:39:05,480 --> 00:39:07,080
Speaker 1: that are left out of the movie so I can

708
00:39:07,120 --> 00:39:09,360
Speaker 1: reach a larger audience. But I want to. But I

709
00:39:09,400 --> 00:39:11,200
Speaker 1: also think a lot of women. I mean, couldn't women

710
00:39:11,239 --> 00:39:14,239
Speaker 1: relate to And he told her if you were a man,

711
00:39:14,560 --> 00:39:16,200
Speaker 1: would you want to be an engineer? She'd be like,

712
00:39:16,239 --> 00:39:18,360
Speaker 1: I wouldn't really be one. Yeah, she's I wouldn't have

713
00:39:18,440 --> 00:39:19,960
Speaker 1: to wish I would be one. I would be like

714
00:39:20,160 --> 00:39:21,560
Speaker 1: you know what I mean, like I would be one.

715
00:39:22,400 --> 00:39:26,520
Speaker 1: And it's not that's not over. Um, that's not over. Hello.

716
00:39:27,719 --> 00:39:31,200
Speaker 1: The thing this movie has, like it's the ending, is

717
00:39:31,280 --> 00:39:33,080
Speaker 1: very uplifting because it's like they went on to do

718
00:39:33,200 --> 00:39:35,400
Speaker 1: these things and they were regarded as the most brilliant

719
00:39:35,440 --> 00:39:38,000
Speaker 1: minds in NASA, and and you're like, yeah, good for them,

720
00:39:38,040 --> 00:39:40,839
Speaker 1: And then you're like, wait a minute, it's fifty years later,

721
00:39:41,040 --> 00:39:44,800
Speaker 1: over fifty years later, and they're still rampant racism and

722
00:39:44,920 --> 00:39:49,120
Speaker 1: misogyny all around us. Also to like, how do you

723
00:39:49,160 --> 00:39:51,640
Speaker 1: think that I feel even with what I do. I

724
00:39:51,760 --> 00:39:56,800
Speaker 1: play the cello. Even now, this is twenty seventeen, no

725
00:39:56,920 --> 00:39:59,920
Speaker 1: one can name like a black cellist, not even meal

726
00:40:00,000 --> 00:40:03,320
Speaker 1: a female like, no one because at the time I

727
00:40:03,480 --> 00:40:05,800
Speaker 1: was during research, there were no black cellist and the

728
00:40:05,880 --> 00:40:11,880
Speaker 1: Philharmonic in the country. So those first are still happening.

729
00:40:12,960 --> 00:40:17,480
Speaker 1: Misty Copley, like those first are still happening. I mean,

730
00:40:18,000 --> 00:40:20,719
Speaker 1: the reason why I haven't act as a comedian is

731
00:40:20,760 --> 00:40:26,120
Speaker 1: because there are no black cellist's fresh I didn't make

732
00:40:26,160 --> 00:40:28,439
Speaker 1: songs like the most famous black cellis, you know, because

733
00:40:28,480 --> 00:40:31,200
Speaker 1: I'm the only one you probably know, probably only cellist,

734
00:40:31,200 --> 00:40:34,880
Speaker 1: do you know, yo, people know I know, yeah exactly,

735
00:40:34,960 --> 00:40:39,160
Speaker 1: but you know, so it's it's it's so like I'm

736
00:40:39,239 --> 00:40:42,839
Speaker 1: waiting for the movie of you know, the first Black

737
00:40:42,880 --> 00:40:46,960
Speaker 1: ballaweena're like Misty Copeland or the first Black cellist. Like,

738
00:40:47,440 --> 00:40:50,759
Speaker 1: you know, there's still more work to be done, and

739
00:40:50,840 --> 00:40:53,359
Speaker 1: I'm so excited because then in like give me something

740
00:40:53,360 --> 00:40:55,560
Speaker 1: to look forward to. I want to be a first.

741
00:40:55,560 --> 00:40:58,239
Speaker 1: I want to achieve some stuff over here. So yeah,

742
00:40:58,480 --> 00:41:02,480
Speaker 1: you know, there's still areas of life that are still untapped.

743
00:41:05,320 --> 00:41:08,279
Speaker 1: We lift each other so we can we can get there.

744
00:41:08,480 --> 00:41:10,720
Speaker 1: And as women, I mean, I think women in general

745
00:41:10,800 --> 00:41:13,200
Speaker 1: should have been able to relate to you know, not

746
00:41:13,320 --> 00:41:15,960
Speaker 1: just African American women, but like if you look at

747
00:41:16,000 --> 00:41:19,040
Speaker 1: the white women in that movie, they was so like oppressed.

748
00:41:19,920 --> 00:41:23,320
Speaker 1: You can tell they were just suffering, suffering, Like because

749
00:41:23,440 --> 00:41:27,200
Speaker 1: even for Mrs Mitchell, for her, that's probably like a

750
00:41:27,280 --> 00:41:29,080
Speaker 1: kind of a big job, you know, because she's she's

751
00:41:29,080 --> 00:41:31,600
Speaker 1: the kind of the boss. She's a coordinator. But even

752
00:41:31,680 --> 00:41:34,560
Speaker 1: with that, who knows what her her background when she

753
00:41:34,640 --> 00:41:39,239
Speaker 1: wanted to really do who knows, Like, who knows, I

754
00:41:39,320 --> 00:41:42,680
Speaker 1: think she could have handled her, I don't know, choices

755
00:41:43,480 --> 00:41:45,479
Speaker 1: a lot better. Oh yeah, But it's not even about

756
00:41:45,560 --> 00:41:47,600
Speaker 1: like I'm not saying that her character. I mean, we

757
00:41:47,640 --> 00:41:50,759
Speaker 1: already know what her character is. But you look at

758
00:41:50,840 --> 00:41:55,120
Speaker 1: the dynamics between men and women in between. You you're

759
00:41:55,160 --> 00:41:59,080
Speaker 1: dealing with multiple layers men, women, um, African American, white,

760
00:41:59,520 --> 00:42:02,680
Speaker 1: and you're just like layering all this stuff on there.

761
00:42:02,960 --> 00:42:05,640
Speaker 1: And I think you know, you see the secretary in

762
00:42:06,360 --> 00:42:09,680
Speaker 1: the you know, in the task group. Yeah, you see

763
00:42:09,719 --> 00:42:12,319
Speaker 1: like the secretary. It's almost like she kind of really

764
00:42:12,360 --> 00:42:14,200
Speaker 1: knows it's not gonna work. You know, she kind of

765
00:42:14,200 --> 00:42:17,600
Speaker 1: already wrote it off, like, yeah, this is not gonna work.

766
00:42:18,000 --> 00:42:19,799
Speaker 1: I can't tell you how many people see me get

767
00:42:19,880 --> 00:42:21,799
Speaker 1: on stage with that show and be like, Okay, what happened? Man?

768
00:42:22,120 --> 00:42:23,520
Speaker 1: And then they'll come back to the show and be like, oh,

769
00:42:23,640 --> 00:42:26,400
Speaker 1: it was really good. Actually, because she says to her,

770
00:42:26,520 --> 00:42:28,839
Speaker 1: she says, I'm like, don't expect Mr Harrison to warm

771
00:42:28,920 --> 00:42:32,560
Speaker 1: up to you, like and then, um, because maybe you

772
00:42:32,560 --> 00:42:34,440
Speaker 1: didn't want up to her. Yeah, you know what I mean,

773
00:42:34,520 --> 00:42:38,640
Speaker 1: maybe he never warmed up to her. Yeah, it's very possible. Yeah.

774
00:42:38,680 --> 00:42:41,799
Speaker 1: And then the character of Mrs Mitchell, as much as

775
00:42:41,800 --> 00:42:46,440
Speaker 1: I can't stand here like the the like very tightly

776
00:42:46,600 --> 00:42:50,480
Speaker 1: repressed energy because she's sort of like in the middle

777
00:42:51,160 --> 00:42:55,239
Speaker 1: of she is not kind to black women because she

778
00:42:55,360 --> 00:42:58,359
Speaker 1: needs to feel important, and then she's constantly taking ship

779
00:42:58,840 --> 00:43:01,840
Speaker 1: from the white men and it just kind of results

780
00:43:01,880 --> 00:43:05,440
Speaker 1: in this weird little ball of fury like you just

781
00:43:06,040 --> 00:43:09,160
Speaker 1: and and it's uncomfortable because she plans to how to

782
00:43:09,200 --> 00:43:11,839
Speaker 1: go home and cook and touch somebody's toes and rub

783
00:43:11,920 --> 00:43:13,600
Speaker 1: his back. She worked the whole damn Jay, you may

784
00:43:13,719 --> 00:43:16,239
Speaker 1: forget that. She's like, man, I listened to Jim tell

785
00:43:16,280 --> 00:43:22,719
Speaker 1: me what to do and in a Sheldon from Big

786
00:43:22,760 --> 00:43:27,399
Speaker 1: Bang theory, but she says things like, you know, you're

787
00:43:27,440 --> 00:43:31,480
Speaker 1: the first black woman in this group. Don't embarrass me,

788
00:43:31,760 --> 00:43:35,040
Speaker 1: And it's like you, yeah, but so did so did

789
00:43:35,120 --> 00:43:38,360
Speaker 1: the other character too. Don't embarrass us, you know. But

790
00:43:38,560 --> 00:43:41,400
Speaker 1: it's also but it's also like, what's funny about that

791
00:43:41,560 --> 00:43:44,799
Speaker 1: is she thinks that that woman is going to embarrass her.

792
00:43:45,320 --> 00:43:47,640
Speaker 1: That's the funny part, Like, really, I'm like, do you

793
00:43:47,800 --> 00:43:51,279
Speaker 1: clearly don't know like the level of she was so

794
00:43:51,440 --> 00:43:55,320
Speaker 1: unaware of how talented they were. All she knows is

795
00:43:56,080 --> 00:43:57,960
Speaker 1: I can't believe I had to come down here to

796
00:43:58,080 --> 00:44:02,840
Speaker 1: get one of you. Basically, you're so unaware how freaking

797
00:44:02,920 --> 00:44:06,600
Speaker 1: phenomenal they are. It makes me laugh. All I can

798
00:44:06,640 --> 00:44:09,520
Speaker 1: think about is that there's a poem by my Angelo

799
00:44:09,719 --> 00:44:12,600
Speaker 1: called Phenomenal Women, No phenomenal Woman, And I'm like, and

800
00:44:12,760 --> 00:44:16,319
Speaker 1: our sorority is always like quote this poem, And all

801
00:44:16,360 --> 00:44:18,520
Speaker 1: I can think about is you have no anything. How

802
00:44:18,800 --> 00:44:22,880
Speaker 1: fearce these women are, these women are, there'reen circles around

803
00:44:22,960 --> 00:44:25,719
Speaker 1: you and all you know. But that's how her job is.

804
00:44:26,320 --> 00:44:28,680
Speaker 1: I gotta get down here, get this thing. All she

805
00:44:28,840 --> 00:44:30,640
Speaker 1: knows I gotta fill this, fill this, fill this field

806
00:44:30,640 --> 00:44:32,960
Speaker 1: is I don't want to deal with your issues with

807
00:44:33,120 --> 00:44:37,000
Speaker 1: wanting a raised chicken. You're lucky in her mind, you're

808
00:44:37,080 --> 00:44:39,960
Speaker 1: lucky or even here she says that too, Yeah, you're

809
00:44:40,000 --> 00:44:44,000
Speaker 1: lucky and have a job. Yes, and really it really

810
00:44:44,080 --> 00:44:46,800
Speaker 1: is a reverse. You're looking you have a job because

811
00:44:46,840 --> 00:44:50,920
Speaker 1: they're all so much smarter than you. Yeah, she for real,

812
00:44:51,120 --> 00:44:53,520
Speaker 1: she would have rocked Dorothy would have rocked her job

813
00:44:53,680 --> 00:44:56,440
Speaker 1: so hard that woman would be unemployed. She's back in

814
00:44:56,480 --> 00:45:02,279
Speaker 1: the kitchen having more babies by Jim Roast, Jim can

815
00:45:02,480 --> 00:45:05,640
Speaker 1: fuck off. I found out a little bit more about

816
00:45:05,760 --> 00:45:09,960
Speaker 1: the charity screenings UM where quite a few of them

817
00:45:10,160 --> 00:45:12,759
Speaker 1: were sponsored by the actors, and there was also a

818
00:45:13,000 --> 00:45:15,760
Speaker 1: girl Scout initiative to get a bunch of girl Scouts

819
00:45:16,160 --> 00:45:17,880
Speaker 1: uh to be able to go. And then there were

820
00:45:17,960 --> 00:45:21,960
Speaker 1: different ones sponsored by uh, you know, Octavia Spencer, Genel

821
00:45:22,000 --> 00:45:26,240
Speaker 1: Money uh and and Tag p Henson also Jim Persons,

822
00:45:26,320 --> 00:45:29,000
Speaker 1: also Ted Malfie, and so I think that there was

823
00:45:29,040 --> 00:45:32,359
Speaker 1: like fifteen different cities that ended up getting a ton

824
00:45:32,440 --> 00:45:36,399
Speaker 1: of young people that see the movie. Girl Scouts still around. Huh,

825
00:45:36,760 --> 00:45:39,640
Speaker 1: they're still I know you a girl scope. So was I?

826
00:45:39,880 --> 00:45:42,160
Speaker 1: So was? I always get the most patches because my

827
00:45:42,239 --> 00:45:43,920
Speaker 1: dad worked out of college and he make everybody come

828
00:45:43,920 --> 00:45:47,200
Speaker 1: into his UM office and buy girls cut cookies. So

829
00:45:47,280 --> 00:45:50,680
Speaker 1: I would win every time the whole college. My parents

830
00:45:50,719 --> 00:45:54,000
Speaker 1: were not motivated in regards to my girls, and I'm

831
00:45:54,040 --> 00:45:56,480
Speaker 1: not a salesman, so yeah, I would only ever get

832
00:45:56,520 --> 00:45:58,640
Speaker 1: like my grandma and my uncle to buy a box.

833
00:45:58,760 --> 00:46:00,800
Speaker 1: And I'd be like I've sold toy boxes and like,

834
00:46:01,400 --> 00:46:03,840
Speaker 1: shut up, Caitlin, get out of here. No, no, we

835
00:46:03,920 --> 00:46:06,920
Speaker 1: were rocking it. Yeah. I love girl Scouts until they

836
00:46:07,000 --> 00:46:09,239
Speaker 1: told us to go camping. Yeah, as we just say,

837
00:46:09,239 --> 00:46:13,480
Speaker 1: the wilderness brutal. I'm like, I know, I have no desire.

838
00:46:13,600 --> 00:46:15,719
Speaker 1: If I had a choice, I would never go outside. No.

839
00:46:15,840 --> 00:46:17,719
Speaker 1: My mom and I were like, Okay, we're at the

840
00:46:17,760 --> 00:46:21,480
Speaker 1: closest hotel, like we are not. Um, he invented uh

841
00:46:21,640 --> 00:46:24,920
Speaker 1: in or plumbing for a reason. I'm not gonna I

842
00:46:24,960 --> 00:46:28,000
Speaker 1: will say that my parents for it as a certain lifestyle,

843
00:46:28,040 --> 00:46:30,320
Speaker 1: and I'm grateful for I was like, no, we do.

844
00:46:30,560 --> 00:46:33,799
Speaker 1: We do not like camping. Maybe I wish they had.

845
00:46:33,840 --> 00:46:36,240
Speaker 1: Was it called glamping now? Is that what it's called? Yeah,

846
00:46:36,480 --> 00:46:39,319
Speaker 1: I want a Lambers camping. Yeah, I would. We would

847
00:46:39,360 --> 00:46:41,560
Speaker 1: totally sign up for that. But my mom and I

848
00:46:41,640 --> 00:46:43,879
Speaker 1: were like, oh my god. My mother like, where your

849
00:46:43,960 --> 00:46:46,359
Speaker 1: slippers in that shower? I don't know what's in there.

850
00:46:46,440 --> 00:46:48,319
Speaker 1: We were terrible. We were just like this is gross.

851
00:46:49,120 --> 00:46:51,160
Speaker 1: I felt like we would have been horrible in the wilderness. Man,

852
00:46:51,200 --> 00:46:53,759
Speaker 1: we would have been horrible. Oh And my dad was like,

853
00:46:53,880 --> 00:46:55,600
Speaker 1: I mean he's a professor, so my dad would be

854
00:46:56,840 --> 00:46:59,600
Speaker 1: my dad to take the tour guy's job. The tour

855
00:46:59,680 --> 00:47:01,880
Speaker 1: guy be like saying something, and my dad was My

856
00:47:01,960 --> 00:47:05,320
Speaker 1: dad's so smart. I think he is a computer. My

857
00:47:05,560 --> 00:47:08,000
Speaker 1: dad would literally be like just to add to that,

858
00:47:09,880 --> 00:47:12,320
Speaker 1: I mean, my dad knows everything about everything, but he

859
00:47:12,400 --> 00:47:21,239
Speaker 1: just retains everything because I watch him. No way I'll

860
00:47:21,280 --> 00:47:24,120
Speaker 1: keep the keepers. Yeah. I had an intense p t

861
00:47:24,239 --> 00:47:25,799
Speaker 1: A mom when I was younger with my mom one

862
00:47:25,840 --> 00:47:29,080
Speaker 1: of those Yeah, my mom didn't My mom didn't go

863
00:47:29,160 --> 00:47:32,440
Speaker 1: back to work until I was eleven. She used to

864
00:47:32,480 --> 00:47:35,919
Speaker 1: be a banker before I was born and then ended

865
00:47:35,960 --> 00:47:38,640
Speaker 1: up staying home with me an all tend of my cousins, uh,

866
00:47:39,239 --> 00:47:43,640
Speaker 1: from when before I was born until I Yes, it

867
00:47:43,719 --> 00:47:46,000
Speaker 1: would be ten kids at my house every day, sugar.

868
00:47:46,239 --> 00:47:48,640
Speaker 1: And then she went back and she was a p

869
00:47:48,800 --> 00:47:51,960
Speaker 1: t A mom when when she wasn't working and was

870
00:47:52,080 --> 00:47:57,600
Speaker 1: just taking care of like this brood of children. Um.

871
00:47:57,960 --> 00:48:00,200
Speaker 1: And then now she works at that school that she

872
00:48:00,280 --> 00:48:02,560
Speaker 1: used to be at, the PTA and she like went

873
00:48:02,600 --> 00:48:05,719
Speaker 1: back and got her masters and now she teaches because

874
00:48:06,239 --> 00:48:09,600
Speaker 1: I think that she just really wore the principle down

875
00:48:09,800 --> 00:48:13,200
Speaker 1: by being around for like ten consecutive years. Yeah, I

876
00:48:13,280 --> 00:48:15,759
Speaker 1: mean my mom probably had to deal with so in

877
00:48:15,800 --> 00:48:18,520
Speaker 1: the honest program, she had to deal with like certain

878
00:48:18,600 --> 00:48:21,520
Speaker 1: things in terms of teachers, not only just being a

879
00:48:22,160 --> 00:48:25,040
Speaker 1: black female. There was one honors program I got, like,

880
00:48:25,400 --> 00:48:26,880
Speaker 1: we had a Regents exams in New York. I got

881
00:48:26,880 --> 00:48:29,440
Speaker 1: like a nineties seven on the Regents exam and they

882
00:48:29,440 --> 00:48:31,960
Speaker 1: didn't put me in Honors English the following year. But

883
00:48:32,040 --> 00:48:35,040
Speaker 1: they didn't put any women in Honors English the following year,

884
00:48:35,120 --> 00:48:38,440
Speaker 1: hardly any and my mom like noticed it. My mom

885
00:48:38,560 --> 00:48:41,480
Speaker 1: was like, uh no, they had to go and fight

886
00:48:41,719 --> 00:48:43,759
Speaker 1: to get us in on his English. I didn't know that.

887
00:48:44,080 --> 00:48:46,520
Speaker 1: Mom was like, you guys are racist and sexist, and

888
00:48:46,600 --> 00:48:48,720
Speaker 1: these women and these kids need to get into this class.

889
00:48:48,880 --> 00:48:51,160
Speaker 1: She got a nineties seven on the beings. Are you crazy?

890
00:48:52,040 --> 00:48:55,520
Speaker 1: That's my mom terrific. Are there any final thoughts anyone

891
00:48:55,560 --> 00:48:58,640
Speaker 1: has about the movie? I loved it. I want more

892
00:48:58,719 --> 00:49:01,640
Speaker 1: kids to see it. Like I said before, it was

893
00:49:01,680 --> 00:49:06,360
Speaker 1: just nice. It was just nice to see let's we're ready, sisters,

894
00:49:08,200 --> 00:49:10,839
Speaker 1: because like that that pride is like what we were

895
00:49:10,880 --> 00:49:13,440
Speaker 1: raised around. So it's just like, yeah, I get this,

896
00:49:14,040 --> 00:49:16,960
Speaker 1: and it's just great to see that. Obviously this passes

897
00:49:17,000 --> 00:49:22,080
Speaker 1: the back. Yes, we should usually Yeah. Like there it's

898
00:49:22,160 --> 00:49:25,560
Speaker 1: like almost a comical passing of the test. Yeah, it happens,

899
00:49:25,680 --> 00:49:29,040
Speaker 1: And I mean I only wrote down like the scenes

900
00:49:29,120 --> 00:49:31,080
Speaker 1: that happened in the first half hour, and there are

901
00:49:31,200 --> 00:49:33,759
Speaker 1: like six of them where it passes. Like in the

902
00:49:34,120 --> 00:49:36,520
Speaker 1: first scene where the three women are together fixing the car,

903
00:49:36,880 --> 00:49:39,600
Speaker 1: they're talking about the car, they're talking about their jobs

904
00:49:39,640 --> 00:49:43,759
Speaker 1: at NASA. Then there's a room full of women, the

905
00:49:43,960 --> 00:49:46,840
Speaker 1: one that like Dorothy's handing out assignments too. They're all

906
00:49:46,880 --> 00:49:50,000
Speaker 1: talking each other there. Mrs Mitchell comes in and is like, hey,

907
00:49:50,160 --> 00:49:54,439
Speaker 1: who can handle analytic geometry here? Most of their conversations

908
00:49:54,880 --> 00:49:57,560
Speaker 1: whenever there are two women talking to each other, are

909
00:49:57,880 --> 00:50:02,680
Speaker 1: not about a man. It's usually about their job, space, travel, math,

910
00:50:03,560 --> 00:50:06,399
Speaker 1: you know, any number of things. There's a ton, there's

911
00:50:06,400 --> 00:50:08,719
Speaker 1: a ton of scenes where it passes the test, no

912
00:50:08,960 --> 00:50:11,920
Speaker 1: question about it. It reminds me of my first job.

913
00:50:11,960 --> 00:50:15,080
Speaker 1: I had. On first job, the MODS Investor Service, there's

914
00:50:15,120 --> 00:50:18,920
Speaker 1: a rating agency companies, fortunately a hundred companies, and my

915
00:50:19,080 --> 00:50:21,759
Speaker 1: job in the summer was to use a genie coal

916
00:50:21,840 --> 00:50:25,040
Speaker 1: efficient to figure out the average income of homes in

917
00:50:25,120 --> 00:50:28,640
Speaker 1: certain areas. And I remember it was really statistics and

918
00:50:28,680 --> 00:50:30,400
Speaker 1: I remember like sitting there like telling people is why

919
00:50:30,440 --> 00:50:33,120
Speaker 1: I do for summer. I'm like seventeen, eighteen years old

920
00:50:33,719 --> 00:50:35,920
Speaker 1: and people could be like, no, man, we don't even

921
00:50:35,960 --> 00:50:39,759
Speaker 1: know what you're talking about. And I remember like thinking

922
00:50:39,800 --> 00:50:42,440
Speaker 1: about that first job and and granted, I mean I

923
00:50:42,520 --> 00:50:44,239
Speaker 1: love math and I'm great at it, but not the

924
00:50:44,280 --> 00:50:46,279
Speaker 1: way these women are. But it made me feel really

925
00:50:46,320 --> 00:50:49,040
Speaker 1: good that I was like throwing out stuff. But you know,

926
00:50:49,120 --> 00:50:50,800
Speaker 1: I was like yeah, and people are like, what the

927
00:50:50,840 --> 00:50:54,560
Speaker 1: hell she's talking about. It reminds me of my job

928
00:50:54,600 --> 00:50:59,160
Speaker 1: as a Hooters delivery driver man bringing a bag. No, actually,

929
00:50:59,280 --> 00:51:02,880
Speaker 1: like I I was. I was, yeah, that was a

930
00:51:02,920 --> 00:51:08,279
Speaker 1: real thing for Hooters. You were you were uber um

931
00:51:09,040 --> 00:51:14,919
Speaker 1: like um, but no, actually I was the only woman

932
00:51:14,960 --> 00:51:17,160
Speaker 1: they hired to be a delivery driver and mostly other

933
00:51:17,200 --> 00:51:20,000
Speaker 1: guys got fired. So I was like one. I was like,

934
00:51:20,880 --> 00:51:22,879
Speaker 1: you're the last one. Here's the last one. I kind

935
00:51:22,880 --> 00:51:27,480
Speaker 1: of your story must be told. It must call Melfie.

936
00:51:30,000 --> 00:51:31,960
Speaker 1: I had. I had a math job once. I wouldn't

937
00:51:31,960 --> 00:51:35,400
Speaker 1: say excelled at it, but I worked at the comptroller's

938
00:51:35,440 --> 00:51:39,440
Speaker 1: office for all the summers in college. Uh still couldn't

939
00:51:39,600 --> 00:51:42,920
Speaker 1: exactly tell you what a comptroller does, but I didn't

940
00:51:43,320 --> 00:51:46,440
Speaker 1: crush crush a lot of numbers in that very cold

941
00:51:47,200 --> 00:51:50,319
Speaker 1: office for the people who did not really know how

942
00:51:50,360 --> 00:51:52,239
Speaker 1: to use computers. That was mostly what I did was

943
00:51:52,320 --> 00:51:55,680
Speaker 1: walk around and tell almost retirees how to you know,

944
00:51:56,080 --> 00:51:59,080
Speaker 1: use Microsoft work. You were like the Dorothy you like

945
00:51:59,520 --> 00:52:03,440
Speaker 1: I would. Yeah. Yeah, we didn't talk a lot about her,

946
00:52:03,560 --> 00:52:06,360
Speaker 1: but like, um, I mean she was great and she

947
00:52:06,520 --> 00:52:09,280
Speaker 1: like had the foresight to know, like to learn the computer.

948
00:52:09,840 --> 00:52:12,960
Speaker 1: She forgot about that. Yeah, she's snuck in there to

949
00:52:13,040 --> 00:52:15,520
Speaker 1: learn about the machine. And then she stole a book

950
00:52:15,520 --> 00:52:17,640
Speaker 1: from the library. And I love that speech. She's like,

951
00:52:17,719 --> 00:52:21,680
Speaker 1: I pay taxes. Everything in this library was paid by taxes. Mind.

952
00:52:22,120 --> 00:52:26,160
Speaker 1: But but do you realize the impact of not being

953
00:52:26,200 --> 00:52:30,040
Speaker 1: able to get the knowledge? Yeah, knowledge being withheld from you.

954
00:52:30,480 --> 00:52:33,080
Speaker 1: I can't even wrap my mind around that. I did

955
00:52:33,160 --> 00:52:36,239
Speaker 1: not realize until this movie that libraries were segregated like that,

956
00:52:36,360 --> 00:52:39,719
Speaker 1: that there was I did not know that. Yeah, I mean,

957
00:52:40,640 --> 00:52:42,640
Speaker 1: if you even think forget about just like in this

958
00:52:42,760 --> 00:52:45,279
Speaker 1: movie before, what was the one thing the slave math

959
00:52:45,480 --> 00:52:47,920
Speaker 1: not want that slaves to know. They don't want them reading.

960
00:52:48,520 --> 00:52:50,760
Speaker 1: You could not read. Theyn't want literate people because literally

961
00:52:50,800 --> 00:52:53,000
Speaker 1: people know how to fight back and how to fight that.

962
00:52:53,000 --> 00:52:54,640
Speaker 1: They didn't want them to have the tools. So what

963
00:52:54,719 --> 00:52:56,120
Speaker 1: do you do if you want to keep someone down,

964
00:52:56,200 --> 00:53:00,520
Speaker 1: You take their educ withhold you withhold knowledge, right, And

965
00:53:00,640 --> 00:53:02,640
Speaker 1: that goes back to having to go to court to

966
00:53:02,680 --> 00:53:06,360
Speaker 1: take a night class, like the exactly limiting access to

967
00:53:06,560 --> 00:53:14,120
Speaker 1: education exactly exactly and basically like humiliating people, yeah for

968
00:53:14,360 --> 00:53:16,520
Speaker 1: for needing to jump through all those hoops to even

969
00:53:16,640 --> 00:53:19,680
Speaker 1: have access. It's like, it's it's just And then when

970
00:53:19,760 --> 00:53:23,400
Speaker 1: she walks into that class and like when she finally

971
00:53:23,520 --> 00:53:26,360
Speaker 1: gets like, she petitions, she does all the things she

972
00:53:26,440 --> 00:53:28,520
Speaker 1: needs to do, and she finally has granted access to

973
00:53:28,600 --> 00:53:30,520
Speaker 1: this class she needs to take, and she walks in

974
00:53:30,600 --> 00:53:32,400
Speaker 1: and it's a bunch of white dudes. It's a white teacher,

975
00:53:32,480 --> 00:53:36,440
Speaker 1: and they're just like, what do we do? This curriculum

976
00:53:36,520 --> 00:53:41,439
Speaker 1: isn't designed for women, And she's like, I think it'll

977
00:53:41,480 --> 00:53:43,640
Speaker 1: be fine. It's another that's a good point to the

978
00:53:43,719 --> 00:53:47,640
Speaker 1: fact that it should needs to be easier for women. Yeah,

979
00:53:47,880 --> 00:53:51,920
Speaker 1: that's unfathomable to me because the women in my family

980
00:53:52,040 --> 00:53:56,480
Speaker 1: was so intelligent. I feel like it was I mean,

981
00:53:56,520 --> 00:53:59,600
Speaker 1: the yeah, the attitude was like, oh, your woman, you're small,

982
00:54:00,120 --> 00:54:03,719
Speaker 1: in brain? How could you ever possibly handle this information? Man?

983
00:54:03,800 --> 00:54:05,120
Speaker 1: It just reminds me of that. Wasn't there like a

984
00:54:05,200 --> 00:54:07,440
Speaker 1: Barbie where you like pulled the string and it was

985
00:54:07,520 --> 00:54:11,120
Speaker 1: like math is hard? But what do you think that's

986
00:54:11,120 --> 00:54:15,520
Speaker 1: a portrayal for white women? What that like? Like that frail?

987
00:54:15,719 --> 00:54:17,400
Speaker 1: Like you like you don't know as much. I mean

988
00:54:17,680 --> 00:54:20,359
Speaker 1: obviously this movie was like you know, it was an

989
00:54:20,480 --> 00:54:23,040
Speaker 1: African American woman, but I mean I feel like I'm like,

990
00:54:23,440 --> 00:54:25,960
Speaker 1: what is this Like I don't know that this woman

991
00:54:26,040 --> 00:54:29,120
Speaker 1: maybe she's not as smart really, But then it maybe

992
00:54:29,160 --> 00:54:31,960
Speaker 1: when I got older it made more sense that, oh

993
00:54:32,640 --> 00:54:35,480
Speaker 1: men really think this that was I was so blinded

994
00:54:35,520 --> 00:54:39,160
Speaker 1: by that, so blinded because as a as a woman,

995
00:54:39,360 --> 00:54:42,239
Speaker 1: as a girl in my class, I was with the

996
00:54:42,320 --> 00:54:44,600
Speaker 1: nose dudes asked. So I didn't even really think about

997
00:54:44,680 --> 00:54:48,239
Speaker 1: Like I didn't think about gender, Like Jenna didn't even

998
00:54:48,280 --> 00:54:50,759
Speaker 1: come into my brain like that. Yeah, I don't know.

999
00:54:50,880 --> 00:54:54,560
Speaker 1: It didn't occur to me until maybe high school, but

1000
00:54:54,680 --> 00:54:59,400
Speaker 1: probably later because I mean, like I love everyone in

1001
00:54:59,440 --> 00:55:02,640
Speaker 1: my family. The males in my family are present betas,

1002
00:55:03,239 --> 00:55:08,680
Speaker 1: Like every major male figure in my life. Uh was

1003
00:55:08,760 --> 00:55:13,000
Speaker 1: a beta is a beta to this day and so

1004
00:55:13,280 --> 00:55:15,600
Speaker 1: like and even down to like me and my cousins

1005
00:55:15,760 --> 00:55:18,800
Speaker 1: and and uh, I don't know exactly what the split

1006
00:55:18,840 --> 00:55:21,360
Speaker 1: between girls and boys about have and half, but the

1007
00:55:22,160 --> 00:55:24,960
Speaker 1: girls that I grew up with, we were you know,

1008
00:55:25,040 --> 00:55:27,640
Speaker 1: we were whipping their assets stuff at school, and that

1009
00:55:27,880 --> 00:55:30,960
Speaker 1: was just sort of what what what it was and

1010
00:55:31,320 --> 00:55:34,160
Speaker 1: what it always know what I think about it actually too,

1011
00:55:34,360 --> 00:55:35,880
Speaker 1: that's actually true, it is. I don't think it's a

1012
00:55:36,520 --> 00:55:38,200
Speaker 1: raised thing. I think, but men just really think they're

1013
00:55:38,200 --> 00:55:40,560
Speaker 1: smart than women. Yeah, I think, I think. I think

1014
00:55:40,600 --> 00:55:43,560
Speaker 1: it's I don't think maybe women of color experienced it

1015
00:55:43,640 --> 00:55:47,040
Speaker 1: to a greater degree where you know, people assume, oh

1016
00:55:47,120 --> 00:55:48,560
Speaker 1: you're not going to be as smart, you're not going

1017
00:55:48,600 --> 00:55:52,359
Speaker 1: to know as much, etcetera. But white women, Yeah, that's

1018
00:55:52,400 --> 00:55:54,799
Speaker 1: so interesting. Like I just think it's an interesting thing

1019
00:55:54,920 --> 00:55:57,960
Speaker 1: to sit there and feel you're right and you sit

1020
00:55:58,000 --> 00:55:59,920
Speaker 1: there and you want But that's something I don't understand,

1021
00:56:00,320 --> 00:56:05,040
Speaker 1: Like I understand it intellectually, but in reality, in experience,

1022
00:56:05,280 --> 00:56:09,680
Speaker 1: I'm like, no, this is not true. It just like

1023
00:56:09,760 --> 00:56:11,520
Speaker 1: takes you a really long time to realize that that

1024
00:56:11,680 --> 00:56:15,000
Speaker 1: is actually what's happening. Like this was very like specific

1025
00:56:15,120 --> 00:56:18,160
Speaker 1: memory in college of like I was starting to do

1026
00:56:18,480 --> 00:56:20,560
Speaker 1: comedy stuff and it was like taking an interest in it.

1027
00:56:20,960 --> 00:56:24,320
Speaker 1: And I had been like feeling weird for a while

1028
00:56:24,440 --> 00:56:25,960
Speaker 1: and then she just hit me. I'm like, oh, you

1029
00:56:26,160 --> 00:56:30,160
Speaker 1: just don't think that I can do this, like and

1030
00:56:30,280 --> 00:56:33,440
Speaker 1: it was. It hadn't occurred to me until college. I

1031
00:56:33,520 --> 00:56:36,920
Speaker 1: think I think college it hit me that people also too,

1032
00:56:37,520 --> 00:56:40,200
Speaker 1: I'm being in I'm a decent master, that I'm a

1033
00:56:40,280 --> 00:56:43,000
Speaker 1: really good like micro econ and statistics like that was

1034
00:56:43,040 --> 00:56:45,840
Speaker 1: like my thing in my micro econ class, which like

1035
00:56:45,880 --> 00:56:48,879
Speaker 1: everybody always fail. So you know, gray on the curve

1036
00:56:49,600 --> 00:56:52,360
Speaker 1: and I remember they were like, well, somebody destroyed the

1037
00:56:52,400 --> 00:56:55,839
Speaker 1: curve because she got it was me up the curve.

1038
00:56:56,400 --> 00:57:00,399
Speaker 1: And I realized now he never said who destroyed the curve,

1039
00:57:00,520 --> 00:57:02,560
Speaker 1: but he did when I did. It did not hit

1040
00:57:02,680 --> 00:57:06,799
Speaker 1: me until much later. I was like, I wonder if

1041
00:57:06,840 --> 00:57:09,440
Speaker 1: he'd said that because I was a black woman in

1042
00:57:09,560 --> 00:57:12,000
Speaker 1: this class of mostly white dude, do you think he

1043
00:57:12,120 --> 00:57:13,959
Speaker 1: was trying to he was calling attention to it because

1044
00:57:14,040 --> 00:57:16,800
Speaker 1: he wanted you to be He wanted the other students

1045
00:57:16,840 --> 00:57:19,640
Speaker 1: to be mad at you. Well, I think they were mad.

1046
00:57:19,680 --> 00:57:21,600
Speaker 1: I don't think that was his intention. I think he

1047
00:57:21,680 --> 00:57:25,080
Speaker 1: wanted them to acknowledge that I had done this. Yeah,

1048
00:57:25,800 --> 00:57:31,560
Speaker 1: but they were mad, pissed. You know. I was like, whatever, man,

1049
00:57:35,720 --> 00:57:39,680
Speaker 1: curve destroyer. That's a brutal position to be in. Loved

1050
00:57:39,720 --> 00:57:44,360
Speaker 1: it and I tried to achieve it every time. No mercy. Yeah,

1051
00:57:46,600 --> 00:57:50,520
Speaker 1: so let's write the movie on our nipple scale. Nipples,

1052
00:57:50,920 --> 00:57:53,480
Speaker 1: nipples scale. This is another movie that I'm going to

1053
00:57:53,600 --> 00:57:57,400
Speaker 1: give a very high nipple rating. Two, maybe even a five,

1054
00:57:58,560 --> 00:58:00,600
Speaker 1: like a four point five or five. I'm gonna commit.

1055
00:58:00,600 --> 00:58:03,360
Speaker 1: I'm gonna give it a five. Um. I love the

1056
00:58:03,400 --> 00:58:08,080
Speaker 1: way the three main women are portrayed. Um, they're just

1057
00:58:08,600 --> 00:58:12,680
Speaker 1: they're they're constantly like uplifting each other. I just love

1058
00:58:12,760 --> 00:58:15,560
Speaker 1: them that the movie shows women in a way we

1059
00:58:15,600 --> 00:58:20,240
Speaker 1: haven't seen before, typically three black women who are aerospace

1060
00:58:20,680 --> 00:58:24,520
Speaker 1: engineered geniuses. That was a really cool thing to see

1061
00:58:24,560 --> 00:58:28,920
Speaker 1: on screen. And I just really enjoy this movie. And

1062
00:58:29,000 --> 00:58:30,720
Speaker 1: it makes me feel a lot of feelings that I

1063
00:58:31,080 --> 00:58:33,600
Speaker 1: don't like to admit that I have because feelings are dumb.

1064
00:58:33,800 --> 00:58:40,160
Speaker 1: They're in there, they're I know, I forget that I'm trying.

1065
00:58:40,760 --> 00:58:43,040
Speaker 1: But um, so I want to do is talk about

1066
00:58:43,080 --> 00:58:46,320
Speaker 1: my favorites all day. Every day. I pay someone a lot,

1067
00:58:46,320 --> 00:58:50,320
Speaker 1: have money to listen to my feelings. That's smart. I'm

1068
00:58:50,520 --> 00:58:51,920
Speaker 1: debt how to do that because i love to talk

1069
00:58:51,920 --> 00:58:55,800
Speaker 1: about my feelings so much. And I'm getting to give

1070
00:58:55,840 --> 00:58:58,400
Speaker 1: it five out of five for sure. Yeah, I mean

1071
00:58:58,480 --> 00:59:01,000
Speaker 1: for all the reasons that you said. Also, just every

1072
00:59:01,120 --> 00:59:04,440
Speaker 1: character in this movie is portrayed with nuance that I

1073
00:59:04,600 --> 00:59:08,800
Speaker 1: think that if the attention to detail hadn't been so strong,

1074
00:59:08,880 --> 00:59:11,640
Speaker 1: it would have been very easy to paint every character

1075
00:59:11,720 --> 00:59:14,840
Speaker 1: in this movie with far broader strokes, and it wouldn't

1076
00:59:14,840 --> 00:59:18,320
Speaker 1: have been as effective. Um, I'm so happy this movie

1077
00:59:18,720 --> 00:59:21,160
Speaker 1: exists and that people will be able to watch it.

1078
00:59:21,480 --> 00:59:25,920
Speaker 1: I like want to show my kids this movie. Yeah, hardcore.

1079
00:59:26,040 --> 00:59:29,680
Speaker 1: Five nipples, Yeah, hardcore. Each about three African American women

1080
00:59:30,160 --> 00:59:36,960
Speaker 1: mathematicians who will portrayed layer multidimensional characters. Hell yeah, five nipples.

1081
00:59:37,560 --> 00:59:40,720
Speaker 1: We did. This is the second movie that's gotten out

1082
00:59:40,760 --> 00:59:44,240
Speaker 1: of like whatever we've done that they've gotten the five

1083
00:59:44,240 --> 00:59:48,720
Speaker 1: out of five treatment. The first one was MO, wanna Nina?

1084
00:59:48,960 --> 00:59:50,840
Speaker 1: Do you have anything you want to plug? Or where

1085
00:59:50,880 --> 00:59:53,320
Speaker 1: can people find you online? I have a website meaning

1086
00:59:53,400 --> 00:59:56,760
Speaker 1: Daniel dot com. I'm huge into snapchat, Instagram, so on

1087
00:59:56,800 --> 00:59:59,800
Speaker 1: Instagram mean that Daniel is a dot official and snapchat

1088
01:00:00,040 --> 01:00:03,240
Speaker 1: on um Nina's Playground, And I have a monthly show,

1089
01:00:03,320 --> 01:00:06,120
Speaker 1: like you said earlier here at the Nerk Mount most

1090
01:00:06,160 --> 01:00:08,680
Speaker 1: of the last Tuesday of the month. Anything Else presents

1091
01:00:08,720 --> 01:00:11,160
Speaker 1: the playground and it's awesome and a lot of fun. Yeah,

1092
01:00:11,440 --> 01:00:14,280
Speaker 1: anything you want to plug Jamie. Um, yes, this is

1093
01:00:14,520 --> 01:00:16,040
Speaker 1: this episode is going to come out in the future,

1094
01:00:16,480 --> 01:00:19,760
Speaker 1: but right now. I made a bunch of pinatas today.

1095
01:00:20,040 --> 01:00:22,280
Speaker 1: Do you know a live stream at jash tomorrow that

1096
01:00:22,360 --> 01:00:24,600
Speaker 1: you'll be able to watch by the time this episode

1097
01:00:24,640 --> 01:00:27,640
Speaker 1: comes out, And it's entirety. It's called Swan Lake Live

1098
01:00:27,720 --> 01:00:31,120
Speaker 1: from a Locked Basement. I'm gonna do ballet, Y're gonna

1099
01:00:31,160 --> 01:00:33,520
Speaker 1: I made a bunch of new cartoons for it. Uh,

1100
01:00:33,640 --> 01:00:36,600
Speaker 1: and I've got to go finish making the pinatas for it.

1101
01:00:36,720 --> 01:00:39,240
Speaker 1: It takes place on the day of Round Reagan's assassination,

1102
01:00:39,680 --> 01:00:42,120
Speaker 1: and I've got a big pinata of Jodi Foster's head

1103
01:00:42,120 --> 01:00:45,200
Speaker 1: and gotta smash it. I love everything about that. I

1104
01:00:45,320 --> 01:00:50,280
Speaker 1: was going to satto to it, so watch that and

1105
01:00:50,680 --> 01:00:53,640
Speaker 1: uh and at Hamburger Fun. Yeah. I don't have any

1106
01:00:53,680 --> 01:00:57,560
Speaker 1: cool um Swan Lake projects or anything like that, but

1107
01:00:57,680 --> 01:01:00,200
Speaker 1: you can follow me at Caitlin Toronto on what Are.

1108
01:01:00,280 --> 01:01:03,120
Speaker 1: You can follow the podcast on Twitter too, at Bechtel Cast.

1109
01:01:03,480 --> 01:01:05,520
Speaker 1: You can email us. I haven't we haven't talked about

1110
01:01:05,520 --> 01:01:07,360
Speaker 1: the email. I don't even know if we've gotten any

1111
01:01:07,400 --> 01:01:10,800
Speaker 1: I should check it, but anyway, we just email us.

1112
01:01:10,920 --> 01:01:13,680
Speaker 1: We don't, we just check it. Maybe i'll ' sit

1113
01:01:13,720 --> 01:01:16,520
Speaker 1: that part out. We'll see. We well, we we answer face.

1114
01:01:16,680 --> 01:01:18,840
Speaker 1: It says on our Facebook page that we answer messages

1115
01:01:18,960 --> 01:01:21,520
Speaker 1: very quickly. I was like, hell, yeah, go very awesome,

1116
01:01:21,760 --> 01:01:24,040
Speaker 1: but yeah, find us on Facebook, find us on Twitter.

1117
01:01:24,120 --> 01:01:27,240
Speaker 1: You can email us at the Bechtel Cast at gmail

1118
01:01:27,280 --> 01:01:29,800
Speaker 1: dot com and rate and review us on iTunes and

1119
01:01:29,880 --> 01:01:35,120
Speaker 1: we're on SoundCloud. Shout out to Aristotle or on Baby.

1120
01:01:37,880 --> 01:01:40,560
Speaker 1: Thank you so much Nina for being here. Thank you,

1121
01:01:41,160 --> 01:01:45,800
Speaker 1: thank you so much. It was awesome and um, reach

1122
01:01:45,960 --> 01:01:50,160
Speaker 1: for the stars. Guys. It's a it's a hidden figures. Uh.

1123
01:01:53,480 --> 01:01:55,920
Speaker 1: I was like, are you are even a monologue right now?

1124
01:01:58,400 --> 01:02:02,320
Speaker 1: This is the famous Land soliloquy our yeah, yeah, just

1125
01:02:02,440 --> 01:02:05,800
Speaker 1: a moment his end to end. Yeah, okay, um alright

1126
01:02:05,880 --> 01:02:07,960
Speaker 1: yeah bye by Yang Toodles