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Speaker 1: Oh hey, there, it's me Jack. You've caught me unwinding,

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Speaker 1: enjoying a large goblet of delicious eggnog, untangling my brain,

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Speaker 1: gaining five to fifteen pounds of eggnog while we unwind.

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Speaker 1: Here at Daily Zeitgeist, in addition to publishing our normal

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Speaker 1: year end episodes and Santa's University, etc. We've decided to

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Speaker 1: take the opportunity to count down the top ten episodes

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Speaker 1: of the year published over the next ten days. The

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Speaker 1: ten days that will be off Monday through Friday, two

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Speaker 1: weeks in a row. How Jack, how did you guys

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Speaker 1: determine the top ten episodes? They were all equally incredible. Well,

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Speaker 1: we used a little something called democracy. Ever heard of it?

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Speaker 1: Depending on when you listen to this episode, that might

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Speaker 1: not be such a rhetorical question. But anyways, we let

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Speaker 1: you vote on the most listened to episodes of the

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Speaker 1: year to see what you liked best. And you're about

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Speaker 1: to hear your answers. Just ten bangers right in a row.

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Speaker 1: We've got a trending episode in the mix. We got

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Speaker 1: a lot of good ones and at number one, well,

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Speaker 1: let's just say you'll find out, especially if this is

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Speaker 1: the number one episode we're putting this same bumper at

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Speaker 1: the start of all ten, so we hope you enjoy it.

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Speaker 1: We hope you enjoyed listening to this year of TDZ

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Speaker 1: as much as we enjoyed making it. And we will

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Speaker 1: see you all in twenty twenty five. We hope you

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Speaker 1: have a RESTful holiday.

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Speaker 2: Has my audio by the way, do let me make

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Speaker 2: sure my.

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Speaker 3: You sound great to me?

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Speaker 1: Yeah?

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Speaker 3: Oh good?

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Speaker 2: Oh wait, select America's blue snowball? Right, oh yeah, I

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Speaker 2: wasn't supposed to say out loud. I'm still on my

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Speaker 2: blue snowball.

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Speaker 1: You're on a blue snowball. Holy wait, old, I don't.

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Speaker 3: Even know what that is. I don't know what that is.

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Speaker 3: You're the podcasters are like so it's like so old school.

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Speaker 2: It's like it's like circa Obama era started a podcast.

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Speaker 1: It's in the shape of a little ball and it's

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Speaker 1: got little legs on it. I think it's actually pre

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Speaker 1: dates my time.

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Speaker 3: And does it looks like it looks like what you

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Speaker 3: thought Xenon would use you know what I mean? Yeah,

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Speaker 3: it's like a prop from Xenon. Girl of the twenty

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Speaker 3: first century.

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Speaker 1: Like one of the thirty movies that came out after

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Speaker 1: Star Wars, where they were like, we could do that

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Speaker 1: too with just stuff we have around the house.

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Speaker 3: Yeah, sorry, I love I don't know how to tell

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Speaker 3: your listeners this, but Xenon Girl of the twenty first

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Speaker 3: Century is better than Star Wars. Come in my DM, bitches.

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Speaker 1: Star Wars doesn't have that many fans actually, and the

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Speaker 1: ones that does have very chill, so chill, very chill

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Speaker 1: and reasoned circumspect. I would say the number one word

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Speaker 1: that comes to mind for me with Star Wars fans circumspect,

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Speaker 1: good priorities, everything's in its right place. Hello the Internet,

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Speaker 1: and welcome to season three point fifty five, episode five

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Speaker 1: of DORNELLY'SA Guys Stay production of iHeartRadio. This is a

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Speaker 1: podcast where we take a deep dive into America's shared

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Speaker 1: consciousness and we are, of course America's only undecided podcast.

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Speaker 1: Uh wait, toasted by me, an undecided voter. We're still

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Speaker 1: just like not sure what to think about these two

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Speaker 1: and the New York Times throws us parties all the time.

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Speaker 1: It's great. It is Friday, September thirteenth, twenty twenty four.

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Speaker 1: My name is Jack O'Brien aka me and you Slurping

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Speaker 1: soup like effeminine dudes, person lips on some thick ass straws,

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Speaker 1: plumpers out, homophobes jawed. That is courtesy of Wacaronio on

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Speaker 1: the discord A Little Elevators Outcast at aliens Aka, I

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Speaker 1: am thrilled to be joined by a hilarious stand up medium, writer, actor, improviser.

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Speaker 1: You can catch her on stand up stages everywhere, check

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Speaker 1: her website and at the monthly Facial Recognition comedy show,

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Speaker 1: which she also produces. It's poligna.

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Speaker 4: I'm never leaving.

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Speaker 3: I've come back, that never going away.

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Speaker 1: Every time Want Miles or I is out and you

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Speaker 1: fill in for us, there are people who come in

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Speaker 1: and are like, take your time getting back guys. Paulavi

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Speaker 1: has this. I'm like, I know Paulavi has this, but

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Speaker 1: kind of fuck you. That hurts my feelings. I don't

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Speaker 1: need to hear. I don't need to hear someone's better

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Speaker 1: at my job than me, even if they are.

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Speaker 3: Coughing on your kids hoping you you guys will get sick.

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Speaker 1: Oh man, you don't have to, by the way that

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Speaker 1: that job has been taken care of by everyone else

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Speaker 1: in first and second grade.

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Speaker 3: So incredible.

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Speaker 1: Yes, it's great. To have you back, Paula, be happy

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Speaker 1: to be here, Miles still not feeling well. Send the

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Speaker 1: good vibes out to Miles heading into his birthday weekend.

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Speaker 1: Also send him birthday wishes. Yeah, easy way to remember.

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Speaker 1: He and Prince Harry born on the same day, in

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Speaker 1: the same hospital and where they switched at birth.

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Speaker 3: I don't know who does the Queen love more or

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Speaker 3: loved more? Probably Miles at this point.

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Speaker 1: Miles may not look like Prince Charles and Diana, but

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Speaker 1: you know who else doesn't Prince Harry, So you know

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Speaker 1: what I mean. I'm just saying, just putting it out there. Actually,

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Speaker 1: I don't think he was born.

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Speaker 3: In the same love child of Sharon and Princess Diana.

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Speaker 1: Somehow, Well, Paula Vey, we are thrilled to be joined

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Speaker 1: in our third seat by one of our very favorite guests,

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Speaker 1: a very funny comedian and activist, the host of the

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Speaker 1: great award winning podcast Good Muslim, Bad Muslim, the senior

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Speaker 1: Fellow on Comedy at the Pop Culture Collab. She's written

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Speaker 1: in The New York Times, wrote and performed a piece

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Speaker 1: on NPR's Fresh Air, and his guest producer to Academy

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Speaker 1: Award winner Lupita Nyongo's new podcast, Mind your Own, available

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Speaker 1: wherever you get podcasts. We don't usually like to acknowledge

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Speaker 1: other that other podcasts exist on this show, but we

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Speaker 1: will in this one instance because it sounds pretty fucking cool.

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Speaker 1: It is the hilarious and talented Zara Normal.

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Speaker 2: What Oh my god, it's so good to be here.

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Speaker 1: So good to have you back.

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Speaker 3: I like obsessed that, you know, Lupita Nonga.

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Speaker 1: I talk with her like crazy.

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Speaker 3: I'm like, I bet she just smells so nice. In

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Speaker 3: love with her. I'm obsessed with the fact that she

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Speaker 3: got a cat because of a quiet place after having

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Speaker 3: to have cat therapy because she was scared of cats,

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Speaker 3: and then she filmed that movie and then she adopted

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Speaker 3: a cat, and now she posts like photo shoots with

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Speaker 3: a cat for its birthday, and I'm like, obsessed, Oh

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Speaker 3: my god.

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Speaker 2: It's just phenomenal.

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Speaker 1: You just rattled that off like everybody knows. That is

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Speaker 1: that something everybody knows?

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Speaker 3: If you heard me on the last episode, I'm obsessed

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Speaker 3: with Moodang, the pygmy hippo from Asia, and I'm obsessed

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Speaker 3: with Lapida Nonga and her cat. And that's the only

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Speaker 3: two things on my timeline.

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Speaker 2: Actually, she has many superpowers. One of them is just

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Speaker 2: you would tell her your name pronunciation and then it's

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Speaker 2: just there right right away, right away. Yeah, and just

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Speaker 2: like so fast with every I mean, she's an Academy

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Speaker 2: Award winning actress. Of course you can retain mountains and

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Speaker 2: mountains of information. But it's just like so smooth, so professional.

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Speaker 1: Knows its way around a word or two.

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Speaker 3: But that was the creepiest way to say that.

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Speaker 1: Still is that weird? Why do we keep talking about

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Speaker 1: her mouth? From that?

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Speaker 3: I love you.

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Speaker 2: I'm still recovering.

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Speaker 1: I really apologize. Jesus Christ was that.

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Speaker 3: It's a beautiful mouth you got there seems to know it's.

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Speaker 1: A way around. That is a compliment I like to

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Speaker 1: give people. Is it not good? I mean I could

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Speaker 1: just you can maybe you can be honest with me.

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Speaker 3: Here, give it to really macho man and see, God.

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Speaker 1: Damn, your mouth knows it's when.

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Speaker 2: I've read that's like a skirt that really knows her

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Speaker 2: way around all fill in the blank.

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Speaker 3: Mm hmmm, yeah, well he didn't say skirt.

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Speaker 4: No.

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Speaker 1: Yeah, to be fair, Zara, that I understand why you

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Speaker 1: said that. But Brian has been instructed to edit out

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Speaker 1: all the times when I say skirt, so it won't

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Speaker 1: be in the final cut.

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Speaker 2: I mean, that's the way to do it. Just erase

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Speaker 2: any history a skirt.

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Speaker 1: Jesus Christ. Well, I apologize for that, but I am

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Speaker 1: thrilled to have you back on the show. Out. Yeah,

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Speaker 1: how's motherhood treating you? Oh my god, that's all we

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Speaker 1: need to hear. I think that says it all.

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Speaker 3: But that means if you're not an exhausted parent, then

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Speaker 3: like you're a bad parent, you know what I mean.

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Speaker 3: So that means you're a great mom.

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Speaker 2: Oh thanks, thank you much. There's just things I can't

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Speaker 2: do anymore. Is just like most conversations, like thank god

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Speaker 2: this is pre recorded.

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Speaker 1: Yeah, no, we it's taken it. It's taken us forty

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Speaker 1: five minutes to get this much. Just so the listeners aware,

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Speaker 1: we're nobody's making sense.

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Speaker 2: Yeah, yeah, Why do people ask how are you doing?

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Speaker 1: Like I just did. I don't know. Fuck those people you.

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Speaker 2: Said how are you doing? Like just stand for you know,

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Speaker 2: just standard like small talk, right, But then there are

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Speaker 2: those people who grab you by the wrist and pull

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Speaker 2: you toward them and say no, really no you do.

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Speaker 1: Yes, this is something that like some dads do is

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Speaker 1: they want to have like real conversations like that at

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Speaker 1: the like jump that, like they just like see you

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Speaker 1: and they're like, no, mate, how you really doing? Man?

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Speaker 1: You know, I'm like, judge your body language and stuff.

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Speaker 3: I think people like I think people like during COVID

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Speaker 3: were like, check it on your friends, and it's like, bitch,

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Speaker 3: don't check it on me. Okay, you're gonna make it worse.

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Speaker 3: You're bad for my mental health. The people who need

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Speaker 3: to check on me will.

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Speaker 2: Oh my god, do you know how long it takes

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Speaker 2: me to stand up. I have to breathe in from

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Speaker 2: my deepest core that is so stretched out I might

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Speaker 2: leaking blood cloths.

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Speaker 3: Yeah, it's like alien.

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Speaker 2: Oh my god, it's like alien, but I'm more hollow inside.

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Speaker 3: That should be a Mother's Day card, like forget this bullshit,

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Speaker 3: flowers whatever, be like thank you for being inside.

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Speaker 1: Just a picture pointing to the guy on the table

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Speaker 1: after the chest burster, just like you.

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Speaker 3: Yeah, and then it's like you're like you cut out

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Speaker 3: a picture of your face and put it on the

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Speaker 3: little alien.

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Speaker 1: Have you have either of you seen the new alien Romulus?

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Speaker 3: No? But I saw the behind the scenes thing where

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Speaker 3: it was like a real guy and not CGI and

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Speaker 3: it was like the tall they.

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Speaker 1: Killed a guy. Oh no, no, you're not checking about

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Speaker 1: I thought that you met the person having the thing

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Speaker 1: come out of them. Uh yeah, no, they have a

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Speaker 1: person in a suit. But the connection of chest Burster

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Speaker 1: being like childbirth is made and remade and underlined in

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Speaker 1: that movie. They're like, but like, have you thought about it?

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Speaker 1: Like really but in some.

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Speaker 2: Way revolutionary and it's time Oh yeah, ye yeah, because

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Speaker 2: in this time they were still I think I talked

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Speaker 2: about this last podcast where like they were still putting

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Speaker 2: women against their wishes under general anesthesia for delivery right

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Speaker 2: and birth. Yeah, and birth was just like not a

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Speaker 2: thing that you talked about, discussed or showed in any

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Speaker 2: kind of quote unquote vulgar way.

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Speaker 5: Yeah.

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Speaker 3: And back then aliens weren't allowed to open credit cards

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Speaker 3: on their own, so like that was really fun change.

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Speaker 1: Yeah, yeah, wow, they put them under general anesthesia and

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Speaker 1: we're just like, yeah, so you're quiet during childbirth or

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Speaker 1: something like stop.

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Speaker 3: Your screaming, broad We could hear you from where we're

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Speaker 3: smoking our cigar.

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Speaker 1: Yeah, well, it seems like your mouth might know its

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Speaker 1: way around a word. We're gonna we're gonna ask that you, right,

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Speaker 1: I cant stop saying it. I'm sorry, all right.

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Speaker 2: And now I can't stop doing it. I'm just putting

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Speaker 2: my mouth all around around.

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Speaker 1: All right. We're gonna get to know you a little

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Speaker 1: bit better in the moments that our First, we're going

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Speaker 1: to tell the listeners a couple of the things we're

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Speaker 1: talking about. We're just gonna continue to talk about the debate,

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Speaker 1: the responses, what early, what the flash polls are saying. Also,

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Speaker 1: we are, of course, kind of talk about the new

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Speaker 1: season of Network TV show nine to one one, which

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Speaker 1: has a three part season premiere that I'm pretty excited about,

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Speaker 1: where bees form a tornado and attack Los Angeles. Oh

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Speaker 1: hell yes, yes, all of that plenty more. But first

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Speaker 1: are we do like to ask our guests what is

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Speaker 1: something from your search history that's revealing about who you are?

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Speaker 2: Okay, I asked my search history if one piece of

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Speaker 2: cheese and a pack of slice mozzarella cheeses has mold

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Speaker 2: on it, does that make them all bad?

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Speaker 1: Great question that has come up in my mind many

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Speaker 1: times and that I have never I've never bothered to

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Speaker 1: google it. I will tell you that much. I depending

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Speaker 1: on how much I want the cheese, I will either

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Speaker 1: throw the one piece away or throw the whole thing away.

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Speaker 1: But it's totally dependent on like how bad I need

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Speaker 1: cheese in that mine.

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Speaker 3: I know I was gonna say, it's dependent on like

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Speaker 3: how much money is in your bank account at that Yeah,

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Speaker 3: it's like what I am able to throw a whole

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Speaker 3: pack of cheese away. It's like you don't care about

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Speaker 3: your bank account, your neighbor's bank accounts. No one cares.

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Speaker 3: But like if you're like, oh, I can just eat

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Speaker 3: around it on this slice, like I can just cut

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Speaker 3: out the bad part of this life, then you're like

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Speaker 3: you're down bad. I'm so sorry.

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Speaker 1: So you're taking just the mold off the one slice?

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Speaker 3: Yeah, I mean, I mean that's to that point, you

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Speaker 3: know what I mean.

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Speaker 1: I mean smell test obviously, right, we're using the smell test.

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Speaker 1: If all the cheese smell bad, we're.

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Speaker 3: Probably victor of asking if they're individually wrapped. And I'm sorry, Victory,

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Speaker 3: that's a different tax bracket than what we're talking about.

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Speaker 3: If your Jesus individually wrapped talking about.

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Speaker 2: Craft singles, Victor, So now I understand.

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Speaker 3: What craft we're talking about. If it's hot. It's melting

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Speaker 3: together into one big.

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Speaker 6: Right.

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Speaker 2: I mean, typically I do the partner test where I

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Speaker 2: give it to my husband and watch him eat it

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Speaker 2: and just stare at him for a while and.

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Speaker 1: Just put him under a round the clock observation for

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Speaker 1: a couple of minutes.

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Speaker 3: That's what husbands are for. My dad would always eat

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Speaker 3: the leftover bad stuff.

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Speaker 5: Up.

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Speaker 3: We'd be like, I don't want it. I don't want it, mom,

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Speaker 3: and he'd be like, okay, give it to.

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Speaker 1: Me, my baby.

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Speaker 3: So I had to be like super for sure, for sure, Yeah,

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Speaker 3: we can take it.

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Speaker 1: We can take a little bit of bout.

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Speaker 3: I will say, I haven't told it, especially for like bread,

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Speaker 3: the spores spread and you should toss it. But I'm

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Speaker 3: also a big fan of eating questionable stuff and then

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Speaker 3: wondering if I have IBS for the rest of my life.

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Speaker 3: So I'm a.

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Speaker 1: Huge Then you have something to blame your IBS on

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Speaker 1: besides just your.

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Speaker 3: Anxiety, hot girl, And that's why I have IBS and

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Speaker 3: not design. Just like, don't pay attention to the mold

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Speaker 3: in my friend.

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Speaker 1: That's right. I like that. We just rushed past. Like

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Speaker 1: did Google have a satisfying answer of on this question?

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Speaker 2: It actually said everything that you guys just said. It

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Speaker 2: said you can either discard the moldy slice.

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Speaker 1: It was thanks Google, I didn't know, Yeah it is.

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Speaker 2: I wasted gallons of water.

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Speaker 3: You're throwing away gallons of water to figure out if

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Speaker 3: you should throw away a slice of cheese.

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Speaker 1: You definitely don't need to throw away craft Like if

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00:16:51,680 --> 00:16:53,800
Speaker 1: one gets moldy, you don't have to throw away the rest.

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Speaker 2: We're not talking about craft singles here. We're talking about

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Speaker 2: whole foods, organic.

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Speaker 1: Singles. Oh okay, sorry, sorry, cheese I'm aware of You're like.

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00:17:07,600 --> 00:17:09,360
Speaker 3: I don't understand what's other cheese?

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Speaker 1: What is something you think is underrated?

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Speaker 2: Okay? I stand by this baby talk. Baby talk, it's

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Speaker 2: hugely underweighted.

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Speaker 3: Okay. I don't know how I felt about. I was like,

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Speaker 3: I was like, it's cute because you talk to your

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Speaker 3: babies and maybe your dogs or your cats or whatever,

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Speaker 3: and that's a cute bot. And then when you said

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Speaker 3: it to me, I was like, oh, no, like this

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00:17:35,359 --> 00:17:39,400
Speaker 3: like this, I want to talk to everybody, like yes,

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Speaker 3: why do you sound like you're from New York when

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Speaker 3: you do?

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Speaker 2: I want to talk everybody.

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Speaker 3: My way I'm walking here.

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Speaker 1: Is a little bit like a South Park character is

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Speaker 1: supposed to be from New York.

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Speaker 2: Yeah, yeah, yeah, but so cute went up babies from

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Speaker 2: New York.

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Speaker 1: I'm just gonna move right along to what you're on

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Speaker 1: that one, I guess yeah, no, no, no, we all agree

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Speaker 1: that was underrated and great. What's what's ups overrated?

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00:18:19,000 --> 00:18:25,040
Speaker 2: Being old and having children hugely. Please don't wait for

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Speaker 2: your life, Zara.

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Speaker 3: You you're so young, Yeah, exactly. No, I'm not young

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Speaker 3: people twenties.

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00:18:33,400 --> 00:18:37,159
Speaker 2: Yet. I'm very out and clear about this because everyone

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Speaker 2: has been telling me. Everyone I know who's in their

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00:18:40,160 --> 00:18:42,879
Speaker 2: thirties and their twenties keep saying to me. Yeah, I

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00:18:42,920 --> 00:18:45,000
Speaker 2: was so stressed about my career choices. But then I

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Speaker 2: saw that you had a baby at forty three, and

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Speaker 2: I thought, I can wait. And I want to say

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00:18:49,840 --> 00:18:56,119
Speaker 2: to you, don't wait, don't be crazy. Just decide to

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00:18:56,119 --> 00:18:58,560
Speaker 2: get a surrogate. Just save up for that now. If

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00:18:58,560 --> 00:19:01,879
Speaker 2: it's important to you, save the hundreds of thousands of

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00:19:02,000 --> 00:19:08,600
Speaker 2: dollars of that or adopt, you should start that. Adoption

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00:19:08,720 --> 00:19:11,919
Speaker 2: is a long process, none of it, none of it

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00:19:12,000 --> 00:19:15,960
Speaker 2: that you undertake in the world of child rearing, other

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Speaker 2: than free sex babies for whoever gets to do that now.

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Speaker 1: For whoever gets to do that now.

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00:19:22,680 --> 00:19:24,480
Speaker 3: Yeah, you freat sex babies.

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Speaker 1: That's gonna be a long ass sciences like something that

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00:19:29,400 --> 00:19:32,120
Speaker 1: Trump would have said in the debate.

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00:19:32,160 --> 00:19:36,840
Speaker 3: Transgender illegal alien surgeries. Free sex babies for whoever gets

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Speaker 3: to do that.

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Speaker 1: Wow, free sex babies for whoever wants to do that now,

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Speaker 1: and we want.

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Speaker 3: And they will to them after none months.

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00:19:45,600 --> 00:19:46,240
Speaker 2: Oh my god.

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Speaker 3: I will say none of my family ever takes me

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00:19:48,760 --> 00:19:52,720
Speaker 3: seriously fair, fair, totally fair. But my brother one time

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Speaker 3: when he was walking with my nephew like strapped to

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Speaker 3: his chest, he was doing like his daily walk or whatever,

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Speaker 3: and he was like, are you guy, I was thinking

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Speaker 3: about having kids because if I because he got a

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Speaker 3: house and then a child. He was like, I would

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00:20:05,359 --> 00:20:07,240
Speaker 3: have done it backwards. I would have had the kid first.

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Speaker 3: I don't care where I was living. I would have

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Speaker 3: just had the kid. It's so tiring. I'm soaring And

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Speaker 3: ye had just kid when he was like thirty seven,

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Speaker 3: so like that's even really He's like, I would have

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Speaker 3: done it sooner. I'm so tired.

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Speaker 2: Well, and you know what else, because like I just

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00:20:24,800 --> 00:20:27,080
Speaker 2: feel like in the United States people don't have like

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00:20:27,160 --> 00:20:30,840
Speaker 2: real conversation anymore. We just have like cult culture conversation.

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Speaker 3: It's just interesting. That is rat Yeah you thank you.

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00:20:40,800 --> 00:20:43,959
Speaker 1: That point is so brat. It is about how we

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00:20:44,000 --> 00:20:47,880
Speaker 1: only how we like cram pop culture into like important conversations.

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00:20:48,119 --> 00:20:53,560
Speaker 1: Saying that is so brat. So what, Oh my god, Sorry,

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00:20:53,720 --> 00:20:56,000
Speaker 1: I'm end of this episode.

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00:20:57,680 --> 00:20:59,720
Speaker 3: I had the Daily Zeitgeist in general.

382
00:21:00,280 --> 00:21:02,600
Speaker 1: This is the last episode of our podcast.

383
00:21:04,480 --> 00:21:06,159
Speaker 3: It's the last episode.

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00:21:06,840 --> 00:21:09,520
Speaker 1: Sorry, this is the last episode of our podcast.

385
00:21:14,160 --> 00:21:20,240
Speaker 2: We can sell like Elmer Fudd. It's true, no, okay,

386
00:21:20,880 --> 00:21:25,920
Speaker 2: I had. We tried to have an IBF baby, which

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00:21:25,960 --> 00:21:30,840
Speaker 2: is extremely expensive, tens of thousands of dollars expensive, and

388
00:21:30,920 --> 00:21:34,560
Speaker 2: it failed and we had my baby. But it's still like,

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00:21:35,240 --> 00:21:40,679
Speaker 2: I know very clearly that it's the IVF hormones and

390
00:21:40,800 --> 00:21:44,520
Speaker 2: process that supported me and having my quote unquote free

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00:21:44,520 --> 00:21:46,160
Speaker 2: sex baby. Like it definitely was.

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00:21:46,119 --> 00:21:48,919
Speaker 1: That a free experience gets to do that.

393
00:21:48,960 --> 00:21:54,000
Speaker 2: Now, we tried for three years, nothing happened, and then after.

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00:21:54,160 --> 00:21:57,000
Speaker 3: If that with the sex, you guys got to come.

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00:21:56,840 --> 00:22:01,160
Speaker 2: A lot, right, It's true.

396
00:22:01,400 --> 00:22:04,560
Speaker 3: That's really hard though, that's like a heart process.

397
00:22:05,320 --> 00:22:08,160
Speaker 2: I say all this just because I feel like in

398
00:22:08,200 --> 00:22:15,360
Speaker 2: our culture of CULTI conversation it's we never can't down

399
00:22:16,040 --> 00:22:20,000
Speaker 2: just what the fuck stuff costs and how you're gonna

400
00:22:20,040 --> 00:22:22,399
Speaker 2: mesibly do it, you know what I mean? Like, no

401
00:22:22,400 --> 00:22:25,880
Speaker 2: one's talking about retirement, even though it's like terrifying out there.

402
00:22:26,200 --> 00:22:27,520
Speaker 2: Nobody's talking about how.

403
00:22:27,400 --> 00:22:31,640
Speaker 3: You die of natural disasters because of climate change. That's

404
00:22:31,680 --> 00:22:32,680
Speaker 3: my retire What I'm.

405
00:22:32,600 --> 00:22:34,280
Speaker 2: Saying is like how am I supposed to pay for

406
00:22:34,400 --> 00:22:36,840
Speaker 2: like solar and the down payment to a house in

407
00:22:36,880 --> 00:22:40,439
Speaker 2: California and my kids education because you know, hopefully they

408
00:22:40,440 --> 00:22:43,840
Speaker 2: don't get shot at school, and also figure out my

409
00:22:44,000 --> 00:22:48,199
Speaker 2: retirement all at the same, all at one time like

410
00:22:48,240 --> 00:22:50,240
Speaker 2: that you have to do that all at one time

411
00:22:50,320 --> 00:22:53,080
Speaker 2: when you have your babies in your late thirties and

412
00:22:53,160 --> 00:22:56,399
Speaker 2: early forties. Is a fun accounting experiment.

413
00:22:57,000 --> 00:22:59,320
Speaker 1: Yeah, it's tough out there.

414
00:22:59,359 --> 00:23:00,960
Speaker 2: I just really ruined everyone's day.

415
00:23:01,040 --> 00:23:06,960
Speaker 3: What a blessings, the.

416
00:23:06,920 --> 00:23:10,240
Speaker 1: Great impression of the of the mom not listening at all,

417
00:23:10,600 --> 00:23:14,639
Speaker 1: just bringing bringing the vibes. What a miracle, What a

418
00:23:14,680 --> 00:23:21,320
Speaker 1: little blessing. Wow, I'm an immense debt. What a little blessing,

419
00:23:21,440 --> 00:23:23,880
Speaker 1: And what a blessing debt is because it's just kind

420
00:23:23,880 --> 00:23:28,720
Speaker 1: of you know, discomfort brings us into our own bodies yes,

421
00:23:30,119 --> 00:23:32,600
Speaker 1: all right, let's take a quick break and we'll come

422
00:23:32,600 --> 00:23:39,480
Speaker 1: back and we'll get together, get ourselves together, and we

423
00:23:39,520 --> 00:23:42,959
Speaker 1: will respond to the debate. Uh, and the fallout from

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00:23:43,000 --> 00:23:49,520
Speaker 1: the debate in baby talk, we will be white black, white, black,

425
00:24:00,920 --> 00:24:13,080
Speaker 1: and we're black. And everybody watched the debate, Yeah.

426
00:24:07,720 --> 00:24:07,800
Speaker 3: To.

427
00:24:10,320 --> 00:24:14,000
Speaker 1: Watch it, rewatch. It didn't actually take in any Twitter commentary,

428
00:24:14,119 --> 00:24:18,240
Speaker 1: made my own judgments. Uh, and I'm still an undecided voter.

429
00:24:18,640 --> 00:24:18,720
Speaker 7: No.

430
00:24:18,880 --> 00:24:22,640
Speaker 1: I keep saying this because the New York Times the headline.

431
00:24:22,680 --> 00:24:26,080
Speaker 1: So if you go to that, like conservative places like

432
00:24:26,119 --> 00:24:28,720
Speaker 1: the Drudge Report, their response was like, oh my god,

433
00:24:28,760 --> 00:24:30,919
Speaker 1: Trump totally tanked that. You go to the New York Times,

434
00:24:31,080 --> 00:24:38,679
Speaker 1: They're like, some may think Trump lost that debate. Undecided voters, Yeah,

435
00:24:38,960 --> 00:24:45,239
Speaker 1: undecided voters less certain. And then this yesterday morning, they

436
00:24:45,320 --> 00:24:51,280
Speaker 1: published this episode of their podcast that perfectly crystallized why

437
00:24:51,320 --> 00:24:55,240
Speaker 1: I think their obsession with undecided voters is so funny.

438
00:24:55,680 --> 00:24:55,800
Speaker 8: Uh.

439
00:24:56,200 --> 00:24:59,040
Speaker 1: They well, so, first of all, immediately after they had

440
00:24:59,040 --> 00:25:02,080
Speaker 1: their five they I have just these five people who

441
00:25:02,119 --> 00:25:06,959
Speaker 1: are undecided. One of them is undecided because they're not

442
00:25:07,160 --> 00:25:10,280
Speaker 1: paying attention to the election and keep being like, I

443
00:25:10,280 --> 00:25:13,879
Speaker 1: don't know, man, I'm like not into politics, leave me alone.

444
00:25:14,240 --> 00:25:19,240
Speaker 1: But yeah, that that is like one of their talking

445
00:25:19,320 --> 00:25:21,920
Speaker 1: heads about the election that they keep coming back.

446
00:25:21,680 --> 00:25:24,120
Speaker 3: To, interesting, what a miracle?

447
00:25:24,840 --> 00:25:28,320
Speaker 1: And then they have what a miracle? Such a blessing

448
00:25:29,960 --> 00:25:34,439
Speaker 1: even talking about. So they also drop this episode of

449
00:25:34,440 --> 00:25:38,239
Speaker 1: their podcast, uh the run Up where they literally go

450
00:25:38,359 --> 00:25:43,879
Speaker 1: to jd Vance's hometown uh and a watch party. You know,

451
00:25:44,000 --> 00:25:48,080
Speaker 1: they throw a watch party for two people who are undecided.

452
00:25:48,160 --> 00:25:51,640
Speaker 1: So they're like buying. They're rewarding these people who are

453
00:25:52,080 --> 00:25:56,399
Speaker 1: somehow still undecided about what they think about Donald Trump.

454
00:25:56,680 --> 00:26:01,959
Speaker 1: They're like bringing them snacks and food to like throwing

455
00:26:02,000 --> 00:26:10,159
Speaker 1: a little party for that. It's so beneficial to be

456
00:26:10,680 --> 00:26:15,760
Speaker 1: undecided somehow. Like you can hear them the person like

457
00:26:15,920 --> 00:26:18,400
Speaker 1: thanking the New York Times for the snacks they brought.

458
00:26:18,400 --> 00:26:20,119
Speaker 1: They're like, oh, you brought the red ones. I couldn't

459
00:26:20,119 --> 00:26:23,800
Speaker 1: find them. Thank you so much. I love them. And

460
00:26:23,840 --> 00:26:27,280
Speaker 1: then they interview them and the husband is like full

461
00:26:27,359 --> 00:26:32,240
Speaker 1: Trump voter and the woman is leaning Trump. And then

462
00:26:32,920 --> 00:26:36,800
Speaker 1: just like the interview, the person's finally like, okay, so

463
00:26:37,119 --> 00:26:40,520
Speaker 1: what is Trump's because she keeps being like, yeah, she

464
00:26:40,640 --> 00:26:43,160
Speaker 1: was good on this, she was good on this. I'm

465
00:26:43,320 --> 00:26:46,520
Speaker 1: a pro choice. Uh, and the person's like, Okay, so

466
00:26:46,600 --> 00:26:52,400
Speaker 1: what is Trump's biggest plus for you? And she's like, huh,

467
00:26:52,880 --> 00:26:59,480
Speaker 1: he does seem to want to better immigration. Oh wow,

468
00:27:00,200 --> 00:27:03,840
Speaker 1: that's not a big issue for me. But it's his

469
00:27:04,040 --> 00:27:07,399
Speaker 1: biggest talking point and it can't be denied and it

470
00:27:07,400 --> 00:27:11,520
Speaker 1: can't be ignored. So it's just like racism. It's just

471
00:27:11,560 --> 00:27:14,280
Speaker 1: like that. It's just all like he's willing to be

472
00:27:14,440 --> 00:27:18,760
Speaker 1: racist in public essentially, and they are, yeah, and they

473
00:27:18,840 --> 00:27:22,840
Speaker 1: are willing to, you know, go and throw a party

474
00:27:22,880 --> 00:27:25,840
Speaker 1: for these people so that they will like talk on

475
00:27:25,880 --> 00:27:26,359
Speaker 1: the record.

476
00:27:26,600 --> 00:27:29,960
Speaker 3: But have you considered that he is running against someone

477
00:27:29,960 --> 00:27:33,159
Speaker 3: who is black and Indian? Have you considered that maybe

478
00:27:33,160 --> 00:27:36,720
Speaker 3: that's dissuading her. Maybe it's not whatever you just said.

479
00:27:38,280 --> 00:27:41,160
Speaker 2: What if the White House smells like delicious.

480
00:27:40,640 --> 00:27:44,840
Speaker 1: Food right in the White House?

481
00:27:44,880 --> 00:27:46,360
Speaker 2: Again, what are we gonna do?

482
00:27:47,720 --> 00:27:49,919
Speaker 3: We're gonna take our spices.

483
00:27:51,400 --> 00:27:53,880
Speaker 1: So there's a Twitter account called Decoding fox News at

484
00:27:53,880 --> 00:27:58,680
Speaker 1: decoding fox News and they put together a fun little

485
00:27:58,720 --> 00:28:03,879
Speaker 1: real of first like a quick cut together of the

486
00:28:04,040 --> 00:28:08,000
Speaker 1: vibes before the debate where they're all just like, here's

487
00:28:08,040 --> 00:28:11,399
Speaker 1: what's gonna happen. Trump's about to fucking mop the floor

488
00:28:12,320 --> 00:28:15,399
Speaker 1: and then right after. So I just thought this was

489
00:28:15,520 --> 00:28:16,560
Speaker 1: kind of helpful.

490
00:28:17,000 --> 00:28:19,080
Speaker 3: I just love that they're so dumb that they would

491
00:28:19,080 --> 00:28:21,359
Speaker 3: think that, But like, I know that they have to

492
00:28:21,400 --> 00:28:23,200
Speaker 3: say it, but I do think some of them are

493
00:28:23,240 --> 00:28:26,160
Speaker 3: genuinely surprised every time he disappoints them, And that's really

494
00:28:26,160 --> 00:28:29,040
Speaker 3: funny to me, right, I.

495
00:28:28,920 --> 00:28:32,800
Speaker 2: Mean, it's all bizarre to me because he was very

496
00:28:32,840 --> 00:28:35,800
Speaker 2: disappointing the first time with.

497
00:28:35,680 --> 00:28:39,680
Speaker 1: Biden, just in general as a president.

498
00:28:39,640 --> 00:28:42,960
Speaker 2: Yeah, in general as a president, and then also with Biden,

499
00:28:43,120 --> 00:28:48,360
Speaker 2: he was already like ranting and out there and not

500
00:28:48,560 --> 00:28:51,760
Speaker 2: making any coherent sense because he was just like a racist,

501
00:28:51,960 --> 00:28:58,680
Speaker 2: ranting lunatic. But like now Republicans are, like, you know,

502
00:28:58,760 --> 00:29:01,400
Speaker 2: I really am seeing him differently, Like what are you

503
00:29:01,520 --> 00:29:06,360
Speaker 2: talking about? Like nothing actually has changed, It's just whatever

504
00:29:07,120 --> 00:29:11,920
Speaker 2: gigantic media conglomerate is going to acknowledge it is.

505
00:29:11,840 --> 00:29:15,200
Speaker 1: Now yeah yeah, yeah, And the New York Times is

506
00:29:15,320 --> 00:29:19,400
Speaker 1: doing their best to not acknowledge it by filtering everything

507
00:29:19,520 --> 00:29:22,040
Speaker 1: through the eyes of somebody who's planning to vote for Trump.

508
00:29:22,120 --> 00:29:25,440
Speaker 1: But Fox News is I thought this was just kind

509
00:29:25,480 --> 00:29:29,360
Speaker 1: of informative to see vibes before vibes after. So we'll

510
00:29:29,400 --> 00:29:30,600
Speaker 1: just skip around here a little bit.

511
00:29:30,960 --> 00:29:34,120
Speaker 9: You say, debates maybe don't move the needle that much

512
00:29:34,160 --> 00:29:36,280
Speaker 9: in the big picture. This one seems like it's bigger.

513
00:29:37,000 --> 00:29:39,200
Speaker 9: But I think on the getting under his skin point,

514
00:29:39,440 --> 00:29:42,120
Speaker 9: that's really her only card to play. I didn't say

515
00:29:42,120 --> 00:29:45,040
Speaker 9: what his advice was, but it is so stunning. And

516
00:29:45,080 --> 00:29:48,760
Speaker 9: you saw that timeline piece seventy five days ago. We're

517
00:29:48,800 --> 00:29:52,240
Speaker 9: on this set watching him come out for that first

518
00:29:52,240 --> 00:29:54,520
Speaker 9: debate and the entire race changed.

519
00:29:54,600 --> 00:29:56,560
Speaker 1: You're on set, all of us. The last time there

520
00:29:56,640 --> 00:29:58,720
Speaker 1: was going to be a big Jessie Waters. It's unmiked

521
00:29:58,760 --> 00:29:59,440
Speaker 1: for some reason.

522
00:29:59,440 --> 00:30:02,000
Speaker 6: At first for the debate, I said, I don't think

523
00:30:02,120 --> 00:30:03,400
Speaker 6: this debate's going to change much.

524
00:30:04,920 --> 00:30:06,840
Speaker 1: Thanks, So, I don't know if you really want to

525
00:30:06,840 --> 00:30:09,160
Speaker 1: hear what I have to say. Give it a shot,

526
00:30:09,200 --> 00:30:09,840
Speaker 1: Give it a shot.

527
00:30:10,320 --> 00:30:12,840
Speaker 6: This is going to be so unpredictable because both of

528
00:30:12,880 --> 00:30:16,680
Speaker 6: these people can self destruct. We've seen Trump blow himself up.

529
00:30:17,000 --> 00:30:20,360
Speaker 6: You've seen Kamala blow herself up and just wander around

530
00:30:20,440 --> 00:30:23,040
Speaker 6: and search for things to say and maybe land it.

531
00:30:23,120 --> 00:30:25,400
Speaker 6: Are they going to fact check Trump live? If you

532
00:30:25,400 --> 00:30:28,400
Speaker 6: had said ten years ago the Democrat nominee would support that,

533
00:30:28,760 --> 00:30:30,040
Speaker 6: I would have said you were cuckoo.

534
00:30:30,280 --> 00:30:31,680
Speaker 8: I have a feeling that he'll come out of this

535
00:30:31,920 --> 00:30:34,640
Speaker 8: debate in about the same position with the public that

536
00:30:34,680 --> 00:30:36,680
Speaker 8: he that he holds going into it.

537
00:30:36,800 --> 00:30:39,280
Speaker 7: So you have to assume that he won't be bellicos

538
00:30:39,360 --> 00:30:40,080
Speaker 7: and pugnacious.

539
00:30:40,200 --> 00:30:43,120
Speaker 1: So you have to assume he won't be bell pugnacious.

540
00:30:43,120 --> 00:30:46,640
Speaker 1: And then they bring in Sean Hannity. Here comes Hannity say,

541
00:30:46,840 --> 00:30:48,920
Speaker 1: just laying down like this is what we think his

542
00:30:49,040 --> 00:30:51,640
Speaker 1: challenges are and how we think he'll do with those challenges.

543
00:30:51,720 --> 00:30:53,880
Speaker 10: Tamala Harris tries to make him angry, not to get

544
00:30:53,920 --> 00:30:57,480
Speaker 10: angry and how to get angry, stays calm. I think

545
00:30:57,760 --> 00:31:00,640
Speaker 10: it could definitely be a big night for I think

546
00:31:00,840 --> 00:31:03,320
Speaker 10: that she will be able to rattle him in any way.

547
00:31:04,120 --> 00:31:05,520
Speaker 3: I would argue right now.

548
00:31:05,440 --> 00:31:08,440
Speaker 10: The chance is zero points zero zero one percent.

549
00:31:09,240 --> 00:31:13,720
Speaker 3: So I like that he's genuinely That's the reason they're

550
00:31:13,760 --> 00:31:15,920
Speaker 3: discussing that is because they are afraid he's going to

551
00:31:16,000 --> 00:31:16,800
Speaker 3: lose his shit.

552
00:31:17,080 --> 00:31:22,200
Speaker 1: Right, they're afraid. But Hannity is laying the odds that

553
00:31:22,280 --> 00:31:26,000
Speaker 1: she's able to do that at a pretty startling zero

554
00:31:26,200 --> 00:31:29,720
Speaker 1: point zero zero one percent that she will be able

555
00:31:29,760 --> 00:31:35,200
Speaker 1: to rattle him at all, and then post debate, Yeah,

556
00:31:35,480 --> 00:31:41,400
Speaker 1: people seem a little less confident and sure of how

557
00:31:41,400 --> 00:31:42,120
Speaker 1: that went for him.

558
00:31:42,160 --> 00:31:44,560
Speaker 9: President Trump did take a lot of the bait that

559
00:31:44,640 --> 00:31:47,080
Speaker 9: she threw out in some of those answers.

560
00:31:46,840 --> 00:31:49,680
Speaker 11: Have to be said that she was really never held

561
00:31:49,960 --> 00:31:54,120
Speaker 11: to the fire. She was not pressed by the moderators

562
00:31:54,240 --> 00:31:57,720
Speaker 11: on her past positions and how she got from a

563
00:31:58,280 --> 00:32:01,880
Speaker 11: very progressive, most progressive senate her to where she is now.

564
00:32:02,640 --> 00:32:04,120
Speaker 11: And that falls on ABC.

565
00:32:04,480 --> 00:32:07,360
Speaker 1: So then we get to Breed Hume, who went in saying, like,

566
00:32:07,400 --> 00:32:09,520
Speaker 1: I think he's going to be fine. I don't see

567
00:32:09,560 --> 00:32:12,440
Speaker 1: this debate mattering much or that like I think they'll

568
00:32:12,520 --> 00:32:13,320
Speaker 1: They'll both be fine.

569
00:32:13,360 --> 00:32:14,440
Speaker 8: Make no mistake about it.

570
00:32:14,640 --> 00:32:16,000
Speaker 1: Trump had a bad night oop.

571
00:32:16,440 --> 00:32:19,960
Speaker 8: He rose to debate repeatedly when she beated him, something

572
00:32:20,040 --> 00:32:22,440
Speaker 8: I'm sure his advisors had begged him not to do.

573
00:32:23,480 --> 00:32:25,560
Speaker 8: You know, in the first debate when Biden attacked him,

574
00:32:25,960 --> 00:32:28,920
Speaker 8: he just kept as cool and kept going. And in

575
00:32:29,000 --> 00:32:30,880
Speaker 8: this debate he rose to a debate. He and we

576
00:32:31,000 --> 00:32:33,440
Speaker 8: heard so many of the old grievances that that we

577
00:32:33,640 --> 00:32:36,240
Speaker 8: long thought that Trump had learned were not winners politically.

578
00:32:36,400 --> 00:32:39,440
Speaker 10: The biggest loser in the debate, and we talked about

579
00:32:39,440 --> 00:32:42,120
Speaker 10: this pre debate is ABC.

580
00:32:42,040 --> 00:32:45,800
Speaker 7: Got reaction from Republican friends. The two common things were

581
00:32:45,880 --> 00:32:48,920
Speaker 7: train wreck and he needs this to end. I've never

582
00:32:48,960 --> 00:32:51,560
Speaker 7: heard Donald Trump not be definitive about a set of points.

583
00:32:51,560 --> 00:32:53,760
Speaker 7: He said, I have concepts of a plan.

584
00:32:54,120 --> 00:32:55,000
Speaker 2: Oh my god.

585
00:32:55,720 --> 00:32:58,400
Speaker 1: So this is Fox News and they're like, yeah, I'm

586
00:32:58,400 --> 00:33:02,320
Speaker 1: getting text messages, so obviously they have their talking points

587
00:33:02,320 --> 00:33:04,440
Speaker 1: of like what they want to say. ABC News did

588
00:33:04,520 --> 00:33:08,120
Speaker 1: bad job. But then they're like, but people are using

589
00:33:08,160 --> 00:33:12,479
Speaker 1: words like train wreck and how do I make stop?

590
00:33:12,600 --> 00:33:16,960
Speaker 3: For Trump, I loved the concept of a plan thing.

591
00:33:17,200 --> 00:33:19,080
Speaker 3: I love that so much because we can all relate

592
00:33:19,120 --> 00:33:22,440
Speaker 3: to that. Like that is very la, that is very like, yeah,

593
00:33:22,520 --> 00:33:24,360
Speaker 3: I have a concept of a plan. That's like what

594
00:33:24,440 --> 00:33:26,720
Speaker 3: Stuffian Stevens said when he was like, I'm gonna make

595
00:33:26,760 --> 00:33:28,840
Speaker 3: albums about every fifty states, you know what I mean,

596
00:33:29,320 --> 00:33:31,080
Speaker 3: all the fifty states. I have a concept of a

597
00:33:31,120 --> 00:33:34,240
Speaker 3: plan for it. Which I love that. That is so

598
00:33:34,240 --> 00:33:34,720
Speaker 3: so good.

599
00:33:35,120 --> 00:33:37,240
Speaker 1: It is so good. It also does seem to be

600
00:33:37,480 --> 00:33:40,760
Speaker 1: uh probably checking in with our undecided voters on the

601
00:33:40,760 --> 00:33:43,080
Speaker 1: New York Times, that does seem to be a point

602
00:33:43,200 --> 00:33:46,240
Speaker 1: that really stuck with people where they were like, because

603
00:33:46,280 --> 00:33:49,240
Speaker 1: like one of the arguments people have like given themselves

604
00:33:49,280 --> 00:33:52,240
Speaker 1: for like how they can justify voting for Trump was

605
00:33:52,240 --> 00:33:56,040
Speaker 1: that like, well, he's definitive, he's a decider. He fired

606
00:33:56,080 --> 00:33:59,400
Speaker 1: all those people on the TV, so he's like a

607
00:33:59,480 --> 00:34:03,560
Speaker 1: definitive person, and that line really fucked with people. The

608
00:34:03,600 --> 00:34:05,840
Speaker 1: other thing they really seemed to respond to in the

609
00:34:05,960 --> 00:34:08,360
Speaker 1: very small sample size that the New York Times uses

610
00:34:08,680 --> 00:34:11,560
Speaker 1: is like her going up and introducing herself, They're like, damn,

611
00:34:12,000 --> 00:34:15,239
Speaker 1: that was very assertive and cool of her.

612
00:34:16,080 --> 00:34:19,719
Speaker 3: That's like, I think that's like an example of like

613
00:34:19,880 --> 00:34:22,560
Speaker 3: how people because we were talking about like who they're

614
00:34:22,560 --> 00:34:26,680
Speaker 3: going to side with whenever, however the wind blows or whatever,

615
00:34:26,840 --> 00:34:29,759
Speaker 3: but it's literally whoever looks more powerful, because that's what

616
00:34:29,880 --> 00:34:33,080
Speaker 3: like the Republicans are all about, is power. So it's

617
00:34:33,360 --> 00:34:35,840
Speaker 3: when going in they're like, oh, like he's going to

618
00:34:35,880 --> 00:34:38,440
Speaker 3: look more powerful whatever, that's all we care about, and

619
00:34:38,480 --> 00:34:40,520
Speaker 3: then coming out they're like, oh, she actually did look

620
00:34:40,600 --> 00:34:43,120
Speaker 3: more powerful, and like she's like laughing at him, but

621
00:34:43,239 --> 00:34:46,000
Speaker 3: like not too much or whatever. She had like those

622
00:34:46,040 --> 00:34:49,239
Speaker 3: lines about how eighty million people fired him, she did.

623
00:34:49,320 --> 00:34:51,799
Speaker 3: Like there were times where I was like, she is

624
00:34:52,160 --> 00:34:54,560
Speaker 3: kind of attacking him when she needs to talk more policy.

625
00:34:55,400 --> 00:34:59,960
Speaker 3: But she did come out looking stronger than him. Yeah,

626
00:35:00,080 --> 00:35:02,720
Speaker 3: especially when he was able to be so easily baited

627
00:35:02,760 --> 00:35:05,520
Speaker 3: about his rally numbers and all of that shit, Like

628
00:35:05,560 --> 00:35:07,480
Speaker 3: he just looked weak as hell, and they will let

629
00:35:07,520 --> 00:35:11,080
Speaker 3: it go. Yeah, and that's what rattles like Fox News.

630
00:35:11,120 --> 00:35:14,120
Speaker 3: They're like, I thought he's a winner. We don't like losers,

631
00:35:15,480 --> 00:35:15,759
Speaker 3: so that.

632
00:35:17,640 --> 00:35:21,880
Speaker 1: Yeah, I just like this moment where they're like Jesse Waters,

633
00:35:22,000 --> 00:35:24,920
Speaker 1: our number one person who has told us dringing out

634
00:35:24,920 --> 00:35:29,200
Speaker 1: of straws and eating soup is for beta males. What

635
00:35:29,200 --> 00:35:31,319
Speaker 1: what do you say? What say you, sir?

636
00:35:31,840 --> 00:35:34,080
Speaker 6: I don't think the American people are watching and thinking

637
00:35:34,120 --> 00:35:35,239
Speaker 6: any of these people won.

638
00:35:36,800 --> 00:35:40,680
Speaker 1: I don't think the American people these people won.

639
00:35:42,000 --> 00:35:44,760
Speaker 2: It's a good impression, but didn't have like a rhythm.

640
00:35:45,200 --> 00:35:48,040
Speaker 1: Yeah, so that was the general vibes is like somewhere

641
00:35:48,080 --> 00:35:50,839
Speaker 1: between God, that was a bad look for our guy,

642
00:35:51,480 --> 00:35:55,640
Speaker 1: and I don't think anybody watching. That didn't to anybody want.

643
00:35:55,880 --> 00:35:58,200
Speaker 3: Trump did come on to Fox News and he was

644
00:35:58,320 --> 00:36:01,000
Speaker 3: like he kept saying that all the polls that he

645
00:36:01,080 --> 00:36:03,200
Speaker 3: won like ninety to ten, eighty to twenty like what

646
00:36:03,360 --> 00:36:05,200
Speaker 3: he was like, we said, and then he was like,

647
00:36:05,280 --> 00:36:09,479
Speaker 3: we sent over poles to you and you can check them.

648
00:36:09,840 --> 00:36:12,480
Speaker 3: All of the polls we sent you basically said that

649
00:36:12,520 --> 00:36:12,920
Speaker 3: we won.

650
00:36:13,520 --> 00:36:15,680
Speaker 1: Yes, So yeah, I want to get to that moment

651
00:36:15,719 --> 00:36:18,239
Speaker 1: where he just came out to do the spin room

652
00:36:18,280 --> 00:36:21,880
Speaker 1: stuff because and seemed to be just saying numbers at random.

653
00:36:22,600 --> 00:36:26,879
Speaker 1: But just in response to the I don't think any

654
00:36:26,920 --> 00:36:30,600
Speaker 1: American people saw that, I think anybody won. Washington Post

655
00:36:31,239 --> 00:36:34,920
Speaker 1: reported that a you gov poll showed Kamala one fifty

656
00:36:34,920 --> 00:36:38,840
Speaker 1: four to thirty one from people. CNN had her winning

657
00:36:39,000 --> 00:36:43,480
Speaker 1: sixty three to thirty seven percent. Like when you think

658
00:36:43,520 --> 00:36:48,480
Speaker 1: about how evenly divided, like it's a meme that, like,

659
00:36:49,480 --> 00:36:51,439
Speaker 1: you know, one of the sides seems to be free

660
00:36:51,440 --> 00:36:56,000
Speaker 1: puppies for everyone, the other side seems to be diarrhea forever,

661
00:36:56,239 --> 00:36:59,359
Speaker 1: and it's like fifty one to fifty percent. We have

662
00:36:59,440 --> 00:37:04,040
Speaker 1: it like and neck. It's just wild how close every

663
00:37:04,080 --> 00:37:07,960
Speaker 1: single presidential election is Obama over McCain, which is like

664
00:37:08,320 --> 00:37:11,759
Speaker 1: the last time there was anything described as a landslide,

665
00:37:12,440 --> 00:37:15,239
Speaker 1: Obama got fifty two percent of the vote, So like

666
00:37:15,360 --> 00:37:19,960
Speaker 1: that's a massive landslide. So just like those types of

667
00:37:20,040 --> 00:37:24,799
Speaker 1: numbers in response to the debate are pretty staggering that

668
00:37:24,840 --> 00:37:27,280
Speaker 1: it would be sixty three to thirty seven. Also, thirty

669
00:37:27,320 --> 00:37:31,160
Speaker 1: one percent of Trump supporters said he lost, wow.

670
00:37:30,960 --> 00:37:33,680
Speaker 3: Which is but they don't care, but they don't there

671
00:37:34,320 --> 00:37:34,640
Speaker 3: not that.

672
00:37:34,600 --> 00:37:38,200
Speaker 1: They're changing anything. Yeah, but that is, you know, I

673
00:37:38,239 --> 00:37:42,759
Speaker 1: think noteworthy. So it's just funny in comparison with the

674
00:37:42,840 --> 00:37:46,799
Speaker 1: moment after the debate where Trump came out and he

675
00:37:47,000 --> 00:37:50,200
Speaker 1: first of all, he's unmiked for some reason, and he's

676
00:37:50,280 --> 00:37:55,120
Speaker 1: just yelling at reporters. We had a great debate. I won, clearly.

677
00:37:55,320 --> 00:38:00,480
Speaker 1: I'm getting polling eighty six. Some are saying ninety two.

678
00:38:00,520 --> 00:38:02,120
Speaker 1: I've heard the number eighty two.

679
00:38:02,680 --> 00:38:06,120
Speaker 3: That's like, how old we think he is.

680
00:38:06,280 --> 00:38:08,920
Speaker 1: I was wondering because they were in Philadelphia. I was

681
00:38:08,960 --> 00:38:11,239
Speaker 1: wondering if he was like looking at the last time,

682
00:38:11,600 --> 00:38:14,359
Speaker 1: like at the banners in the arena at the last

683
00:38:14,400 --> 00:38:18,080
Speaker 1: time the seventy six ers, like won anything was like

684
00:38:18,280 --> 00:38:22,280
Speaker 1: the eighties sports jokes self phoned for a self loathing

685
00:38:22,320 --> 00:38:25,440
Speaker 1: Sixers fan. But yeah, I don't know. I guess it

686
00:38:25,560 --> 00:38:29,120
Speaker 1: wasn't a total Kaisersos situation. There was. There was a

687
00:38:29,160 --> 00:38:34,600
Speaker 1: fair and balanced Newsmax snap poll of people who were

688
00:38:34,600 --> 00:38:38,360
Speaker 1: on Newsmax during the debate and ninety three percent of

689
00:38:38,400 --> 00:38:39,680
Speaker 1: them said he won.

690
00:38:40,000 --> 00:38:42,840
Speaker 2: So I will say something that is kind of surprising

691
00:38:42,880 --> 00:38:45,399
Speaker 2: to me this election just even going into it at all,

692
00:38:46,440 --> 00:38:51,840
Speaker 2: is how underfunded and just not at all funded. A

693
00:38:51,920 --> 00:38:57,319
Speaker 2: lot of graphic design and artistic messaging is going into

694
00:38:57,320 --> 00:38:57,840
Speaker 2: the election.

695
00:38:58,320 --> 00:39:02,359
Speaker 1: It is wild how little money that we were talking

696
00:39:02,400 --> 00:39:05,640
Speaker 1: on yesterday's episode, Andrew t was on and he was

697
00:39:05,680 --> 00:39:10,160
Speaker 1: talking about how it is mind boggling how bad Elon

698
00:39:10,320 --> 00:39:13,960
Speaker 1: Musk is at posting when he has enough money to

699
00:39:14,200 --> 00:39:20,479
Speaker 1: hot just hire away the entire Abbott Elementary writers room. Yeah,

700
00:39:20,520 --> 00:39:22,879
Speaker 1: to write every single one of his tweets for him,

701
00:39:23,160 --> 00:39:23,879
Speaker 1: like he could.

702
00:39:24,080 --> 00:39:26,400
Speaker 2: He's a narcissist, He's not going to do yeah.

703
00:39:26,239 --> 00:39:29,400
Speaker 1: I know, but like, yeah, the amount that they could

704
00:39:29,440 --> 00:39:33,160
Speaker 1: put into content, and yet they like the graphic design,

705
00:39:33,400 --> 00:39:35,680
Speaker 1: like you're saying, any of the writing.

706
00:39:36,280 --> 00:39:39,319
Speaker 3: Jason Derulo on TikTok where they had like remember how

707
00:39:39,360 --> 00:39:42,400
Speaker 3: he just like went from doing he the reason he

708
00:39:42,440 --> 00:39:44,840
Speaker 3: became like he had this big like leap again in

709
00:39:44,880 --> 00:39:48,200
Speaker 3: popularity was because he was like hiring camera crews to

710
00:39:48,320 --> 00:39:49,520
Speaker 3: make his thoughts.

711
00:39:50,040 --> 00:39:50,480
Speaker 1: Yeah.

712
00:39:50,520 --> 00:39:53,000
Speaker 2: Well, and then even on the nonprofit scale, like in

713
00:39:53,040 --> 00:39:55,880
Speaker 2: my world, where we have like, you know, groups of

714
00:39:55,880 --> 00:39:58,759
Speaker 2: nonprofits that come and like ask comedians to like put

715
00:39:58,760 --> 00:40:01,560
Speaker 2: together a thing or artists to put together a thing.

716
00:40:01,560 --> 00:40:04,680
Speaker 2: It's just not happening on the same scale, anywhere near

717
00:40:04,719 --> 00:40:07,880
Speaker 2: the same scale as previous elections. Plural.

718
00:40:08,560 --> 00:40:11,840
Speaker 1: Yeah, they're like we got this, We've seen Trump just

719
00:40:12,200 --> 00:40:12,800
Speaker 1: off the handle.

720
00:40:13,040 --> 00:40:17,480
Speaker 3: So clearly Kendrick sand because he doesn't appreciate ghost writers.

721
00:40:19,800 --> 00:40:22,880
Speaker 2: Well, I do wonder, like how much of it is

722
00:40:22,920 --> 00:40:28,160
Speaker 2: a has to do with the sort of romy Yusuff

723
00:40:28,160 --> 00:40:32,399
Speaker 2: and Susan Sarandon and a bunch of folks just came

724
00:40:32,400 --> 00:40:37,120
Speaker 2: out talking about the McCarthyism in Hollywood, and a lot

725
00:40:37,120 --> 00:40:41,879
Speaker 2: of these nonprofits are right now coping and managing Zionism,

726
00:40:42,080 --> 00:40:45,960
Speaker 2: and the sort of huge gag order on talking about

727
00:40:45,960 --> 00:40:52,880
Speaker 2: genocide at all in Gaza has really rattled the arts

728
00:40:54,000 --> 00:40:57,160
Speaker 2: in the nonprofit sector. And there's just folks that I

729
00:40:57,200 --> 00:41:00,680
Speaker 2: thought would be working right now, like would be funded

730
00:41:00,800 --> 00:41:03,239
Speaker 2: and would be putting out content and there'd be like

731
00:41:03,360 --> 00:41:06,400
Speaker 2: campaigning and conversation, and there's just like nothing.

732
00:41:06,960 --> 00:41:10,080
Speaker 3: Yeah, that's also why I'm not successful. It's because of

733
00:41:10,120 --> 00:41:16,959
Speaker 3: my not my ability back order. Yeah, totally totally free pub.

734
00:41:16,760 --> 00:41:21,600
Speaker 1: Please, yes, all right, let's take a quick break and

735
00:41:21,800 --> 00:41:35,160
Speaker 1: we'll come back and we'll talk about the bees, and

736
00:41:35,320 --> 00:41:38,880
Speaker 1: we're back. Are either of you fans of the network

737
00:41:39,000 --> 00:41:40,520
Speaker 1: TV show nine to one one?

738
00:41:41,080 --> 00:41:43,239
Speaker 3: I am unfamiliar.

739
00:41:43,960 --> 00:41:44,920
Speaker 2: I am undecided.

740
00:41:48,600 --> 00:41:50,600
Speaker 1: All right, we're gonna we're gonna come over the New

741
00:41:50,680 --> 00:41:52,920
Speaker 1: York Times and I are gonna come over. We're gonna

742
00:41:53,160 --> 00:41:57,319
Speaker 1: make nachos for you. You can, you can just tell us

743
00:41:57,360 --> 00:42:01,440
Speaker 1: the ingredients that you're interested in, will make nachos for you.

744
00:42:01,880 --> 00:42:07,400
Speaker 1: We will watch the show with you, and actually, so

745
00:42:07,640 --> 00:42:10,680
Speaker 1: that's not entirely true. You will watch the show while

746
00:42:10,719 --> 00:42:14,120
Speaker 1: we watch you and take diligent notes of what you

747
00:42:14,160 --> 00:42:18,160
Speaker 1: are doing during during the watching, and then we will

748
00:42:18,160 --> 00:42:21,000
Speaker 1: feed the nachos to you while you kind of make

749
00:42:21,080 --> 00:42:22,320
Speaker 1: up your mind and just relax.

750
00:42:22,760 --> 00:42:32,640
Speaker 4: We want to feed, okay, always, Let's get the fuck

751
00:42:32,680 --> 00:42:33,160
Speaker 4: out of here.

752
00:42:33,360 --> 00:42:40,360
Speaker 1: It's like Michael Barbarow. So this is a trailer that

753
00:42:40,400 --> 00:42:45,520
Speaker 1: has been playing across various sporting events and TV shows

754
00:42:46,000 --> 00:42:49,600
Speaker 1: for the upcoming season of the TV show nine one one,

755
00:42:51,320 --> 00:42:53,759
Speaker 1: And I guess, I guess I'll just play it for

756
00:42:53,800 --> 00:42:59,359
Speaker 1: you guys. It's pretty pretty good, all right. It says

757
00:42:59,360 --> 00:43:02,000
Speaker 1: the average human cannot survive five hundred beast things. We

758
00:43:02,040 --> 00:43:12,520
Speaker 1: see a single bee joining a be tornadogency. Now, has

759
00:43:12,560 --> 00:43:17,440
Speaker 1: there ever been a more effective piece of ghost audio

760
00:43:17,840 --> 00:43:22,080
Speaker 1: than nine one one? What's your emergency for me?

761
00:43:22,239 --> 00:43:24,640
Speaker 2: It's all just less effective. I just want to be

762
00:43:24,680 --> 00:43:28,320
Speaker 2: out there saying I really prefer ants.

763
00:43:29,239 --> 00:43:32,960
Speaker 1: Why didn't they make the case for bees over ants

764
00:43:33,080 --> 00:43:35,680
Speaker 1: as a villain for this episode of nine one one?

765
00:43:35,880 --> 00:43:39,560
Speaker 2: Really effective? Really powerful? Ants are really diligent.

766
00:43:41,280 --> 00:43:43,880
Speaker 3: Is there is something going on? Sorry?

767
00:43:43,880 --> 00:43:46,960
Speaker 1: Go ahead, Jack, I just I was a little worried

768
00:43:47,080 --> 00:43:49,680
Speaker 1: that that wasn't enough information. And this is how I

769
00:43:49,680 --> 00:43:52,160
Speaker 1: took this in. First I saw the teaser, and up next,

770
00:43:52,160 --> 00:43:54,000
Speaker 1: I just want to give you the full thirty seconds

771
00:43:54,760 --> 00:43:59,440
Speaker 1: of an exclusive first look. Be Nato is coming to

772
00:43:59,800 --> 00:44:08,480
Speaker 1: nine one one on September twenty. Let's do it all right, Okay,

773
00:44:08,600 --> 00:44:09,520
Speaker 1: So what happened there?

774
00:44:09,920 --> 00:44:11,680
Speaker 3: Collins?

775
00:44:11,760 --> 00:44:12,719
Speaker 2: Nice call it?

776
00:44:13,480 --> 00:44:15,040
Speaker 1: And by the way, what they can feel coming in

777
00:44:15,040 --> 00:44:17,040
Speaker 1: the air tonight in case you were wondering.

778
00:44:17,640 --> 00:44:19,879
Speaker 2: I just want to say I would be behind it,

779
00:44:19,920 --> 00:44:23,000
Speaker 2: but I feel like if it was cicadas, we.

780
00:44:22,920 --> 00:44:25,839
Speaker 1: Might be a little bit more scary. And it is

781
00:44:26,680 --> 00:44:29,319
Speaker 1: incumbent on them to change my mind and give me

782
00:44:29,560 --> 00:44:33,080
Speaker 1: the details that will make me realize it should be

783
00:44:33,080 --> 00:44:37,279
Speaker 1: bees instead of cicadas. So that opens with a tractor

784
00:44:37,480 --> 00:44:41,640
Speaker 1: trailer on you know, a mac truck on Los Angeles Highway,

785
00:44:41,760 --> 00:44:45,680
Speaker 1: almost crushing a family, but then instead the boxes on

786
00:44:45,719 --> 00:44:49,080
Speaker 1: the backtip over and slight buzzing sound.

787
00:44:49,280 --> 00:44:52,759
Speaker 6: The truck was calling twenty two million killer bees to

788
00:44:52,840 --> 00:44:53,680
Speaker 6: kill forty four.

789
00:44:57,440 --> 00:45:08,040
Speaker 5: No, oh not the guy prepared fly away.

790
00:45:08,239 --> 00:45:12,880
Speaker 1: That's right, he said it.

791
00:45:12,960 --> 00:45:14,280
Speaker 3: He said the name of the movie.

792
00:45:14,640 --> 00:45:18,320
Speaker 1: He did. He looked up at the sky, squinted and said,

793
00:45:18,520 --> 00:45:19,440
Speaker 1: it's like a.

794
00:45:19,280 --> 00:45:23,800
Speaker 2: B Nato, the part where they go and they'll just

795
00:45:23,840 --> 00:45:25,000
Speaker 2: fly away. Not likely?

796
00:45:25,800 --> 00:45:28,080
Speaker 1: What if they just fly away? Not likely?

797
00:45:28,680 --> 00:45:32,720
Speaker 2: The Western fear of retaliation for colonialism.

798
00:45:35,680 --> 00:45:38,040
Speaker 3: I was thinking about this, not likely.

799
00:45:38,320 --> 00:45:40,239
Speaker 1: These are bent on revenge.

800
00:45:40,520 --> 00:45:46,560
Speaker 3: There's savages and they didn't take the rule of the Sharia.

801
00:45:46,800 --> 00:45:50,080
Speaker 3: They would subscribe to Sharia law bringing it.

802
00:45:50,480 --> 00:45:54,399
Speaker 1: Can we look at the name of the show nine

803
00:45:54,360 --> 00:45:58,440
Speaker 1: to eleven eleven, and it's just a bunch of flying

804
00:45:58,520 --> 00:46:02,600
Speaker 1: things swarming towards a skyscraper in ju.

805
00:46:03,280 --> 00:46:05,600
Speaker 3: I want the next one to be about that elephant

806
00:46:05,719 --> 00:46:08,759
Speaker 3: that like the woman who like was bad to the

807
00:46:08,800 --> 00:46:10,760
Speaker 3: elephant and then it killed her and then it stopped

808
00:46:10,760 --> 00:46:13,040
Speaker 3: her out at her funeral, Like, I want that to

809
00:46:13,160 --> 00:46:17,080
Speaker 3: be the next enemy. Is that fucking dope ass elephant?

810
00:46:17,239 --> 00:46:18,320
Speaker 1: It's just animals.

811
00:46:18,880 --> 00:46:24,080
Speaker 2: Away from this really clear that bees are Muslim. Yeah,

812
00:46:24,640 --> 00:46:27,360
Speaker 2: and I'm ready to claim my brethren.

813
00:46:27,880 --> 00:46:31,239
Speaker 3: Yes, I do think bees are Muslim. I do I

814
00:46:31,600 --> 00:46:35,160
Speaker 3: agree with you. I think they're very clean. They washed

815
00:46:35,200 --> 00:46:38,040
Speaker 3: themselves like with the dew of flowers like five times

816
00:46:38,040 --> 00:46:39,279
Speaker 3: a day, right, you.

817
00:46:39,239 --> 00:46:43,680
Speaker 1: Know, unfairly maligned in the mainstream media in the West.

818
00:46:44,160 --> 00:46:46,960
Speaker 2: Yeah, and make honey for bub blah blah.

819
00:46:47,320 --> 00:46:48,640
Speaker 3: Oh that's so true.

820
00:46:48,719 --> 00:46:49,640
Speaker 1: Really good at math.

821
00:46:50,120 --> 00:46:53,120
Speaker 2: Yeah, that's that's the scene that we're not seeing here

822
00:46:53,200 --> 00:46:55,600
Speaker 2: is after they said they'll just fly away. No, they

823
00:46:55,640 --> 00:46:58,239
Speaker 2: wived and then the bees are like, listen, we've made

824
00:46:58,320 --> 00:47:01,759
Speaker 2: quite a lot of contributions, right, yeah, And they put

825
00:47:01,760 --> 00:47:05,480
Speaker 2: together a whole, you know, little mini trailer of all

826
00:47:05,520 --> 00:47:08,720
Speaker 2: the things that Muslim bees have contributed to the world.

827
00:47:09,200 --> 00:47:13,600
Speaker 3: The FBI is always trying to get into their hives.

828
00:47:14,719 --> 00:47:20,120
Speaker 3: That's why they're called the FBI. They're trying to five seventy.

829
00:47:19,800 --> 00:47:21,640
Speaker 2: Two virgin drones.

830
00:47:22,920 --> 00:47:24,800
Speaker 3: One queen, there are drums.

831
00:47:25,120 --> 00:47:29,800
Speaker 1: They are sexless. Yeah, yeah, interesting, Wow, A lot to

832
00:47:29,880 --> 00:47:33,640
Speaker 1: think about here, folks. We're not here to make your

833
00:47:33,719 --> 00:47:37,080
Speaker 1: decision for you, Zara. We're just here to kind of

834
00:47:37,640 --> 00:47:40,719
Speaker 1: present the information, just like kind of vibe see where

835
00:47:40,719 --> 00:47:44,200
Speaker 1: your vibes are shifting. So we appreciate you me.

836
00:47:46,640 --> 00:47:46,719
Speaker 11: Uh.

837
00:47:46,920 --> 00:47:50,880
Speaker 1: In exchange for nachos, I will pretend like I haven't

838
00:47:50,960 --> 00:47:58,040
Speaker 1: already decided to vote for Trump. Seems to be because anyways, Uh, Zara,

839
00:47:58,120 --> 00:48:01,320
Speaker 1: what a pleasure of having you on? Thank you always?

840
00:48:02,000 --> 00:48:05,000
Speaker 1: Where can people find you? Follow you all that good stuff?

841
00:48:05,280 --> 00:48:05,400
Speaker 5: Yo?

842
00:48:05,880 --> 00:48:08,719
Speaker 2: You can listen to me or listen to my work

843
00:48:09,480 --> 00:48:14,640
Speaker 2: and support on Lupita and Jango's new podcast, Mind your Own.

844
00:48:15,800 --> 00:48:19,239
Speaker 2: Shout out to Regina Bidiaco, who is a lot of

845
00:48:19,280 --> 00:48:23,440
Speaker 2: the brains and hearts behind this project. And I'm working

846
00:48:23,520 --> 00:48:26,279
Speaker 2: on a book, so you haven't seen me as much

847
00:48:26,440 --> 00:48:30,440
Speaker 2: on the media's because I'm taking a time machine back

848
00:48:30,480 --> 00:48:33,600
Speaker 2: through the most painful periods of my life and finding.

849
00:48:33,440 --> 00:48:36,319
Speaker 1: Joy and amazing. It sounds like you have more than

850
00:48:36,480 --> 00:48:38,560
Speaker 1: just a concept of a book. Sounds like you have

851
00:48:38,920 --> 00:48:42,520
Speaker 1: a whole plan for a book. I've got concepts, Yeah,

852
00:48:42,600 --> 00:48:44,560
Speaker 1: I have so many concepts of a plan for.

853
00:48:44,640 --> 00:48:46,359
Speaker 2: A bout how many concepts.

854
00:48:47,680 --> 00:48:48,120
Speaker 3: Ideas?

855
00:48:48,160 --> 00:48:49,000
Speaker 1: You know what I mean? Yeah?

856
00:48:49,200 --> 00:48:51,880
Speaker 2: Exactly, hanging out with a bunch of Muslim beans.

857
00:48:55,080 --> 00:48:57,400
Speaker 1: Is there a work of medias are that you've been enjoying.

858
00:49:00,320 --> 00:49:04,320
Speaker 2: I want to shout out my friends, Publication Convergence, Kaiden Malick.

859
00:49:04,880 --> 00:49:06,960
Speaker 2: You can find them on you can find them on.

860
00:49:08,880 --> 00:49:09,840
Speaker 1: X IS.

861
00:49:10,080 --> 00:49:12,920
Speaker 3: It's ex No, it's still Twitter. Just still call it Twitter.

862
00:49:13,280 --> 00:49:17,000
Speaker 3: We're not doing this, Nope, I can't. Every time I

863
00:49:17,120 --> 00:49:18,440
Speaker 3: go to do it, I can't do it.

864
00:49:19,160 --> 00:49:23,880
Speaker 2: Yeah, phenomenal work with all kinds of toolkits for the

865
00:49:23,960 --> 00:49:29,080
Speaker 2: election for all you one decided's out there some good stuff,

866
00:49:29,440 --> 00:49:31,399
Speaker 2: maybe not nachos, but just as good.

867
00:49:31,680 --> 00:49:35,160
Speaker 1: Amazing, a pleasure having you.

868
00:49:36,080 --> 00:49:36,400
Speaker 3: Thank you.

869
00:49:37,840 --> 00:49:39,520
Speaker 1: Where can people find you? And is there a work

870
00:49:39,560 --> 00:49:41,440
Speaker 1: of media that you've been enjoying?

871
00:49:41,920 --> 00:49:44,960
Speaker 3: Yes, I am at polavigonal and p A L L

872
00:49:45,080 --> 00:49:46,960
Speaker 3: A V I g U and A L A N

873
00:49:47,239 --> 00:49:50,719
Speaker 3: everywhere and Facial Recognition comedy is coming up on the

874
00:49:50,840 --> 00:49:53,440
Speaker 3: twentieth and hold on. I want to share screen to

875
00:49:53,520 --> 00:49:59,440
Speaker 3: show you this tweet at Miss White xoxo said every

876
00:49:59,560 --> 00:50:01,960
Speaker 3: nine eleven in this is the only thing I can

877
00:50:02,000 --> 00:50:04,400
Speaker 3: think about, and it's people singing and here we go.

878
00:50:04,920 --> 00:50:12,120
Speaker 2: Oh you'll see what he's got.

879
00:50:17,200 --> 00:50:22,280
Speaker 3: You, God, You'll see what he's got and then they're

880
00:50:22,320 --> 00:50:24,720
Speaker 3: in front of a chalkboard and they're singing this it's.

881
00:50:24,600 --> 00:50:26,200
Speaker 1: Like in a university classroom.

882
00:50:26,719 --> 00:50:28,840
Speaker 3: Puts your fingers down and goes nine eleven.

883
00:50:33,800 --> 00:50:37,160
Speaker 1: I like to answert that in between sentences really quickly.

884
00:50:37,320 --> 00:50:41,120
Speaker 3: You didn't, yeah, nine eleven, and then her fingers go

885
00:50:41,280 --> 00:50:44,640
Speaker 3: down just like the towers, And it's like, what the fuck?

886
00:50:45,520 --> 00:50:49,399
Speaker 1: That's just great music teacher direction, you know, where they're

887
00:50:49,440 --> 00:50:50,920
Speaker 1: like I need you up here. You know, they'll like

888
00:50:51,040 --> 00:50:53,760
Speaker 1: slide something in in between, like you're they're saying, singing,

889
00:50:53,880 --> 00:50:57,040
Speaker 1: sing and I need you up here. And but for

890
00:50:57,200 --> 00:51:03,640
Speaker 1: her it was eleven. It's really truly wild.

891
00:51:04,040 --> 00:51:05,480
Speaker 3: I just needed people to know about.

892
00:51:07,360 --> 00:51:12,279
Speaker 1: All Right, a tweet I've been enjoying from at ron

893
00:51:12,520 --> 00:51:17,279
Speaker 1: Ui r O n n U. I underscore like on

894
00:51:17,480 --> 00:51:21,879
Speaker 1: Wi ron We. I guess I'm friends with him ron

895
00:51:21,960 --> 00:51:29,320
Speaker 1: We underscore Ronnie there, Yeah, yeah, I once pronounced on

896
00:51:29,400 --> 00:51:31,920
Speaker 1: this show. Actually, I think I've probably done it frequently

897
00:51:32,320 --> 00:51:37,040
Speaker 1: on we as n Ui so and I just did

898
00:51:37,080 --> 00:51:37,759
Speaker 1: it again.

899
00:51:39,120 --> 00:51:39,520
Speaker 12: Ron We.

900
00:51:40,400 --> 00:51:46,080
Speaker 1: Anyways, uh Ron just had this public health announcement. Parents,

901
00:51:46,239 --> 00:51:49,560
Speaker 1: you have to vaccinate your children. They're diseases that we

902
00:51:49,680 --> 00:51:52,800
Speaker 1: eliminated ages ago. That are coming back now. I just

903
00:51:52,960 --> 00:51:58,360
Speaker 1: met a kid who tested positive for lynsanity. Lynsanity folks.

904
00:51:58,719 --> 00:52:06,279
Speaker 1: Another sports joke, spar boy joke. You can find me

905
00:52:06,480 --> 00:52:08,680
Speaker 1: on Twitter at Jack Underscore ol Brian. You can find

906
00:52:08,800 --> 00:52:11,120
Speaker 1: us on Twitter at at Daily Zeikeeist. We're at v

907
00:52:11,239 --> 00:52:13,840
Speaker 1: Daily Zeikeeist on Instagram. We have a Facebook champage and

908
00:52:13,880 --> 00:52:16,520
Speaker 1: a website, Daily zeikeist dot com where we post our

909
00:52:16,560 --> 00:52:19,360
Speaker 1: episodes and our footnotes where we link off to the

910
00:52:19,400 --> 00:52:22,359
Speaker 1: information that we talked about in today's episode, as well

911
00:52:22,400 --> 00:52:25,840
Speaker 1: as a song that we think you might enjoy with

912
00:52:26,800 --> 00:52:30,400
Speaker 1: both of our normal song recommenders, mister Miles Gray and

913
00:52:30,560 --> 00:52:35,239
Speaker 1: super producer justin Out. Brian the editor filling in, Is

914
00:52:35,320 --> 00:52:37,480
Speaker 1: there a song that you think people might enjoy? Uh?

915
00:52:37,760 --> 00:52:41,920
Speaker 12: Yeah, Me and my partner have been enjoying DJ Assault.

916
00:52:42,120 --> 00:52:48,760
Speaker 12: Shout out to Bay. Yeah, he reintroducing me to DJ Assault.

917
00:52:49,040 --> 00:52:52,200
Speaker 12: This song is called Sex on the Beach. It is

918
00:52:52,400 --> 00:52:58,080
Speaker 12: a fucking banger. It's just it's it's impossible to feel

919
00:52:58,120 --> 00:52:59,759
Speaker 12: sad or in a bad mood when you put on this,

920
00:53:00,360 --> 00:53:01,239
Speaker 12: so check it out.

921
00:53:01,360 --> 00:53:04,919
Speaker 1: Six on the Beach DJ Assault. All right, we will

922
00:53:05,000 --> 00:53:08,360
Speaker 1: link off to that in the footnotes. The Daily Zeitgeist

923
00:53:08,400 --> 00:53:11,359
Speaker 1: is the production of iHeartRadio. For more podcasts from iHeart Radio,

924
00:53:11,480 --> 00:53:14,600
Speaker 1: visit the iHeartRadio ab Apple podcast or wherever I pime

925
00:53:14,640 --> 00:53:16,840
Speaker 1: podcast giving away for free. That is going to do

926
00:53:16,880 --> 00:53:20,719
Speaker 1: it for us. This week, we are done for this week.

927
00:53:20,840 --> 00:53:25,680
Speaker 1: We will have a the Weekly Zeitgeist, which is the

928
00:53:25,719 --> 00:53:29,600
Speaker 1: highlight reel of episodes from this week, dropping tomorrow and

929
00:53:29,680 --> 00:53:33,360
Speaker 1: then we will be back on Monday morning or Monday

930
00:53:33,360 --> 00:53:36,560
Speaker 1: afternoon to tell you what was trending over the weekend

931
00:53:36,600 --> 00:53:38,839
Speaker 1: and what's trending on Monday morning and we will talk

932
00:53:38,920 --> 00:53:44,719
Speaker 1: to you all then bye bye bye why why why

933
00:53:45,000 --> 00:53:45,879
Speaker 1: by bye by