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Speaker 1: Has my audio. By the way, do let me make

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Speaker 1: sure my you sound great to me?

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Speaker 2: Yeah? Good?

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Speaker 1: Oh wait, Selective America's blue snowball right. Oh yeah, I

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Speaker 1: wasn't supposed to say out loud. I'm still on my

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Speaker 1: blue snowball.

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Speaker 2: You're on a blue snowball. Holy wait, old, I don't

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Speaker 2: even know what that is.

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Speaker 3: I don't know what you're The podcasters are like, it's like.

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Speaker 1: So it's like so old school. It's like it's like

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Speaker 1: circa Obama era. I started a podcast.

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Speaker 2: It's in the shape of a little ball and it's

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Speaker 2: got little legs on it. I think it's actually dates

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Speaker 2: time and it does.

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Speaker 3: It looks like it looks like what I thought Xenon

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Speaker 3: would use, you know what I mean. Yeah, it's like

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Speaker 3: a prop from Xenon. Girl of the twenty first.

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Speaker 2: Century, like one of the thirty movies that came out

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Speaker 2: after Star Wars where they were like, we did do

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Speaker 2: that too, with just stuff we have around the house. Yeah.

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Speaker 3: Sorry, I don't know how to tell your listeners this,

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Speaker 3: but Xena and Girl of the twenty first Century is

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Speaker 3: better than.

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Speaker 2: Star Wars ide bitches. Star Wars doesn't have that many

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Speaker 2: fans actually, and the ones that does have very chill,

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Speaker 2: so chill, very chill and reasoned circumspect. I would say

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Speaker 2: the number one word that comes to mind for me

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Speaker 2: with Star Wars fans. Circumspect, good priorities, everything's in its

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Speaker 2: right place. Hello the Internet, and welcome to season three

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Speaker 2: point fifty five, Episode five of Dornelly's I Guys.

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Speaker 4: Stay production of iHeartRadio. This is a podcast where we

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Speaker 4: take a deep dive into America's shared consciousness. And we are,

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Speaker 4: of course America's only undecided podcast.

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Speaker 2: Uh wait. Toasted by me, an undecided voter. We're still

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Speaker 2: just like not sure what to think about these two

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Speaker 2: and the New York Times throws us parties all the time.

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Speaker 2: It's great. It is Friday, September thirteenth, twenty twenty four.

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Speaker 2: My name is Jack O'Brien aka me and you slurping

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Speaker 2: soup like effeminine dudes, person lips on some thick ass straws,

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Speaker 2: plumpers out homophobes, slack jawed. That is courtesy of Loacaroni

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Speaker 2: on the discord a Little Elevator's outcast at Aliens aka,

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Speaker 2: I am thrilled to be joined by a hilarious stand

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Speaker 2: up comedium writer actor improviser. You can catch her on

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Speaker 2: stand up stages everywhere, check her website and at the

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Speaker 2: monthly Facial Recognition comedy show, which she also produces. It's Polymagnola.

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Speaker 3: I'm never leaving, I've come back, never going away.

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Speaker 2: I come want Miles or I is out and you

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Speaker 2: fill in for us. There are people who come in

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Speaker 2: and are like, take your time getting back guys, Paulavi

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Speaker 2: has this. I'm like, I know if Paulive has this,

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Speaker 2: but kind of fuck you. That hurts my feelings. I

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Speaker 2: don't need to hear. I need to hear someone's better

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Speaker 2: at my job than me, even if they are.

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Speaker 5: Coughing on your kids hoping you guys will get sick.

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Speaker 2: Oh man, you don't have to. By the way, that

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Speaker 2: job has been taken care of by everyone else in

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Speaker 2: first and second grade.

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Speaker 5: So incredible.

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Speaker 2: Yes, it's great to have you back, Paula to be here.

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Speaker 2: Miles still not feeling well. Send the good vibes out

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Speaker 2: to Miles heading into his birthday weekend. Also send him

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Speaker 2: birthday wishes. Yeah, easy way to remember he and Prince

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Speaker 2: Harry born on the same day in the same hospital

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Speaker 2: and where they switched to birth I don't know who lovely.

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Speaker 3: Who does the Queen love more or loved more? Probably

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Speaker 3: Miles at this point.

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Speaker 2: Miles may not look like Prince Charles and Diana, but

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Speaker 2: you know who else doesn't Prince Harry, So you know

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Speaker 2: what I mean. I'm just saying, just putting it out there. Actually,

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Speaker 2: I don't think he was born in the same the.

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Speaker 5: Love child of Ed Sheeran and Princess Diana.

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Speaker 2: Somehow well, Paula Vey, We are thrilled to be joined

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Speaker 2: in our third seat by one of our very favorite guests,

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Speaker 2: a very funny comedian and activist, the host of the

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Speaker 2: great award winning podcast Good Muslim, Bad Muslim, the senior

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Speaker 2: Fellow on Comedy at the Pop Culture Collab. She's written

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Speaker 2: in The New York Times, wrote and performed a piece

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Speaker 2: on NPR's Fresh Air, and his guest producer to Academy

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Speaker 2: Award winner Lupita Nyongo's new podcast, Mind Your Own, available

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Speaker 2: wherever you get podcasts. We don't usually like to a

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Speaker 2: knowledge other that other podcasts exist on this show, but

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Speaker 2: we will in this one instance because it sounds pretty

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Speaker 2: fucking cool. It is the hilarious and talented Zara Normal.

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Speaker 1: What Oh My God?

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Speaker 2: It's so good to be here, so good to have

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Speaker 2: you back.

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Speaker 3: I like obsessed that, you know, Lupita and Nonga with her,

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Speaker 3: I'm like crazy, I'm like, I bet she just smells

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Speaker 3: so nice.

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Speaker 5: In love with her.

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Speaker 3: I'm obsessed with the fact that she got a cat

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Speaker 3: because of a quiet place after having to have cat

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Speaker 3: therapy because she was scared of cats, and then she

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Speaker 3: filmed that movie and then she adopted a cat, and

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Speaker 3: now she posts like photo shoots with a cat for

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Speaker 3: its birthday, and I'm like obsessed, Oh my.

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Speaker 1: God, it's phenomenal.

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Speaker 2: You just rattled that off, like everybody knows. That is

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Speaker 2: 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 Lupida 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 1: Actually, she has many superpowers. One of them is just

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Speaker 1: you would tell her your name pronunciation and then it's

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Speaker 1: just there right right away, right away. Yeah, and just

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Speaker 1: like so fast with every I mean, she's an Academy

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Speaker 1: Award winning actress. Of course, you can retain mountains and

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Speaker 1: mountains of information. But it's just like so smooth, so professional.

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Speaker 2: Mouth knows its way around a word or two.

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Speaker 5: But that was the creepiest way to say that.

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Speaker 2: I'm still why do we keep talking about her mouth?

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Speaker 2: From that?

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Speaker 5: I love you.

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Speaker 1: I'm still recovering.

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Speaker 2: I really apologize, Jesus Christ. Was that it's.

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Speaker 5: A beautiful mouth you got there. Seems to know it's

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Speaker 5: a way.

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Speaker 2: That is a compliment I like to give people. Is

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Speaker 2: it not good? I mean I could just you you

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Speaker 2: can be honest with me.

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Speaker 5: Here, give it to really macho man and see, God.

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Speaker 2: Damn, your mouth knows.

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Speaker 1: That's like a skirt that really knows her way around.

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Speaker 1: I'll fill in the blank.

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Speaker 2: Mm hmmm, yeah, he did.

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Speaker 5: Well, he didn't say skirt.

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Speaker 2: And to be fair, Zara that I understand why you

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Speaker 2: said that. But Brian has been instructed to edit out

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Speaker 2: all the times when I say skirt so it won't

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Speaker 2: be in the final cut.

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Speaker 1: I mean, that's the way to do it. Just erase

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Speaker 1: any history a skirt.

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Speaker 2: Jesus Christ. Well, I apologize for that, but I am

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Speaker 2: thrilled to have you back on the show. Out. Yeah,

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Speaker 2: how's motherhood treating you? Oh my god, that's all we

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Speaker 2: 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 5: So that means you're a great mom.

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Speaker 1: Oh thanks, thank you. There's just things I can't do anymore.

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Speaker 1: Is just like most conversations like thank god this is

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Speaker 1: pre recorded.

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Speaker 2: Yeah, no, we it's taken. It's taken us forty five

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Speaker 2: minutes to get this much, just so the listeners aware,

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Speaker 2: we're no imagine yeah yeah.

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Speaker 1: Why do people ask how are you doing?

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Speaker 2: Like I just did. I don't know. Fuck no those

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Speaker 2: people you said how are you doing?

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Speaker 1: Like just stand for you know, just standard like small talk, right,

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Speaker 1: But then there are those people who grab you by

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Speaker 1: the wrist and pull you toward them and say no,

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Speaker 1: really no are.

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Speaker 2: You doue yes. This is something that like some dads

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Speaker 2: do is they want to have like real conversations like

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Speaker 2: at the like jump that, like they just like see

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Speaker 2: you and they're like, no, mate, how you really doing? Man?

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Speaker 2: And 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. 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 1: Oh my god, do you know how long it takes

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Speaker 1: me to stand up. I have to breathe in from

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Speaker 1: my deepest core that is so stretched out I might

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Speaker 1: leaking blood clots. Yeah, it's like alien. Oh my god,

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Speaker 1: 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 2: Just a picture pointing to the guy on the table

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Speaker 2: after the chest Burson, just like you.

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Speaker 3: And then it's like you're like, you cut out a

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Speaker 3: picture of your face and put it on.

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Speaker 5: The little alien.

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Speaker 2: 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 2: Killed a guy. Oh no, no, you're not checking. I

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Speaker 2: thought you meant the person having the thing come out

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Speaker 2: of them. Uh yeah, no, they have a person in

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Speaker 2: a suit. But the connection of chest Burster being like

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Speaker 2: childbirth is made and remade and underlined in that movie.

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Speaker 2: They're like, but like, have you thought about it, like really.

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Speaker 1: But you know, revolutionary in its time.

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Speaker 2: Oh yeah, yea yeah, because in this time they.

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Speaker 1: Were still I think I talked about this last podcast,

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Speaker 1: where like they were still putting women against their wishes

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Speaker 1: under general anesthesia for delivery, right and birth. Yeah, and

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Speaker 1: birth was just like not a thing that you talked about,

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Speaker 1: discussed or showed in any kind of quote unquote vulgar way.

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Speaker 6: 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 un change.

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Speaker 2: Yeah, yeah, wow, they put them under general anesthesia and

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Speaker 2: we're just like, yeah, so you're quiet childbirth or something.

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Speaker 3: Stop your screaming broad We could hear you from where

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Speaker 3: we're smoking our cigar.

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Speaker 2: Yeah, well, it seems like your mouth might know its

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Speaker 2: way around a word. We're gonna we're gonna ask that you, right,

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Speaker 2: I cant stop saying it. I'm sorry, all right, and.

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Speaker 1: Now I can't stop doing it. I'm just putting my

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Speaker 1: mouth all.

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Speaker 2: Around around all right. We're gonna get to know you

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Speaker 2: a little bit better in the moment than our first

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Speaker 2: We're going to tell the listeners a couple of things

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Speaker 2: we're talking about. We're just gonna continue to talk about

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Speaker 2: the debate, the responses, what early, what the flash polls

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Speaker 2: are saying. Also, we are, of course kind of talk

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Speaker 2: about the new season of Network TV show nine to

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Speaker 2: one one, which has a three part season premiere that

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Speaker 2: I'm pretty excited about, where bees form a tornado and

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Speaker 2: attack Los Angeles. Oh hell yeah, yes, all of that

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Speaker 2: plenty more. But first are we do like to ask

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Speaker 2: our guests what is something from your search history that's

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Speaker 2: revealing about who you are?

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Speaker 1: Okay, I asked my search history if one piece of

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Speaker 1: cheese and a pack of sliced mozzarella cheeses has mold

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Speaker 1: on it, does that make them all bad?

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Speaker 2: Great question that has come up in my mind many

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Speaker 2: times and that I have never I've never bothered to

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Speaker 2: google it. I will tell you that much. I depending

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Speaker 2: on how much I want the cheese, I will either

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Speaker 2: throw the one piece away or throw the whole thing away.

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Speaker 2: But it's totally dependent on like how bad I need

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Speaker 2: cheese in that mine.

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Speaker 5: I know.

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Speaker 3: I was going to say, it's dependent on like how

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Speaker 3: much money is in your bank account at that yea, yeah,

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Speaker 3: It's like what are able to throw a whole pack

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Speaker 3: of cheese away? It's like you don't care about your

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Speaker 3: bank account, your neighbor's bank accounts.

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Speaker 5: 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 lights, then you're like,

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Speaker 3: you're down bad.

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Speaker 5: I'm so sorry.

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Speaker 2: So you're taking just the mold off the one slice?

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Speaker 5: Yeah, I mean, I mean that's to that point, you

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Speaker 5: know what I mean.

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Speaker 2: I mean smell test obviously, right, we're using the smell test.

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Speaker 2: If all the cheese smell bad, we're.

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Speaker 3: Probably Victor is 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 cheese is individually wrapped.

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Speaker 1: Talking about craft singles, Victor, So now I understand what.

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Speaker 3: Craft we're talking about. If it's hot, it's melting together

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Speaker 3: into one.

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Speaker 2: Big stack, right.

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Speaker 1: I mean, typically I do the partner test where I

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Speaker 1: give it to my husband and watch him eat it

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Speaker 1: and just stare at him for a while.

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Speaker 2: Just put him under a round the clock observation for

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Speaker 2: 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. We'd be like, I don't want it.

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Speaker 3: I don't want it, mom, and he'd be like, Okay,

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Speaker 3: give it to me, fine, baby, So I had to

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Speaker 3: be like super for sure, for sure, Yeah, we can

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Speaker 3: take it.

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Speaker 2: We can take a little bit of boud.

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Speaker 3: I will say, I haven't told 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 like eating questionable stuff and

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Speaker 3: then wondering if I have IBS for the rest of

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Speaker 3: my life.

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Speaker 5: So I'm a huge fan of that.

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Speaker 2: Then you have something to blame your IBS on besides

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Speaker 2: 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 because I just like, don't pay attention to the

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Speaker 3: mold in my friend.

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Speaker 2: That's right. I like that. We just rushed past. Like

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Speaker 2: did Google have a satisfying answer of on this question?

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Speaker 1: It actually said everything that you guys just said. It

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Speaker 1: said you can either discard the moldy slice.

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Speaker 2: It was enough, Thanks Google. I didn't know. Yeah it is.

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Speaker 1: 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 2: You definitely don't need to throw away craft like if

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Speaker 2: one gets moldy. You don't have to throw away the rest.

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Speaker 1: We're not talking about craft singles here, We're talking about

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Speaker 1: whole foods, organic.

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Speaker 2: Singles. Oh okay, sorry, sorry cheese. I'm aware of You're like, I.

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Speaker 5: Don't understand what's other cheese?

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Speaker 2: What is something you think is underrated?

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Speaker 1: Okay? I stand by this baby talk, baby talk, It

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Speaker 1: is hugely underweighted.

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Speaker 2: Okay.

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Speaker 5: I don't know how I felt about.

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Speaker 3: I was like, I was like, it's cute because you

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Speaker 3: talk to your babies and maybe your dogs or your

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Speaker 3: cats or whatever, and that's a cute bot.

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Speaker 5: And then when you said it to me, I was like,

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Speaker 5: oh no, like.

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Speaker 1: This like this, I want to talk to everybody, Like yes,

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Speaker 1: what sound like you're from New York?

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Speaker 5: When you do.

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Speaker 1: I want to talk to everybody my way I'm walking here.

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Speaker 2: Is that a little bit like a South Park character

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Speaker 2: is supposed to be from New York? Yeah?

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Speaker 3: Yeah, yeah, but so is so cute when the babies

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Speaker 3: from New York.

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Speaker 2: I'm just gonna move right along to what you're on

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Speaker 2: that one.

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Speaker 1: I guess.

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Speaker 2: Yeah, no, no, no, we all agree that was underrated

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Speaker 2: and great. What's what's Up's overrated?

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Speaker 1: Being old and having children hugely. Please don't wait for

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Speaker 1: your life.

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Speaker 5: How was your Sara, You you're so young.

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Speaker 1: Yeah, exactly, No, I'm not young people twenties. I'm very

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Speaker 1: out and clear about this because everyone has been telling me.

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Speaker 1: Everyone I know who's in their thirties and their twenties

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Speaker 1: keep saying to me, Yeah, I was so stressed about

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Speaker 1: my career choices. But then I saw that you had

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Speaker 1: a baby at forty three, and I thought, I can wait.

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Speaker 1: And I want to say to you, don't wait, don't

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Speaker 1: be crazy. Just decide to get a surrogate. Just save

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Speaker 1: up for that now. If it's important to you, save

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Speaker 1: the hundreds of thousands of dollars more of that for

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Speaker 1: adopt you should start that. Adoption is a long process,

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Speaker 1: none of it, none of it that you undertake in

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Speaker 1: the world of child rearing other than free sex babies

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Speaker 1: for whoever gets to do that.

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Speaker 2: Now, Free babies for whoever it gets to do that.

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Speaker 5: Now, Yeah, you great sex babies.

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Speaker 2: That's going to be a long ass SiGe, like something

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Speaker 2: that Trump would have said in the debate.

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Speaker 3: Transgender illegal alien surgeries for babies or whoever gets to

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Speaker 3: do that?

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Speaker 2: Wow, free sex babies for whoever wants to do that now,

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Speaker 2: and we want and.

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Speaker 5: They will to them after nine months.

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Speaker 1: Oh my god.

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Speaker 3: I will say, uh, none of my family ever takes

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Speaker 3: me 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.

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Speaker 5: Like, are you guys thinking about having kids?

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Speaker 3: Because if I because he got a house and then

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Speaker 3: a child, he was like, I would have done it backwards.

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Speaker 5: I would have had the kid first.

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Speaker 2: I don't care where I was living.

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Speaker 5: I would have just had the kid. It's so tiring.

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Speaker 3: I'm so tired hearing, and he had this kid when

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Speaker 3: he was like thirty seven, so.

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Speaker 5: Like that's even really comparison to me. He's like, I

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Speaker 5: would have done it sooner. I'm so tired.

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Speaker 1: Well, and you know what else, because like I just

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Speaker 1: feel like in the United States people don't have like

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Speaker 1: real conversation anymore. We just have like cult culture conversation.

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Speaker 5: It's just interesting.

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Speaker 1: That is so rat.

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00:19:01,800 --> 00:19:08,840
Speaker 2: Yeah, thank you. Point is so brat about how we

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Speaker 2: only how we like cram pop culture into like important conversations.

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Speaker 2: Saying that is so brat. So what Oh my God,

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Speaker 2: I'm going to have the end of this episode had

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Speaker 2: the daily in general, this is the last episode of

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Speaker 2: our podcast. This is the last episode. This is the

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Speaker 2: last episode of our podcast.

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Speaker 1: We can sound like omer. It's true, No, okay, I

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Speaker 1: had We tried to have an IDF baby, which is

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Speaker 1: extremely expensive. Yeah, tens of thousands of dollars expensive, and

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Speaker 1: it failed and we had my baby. But it's still like,

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Speaker 1: I know very clearly that it's the IVF hormones and

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Speaker 1: process that supported me and having my quote unquote free

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Speaker 1: sex baby. Like it definitely was that a free experience

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Speaker 1: that we tried for three years nothing happened, and then after.

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Speaker 5: I like that with the sex, you guys got to

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Speaker 5: come a lot, right.

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Speaker 1: It's true, It's true.

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Speaker 5: That's really hard though, that's like a heart process.

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Speaker 1: I say all this just because I feel like in

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Speaker 1: our culture of CULTI conversation m it's we never can't

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Speaker 1: down just what the fuck stuff costs and how you're

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Speaker 1: gonna feebly do it, you know what I mean. Like,

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Speaker 1: no one's talking about retirement, even though it's like terrifying

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Speaker 1: out there. Nobody's talking about how you want to.

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Speaker 5: Die of natural disasters because of climate change. That's my

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Speaker 5: retire I'm.

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Speaker 1: Saying, is like, how am I supposed to pay for

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Speaker 1: like solar and the down payment to a house in

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Speaker 1: California and my kid's education because you know, hopefully they

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Speaker 1: don't get shot at school, and also figure out my

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00:21:08,880 --> 00:21:13,199
Speaker 1: retirement all at the same all at one time like that.

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Speaker 1: You have to do that all at one time when

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Speaker 1: you have your babies in your late thirties and early forties.

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Speaker 1: Is a fun accounting experiment.

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Speaker 2: Yeah, it's tough out there.

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Speaker 1: I just really ruined everyondnes Day.

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Speaker 5: What a blessing.

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Speaker 2: Oh my god, what a blessing. Wow. The great impression

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00:21:32,640 --> 00:21:36,960
Speaker 2: of the mom not listening at all, just bring bringing

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Speaker 2: the vibes. What a miracle, What a little blessing. Wow,

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00:21:42,840 --> 00:21:46,520
Speaker 2: I'm an immense debt. What a little blessing, And what

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00:21:46,600 --> 00:21:49,560
Speaker 2: a blessing debt is because it just kind of, you know,

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00:21:50,040 --> 00:21:55,440
Speaker 2: discomfort brings us into our own bodies. Yes, all right,

403
00:21:55,760 --> 00:21:58,080
Speaker 2: let's take a quick break and we'll come back and

404
00:21:59,320 --> 00:22:04,600
Speaker 2: get well together or get ourselves together, and we will

405
00:22:04,640 --> 00:22:08,359
Speaker 2: respond to the debate, uh and the fallout from the debate.

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Speaker 2: In baby talk, we will be black white whack, and

407
00:22:26,280 --> 00:22:35,919
Speaker 2: we're black and everybody watched the debate. Yeah, to watch it, rewatch.

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00:22:36,000 --> 00:22:39,320
Speaker 2: It didn't actually take in any Twitter commentary, made my

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Speaker 2: own judgments. Uh, and I'm still an undecided voter.

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Speaker 7: No.

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Speaker 2: I keep saying this because the New York Times the headline.

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Speaker 2: So if you go to that, like conservative places like

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Speaker 2: the Drudge Report, their response was like, oh my god,

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Speaker 2: Trump totally tanked that. You go to the New York Times,

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00:22:55,960 --> 00:23:03,400
Speaker 2: They're like, some may think Trump lost that debate. Undecided voters, Yeah,

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00:23:03,800 --> 00:23:10,120
Speaker 2: undecided voters less certain. And then this yesterday morning, they

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Speaker 2: published this episode of their podcast that perfectly crystallized why

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Speaker 2: I think their obsession with undecided voters is so funny.

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Speaker 2: Uh they well, so, first of all, immediately after they

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Speaker 2: had their five they have just these five people who

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Speaker 2: are undecided. One of them is undecided because they're not

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Speaker 2: paying attention to the election and keep being like, I

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Speaker 2: don't know, man, I'm like, knock into politics, leave me alone.

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00:23:39,119 --> 00:23:44,080
Speaker 2: But yeah, that that is like one of their talking

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Speaker 2: heads about the election that they keep coming back to.

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Speaker 5: Interesting, what a miracle and then.

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Speaker 2: What a miracle? Such a blessing even talking about So

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00:23:57,119 --> 00:24:00,800
Speaker 2: they also dropped this episode of their podcast. Uh, the

429
00:24:00,920 --> 00:24:05,600
Speaker 2: rum up where they literally go to JD Vance's hometown, uh,

430
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Speaker 2: and a watch party. They throw a watch party for

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Speaker 2: two people who are undecided, so they're like buying. They're

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00:24:14,720 --> 00:24:19,600
Speaker 2: rewarding these people who are somehow still undecided about what

433
00:24:19,680 --> 00:24:23,679
Speaker 2: they think about Donald Trump. They're like bringing them snacks

434
00:24:23,960 --> 00:24:32,520
Speaker 2: and food to like throwing a little party for that.

435
00:24:33,080 --> 00:24:38,960
Speaker 2: It's so beneficial to be undecided somehow. Like you can

436
00:24:39,040 --> 00:24:42,080
Speaker 2: hear them the person like thanking the New York Times

437
00:24:42,119 --> 00:24:44,000
Speaker 2: for the snacks they brought. They're like, oh, you brought

438
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Speaker 2: the red ones. I couldn't find them. Thank you so much.

439
00:24:46,200 --> 00:24:51,200
Speaker 2: I love them. And then they interview them and the

440
00:24:51,280 --> 00:24:54,640
Speaker 2: husband is like full Trump voter and the woman is

441
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Speaker 2: leaning Trump. And then just like the interview, the person's

442
00:25:00,800 --> 00:25:04,520
Speaker 2: finally like, okay, so what is Trump's because she keeps

443
00:25:04,560 --> 00:25:06,399
Speaker 2: being like, yeah, she was good on this, she was

444
00:25:06,440 --> 00:25:11,240
Speaker 2: good on this. I'm a pro choice. And the person's like, okay,

445
00:25:11,320 --> 00:25:17,240
Speaker 2: so what is Trump's biggest plus for you? And she's like, huh,

446
00:25:17,760 --> 00:25:24,400
Speaker 2: he does seem to want to better immigration. Oh wow,

447
00:25:25,080 --> 00:25:28,719
Speaker 2: that's not a big issue for me, but it's his

448
00:25:28,880 --> 00:25:32,240
Speaker 2: biggest talking point and it can't be denied, and it

449
00:25:32,280 --> 00:25:36,399
Speaker 2: can't be ignored. So it's just like racism. It's just

450
00:25:36,440 --> 00:25:39,159
Speaker 2: like that. It's just all like he's willing to be

451
00:25:39,320 --> 00:25:43,640
Speaker 2: racist in public essentially, and they are, yeah, and they

452
00:25:43,720 --> 00:25:47,720
Speaker 2: are willing to, you know, go and throw a party

453
00:25:47,760 --> 00:25:50,720
Speaker 2: for these people so that they will like talk on

454
00:25:50,760 --> 00:25:51,240
Speaker 2: the record.

455
00:25:51,480 --> 00:25:54,800
Speaker 3: But have you considered that he is running against someone

456
00:25:54,840 --> 00:25:58,000
Speaker 3: who is black and Indian? Have you considered that maybe

457
00:25:58,040 --> 00:25:59,720
Speaker 3: that's dissuading her?

458
00:26:00,160 --> 00:26:01,600
Speaker 5: It's not whatever you just said.

459
00:26:03,160 --> 00:26:06,040
Speaker 1: What if the White House smells like delicious.

460
00:26:05,480 --> 00:26:07,080
Speaker 2: Food right.

461
00:26:08,520 --> 00:26:09,720
Speaker 5: In the fucking White House?

462
00:26:09,760 --> 00:26:11,240
Speaker 1: Again, what are we gonna do?

463
00:26:12,600 --> 00:26:14,760
Speaker 5: We're gonna take our spices.

464
00:26:16,280 --> 00:26:18,639
Speaker 2: So there's a Twitter account called Decoding fox News that

465
00:26:18,760 --> 00:26:23,240
Speaker 2: Decoding fox News and they uh put together a fun

466
00:26:23,280 --> 00:26:28,520
Speaker 2: little reel of first like a quick cut together of

467
00:26:28,680 --> 00:26:32,480
Speaker 2: the vibes before the debate where they're all just like,

468
00:26:32,600 --> 00:26:36,280
Speaker 2: here's what's gonna happen. Trump's about to fucking mop the floor,

469
00:26:37,200 --> 00:26:40,320
Speaker 2: and then right after. So I just thought this was

470
00:26:40,400 --> 00:26:41,440
Speaker 2: kind of helpful.

471
00:26:41,880 --> 00:26:43,920
Speaker 3: I just love that they're so dumb that they would

472
00:26:43,960 --> 00:26:46,240
Speaker 3: think that. But like, I know that they have to

473
00:26:46,280 --> 00:26:48,080
Speaker 3: say it, but I do think some of them are

474
00:26:48,119 --> 00:26:51,000
Speaker 3: genuinely surprised every time he disappoints them, And that's really

475
00:26:51,000 --> 00:26:54,119
Speaker 3: funny to me, right, I mean.

476
00:26:54,040 --> 00:26:58,280
Speaker 1: It's all bizarre to me because he was very disappointing

477
00:26:58,320 --> 00:27:04,879
Speaker 1: the first time with Biden, just in general as a president, yeah,

478
00:27:05,119 --> 00:27:07,840
Speaker 1: in general as a president, and then also with Biden,

479
00:27:08,000 --> 00:27:13,240
Speaker 1: he was already like ranting and out there and not

480
00:27:13,440 --> 00:27:16,600
Speaker 1: making any coherent sense because he was just like a racist,

481
00:27:16,840 --> 00:27:23,520
Speaker 1: ranting lunatic. But like now Republicans are like, you know,

482
00:27:23,640 --> 00:27:26,280
Speaker 1: I really am seeing him differently, Like what are you

483
00:27:26,400 --> 00:27:31,240
Speaker 1: talking about? Like nothing actually has changed, It's just whatever

484
00:27:31,960 --> 00:27:37,360
Speaker 1: gigantic media conglomerate is going to acknowledge it is now.

485
00:27:37,440 --> 00:27:40,440
Speaker 2: Yeah, yeah, yeah, And the New York Times is doing

486
00:27:40,480 --> 00:27:44,600
Speaker 2: their best to not acknowledge it by filtering everything through

487
00:27:44,640 --> 00:27:46,919
Speaker 2: the eyes of somebody who's planning to vote for Trump.

488
00:27:47,000 --> 00:27:50,360
Speaker 2: But Fox News is I thought those was just kind

489
00:27:50,359 --> 00:27:54,240
Speaker 2: of informative to see vibes before vibes after. So we'll

490
00:27:54,240 --> 00:27:55,480
Speaker 2: just skip around here a little bit.

491
00:27:55,800 --> 00:27:59,000
Speaker 8: You say, debates maybe don't move the needle that much.

492
00:27:59,000 --> 00:28:01,960
Speaker 8: In the big picture, this seems like it's bigger. But

493
00:28:02,040 --> 00:28:04,520
Speaker 8: I think on the getting under his skin point, that's

494
00:28:04,560 --> 00:28:07,119
Speaker 8: really her only card to play. I didn't say what

495
00:28:07,160 --> 00:28:10,040
Speaker 8: his advice was, but it is so stunning. And you

496
00:28:10,080 --> 00:28:13,639
Speaker 8: saw that timeline piece seventy five days ago. We were

497
00:28:13,680 --> 00:28:17,080
Speaker 8: on this set watching him come out for that first

498
00:28:17,119 --> 00:28:19,399
Speaker 8: debate and the entire race changed.

499
00:28:19,440 --> 00:28:21,240
Speaker 9: You were on set, all of us the last time.

500
00:28:21,280 --> 00:28:24,280
Speaker 2: There is going to be a big Jessie. For some reason.

501
00:28:24,320 --> 00:28:26,840
Speaker 10: At first before the debate, I said, I don't think

502
00:28:26,840 --> 00:28:30,359
Speaker 10: it's this debate's going to change much thanks relying.

503
00:28:30,480 --> 00:28:31,880
Speaker 8: So I don't know if you really want to hear

504
00:28:31,920 --> 00:28:34,320
Speaker 8: what I have to say, Give a shot, Give it

505
00:28:34,359 --> 00:28:34,720
Speaker 8: a shot.

506
00:28:35,200 --> 00:28:37,720
Speaker 10: This is going to be so unpredictable because both of

507
00:28:37,760 --> 00:28:41,520
Speaker 10: these people can self destruct. We've seen Trump blow himself up.

508
00:28:41,880 --> 00:28:44,760
Speaker 10: You've seen Kamala blow herself up and just went wander

509
00:28:44,840 --> 00:28:47,920
Speaker 10: around and search for things to say and maybe land it.

510
00:28:47,960 --> 00:28:50,240
Speaker 10: Are they going to fact check Trump live? If you

511
00:28:50,280 --> 00:28:53,280
Speaker 10: had said ten years ago the Democrat nominee would support that,

512
00:28:53,640 --> 00:28:54,880
Speaker 10: I would have said you were cuckoo.

513
00:28:55,120 --> 00:28:56,600
Speaker 11: I have a feeling that he'll come out of this

514
00:28:56,800 --> 00:28:59,480
Speaker 11: debate in about the same position with the public that

515
00:28:59,560 --> 00:29:01,560
Speaker 11: he that he holds going into it.

516
00:29:01,720 --> 00:29:05,560
Speaker 9: You have to assume that he won't be bellicos and pugnacious.

517
00:29:05,040 --> 00:29:08,000
Speaker 2: So you have to assume he won't be bellicose and pugnacious.

518
00:29:08,000 --> 00:29:11,520
Speaker 2: And then they bring in Sean Hannity. Here comes Hannity say,

519
00:29:11,720 --> 00:29:13,800
Speaker 2: just laying down like this is what we think his

520
00:29:13,920 --> 00:29:16,520
Speaker 2: challenges are and how we think he'll do with those challenges.

521
00:29:16,600 --> 00:29:19,320
Speaker 12: Aamala Harris tries to make him angry, not to get angry,

522
00:29:19,520 --> 00:29:23,440
Speaker 12: and how angry stays calm. I think it could definitely

523
00:29:23,480 --> 00:29:26,280
Speaker 12: be a big night for Do I think that she

524
00:29:26,400 --> 00:29:29,080
Speaker 12: will be able to rattle him in any way? I

525
00:29:29,120 --> 00:29:32,120
Speaker 12: would argue right now, the chance is zero points zero

526
00:29:32,320 --> 00:29:33,720
Speaker 12: zero one percent.

527
00:29:34,120 --> 00:29:36,200
Speaker 2: So I like that there.

528
00:29:36,720 --> 00:29:39,760
Speaker 3: He's genuinely that's the reason they're discussing that is because

529
00:29:39,760 --> 00:29:41,240
Speaker 3: they are afraid he's going to lose his.

530
00:29:41,200 --> 00:29:46,960
Speaker 2: Shit, right, they're afraid. But Hannity is laying the odds

531
00:29:46,960 --> 00:29:50,160
Speaker 2: that she's able to do that at a pretty startling

532
00:29:50,560 --> 00:29:54,200
Speaker 2: zero points zero zero one percent that she will be

533
00:29:54,280 --> 00:30:00,240
Speaker 2: able to rattle him at all. And then post debate, Yeah,

534
00:30:00,360 --> 00:30:06,240
Speaker 2: people seem a little less confident and sure of how

535
00:30:06,280 --> 00:30:06,959
Speaker 2: that went before him.

536
00:30:07,040 --> 00:30:09,440
Speaker 8: President Trump did take a lot of the bait that

537
00:30:09,520 --> 00:30:11,560
Speaker 8: she threw out in some of those answers.

538
00:30:11,720 --> 00:30:14,560
Speaker 13: Has to be said that she was really never held

539
00:30:14,840 --> 00:30:19,000
Speaker 13: to the fire she was not pressed by the moderators

540
00:30:19,080 --> 00:30:22,600
Speaker 13: on her past positions and how she got from a

541
00:30:23,160 --> 00:30:26,760
Speaker 13: very progressive, most progressive senator to where she is now,

542
00:30:27,480 --> 00:30:28,880
Speaker 13: and that falls on ABC.

543
00:30:29,360 --> 00:30:32,240
Speaker 2: So then we get to Breed Hume, who went in saying, like,

544
00:30:32,280 --> 00:30:34,400
Speaker 2: I think he's going to be fine. I don't see

545
00:30:34,400 --> 00:30:37,600
Speaker 2: this debate mattering much or that like I think they'll

546
00:30:37,600 --> 00:30:38,160
Speaker 2: both be fine.

547
00:30:38,240 --> 00:30:39,320
Speaker 11: Make no mistake about it.

548
00:30:39,520 --> 00:30:40,840
Speaker 2: Trump had a bad night Oop.

549
00:30:41,280 --> 00:30:44,840
Speaker 11: He rose to debate repeatedly when she baited him something

550
00:30:44,920 --> 00:30:47,280
Speaker 11: I'm sure his advisors had begged him not to do.

551
00:30:48,320 --> 00:30:50,400
Speaker 11: You know, in the first debate when Biden attacked him,

552
00:30:50,800 --> 00:30:53,400
Speaker 11: he just kept as cool and kept going. And this

553
00:30:54,000 --> 00:30:56,240
Speaker 11: debate he rose to a debate, and we heard so

554
00:30:56,400 --> 00:30:59,080
Speaker 11: many of the old grievances that we'd long thought that

555
00:30:59,120 --> 00:31:01,680
Speaker 11: Trump had learned were winners politically.

556
00:31:01,280 --> 00:31:04,320
Speaker 12: The biggest loser in the debate. And we talked about

557
00:31:04,320 --> 00:31:05,400
Speaker 12: this pre debate.

558
00:31:05,600 --> 00:31:10,240
Speaker 9: Is ABC got reaction from Republican friends. The two common

559
00:31:10,280 --> 00:31:12,800
Speaker 9: things were train wreck and he needs this to end.

560
00:31:13,360 --> 00:31:15,840
Speaker 9: I've never heard Donald Trump not be definitive about a

561
00:31:15,840 --> 00:31:18,680
Speaker 9: set of points. He said, I have concepts of a plan.

562
00:31:19,000 --> 00:31:19,880
Speaker 1: Oh my god.

563
00:31:20,600 --> 00:31:23,239
Speaker 2: So this is Fox News and they're like, yeah, I'm

564
00:31:23,240 --> 00:31:26,880
Speaker 2: getting text messages like so obviously they have their talking

565
00:31:26,920 --> 00:31:29,080
Speaker 2: points of like what they want to say. ABC News

566
00:31:29,120 --> 00:31:32,560
Speaker 2: did bad job. But then they're like, but people are

567
00:31:32,680 --> 00:31:37,360
Speaker 2: using words like train wreck and how do I make stop?

568
00:31:37,480 --> 00:31:38,120
Speaker 2: For Trump?

569
00:31:38,960 --> 00:31:41,800
Speaker 5: I loved the concept of a plan thing.

570
00:31:42,080 --> 00:31:43,960
Speaker 3: I love that so much because we can all relate

571
00:31:44,000 --> 00:31:47,320
Speaker 3: to that, Like that is very la, that is very like, yeah,

572
00:31:47,400 --> 00:31:49,240
Speaker 3: I have a concept of a plan. That's like what

573
00:31:49,320 --> 00:31:51,600
Speaker 3: Stuffian Stevens said when he was like, I'm gonna make

574
00:31:51,640 --> 00:31:53,720
Speaker 3: albums about every fifty states, you know what I mean,

575
00:31:54,200 --> 00:31:55,960
Speaker 3: all the fifty states. I have a concept of a

576
00:31:56,000 --> 00:31:59,120
Speaker 3: plan for it, which I love that. That is so

577
00:31:59,120 --> 00:31:59,600
Speaker 3: so good.

578
00:32:00,080 --> 00:32:02,120
Speaker 2: It is so good. It also does seem to be

579
00:32:02,360 --> 00:32:05,640
Speaker 2: uh probably checking in with our undecided voters on the

580
00:32:05,640 --> 00:32:07,960
Speaker 2: New York Times, that does seem to be a point

581
00:32:08,080 --> 00:32:11,120
Speaker 2: that really stuck with people where they were like because

582
00:32:11,160 --> 00:32:14,120
Speaker 2: like one of the arguments people have like given themselves

583
00:32:14,160 --> 00:32:17,120
Speaker 2: for like how they can justify voting for Trump was

584
00:32:17,120 --> 00:32:20,920
Speaker 2: that like, well, he's definitive, he's a decider. He fired

585
00:32:20,960 --> 00:32:24,320
Speaker 2: all those people on the TV, so he's like a

586
00:32:24,360 --> 00:32:28,280
Speaker 2: definitive person. And that line really fucked with people and

587
00:32:28,360 --> 00:32:30,600
Speaker 2: The other thing they really seemed to respond to in

588
00:32:30,640 --> 00:32:33,200
Speaker 2: the very small sample size that the New York Times uses,

589
00:32:33,520 --> 00:32:36,400
Speaker 2: is like her going up and introducing herself, They're like, damn,

590
00:32:36,880 --> 00:32:40,240
Speaker 2: that was very assertive and cool of her.

591
00:32:40,920 --> 00:32:44,600
Speaker 3: That's like, I think that's like an example of like

592
00:32:44,720 --> 00:32:47,400
Speaker 3: how people because we were talking about like who they're

593
00:32:47,440 --> 00:32:51,560
Speaker 3: gonna side with whenever, however the wind blows or whatever,

594
00:32:51,720 --> 00:32:54,600
Speaker 3: but it's literally whoever looks more powerful, because that's what

595
00:32:54,720 --> 00:32:57,960
Speaker 3: like the Republicans are all about, is power. So it's

596
00:32:58,200 --> 00:33:00,720
Speaker 3: when going in they're like, oh, like he's going to

597
00:33:00,760 --> 00:33:03,320
Speaker 3: look more powerful whatever, that's all we care about, and

598
00:33:03,360 --> 00:33:05,400
Speaker 3: then coming out they're like, oh, she actually did look

599
00:33:05,440 --> 00:33:08,000
Speaker 3: more powerful, and like she's like laughing at him, but

600
00:33:08,120 --> 00:33:10,880
Speaker 3: like not too much or whatever. She had like those

601
00:33:10,920 --> 00:33:13,280
Speaker 3: lines about how eighty million people fired him.

602
00:33:13,680 --> 00:33:14,120
Speaker 2: She did.

603
00:33:14,200 --> 00:33:16,680
Speaker 3: Like there were times where I was like, she is

604
00:33:17,040 --> 00:33:19,440
Speaker 3: kind of attacking him when she needs to talk more policy,

605
00:33:20,240 --> 00:33:25,440
Speaker 3: but she did come out looking stronger than him, especially

606
00:33:25,480 --> 00:33:27,880
Speaker 3: when he was able to be so easily baited about

607
00:33:27,920 --> 00:33:30,480
Speaker 3: his rally numbers and all of that shit, Like he

608
00:33:30,560 --> 00:33:33,440
Speaker 3: just looked weak as hell and they will let it go. Yeah,

609
00:33:33,520 --> 00:33:36,720
Speaker 3: And that's what rattles like Fox News, They're like, I

610
00:33:36,720 --> 00:33:37,680
Speaker 3: thought he's a winner.

611
00:33:37,840 --> 00:33:42,840
Speaker 5: We don't like losers, so that what moves Yeah.

612
00:33:43,320 --> 00:33:46,760
Speaker 2: I just like this moment where they're like Jesse Waters,

613
00:33:46,840 --> 00:33:49,800
Speaker 2: our number one person who has told us dringing out

614
00:33:49,800 --> 00:33:53,840
Speaker 2: of straws and eating soup is for beta males. What

615
00:33:54,280 --> 00:33:56,200
Speaker 2: do you say? What say you, sir?

616
00:33:56,720 --> 00:33:58,960
Speaker 10: I don't think the American people are watching and thinking

617
00:33:59,000 --> 00:33:59,840
Speaker 10: any of these people.

618
00:34:01,680 --> 00:34:05,560
Speaker 2: I don't think the American people think, hey, these people won.

619
00:34:06,880 --> 00:34:09,520
Speaker 1: It's a good impression, but didn't have like a rhythm.

620
00:34:10,080 --> 00:34:12,920
Speaker 2: Yeah, so that was the general vibes is like somewhere

621
00:34:12,920 --> 00:34:15,719
Speaker 2: between God, that was a bad look for our guy,

622
00:34:16,320 --> 00:34:20,560
Speaker 2: and I don't think anybody watching that didn't to anybody want.

623
00:34:20,760 --> 00:34:23,080
Speaker 3: Trump did come on to Fox News and he was

624
00:34:23,200 --> 00:34:25,880
Speaker 3: like he kept saying that all the polls said he

625
00:34:25,960 --> 00:34:28,080
Speaker 3: won like ninety to ten, eighty to twenty like what

626
00:34:28,239 --> 00:34:28,719
Speaker 3: he was like.

627
00:34:28,680 --> 00:34:31,040
Speaker 5: We said, and then he was like, we sent over

628
00:34:31,160 --> 00:34:34,480
Speaker 5: polls to you and you can check them.

629
00:34:34,719 --> 00:34:37,359
Speaker 3: All of the polls we sent you basically said that

630
00:34:37,400 --> 00:34:37,799
Speaker 3: we won.

631
00:34:38,400 --> 00:34:40,520
Speaker 2: Yes, So yeah, I want to get to that moment

632
00:34:40,600 --> 00:34:43,080
Speaker 2: where he just came out to do the spin room

633
00:34:43,160 --> 00:34:46,760
Speaker 2: stuff because and seemed to be just saying numbers at random.

634
00:34:47,440 --> 00:34:51,480
Speaker 2: But uh, just in response to the I don't think

635
00:34:51,560 --> 00:34:55,080
Speaker 2: any American people saw that, I think anybody won. Washington

636
00:34:55,120 --> 00:34:59,279
Speaker 2: Post reported that a you gov poll showed Kamala one

637
00:34:59,400 --> 00:35:03,040
Speaker 2: fifty four to thirty one from people. CNN had her

638
00:35:03,280 --> 00:35:08,160
Speaker 2: winning sixty three to thirty seven percent. Like when you

639
00:35:08,200 --> 00:35:13,640
Speaker 2: think about how evenly divided, like it's a meme that like, uh,

640
00:35:14,360 --> 00:35:16,319
Speaker 2: you know, one of the sides seems to be free

641
00:35:16,320 --> 00:35:19,360
Speaker 2: puppies for everyone, the other side seems to be a

642
00:35:19,800 --> 00:35:23,360
Speaker 2: diarrhea forever. And it's like fifty one to fifty percent.

643
00:35:23,880 --> 00:35:27,680
Speaker 2: We have it like neck and neck. It's just wild

644
00:35:27,800 --> 00:35:32,200
Speaker 2: how close every single presidential election is Obama over McCain,

645
00:35:32,280 --> 00:35:35,760
Speaker 2: which is like the last time there was anything described

646
00:35:35,800 --> 00:35:39,640
Speaker 2: as a landslide, Obama got fifty two percent of the vote,

647
00:35:39,760 --> 00:35:43,920
Speaker 2: So like that's a massive landslide. So just like those

648
00:35:44,400 --> 00:35:48,320
Speaker 2: types of numbers in response to the debate are pretty

649
00:35:48,360 --> 00:35:51,680
Speaker 2: staggering that it would be sixty three to thirty seven. Also,

650
00:35:51,840 --> 00:35:56,160
Speaker 2: thirty one percent of Trump supporters said he lost.

651
00:35:55,560 --> 00:35:57,399
Speaker 5: Wow, which is but they don't care.

652
00:35:57,840 --> 00:36:00,720
Speaker 2: But they don't care, like not that they're changed anything,

653
00:36:01,000 --> 00:36:04,719
Speaker 2: but that is you know, I think noteworthy. So it's

654
00:36:04,800 --> 00:36:08,960
Speaker 2: just funny in comparison with the moment after the debate

655
00:36:08,960 --> 00:36:12,440
Speaker 2: where Trump came out and he first of all, he's

656
00:36:12,520 --> 00:36:16,600
Speaker 2: unmiked for some reason, and he's just yelling at reporters.

657
00:36:16,840 --> 00:36:20,720
Speaker 2: We had a great debate. I won, clearly. I'm getting

658
00:36:20,800 --> 00:36:25,880
Speaker 2: polling eighty six summer saying ninety two. I've heard the

659
00:36:26,000 --> 00:36:27,000
Speaker 2: number eighty two.

660
00:36:27,560 --> 00:36:29,160
Speaker 5: That's like, how old we think he is.

661
00:36:31,160 --> 00:36:33,440
Speaker 2: I was wondering, because they were in Philadelphia. I was

662
00:36:33,840 --> 00:36:36,080
Speaker 2: wondering if he was like looking at the last time,

663
00:36:36,480 --> 00:36:39,239
Speaker 2: like at the banners in the arena at the last

664
00:36:39,239 --> 00:36:42,960
Speaker 2: time the seventy six ers, like won anything was like

665
00:36:43,160 --> 00:36:47,160
Speaker 2: the eighties sports jokes self phoned for a self loathing

666
00:36:47,200 --> 00:36:50,319
Speaker 2: Sixers fan. But yeah, I don't know. I guess it

667
00:36:50,400 --> 00:36:54,000
Speaker 2: wasn't a total Kaisersos situation. There was. There was a

668
00:36:54,040 --> 00:36:59,439
Speaker 2: fair and balanced Newsmax snap poll of people who were

669
00:36:59,480 --> 00:37:03,120
Speaker 2: on New Max during the debate, and ninety three percent

670
00:37:03,160 --> 00:37:04,520
Speaker 2: of them said he won.

671
00:37:04,880 --> 00:37:07,719
Speaker 1: So I will say something that is kind of surprising

672
00:37:07,760 --> 00:37:10,279
Speaker 1: to me this election, just even going into it at all,

673
00:37:11,280 --> 00:37:16,719
Speaker 1: is how underfunded and just not at all funded. A

674
00:37:16,800 --> 00:37:22,200
Speaker 1: lot of graphic design and artistic messaging is going into

675
00:37:22,200 --> 00:37:22,720
Speaker 1: the election.

676
00:37:23,160 --> 00:37:27,239
Speaker 2: It is wild how little money that we were talking

677
00:37:27,280 --> 00:37:30,520
Speaker 2: on yesterday's episode, Andrew t was on and he was

678
00:37:30,520 --> 00:37:35,040
Speaker 2: talking about how it is mind boggling how bad Elon

679
00:37:35,200 --> 00:37:38,840
Speaker 2: Musk is at posting when he has enough money to

680
00:37:39,080 --> 00:37:45,359
Speaker 2: hot just higher away the entire Abbott Elementary writers room. Yeah,

681
00:37:45,400 --> 00:37:47,759
Speaker 2: to write every single one of his tweets for him,

682
00:37:48,000 --> 00:37:48,759
Speaker 2: like he could.

683
00:37:49,040 --> 00:37:50,640
Speaker 1: He as a narcissist, He's not going to do.

684
00:37:50,880 --> 00:37:53,920
Speaker 2: Yeah, I know, but like, yeah, the amount that they

685
00:37:54,000 --> 00:37:58,040
Speaker 2: could put into content and yet they like the graphic design,

686
00:37:58,239 --> 00:38:00,560
Speaker 2: like you're saying, any the writing.

687
00:38:01,160 --> 00:38:04,200
Speaker 3: Jason Derulo on TikTok where they had like remember how

688
00:38:04,239 --> 00:38:07,239
Speaker 3: he just like went from doing he the reason he

689
00:38:07,280 --> 00:38:09,719
Speaker 3: became like he had this big like leap again in

690
00:38:09,760 --> 00:38:13,160
Speaker 3: popularity was because he was like hiring camera crews to

691
00:38:13,200 --> 00:38:15,360
Speaker 3: make his Yeah.

692
00:38:15,400 --> 00:38:17,879
Speaker 1: Well, and then even on the nonprofit scale, like in

693
00:38:17,920 --> 00:38:20,719
Speaker 1: my world, where we have like you know, groups of

694
00:38:20,760 --> 00:38:23,640
Speaker 1: nonprofits that come and like ask comedians to like put

695
00:38:23,640 --> 00:38:26,399
Speaker 1: together a thing or ask artists to put together a thing,

696
00:38:26,440 --> 00:38:29,320
Speaker 1: it's just not happening like on the same scale anywhere

697
00:38:29,320 --> 00:38:32,320
Speaker 1: near the same scale as previous elections.

698
00:38:32,360 --> 00:38:36,200
Speaker 2: Plural, Yeah, they're like we got this. We've seen Trump.

699
00:38:36,239 --> 00:38:38,200
Speaker 2: Trump just flies off the handle so.

700
00:38:38,440 --> 00:38:42,759
Speaker 3: Clearly Kendrick sand because he doesn't appreciate ghost writers so.

701
00:38:44,680 --> 00:38:44,919
Speaker 2: Well.

702
00:38:45,000 --> 00:38:47,840
Speaker 1: I do wonder, like how much of it is a

703
00:38:48,719 --> 00:38:53,840
Speaker 1: has to do with the sort of romy Yusuff and

704
00:38:54,000 --> 00:38:57,440
Speaker 1: Susan Sarandon and a bunch of folks just came out

705
00:38:57,480 --> 00:39:02,279
Speaker 1: talking about McCarthyism in Hollywood, And a lot of these

706
00:39:02,320 --> 00:39:07,880
Speaker 1: nonprofits are right now coping and managing Zionism, and the

707
00:39:08,040 --> 00:39:11,520
Speaker 1: sort of huge gag order on talking about genocide at

708
00:39:11,520 --> 00:39:19,080
Speaker 1: all in Gaza has really rattled the arts in the

709
00:39:19,120 --> 00:39:22,520
Speaker 1: nonprofit sector. And there's just folks that I thought would

710
00:39:22,560 --> 00:39:26,080
Speaker 1: be working right now, like would be funded and would

711
00:39:26,080 --> 00:39:29,759
Speaker 1: be putting out content and there'd be like campaigning and conversation,

712
00:39:30,000 --> 00:39:31,280
Speaker 1: and there's just like nothing.

713
00:39:31,840 --> 00:39:31,960
Speaker 13: Ye.

714
00:39:32,440 --> 00:39:35,080
Speaker 3: That's also why I'm not successful. It's because of my

715
00:39:35,800 --> 00:39:36,239
Speaker 3: not my.

716
00:39:36,840 --> 00:39:41,759
Speaker 5: Ability, the gag order totally totally free pulab.

717
00:39:41,640 --> 00:39:46,480
Speaker 2: Please, yes, all right, let's take a quick break and

718
00:39:46,680 --> 00:40:00,160
Speaker 2: we'll come back and we'll talk about the bees and

719
00:40:00,239 --> 00:40:03,760
Speaker 2: we're back. Are either of you fans of the Network

720
00:40:03,840 --> 00:40:05,399
Speaker 2: TV show nine to one one?

721
00:40:05,960 --> 00:40:09,799
Speaker 1: I am unfamiliar, I am undecided.

722
00:40:13,480 --> 00:40:15,480
Speaker 2: All right, we're gonna We're gonna come over the New

723
00:40:15,560 --> 00:40:17,760
Speaker 2: York Times and I are gonna come over. We're gonna

724
00:40:18,040 --> 00:40:22,200
Speaker 2: make nachos for you. You can, you can just tell us

725
00:40:22,239 --> 00:40:26,319
Speaker 2: the ingredients that you're interested in, will make nachos for you.

726
00:40:26,760 --> 00:40:32,279
Speaker 2: We will watch the show with you, and actually, so

727
00:40:32,520 --> 00:40:35,560
Speaker 2: that's not entirely true. You will watch the show while

728
00:40:35,600 --> 00:40:39,000
Speaker 2: we watch you and take diligent notes of what you

729
00:40:39,040 --> 00:40:43,040
Speaker 2: are doing during during the watching, and then we will

730
00:40:43,040 --> 00:40:45,879
Speaker 2: feed the nachos to you while you kind of make

731
00:40:45,960 --> 00:40:48,200
Speaker 2: up your mind and just relax. We want to keep

732
00:40:48,239 --> 00:40:58,040
Speaker 2: you feed, okay, always, let's get the fuck out of here,

733
00:40:58,440 --> 00:41:05,400
Speaker 2: like Michael Barbarow. So this is a trailer that has

734
00:41:05,440 --> 00:41:10,920
Speaker 2: been playing across various sporting events and TV shows for

735
00:41:11,040 --> 00:41:15,360
Speaker 2: the upcoming season of the TV show nine one one,

736
00:41:16,160 --> 00:41:18,640
Speaker 2: And I guess, I guess I'll just play it for

737
00:41:18,680 --> 00:41:24,239
Speaker 2: you guys. It's pretty pretty good, all right. It says

738
00:41:24,239 --> 00:41:26,880
Speaker 2: the average human cannot survive five hundred beast things. We

739
00:41:26,880 --> 00:41:37,399
Speaker 2: see a single bee joining a be tornado. Now, has

740
00:41:37,400 --> 00:41:42,879
Speaker 2: there ever been a more effective piece of audio than

741
00:41:43,440 --> 00:41:46,960
Speaker 2: nine one one? What's your emergency for me?

742
00:41:47,080 --> 00:41:49,520
Speaker 1: It's all just less effective. I just want to be

743
00:41:49,560 --> 00:41:52,160
Speaker 1: out there saying, I really prefer ants.

744
00:41:54,120 --> 00:41:57,840
Speaker 2: Why didn't they make the case for bees over ants

745
00:41:57,960 --> 00:42:00,520
Speaker 2: as a villain for this episode nine one one?

746
00:42:00,719 --> 00:42:04,400
Speaker 1: Really active, really powerful ants are really diligent?

747
00:42:06,120 --> 00:42:08,160
Speaker 5: Is there is something going on?

748
00:42:08,480 --> 00:42:08,719
Speaker 7: Sorry?

749
00:42:08,719 --> 00:42:11,800
Speaker 2: Go ahead, Jack, I just I was a little worried

750
00:42:11,960 --> 00:42:14,560
Speaker 2: that that wasn't enough information, And this is how I

751
00:42:14,560 --> 00:42:17,040
Speaker 2: took this in. First I saw the teaser, and up next,

752
00:42:17,040 --> 00:42:18,840
Speaker 2: I just want to give you the full thirty seconds

753
00:42:19,640 --> 00:42:24,360
Speaker 2: of an exclusive first look. Be Nato is coming to

754
00:42:24,719 --> 00:42:27,000
Speaker 2: nine to one one on September twenty. Let's do it

755
00:42:29,719 --> 00:42:34,399
Speaker 2: all right, Okay, So what happened there?

756
00:42:34,800 --> 00:42:36,520
Speaker 5: Collins?

757
00:42:36,640 --> 00:42:37,560
Speaker 1: Nice call it?

758
00:42:38,320 --> 00:42:39,920
Speaker 2: And by the way, what they can feel coming in

759
00:42:39,920 --> 00:42:42,120
Speaker 2: the air tonight in case you were wondering.

760
00:42:42,520 --> 00:42:44,719
Speaker 1: I just want to say I would be behind it,

761
00:42:44,800 --> 00:42:46,160
Speaker 1: but I feel like if it was.

762
00:42:46,120 --> 00:42:50,040
Speaker 2: Cicadas, we might be a little bit more scary. And

763
00:42:50,400 --> 00:42:53,839
Speaker 2: it is incumbent on them to change my mind and

764
00:42:53,840 --> 00:42:57,560
Speaker 2: give me the details that will make me realize it

765
00:42:57,560 --> 00:43:00,640
Speaker 2: should be bes instead of cicadas. So that opens with

766
00:43:00,719 --> 00:43:04,520
Speaker 2: a tractor trailer on you know, a mac truck on

767
00:43:05,280 --> 00:43:09,680
Speaker 2: Los Angeles Highway, almost crushing a family, but then instead

768
00:43:09,840 --> 00:43:14,000
Speaker 2: the boxes on the backtip over and slight buzzing sound.

769
00:43:14,160 --> 00:43:17,640
Speaker 10: The truck was calling twenty two million killers, lefties to

770
00:43:17,719 --> 00:43:18,560
Speaker 10: kill forty four.

771
00:43:22,320 --> 00:43:23,120
Speaker 5: No oh not.

772
00:43:23,239 --> 00:43:35,919
Speaker 6: The guy prepared fly away likely, that's right, said, yeah,

773
00:43:36,960 --> 00:43:37,279
Speaker 6: that's right.

774
00:43:37,360 --> 00:43:39,840
Speaker 5: He said it. He said the name of the movie.

775
00:43:39,520 --> 00:43:43,200
Speaker 2: He did. He looked up at the sky, squinted and said,

776
00:43:43,400 --> 00:43:44,880
Speaker 2: it's like a b Nato.

777
00:43:45,680 --> 00:43:48,919
Speaker 1: But the part where they go and they'll just fly

778
00:43:49,000 --> 00:43:49,879
Speaker 1: away not likely?

779
00:43:50,680 --> 00:43:52,959
Speaker 2: What if they just fly away? Not likely?

780
00:43:53,920 --> 00:44:00,880
Speaker 1: The Western fear of retaliation for colonialism, right, I.

781
00:44:00,760 --> 00:44:05,120
Speaker 2: Was thinking about this, like the bent on revenge.

782
00:44:05,400 --> 00:44:11,480
Speaker 3: There's savages and they didn't take the rule of the Sharia.

783
00:44:11,640 --> 00:44:14,960
Speaker 5: They would subscribed to Sharia law bringing it.

784
00:44:15,360 --> 00:44:19,720
Speaker 2: Can we look at the name of the show eleven

785
00:44:20,360 --> 00:44:23,800
Speaker 2: nine eleven and it's just a bunch of flying things

786
00:44:24,400 --> 00:44:27,720
Speaker 2: swarming towards a skyscraper in Julie.

787
00:44:28,160 --> 00:44:30,400
Speaker 3: I want the next one to be about that elephant

788
00:44:30,600 --> 00:44:33,640
Speaker 3: that like the woman who like was bad to the

789
00:44:33,680 --> 00:44:35,640
Speaker 3: elephant and then it killed her and then it stopped

790
00:44:35,640 --> 00:44:37,920
Speaker 3: her out at her funeral, Like, I want that to

791
00:44:38,040 --> 00:44:41,960
Speaker 3: be the next enemy is that fucking dope ass elephant.

792
00:44:42,239 --> 00:44:43,160
Speaker 2: It's just animals.

793
00:44:45,360 --> 00:44:50,160
Speaker 1: Really clear that bees are Muslim. Yeah, and I'm ready

794
00:44:50,200 --> 00:44:52,240
Speaker 1: to claim my brethren.

795
00:44:52,719 --> 00:44:56,080
Speaker 3: Yes, I do think bees are Muslim. I do I

796
00:44:56,440 --> 00:44:59,960
Speaker 3: agree with you. I think they're very clean. They washed

797
00:45:00,080 --> 00:45:02,920
Speaker 3: themselves like with the dew of flowers like five times

798
00:45:02,920 --> 00:45:03,440
Speaker 3: a day.

799
00:45:03,680 --> 00:45:08,040
Speaker 2: Right, you know, unfairly maligned in the mainstream media in

800
00:45:08,080 --> 00:45:08,480
Speaker 2: the West.

801
00:45:09,000 --> 00:45:11,839
Speaker 1: Yeah, and make honey for bub blah blah.

802
00:45:12,200 --> 00:45:14,479
Speaker 2: Oh that's so true, really good at math.

803
00:45:15,000 --> 00:45:17,800
Speaker 1: Yeah, that's what That's the scene that we're not seeing

804
00:45:17,800 --> 00:45:20,200
Speaker 1: here is after they say they'll just fly away, No,

805
00:45:20,320 --> 00:45:22,959
Speaker 1: they won'd and then the bees are like, listen, we've

806
00:45:22,960 --> 00:45:26,440
Speaker 1: made quite a lot of contributions, right, yeah, and they

807
00:45:26,480 --> 00:45:30,160
Speaker 1: put together a whole, you know, little mini trailer of

808
00:45:30,200 --> 00:45:33,600
Speaker 1: all the things that Muslim bees have contributed to the world.

809
00:45:34,080 --> 00:45:36,680
Speaker 3: The FBI is always trying to get into their hives.

810
00:45:39,600 --> 00:45:43,640
Speaker 5: That's why they're called the FBI. They're trying to like him.

811
00:45:44,000 --> 00:45:48,480
Speaker 1: Seventy two virgin drones one queen.

812
00:45:48,680 --> 00:45:53,759
Speaker 2: There are drums they do, There are drugs. Yeah, yeah, interesting. Wow,

813
00:45:54,280 --> 00:45:57,520
Speaker 2: A lot to think about here, folks. We're not here

814
00:45:57,560 --> 00:46:01,040
Speaker 2: to make your decision for you, barah. We're just here

815
00:46:01,080 --> 00:46:04,360
Speaker 2: to kind of present the information, just like kind of

816
00:46:04,440 --> 00:46:08,239
Speaker 2: vibe see where your vibes are shifting. So we appreciate

817
00:46:08,280 --> 00:46:14,320
Speaker 2: you plus me in exchange for nachos, I will pretend

818
00:46:14,880 --> 00:46:19,280
Speaker 2: like I haven't already decided to vote for Trump. Seems

819
00:46:19,320 --> 00:46:23,640
Speaker 2: to be the case anyways, Zara, what a pleasure of

820
00:46:23,680 --> 00:46:28,080
Speaker 2: having you on as always? Where can people find you?

821
00:46:28,280 --> 00:46:29,920
Speaker 2: Follow you all that good stuff?

822
00:46:30,160 --> 00:46:30,319
Speaker 12: Yo?

823
00:46:30,719 --> 00:46:33,640
Speaker 1: You can listen to me or listen to my work

824
00:46:34,360 --> 00:46:39,560
Speaker 1: and support on Lupita and Jongo's new podcast, Mind your Own.

825
00:46:40,680 --> 00:46:44,160
Speaker 1: Shout out to Regina Bidiaco, who is a lot of

826
00:46:44,160 --> 00:46:48,360
Speaker 1: the brains and heart behind this project. And I'm working

827
00:46:48,400 --> 00:46:51,200
Speaker 1: on a book, so you haven't seen me as much

828
00:46:51,280 --> 00:46:55,319
Speaker 1: on the media's because I'm taking a time machine back

829
00:46:55,360 --> 00:46:58,160
Speaker 1: through the most painful periods of my life and finding

830
00:46:58,280 --> 00:46:59,840
Speaker 1: joy and amazing.

831
00:47:00,239 --> 00:47:02,160
Speaker 2: Sounds like you have more than just a concept of

832
00:47:02,160 --> 00:47:05,000
Speaker 2: a book. Sounds like you have a whole plan for

833
00:47:05,040 --> 00:47:05,319
Speaker 2: a book.

834
00:47:05,360 --> 00:47:06,720
Speaker 1: I've got concepts.

835
00:47:07,160 --> 00:47:09,440
Speaker 2: Yeah, I have so many concepts of a plan for

836
00:47:09,480 --> 00:47:09,759
Speaker 2: a book.

837
00:47:09,800 --> 00:47:12,239
Speaker 1: How many concepts?

838
00:47:12,560 --> 00:47:13,600
Speaker 5: Ideas? You know what I mean?

839
00:47:13,680 --> 00:47:14,600
Speaker 2: Yeah? Exactly.

840
00:47:14,680 --> 00:47:16,760
Speaker 1: I'm hanging out with a bunch of Muslim bes.

841
00:47:19,960 --> 00:47:22,320
Speaker 2: Is there a work of medias are that you've been enjoying?

842
00:47:23,080 --> 00:47:23,680
Speaker 12: My God, I.

843
00:47:25,280 --> 00:47:29,200
Speaker 1: Want to shout out my friends. Publication Convergence Kaiden Malick.

844
00:47:29,760 --> 00:47:31,879
Speaker 1: You can find them on you can find them on.

845
00:47:33,760 --> 00:47:37,840
Speaker 5: X It's no, it's still Twitter. Just still call it Twitter.

846
00:47:38,120 --> 00:47:39,719
Speaker 5: We're not doing this, Nope.

847
00:47:40,680 --> 00:47:41,160
Speaker 2: I can't.

848
00:47:41,320 --> 00:47:44,279
Speaker 1: Every time I go to do it, I can't do it. Yeah,

849
00:47:44,400 --> 00:47:49,200
Speaker 1: phenomenal work with all kinds of toolkits for the election

850
00:47:50,920 --> 00:47:54,040
Speaker 1: for all you one decided. It's out there some good stuff.

851
00:47:54,320 --> 00:47:56,279
Speaker 1: Maybe not nachos, but just as good.

852
00:47:56,560 --> 00:48:03,080
Speaker 2: Amazing pleasure having you, joy, Thank you toast. Where can

853
00:48:03,080 --> 00:48:04,920
Speaker 2: people find you? And is there a work of media

854
00:48:05,000 --> 00:48:06,320
Speaker 2: that you've been enjoying?

855
00:48:06,800 --> 00:48:09,840
Speaker 3: Yes, I am at polavigonal and p A L l

856
00:48:09,920 --> 00:48:11,920
Speaker 3: A v I g U n A l A n

857
00:48:12,120 --> 00:48:15,600
Speaker 3: everywhere and Facial Recognition Comedy is coming up on the

858
00:48:15,719 --> 00:48:18,319
Speaker 3: twentieth and hold on, I want to share screen to

859
00:48:18,400 --> 00:48:24,120
Speaker 3: show you this tweet at Miss White XO XO said

860
00:48:24,200 --> 00:48:26,680
Speaker 3: every nine to eleven, this is the only thing I

861
00:48:26,719 --> 00:48:29,560
Speaker 3: can think about. And it's people singing and here we go.

862
00:48:29,800 --> 00:48:34,719
Speaker 2: Oh oh oh, oh, you missed up.

863
00:48:35,520 --> 00:48:38,000
Speaker 1: You'll see what he's got.

864
00:48:39,600 --> 00:48:47,160
Speaker 3: God, You'll see what he's got. And then the they're

865
00:48:47,200 --> 00:48:49,239
Speaker 3: in front of a chalkboard and they're singing this.

866
00:48:49,280 --> 00:48:51,120
Speaker 2: It's like a university classroom.

867
00:48:51,600 --> 00:48:58,560
Speaker 3: Puts your fingers down and goes nine eleven.

868
00:48:58,680 --> 00:49:02,439
Speaker 2: I like to assert that between sentences really quickly.

869
00:49:02,200 --> 00:49:06,719
Speaker 3: You didn't yeah, and then her fingers go down just

870
00:49:06,800 --> 00:49:09,560
Speaker 3: like the towers, and it's like, what the fuck?

871
00:49:10,360 --> 00:49:14,279
Speaker 2: That's just great music teacher direction. You know, where they're

872
00:49:14,280 --> 00:49:15,840
Speaker 2: like I need you up here. You know, they'll like

873
00:49:15,920 --> 00:49:18,640
Speaker 2: slide something in in between like your they're saying, singing,

874
00:49:18,719 --> 00:49:22,200
Speaker 2: sing and I need you up here. But for her

875
00:49:22,280 --> 00:49:28,560
Speaker 2: it was it's really it's truly wild.

876
00:49:28,920 --> 00:49:30,400
Speaker 5: I just needed people to know about.

877
00:49:32,239 --> 00:49:37,200
Speaker 2: All Right, a tweet I've been enjoying from at ron

878
00:49:37,400 --> 00:49:42,040
Speaker 2: U I r O n n U I underscore like

879
00:49:42,120 --> 00:49:45,000
Speaker 2: on Wi ron We, I guess that's pronounced.

880
00:49:45,040 --> 00:49:46,320
Speaker 5: I'm friends with him.

881
00:49:46,560 --> 00:49:48,800
Speaker 2: Ron We underscore Ronnie.

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00:49:48,400 --> 00:49:50,839
Speaker 5: There, Yeah, friends with them?

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00:49:51,520 --> 00:49:55,440
Speaker 2: Yeah. I once pronounced on this show. Actually, I think

884
00:49:55,440 --> 00:49:59,840
Speaker 2: I've probably done it frequently on we as n ui

885
00:50:00,680 --> 00:50:05,840
Speaker 2: so and I just did it again I ron Anyways,

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00:50:06,719 --> 00:50:11,680
Speaker 2: ron just had this public health announcement. Parents, you have

887
00:50:11,800 --> 00:50:15,560
Speaker 2: to vaccinate your children their diseases that we eliminated ages

888
00:50:15,600 --> 00:50:18,080
Speaker 2: ago that are coming back now. I just met a

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00:50:18,160 --> 00:50:23,440
Speaker 2: kid who tested positive for Lynn sanity. Lynn sanity, folks,

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00:50:23,600 --> 00:50:31,200
Speaker 2: another sports joke, sports sports joke, you can find me

891
00:50:31,320 --> 00:50:33,600
Speaker 2: on Twitter at Jack Underscore ol Brian you can find

892
00:50:33,680 --> 00:50:36,319
Speaker 2: us on Twitter at daily Zekeeist. We're at the Daily

893
00:50:36,400 --> 00:50:38,719
Speaker 2: Zekeeist on Instagram. We have a Facebook fan page and

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00:50:38,760 --> 00:50:42,000
Speaker 2: a website, dailyzeikeist dot com, where we post our episodes

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00:50:42,040 --> 00:50:44,720
Speaker 2: and our footnotes where we link off to the information

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00:50:44,800 --> 00:50:47,440
Speaker 2: that we talked about in today's episode, as well as

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00:50:47,440 --> 00:50:51,879
Speaker 2: a song that we think you might enjoy with both

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00:50:51,920 --> 00:50:56,000
Speaker 2: of our normal song recommenders, mister Miles Gray and superducer

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00:50:56,160 --> 00:51:00,440
Speaker 2: justin Out Brian the editor filling in, Is there a

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00:51:00,480 --> 00:51:01,799
Speaker 2: song that you think people might enjoy.

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00:51:02,640 --> 00:51:06,880
Speaker 7: Yeah, me and my partner have been enjoying DJ Assault.

902
00:51:06,960 --> 00:51:13,680
Speaker 7: Shout out to Bay Yeah, reintroducing me to DJ Assault.

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00:51:13,920 --> 00:51:17,120
Speaker 7: This song is called Sex on the Beach. It is

904
00:51:17,280 --> 00:51:23,000
Speaker 7: a fucking banger. It's just it's it's impossible to feel

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00:51:23,000 --> 00:51:24,600
Speaker 7: sad or in a bad mood when you put on

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00:51:24,640 --> 00:51:27,000
Speaker 7: this song, So check it out, Sex on the Beach

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00:51:27,160 --> 00:51:28,120
Speaker 7: DJ Assault.

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00:51:28,719 --> 00:51:32,239
Speaker 2: All right, we will link off to that in the footnotes.

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00:51:32,280 --> 00:51:34,960
Speaker 2: The Daily Zeitgeist is the production of iHeartRadio. For more

910
00:51:35,000 --> 00:51:38,480
Speaker 2: podcasts from iHeart Radio, visit the iHeartRadio ab Apple podcast

911
00:51:38,560 --> 00:51:41,040
Speaker 2: or wherever if I'm podcasting, giving away for free. That

912
00:51:41,200 --> 00:51:43,439
Speaker 2: is going to do it for us this week. We

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00:51:43,680 --> 00:51:48,920
Speaker 2: are done for this week. We will have a the

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00:51:48,920 --> 00:51:51,879
Speaker 2: Weekly Zeitgeist, which is a highlight reel of episodes from

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00:51:51,920 --> 00:51:55,919
Speaker 2: this week, dropping tomorrow, and then we will be back

916
00:51:56,040 --> 00:52:00,400
Speaker 2: on Monday morning or Monday afternoon to tell you what

917
00:52:00,520 --> 00:52:02,440
Speaker 2: was trending over the weekend and what's training on Monday

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00:52:02,440 --> 00:52:08,040
Speaker 2: morning and we will talk to you all then Bye bye.

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00:52:08,480 --> 00:52:11,000
Speaker 1: Why why why why

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00:52:15,520 --> 00:52:18,359
Speaker 2: Hm hm