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Speaker 1: Welcome to Brief Recess. I'm Michael Foot, I'm Melissa Melburn.

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Speaker 1: Today we're going to talk about the Taylor Swift wedding.

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Speaker 1: We're gonna talk.

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Speaker 2: I said it.

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Speaker 1: We're going to talk about how my husband's shirt ended

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Speaker 1: up on another man and not how you thought. We're

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Speaker 1: gonna talk about Melissa's husband's college shirt, and then we're

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Speaker 1: going to do a really deep dive interview with Charlie

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Speaker 1: Goldenson about progressive politics and America right now, the New

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Speaker 1: York Races, everything, what's coming up in the mid terms.

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Speaker 1: We're going to get deep into the politics. So buckle up, stupid.

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Speaker 1: Melissa was like, how's your dog? And I was telling

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Speaker 1: about the dog, and then she was like, she said,

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Speaker 1: do I have any crumbs on me? She was eating

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Speaker 1: my croissant. I checked a Lissa's location. She's a beach vacation.

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Speaker 1: It looks like she's on the beach. Good for her, good.

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Speaker 3: For her ship.

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Speaker 1: We all need a break every now and then. I

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Speaker 1: wore my I love that I wore. I know that

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Speaker 1: the number one sport right now in the world that

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Speaker 1: people are talking about is tennis, so I wore my

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Speaker 1: tennis sweater. Sefa tennis.

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Speaker 2: What's her name?

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Speaker 1: No? I actually I am not watching tennis at all. I

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Speaker 1: just like the sweater.

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Speaker 2: Do you not watch tennis?

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Speaker 1: If it's on at the gym, I'll be like.

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Speaker 2: Oh, Serena backed out?

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Speaker 1: Really, what happened?

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Speaker 2: Why did you get hurt?

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Speaker 4: She may have gotten hurt, I'm not sure, but I did.

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Speaker 4: And I don't follow tennis at all, but I did

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Speaker 4: notice that.

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Speaker 1: I asked my friend. I was like, should we go

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Speaker 1: to the what's it called? The US Open? And when

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Speaker 1: it's in New York? Because I feel like it's a

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Speaker 1: New York thing.

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Speaker 2: Have you ever been?

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Speaker 1: I've never been?

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Speaker 3: Have you?

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Speaker 1: I feel like it's like a drinking social kind of

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Speaker 1: I mean, it was less about the sport and more

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Speaker 1: about the I went.

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Speaker 4: I mean decades ago, okay, okay, and I was drinking.

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Speaker 1: Then should we go with this? Should we go this year?

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Speaker 4: I mean, I'm gonna say no. It's that's a no

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Speaker 4: for me because I don't I don't know tennis.

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Speaker 2: I don't care.

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Speaker 1: It's also outside in August.

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Speaker 2: Right, I think I'm gonna be a way anyway.

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Speaker 1: Where in the world is Carmen San Diego?

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Speaker 2: You know, we do our beach a week at the Beach,

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Speaker 2: which I love.

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Speaker 1: You're doing your wedding at Madison Square Garden.

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Speaker 2: All right, Can we talk about that for a second.

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Speaker 4: Yeah, I'm just trying to understand why out of all

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Speaker 4: the principal Mexico Garden is not even nice, Chopped, it's

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Speaker 4: not even nice. And I and I and I understand

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Speaker 4: that she's got more money than God and she could

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Speaker 4: have it turned into whatever it is that she wanted.

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Speaker 2: But and you're happy about Midtown already.

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Speaker 4: But Midtown is already not a place that I want

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Speaker 4: to be, but people commute through there, and she decided

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Speaker 4: to do it.

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Speaker 2: I'm like, one of the biggest holiday.

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Speaker 4: Weekends, Penn Station is underneath Madison Square Garden and they

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Speaker 4: close up all the streets around it.

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Speaker 3: What the fun?

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Speaker 1: Describe the town mid That's a good joke. Someone should

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Speaker 1: still that. Put that on Twitter or someone describe the

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Speaker 1: town mid I went to this town. Everyone knew you.

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Speaker 1: But yeah, we're having writing chopped Bill, Like damn.

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Speaker 2: Don't I mean? And I understand she spent a shipload

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Speaker 2: of money.

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Speaker 1: As a person who got married at the David Busters

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Speaker 1: in Times Square, he.

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Speaker 2: Did not get square.

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Speaker 4: You know, I am convinced that the place where Angree

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Speaker 4: and I got married is owned and operated by the mafia.

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Speaker 2: And he's just like, no, the guy just liked us.

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Speaker 2: No we didn't. I mean maybe he did, but that's not.

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Speaker 3: This place.

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Speaker 1: Don't say that.

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Speaker 2: I'm not gonna say the name. They only took.

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Speaker 4: Cash, and you know, he was like, I don't even

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Speaker 4: have a machine on the premises.

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Speaker 2: I was like, all right, like tam machine, like a

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Speaker 2: quick credit card.

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Speaker 3: Yeah, I know.

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Speaker 4: I just feel like and everything had to be done,

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Speaker 4: like they had their own limo, they had a baker,

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Speaker 4: they had to use a certain florist. And but this

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Speaker 4: is the part that really got me. They had their

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Speaker 4: own waist removal.

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Speaker 1: That's the end of the segment.

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Speaker 2: At the end of that, and then there were things,

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Speaker 2: and there were things.

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Speaker 1: Don't be naive, you know, Andre, your tool to be

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Speaker 1: the knive.

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Speaker 2: No, we're all a little long in the tooth to

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Speaker 2: be this knife.

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Speaker 1: I will say though, in New York everyone has a guy.

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Speaker 1: They all have a guy for everything. Okay, like we

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Speaker 1: have like you have.

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Speaker 2: A guy for a wedding. I mean whatever.

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Speaker 4: But anyway, back to whatever her name is and what

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Speaker 4: his name is, I just think that when you have

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Speaker 4: access to resources and you could do whatever you want,

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Speaker 4: why would you do the thing that is going to

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Speaker 4: inconvenience the most amount of people.

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Speaker 1: I mean, whatever you want, whatever you want, sure, whatever, No, No, no,

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Speaker 1: you're like no. I mean like, if it's someone's wedding,

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Speaker 1: let them do what they want, you.

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Speaker 4: Know, whatever, it's your wedding. Like you said, invite who

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Speaker 4: you wish, have it where you wish.

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Speaker 1: But really, my train run on time.

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Speaker 2: But no, And also she.

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Speaker 4: Did holiday weekend. I actually really Hoday weekend.

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Speaker 1: We got we got the sports in town. Miss Fifa,

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Speaker 1: Miss FIFA, well, miss Fifa. She dock walked in, Miss Fifa.

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Speaker 1: New York is a mess right now. The Pride Parade,

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Speaker 1: Miss Pride Parade just shut down. We just finished that.

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Speaker 1: We're still sweeping up the streamers. We've still got a

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Speaker 1: little bit of glitter. Padam is still playing, like we've

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Speaker 1: New York has been through a lot, she's been through

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Speaker 1: a lot.

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Speaker 2: This we didn't need this.

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Speaker 1: We just had the primaries.

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Speaker 2: We did really well.

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Speaker 1: Actually we did, yeah, we did we did so Yeah,

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Speaker 1: We've just we've just been through it. I keep waiting

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Speaker 1: for the chill. New York summer to happen.

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Speaker 2: I don't think so.

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Speaker 1: I don't think it's coming.

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Speaker 2: I don't think it's coming.

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Speaker 1: I don't think it's core, not on my watch, not

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Speaker 1: with me out in these streets. I still think we're

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Speaker 1: all a little bit feral after the winter we had.

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Speaker 1: Like people are doing things at the club I've never

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Speaker 1: seen before, like like jumping off tables, landed and splits

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Speaker 1: like people are people are going wicked and wild, and

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Speaker 1: I'm like, you shouldn't be doing that. You have hYP dysplasia,

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Speaker 1: you know what I mean.

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Speaker 2: It's like the girls from the DCC.

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Speaker 1: Yes, Thunder. People are doing things that you know, we

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Speaker 1: didn't Maybe we shouldn't be doing.

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Speaker 2: I'm not outside, so I don't know.

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Speaker 1: You're not outside. No, no, what'd you do? For the

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Speaker 1: fourth went to the beach. Okay, it was nice because

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Speaker 1: there's about two hundred degrees outside, So I just sat

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Speaker 1: under an umbrella suffering. How was Bred also under the umbrella,

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Speaker 1: still managed to get scorched even though he wasn't even

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Speaker 1: in the sun. No matter what happens to Brad, it

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Speaker 1: will always be my fault, right, Yes, I'm blame for

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Speaker 1: the sunburn because I didn't put the sun block on correctly. Sure, sure?

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Speaker 2: Is that true?

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Speaker 3: Though?

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Speaker 1: Okay, one time there was no, I'm serious, there was

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Speaker 1: one time we were we were joking around of the

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Speaker 1: beach and I just drew a little design in the

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Speaker 1: sunblock about sun block. It absorbs like that. Yeah, So

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Speaker 1: even if you fully apply right after, which I did,

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Speaker 1: if you.

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Speaker 2: Still had a still get up, what was the design?

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Speaker 1: And for for legal reasons, I can't say, you know what,

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Speaker 1: let's get into a sidebar and talk about something else

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Speaker 1: that's not actually no, no, no no, because you did

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Speaker 1: it to yourself. And now I'm gonna have to have

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Speaker 1: my own, my second husband. I'm gonna have to get

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Speaker 1: married on Madison.

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Speaker 4: I just feel I just feel like I feel I

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Speaker 4: would like the record to reflect that I am always

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Speaker 4: team bred.

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Speaker 2: What did you do with his shirt?

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Speaker 3: TikTok?

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Speaker 1: Right now?

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Speaker 3: Anyway?

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Speaker 1: So, okay, Brad has this thing where he likes to

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Speaker 1: keep clothing that doesn't fit him anymore that he never wears,

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Speaker 1: and so slowly and it's usually hideous, so slowly.

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Speaker 2: But according to you, but continue.

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Speaker 1: Beauty is in the eye of the beholder, yes, And

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Speaker 1: so what a tangled web we weave when first we

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Speaker 1: practice to deceive. I slowly pilfer shirts, little object things

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Speaker 1: he just doesn't wear. Ever do that, and I slip

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Speaker 1: it into the good wild. Yeah, because sometimes people need

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Speaker 1: help and they don't even know it. And they don't

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Speaker 1: even know it. I mean the New Yorker ethesis. You can,

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Speaker 1: we can maybe all ride in, but it's no harm,

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Speaker 1: no foul, and it's going to a good cause. The

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Speaker 1: way that his college T shirt from his theater troope

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Speaker 1: ended up on an out unhoused man in front of

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Speaker 1: our apartment building was so fast, neck cracking speed. I

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Speaker 1: donated it and it was I swear in minutes this

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Speaker 1: man was wearing it.

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Speaker 2: Did you put it?

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Speaker 1: I put it in the bin. I thought these things

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Speaker 1: get shipped to welfares around the country.

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Speaker 2: No, I didn't think he was wishing in the bin.

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Speaker 2: He must have gone fishing.

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Speaker 1: All Maybe it was. It was like Michael, I'm saying,

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Speaker 1: it wasn't like.

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Speaker 2: You don't think people go fishing in the bin.

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Speaker 1: You're right, Oh my god, you're so right. Why didn't

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Speaker 1: I assumed I'm thinking that there's some sort of mail

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Speaker 1: fraud happening.

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Speaker 3: It's so right. You're run under present, correct I can't

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Speaker 3: believe that.

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Speaker 1: And this is why when people are like Michael and Melissa,

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Speaker 1: like we share a brain in a way that is

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Speaker 1: actually like keeping both of us alive.

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Speaker 2: We're like goldfish basically.

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Speaker 1: So yeah, anyway, I'm in a lot of trouble because

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Speaker 1: I donated the shirt that and now there is someone

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Speaker 1: in my nameorhood who's wearing it. And it says the theater, troupe,

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Speaker 1: the production, and the year. So I can't even deny

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Speaker 1: it and say, oh, like, it's just your college sweatshirt.

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Speaker 1: It's literally it might as well have Brad's signature on

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Speaker 1: it notorized because it's so obviously me.

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Speaker 2: Well, I definitely have you learned anything?

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Speaker 1: No, and I never will. And that's ten toes down,

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Speaker 1: ten toes, ten fingers down. What did I say? I'm

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Speaker 1: a contortionist? Ten toes and ten fingers down.

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Speaker 4: Andre has you donate a lot all the time, all

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Speaker 4: the time.

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Speaker 2: And I also have slowly gotten rid of things.

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Speaker 1: Yes, right, yeah, but.

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Speaker 4: One thing I can't because he'll know that it's gone.

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Speaker 4: Andre has his college sweatshirt. Now, my husband is a

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Speaker 4: man of a certain age.

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Speaker 1: Unless we returned for a degree, we haven't been in

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Speaker 1: college in a little while.

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Speaker 2: Maybe, Yeah, I'm gonna take a picture of it and

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Speaker 2: show it to you.

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Speaker 3: It is.

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Speaker 2: It's got tatters. Yes, it's in tatters.

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Speaker 1: Ron Weasley's mom.

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Speaker 2: It's in absolute tatters.

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Speaker 4: And every time I say to him, you know, so,

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Speaker 4: I thought, I'm like, all right, I'll get him a

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Speaker 4: new one, right when that fits one that's nice.

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Speaker 1: They don't make him like that anymore.

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Speaker 2: And I said, so we can get rid of the

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Speaker 2: old one.

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Speaker 1: Does it not fit him or it's just falling apart, No, it.

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Speaker 2: Doesn't fit him.

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Speaker 4: It's like it's like his belly is exposed, like it's

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Speaker 4: like he looks like.

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Speaker 2: Like it's just like only it's ripped.

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Speaker 1: I will say, oh my god, there's I went to

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Speaker 1: Copenhagen a couple of years ago and there's a store there.

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Speaker 1: Copenhagen's known for its fashion. There's a store there specifically

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Speaker 1: dedicated to American college sweatshirts. Oh wow, because they think

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Speaker 1: it's like very funny that we all wear college sweatshirts.

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Speaker 1: So they think it's like funny, Well, the only ones

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Speaker 1: who do that tongue in cheek like fashion. So you'll

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Speaker 1: see a girl walking around like a Scandinavian woman wearing

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Speaker 1: like a University of Wisconsin sweatshirt that she bought at

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Speaker 1: the college sweatshirt store in Denmark. Interesting, and they have

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Speaker 1: all the colleges.

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Speaker 2: Do you have a college sweatshirt?

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Speaker 1: I have a Tillian Law T shirt. It's too smallow me.

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Speaker 2: Well, why haven't you gotten Wow? You're getting rid of Wow?

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Speaker 3: Do you know what he just did?

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Speaker 1: It's okay, it's too small to me, but I still

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Speaker 1: wear it. It's a little it's a little tight, but

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Speaker 1: it's it's still wearable. This brad never wore it. I

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Speaker 1: don't even think he knew.

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Speaker 3: We had it.

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Speaker 2: Yeah, but when he saw the man wearing his T shirt,

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Speaker 2: he was.

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Speaker 1: Just like, hey, and you know what it fit that guy?

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Speaker 2: That's your mic drop.

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Speaker 1: So what's going on in the home?

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Speaker 2: Going on in the home? You're getting rid of?

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Speaker 1: What's going on in the home? I have I have

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Speaker 1: a welfare pile. I have a good well pile.

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Speaker 2: Okay, so do I have a giant box?

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Speaker 1: Anyway, We've got a great episode today.

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Speaker 2: I'm excited.

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Speaker 1: We've got Charlie goldensone here. You know him from Shaye

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Speaker 1: Chartie Shay Chuck, Everyone's favorite Instagram progressive liberal influencer.

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Speaker 2: Account, and he's here to talk to us, and.

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Speaker 1: He's here to talk to us. I want to talk

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Speaker 1: to him about what happened in the recent elections and

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Speaker 1: we've got because we had like a progressive fasinating.

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Speaker 4: And I wonder, what, if anything it means for the midterms,

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Speaker 4: What if anything, does it mean for the rest of

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Speaker 4: the country.

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Speaker 1: Or what if He's like nothing. We roll the segment,

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Speaker 1: and the segment he said, you.

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Speaker 4: Know what, nothing, get the clapp it will be like, yeah,

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Speaker 4: you've heard it here first, folks, nothing's going to happen.

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Speaker 4: Everything's burning. Everything is burning, and nothing shall remain.

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Speaker 1: It's all right, let's take a break. Well, bright back,

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Speaker 1: Welcome back to Brief Recess. This is under oath. We

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Speaker 1: are here with our incredible guest, Charlie golden Son. And

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Speaker 1: Charlie describes himself as a dude who works on political

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Speaker 1: stuff and was previously a White House staffer and communication

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Speaker 1: strategist who worked on president campaigns including the Biden administration.

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Speaker 1: You can find him online at Shay Chuck. Welcome, Charlie, thank.

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Speaker 3: You for having me. This is, like I said, very

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Speaker 3: legit and seriously honored to be in here. Yeah, very validating.

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Speaker 1: Oh my god, well, I mean you're all over my feed.

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Speaker 1: I feel like we have similar sort of things that

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Speaker 1: we do on the internet. We talk about very similar subjects.

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Speaker 1: I was like, we got to get Charlie on the show,

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Speaker 1: and Melissa was so excited too. So it's great to

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Speaker 1: have you. I mean a lot is happening right now.

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Speaker 1: We're just coming off the heels of an election in

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Speaker 1: New York. We are going into the mid terms. I

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Speaker 1: thought we could just like chat about that generally, right,

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Speaker 1: I mean we and do you have so many progressive

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Speaker 1: ideals right as we are staring down the midterm elections,

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Speaker 1: as we are looking towards the future of what the

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Speaker 1: Democratic Party looks like, we are seeing changes in elections

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Speaker 1: like New York's may or mayor mom, Donnie uh, and

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Speaker 1: the things that are happening in our own city you're

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Speaker 1: in New Yorker, and how those things are kind of

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Speaker 1: impacting national elections. Yeah, right, totally. What's going on, Like,

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Speaker 1: there's so much unpack I feel like so much. If

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Speaker 1: we want to start with like the recent elections in

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Speaker 1: New York.

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Speaker 3: Sure. One of the things I just said is, yeah,

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Speaker 3: we're new Yorkers here, and like, I think you can

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Speaker 3: look at what has happened in New York directionally in

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Speaker 3: both directions, which is, on one hand, we can view

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Speaker 3: this as the beginning of a movement or signs of

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Speaker 3: greater things to come nationally. And you know, there's a

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Speaker 3: lot of people in the center on the right who

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Speaker 3: will say that what has happened in New York is

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Speaker 3: not possible anywhere else. Yeah, I think that's personally, I

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Speaker 3: think that's bullshit, right, I don't think there's any ability

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Speaker 3: to that, And we can talk about that. But then

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Speaker 3: on the other side of that, we can also talk

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Speaker 3: about the reasoning for what has happened in New York

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Speaker 3: is also downstream from what's happening nationally. Yes, right, So

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Speaker 3: many national issues actually played a extremely import in part

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Speaker 3: in these local elections. And of course this isn't to

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Speaker 3: minimize local policy and local issues, but the reality is

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Speaker 3: even at the state Assembly level, even at the state

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Speaker 3: Senate level, even in these congressional races, APEC funding was

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Speaker 3: a significant part of this. Affordable housing was a significant

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Speaker 3: part of this ice and the attacks on our immigrant

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Speaker 3: neighbors was a significant part of this. So it goes

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Speaker 3: both directions, and it's it was a really beautiful, exciting

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Speaker 3: day moment that we're in. It's hard for me to

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Speaker 3: think of you know, I'm not an expert on history,

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Speaker 3: but it's.

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Speaker 1: Hard for me.

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Speaker 3: I'd love to talk to a political historian who could say,

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Speaker 3: here's another time in US history where there was this

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Speaker 3: kind of massive political electoral change happening in such a

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Speaker 3: leftwards direction like this.

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Speaker 2: What do you think is the reason why that is?

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Speaker 4: Like was it that people just sort of who loved

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Speaker 4: Madamie and so they were they were going to vote

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Speaker 4: for who he suggested? Or do you think there's a

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Speaker 4: general mood change?

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Speaker 2: What do you think is the research?

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Speaker 3: I think there's a thousand things. You know. First, I'll

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Speaker 3: say it is like, I'm not a spokesperson for DSAY.

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Speaker 3: I don't work for DSA, So I don't want people

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Speaker 3: listening to think I'm like speaking on behalf of DSA.

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Speaker 3: I'm not. I'm just a voter and a strategist and

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Speaker 3: a person who talks and consumes. But you know, yes,

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Speaker 3: Zoron's involvement in these races I think was pivotal and

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Speaker 3: not just what ended up happening because of that. But

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Speaker 3: the political weight he was willing to throw around and

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Speaker 3: the risks he was willing to take showed how important

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Speaker 3: these races were. But it wasn't just him, right like Zoron, Yes,

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Speaker 3: he's the figurehead, and he is this incredible, once in

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Speaker 3: a lifetime political figure, But New York DSA is an

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Speaker 3: insanely powerful organization now, and it wasn't just Zoron that

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Speaker 3: was engaging in these races. DSA was building this incredible

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Speaker 3: foundation of organizing throughout and that to me is you know,

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Speaker 3: one of the biggest strategically like answers to what just happened. Yes,

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Speaker 3: of course Zoron came in and helped, but like the

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Speaker 3: you know, hundreds of thousands of calls, hundreds of thousands

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Speaker 3: of doors knocked, and also really strategically choosing where they

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Speaker 3: wanted to fight, Right, DSA and Zoron were not endorsing

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Speaker 3: or activating in every race. They were very select right.

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Speaker 1: We sat down with Laura Done a few weeks ago

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Speaker 1: and she let us know in New York twelve, Zoron

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Speaker 1: did not endorset candidate for that race, and you know,

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Speaker 1: we talked a little bit about how that was actually

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Speaker 1: probably strategic not doing that I think a lot of

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Speaker 1: the community in the twelfth district is primarily Jewish and

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Speaker 1: is not supportive of Zoron. And I note that she,

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Speaker 1: you know, Laura, I mean, there's are quotes from Laura.

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Speaker 1: This is what she was sort of talking about. But yeah,

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Speaker 1: I mean his endorsement or lack of an endorsement, right

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Speaker 1: oftentimes signals to voters, right.

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Speaker 3: I mean, but it's all it's not, you know, there

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Speaker 3: was of course, there's Newer twelve, which for folks listening

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Speaker 3: is like Upper west Side, Upper east Side, It's where

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Speaker 3: Jerry Nadler was the congressman. Now Michael Ashner just won.

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Speaker 3: It was the Alex Borrez, Michael Lashner, Jack Schlossberg, George Conway,

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Speaker 3: like that kind of crazy, but.

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Speaker 1: Like very splashy, very slash.

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Speaker 3: Yet very The spectrum of politics that was in that

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Speaker 3: race was very narrow, right, that everybody was kind of

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Speaker 3: right here, and it makes sense for the electorate there.

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Speaker 3: But then you look at a race like Richie Torres's district, right,

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Speaker 3: which is there was an absolute leftist challenging Richie Torres.

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Speaker 3: DSA did not engage in that race. Zorn did not

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Speaker 3: engage in that race, and that's not because I liked.

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Speaker 3: It's not because I think that like Zoron didn't want

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Speaker 3: to beat Hikeem Jeffries or sorry or Richard Richie Torrez,

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Speaker 3: Excuse me, It's because they have to choose their battles, right.

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Speaker 3: DSA has x amount of resources, Zorn has to focus

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Speaker 3: time and his energies and says its political operation and

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Speaker 3: so yes, where they don't endorse and where they don't

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Speaker 3: engage does signal. But I also think it's not just saying, oh,

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Speaker 3: we don't care about this. It's like we're going to

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Speaker 3: be super strategic with where to use our weight and

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Speaker 3: look at what we just did. And now Richie Torres,

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Speaker 3: Hakim Jeffreys, Chuck Schumer most likely like they're probably next.

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Speaker 1: We were talking about a historian who might sort of

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Speaker 1: tell us about what was or what has or hasn't

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Speaker 1: changed in an election or in a voting demographic. If

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Speaker 1: there has ever been a time like this when people

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Speaker 1: are so keyed into what's happening in politics and why

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Speaker 1: that is right, I think like we can't not be

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Speaker 1: engaged right now. It's literally impossible to look away. It's

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Speaker 1: come to a point where in America just to wake

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Speaker 1: up and exist. Is almost like activism sometimes or just

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Speaker 1: like we are also aware at every juncture, right every opportunity,

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Speaker 1: like uh, you almost have to have an opinion about

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Speaker 1: Taylor's soft sweating. You have to have like you have

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Speaker 1: to like weigh in. You have to be engaged politically

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Speaker 1: to sort of understand what's going on with the horses

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Speaker 1: in Central Park, like they're like you. Just you are

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Speaker 1: acutely aware of polarized politics everywhere you turn, and so

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Speaker 1: to enter a voting booth, it's almost like we are

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Speaker 1: an even more informed electorate right now.

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Speaker 2: That's actually you know what, I actually don't agree with you.

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Speaker 1: You think we're stupid.

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Speaker 4: I think I think that there are a lot of

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Speaker 4: people who are sort of digging in and saying, I

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Speaker 4: don't do politics. It's too much, do you know what

442
00:21:54,400 --> 00:21:56,960
Speaker 4: I mean? I think we don't. Most of the people

443
00:21:56,960 --> 00:21:58,719
Speaker 4: that I know don't. But I have got a handful

444
00:21:58,720 --> 00:22:00,040
Speaker 4: of people in my family who.

445
00:21:59,840 --> 00:22:03,400
Speaker 2: Are like, yeah, I think it's not for me. It's

446
00:22:03,440 --> 00:22:03,800
Speaker 2: not for me.

447
00:22:03,880 --> 00:22:05,679
Speaker 3: It's not for me more now than before.

448
00:22:05,920 --> 00:22:08,439
Speaker 4: No, no, no, not more now. I think less now, But

449
00:22:08,480 --> 00:22:11,640
Speaker 4: I still think too many. Sure, there are too many

450
00:22:11,680 --> 00:22:15,840
Speaker 4: people who just don't want to engage who are either

451
00:22:16,000 --> 00:22:19,280
Speaker 4: afraid or uninformed about what's going on, and they are

452
00:22:19,800 --> 00:22:23,760
Speaker 4: choosing to sort of sit it out totally.

453
00:22:24,000 --> 00:22:26,600
Speaker 3: Yeah, I mean that's quite literally. I don't know what

454
00:22:26,800 --> 00:22:30,879
Speaker 3: was your catalyst and like starting to you know, but

455
00:22:30,920 --> 00:22:32,920
Speaker 3: for me, there was a few, but one of them

456
00:22:32,960 --> 00:22:35,880
Speaker 3: was exactly that, which is like, while I don't think

457
00:22:35,920 --> 00:22:39,160
Speaker 3: identity is should or is everything in politics, there's also

458
00:22:39,160 --> 00:22:41,920
Speaker 3: times where it is important and like I'm self aware

459
00:22:41,920 --> 00:22:44,359
Speaker 3: of myself, Like I'm a fucking white guy with a

460
00:22:44,440 --> 00:22:47,000
Speaker 3: mustache and a deep voice, and I live in Lower

461
00:22:47,000 --> 00:22:51,000
Speaker 3: Manhattan and I like sports. I like to drink beer.

462
00:22:51,160 --> 00:22:53,840
Speaker 3: I played college sports, Like I know my people, I

463
00:22:53,920 --> 00:22:56,520
Speaker 3: know who my friends are, I know who listens to me.

464
00:22:57,000 --> 00:22:59,439
Speaker 3: And what got me to the edge, frankly, was like

465
00:22:59,520 --> 00:23:01,639
Speaker 3: I'm like, like you guys, like I am on one

466
00:23:01,720 --> 00:23:03,480
Speaker 3: end of this BAC. I am two in the weeds

467
00:23:03,480 --> 00:23:06,159
Speaker 3: on the ship. I always have been. But I just

468
00:23:06,280 --> 00:23:07,600
Speaker 3: am at the point and I got to the point

469
00:23:07,640 --> 00:23:10,920
Speaker 3: where I was like, you know, and I talk about

470
00:23:10,960 --> 00:23:14,880
Speaker 3: this a lot, where it's like when you're dealing with fascism,

471
00:23:15,160 --> 00:23:17,760
Speaker 3: which is how I view it's it is a binary

472
00:23:17,760 --> 00:23:21,919
Speaker 3: option at that point like, you either are engaging with

473
00:23:21,960 --> 00:23:24,159
Speaker 3: it and pushing back on it or you are okay

474
00:23:24,200 --> 00:23:27,119
Speaker 3: with it, right. And that's not to demonize the people

475
00:23:27,119 --> 00:23:30,040
Speaker 3: who maybe are too busy or are impoverished and don't

476
00:23:30,080 --> 00:23:31,840
Speaker 3: have time and have to take care of their kids

477
00:23:31,840 --> 00:23:34,760
Speaker 3: and work ten jobs. But when it comes to my demographic,

478
00:23:35,080 --> 00:23:36,840
Speaker 3: when it comes to the guys that I'm trying to

479
00:23:36,880 --> 00:23:38,639
Speaker 3: talk to, what I'm trying to ring the arm bells

480
00:23:38,720 --> 00:23:41,720
Speaker 3: is to say, hey, fellas, you actually don't have the

481
00:23:41,720 --> 00:23:44,119
Speaker 3: fucking option to be silent right now, and here's why

482
00:23:44,160 --> 00:23:45,480
Speaker 3: you want to be signed. Let me tell you why

483
00:23:45,480 --> 00:23:47,320
Speaker 3: that makes you an asshole. Let me tell you why

484
00:23:47,359 --> 00:23:50,520
Speaker 3: that makes you maybe a bad person situation. Let me try.

485
00:23:50,600 --> 00:23:51,960
Speaker 3: Let me try to be the one that push you

486
00:23:52,040 --> 00:23:56,600
Speaker 3: back into the fight because I agree with you, but

487
00:23:56,680 --> 00:23:59,239
Speaker 3: I guess you know, a lot of the work is

488
00:23:59,280 --> 00:24:02,439
Speaker 3: trying to drag those people back, right, and not just

489
00:24:02,600 --> 00:24:06,159
Speaker 3: back to our end politically, but also just into being

490
00:24:06,200 --> 00:24:08,520
Speaker 3: politically aware, back to engagement.

491
00:24:08,600 --> 00:24:11,280
Speaker 2: You know, when you so you say you're trying to

492
00:24:11,280 --> 00:24:12,480
Speaker 2: talk to your people.

493
00:24:12,320 --> 00:24:17,800
Speaker 4: Right, so somewhat yeah, But when you do that, so first,

494
00:24:17,840 --> 00:24:19,160
Speaker 4: what is your hope?

495
00:24:19,200 --> 00:24:22,680
Speaker 2: What do you hope happens and what actually is happening.

496
00:24:22,800 --> 00:24:26,119
Speaker 3: Sure, what is actually happening hard to measure, but I

497
00:24:26,160 --> 00:24:29,280
Speaker 3: have a couple of anecdotes so like so like you

498
00:24:29,280 --> 00:24:30,920
Speaker 3: gave my bio a little bit like a quick part

499
00:24:30,920 --> 00:24:34,000
Speaker 3: of that as well was I also came in on

500
00:24:34,040 --> 00:24:35,960
Speaker 3: the back end of the Kamala Harris campaign in twenty

501
00:24:35,960 --> 00:24:39,840
Speaker 3: twenty four as an advisor for paid media, and what

502
00:24:39,920 --> 00:24:43,040
Speaker 3: that basically meant was being a producer executive producer on

503
00:24:43,080 --> 00:24:45,400
Speaker 3: like the big premium ads that were running on big

504
00:24:45,440 --> 00:24:49,040
Speaker 3: cable news CNN, ESPN, running during football games. And that

505
00:24:49,119 --> 00:24:51,600
Speaker 3: was also in parallel with all these discussions we are

506
00:24:51,640 --> 00:24:55,040
Speaker 3: continuing to have about like the manosphere and the alpha

507
00:24:55,119 --> 00:24:57,200
Speaker 3: bros and males and we need a Joe Rogan on

508
00:24:57,240 --> 00:24:59,080
Speaker 3: the left and blah blah blah blah blah, and like, well,

509
00:24:59,119 --> 00:25:04,480
Speaker 3: I think that those convers stations are valid and necessary.

510
00:25:04,520 --> 00:25:06,920
Speaker 3: They're also like very surface level to me. It's like, okay,

511
00:25:06,960 --> 00:25:09,800
Speaker 3: let's get a little deeper. I also think those conversations

512
00:25:09,800 --> 00:25:13,199
Speaker 3: are very like prone to rumor. Like these things like

513
00:25:13,320 --> 00:25:15,960
Speaker 3: conversations like that take on a life of their own

514
00:25:16,440 --> 00:25:19,159
Speaker 3: and then weight gets ascribed to it that is not

515
00:25:19,240 --> 00:25:22,760
Speaker 3: necessarily valid people are like, oh, well we do need that,

516
00:25:22,880 --> 00:25:24,560
Speaker 3: and then it's like, oh well I heard someone say

517
00:25:24,560 --> 00:25:26,000
Speaker 3: we needed that, so therefore we need that, and just

518
00:25:26,560 --> 00:25:28,840
Speaker 3: snowballs totally. I mean, I think yes, but I do

519
00:25:28,920 --> 00:25:34,160
Speaker 3: think that when it comes to like like democrats are

520
00:25:34,160 --> 00:25:37,960
Speaker 3: losing men like that is an objective reality. And yes,

521
00:25:38,280 --> 00:25:40,000
Speaker 3: you can get into the specific so those demos, but

522
00:25:40,080 --> 00:25:44,520
Speaker 3: like men generally, like across race, ethnicity, class, it's happening

523
00:25:44,520 --> 00:25:47,200
Speaker 3: across the board. And this is to answer your question,

524
00:25:47,320 --> 00:25:48,760
Speaker 3: like what is that? What am I trying to do,

525
00:25:48,840 --> 00:25:51,080
Speaker 3: which is like I'm trying to get those guys right,

526
00:25:51,280 --> 00:25:54,320
Speaker 3: Like I'm just trying to talk to how I talk

527
00:25:54,359 --> 00:25:56,480
Speaker 3: to my friends at the bar is I'm just trying

528
00:25:56,520 --> 00:25:58,920
Speaker 3: to simpler And it's not talking down, it's not making

529
00:25:58,960 --> 00:26:00,840
Speaker 3: it dumb. It's just trying to talk about this stuff

530
00:26:00,880 --> 00:26:03,480
Speaker 3: in a in the way I would to my friends.

531
00:26:03,760 --> 00:26:05,479
Speaker 3: And so that's the goal is can I get more

532
00:26:05,480 --> 00:26:08,639
Speaker 3: people into the fold simply buy the medium and the

533
00:26:08,640 --> 00:26:10,600
Speaker 3: format and the ways of which I communicate and look

534
00:26:10,760 --> 00:26:13,080
Speaker 3: that maybe some people will listen who otherwise want. In

535
00:26:13,160 --> 00:26:16,080
Speaker 3: terms of the actual impact, hard to say. I've had

536
00:26:16,400 --> 00:26:18,720
Speaker 3: a couple of moments though, of being like, okay, this

537
00:26:18,840 --> 00:26:22,000
Speaker 3: is real. One is I won't name his name, like

538
00:26:22,040 --> 00:26:24,720
Speaker 3: one of like the biggest manosphere guys DM me after

539
00:26:24,760 --> 00:26:26,240
Speaker 3: I did a video about him that went viral and

540
00:26:26,359 --> 00:26:27,879
Speaker 3: was like, hey man, I think I fucked up, Like

541
00:26:27,920 --> 00:26:30,320
Speaker 3: can we talk about this a little bit? Yes. That

542
00:26:30,400 --> 00:26:32,680
Speaker 3: was one. Another was I did a video like calling

543
00:26:32,720 --> 00:26:37,840
Speaker 3: out Joe Rogan and THEO Vaughn and Andrew Schultz after

544
00:26:38,240 --> 00:26:40,880
Speaker 3: I remember Liam, he was like the five year old

545
00:26:41,160 --> 00:26:43,399
Speaker 3: child outside of the he got detained with them and

546
00:26:43,520 --> 00:26:46,520
Speaker 3: ran back exactly. I did a video where I was

547
00:26:46,560 --> 00:26:48,840
Speaker 3: like thanked Joe Rogan and Theovonne for you know, keeping

548
00:26:48,920 --> 00:26:52,320
Speaker 3: us safe from these criminals like Liam, and that video

549
00:26:52,359 --> 00:26:54,080
Speaker 3: went crazy And then I got a call from a

550
00:26:54,080 --> 00:26:56,600
Speaker 3: friend who said, you know that you're you're the number

551
00:26:56,600 --> 00:27:00,440
Speaker 3: one trending topic on the Joe Rogan subreddit. Oh my god,

552
00:27:00,560 --> 00:27:02,320
Speaker 3: and that I didn't, you know, I don't listen to

553
00:27:02,359 --> 00:27:04,439
Speaker 3: Joe Rogan. I don't check. But then I checked and

554
00:27:04,480 --> 00:27:05,879
Speaker 3: it was it was a number one try anything for

555
00:27:05,920 --> 00:27:07,840
Speaker 3: like weeks and weeks and weeks, and the overall feedback

556
00:27:07,880 --> 00:27:10,320
Speaker 3: and commentary it was really positive. So my feeling there

557
00:27:10,400 --> 00:27:12,240
Speaker 3: is like okay, like it's hard to We all know

558
00:27:12,320 --> 00:27:14,479
Speaker 3: social like it's hard to really know who you're reaching.

559
00:27:14,800 --> 00:27:18,840
Speaker 3: But that told me like, okay, some of the stuff

560
00:27:18,920 --> 00:27:19,680
Speaker 3: is getting in front.

561
00:27:19,480 --> 00:27:21,280
Speaker 1: Of it, right, Well that's I mean, so rarely in

562
00:27:21,280 --> 00:27:25,320
Speaker 1: life do we literally get feedback on the page that

563
00:27:25,440 --> 00:27:29,119
Speaker 1: says what you did had impact, especially in like politics

564
00:27:29,200 --> 00:27:31,639
Speaker 1: especially and what we sort of do on the internet.

565
00:27:31,640 --> 00:27:36,639
Speaker 1: But the people who like Joe Rogan, supported Trump in

566
00:27:36,680 --> 00:27:40,600
Speaker 1: the election and have suddenly gone silent on the subject,

567
00:27:41,119 --> 00:27:46,560
Speaker 1: who are suspiciously have amnesia. Everyone seems to have fallen

568
00:27:46,600 --> 00:27:49,480
Speaker 1: in hit their head. Yeah, no one's standing ten toes

569
00:27:49,560 --> 00:27:53,840
Speaker 1: down anymore. You did this right, people like that got

570
00:27:53,920 --> 00:27:56,680
Speaker 1: us to this place, right, You don't get to walk

571
00:27:56,720 --> 00:27:58,760
Speaker 1: away now that where a year and a half in

572
00:27:59,000 --> 00:28:01,760
Speaker 1: and everyone's getting too poor. Did no like you stood

573
00:28:01,800 --> 00:28:05,639
Speaker 1: up for him? So many influencers accepted MAGA money and

574
00:28:05,880 --> 00:28:08,040
Speaker 1: posted their little video and did their thing. And now

575
00:28:08,040 --> 00:28:11,000
Speaker 1: all of a sudden they want to be uh trad

576
00:28:11,040 --> 00:28:15,520
Speaker 1: wifs and do their homemade sour dough and know now

577
00:28:15,600 --> 00:28:20,720
Speaker 1: they're not talking about politics. You got us into this mess. Yes,

578
00:28:20,880 --> 00:28:23,199
Speaker 1: you don't get to walk away now, because none of

579
00:28:23,240 --> 00:28:24,080
Speaker 1: us can walk away.

580
00:28:24,200 --> 00:28:26,680
Speaker 3: We're good in this room, all right, like like we're

581
00:28:26,720 --> 00:28:27,520
Speaker 3: gonna be fine.

582
00:28:27,600 --> 00:28:28,320
Speaker 1: Yeah.

583
00:28:28,320 --> 00:28:31,720
Speaker 3: Like I think about Liam, I'm like, there are millions

584
00:28:31,920 --> 00:28:36,240
Speaker 3: of families and children and women and trans youth and immigrants,

585
00:28:36,359 --> 00:28:39,480
Speaker 3: et cetera, black, brown, whatever, who like they don't have

586
00:28:39,600 --> 00:28:42,840
Speaker 3: the option to just be like sorry, I'm good. Like

587
00:28:43,520 --> 00:28:47,120
Speaker 3: your stupid fucking decisions and your lack of engagement, your

588
00:28:47,160 --> 00:28:51,560
Speaker 3: lack of research objectively now have downstream impacts that have

589
00:28:52,320 --> 00:28:55,480
Speaker 3: ruined lives, that have hurt human bodies. Yes, and for

590
00:28:55,560 --> 00:28:58,440
Speaker 3: you not to acknowledge that is not good enough for me.

591
00:28:58,840 --> 00:29:00,880
Speaker 3: Like I don't care. Now if you're starting to critique

592
00:29:00,880 --> 00:29:02,600
Speaker 3: Trump a little bit, like you need to acknowledge your

593
00:29:02,640 --> 00:29:04,440
Speaker 3: responsibility in that as well.

594
00:29:04,520 --> 00:29:06,960
Speaker 1: That's why I mean people always talk about like, oh,

595
00:29:06,960 --> 00:29:09,520
Speaker 1: if this company, we're a family. Families don't hold each

596
00:29:09,520 --> 00:29:12,760
Speaker 1: other accountable, Right, Companies need to have accountability, And the

597
00:29:12,800 --> 00:29:15,840
Speaker 1: same thing has to happen for politics. I don't know.

598
00:29:16,520 --> 00:29:20,080
Speaker 1: I look at the election results of this most recent election, right,

599
00:29:20,120 --> 00:29:24,040
Speaker 1: and I think about how much and not even just

600
00:29:24,080 --> 00:29:26,800
Speaker 1: in New York, right, I mean this just happened in Colorado. Right.

601
00:29:26,840 --> 00:29:31,920
Speaker 1: We just had an ultra progressive candidate knock out a

602
00:29:32,040 --> 00:29:35,920
Speaker 1: legacy fifteen year congress person, so excited for it, but

603
00:29:35,960 --> 00:29:39,960
Speaker 1: then it's also happening at the same time. Today we're

604
00:29:40,000 --> 00:29:43,760
Speaker 1: recording the grand Platiner. Yes, news just broke like an

605
00:29:43,800 --> 00:29:46,960
Speaker 1: hour ago before we hit record on this, so maybe

606
00:29:46,960 --> 00:29:49,840
Speaker 1: we have CJ read us a couple lines about that headline,

607
00:29:50,120 --> 00:29:52,960
Speaker 1: so we're all on the same page and up to speed. Yeah,

608
00:29:53,040 --> 00:29:56,240
Speaker 1: NBC is reporting that grand Platner considering his best best

609
00:29:56,240 --> 00:29:59,920
Speaker 1: path forward and main Senate race after nine sexual assault claims.

610
00:30:00,320 --> 00:30:04,400
Speaker 3: Okay, yeah, I'm just going to be very pessimistic here.

611
00:30:04,880 --> 00:30:09,320
Speaker 3: I think this is so bad for everyone. Like it's bad,

612
00:30:09,360 --> 00:30:13,640
Speaker 3: of course, it's bad for the survivors, horrendous. Yeah, of

613
00:30:13,680 --> 00:30:16,840
Speaker 3: course it's bad for the campaign and the volunteers behind them,

614
00:30:16,880 --> 00:30:20,120
Speaker 3: But like, this is so bad for the leftist movement generally.

615
00:30:20,480 --> 00:30:20,720
Speaker 1: Yeah.

616
00:30:21,560 --> 00:30:26,320
Speaker 3: Grand Platner, unfortunately, fortunately or unfortunately, was another one of

617
00:30:26,360 --> 00:30:29,400
Speaker 3: these figureheads right, like of the kind of like insurgent

618
00:30:30,000 --> 00:30:35,160
Speaker 3: left getting rid of the established establishments. Yeah, showing that

619
00:30:36,160 --> 00:30:39,840
Speaker 3: democratic socialism or progressivism or whatever terminology we want to

620
00:30:39,880 --> 00:30:44,080
Speaker 3: use for that specific worldview can exist in people who

621
00:30:44,200 --> 00:30:47,520
Speaker 3: do not look traditionally progressive and leftists, and who are

622
00:30:47,600 --> 00:30:50,760
Speaker 3: working class and rural, et cetera, et cetera, et cetera.

623
00:30:51,000 --> 00:30:54,240
Speaker 3: And my fear here is that, you know, one of

624
00:30:54,280 --> 00:30:56,040
Speaker 3: the things that this does right away, the first thought

625
00:30:56,040 --> 00:31:02,800
Speaker 3: I had was the other Democratic candidate that that Platinum

626
00:31:02,840 --> 00:31:08,760
Speaker 3: was running against in the primary, Janet Mills. She was

627
00:31:08,880 --> 00:31:14,800
Speaker 3: the selected candidate by Chuck Schumer right quite literally the

628
00:31:15,520 --> 00:31:17,720
Speaker 3: super pass put a ton of money behind her. It

629
00:31:17,840 --> 00:31:22,640
Speaker 3: was because of him, reportedly that she ran. And what

630
00:31:22,720 --> 00:31:25,200
Speaker 3: I hate now is, like, again beyond that the actual

631
00:31:25,200 --> 00:31:29,600
Speaker 3: horrendous allegations here is like this is now an opportunity

632
00:31:29,600 --> 00:31:35,000
Speaker 3: for every centrist conservative liberal to say, see, you lazy

633
00:31:35,560 --> 00:31:38,080
Speaker 3: idiots like you don't know how this works. We know

634
00:31:38,160 --> 00:31:40,880
Speaker 3: how this works, and they're going to use that to

635
00:31:41,880 --> 00:31:44,760
Speaker 3: try to go after every lefty candidate right now, from

636
00:31:44,800 --> 00:31:47,120
Speaker 3: the New York locals to Abdullah s a Ed and

637
00:31:47,200 --> 00:31:51,560
Speaker 3: Michigan to whatever. So just on like a general.

638
00:31:51,280 --> 00:31:54,160
Speaker 1: Note, I know, it's like the exception can't prove the rule,

639
00:31:54,400 --> 00:31:59,880
Speaker 1: right like, this can't be the situation that everyone uses

640
00:31:59,880 --> 00:32:02,920
Speaker 1: to say, oh well, we can't have progressive ideals right

641
00:32:03,080 --> 00:32:09,760
Speaker 1: like so much condemning Graham and these allegations and support

642
00:32:09,840 --> 00:32:12,360
Speaker 1: for the victim. I mean, we were just talking on

643
00:32:13,360 --> 00:32:16,880
Speaker 1: the other day, me and Melissa about how hard it

644
00:32:16,960 --> 00:32:20,000
Speaker 1: must be for women to come forward against men, how

645
00:32:20,040 --> 00:32:25,040
Speaker 1: hard it must be to think like this might be

646
00:32:25,120 --> 00:32:27,800
Speaker 1: one of the only things people say, this might become

647
00:32:27,880 --> 00:32:30,520
Speaker 1: my story. Hard stop. We've seen it time and time

648
00:32:30,560 --> 00:32:33,360
Speaker 1: again women come forward against a man. Not only is

649
00:32:33,400 --> 00:32:37,560
Speaker 1: there no accountability, but it also becomes her entire story.

650
00:32:37,960 --> 00:32:41,160
Speaker 1: That becomes her.

651
00:32:40,480 --> 00:32:42,800
Speaker 2: First name, last name, victim of. Do you know what

652
00:32:42,840 --> 00:32:45,960
Speaker 2: I mean, survivor of? And that's yeah.

653
00:32:45,760 --> 00:32:48,239
Speaker 1: Yeah, it's just wild to think about it. And then

654
00:32:48,280 --> 00:32:49,920
Speaker 1: it literally just happens.

655
00:32:50,120 --> 00:32:53,720
Speaker 2: I think it's exactly what you said. It's not.

656
00:32:54,720 --> 00:32:58,800
Speaker 4: Obviously it is devastating for the victims, the survivors, but

657
00:32:59,000 --> 00:33:06,080
Speaker 4: it's it's now painting every liberal candidate, every liberal with

658
00:33:06,160 --> 00:33:06,959
Speaker 4: the same brush.

659
00:33:07,320 --> 00:33:09,240
Speaker 2: And what I think is really interesting.

660
00:33:08,880 --> 00:33:11,880
Speaker 4: About that, though, is that the president of the United States,

661
00:33:12,760 --> 00:33:15,760
Speaker 4: it is a known sex offender.

662
00:33:16,480 --> 00:33:18,240
Speaker 2: Those are those are just the facts.

663
00:33:18,680 --> 00:33:22,640
Speaker 4: And in spite of that, he not only became president

664
00:33:22,720 --> 00:33:26,840
Speaker 4: once took a break, came back and as president again.

665
00:33:27,240 --> 00:33:31,640
Speaker 1: I just feel like as a Democratic party, I want

666
00:33:31,640 --> 00:33:35,520
Speaker 1: to hold us to a higher standard, so much to ask.

667
00:33:35,320 --> 00:33:37,880
Speaker 2: For, I mean, but doesn't it doesn't It feel.

668
00:33:38,160 --> 00:33:40,520
Speaker 4: I mean, I've you know, obviously I've got a look

669
00:33:40,560 --> 00:33:43,880
Speaker 4: a chat group with my friends and we and all

670
00:33:44,000 --> 00:33:47,080
Speaker 4: the women, most of them black, and around my age,

671
00:33:47,560 --> 00:33:51,240
Speaker 4: and it and there's this feeling of like every time

672
00:33:51,520 --> 00:33:55,880
Speaker 4: a story comes out, and the feeling is like is

673
00:33:56,200 --> 00:33:57,120
Speaker 4: every man.

674
00:33:57,040 --> 00:33:58,680
Speaker 2: A piece of shit? Do you know what I'm saying?

675
00:33:58,720 --> 00:34:02,160
Speaker 4: Because because it's happening all the time, right, And it's

676
00:34:02,320 --> 00:34:03,680
Speaker 4: it's not just political people.

677
00:34:03,800 --> 00:34:06,840
Speaker 2: It's it's it's you know, athletes and and people that.

678
00:34:08,400 --> 00:34:13,160
Speaker 4: At one point or another were important to the to

679
00:34:13,239 --> 00:34:16,719
Speaker 4: the community. Bill Cosby for example, Right, I grew up

680
00:34:16,760 --> 00:34:19,839
Speaker 4: in you know, born in the seventies watching The Cosby Show,

681
00:34:19,920 --> 00:34:24,080
Speaker 4: and that show really had a very at the time,

682
00:34:24,120 --> 00:34:26,719
Speaker 4: a very positive impact on Black people in general. It's

683
00:34:26,760 --> 00:34:28,719
Speaker 4: like the first time that we had seen a show

684
00:34:28,760 --> 00:34:32,160
Speaker 4: where it was two you know, a two parent household.

685
00:34:32,440 --> 00:34:36,880
Speaker 4: They were obviously affluent, they were educated, and and to

686
00:34:37,000 --> 00:34:42,560
Speaker 4: find out later that he was this deviant criminal has

687
00:34:42,640 --> 00:34:46,439
Speaker 4: had a negative impact. And it makes you wonder like, well, who,

688
00:34:47,760 --> 00:34:50,239
Speaker 4: like who can we count on? Who can we count

689
00:34:50,280 --> 00:34:52,880
Speaker 4: on you? Because you want somebody to come in and

690
00:34:52,920 --> 00:34:55,160
Speaker 4: we want the country to change, to move forward in

691
00:34:55,160 --> 00:34:57,840
Speaker 4: a positive way, and this stuff keeps happening.

692
00:34:57,960 --> 00:35:00,480
Speaker 3: Yeah, I mean, it's repeating what you said a little,

693
00:35:00,640 --> 00:35:03,120
Speaker 3: but it's like I think that's one of the reasons

694
00:35:03,320 --> 00:35:06,920
Speaker 3: that the Platiner thing is so shocking is maybe not

695
00:35:06,960 --> 00:35:09,080
Speaker 3: the right word, but like awful and sad and just

696
00:35:09,120 --> 00:35:09,880
Speaker 3: like fuck.

697
00:35:09,719 --> 00:35:11,960
Speaker 1: It's upsetting on every level because you're like upset for

698
00:35:12,000 --> 00:35:12,480
Speaker 1: the victim.

699
00:35:12,480 --> 00:35:15,080
Speaker 3: But he was he was set up to be that,

700
00:35:15,440 --> 00:35:17,600
Speaker 3: Like he was. He was set up to be the

701
00:35:17,719 --> 00:35:20,880
Speaker 3: exact answer to that, which is no, look at this

702
00:35:21,000 --> 00:35:25,560
Speaker 3: healthy version of masculinity and manhood and look look what

703
00:35:25,880 --> 00:35:28,360
Speaker 3: a good man can be and what they can stand

704
00:35:28,400 --> 00:35:31,400
Speaker 3: for and what they can say that to me is

705
00:35:31,440 --> 00:35:33,040
Speaker 3: you know, and like let's make it about me. Like

706
00:35:33,280 --> 00:35:34,839
Speaker 3: that's that is like a core part of what I'm

707
00:35:34,880 --> 00:35:38,400
Speaker 3: trying to do with my stuff too.

708
00:35:38,440 --> 00:35:38,600
Speaker 4: This.

709
00:35:38,880 --> 00:35:40,440
Speaker 1: You know, I was going to say, you do that

710
00:35:40,480 --> 00:35:46,719
Speaker 1: with your videos. You're always speaking to like toxic masculinity, right,

711
00:35:46,800 --> 00:35:48,480
Speaker 1: and that sort of debunking.

712
00:35:47,960 --> 00:35:49,359
Speaker 3: That in like a non direct way.

713
00:35:49,480 --> 00:35:53,680
Speaker 1: Yes, you know, like your existence I think is well

714
00:35:54,080 --> 00:35:56,279
Speaker 1: you just existing on the Internet. I think it's like

715
00:35:56,320 --> 00:35:58,880
Speaker 1: an antidote to some of that, right, I mean, just

716
00:35:59,440 --> 00:36:02,359
Speaker 1: by virtue of us sitting down in conversation, right can

717
00:36:02,400 --> 00:36:07,520
Speaker 1: be not everyone would enter dialogue on that. So I

718
00:36:07,640 --> 00:36:10,399
Speaker 1: just feel like, yeah, no, you're right, like these are

719
00:36:10,440 --> 00:36:13,840
Speaker 1: these are things where Graham was set up to be

720
00:36:14,360 --> 00:36:22,120
Speaker 1: this answer to a toxic masculine candidate and to represent

721
00:36:22,200 --> 00:36:24,040
Speaker 1: those progressive ideals and.

722
00:36:24,560 --> 00:36:26,120
Speaker 2: Find out that he's not.

723
00:36:26,680 --> 00:36:31,920
Speaker 1: Yeah, it's upsetting. It's upsetting for the victim. It's also like,

724
00:36:32,400 --> 00:36:37,839
Speaker 1: I'm like, I never trust any one man with so

725
00:36:37,920 --> 00:36:41,360
Speaker 1: there's no way my future for this country, my vision

726
00:36:41,440 --> 00:36:44,080
Speaker 1: for America is going to be with some white dude

727
00:36:44,080 --> 00:36:49,000
Speaker 1: from me. So I'm like, sorry, Like that wasn't ever

728
00:36:49,120 --> 00:36:52,319
Speaker 1: my how I saw it going, and so I never

729
00:36:52,400 --> 00:36:56,239
Speaker 1: put too much value into that. But I do think

730
00:36:56,320 --> 00:36:59,959
Speaker 1: that there are so many extraordinary progressives that I have won.

731
00:37:00,160 --> 00:37:01,919
Speaker 3: And oh can I bring it back to New York?

732
00:37:01,960 --> 00:37:03,480
Speaker 3: Which can I get it? Like we're in New York.

733
00:37:03,520 --> 00:37:06,680
Speaker 3: It's yes, liberal bastion, and it's the most diversity in

734
00:37:06,680 --> 00:37:10,399
Speaker 3: the country. Like I understand that, and yet what we

735
00:37:10,400 --> 00:37:16,040
Speaker 3: were just shown through Dear Lisa, brad Lander, brad Lander,

736
00:37:16,760 --> 00:37:19,560
Speaker 3: Claire Valdez. But mainly like de Lisa and Claire Valdez,

737
00:37:19,560 --> 00:37:21,320
Speaker 3: in my mind is like it doesn't have to be

738
00:37:21,360 --> 00:37:24,040
Speaker 3: a fucking white guy, like we don't have to like yes,

739
00:37:24,160 --> 00:37:25,839
Speaker 3: like the whole idea of like, well a woman can't

740
00:37:25,880 --> 00:37:28,319
Speaker 3: win here, and like I just don't believe that, And

741
00:37:28,320 --> 00:37:30,720
Speaker 3: that's not me trying to like do that. It gets genuine.

742
00:37:30,760 --> 00:37:35,000
Speaker 3: It's like they just fucking dominated. Lisa just beat the

743
00:37:35,080 --> 00:37:39,880
Speaker 3: chairman of the Hispanic caucuses by four points, an incumbent.

744
00:37:39,920 --> 00:37:44,880
Speaker 3: That is insane, Like they're not just getting by, like

745
00:37:45,000 --> 00:37:48,319
Speaker 3: they are destroying these candidates. And so to me, again

746
00:37:48,440 --> 00:37:49,920
Speaker 3: just proves that like and this isn't even meant to

747
00:37:49,920 --> 00:37:51,319
Speaker 3: like shitt on ground planet, It's just meant to be,

748
00:37:51,320 --> 00:37:54,960
Speaker 3: like we can we can continue to expand the lens

749
00:37:55,040 --> 00:37:58,480
Speaker 3: and expand the after the ideal candidates, right, Like when

750
00:37:58,480 --> 00:38:00,960
Speaker 3: people have my own personal politics, when people say like, oh,

751
00:38:01,000 --> 00:38:03,959
Speaker 3: well AOC would be a great presidential candidate, but nobody

752
00:38:03,960 --> 00:38:05,840
Speaker 3: will vote for a woman of color, I call bullshit.

753
00:38:06,040 --> 00:38:08,080
Speaker 3: I'm like, to me, it's like she's the same answer

754
00:38:08,120 --> 00:38:10,360
Speaker 3: as Bernie Sanders in the sense of like, once you

755
00:38:10,400 --> 00:38:13,439
Speaker 3: get her in front of somebody, right, they really like her,

756
00:38:13,480 --> 00:38:14,560
Speaker 3: but the problem is you got to get it in

757
00:38:14,600 --> 00:38:15,600
Speaker 3: front of them for the first part.

758
00:38:15,640 --> 00:38:17,880
Speaker 1: I'm so sick of that conversation about nobody's going to

759
00:38:17,960 --> 00:38:20,359
Speaker 1: vote for a woman of color. I just I don't

760
00:38:20,360 --> 00:38:24,000
Speaker 1: think it's true. I think we can't look at Kamala

761
00:38:24,040 --> 00:38:28,200
Speaker 1: and say that's it right, like it's over right. She

762
00:38:29,640 --> 00:38:33,399
Speaker 1: her circumstances are so different and she as an individual, right,

763
00:38:33,800 --> 00:38:34,439
Speaker 1: what do you think?

764
00:38:34,640 --> 00:38:36,480
Speaker 2: I just agree?

765
00:38:36,040 --> 00:38:36,200
Speaker 4: I do?

766
00:38:36,760 --> 00:38:43,200
Speaker 2: I do? I no, I do because I think that.

767
00:38:45,160 --> 00:38:51,080
Speaker 4: Women in general, women of color especially are always underestimated, right,

768
00:38:51,440 --> 00:38:55,399
Speaker 4: And I think that I think this country hates women,

769
00:38:56,160 --> 00:39:00,000
Speaker 4: and I know that this country hates people of color.

770
00:39:00,800 --> 00:39:04,560
Speaker 4: And I don't know what means to happen in order

771
00:39:04,920 --> 00:39:08,920
Speaker 4: for it to not be like a thing, Oh it's

772
00:39:08,920 --> 00:39:11,239
Speaker 4: a woman, it's always going to be that way, and

773
00:39:11,280 --> 00:39:13,640
Speaker 4: you know, and this idea of like, well her background was,

774
00:39:13,800 --> 00:39:16,880
Speaker 4: she's Indiana, she's African American, which isn't And I just

775
00:39:17,080 --> 00:39:17,759
Speaker 4: think that.

776
00:39:20,280 --> 00:39:24,600
Speaker 2: It feels to me at a certain level, this country's.

777
00:39:24,280 --> 00:39:29,120
Speaker 4: Not ready because they don't want to be, not because

778
00:39:29,120 --> 00:39:31,120
Speaker 4: it's not possible, not because women are not capable.

779
00:39:31,280 --> 00:39:34,200
Speaker 2: We are, But I think that.

780
00:39:35,000 --> 00:39:37,320
Speaker 4: Yeah, I think there are too many people who don't

781
00:39:37,360 --> 00:39:40,200
Speaker 4: think that women can do the job. It's too hard

782
00:39:40,239 --> 00:39:42,600
Speaker 4: of a job, and that a woman couldn't do it.

783
00:39:43,360 --> 00:39:45,760
Speaker 4: I know that that's not true, but there is something

784
00:39:46,080 --> 00:39:50,480
Speaker 4: about this country and I don't know what it is,

785
00:39:50,560 --> 00:39:51,560
Speaker 4: but that's for me.

786
00:39:51,600 --> 00:39:52,080
Speaker 2: That's what I think.

787
00:39:52,160 --> 00:39:53,479
Speaker 1: I think a lot of what you said is also

788
00:39:53,600 --> 00:39:56,440
Speaker 1: like the things people think that they would never say aloud, right,

789
00:39:56,600 --> 00:40:00,360
Speaker 1: Like people probably think, well, you just said that woman

790
00:40:00,520 --> 00:40:04,120
Speaker 1: couldn't handle leading the country, but that it's like a

791
00:40:05,640 --> 00:40:07,040
Speaker 1: thought that they keep to themselves.

792
00:40:07,200 --> 00:40:09,240
Speaker 2: I mean, I think some people keep it to themselves,

793
00:40:09,239 --> 00:40:10,279
Speaker 2: but I think a.

794
00:40:10,280 --> 00:40:12,520
Speaker 4: Lot of people say that out loud, and you know,

795
00:40:12,719 --> 00:40:14,920
Speaker 4: they say it out loud with their entire chest and

796
00:40:14,960 --> 00:40:17,239
Speaker 4: they and they say the most, you know, and the

797
00:40:17,320 --> 00:40:20,200
Speaker 4: misogyny is just horrendous, this idea of like, oh, it's

798
00:40:20,239 --> 00:40:20,759
Speaker 4: she's a woman.

799
00:40:20,800 --> 00:40:23,120
Speaker 2: Well, you know, women get a hormonal like do you

800
00:40:23,160 --> 00:40:26,680
Speaker 2: know what I'm saying? And so I think that a

801
00:40:26,680 --> 00:40:27,879
Speaker 2: lot of people are saying it out love.

802
00:40:28,000 --> 00:40:30,680
Speaker 1: And it's also like inherent in the conversation around AOC

803
00:40:31,000 --> 00:40:35,000
Speaker 1: right of like can could she possibly be the candidate?

804
00:40:35,000 --> 00:40:38,560
Speaker 1: And it's like someone who's accomplished, who's well spoken, who

805
00:40:38,640 --> 00:40:41,479
Speaker 1: has a vision for the country for people to still

806
00:40:41,520 --> 00:40:45,600
Speaker 1: be like, I don't know, is there is inherent like

807
00:40:45,640 --> 00:40:49,880
Speaker 1: misogyny in that right for people to be like, she's ready?

808
00:40:50,280 --> 00:40:52,200
Speaker 1: Is she ready? I don't know do people say that

809
00:40:52,320 --> 00:40:57,040
Speaker 1: about any white male president? Right, Like, did anyone ever

810
00:40:57,080 --> 00:41:00,680
Speaker 1: say that about No? No, it was never part of

811
00:41:00,680 --> 00:41:04,480
Speaker 1: that conversation. So I just you're right, like, and I

812
00:41:04,480 --> 00:41:05,839
Speaker 1: think you know, we can hold two things in our

813
00:41:05,840 --> 00:41:06,399
Speaker 1: hands at once.

814
00:41:06,840 --> 00:41:07,560
Speaker 2: Yeah, for sure.

815
00:41:07,600 --> 00:41:12,400
Speaker 4: And I mean and I I I think it's getting.

816
00:41:12,600 --> 00:41:15,680
Speaker 2: Better slowly, but too slowly.

817
00:41:16,520 --> 00:41:19,279
Speaker 4: I think the fact that there are a lot of

818
00:41:19,320 --> 00:41:21,440
Speaker 4: women who were being you know, as a mayor and

819
00:41:21,520 --> 00:41:23,400
Speaker 4: governor and all those things, I think that is an

820
00:41:23,440 --> 00:41:27,439
Speaker 4: indication of things changing. But there's something about the big

821
00:41:27,480 --> 00:41:32,320
Speaker 4: seat that I think that people are still are still.

822
00:41:33,719 --> 00:41:35,600
Speaker 4: I mean, I've heard people say that be like I

823
00:41:35,640 --> 00:41:37,680
Speaker 4: don't know if a woman could do the job. I

824
00:41:37,680 --> 00:41:40,440
Speaker 4: don't like and but they mean it, do you know

825
00:41:40,520 --> 00:41:42,960
Speaker 4: what I mean? And and this is and I think

826
00:41:42,960 --> 00:41:46,399
Speaker 4: that these are people who are sort of well meaning, right,

827
00:41:46,480 --> 00:41:49,520
Speaker 4: but they're like they're legitimately worried about what would happen

828
00:41:49,560 --> 00:41:52,120
Speaker 4: to the country if there was a woman at the helm.

829
00:41:52,360 --> 00:41:54,600
Speaker 3: I mean, yeah, this isn't disagree, Yes.

830
00:41:54,480 --> 00:41:56,719
Speaker 2: And.

831
00:41:57,760 --> 00:42:02,120
Speaker 3: To try and again not just because like oh we

832
00:42:02,160 --> 00:42:04,800
Speaker 3: need not about the identity piece about the policy piece,

833
00:42:05,040 --> 00:42:09,200
Speaker 3: which to me is like the reason I would and

834
00:42:09,239 --> 00:42:12,840
Speaker 3: want to support AOC I hope she runs is because

835
00:42:12,840 --> 00:42:16,000
Speaker 3: of her policies, right, Like I actually it's very hard

836
00:42:16,000 --> 00:42:19,480
Speaker 3: for me to think of a singular another prominent national

837
00:42:19,480 --> 00:42:24,759
Speaker 3: political figure who has that same serious political ethos that

838
00:42:24,800 --> 00:42:27,640
Speaker 3: Bernie sandersy, which are like my politics and those are

839
00:42:27,719 --> 00:42:31,200
Speaker 3: on ethos, right and my view. You know, I was

840
00:42:31,239 --> 00:42:34,840
Speaker 3: on the Kamala campaign at the end, and like everything

841
00:42:34,880 --> 00:42:37,440
Speaker 3: you said is true. I think that that sexism and

842
00:42:37,520 --> 00:42:40,440
Speaker 3: racism played enormous, an enormous piece of this. I also

843
00:42:40,480 --> 00:42:43,840
Speaker 3: think that, like Kamala, Harris was also a flawed candidate

844
00:42:43,840 --> 00:42:44,800
Speaker 3: in many ways as well.

845
00:42:44,680 --> 00:42:46,959
Speaker 1: Right, as many as all as Joe Biden.

846
00:42:50,280 --> 00:42:53,200
Speaker 3: I mean, I got killed online for this, but I

847
00:42:53,280 --> 00:42:55,000
Speaker 3: was it was honest, which was like I worked on

848
00:42:55,000 --> 00:42:56,759
Speaker 3: that campaign. If you put a gun to my head

849
00:42:56,800 --> 00:42:59,160
Speaker 3: right now, it'd be very difficult for me to regurgitates

850
00:42:59,160 --> 00:43:02,880
Speaker 3: you what those policies work, which is crazy. Yeah, it

851
00:43:02,960 --> 00:43:04,840
Speaker 3: was hard to understand. It was it was, it was

852
00:43:05,360 --> 00:43:07,360
Speaker 3: and so and so. Again that's not it's not defending

853
00:43:07,360 --> 00:43:08,640
Speaker 3: what happened there, but it's more to me, it's like

854
00:43:08,640 --> 00:43:12,320
Speaker 3: with AOC, it's a clear if you can do the Bernie,

855
00:43:12,360 --> 00:43:14,319
Speaker 3: if you can do the Bernie argument, which is like

856
00:43:14,880 --> 00:43:17,080
Speaker 3: you got to just get him in the room. You've

857
00:43:17,120 --> 00:43:19,879
Speaker 3: got to force people to listen to him. And once

858
00:43:19,920 --> 00:43:21,360
Speaker 3: the bet is that once you can get them in

859
00:43:21,360 --> 00:43:23,359
Speaker 3: the room with him, all of a sudden they're in.

860
00:43:24,040 --> 00:43:26,520
Speaker 3: And of course that conversion is gonna be much harder

861
00:43:26,520 --> 00:43:28,080
Speaker 3: with a with a woman of color from New York.

862
00:43:28,120 --> 00:43:31,080
Speaker 3: I understand that, But I'd rather take that political bet

863
00:43:31,480 --> 00:43:34,719
Speaker 3: than send somebody like I don't know, Corey Booker or

864
00:43:34,760 --> 00:43:40,520
Speaker 3: Gavin Newsom or who'stever you know, whoever else is just

865
00:43:40,520 --> 00:43:45,360
Speaker 3: going to be more established candidate, and let's change things

866
00:43:45,440 --> 00:43:48,960
Speaker 3: and let's like not do universal health care, but we'll

867
00:43:48,960 --> 00:43:51,359
Speaker 3: give you some tax credit that nobody can figure out.

868
00:43:51,480 --> 00:43:54,560
Speaker 3: And like it doesn't work, it doesn't work. So like that,

869
00:43:54,640 --> 00:43:56,480
Speaker 3: to me, back to the beginning of this conversation, like

870
00:43:56,560 --> 00:43:58,520
Speaker 3: that should be our learning from what's going on in

871
00:43:58,560 --> 00:44:02,279
Speaker 3: New York is like people are hungry not just for change,

872
00:44:02,280 --> 00:44:05,479
Speaker 3: but for like radical specific things that benefit their lives.

873
00:44:05,480 --> 00:44:07,839
Speaker 3: They want affordable housing, they want universal childcare, they want

874
00:44:07,920 --> 00:44:11,120
Speaker 3: universal health care. They want cheaper gas, they want cheaper groceries.

875
00:44:11,160 --> 00:44:13,320
Speaker 3: They want community, they want care, they want a government

876
00:44:13,360 --> 00:44:14,239
Speaker 3: that shows up for them.

877
00:44:14,360 --> 00:44:14,560
Speaker 2: Yeah.

878
00:44:14,800 --> 00:44:16,840
Speaker 3: And when you say it like that, it's like, that

879
00:44:16,840 --> 00:44:18,680
Speaker 3: shouldn't be that hard to put a bunch of candidates

880
00:44:18,680 --> 00:44:20,880
Speaker 3: forward that have that you know, or that are offering you, right,

881
00:44:20,960 --> 00:44:21,600
Speaker 3: it shouldn't be.

882
00:44:24,960 --> 00:44:26,000
Speaker 2: I want to ask you a question.

883
00:44:26,080 --> 00:44:28,680
Speaker 4: I know you've said many times that, I mean, we

884
00:44:28,719 --> 00:44:31,680
Speaker 4: know this to be true that the Democrats are losing men, sure,

885
00:44:31,800 --> 00:44:33,759
Speaker 4: sort of by the buckets, right, Why do.

886
00:44:33,760 --> 00:44:34,400
Speaker 2: You think that is?

887
00:44:34,600 --> 00:44:37,080
Speaker 3: I mean, one is it's back that Unfortunately, to take

888
00:44:37,080 --> 00:44:39,319
Speaker 3: it back to the Joe Rogan piece, and again I

889
00:44:39,360 --> 00:44:41,080
Speaker 3: use Jo Rogan as like an example of a much

890
00:44:41,160 --> 00:44:44,000
Speaker 3: larger problem, which is, well, the first thing I'll say

891
00:44:44,040 --> 00:44:46,719
Speaker 3: is like we're loose. Democrats are losing like everybody, right,

892
00:44:46,719 --> 00:44:48,880
Speaker 3: Our numbers were dropping across the board. So that's just

893
00:44:48,960 --> 00:44:51,800
Speaker 3: it was just like the biggest delta with with men. Basically,

894
00:44:53,280 --> 00:44:55,040
Speaker 3: I genuinely think that one of the biggest problems when

895
00:44:55,040 --> 00:44:57,319
Speaker 3: it comes to men is messengers on the Democratic side,

896
00:44:57,320 --> 00:44:59,239
Speaker 3: and not just not just as a party, but progressives,

897
00:44:59,360 --> 00:45:02,560
Speaker 3: leftists whom whoever. When I got off the Common campaign,

898
00:45:02,560 --> 00:45:04,239
Speaker 3: I spent months going around the country, mainly on the

899
00:45:04,239 --> 00:45:06,800
Speaker 3: East coast, like talking to donors, talking to political leaders,

900
00:45:06,840 --> 00:45:09,680
Speaker 3: talking to people trying to fundraise base. I was trying

901
00:45:09,719 --> 00:45:11,719
Speaker 3: to get figure out how do we fundraise and get

902
00:45:11,760 --> 00:45:16,719
Speaker 3: money to support political creators, independent journalists, and I wanted

903
00:45:16,760 --> 00:45:18,480
Speaker 3: to help lift up men. I want to lift up

904
00:45:18,520 --> 00:45:20,399
Speaker 3: progressive men to be like, look, there's more people out here.

905
00:45:20,840 --> 00:45:22,680
Speaker 3: And it was really hard to do that. The reason

906
00:45:22,719 --> 00:45:24,000
Speaker 3: that I one of the reasons I started doing the

907
00:45:24,000 --> 00:45:25,719
Speaker 3: content myself was because people kept coming up to me

908
00:45:25,840 --> 00:45:28,879
Speaker 3: and being like, well, like you're a guy, Like you're

909
00:45:28,880 --> 00:45:31,080
Speaker 3: a dude, like you talk about the stuff decently, Like

910
00:45:31,080 --> 00:45:32,200
Speaker 3: why do you try it? And I was like, I

911
00:45:32,239 --> 00:45:34,480
Speaker 3: don't want to. I don't want to, And I al

912
00:45:34,680 --> 00:45:36,560
Speaker 3: honestly started doing it out of frustration. I was. So

913
00:45:36,760 --> 00:45:38,400
Speaker 3: I was like, all right, like I'll just try this.

914
00:45:39,040 --> 00:45:41,200
Speaker 3: And so that's a simplified answer, but I actually think

915
00:45:41,200 --> 00:45:42,799
Speaker 3: it's real. I think that one of the problems is

916
00:45:42,840 --> 00:45:47,480
Speaker 3: like we need more people on the left who are

917
00:45:47,560 --> 00:45:51,000
Speaker 3: men talking to men. They're not delivering scripted talking points

918
00:45:51,040 --> 00:45:53,680
Speaker 3: that were made in some DNC war room that was

919
00:45:53,719 --> 00:45:55,560
Speaker 3: like this is what men want to hear, this is

920
00:45:55,640 --> 00:45:57,960
Speaker 3: how you talk about football, Like no, like you I

921
00:45:58,000 --> 00:46:01,480
Speaker 3: just have messengers. That's one piece. I also think frankly

922
00:46:01,560 --> 00:46:07,840
Speaker 3: that like on a larger social discussion, like there is

923
00:46:07,880 --> 00:46:11,000
Speaker 3: a real tangible feeling among men everywhere that there was

924
00:46:11,040 --> 00:46:13,520
Speaker 3: a war on men. Right, I don't agree with that feeling,

925
00:46:13,840 --> 00:46:16,680
Speaker 3: but you you pull men across the country, like there

926
00:46:16,719 --> 00:46:19,480
Speaker 3: was a feeling of that generally. And you know, one

927
00:46:19,480 --> 00:46:21,839
Speaker 3: of my feelings of the kind of like me too

928
00:46:21,880 --> 00:46:24,520
Speaker 3: movement and the post MeToo movement, and this wasn't a

929
00:46:24,560 --> 00:46:26,919
Speaker 3: failure of action or there wasn't an individual to point

930
00:46:26,920 --> 00:46:29,400
Speaker 3: at this, But something I say a lot is, you know,

931
00:46:31,200 --> 00:46:32,640
Speaker 3: there's nothing we could have done in the moment. It's

932
00:46:32,640 --> 00:46:35,440
Speaker 3: only it's only retrospective. But I think that there was

933
00:46:35,480 --> 00:46:39,560
Speaker 3: a there was never a kind of like macro offering

934
00:46:40,160 --> 00:46:43,080
Speaker 3: of telling young men like, well, it's not just it's

935
00:46:43,120 --> 00:46:44,960
Speaker 3: not just what it's bad, but here's what's good. Here's

936
00:46:45,000 --> 00:46:47,560
Speaker 3: actually a better option. Right, Yes, we're telling what a

937
00:46:47,600 --> 00:46:49,920
Speaker 3: bad option is, but look at this other option of masculinity,

938
00:46:49,960 --> 00:46:53,040
Speaker 3: look at this other option of community and work and whatever.

939
00:46:53,640 --> 00:46:56,640
Speaker 3: And so I think there's many reasons, but I think that,

940
00:46:56,719 --> 00:47:00,600
Speaker 3: like I do think that like the Democrats as a whole,

941
00:47:01,280 --> 00:47:03,439
Speaker 3: they did failed a message to men. They did fail

942
00:47:03,520 --> 00:47:05,000
Speaker 3: to talk to them. They did fail to talk about

943
00:47:05,000 --> 00:47:07,200
Speaker 3: them about the things that they care about in ways

944
00:47:07,239 --> 00:47:09,600
Speaker 3: that they wanted that they that they tend to communicate.

945
00:47:09,719 --> 00:47:13,759
Speaker 1: Do you see, like right now, the success of progressive

946
00:47:13,760 --> 00:47:17,799
Speaker 1: ideals in current elections? Do you see the larger Democratic

947
00:47:17,840 --> 00:47:23,799
Speaker 1: Party anywhere and any example taking those progressive ideals and

948
00:47:23,840 --> 00:47:29,160
Speaker 1: incorporating them into upcoming midterm elections given the most recent

949
00:47:29,200 --> 00:47:34,400
Speaker 1: successes with so Ron, with the races in New York, Yeah,

950
00:47:34,560 --> 00:47:36,200
Speaker 1: is anyone learning from those lessons?

951
00:47:36,280 --> 00:47:36,520
Speaker 4: Yeah?

952
00:47:36,600 --> 00:47:38,719
Speaker 3: I mean I think, yes, I think, and I think

953
00:47:38,760 --> 00:47:40,440
Speaker 3: that's something we need to think about and we need

954
00:47:40,480 --> 00:47:43,440
Speaker 3: to do, we need to like communicate about. Is I

955
00:47:43,440 --> 00:47:44,640
Speaker 3: think there tends to be a kind of like a

956
00:47:44,640 --> 00:47:48,080
Speaker 3: misunderstanding of like what the Democratic Party is, right, Like

957
00:47:48,400 --> 00:47:53,320
Speaker 3: there's the DNC, which is its own organization, right capital

958
00:47:53,400 --> 00:47:56,279
Speaker 3: D Capital D Capital and Capital C and the DNC

959
00:47:56,400 --> 00:47:59,239
Speaker 3: itself we often in like dialogue and like we talk

960
00:47:59,280 --> 00:48:01,319
Speaker 3: about it as if it's in a room with Chuck

961
00:48:01,320 --> 00:48:03,880
Speaker 3: Schumer and hickem Jeffres like drafting policy, Like that's not

962
00:48:03,960 --> 00:48:08,359
Speaker 3: what's happening. DNC is like functionally a fundraising body, Like

963
00:48:08,400 --> 00:48:10,400
Speaker 3: that's what their job is their job is to fundraise

964
00:48:10,480 --> 00:48:13,799
Speaker 3: and then distribute cash to races around the country and

965
00:48:13,800 --> 00:48:16,800
Speaker 3: help Democrats win. Then you have like the Democratic Party,

966
00:48:16,960 --> 00:48:20,360
Speaker 3: like congressional leaders and Senate leaders like Kim jeffres Chruck Schumer.

967
00:48:20,480 --> 00:48:22,440
Speaker 3: That so to me, it's like it's two different conversations.

968
00:48:22,760 --> 00:48:25,520
Speaker 3: And so I think, like the Democratic Party, we're seeing

969
00:48:25,560 --> 00:48:28,280
Speaker 3: it right. There's races that are happening, People are getting moved,

970
00:48:28,440 --> 00:48:33,440
Speaker 3: are getting pushed left. The DNC is not drafting policy.

971
00:48:33,440 --> 00:48:35,120
Speaker 3: I think the DNC is going to follow where the

972
00:48:35,160 --> 00:48:37,320
Speaker 3: voters go. I think, to me, the real question is

973
00:48:37,360 --> 00:48:42,439
Speaker 3: the institutions, which are the current elected official Democrats. Those

974
00:48:42,440 --> 00:48:44,480
Speaker 3: are the people who we need to move and like

975
00:48:44,800 --> 00:48:47,000
Speaker 3: they have not proven themselves as moving yet, yeah, right,

976
00:48:47,080 --> 00:48:49,160
Speaker 3: Like those are the ones who have not you know,

977
00:48:49,320 --> 00:48:51,959
Speaker 3: who have not shifted on Israel or barely shifted on Israel,

978
00:48:52,000 --> 00:48:54,520
Speaker 3: barely shifted on an APAC, barely shift on universal health care,

979
00:48:56,160 --> 00:48:59,920
Speaker 3: and who laugh at the progressive movement as childish or

980
00:49:00,239 --> 00:49:03,400
Speaker 3: stupid or inefficient or you don't know what you're doing here.

981
00:49:03,640 --> 00:49:05,719
Speaker 3: Which again not to go back to grand Platners again,

982
00:49:05,719 --> 00:49:07,080
Speaker 3: when I think the grand Platner thing is such a

983
00:49:07,120 --> 00:49:09,080
Speaker 3: disaster because now they get they get the point of

984
00:49:09,120 --> 00:49:11,080
Speaker 3: that and say, we told you so, you guys don't

985
00:49:11,080 --> 00:49:11,680
Speaker 3: know what you're doing.

986
00:49:11,719 --> 00:49:15,279
Speaker 1: Therefore, come over here. Yeah, just put your weight and

987
00:49:15,400 --> 00:49:16,920
Speaker 1: energy in our racist Yeah.

988
00:49:17,040 --> 00:49:19,200
Speaker 3: Exactly, trust us. We know how to do this, even

989
00:49:19,239 --> 00:49:20,960
Speaker 3: though we keep losing elections.

990
00:49:20,520 --> 00:49:21,680
Speaker 2: Over right, right, right.

991
00:49:21,719 --> 00:49:24,839
Speaker 3: Trust us, you know. But I'll say, like, if they

992
00:49:24,840 --> 00:49:27,319
Speaker 3: were smart, they would shift right because the other thing

993
00:49:27,360 --> 00:49:29,839
Speaker 3: I'll say is like this whole idea of like we

994
00:49:29,880 --> 00:49:32,800
Speaker 3: need to go back to the middle is such bullshit

995
00:49:33,040 --> 00:49:36,360
Speaker 3: to me. There is no middle, right, Like, that's not

996
00:49:36,480 --> 00:49:40,439
Speaker 3: how this like fake spectrum that we have is non existent. Right,

997
00:49:40,560 --> 00:49:43,040
Speaker 3: And again, I think that's what like Bernie proves, and

998
00:49:43,080 --> 00:49:46,239
Speaker 3: it's what Zoron proved, like people have also forget Now

999
00:49:46,280 --> 00:49:48,759
Speaker 3: I'm ranting, but like New York in the presidential in

1000
00:49:48,800 --> 00:49:51,520
Speaker 3: twenty twenty four was the biggest swing towards Trump of

1001
00:49:51,520 --> 00:49:54,319
Speaker 3: anywhere in the country. So eleven point swinging, and Zoron

1002
00:49:54,400 --> 00:49:56,560
Speaker 3: came in and pulled all those people back. And so

1003
00:49:56,719 --> 00:50:01,719
Speaker 3: like you can win people who are either Republicans or

1004
00:50:01,760 --> 00:50:04,160
Speaker 3: skeptical of Democrats, you can win them back with policies

1005
00:50:04,160 --> 00:50:06,839
Speaker 3: that they like. Right, And again it's these policies. It's

1006
00:50:06,880 --> 00:50:10,839
Speaker 3: these positions, and so they were movable. People are adaptable, right, Like,

1007
00:50:11,000 --> 00:50:15,720
Speaker 3: especially if we're talking about these issues that literally affect individuals.

1008
00:50:15,160 --> 00:50:16,080
Speaker 2: Right their day to day.

1009
00:50:16,320 --> 00:50:20,000
Speaker 1: There's someone who maybe maybe universal childcare didn't appeal to

1010
00:50:20,040 --> 00:50:23,080
Speaker 1: someone five years ago, but now they got a kid, right,

1011
00:50:23,239 --> 00:50:26,800
Speaker 1: and they're trying to work, and health insurance premiums just

1012
00:50:26,840 --> 00:50:29,440
Speaker 1: went up five hundred dollars a year for them, and

1013
00:50:29,520 --> 00:50:31,520
Speaker 1: so now all of a sudden, that's a real that

1014
00:50:31,719 --> 00:50:33,640
Speaker 1: is the issue they're voting for now.

1015
00:50:33,800 --> 00:50:36,640
Speaker 4: Right, It's impossible to buy a home, you know, things

1016
00:50:36,680 --> 00:50:38,719
Speaker 4: that are gas prices are ridiculous.

1017
00:50:38,760 --> 00:50:41,520
Speaker 1: They've been renting fifteen years. Finally they just renew the

1018
00:50:41,520 --> 00:50:43,600
Speaker 1: airt least for the fifteenth year. Okay, yeah, maybe it's

1019
00:50:43,640 --> 00:50:45,680
Speaker 1: time to buy a home and they realize, but not possible.

1020
00:50:45,840 --> 00:50:47,960
Speaker 3: And I waso think, like this is not to keep

1021
00:50:47,960 --> 00:50:50,799
Speaker 3: time about Israel, Like I'm a Jewish, I'm Jewish, Like

1022
00:50:50,840 --> 00:50:52,800
Speaker 3: this is I'm very clear on this how I feel about.

1023
00:50:52,600 --> 00:50:54,160
Speaker 1: This, Like I wanted to ask you about that. Yeah,

1024
00:50:54,239 --> 00:50:59,600
Speaker 1: you're a Jewish progressive voice in this space, right, how

1025
00:50:59,640 --> 00:51:01,960
Speaker 1: do you like, how do you purchase this conversation? Because

1026
00:51:01,960 --> 00:51:04,080
Speaker 1: I know you have Jewish friends as well, Like, how

1027
00:51:04,120 --> 00:51:06,520
Speaker 1: do you talk to the family. Yeah, I mean it's not.

1028
00:51:07,040 --> 00:51:14,040
Speaker 3: Horrible, it's horrible, but like I just felt like, and

1029
00:51:14,080 --> 00:51:19,279
Speaker 3: continue to feel like, how fucking dare you use my

1030
00:51:19,480 --> 00:51:24,000
Speaker 3: name to justify any of this? Right? Like they made

1031
00:51:24,000 --> 00:51:27,719
Speaker 3: they decided to make it personal by conflating Judaism with Zionism,

1032
00:51:27,719 --> 00:51:30,840
Speaker 3: by conflating Judaism with the state of Israel, and the

1033
00:51:30,840 --> 00:51:34,680
Speaker 3: moment they did that and used my family and my

1034
00:51:34,840 --> 00:51:38,440
Speaker 3: family's history and my community to defend a genocide. I

1035
00:51:38,480 --> 00:51:42,600
Speaker 3: said that then like absolutely not, Like that's unacceptable to me.

1036
00:51:43,040 --> 00:51:44,840
Speaker 3: That's been one of the most incredible things about the

1037
00:51:44,880 --> 00:51:48,120
Speaker 3: last year of this content is is this these discussions

1038
00:51:48,120 --> 00:51:50,440
Speaker 3: around Israel because the amount of positive I mean, I

1039
00:51:50,440 --> 00:51:52,839
Speaker 3: get destroyed, of course when I talk about it, Joe,

1040
00:51:52,880 --> 00:51:56,000
Speaker 3: of course, but I also get so much positive feedback

1041
00:51:56,000 --> 00:52:00,000
Speaker 3: from not just Palestinian Americans and Palestinians, but Jewish Americans

1042
00:52:00,280 --> 00:52:03,399
Speaker 3: who were like, thank you for saying this. I don't.

1043
00:52:03,760 --> 00:52:06,160
Speaker 3: I haven't either. I felt these things, but I haven't

1044
00:52:06,160 --> 00:52:09,120
Speaker 3: had the words to describe them. Or I feel these things,

1045
00:52:09,160 --> 00:52:10,840
Speaker 3: but I'm terrified to say this to my dad or

1046
00:52:10,880 --> 00:52:14,920
Speaker 3: to my uncle or at my synagogue, and so I

1047
00:52:15,080 --> 00:52:17,560
Speaker 3: personally believe that like the most important voice in the

1048
00:52:17,640 --> 00:52:22,000
Speaker 3: room right now, unfortunately, like is Jewish Americans speaking up

1049
00:52:22,040 --> 00:52:24,279
Speaker 3: against these things, because those are the people who they're

1050
00:52:24,320 --> 00:52:27,000
Speaker 3: the only ones who can say this is bullshit, this

1051
00:52:27,040 --> 00:52:28,960
Speaker 3: is genocide, And they're the only ones who people can't

1052
00:52:29,000 --> 00:52:31,560
Speaker 3: point out and say you're being an anti Semi because sorry,

1053
00:52:31,800 --> 00:52:34,160
Speaker 3: I'm not an anti Semite. I'm Jewish. Hate to break

1054
00:52:34,200 --> 00:52:36,640
Speaker 3: it too, you know, so, like it's up to it,

1055
00:52:37,280 --> 00:52:39,200
Speaker 3: I think unfortunately the way it does fall on our

1056
00:52:39,239 --> 00:52:42,040
Speaker 3: shoulders here, like we have to speak up against this stuff.

1057
00:52:42,480 --> 00:52:45,400
Speaker 4: What about the argument that so you as a Jewish

1058
00:52:45,480 --> 00:52:48,640
Speaker 4: man and if that's your stance, then you know you

1059
00:52:48,719 --> 00:52:49,520
Speaker 4: are a victim of.

1060
00:52:49,520 --> 00:52:50,280
Speaker 2: Like self loathing?

1061
00:52:50,360 --> 00:52:50,920
Speaker 3: Do you know what I mean?

1062
00:52:51,200 --> 00:52:52,680
Speaker 2: You must hear that alone self?

1063
00:52:52,920 --> 00:52:55,880
Speaker 3: You Yeah, I did a whole video on this. I asked,

1064
00:52:56,080 --> 00:52:57,960
Speaker 3: I said, can you please explain to me what it's

1065
00:52:57,960 --> 00:53:00,680
Speaker 3: self hating JU means? Can somebody like write it out?

1066
00:53:00,719 --> 00:53:04,440
Speaker 3: Like what does that mean? Genuinely? I don't understand. Do

1067
00:53:04,520 --> 00:53:06,680
Speaker 3: I hate myself? Do I hate my family? Do I

1068
00:53:06,719 --> 00:53:09,840
Speaker 3: hate my history? Do I hate what? Do I hate?

1069
00:53:10,040 --> 00:53:13,400
Speaker 3: What does that mean? So to me? It's it's just

1070
00:53:13,480 --> 00:53:18,160
Speaker 3: a ridiculous talking point. It doesn't make sense to me. No,

1071
00:53:18,440 --> 00:53:23,839
Speaker 3: what I hate is people justifying genocide and killing with

1072
00:53:24,040 --> 00:53:26,000
Speaker 3: any group of people, like it doesn't have it could

1073
00:53:26,000 --> 00:53:27,680
Speaker 3: be anybody. But I just happened to be a Jew,

1074
00:53:28,040 --> 00:53:30,840
Speaker 3: you know, and you know, for me, growing up Jewish,

1075
00:53:30,880 --> 00:53:35,080
Speaker 3: my family was very Being Jewish was political, like being

1076
00:53:35,160 --> 00:53:39,400
Speaker 3: Jewish and being political was Jewish. Like the what Judaism

1077
00:53:39,440 --> 00:53:42,200
Speaker 3: was in my family was quite literally like it was

1078
00:53:42,320 --> 00:53:44,840
Speaker 3: learning about oppression, and it was learning about genocide, and

1079
00:53:44,880 --> 00:53:48,560
Speaker 3: it was learning about imperialism, and it was protesting. And

1080
00:53:48,600 --> 00:53:51,400
Speaker 3: I grew up going to anti Afghanistan war protests and

1081
00:53:51,440 --> 00:53:53,359
Speaker 3: pride praise with my parents with my little sign, and

1082
00:53:53,400 --> 00:53:55,960
Speaker 3: like it was always very clear to me that like

1083
00:53:56,080 --> 00:53:58,920
Speaker 3: this is a Jewish act, Like that is what Jews do.

1084
00:53:58,960 --> 00:54:02,400
Speaker 3: We stand up and so to me, October seventh and

1085
00:54:02,480 --> 00:54:05,360
Speaker 3: everything after was, and the reaction after was. It remains

1086
00:54:05,440 --> 00:54:08,120
Speaker 3: confusing to me for many reasons, but one just being

1087
00:54:08,120 --> 00:54:11,280
Speaker 3: I'm like, this isn't not like, how can you say

1088
00:54:11,440 --> 00:54:15,560
Speaker 3: that where people who've experienced like immense harm and damage

1089
00:54:15,760 --> 00:54:18,640
Speaker 3: and then choose to inflict that on another person. It

1090
00:54:18,640 --> 00:54:22,440
Speaker 3: doesn't make sense to me, it doesn't work. But to

1091
00:54:22,440 --> 00:54:25,400
Speaker 3: bring that back to the kind of like everyday kitchen

1092
00:54:25,440 --> 00:54:28,799
Speaker 3: table political issues that we're talking about. I also think

1093
00:54:28,800 --> 00:54:30,160
Speaker 3: that's one of the reasons. I think this is one

1094
00:54:30,160 --> 00:54:31,960
Speaker 3: of the reasons that a lot of Republicans and but

1095
00:54:32,040 --> 00:54:35,080
Speaker 3: mainly like moderate Democrats, what they're missing here is that

1096
00:54:35,880 --> 00:54:38,200
Speaker 3: I think Israel, and by Israel I mean like Israel's

1097
00:54:38,239 --> 00:54:41,120
Speaker 3: actions in Palestine and Gaza. The reason one of the

1098
00:54:41,120 --> 00:54:43,799
Speaker 3: reasons to become such an important issue for voters who

1099
00:54:44,239 --> 00:54:46,440
Speaker 3: they didn't think it would be an issue for is

1100
00:54:46,440 --> 00:54:48,319
Speaker 3: because it's a litmus test in the sense of it's like,

1101
00:54:49,480 --> 00:54:53,560
Speaker 3: if this politician can't be honest about the slaughtering of

1102
00:54:53,600 --> 00:54:56,080
Speaker 3: this family, how the fuck do I expect him to

1103
00:54:56,080 --> 00:54:58,719
Speaker 3: care about me? Like? Right? I think it was like

1104
00:54:58,719 --> 00:55:01,719
Speaker 3: like Coats said this, if we can't trust them with genocide,

1105
00:55:01,719 --> 00:55:03,960
Speaker 3: how we're going to trust them with democracy? Right? Like

1106
00:55:04,040 --> 00:55:06,359
Speaker 3: that to me is it's completely true. And I think

1107
00:55:06,400 --> 00:55:08,480
Speaker 3: that that's why this is such a potent issue with

1108
00:55:08,520 --> 00:55:11,160
Speaker 3: so many Americans who otherwise wouldn't care about foreign policy

1109
00:55:11,400 --> 00:55:13,160
Speaker 3: is because if you don't, if you're if you're telling

1110
00:55:13,200 --> 00:55:16,200
Speaker 3: me to deny and lie to myself about what I'm

1111
00:55:16,200 --> 00:55:18,600
Speaker 3: seeing with my own two eyes about families and children

1112
00:55:18,600 --> 00:55:22,400
Speaker 3: being slaughtered. Of course, I don't expect you're going to

1113
00:55:22,440 --> 00:55:25,120
Speaker 3: fight for me and my struggling family. How does that?

1114
00:55:25,160 --> 00:55:27,440
Speaker 3: How would that ever make sense? So to me, it's

1115
00:55:27,800 --> 00:55:32,560
Speaker 3: a it's a the Israel issue. The Gauza issue is

1116
00:55:32,680 --> 00:55:36,399
Speaker 3: a it shines a light on how these politicians view

1117
00:55:36,480 --> 00:55:38,239
Speaker 3: the kitchen table problems. If you don't care about this,

1118
00:55:38,280 --> 00:55:39,000
Speaker 3: how could you ever.

1119
00:55:38,840 --> 00:55:43,040
Speaker 1: Care about Well, it came up with Zoron in the

1120
00:55:43,239 --> 00:55:46,399
Speaker 1: debate what would be the first country you would visit

1121
00:55:46,600 --> 00:55:49,600
Speaker 1: as mayor of New York And his answer was, why

1122
00:55:49,640 --> 00:55:51,600
Speaker 1: do I need to visit any other country? This is

1123
00:55:52,680 --> 00:55:55,960
Speaker 1: the race for New York City. So I was going

1124
00:55:56,040 --> 00:55:58,680
Speaker 1: to be here. That was my plan, was to be

1125
00:55:58,800 --> 00:56:03,920
Speaker 1: the mayor of New York City, where I'm running from mayor.

1126
00:56:04,680 --> 00:56:07,440
Speaker 1: So it was like and it was like, oh, you

1127
00:56:07,480 --> 00:56:11,759
Speaker 1: can say that, right and right.

1128
00:56:11,040 --> 00:56:14,040
Speaker 4: That this idea that you you can answer the question

1129
00:56:14,280 --> 00:56:14,600
Speaker 4: like that.

1130
00:56:14,680 --> 00:56:18,160
Speaker 2: You don't know, you don't have to say, oh, I'll

1131
00:56:18,200 --> 00:56:19,560
Speaker 2: go wherever, you know what I mean?

1132
00:56:20,640 --> 00:56:22,919
Speaker 4: Let me ask you really quickly. I know you said

1133
00:56:22,960 --> 00:56:27,240
Speaker 4: that you asked your audience what define a self hating you?

1134
00:56:27,760 --> 00:56:30,160
Speaker 4: And so I'm sure you got lots of crazy answers,

1135
00:56:30,160 --> 00:56:33,239
Speaker 4: but was there anybody who, even if you disagree with

1136
00:56:33,280 --> 00:56:36,000
Speaker 4: what they said, who gave you like your self hating

1137
00:56:36,080 --> 00:56:37,600
Speaker 4: you because of that?

1138
00:56:37,680 --> 00:56:40,439
Speaker 3: No, no, don't. I don't really feel like I did.

1139
00:56:41,040 --> 00:56:44,400
Speaker 3: I felt like there was there was a complete failure

1140
00:56:44,440 --> 00:56:48,800
Speaker 3: to deliver on what It doesn't mean anything. So no,

1141
00:56:48,800 --> 00:56:52,160
Speaker 3: no answer is no nobody nobody answer. No one had

1142
00:56:52,160 --> 00:56:55,160
Speaker 3: a good answer for you. Right well, if you want

1143
00:56:55,200 --> 00:57:00,120
Speaker 3: to fight in Charlie's comments, where can they find you?

1144
00:57:00,040 --> 00:57:00,080
Speaker 4: You?

1145
00:57:00,800 --> 00:57:06,200
Speaker 3: Thank you, I appreciate it's more. Uh, my online name

1146
00:57:06,239 --> 00:57:08,640
Speaker 3: is Shay Chuck h easy c h U c K.

1147
00:57:08,800 --> 00:57:10,200
Speaker 3: It's on Instagram and TikTok.

1148
00:57:11,440 --> 00:57:13,719
Speaker 1: And if you're angry, just to m M right. I

1149
00:57:13,719 --> 00:57:14,640
Speaker 1: think that's what you want.

1150
00:57:14,680 --> 00:57:17,480
Speaker 3: Yeah. Yeah, there would likely to be some larger progress

1151
00:57:17,560 --> 00:57:18,160
Speaker 3: coming soon.

1152
00:57:18,760 --> 00:57:19,280
Speaker 1: That's exciting.

1153
00:57:19,280 --> 00:57:21,680
Speaker 3: I can talk to you about soon. But yeah, right now,

1154
00:57:21,680 --> 00:57:25,480
Speaker 3: it's just there and amazing shows like this great.

1155
00:57:25,600 --> 00:57:26,919
Speaker 1: Well, thank you for joining us.

1156
00:57:26,800 --> 00:57:28,640
Speaker 3: It's great. Yeah, thank you for having.

1157
00:57:28,400 --> 00:57:30,400
Speaker 2: Me come back when you do whatever your next big

1158
00:57:30,440 --> 00:57:30,760
Speaker 2: thing is.

1159
00:57:31,280 --> 00:57:32,560
Speaker 3: Love to hear about again.

1160
00:57:32,720 --> 00:57:35,960
Speaker 1: We'll be right back. That was so great. I'm so

1161
00:57:36,000 --> 00:57:38,120
Speaker 1: glad we got to meet Chuck too. It was really

1162
00:57:38,160 --> 00:57:39,640
Speaker 1: really Charlie Chuck.

1163
00:57:40,120 --> 00:57:40,640
Speaker 2: Oh, I don't know.

1164
00:57:40,680 --> 00:57:42,280
Speaker 1: We didn't ask him call me by your name.

1165
00:57:42,560 --> 00:57:44,200
Speaker 2: Yeah, but that was an interesting conversation.

1166
00:57:44,320 --> 00:57:46,919
Speaker 1: Rose by any other name. No, that was really great.

1167
00:57:47,240 --> 00:57:49,240
Speaker 2: It's really interesting to think about.

1168
00:57:49,240 --> 00:57:53,160
Speaker 1: Your time for d MS. Okay, all right, so next

1169
00:57:53,240 --> 00:57:55,760
Speaker 1: because so next week, I do I owe the people

1170
00:57:56,200 --> 00:57:59,959
Speaker 1: of my DMS some answers, especially the city of boss

1171
00:58:00,080 --> 00:58:05,000
Speaker 1: Sten who seems to have hopped horseback and gone one

1172
00:58:05,040 --> 00:58:08,919
Speaker 1: off Mineland tour by sea announced it. I'm come as

1173
00:58:08,920 --> 00:58:13,560
Speaker 1: the crew announcing that I'm coming for them. After all

1174
00:58:13,600 --> 00:58:16,240
Speaker 1: I said was one tiny little comment about the city

1175
00:58:16,280 --> 00:58:17,800
Speaker 1: of Boston, and next thing I know.

1176
00:58:17,840 --> 00:58:19,320
Speaker 2: Let the record reflect that I liked.

1177
00:58:20,120 --> 00:58:22,400
Speaker 1: Let the record reflect that she The firing squad was

1178
00:58:22,440 --> 00:58:24,520
Speaker 1: lining up and Melissa said, do you want do you

1179
00:58:24,960 --> 00:58:26,800
Speaker 1: need some help with that? You guys, dohyd you need

1180
00:58:26,840 --> 00:58:29,600
Speaker 1: a little water with your aim. Anyway, thank you for

1181
00:58:29,640 --> 00:58:32,400
Speaker 1: listening to brief recess. I'm Michael Foot, Melissa albris We'll

1182
00:58:32,440 --> 00:58:33,240
Speaker 1: catch you next week.

1183
00:58:33,440 --> 00:58:33,640
Speaker 4: Bye.

1184
00:58:34,000 --> 00:58:40,360
Speaker 1: Unless you're from Boston. This has been an exactly right

1185
00:58:40,400 --> 00:58:44,400
Speaker 1: production recorded at iHeart Studios, hosted by me Michael Foot.

1186
00:58:44,320 --> 00:58:47,280
Speaker 2: And me Melissa Albrant. Our producer is c. J. Ferroni.

1187
00:58:47,440 --> 00:58:49,680
Speaker 1: This episode was edited by Nicholas Galucci.

1188
00:58:49,840 --> 00:58:52,920
Speaker 4: Our associate producer is Christina Chamberlain, and our guest booker

1189
00:58:53,040 --> 00:58:53,920
Speaker 4: is Patria Cottner.

1190
00:58:54,280 --> 00:58:56,920
Speaker 1: Our theme song was composed by Tom Brievogeal with artwork

1191
00:58:56,960 --> 00:59:00,800
Speaker 1: from Charlotte Delarue and Manessa Lilac, with photography by Brad Obono.

1192
00:59:01,080 --> 00:59:04,920
Speaker 4: Brief Recess is executive produced by Karen Kilgareff, Georgia hart Stark,

1193
00:59:05,000 --> 00:59:06,000
Speaker 4: and Daniell Kramer.

1194
00:59:06,080 --> 00:59:08,400
Speaker 1: You can find me on Instagram at Department of Redundancy

1195
00:59:08,400 --> 00:59:11,120
Speaker 1: Department or on TikTok at Michael foot.

1196
00:59:10,960 --> 00:59:13,840
Speaker 2: And I'm on both Instagram and TikTok as Melissa Malbranch.

1197
00:59:14,080 --> 00:59:18,200
Speaker 1: Got legal questions, reach out at brief Recess at exactlyrightmedia

1198
00:59:18,320 --> 00:59:21,280
Speaker 1: dot com. Listen to Brief Recess on the iHeartRadio app,

1199
00:59:21,440 --> 00:59:24,480
Speaker 1: Apple Podcasts or wherever you get your podcasts, and of

1200
00:59:24,560 --> 00:59:27,480
Speaker 1: course we're a podcast with video. Search for Brief Recess

1201
00:59:27,560 --> 00:59:28,800
Speaker 1: on YouTube