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Speaker 1: Hi everyone, I'm Kitty Kuric, and this is next question.

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Speaker 1: You know, I have been covering elections since Reagan and

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Speaker 1: Carter back in nineteen eighty. Yes, everyone, I am that old.

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Speaker 1: And to say that the way a campaign is run,

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Speaker 1: the way a campaign is covered has changed dramatically, well

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Speaker 1: that is a massive understatement. Social media and internet culture

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Speaker 1: has been a driving force of Donald Trump's campaigns. Let

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Speaker 1: us not forget his late night tweeting and now Kamala

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Speaker 1: with her massive digital team overseeing her TikTok and Instagram account.

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Speaker 1: So I really wanted to have a conversation to understand

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Speaker 1: how the various platforms are informing voters and what impact

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Speaker 1: they'll have. And there's no one better equipped to help

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Speaker 1: guide this conversation than cultural commentator internet aficionado Evan ross Katz. Evan, Hey,

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Speaker 1: thank you for being my date today.

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Speaker 2: Oh my god, Katie, I will always be your plus

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Speaker 2: one when called upon.

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Speaker 1: Well we should probably. I think some of my listeners

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Speaker 1: might not be familiar with your work. Evan, How would

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Speaker 1: you describe yourself and what you do? I would say

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Speaker 1: I am a pop culture chronicler. So Katie, thanks largely

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Speaker 1: to you. Actually, thanks entirely to you.

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Speaker 2: Mike White deemed me at the most valuable hype man

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Speaker 2: in TV history, which is literally going to permanently go

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Speaker 2: in my bio.

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Speaker 1: And of course Mike White is the writer, creator, director

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Speaker 1: of White Lotus. And we should just talk very briefly

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Speaker 1: before we bring Molly in about how you and I

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Speaker 1: got to know each other. I mean, I kind of

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Speaker 1: made you what you are today, Evan.

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Speaker 2: You did you did you? I credit you with all

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Speaker 2: of my quote unquook success is all through the pipeline

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Speaker 2: of Dittye girk Well to explain, please, So you had

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Speaker 2: me on one of your We did a live show together.

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Speaker 2: I think this was like what two years ago now, time.

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Speaker 1: Really does fly right at City Winery.

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Speaker 2: Yes, and you surprised me with a video from Mike Way,

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Speaker 2: which is when he gave me, you know, deemed me

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Speaker 2: the super fan that I am. And then from there

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Speaker 2: I formed a friendship with Mike and now I'm involved

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Speaker 2: in some facet of the White Loatus that I can't

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Speaker 2: quite yet announce, but it has led to you know,

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Speaker 2: exciting professional opportunities for me via Mike Waite.

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Speaker 1: Wow. That is awesome, Hi, Molly. So we might as well, say,

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Speaker 1: Hi'm Molly John Fast, who is our guest today. Molly

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Speaker 1: is an MSNBC political analyst, host of the Fast Politics podcast.

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Speaker 1: She's a Vanity Fair Special correspondent. She wears many hats,

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Speaker 1: but today she's wearing the hat as our guest of

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Speaker 1: next question. Molly John Fast and Evan ross Katz. I

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Speaker 1: don't know. It just seems to fit together, doesn't it, Mollie.

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Speaker 3: Three names for the when right?

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Speaker 1: Well, let's talk about internet culture, because that's something that

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Speaker 1: Evan is uniquely familiar with and I think is actually

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Speaker 1: in some ways responsible for certain aspects of it. And you,

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Speaker 1: Molly started a series on Instagram called Internet Stuff. When

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Speaker 1: did you decide to start sharing tweets and memes you

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Speaker 1: stumble upon?

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Speaker 3: Oh, that's a really interesting question that no one has

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Speaker 3: ever asked me about it. So so much of my

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Speaker 3: life is this obsession, and it's a question I ask

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Speaker 3: people all the time, and I'm curious to hear both

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Speaker 3: of your answers of it too. I hope were this

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Speaker 3: country three hundred plus million people really like three hundred

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Speaker 3: and thirty million people. That is a humongous country, and

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Speaker 3: only like ten million people read the newspaper right, two million,

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Speaker 3: three million watch cable news four or five, six, maybe

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Speaker 3: as many as seven watch you know, regular news. So

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Speaker 3: where is everyone getting all of their news from? And

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Speaker 3: I have become obsessed with this idea, like where are

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Speaker 3: people getting their news from?

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Speaker 2: Where?

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Speaker 3: And as Twitter AX has become less and less useful

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Speaker 3: because again there's no algorithm. And I'm curious what you

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Speaker 3: both think of this, because there's no algorithmic transparency on

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Speaker 3: any of these sides. So we don't know why some

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Speaker 3: things do well and other things don't do well right right,

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Speaker 3: And we don't know why, you know, the algorithm likes

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Speaker 3: a certain picture and doesn't like another picture when it

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Speaker 3: comes to Instagram, or why a tweet gets a gazillion

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Speaker 3: retweets and not another tweet. So my question was always

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Speaker 3: like why are you seeing what you're seeing? And as

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Speaker 3: X got less and less good, I became more and

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Speaker 3: more obsessed with the idea of just at least getting

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Speaker 3: something out there right. And that's why I started posting

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Speaker 3: that kind of stuff on Instagram, not because I particularly think,

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Speaker 3: I mean, in my own personal life, I don't know

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Speaker 3: that text on Instagram does anything good for me, But

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Speaker 3: I became. So you know, one of the things that

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Speaker 3: I think has really not served me this election cycle

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Speaker 3: is that I truly believe everything I'm saying. So I

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Speaker 3: truly believe that Donald Trump is an existential threat to

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Speaker 3: American democracy and that if this election, you know, if

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Speaker 3: Trump gets re elected, that we are all going to

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Speaker 3: be living in a world that is hard to really fathom.

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Speaker 3: And so I have been you know, I actually really

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Speaker 3: really and again this is something you're sort of not

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Speaker 3: supposed to be as a journalist, but I am on

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Speaker 3: the opinion side. I genuinely am just anxious about getting

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Speaker 3: content out there so that people can see. And you know,

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Speaker 3: one of the great people who is often on Morning

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Speaker 3: Joe and sometimes with me is the guy who does

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Speaker 3: the charts this amazing Steve Ratner. Hello Steve Ratner, and

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Speaker 3: Steve Ratner just gets the information out there. And part

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Speaker 3: of me wonders, like, how much can we just try

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Speaker 3: to get the information in front of people? And so

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Speaker 3: that's why I started doing it, just out of sheer

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Speaker 3: anxiety that perhaps another person will see a bit of

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Speaker 3: news that will then galvanize them to vote.

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Speaker 1: And Evan, how did you become a pop culture chronicler

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Speaker 1: on social media and why were you drawn to that

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Speaker 1: just as Molly is trying to disseminate information because she's

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Speaker 1: in a constant state of anxiety. Yes, basically, but your

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Speaker 1: kind of obsession with the internet culture predates this election.

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Speaker 1: Tell us how you got sucked into it?

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Speaker 2: So similar to MOLLI like Twitter obviously is a very

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Speaker 2: different platform now it doesn't even have that name anymore,

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Speaker 2: but I still like to use Twitter to like extract information.

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Speaker 2: I still find it to be a valuable place to

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Speaker 2: learn about pop culture. I would also agree with Mollie

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Speaker 2: where I don't really trust the likes on Twitter anymore.

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Speaker 2: So even though Twitter will tell me this post has

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Speaker 2: gone viral, I'm not always so sure about that, and

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Speaker 2: I think it actually leads to about the dissemination of

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Speaker 2: in fact misinformation. But to answer your question, I think

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Speaker 2: for me in the beginning, it was very organic. There

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Speaker 2: were things that I was drawn to that I didn't

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Speaker 2: see people talking about enough, and I thought, you know,

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Speaker 2: at that time, I had a very small platform. But

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Speaker 2: for me, it was just about like wanting to recommend

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Speaker 2: things to my friends, wanting to get eyeballs, and things

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Speaker 2: that I found interesting. I also found that in this

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Speaker 2: media landscape where there is so much out there. I mean,

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Speaker 2: we're talking about politics today, but the Internet encompasses sports,

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Speaker 2: there's fashion, there's entertainment, there's there's so many conversations happening

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Speaker 2: on the Internet that I found the idea of distilling

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Speaker 2: it to be something that was really valuable for people.

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Speaker 2: And so I said earlier that I liked to think

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Speaker 2: I'm a pop culture chronicler, but I'm alsto trying my

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Speaker 2: best to distill the information that I think audiences should

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Speaker 2: be hearing about, because even in the entertainment landscape, there's

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Speaker 2: just so much content out there. So it's important for

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Speaker 2: some people to have that, you know, sort of shrunk

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Speaker 2: in as much as possible and shown to them in

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Speaker 2: fits and starts.

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Speaker 1: You weren't always focused on politics. In fact, you're kind

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Speaker 1: of late to the political arena, Evan. But I would

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Speaker 1: venture to say, Mollie and Evan, that this is the

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Speaker 1: first truly social media election. Yes, we had Donald Trump

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Speaker 1: tweeting wildly in twenty sixteen, and we've had obviously social

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Speaker 1: media gaining significant round. More people get their news from

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Speaker 1: digital devices than linear television now. But I feel like

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Speaker 1: the Kamala Harris team really gets it. Would you agree

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Speaker 1: with that? I mean, Kamala Harris has two hundred and

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Speaker 1: fifty people working on her digital team, and they're doing

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Speaker 1: a really phenomenal job. They have been on things almost

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Speaker 1: immediately we talk about, you know, the brat moment this summer,

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Speaker 1: we talked about, you know, the coconut tree stuff that

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Speaker 1: actually was used to her advantage. Mollie, when you look

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Speaker 1: at the whole political landscape, are you surprised at how

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Speaker 1: much social media has really taken over this campaign cycle?

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Speaker 3: No, and you're right about the team. They have done

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Speaker 3: amazing staff. I actually was there the other day doing

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Speaker 3: little interviews with them in Wilmington, which is not close

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Speaker 3: to anything. In case you're.

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Speaker 1: Wondering why are they I mean, I know that's where

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Speaker 1: Joe Biden is. Is that just where they set up

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Speaker 1: shops and they have moved to New York or Washington?

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Speaker 3: I think many of them have that same question. But

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Speaker 3: they all stayed in Wilmington, Delaware. So if you want

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Speaker 3: a sitcom.

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Speaker 1: That must have been fascinating.

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Speaker 3: I mean I was like, you, guys, what is it

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Speaker 3: like being some of them have been there for as

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Speaker 3: much as two years, a year and change, like a

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Speaker 3: year and two months. They said there's a lot of

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Speaker 3: hiking trails. It was a pretty it was pretty bleak. So, yes,

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Speaker 3: this is the first social media election. I would say

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Speaker 3: a thing that I think about a lot is that

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Speaker 3: tech companies, after or bankrupting local news, right after pretty

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Speaker 3: much taking apart our media ecosystem, have given up on

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Speaker 3: content moderation and you know, any kind of fact checking.

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Speaker 3: So now we sort of gave we gave over the keys,

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Speaker 3: and they have decided they're going to keyr Car. So

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Speaker 3: in my mind, I'm a little salty about that. I'm

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Speaker 3: going to be honest and a little bit mad at them.

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Speaker 3: And I don't quite understand there's so much disinformation. I mean,

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Speaker 3: Elon Musk has already said a million different ways, including

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Speaker 3: jumping up and down in Pennsylvania, that he is actively

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Speaker 3: working for Donald Trump.

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Speaker 1: So there's that, and that he's willing to spend one

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Speaker 1: hundred and forty million dollars to make sure that he's selected.

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Speaker 1: I just read that.

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Speaker 3: Yeah, I mean that for for Elon is a rounding error,

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Speaker 3: but you know, certainly he wants and I mean I

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Speaker 3: have to wonder how much of Elon's ambitions for Trump

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Speaker 3: have to do with AI and the future of AI

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Speaker 3: and not having any regulation there. I mean, one of

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Speaker 3: the ways in which the American government on the left

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Speaker 3: and the right has just completely fucked up beyond recognition

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Speaker 3: is they decided not to ever do any regulation when

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Speaker 3: it comes to technology or social media. So you have

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Speaker 3: CBS is not allowed to be owned by you know,

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Speaker 3: there are all sorts of rules for CBS, right, all

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Speaker 3: sorts of rules for NBC New York Times, and then

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Speaker 3: Twitter whatever, Instagram sure, largest social media platform owned by

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Speaker 3: the Chinese government.

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Speaker 2: Like, what are we doing?

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Speaker 1: Man?

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Speaker 3: What? I'm sorry, That's all I have to say.

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Speaker 1: What do you think, Evan about sort of the takeover

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Speaker 1: by social media of the political realm and just talk

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Speaker 1: about how you've seen this campaign on phone on your phone.

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Speaker 2: So I would push back at the idea of this

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Speaker 2: being like the first social media election. I do think

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Speaker 2: this took place in twenty sixteen as well. I think

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Speaker 2: the big difference would be the level of engagement from

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Speaker 2: the campaigns themselves, because I do think people were very

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Speaker 2: active on social media in twenty sixteen, and the candidates

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Speaker 2: were as well, But there was a different way in

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Speaker 2: which they were speaking to the platform at that time.

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Speaker 2: So that's a big difference.

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Speaker 1: Yeah, I guess. I mean that they've taken full advantage

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Speaker 1: of social media and almost it feels like to me,

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Speaker 1: as someone who's covered these elections for a while, it

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Speaker 1: feels like a social media first strategy in some ways.

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Speaker 1: And of course maybe that's because I don't watch that

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Speaker 1: much television and I'm on my phone and this is

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Speaker 1: where I'm getting the messaging.

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Speaker 2: But go on. Yeah, and I often feel like you

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Speaker 2: can watch television by going on social media because people

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Speaker 2: are clipping out the moments that you need to see.

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Speaker 2: So in essence, we are watching television even though we

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Speaker 2: aren't going to the platform itself. But what I see

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Speaker 2: is the big difference with something like Kamala HQ, for instance,

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Speaker 2: is that they're able to actually post clips of the

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Speaker 2: opposing party, like the opposing ticket, and make them look dumb.

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Speaker 2: And that is something that I think is unique. If

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Speaker 2: you go to Kamala Harris's Instagram page, you're not going

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Speaker 2: to see clips of Trump looking stupid in an interview,

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Speaker 2: but on Kamala HQ you will. There are some key moments,

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Speaker 2: for instance, jd Vance at the donut shop looking like

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Speaker 2: an idiot that is not going to be posted on

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Speaker 2: Kamala's account, that the HQ account can seize on that moment,

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Speaker 2: a moment that has so much virality potential and actually

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Speaker 2: use the Kamala HQ account to disseminate a video like

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Speaker 2: that that wouldn't have a home elsewhere. So there's an

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Speaker 2: own ability to being able to dunk on someone like

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Speaker 2: Trump that Kamala HQ has seized on. And interestingly, on

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Speaker 2: the inverse side, Trump does not have a form of

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Speaker 2: Trump HQ. So what that ended up being was the

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Speaker 2: attempt of that was sort of the original. There was

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Speaker 2: some account that that was the one that first put

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Speaker 2: out the Kamala coconut video up going viral. How was

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Speaker 2: their attempt to sort of create the Kamala HQ narrative

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Speaker 2: on their side, But it ends up backfiring and people

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Speaker 2: just ended up loving it. And then Kamala HQ came

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Speaker 2: grabbed that clip and said no, this is actually wonderful

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Speaker 2: and people bought that. So I feel like the Republican

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Speaker 2: Party has not been able to find the counterpoint to

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Speaker 2: Kamala HQ.

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Speaker 1: It's a really good point, av'd said that, I've seen

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Speaker 1: a lot of posts and a lot of videos making

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Speaker 1: fun or mocking Kamala Harris from the GOP side. I'm

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Speaker 1: not sure if they are as coordinated as Kamala HQ

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Speaker 1: or whatever, but I do see a lot of memes

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Speaker 1: and jokes made about Kamala Harris. Maybe it's just less centralized.

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Speaker 2: Yes, I think they're certainly out there. I think that,

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Speaker 2: you know, Internet parlance is its own language, and I

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Speaker 2: think within that language, Trump is just an easier target

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Speaker 2: because he's just more quotable for better for us, depending

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Speaker 2: on your perspective. But I also think in the time

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Speaker 2: that Kamala has been come the nominee her team, I

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Speaker 2: think at the advice of her team, she's become a

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Speaker 2: little bit more buttoned up in sort of, you know,

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Speaker 2: being more careful about offering up quotes like akin to

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Speaker 2: just thought out the coconut tree. So she has not

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Speaker 2: given us as much opportunity to you know, make her

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Speaker 2: go viral. I think even if you look at her

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Speaker 2: DNC speech, that was very carefully crafted it in my opinion,

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Speaker 2: so that it would you know, eliminate the possibility of

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Speaker 2: remarks of hers being turned into TikTok videos.

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Speaker 1: If you want to get smarter every morning with a

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Speaker 1: breakdown of the news and fascinating takes on health and

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Speaker 3: You think you just fell of a coconut tree?

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Speaker 1: Do you exist in the.

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Speaker 3: Context of all in which you live and what came

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Speaker 3: before you?

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Speaker 1: Let's talk about those TikTok videos, Molly. Obviously a lot

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Speaker 1: of people, particularly younger people, are getting their news and

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Speaker 1: information from TikTok and I know that again, Kamala Harris's

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Speaker 1: social media team is really exploiting that platform. Do you think, Molly,

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Speaker 1: that's going to translate into a lot of younger people

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Speaker 1: going to the polls? What do you think that will

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Speaker 1: do for the race come election day?

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Speaker 3: So that's the ten billion dollar question that we're all

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Speaker 3: sitting around wondering about because polls are so right.

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Speaker 1: Landline polling is not what it used to be.

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Speaker 3: I mean, does anyone here even have a landline? Do

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Speaker 3: you have a landline?

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Speaker 1: I don't.

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Speaker 2: Nope, I don't.

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Speaker 3: Either, So there we go. So landline polling is not

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Speaker 3: as useful an indicator as it once was from what

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Speaker 3: I understanding, Again, I'm not a big TikTok user, but

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Speaker 3: from what I understand, there's a lot Harris has a

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Speaker 3: lot of virality on TikTok with young people. The campaigns

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Speaker 3: I've talked to, when I've talked to a lot of

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Speaker 3: campaigns said that as she swapped over to her in July,

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Speaker 3: that the enthusiasm was enormous.

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Speaker 2: She raised a.

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Speaker 3: Billion dollars, right, and that was that's a lot of money,

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Speaker 3: and it's the most ever in three months. So I

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Speaker 3: think that. And then the voter registration is a first

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Speaker 3: time voter registration was spurred on by that people. You

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Speaker 3: had people, you know, singers and Taylor Swift. That was

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Speaker 3: who I was thinking of, actually, people like Taylor Swift.

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Speaker 3: And she she drove Gonzo numbers for voter registration. So again,

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Speaker 3: who knows, but it was all seemed like very good

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Speaker 3: indicators to me. The polls again are tight. The trajectory though,

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Speaker 3: has been largely good. She has opened the map in

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Speaker 3: states that were not in play under Joe Biden, like

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Speaker 3: North Carolina and Georgia, and there's a real feeling especially

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Speaker 3: in North Carolina with so one of the things that

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Speaker 3: has happened in North Carolina and Florida, Lessardston and Georgia.

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Speaker 3: Is that because of inflation, because of climate change. The

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Speaker 3: insurance has become crazy high in Florida and North Carolina

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Speaker 3: flood insurance in some places, they don't do it, government

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Speaker 3: has to do it. It's a gazillion dollars. And so

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Speaker 3: there is a sense that that is from climate change

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Speaker 3: and that perhaps voters will in fact that is a

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Speaker 3: part of inflation. That really could be, That could be

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Speaker 3: really a that could be very good for Harris.

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Speaker 1: Yeah, I'm motivating for Harris and Evan. What do you

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Speaker 1: think do you think that these social media clips and

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Speaker 1: various things that are being posted will have an impact?

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Speaker 1: You know, maybe Trump doesn't have Kamala HQ, but again,

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Speaker 1: I've seen a ton of pro Trump things and things

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Speaker 1: making fun of Kamala. As I said, less organized perhaps,

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Speaker 1: but certainly out there in a big way. What impact

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Speaker 1: do you think all of this is having on young voters.

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Speaker 2: Well, it's interesting you say that because recently Kamala was

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Speaker 2: on the cover of Vogue and I went to the

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Speaker 2: comment section of Vogue's Instagram account and it is just

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Speaker 2: a ton of pro Trump, pro vance rhetoric on there,

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Speaker 2: which is a great example to your point of the

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Speaker 2: fact that like there, despite the fact that you have

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Speaker 2: accounts like Kamala HQ, there is a ton of support

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Speaker 2: for Trump on social media. You I think it has impact.

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Speaker 2: I mean that is the million dollar question. I think

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Speaker 2: that it doctrinates hope and as evidence in Kamala's messaging

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Speaker 2: and during Barack Obama's campaign years ago, you really can't

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Speaker 2: undervalue hope, right. I think to dismiss the idea that

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Speaker 2: hope is a powerful weapon is, you know, a misguided

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Speaker 2: sort of attempt. But is it going to make a

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Speaker 2: significant change. Who's to say. But I have to believe

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Speaker 2: it can. And so I think I lean on that

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Speaker 2: hope to sort of be the driving force that it's

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Speaker 2: posting things like memes or viral clips, gets people talking,

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Speaker 2: and I like to believe I am choosing to believe

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Speaker 2: that that conversation is going to whether it be an

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Speaker 2: uncommitted voter or whether it be a first time voter,

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Speaker 2: or whether it be a former Trumper who's on the

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Speaker 2: fence about voting your him, I choose to believe that

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Speaker 2: it makes a difference.

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Speaker 1: How many of those comments you'd think are bots.

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Speaker 2: You know.

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Speaker 1: I always try to look and I look at the profile,

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Speaker 1: and oftentimes they have zero followers and they're following a

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Speaker 1: few people, and it's really hard to determine. My team

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Speaker 1: will always is saying, especially if people say nasty things

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Speaker 1: to me, Oh those are bots?

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Speaker 2: Are they? That's a great question. I to click on

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Speaker 2: the profiles themselves. I think it's hard to really know,

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Speaker 2: That's the thing. But if you're simply going, let's say

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Speaker 2: they are bots, right, let's say one hundred percent of

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Speaker 2: them are bots. If you're someone like me and you're

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Speaker 2: going in the comment section and all you're seeing is Trump, Trump, Trump,

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Speaker 2: TROMP Trump and you don't know that they're or even

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Speaker 2: if you do, Liller Box, it's still in that moment

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Speaker 2: is like, wow, where is the Kamala support? You know,

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Speaker 2: I couldn't help that be my takeaway from the Vogue

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Speaker 2: comment section. So again, even if they are bots, it's

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Speaker 2: effective in the fact that it leaves you thinking I

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Speaker 2: left the comment section of Vogue being like, Wow, I'm

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Speaker 2: not feeling great about this, you know, So I think that, Yeah,

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Speaker 2: I still think it's powerful even if it is Box Sadly.

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Speaker 1: Yeah, I think you and I are probably some of

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Speaker 1: the few people who read comments on Instagram, but I'm

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Speaker 1: fascinated by them, and I read them on other people's

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Speaker 1: account because I want to hear what people are saying

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Speaker 1: and what they are thinking. But I'm curious what you

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Speaker 1: both think about Kamala's choices Harris's choices. Someone said you

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Speaker 1: shouldn't be Kamala versus Trump, you should be Harris versus Trump.

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Speaker 1: That it's gendered to say Kamala. But what do you

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Speaker 1: think of Vice President Harris's choices? In terms of media interviews,

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Speaker 1: she was getting a lot of blowback for not doing

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Speaker 1: interviews and now she is. But the interviews she's doing

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Speaker 1: are not mainstream anchors. You know, it's now Lesterhole, David Muir,

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Speaker 1: nomra O'Donnell. Yes, she did sixty minutes, and we'll talk

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Speaker 1: about that in a moment, but that was really and

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Speaker 1: the view I think, which has become sort of appointment

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Speaker 1: viewing for anybody for appointment, I guess, an appointment of appearance.

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Speaker 1: What would that be for anybody running for office? But

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Speaker 1: you know, the call her Daddy with Alex Cooper, who's

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Speaker 1: got millions, especially young women listening to her podcast Howard Stern.

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Speaker 1: That wasn't that surprising? And our team was talking about

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Speaker 1: the fact that Hillary Clinton said she regretted not doing

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Speaker 1: Howard Stern before twenty sixteen, and then she's done a

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Speaker 1: lot of other podcasts, some local media, et cetera, et cetera.

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Speaker 1: What do you think of that and what do you

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Speaker 1: think it says about the media today, Molly. I mean,

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Speaker 1: if I were a network anchor, I'd be pulling my

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Speaker 1: hair out and going a little crazy.

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Speaker 3: And in fact they are, well, look, you know it's

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Speaker 3: my siloed media, right, and you want to meet the

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Speaker 3: voters where they are, and they happen to be at

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Speaker 3: call her daddy, right. Five million, up to ten million women,

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Speaker 3: a lot of independence, a lot of Republicans. Those are

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Speaker 3: people who are not watching CBS News, right. Those are

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Speaker 3: people who are not They're not There's no world in

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Speaker 3: which they are going to be turning on the tvn

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Speaker 3: I think that is really what she's doing. And she's

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Speaker 3: trying to go to where the voters are. Now do

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Speaker 3: I think they should go? I think they should do

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Speaker 3: more of that, right, I think they should go if

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Speaker 3: they want to win, like go on theovon right. Tell

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Speaker 3: me if you think that's crazy, Evan, but go on

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Speaker 3: theo Von. This is the guy who I just recently

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Speaker 3: learned about who has a very insane mullet.

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Speaker 1: Other than his mullet, tell me more.

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Speaker 3: I think you got to go to Evan on this.

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Speaker 2: No, I'll be honest with you. I had never heard

434
00:23:56,880 --> 00:23:58,600
Speaker 2: of him until this interview, so I think it did

435
00:23:58,640 --> 00:24:01,840
Speaker 2: a great service for people like me. I'm a pop

436
00:24:01,840 --> 00:24:04,760
Speaker 2: culture chronic layer, but he's not right on my radar whatsoever,

437
00:24:04,800 --> 00:24:06,480
Speaker 2: and now he is as a result of this, So

438
00:24:06,520 --> 00:24:09,560
Speaker 2: it was a very mutually beneficial interview for both of them.

439
00:24:09,600 --> 00:24:11,119
Speaker 2: And to your point, Katie, I think there are a

440
00:24:11,119 --> 00:24:13,600
Speaker 2: lot of people who had never uttered the phrase call

441
00:24:13,680 --> 00:24:17,240
Speaker 2: her daddy until this appearance. So it ends up benefiting

442
00:24:17,280 --> 00:24:20,160
Speaker 2: this new media ecosystem because there are lots of people

443
00:24:20,200 --> 00:24:21,960
Speaker 2: that are going to say, I enjoyed this interview that

444
00:24:22,000 --> 00:24:24,280
Speaker 2: Alex Cooper did with Kamala. I'm going to listen to

445
00:24:24,359 --> 00:24:26,640
Speaker 2: more call her Daddy, whether or not the audience will

446
00:24:26,640 --> 00:24:29,159
Speaker 2: be satiated by what they hear. Hard to say, but

447
00:24:29,240 --> 00:24:32,359
Speaker 2: like this is a backscratching on both sides. And also

448
00:24:32,480 --> 00:24:35,000
Speaker 2: the numbers are there. I mean That's the other thing

449
00:24:35,160 --> 00:24:38,560
Speaker 2: is like these are they're there, Like the people who

450
00:24:38,720 --> 00:24:43,720
Speaker 2: listen to Joe Rogan do not listen to any other

451
00:24:44,040 --> 00:24:46,200
Speaker 2: mainstream news. I mean that may not be.

452
00:24:46,560 --> 00:24:49,720
Speaker 3: Completely true, but I think a lot of them he

453
00:24:49,960 --> 00:24:51,320
Speaker 3: is their trusted messenger.

454
00:24:51,880 --> 00:24:54,160
Speaker 1: Well why wouldn't Tim You know, I had this conversation

455
00:24:54,240 --> 00:24:56,320
Speaker 1: with Ezra Kline a couple of weeks ago, you guys,

456
00:24:56,359 --> 00:25:00,760
Speaker 1: and I'm curious, why wouldn't Tim Walls go on Joe Rogan?

457
00:25:01,040 --> 00:25:04,880
Speaker 1: Why wouldn't he go on all these sports radio podcasts

458
00:25:04,920 --> 00:25:10,280
Speaker 1: and newscasts or whatever to appeal to more male voters,

459
00:25:10,400 --> 00:25:13,639
Speaker 1: because they are having a nand problem of particularly a

460
00:25:13,680 --> 00:25:17,480
Speaker 1: young man problem, particularly young men of color problem.

461
00:25:18,160 --> 00:25:22,880
Speaker 3: Today, I texted Tim Walls and said, you should go

462
00:25:23,680 --> 00:25:28,000
Speaker 3: on Joe Rogan. I literally did. I was like, you

463
00:25:28,040 --> 00:25:31,200
Speaker 3: should go on Joe Rogan, go on Joe Rogan, go on.

464
00:25:31,280 --> 00:25:32,359
Speaker 1: And did he text you back?

465
00:25:32,800 --> 00:25:36,639
Speaker 3: Yes, And I said, let Walls be Walls, and he

466
00:25:36,840 --> 00:25:40,520
Speaker 3: said that maybe that's some of the problems, but yeah,

467
00:25:40,560 --> 00:25:41,960
Speaker 3: I mean I think they're doing that.

468
00:25:42,080 --> 00:25:44,480
Speaker 1: He was just on, wait, Molly, you have a texting

469
00:25:44,520 --> 00:25:46,040
Speaker 1: relationship with Tim Walls.

470
00:25:46,200 --> 00:25:50,280
Speaker 3: Us. I interviewed him and I was like, you guys,

471
00:25:50,359 --> 00:25:51,200
Speaker 3: this guy's good.

472
00:25:51,480 --> 00:25:51,720
Speaker 1: Now.

473
00:25:51,800 --> 00:25:55,840
Speaker 3: Of course, by the way, if she loses Pennsylvania, I

474
00:25:55,880 --> 00:25:59,760
Speaker 3: will have been completely wrong. So I'm trying not you know,

475
00:25:59,880 --> 00:26:04,679
Speaker 3: because if if she if Shapiro would have meant winning Pennsylvania.

476
00:26:04,280 --> 00:26:06,359
Speaker 2: Who knows. But uh, yeah, no.

477
00:26:06,520 --> 00:26:09,040
Speaker 3: I interviewed him and thought, this guy he was the door,

478
00:26:09,160 --> 00:26:13,359
Speaker 3: he's the uh, he's the was the head of the governors,

479
00:26:13,400 --> 00:26:16,960
Speaker 3: the Democratic Governors Association. So I'd interviewed him before, and

480
00:26:17,119 --> 00:26:20,040
Speaker 3: he was famous for having passed a lot of progressive legislation,

481
00:26:20,200 --> 00:26:23,960
Speaker 3: not so different than Pennsylvania, but free school lunches, free

482
00:26:23,960 --> 00:26:27,359
Speaker 3: school breakfasts, a lot of stuff for kids that was

483
00:26:27,520 --> 00:26:31,360
Speaker 3: very exciting to me. And so when I interviewed him,

484
00:26:31,359 --> 00:26:33,800
Speaker 3: I thought he was a folksy guy who would be

485
00:26:33,880 --> 00:26:34,720
Speaker 3: really good for this.

486
00:26:35,560 --> 00:26:38,880
Speaker 1: Why do you think, Evan, that Tim Walls isn't sort

487
00:26:38,880 --> 00:26:41,840
Speaker 1: of everywhere? Do you think they're nervous to let Tim

488
00:26:41,920 --> 00:26:42,760
Speaker 1: be Tim?

489
00:26:43,280 --> 00:26:45,760
Speaker 2: I mean I would be to an extent in that.

490
00:26:46,520 --> 00:26:48,040
Speaker 2: So for me, if you would have asked me this

491
00:26:48,160 --> 00:26:51,000
Speaker 2: question before the VP debate, I would have been, like,

492
00:26:51,160 --> 00:26:54,640
Speaker 2: sent him anywhere he can be. He's a huge important

493
00:26:54,640 --> 00:26:57,000
Speaker 2: figure for us to, you know, as someone to go

494
00:26:57,040 --> 00:26:59,199
Speaker 2: out there and disseminate the messages of Kamala Harris. But

495
00:26:59,240 --> 00:27:02,800
Speaker 2: I think after that debate performance and the stumbling nature

496
00:27:02,840 --> 00:27:05,240
Speaker 2: of it, I would be nervous in a situation like

497
00:27:05,320 --> 00:27:07,800
Speaker 2: Joe Rogan, who Joe Rogan is an interviewer who has

498
00:27:07,840 --> 00:27:10,080
Speaker 2: an agenda despite the fact that he might not say

499
00:27:10,080 --> 00:27:11,919
Speaker 2: as such, and there are going to be some gotcha

500
00:27:12,000 --> 00:27:14,520
Speaker 2: questions in there. And I think if Walls proved anything

501
00:27:14,520 --> 00:27:16,880
Speaker 2: in that VP debate, despite the fact that he got

502
00:27:17,000 --> 00:27:20,399
Speaker 2: very lucky by having an eleventh hour Hail Mary, I

503
00:27:20,480 --> 00:27:23,320
Speaker 2: think that there are possibilities of him being walked into

504
00:27:23,400 --> 00:27:26,080
Speaker 2: giving answers that are going to go against the ticket

505
00:27:26,320 --> 00:27:30,040
Speaker 2: and potentially become viral talking points that work against Kabala.

506
00:27:30,160 --> 00:27:33,359
Speaker 2: So while I do think he should go on Joe Rogan,

507
00:27:33,400 --> 00:27:35,600
Speaker 2: I understand the weariness from the campaign.

508
00:27:36,200 --> 00:27:38,639
Speaker 1: What do you think, Molly, I mean, you know Tim Walls.

509
00:27:38,680 --> 00:27:42,679
Speaker 1: Are you surprised that he kind of whiffed on a

510
00:27:42,720 --> 00:27:46,359
Speaker 1: couple of questions during the debate? Seemed very nervous, the

511
00:27:46,400 --> 00:27:50,760
Speaker 1: weird Tiananmen square thing, I'm a knucklehead. Did you expect

512
00:27:50,840 --> 00:27:53,920
Speaker 1: him to be a little more sophisticated in those debates?

513
00:27:53,960 --> 00:27:57,240
Speaker 1: And can you think that lack of slickness, if you will,

514
00:27:57,640 --> 00:27:59,600
Speaker 1: may actually help him with voters.

515
00:28:00,320 --> 00:28:03,920
Speaker 3: Well that's that's the twenty four million dollar question, right

516
00:28:03,960 --> 00:28:07,760
Speaker 3: is does that actually maybe help him? And again who

517
00:28:07,800 --> 00:28:10,600
Speaker 3: it's the great unknown. I did see him today talking

518
00:28:10,680 --> 00:28:14,280
Speaker 3: about football with Michael Strahan, so more of that is good.

519
00:28:14,359 --> 00:28:16,600
Speaker 3: And they are having him go to football games, which

520
00:28:16,640 --> 00:28:21,240
Speaker 3: is great because he is a football coach. He was nervous.

521
00:28:21,359 --> 00:28:23,600
Speaker 3: I think that some of what happened there was bad

522
00:28:23,680 --> 00:28:28,199
Speaker 3: debate prep, right, because he had all this information and

523
00:28:28,240 --> 00:28:32,240
Speaker 3: he only needed to just be authentic and not I mean,

524
00:28:33,680 --> 00:28:36,120
Speaker 3: let me just say one thing though, which was they

525
00:28:36,200 --> 00:28:39,000
Speaker 3: decided not to fact check, which meant that it was

526
00:28:39,040 --> 00:28:43,680
Speaker 3: on him to fact check. And Jade Vance is very

527
00:28:43,720 --> 00:28:47,760
Speaker 3: smooth and is a very good talker and does a

528
00:28:47,840 --> 00:28:51,440
Speaker 3: lot of media and is you know, can disseminate information

529
00:28:51,640 --> 00:28:55,560
Speaker 3: very very quickly. And I think that that got his backup.

530
00:28:55,880 --> 00:28:59,239
Speaker 3: Look with the tenement square answer, he should have just

531
00:28:59,280 --> 00:29:02,920
Speaker 3: said yeah is wrong and let it go like there

532
00:29:03,000 --> 00:29:05,280
Speaker 3: was some stuff just because he's so new at this.

533
00:29:05,520 --> 00:29:09,360
Speaker 1: I misspoke and I didn't mean to, and that was

534
00:29:09,400 --> 00:29:12,280
Speaker 1: a mistake. Like move on, I agree, less would have

535
00:29:12,320 --> 00:29:12,960
Speaker 1: been more.

536
00:29:13,120 --> 00:29:15,040
Speaker 3: And he is. But you have to remember this is

537
00:29:15,080 --> 00:29:17,400
Speaker 3: a guy who didn't know how to read a prompt.

538
00:29:17,720 --> 00:29:19,800
Speaker 3: They had to teach him how to read the prompter.

539
00:29:20,320 --> 00:29:24,120
Speaker 3: So like this is legit. He was a backbencher in Congress,

540
00:29:24,200 --> 00:29:27,600
Speaker 3: and then he was a governor of a state that's

541
00:29:27,960 --> 00:29:31,000
Speaker 3: not so much on anyone's radar. I mean, we love Minnesota,

542
00:29:31,080 --> 00:29:34,720
Speaker 3: don't get me wrong, but you know it's not California.

543
00:29:34,800 --> 00:29:38,320
Speaker 3: So he did. He came from really where his vans

544
00:29:38,360 --> 00:29:40,520
Speaker 3: had done it pressed to, he had written books, had

545
00:29:40,520 --> 00:29:42,000
Speaker 3: been the darling of the.

546
00:29:42,440 --> 00:29:46,120
Speaker 1: You know, I'd done so many interviews that certainly had

547
00:29:46,160 --> 00:29:49,880
Speaker 1: a very different persona there during the debate. You know,

548
00:29:50,000 --> 00:29:54,959
Speaker 1: he was very pugnacious and difficult for people to interview,

549
00:29:55,120 --> 00:29:57,920
Speaker 1: and you know, would throw things back at them. It

550
00:29:58,000 --> 00:30:01,720
Speaker 1: was very tricky interviews situation. I thought Dana Bash did

551
00:30:01,720 --> 00:30:04,480
Speaker 1: a good job because I was like, good Lord, I

552
00:30:04,560 --> 00:30:07,880
Speaker 1: would be I would need some depends or something if

553
00:30:07,920 --> 00:30:09,960
Speaker 1: I can.

554
00:30:09,880 --> 00:30:12,200
Speaker 2: I add though, just like what I've been most surprised

555
00:30:12,240 --> 00:30:15,600
Speaker 2: with in the past few weeks has been the lack

556
00:30:15,640 --> 00:30:17,600
Speaker 2: of presence from a lot of the surrogates who really

557
00:30:17,640 --> 00:30:21,160
Speaker 2: stood out at the DNC. So thinking about AOC, thinking

558
00:30:21,160 --> 00:30:23,880
Speaker 2: about Pete Budha Judge, thinking about Jasmine Crockett. There were

559
00:30:23,920 --> 00:30:26,600
Speaker 2: so many huge, clippable moments that came out of the

560
00:30:26,680 --> 00:30:29,800
Speaker 2: DNC that I think really excited not only the base

561
00:30:29,920 --> 00:30:32,560
Speaker 2: but people that had kind of soured on the Democratic Party,

562
00:30:32,920 --> 00:30:35,120
Speaker 2: and I thought there was an opportunity to seize on

563
00:30:35,160 --> 00:30:37,920
Speaker 2: that momentum that was formed at the debate. And I've

564
00:30:37,960 --> 00:30:40,240
Speaker 2: just been really surprised, I mean, especially with Pete, like

565
00:30:40,240 --> 00:30:43,120
Speaker 2: where has Pete been recently? And I know that's probably

566
00:30:43,120 --> 00:30:45,520
Speaker 2: no choice of Pete's, but so yes, I think it's

567
00:30:45,520 --> 00:30:47,440
Speaker 2: important to have walls out there, but I actually am

568
00:30:47,480 --> 00:30:50,280
Speaker 2: sort of disappointed in the lack of other surrogates coming

569
00:30:50,320 --> 00:30:51,960
Speaker 2: out and doing things like I'd love to see Pete

570
00:30:52,000 --> 00:30:53,440
Speaker 2: Buddha Judge on Joe Rogan.

571
00:30:53,440 --> 00:30:54,280
Speaker 3: Right, I would too.

572
00:31:17,960 --> 00:31:20,960
Speaker 1: You know that's interesting because I just interviewed James Carville

573
00:31:20,960 --> 00:31:24,800
Speaker 1: about his documentary and about some other things, and actually

574
00:31:24,960 --> 00:31:27,400
Speaker 1: at a Google conference as well, and he was just

575
00:31:27,520 --> 00:31:29,920
Speaker 1: hop and mad about the fact that they have not

576
00:31:30,360 --> 00:31:33,400
Speaker 1: And just actually this week we saw Obama give a

577
00:31:33,440 --> 00:31:37,560
Speaker 1: speech in Pittsburgh and talk to campaign headquarters, and he

578
00:31:37,640 --> 00:31:40,880
Speaker 1: said Bill Clinton should be making himself available to local

579
00:31:40,920 --> 00:31:43,760
Speaker 1: stations in every swing state in the country. Who's going

580
00:31:43,840 --> 00:31:46,719
Speaker 1: to turn down an interview with Bill Clinton? Who's going

581
00:31:46,760 --> 00:31:50,640
Speaker 1: to turn down an interview with Barack or Michelle Obama

582
00:31:50,760 --> 00:31:54,360
Speaker 1: or anybody? And it does seem like they haven't. According

583
00:31:54,400 --> 00:31:57,600
Speaker 1: to James, he was criticizing them for simply not being

584
00:31:57,640 --> 00:31:59,960
Speaker 1: aggressive enough. What do you think of that assessment moment?

585
00:32:01,120 --> 00:32:03,920
Speaker 3: So, I know Bill Clinton is doing a Southern States tour,

586
00:32:04,280 --> 00:32:07,000
Speaker 3: so that is coming up, So that is definitely happening.

587
00:32:07,200 --> 00:32:08,520
Speaker 1: But I mean, what took so long?

588
00:32:08,600 --> 00:32:12,560
Speaker 3: Molli, Well again, yes, I agree, and I actually was

589
00:32:12,600 --> 00:32:15,520
Speaker 3: talking to some Yes, agreed.

590
00:32:15,680 --> 00:32:17,640
Speaker 1: Oh, go ahead, give us some tea, Mollie.

591
00:32:17,880 --> 00:32:21,200
Speaker 3: Okay. The one thing I would say first a Mayor Pete.

592
00:32:21,360 --> 00:32:24,360
Speaker 3: Mayor Pete did in fact do something very cool. So

593
00:32:24,640 --> 00:32:29,520
Speaker 3: Elon Musk was talking about how he was having trouble

594
00:32:29,840 --> 00:32:33,760
Speaker 3: getting into North Carolina and a lot of the lies

595
00:32:34,280 --> 00:32:40,280
Speaker 3: about the federal government, and Mayor Pete called Elon and

596
00:32:40,360 --> 00:32:43,320
Speaker 3: explained to him about what was happening with the airspace

597
00:32:44,040 --> 00:32:48,760
Speaker 3: and Elon was like, oh that makes sense, So good

598
00:32:48,800 --> 00:32:55,280
Speaker 3: on Mayor Pete. For I mean, look, Elon is really problematic,

599
00:32:55,560 --> 00:32:57,640
Speaker 3: but he is the richest man in the world, and

600
00:32:57,680 --> 00:32:58,960
Speaker 3: he does control.

601
00:32:58,680 --> 00:33:01,720
Speaker 1: He has so much influence. How many followers does.

602
00:33:01,520 --> 00:33:03,960
Speaker 2: He have on X you guys, well, it's hard to

603
00:33:03,960 --> 00:33:05,760
Speaker 2: know if that follower count is real, but.

604
00:33:05,760 --> 00:33:10,040
Speaker 3: He controls forty or to sixty percent of all the satellites.

605
00:33:10,240 --> 00:33:10,880
Speaker 2: That's real.

606
00:33:11,080 --> 00:33:13,480
Speaker 3: I mean that's a big fucking deal. Like that guy,

607
00:33:13,680 --> 00:33:17,479
Speaker 3: you know, communication, and I mean he can so I

608
00:33:17,560 --> 00:33:20,320
Speaker 3: do think that was a really cool thing. But yes,

609
00:33:20,400 --> 00:33:23,959
Speaker 3: they should and Mayor Pete and Tim Walls. Tim was

610
00:33:24,120 --> 00:33:26,560
Speaker 3: on Fox News last week on the Sunday Show.

611
00:33:26,960 --> 00:33:27,840
Speaker 1: Write more of that.

612
00:33:28,040 --> 00:33:30,720
Speaker 3: Put them on Fox. I mean, put them on everything.

613
00:33:30,720 --> 00:33:33,480
Speaker 3: You can get them on, right, put everyone on everything.

614
00:33:33,560 --> 00:33:36,120
Speaker 1: Pete is brilliant on Fox, by the way. I mean,

615
00:33:36,120 --> 00:33:39,080
Speaker 1: I think he leaves the anchors kind of speechless when

616
00:33:39,080 --> 00:33:43,360
Speaker 1: he makes points, and it's actually very interesting to watch

617
00:33:43,400 --> 00:33:45,920
Speaker 1: the dynamics of that. I wanted to ask you about

618
00:33:45,920 --> 00:33:49,240
Speaker 1: the line by the Trump campaign because Molly he wrote

619
00:33:49,280 --> 00:33:54,240
Speaker 1: a piece about that, and I think it was particularly evident,

620
00:33:54,480 --> 00:33:57,440
Speaker 1: perhaps because it was in a concentrated period of time

621
00:33:58,280 --> 00:34:02,760
Speaker 1: during Hurricane Helene and the aftermath. Not to mention, obviously,

622
00:34:02,920 --> 00:34:06,200
Speaker 1: what was going on in Springfield, Ohio with Haitian immigrants.

623
00:34:06,640 --> 00:34:09,799
Speaker 1: Why do people care? Why do his supporters not care,

624
00:34:10,200 --> 00:34:13,920
Speaker 1: or do they not believe he is lying? It's hard

625
00:34:13,960 --> 00:34:18,440
Speaker 1: to fathom that nothing, absolutely nothing seems to be moving

626
00:34:18,560 --> 00:34:21,640
Speaker 1: the needle. There doesn't seem to be any respect for

627
00:34:21,680 --> 00:34:22,640
Speaker 1: the truth anymore.

628
00:34:23,280 --> 00:34:25,640
Speaker 3: The thing that I'm struck by is that there was

629
00:34:25,680 --> 00:34:29,719
Speaker 3: so much gentility at one point, right we had you

630
00:34:29,760 --> 00:34:33,480
Speaker 3: would have people like John McCain who would say, you know,

631
00:34:33,600 --> 00:34:35,480
Speaker 3: he's not a Muslim, right.

632
00:34:35,360 --> 00:34:38,240
Speaker 1: Is stopping a woman in the crowd who was criticizing

633
00:34:38,280 --> 00:34:41,279
Speaker 1: that is such an incredible piece of video. Evan, I

634
00:34:41,320 --> 00:34:43,600
Speaker 1: don't know if you've seen that. You should watch John

635
00:34:43,680 --> 00:34:49,200
Speaker 1: McCain chastising gently a woman in a campaign crowd for

636
00:34:49,400 --> 00:34:52,839
Speaker 1: yelling that Barack Obama is a Muslim. He said, he's

637
00:34:52,880 --> 00:34:55,720
Speaker 1: a fine American. You just would never see that. Today,

638
00:34:57,640 --> 00:34:58,400
Speaker 1: I got to ask.

639
00:34:58,239 --> 00:35:01,840
Speaker 3: You a question. I do not believe in. I can't

640
00:35:01,880 --> 00:35:02,840
Speaker 3: trust Obama.

641
00:35:03,560 --> 00:35:06,560
Speaker 2: I have read about him, and he's not He's not

642
00:35:06,760 --> 00:35:14,080
Speaker 2: he's a he's an Arab. He is not no no,

643
00:35:13,600 --> 00:35:15,080
Speaker 2: no man, no man.

644
00:35:15,200 --> 00:35:19,040
Speaker 1: He's a He's a He's a decent family man, citizen

645
00:35:19,160 --> 00:35:23,239
Speaker 1: that I just happen to have disagreements with on fundamental

646
00:35:23,280 --> 00:35:25,480
Speaker 1: issues and that's what this campaign is all about.

647
00:35:25,680 --> 00:35:30,359
Speaker 3: He's not thank you, thank you. Yes, you would never

648
00:35:30,400 --> 00:35:32,400
Speaker 3: see it from Trump and his people, Right, it's the

649
00:35:32,480 --> 00:35:36,759
Speaker 3: opposite of MAGA. If MAGA loses, I could see a

650
00:35:36,840 --> 00:35:39,439
Speaker 3: world where these people start saying, you know, I never

651
00:35:39,560 --> 00:35:43,000
Speaker 3: supported it. I was a McCain person. I mean, you know,

652
00:35:43,840 --> 00:35:47,920
Speaker 3: success has a thousand fathers, failure none. Right, So I

653
00:35:47,960 --> 00:35:51,160
Speaker 3: do think that that if that happens, which again is

654
00:35:51,200 --> 00:35:54,160
Speaker 3: not a feed of compley, I think that. Yeah. The

655
00:35:55,080 --> 00:35:57,239
Speaker 3: part of it is that they trust Trump more than

656
00:35:57,280 --> 00:36:01,080
Speaker 3: they trust other things, including their friends and family, and

657
00:36:01,400 --> 00:36:05,320
Speaker 3: so Trump can say something is true, and even if

658
00:36:05,560 --> 00:36:08,839
Speaker 3: it's not true, they will still believe it to be true,

659
00:36:08,920 --> 00:36:12,160
Speaker 3: or they will believe it to be close enough that

660
00:36:12,320 --> 00:36:16,520
Speaker 3: they will follow it. I mean, the answer is to

661
00:36:16,600 --> 00:36:19,759
Speaker 3: have more content modernation. Right, if they didn't see on

662
00:36:19,800 --> 00:36:22,920
Speaker 3: Facebook things that weren't true, if they didn't see on

663
00:36:23,360 --> 00:36:26,360
Speaker 3: X or on TikTok, if they saw stuff where it

664
00:36:26,400 --> 00:36:28,319
Speaker 3: said you know. I mean one of the good things

665
00:36:28,320 --> 00:36:30,640
Speaker 3: about X is they have community notes, so you can

666
00:36:30,680 --> 00:36:34,200
Speaker 3: see when Marjorie Taylor Green says they can control the weather,

667
00:36:34,320 --> 00:36:36,560
Speaker 3: it has fifteen community notes on it.

668
00:36:37,400 --> 00:36:40,799
Speaker 1: I don't think it's the media's fault. But no, certainly not.

669
00:36:41,120 --> 00:36:45,960
Speaker 1: But this bifurcation of the media, this absolute destruction of

670
00:36:46,040 --> 00:36:51,239
Speaker 1: traditional media with any gatekeepers, any kind of editing, any

671
00:36:51,320 --> 00:36:56,319
Speaker 1: kind of you know, fact checking, has really just as

672
00:36:56,440 --> 00:36:58,960
Speaker 1: my father in law says, lifted the lid off the

673
00:36:59,040 --> 00:37:04,400
Speaker 1: sewer and completely allowed anyone to say whatever they want.

674
00:37:04,520 --> 00:37:07,480
Speaker 1: And then I think it becomes very tribal and people

675
00:37:07,760 --> 00:37:09,840
Speaker 1: just listen to what they want to listen to that

676
00:37:09,960 --> 00:37:15,040
Speaker 1: confirms their point of view. So I don't know how

677
00:37:15,040 --> 00:37:18,680
Speaker 1: to fix this. Is there any way you say content moderation?

678
00:37:18,960 --> 00:37:20,920
Speaker 1: I mean, is the genie out of the bottle in

679
00:37:20,960 --> 00:37:21,359
Speaker 1: your view?

680
00:37:21,400 --> 00:37:26,359
Speaker 2: Evan hmmm, yes. But I also feel like, so it's

681
00:37:26,400 --> 00:37:28,640
Speaker 2: a different ballgame that has to be played now, but

682
00:37:28,719 --> 00:37:30,399
Speaker 2: we have to be willing to still play the game.

683
00:37:30,640 --> 00:37:33,799
Speaker 2: So I think, though I don't have the solution necessarily,

684
00:37:33,960 --> 00:37:36,719
Speaker 2: I think that we have to stay activated and say

685
00:37:36,719 --> 00:37:38,919
Speaker 2: motivated and find ways to say yes if we don't

686
00:37:38,920 --> 00:37:41,799
Speaker 2: have content moderation, for instance, if we have you know,

687
00:37:43,080 --> 00:37:46,440
Speaker 2: whatever Elon Musk is running sites like Twitter, how can

688
00:37:46,480 --> 00:37:48,960
Speaker 2: we take the how can we find and take the

689
00:37:49,000 --> 00:37:51,880
Speaker 2: best from it? Because as I said earlier, I'm still

690
00:37:52,040 --> 00:37:55,480
Speaker 2: extracting information from Twitter. I still find it very valuable.

691
00:37:55,600 --> 00:37:58,879
Speaker 2: There are still reputable news organizations on Twitter putting out

692
00:37:58,880 --> 00:38:01,640
Speaker 2: reputable news. So it's not as though these places are

693
00:38:01,880 --> 00:38:05,200
Speaker 2: entirely sewers. You know, there's things to be found from them.

694
00:38:05,400 --> 00:38:08,920
Speaker 2: What we need is people that are able to find

695
00:38:08,960 --> 00:38:12,480
Speaker 2: the best aspects of these and extract them and disseminate

696
00:38:12,520 --> 00:38:14,680
Speaker 2: them to an audience willing to hear them. But again, too,

697
00:38:15,360 --> 00:38:17,439
Speaker 2: you don't want to get into this situation where you're

698
00:38:17,480 --> 00:38:20,160
Speaker 2: speaking into echo chambers. Right the most important voters right

699
00:38:20,160 --> 00:38:23,520
Speaker 2: now are the undecided, are the ones who have valuable opinions,

700
00:38:23,560 --> 00:38:25,440
Speaker 2: And so I think part of the worry that I have,

701
00:38:25,840 --> 00:38:28,520
Speaker 2: even with a platform like mine, is that I'm speaking

702
00:38:28,560 --> 00:38:30,520
Speaker 2: to the people who already have their minds made up.

703
00:38:30,520 --> 00:38:33,040
Speaker 2: So I think there needs to be more willingness from

704
00:38:33,080 --> 00:38:36,239
Speaker 2: people to dignify those undecided voters. But I see a

705
00:38:36,280 --> 00:38:39,160
Speaker 2: lot of right now from people that I follow, is

706
00:38:39,280 --> 00:38:42,040
Speaker 2: shitting on undecided voters and being like these idiots, How

707
00:38:42,080 --> 00:38:44,719
Speaker 2: could you not be convinced with everything that we've seen

708
00:38:45,040 --> 00:38:48,200
Speaker 2: that Kama is the right candidate. And while I understand

709
00:38:48,200 --> 00:38:51,360
Speaker 2: that mentality, that is not a helpful mentality and indoctrinating

710
00:38:51,440 --> 00:38:54,040
Speaker 2: these undecided voters to make a decision. And so I

711
00:38:54,080 --> 00:38:57,160
Speaker 2: think we need to be more respectful on social media

712
00:38:57,200 --> 00:38:59,960
Speaker 2: of those who are still weighing their options and say,

713
00:39:00,120 --> 00:39:02,319
Speaker 2: you know what, I hear you. I hear that you

714
00:39:02,320 --> 00:39:04,279
Speaker 2: don't have your mind made up. And here's why I

715
00:39:04,400 --> 00:39:06,719
Speaker 2: think that I can be effective in helping convince you.

716
00:39:07,520 --> 00:39:12,080
Speaker 1: Mollie, can you describe the undecided voter today? Because I

717
00:39:12,120 --> 00:39:14,600
Speaker 1: hate to be one of those people who doesn't understand

718
00:39:14,600 --> 00:39:18,799
Speaker 1: how anybody could be undecided at this juncture, but it

719
00:39:18,920 --> 00:39:23,680
Speaker 1: does seem remarkable that there are actually people out there

720
00:39:23,760 --> 00:39:27,560
Speaker 1: who don't see this as the clear decision or have

721
00:39:27,800 --> 00:39:33,000
Speaker 1: not been pain attention enough to at least have an

722
00:39:33,080 --> 00:39:35,239
Speaker 1: inklaim of who they're going to vote for.

723
00:39:36,200 --> 00:39:39,479
Speaker 3: So it's a lot of people who don't follow politics right.

724
00:39:39,680 --> 00:39:43,240
Speaker 3: And if you have, you know, if you're a working

725
00:39:43,320 --> 00:39:47,520
Speaker 3: mom with kids and a very crazy full time job,

726
00:39:47,680 --> 00:39:51,040
Speaker 3: and you maybe are a single mom and you just

727
00:39:51,120 --> 00:39:54,040
Speaker 3: don't have time for television and you're you know what,

728
00:39:54,120 --> 00:39:56,400
Speaker 3: maybe you're a nurse, or I join me in this

729
00:39:56,480 --> 00:39:59,520
Speaker 3: fantasy of the nurse, single mom with all these kids

730
00:39:59,600 --> 00:40:01,160
Speaker 3: and no time.

731
00:40:01,040 --> 00:40:01,920
Speaker 2: To read the newspaper.

732
00:40:02,000 --> 00:40:06,080
Speaker 3: I mean, I think there are people who don't pay

733
00:40:06,120 --> 00:40:09,799
Speaker 3: attention to politics or don't remember Trump is them, or

734
00:40:10,040 --> 00:40:13,520
Speaker 3: people who are very affected by inflation and things being

735
00:40:13,520 --> 00:40:17,640
Speaker 3: more expensive. And for them, they just see that even

736
00:40:17,640 --> 00:40:21,320
Speaker 3: though everyone's telling the economy is good, they can't afford

737
00:40:21,520 --> 00:40:24,080
Speaker 3: the number of groceries they could a year ago. Now

738
00:40:24,080 --> 00:40:26,120
Speaker 3: it wouldn't be a year ago because inflation has actually

739
00:40:26,200 --> 00:40:29,000
Speaker 3: gone down, but that would be my in my head.

740
00:40:29,040 --> 00:40:32,359
Speaker 3: Those are the voters who the Trump is saying. And

741
00:40:32,440 --> 00:40:35,279
Speaker 3: remember Trump is promising a lot of stuff. I mean,

742
00:40:35,320 --> 00:40:38,560
Speaker 3: he basically just promises everything all the time. So you know,

743
00:40:38,800 --> 00:40:41,720
Speaker 3: he went to Nevada and he promised no more taxes

744
00:40:41,760 --> 00:40:46,680
Speaker 3: on tips. Now of course I mean more complicated. But

745
00:40:46,840 --> 00:40:49,760
Speaker 3: and then he went to he went to Michigan yesterday

746
00:40:49,800 --> 00:40:52,880
Speaker 3: in Detroit, he chat, he said terrible things about Detroit

747
00:40:52,960 --> 00:40:55,759
Speaker 3: to Detroit. And then he also promised that he would

748
00:40:55,760 --> 00:40:59,880
Speaker 3: make car loans tax deductible. Now, there is no world

749
00:41:00,080 --> 00:41:03,000
Speaker 3: in which depreciating asset like a car should have a

750
00:41:03,080 --> 00:41:05,799
Speaker 3: tax deductible loan. And you would have to grow the

751
00:41:05,840 --> 00:41:08,359
Speaker 3: irs to do this. And the Republican Party is very

752
00:41:08,400 --> 00:41:10,040
Speaker 3: mad at the irs and does not want to grow

753
00:41:10,080 --> 00:41:14,399
Speaker 3: the irs. So but you know, if you're a voter

754
00:41:14,520 --> 00:41:17,840
Speaker 3: who's taking in very little of this and you're very

755
00:41:17,920 --> 00:41:20,720
Speaker 3: you know, you're pinched and you're mad and you're worried,

756
00:41:21,239 --> 00:41:24,280
Speaker 3: I could see how you might. And remember historically people

757
00:41:24,280 --> 00:41:26,920
Speaker 3: have thought Republicans were better in the economy. I don't know,

758
00:41:27,000 --> 00:41:33,680
Speaker 3: that's my fantasy of what the the the borderline voter is.

759
00:41:34,239 --> 00:41:38,160
Speaker 1: By the way, Kamala also supports no tax on tips, right.

760
00:41:38,200 --> 00:41:41,040
Speaker 1: She followed She followed Trump's lead on that.

761
00:41:41,400 --> 00:41:44,520
Speaker 2: If you're someone that hears these Trump policies, which really

762
00:41:44,560 --> 00:41:46,520
Speaker 2: has pointed out are kind of just fantasies. But if

763
00:41:46,520 --> 00:41:49,120
Speaker 2: you hear him, you know, making these promises and you

764
00:41:49,200 --> 00:41:51,560
Speaker 2: believe them to be true. If you're on the other

765
00:41:51,600 --> 00:41:53,319
Speaker 2: side of that and try to go to this Trump

766
00:41:53,360 --> 00:41:55,960
Speaker 2: voter and say, you know, everything he's promising is a lie,

767
00:41:56,200 --> 00:41:59,000
Speaker 2: that's not an effective tool. I feel in changing their mind.

768
00:41:59,080 --> 00:42:00,960
Speaker 2: They're going to say this is he's the man whose

769
00:42:01,000 --> 00:42:03,879
Speaker 2: beliefs I idealize, and I think he is the best

770
00:42:03,880 --> 00:42:06,080
Speaker 2: for me. So there's a smugness that I think some

771
00:42:06,160 --> 00:42:08,600
Speaker 2: of the supporters of Kamala can have in sort of

772
00:42:08,600 --> 00:42:11,640
Speaker 2: trying to educate these Trump voters by enlightening them. And

773
00:42:11,680 --> 00:42:14,520
Speaker 2: so again I think it's really important in our tone

774
00:42:14,600 --> 00:42:16,719
Speaker 2: and how we speak to those undecided or even those

775
00:42:16,760 --> 00:42:20,000
Speaker 2: Trump voters, in helping them realize that what they've been

776
00:42:20,000 --> 00:42:22,239
Speaker 2: promised is indeed a lie. But I think it's all

777
00:42:22,239 --> 00:42:25,200
Speaker 2: about how we go about, you know, bursting that lie,

778
00:42:25,239 --> 00:42:27,839
Speaker 2: because again, I think sometimes that can just cause those

779
00:42:27,840 --> 00:42:30,960
Speaker 2: supporters to dig in their heels and say, well, you know,

780
00:42:31,080 --> 00:42:33,120
Speaker 2: I'm going to double down on my belief system because

781
00:42:33,160 --> 00:42:34,600
Speaker 2: I don't want to be I don't want this smug

782
00:42:34,640 --> 00:42:37,799
Speaker 2: tone telling you that I'm wrong. Yeah, So I'm just

783
00:42:37,800 --> 00:42:39,840
Speaker 2: curious what are your thoughts on sort of the viability

784
00:42:39,880 --> 00:42:42,120
Speaker 2: of celebrity endorsements. Obviously, you know we have the big

785
00:42:42,160 --> 00:42:44,799
Speaker 2: ticket ones, the Taylor Swift's, the Bruce Springsteen. But you know,

786
00:42:44,920 --> 00:42:47,080
Speaker 2: as we saw, there's been a ton of interest around

787
00:42:47,120 --> 00:42:49,400
Speaker 2: Child Arrowan for instance, and whether or not she was

788
00:42:49,400 --> 00:42:52,239
Speaker 2: coming out in supporting Kabala. She eventually was, I would

789
00:42:52,280 --> 00:42:55,040
Speaker 2: say it forced to come out and support of Kamala.

790
00:42:55,080 --> 00:42:57,520
Speaker 2: When you think about this sort of pressure that's grown,

791
00:42:57,800 --> 00:43:02,279
Speaker 2: this expectation that's especially young stars are expected to not

792
00:43:02,320 --> 00:43:05,840
Speaker 2: only have their vote luck but also let their fans

793
00:43:05,880 --> 00:43:08,400
Speaker 2: know who they're voting for and actually quote unquote endorse

794
00:43:08,440 --> 00:43:08,920
Speaker 2: a candidate.

795
00:43:09,480 --> 00:43:13,200
Speaker 3: You know, Julia Roberts was in Georgia campaigning for Harris.

796
00:43:13,480 --> 00:43:17,360
Speaker 3: I think it's I mean, look, certainly, Taylor Swift moves

797
00:43:17,400 --> 00:43:20,080
Speaker 3: the needle, I think, because you can't look at those

798
00:43:20,160 --> 00:43:22,759
Speaker 3: numbers and not think she moves the needle. And she

799
00:43:23,000 --> 00:43:27,120
Speaker 3: had you know, these are women who this is an

800
00:43:27,160 --> 00:43:30,839
Speaker 3: election all about reproductive rights, so that makes sense. These

801
00:43:30,880 --> 00:43:34,040
Speaker 3: are women of reproductive age, right, I mean, that's one

802
00:43:34,080 --> 00:43:37,120
Speaker 3: of the things that would tailor. And we saw this

803
00:43:37,200 --> 00:43:39,920
Speaker 3: with call Her Daddy. She also said she was struggling,

804
00:43:39,960 --> 00:43:41,440
Speaker 3: she didn't want to get involved in the election, but

805
00:43:41,800 --> 00:43:45,160
Speaker 3: she has all of these women who listen to her.

806
00:43:45,480 --> 00:43:48,760
Speaker 3: Who are you know, they talked about sexual violence during

807
00:43:48,760 --> 00:43:52,719
Speaker 3: the interview with Vice President Harris. It was very focused

808
00:43:52,760 --> 00:43:56,040
Speaker 3: on like the problems of young women. So I do

809
00:43:56,120 --> 00:43:59,480
Speaker 3: think that that is important. And look, you know, we

810
00:43:59,560 --> 00:44:02,600
Speaker 3: talk about celebrity culture so much, and a lot of

811
00:44:02,600 --> 00:44:06,480
Speaker 3: these celebrities are very you know, these young women are

812
00:44:06,600 --> 00:44:10,000
Speaker 3: very connected to women's issues, and so I do think

813
00:44:10,040 --> 00:44:12,160
Speaker 3: in that way, it certainly makes a lot of sense.

814
00:44:12,640 --> 00:44:15,840
Speaker 3: And actors don't want to get into politics, but another

815
00:44:15,880 --> 00:44:18,920
Speaker 3: Trump administration will mean things. I mean I was thinking about,

816
00:44:19,160 --> 00:44:21,120
Speaker 3: you know, a Project twenty twenty five. I actually did

817
00:44:21,120 --> 00:44:24,160
Speaker 3: a YouTube series on it. There's a lot of stuff

818
00:44:24,160 --> 00:44:27,400
Speaker 3: about like ending pornography, right, like there won't be porn

819
00:44:27,719 --> 00:44:31,480
Speaker 3: right this fine? Maybe fine, you know, but that's like

820
00:44:31,640 --> 00:44:34,560
Speaker 3: Americans don't like that, and it will mean a whole

821
00:44:34,600 --> 00:44:37,080
Speaker 3: industry will go away. And will that mean that like

822
00:44:37,640 --> 00:44:41,400
Speaker 3: movies won't have new today and will movies have to

823
00:44:41,480 --> 00:44:44,840
Speaker 3: be checked by people? I mean it's a real Christian,

824
00:44:45,040 --> 00:44:48,359
Speaker 3: kind of fundamentalist view in Project twenty twenty five. So

825
00:44:48,520 --> 00:44:51,560
Speaker 3: like it will affect performers, like if a performer wants

826
00:44:51,560 --> 00:44:55,759
Speaker 3: to perform in a bra like Madonna, they may not

827
00:44:55,840 --> 00:44:58,720
Speaker 3: be able to do that anymore. I mean, this really

828
00:44:58,800 --> 00:45:01,399
Speaker 3: is if they're able to an ad Project twenty ninety five,

829
00:45:01,440 --> 00:45:03,800
Speaker 3: I mean, it's going to mean.

830
00:45:04,239 --> 00:45:08,160
Speaker 1: A new tentacles are long and affects so many aspects

831
00:45:08,200 --> 00:45:11,080
Speaker 1: of American life. I just wanted to throw in this

832
00:45:11,200 --> 00:45:15,680
Speaker 1: idea if there could be a backlash to celebrity endorsements,

833
00:45:15,920 --> 00:45:22,120
Speaker 1: because celebrities do represent the elite, if you will, and

834
00:45:22,520 --> 00:45:26,200
Speaker 1: if they might be considered too much part and parcel

835
00:45:26,400 --> 00:45:29,600
Speaker 1: with sort of the one percent, that there's so much

836
00:45:29,719 --> 00:45:33,200
Speaker 1: anger and angst among people who are struggling to pay

837
00:45:33,200 --> 00:45:36,960
Speaker 1: the bills, and with you know, grocery store prices, et cetera.

838
00:45:37,040 --> 00:45:40,279
Speaker 1: Even if they are going down, they're still high. If

839
00:45:40,400 --> 00:45:45,640
Speaker 1: that might turn people off more than excite them, it might.

840
00:45:45,719 --> 00:45:48,520
Speaker 2: But I feel, like, you know, celebrity is not a monolith,

841
00:45:48,560 --> 00:45:50,560
Speaker 2: and so I think that there's a difference between a

842
00:45:50,680 --> 00:45:53,719
Speaker 2: Jennifer Gardner and a Chapel Rowan. And to your point

843
00:45:53,719 --> 00:45:55,960
Speaker 2: about this idea that people have that celebrities are the

844
00:45:56,040 --> 00:45:59,600
Speaker 2: one percent. Again, some celebrities like Julia Roberts, sure, yes,

845
00:46:00,040 --> 00:46:03,160
Speaker 2: But Chappelowan, who's been famous for like what ten minutes,

846
00:46:03,280 --> 00:46:05,239
Speaker 2: I don't think she's a billionaire. I don't think she's

847
00:46:05,239 --> 00:46:07,160
Speaker 2: on the verge of you know, well I shouldn't say

848
00:46:07,160 --> 00:46:09,400
Speaker 2: I'm the virgin. She's perhaps on her ascent up to

849
00:46:09,400 --> 00:46:11,400
Speaker 2: the one percent. But I think part of the appeal

850
00:46:11,440 --> 00:46:13,640
Speaker 2: of someone like chaper Roan is the idea of her

851
00:46:13,640 --> 00:46:16,640
Speaker 2: being the every person. And so I actually think, sure,

852
00:46:16,800 --> 00:46:19,320
Speaker 2: in some instances it can work against, but I also

853
00:46:19,360 --> 00:46:22,000
Speaker 2: think equally so there's a fact ship celebrity who it

854
00:46:22,040 --> 00:46:25,840
Speaker 2: can work for. So again, not a monolith. Some I

855
00:46:25,920 --> 00:46:28,600
Speaker 2: find more effective than others. And also as someone who

856
00:46:28,760 --> 00:46:31,160
Speaker 2: you know, chronicles pop culture, I like seeing when my

857
00:46:31,239 --> 00:46:34,080
Speaker 2: fave comes out and gets a little political understanding that

858
00:46:34,120 --> 00:46:36,040
Speaker 2: it's going to be off putting for some. I think

859
00:46:36,200 --> 00:46:38,080
Speaker 2: you roll the dice. Some people are going to love

860
00:46:38,120 --> 00:46:39,839
Speaker 2: you for it. Some people are gonna hate it. They're

861
00:46:39,840 --> 00:46:41,239
Speaker 2: going to love you if you do speak up, they're

862
00:46:41,280 --> 00:46:43,000
Speaker 2: going to love you if you don't. It's sort of

863
00:46:43,320 --> 00:46:45,520
Speaker 2: you have to sort of have some sort of integrity

864
00:46:45,560 --> 00:46:47,440
Speaker 2: and say this is what's important to me, and whether

865
00:46:47,480 --> 00:46:49,640
Speaker 2: that be speaking out for staying silent. Well, that's a

866
00:46:49,680 --> 00:46:52,759
Speaker 2: great way to end our conversation. Bye, Molly, I know

867
00:46:52,800 --> 00:46:55,680
Speaker 2: you got to go. It's been so fun talking to you, Evan.

868
00:46:55,840 --> 00:46:59,919
Speaker 2: If you want to say a do bit ad to Mollie. Yes, Molly,

869
00:47:00,040 --> 00:47:01,360
Speaker 2: thank you so much. This was a pleasure.

870
00:47:01,640 --> 00:47:03,640
Speaker 3: Thank you both for having me so much.

871
00:47:03,840 --> 00:47:07,000
Speaker 1: Thank you guys, Evan, it was so fun doing this

872
00:47:07,040 --> 00:47:08,400
Speaker 1: with you. Did you have a good time.

873
00:47:08,880 --> 00:47:10,520
Speaker 2: I had such a good time. I always had a

874
00:47:10,520 --> 00:47:11,600
Speaker 2: good time with you, Katie.

875
00:47:11,719 --> 00:47:13,920
Speaker 1: I mean con I mean, I feel like there's so

876
00:47:14,160 --> 00:47:16,719
Speaker 1: much to discuss. I feel like you and I are.

877
00:47:16,719 --> 00:47:19,240
Speaker 2: Row the topic my way, and I will I will say.

878
00:47:19,120 --> 00:47:21,239
Speaker 1: Well, you and I need to have a cock deal

879
00:47:21,360 --> 00:47:23,200
Speaker 1: or something and really get into it.

880
00:47:23,520 --> 00:47:25,280
Speaker 2: I agree, I agree.

881
00:47:25,560 --> 00:47:28,480
Speaker 1: It is such a fascinating time. And how are you

882
00:47:28,520 --> 00:47:32,200
Speaker 1: feeling about the election? I think people are getting increasingly

883
00:47:32,400 --> 00:47:36,160
Speaker 1: nervous as it gets closer and closer because the polls

884
00:47:36,200 --> 00:47:40,120
Speaker 1: believe them or not. So the race is so so tight.

885
00:47:40,600 --> 00:47:42,560
Speaker 1: How do you think it's going to go?

886
00:47:43,160 --> 00:47:45,400
Speaker 2: Yeah, well, I mean I would go back to hope

887
00:47:45,440 --> 00:47:47,960
Speaker 2: as sort of being my pervasive emotion at the moment

888
00:47:48,040 --> 00:47:52,520
Speaker 2: because I choose that I'm anxious. Yes, I was anxious

889
00:47:52,560 --> 00:47:54,600
Speaker 2: in twenty twenty, I was anxious in twenty sixteen and

890
00:47:54,680 --> 00:47:56,880
Speaker 2: twenty twelve, et cetera. I think it's very normal to

891
00:47:56,880 --> 00:47:59,080
Speaker 2: be anxious in times like these, as well as the

892
00:47:59,080 --> 00:48:01,600
Speaker 2: fact that there are other anxieties that one can have

893
00:48:01,680 --> 00:48:03,920
Speaker 2: at the moment with everything going on in the world,

894
00:48:03,960 --> 00:48:07,799
Speaker 2: from global disasters to you know, a wars rampant. So

895
00:48:08,280 --> 00:48:10,640
Speaker 2: I yes, anxiety is certainly in the motion that I feel.

896
00:48:10,760 --> 00:48:12,800
Speaker 2: But I feel a lot of excitement and I feel

897
00:48:12,800 --> 00:48:16,040
Speaker 2: hopeful about the prospect of change that Kambala brings about.

898
00:48:16,480 --> 00:48:20,120
Speaker 2: I'm still energized from the DNC debate by seeing all

899
00:48:20,160 --> 00:48:23,480
Speaker 2: of these young Democrats emerging that I think could potentially

900
00:48:23,560 --> 00:48:26,560
Speaker 2: be viable nominees for us in the future. Again, I

901
00:48:26,600 --> 00:48:30,120
Speaker 2: will say, you know, Pete Aoc, Jasmine Crockett, et cetera.

902
00:48:30,239 --> 00:48:32,680
Speaker 2: I think that there is an energy that no matter

903
00:48:32,760 --> 00:48:35,719
Speaker 2: the outcome of this election, I am energized by the

904
00:48:35,760 --> 00:48:38,719
Speaker 2: possibility of the Democratic Party moving forward. And I did

905
00:48:38,760 --> 00:48:41,720
Speaker 2: not feel that prior to the DNC, and so I'm

906
00:48:41,760 --> 00:48:44,400
Speaker 2: not quite over the power that I think the first

907
00:48:44,440 --> 00:48:47,960
Speaker 2: three nights in particular of the DNC had on changing

908
00:48:47,960 --> 00:48:50,839
Speaker 2: the conversation for the Democrats. I think that was a

909
00:48:50,880 --> 00:48:53,800
Speaker 2: really powerful moment. I read a piece this morning.

910
00:48:53,880 --> 00:48:56,440
Speaker 1: I think it was inn Pup that Washington is just

911
00:48:56,520 --> 00:49:00,400
Speaker 1: not ready for the possibility of a Trump president tenancy.

912
00:49:01,280 --> 00:49:02,400
Speaker 1: Are you prepared for that?

913
00:49:03,160 --> 00:49:05,440
Speaker 2: I'm not sure how one can be prepared for it,

914
00:49:05,520 --> 00:49:07,920
Speaker 2: But I think the thing, if we're being really honest here,

915
00:49:08,080 --> 00:49:10,600
Speaker 2: we've done it before. I know this is not something

916
00:49:10,680 --> 00:49:13,719
Speaker 2: that people want to hear, but like, we experienced four

917
00:49:13,800 --> 00:49:17,440
Speaker 2: years of a Trump presidency, so it's not unprecedented territory

918
00:49:17,440 --> 00:49:20,040
Speaker 2: we would be going into. In a sense, I realize

919
00:49:20,040 --> 00:49:22,800
Speaker 2: times are different and there are policies that he's put forward,

920
00:49:22,800 --> 00:49:25,319
Speaker 2: that we're not a part of the messaging from four

921
00:49:25,400 --> 00:49:27,600
Speaker 2: years ago. But to say that we have no these

922
00:49:27,600 --> 00:49:30,640
Speaker 2: are unchartered waters is simply untrue. So though I am

923
00:49:30,680 --> 00:49:33,360
Speaker 2: not prepared for it, we do have a precedent to

924
00:49:33,400 --> 00:49:35,919
Speaker 2: look at. And obviously it was I can only speak

925
00:49:35,920 --> 00:49:37,560
Speaker 2: for myself. It was a horrible time to be in.

926
00:49:37,680 --> 00:49:40,839
Speaker 2: So I am preparing myself for it, but also not

927
00:49:40,880 --> 00:49:43,040
Speaker 2: saying that I have no idea what it will be like.

928
00:49:43,400 --> 00:49:47,040
Speaker 2: I am hopeful if Trump becomes the president that the

929
00:49:47,120 --> 00:49:50,319
Speaker 2: other two levers of power will go the Democratic way

930
00:49:50,400 --> 00:49:53,359
Speaker 2: and will essentially block the policies that he would want

931
00:49:53,360 --> 00:49:55,759
Speaker 2: to put forward. So for me, if we're not going

932
00:49:55,800 --> 00:49:57,880
Speaker 2: to get the presidency, it's equally important to have our

933
00:49:57,920 --> 00:50:01,200
Speaker 2: eye on retaining that Senate majority and keeping the House.

934
00:50:01,320 --> 00:50:03,640
Speaker 2: So that to me is sort of where if I

935
00:50:03,719 --> 00:50:05,719
Speaker 2: move my hope from the presidency, I move it over

936
00:50:05,800 --> 00:50:06,280
Speaker 2: to the other.

937
00:50:06,160 --> 00:50:09,600
Speaker 1: Two levers of power. I'll have what you're having. Thank you,

938
00:50:09,840 --> 00:50:13,200
Speaker 1: Thank you, Evan ross Katz, Thank you so much. This

939
00:50:13,360 --> 00:50:15,480
Speaker 1: was so much fun. And I'll see you soon, I hope,

940
00:50:15,640 --> 00:50:27,360
Speaker 1: I hope. So thanks for listening everyone. If you have

941
00:50:27,440 --> 00:50:30,360
Speaker 1: a question for me, a subject you want us to cover,

942
00:50:30,719 --> 00:50:33,000
Speaker 1: or you want to share your thoughts about how you

943
00:50:33,120 --> 00:50:36,520
Speaker 1: navigate this crazy world reach out. You can leave a

944
00:50:36,560 --> 00:50:39,479
Speaker 1: short message at six oh nine five P one two

945
00:50:39,760 --> 00:50:42,360
Speaker 1: five five oh five, or you can send me a

946
00:50:42,440 --> 00:50:45,239
Speaker 1: DM on Instagram. I would love to hear from you.

947
00:50:45,840 --> 00:50:49,920
Speaker 1: Next Question is a production of iHeartMedia and Katie Kuric Media.

948
00:50:50,320 --> 00:50:53,960
Speaker 1: The executive producers are Me, Katie Kuric, and Courtney Ltz.

949
00:50:54,239 --> 00:50:58,520
Speaker 1: Our supervising producer is Ryan Martz, and our producers are

950
00:50:58,560 --> 00:51:04,280
Speaker 1: Adriana Fazzio and Meredith Barnes. Julian Weller composed our theme music.

951
00:51:05,120 --> 00:51:08,239
Speaker 1: For more information about today's episode, or to sign up

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Speaker 1: for my newsletter, wake Up Call, go to the description

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954
00:51:15,600 --> 00:51:18,000
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