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Speaker 1: Hey guys, and welcome to Normally, the show with normalist

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Speaker 1: takes for when the news gets weird. Thank you for

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Speaker 1: being with us, all of our normies. I am Mary

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Speaker 1: cavin Ham.

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Speaker 2: And I'm Carol Markowitz. Hey Mary Catherine, how.

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Speaker 3: Are you And have you had any McDonald's recently?

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Speaker 1: Oh my gosh, that's a you know, that's an evergreen

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Speaker 1: yes for me. Really, I thought you're a Vojangles girl.

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Speaker 3: Oh. I strongly associate you with the Vojangles.

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Speaker 1: Brand, as you should. But the beauty of me is

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Speaker 1: that I can be associated with several fast food brands,

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Speaker 1: among them McDonald's, Vojangles, and waffle House, and I have much,

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Speaker 1: much love for all of them. Another thing I've always

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Speaker 1: had love for is Trump's unabashed affection for fast food.

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Speaker 2: Yeah, he's not at all embarrassed. He's like, bring on

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Speaker 2: the McDonald's burgers when he's in the White House, you know,

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Speaker 2: stack them up real high on nice silver trays.

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Speaker 1: Oh my god. I did enjoy that so much. It

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Speaker 1: was a what was it a National championship ceremony where

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Speaker 1: a team was being welcomed to the White House. He

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Speaker 1: just puts out fast food boxes everywhere you can see

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Speaker 1: there's what they like. They're arranged beautifully. I thought that

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Speaker 1: was a wonderful moment. So this was on display this week.

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Speaker 1: We're doing some trail Shenanigans, they call it. They call

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Speaker 1: it silly season for a reason, and things do get

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Speaker 1: silly in October. And I enjoyed this silly very much.

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Speaker 1: Which is McDonald's.

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Speaker 2: Uh A.

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Speaker 1: McDonald's in Pennsylvania had former President Donald Trump making fries

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Speaker 1: and handing out orders this weekend and it was quite

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Speaker 1: the photo op. What what did you think? Carol thought

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Speaker 1: it was art.

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Speaker 2: I mean those pictures of him waving out of the

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Speaker 2: drive through window. It's just it's funny because obviously he's

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Speaker 2: running for president again. He's been in our political lives

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Speaker 2: for a long time. But we all know Donald Trump

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Speaker 2: for decades, decades and decades. You know, my kids knew

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Speaker 2: who he was from home alone too. It just there's

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Speaker 2: some some kind of nostalgia almost for him, like we've

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Speaker 2: known this man for so long and so many different ways,

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Speaker 2: The Apprentice, et cetera.

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Speaker 3: And here he is.

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Speaker 2: On the campaign trail, leaning out a drive through window,

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Speaker 2: waving and just he looks super iconic. Norman Rockwell, not

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Speaker 2: at all, the guy who lives in Trump Tower in

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Speaker 2: New York City with golden toilets.

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Speaker 3: It was just it was glorious, beautifully done.

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Speaker 2: I thought the campaign was brilliant for making it happen,

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Speaker 2: especially of.

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Speaker 3: Course, because Kamala Harris says.

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Speaker 2: That she worked Adam McDonald's and has produced absolutely no

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Speaker 2: evidence of it, like not a picture, not a friend

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Speaker 2: who worked with her, not you know, anything, zero proof

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Speaker 2: of it, although of course that's enough for the media.

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Speaker 2: The New York Times had a fact check on Donald

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Speaker 2: Trump and they basically said, like, Kamala Harris says that

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Speaker 2: she did.

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Speaker 1: So, so she did.

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Speaker 3: Yeah, she did, and we're sticking with that.

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Speaker 1: Yeah, it's this event was sort of meant as a

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Speaker 1: troll of her and the idea that she worked there.

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Speaker 1: And it also you've worked on campaigns, Carol, Yeah, you

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Speaker 1: know that the job of campaign staff is to put

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Speaker 1: the principle to put the candidate in a place where

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Speaker 1: the candidate can be the best version of themselves, right,

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Speaker 1: And I thought that this on that front was such

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Speaker 1: a huge victory, which is kind.

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Speaker 3: Of continues to surprise me.

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Speaker 2: Right, Donald Trump, Donald Trump again, he of the golden

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Speaker 2: toilets is supernatural at a McDonald's drive through window. You know,

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Speaker 2: we were kind of chatting about this before the episode,

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Speaker 2: and we were talking about how Kamala Harris could not

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Speaker 2: do this, she could not do.

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Speaker 3: This in any situation. And of course there's this whole

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Speaker 3: thing where, oh it was staged? Really was it?

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Speaker 2: He didn't abandon his his campaign to go be the

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Speaker 2: fry cook at McDonald's.

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Speaker 1: Was the stage? Mary Catherine Well, I joked, I'm going

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Speaker 1: to have to take some time to contemplate this idea

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Speaker 1: that this might not have been a totally organic event

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Speaker 1: where the former president and billionaire took a job at

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Speaker 1: McDonald's in Pennsylvania as a side hustle during his campaign

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Speaker 1: for president. Obviously, this is a campaign event. Every person

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Speaker 1: who came through the drive through or was associated with

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Speaker 1: this was going to necessarily be vetted. Because I hastened

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Speaker 1: to remind everyone he has been almost assassinated twice now twice. Yeah,

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Speaker 1: so yes, this was not an organic situation. News media

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Speaker 1: Newsweek actually has a piece was Donald Trump's mcdonald' ship

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Speaker 1: quote staged? And it's like a fact check?

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Speaker 4: No.

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Speaker 1: David from a writer at the Atlantic claims, Hey, all

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Speaker 1: these people who came to the drive through were vetted

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Speaker 1: because he can't meet up with people who disagree with him. It's, oh, yeah,

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Speaker 1: we're all being deliberately obtuse about what a campaign photo

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Speaker 1: op looks like.

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Speaker 2: Yeah, when they work, when they're eating, like, you know,

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Speaker 2: corn dog on a stick in Iowa?

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Speaker 4: Is it?

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Speaker 2: Are all the stories like, I don't know that he

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Speaker 2: really wanted a corn dog on a stick.

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Speaker 3: I think he would have preferred sushi. But you know,

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Speaker 3: this seems a little and authentic.

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Speaker 2: They the fact that the liberal media lost their mind

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Speaker 2: over this is so bizarre. This is such a weird

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Speaker 2: one for me for them to go crazy over, and

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Speaker 2: it kind of shows that it landed.

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Speaker 1: It hit.

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Speaker 3: The pictures were amazing.

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Speaker 2: You know, we'll get into into football a little later,

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Speaker 2: but Donald Trump went to a.

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Speaker 3: Football game after this. He just he had a fantastic weekend.

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Speaker 3: And they hate it.

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Speaker 1: Yeah, so one part of this too, you reference the

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Speaker 1: pictures And I do think that picture of him waiting

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Speaker 1: out the window looks like if you gave AI a

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Speaker 1: prompt that was like, what will the customs posters in

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Speaker 1: a twenty twenty four post twenty twenty four Trump presidency

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Speaker 1: look like and honestly, they should make them into his

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Speaker 1: official portrait. I really should just go for it.

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Speaker 3: Show me America.

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Speaker 1: I want to read you seth Abramson h takes exception

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Speaker 1: to this event, of course he does. Perhaps no stunt

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Speaker 1: in the history of US politics deserves more ridicule than

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Speaker 1: the grotesquely embarrassing mummerie Trump put on at a Pennsylvania

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Speaker 1: McDonald's today. The whole country got shi t e ar

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Speaker 1: I'm I don't want our ess tag.

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Speaker 3: Yeah.

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Speaker 1: Because of this, the McDonald's was closed, the customers were fake.

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Speaker 1: Trump did nothing right.

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Speaker 2: Where Michael Ducacas in the tank that was him actually

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Speaker 2: going to war you guys.

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Speaker 1: Yes, I just this reaction adds a layer of success

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Speaker 1: to the event, right, And I just want to submit

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Speaker 1: that if you are this angry about Trump being in

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Speaker 1: a silly campaign event where he's chatting with normal people

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Speaker 1: in Pennsylvania, yes, betted at a drive through, You're not

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Speaker 1: the smart, insane person in the scenario, right like this,

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Speaker 1: When you react like this, the Trump campaign is like, fantastic,

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Speaker 1: we have we have done what we sought to do.

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Speaker 1: Let's let's play a little clip of him meeting some

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Speaker 1: of the people who came through the drive through. Here

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Speaker 1: we goody, you can't take this.

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Speaker 2: Yes, please don't let the United States become raz my natives.

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Speaker 2: We'll keep it good.

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Speaker 1: We're going to make it better than that.

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Speaker 2: Okay, thank you, yes, you so much.

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Speaker 1: Just a nice family of Brazilian Americans coming through the

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Speaker 1: drive through. He also after. Right after her, there was

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Speaker 1: an Indian American family that comes through, and he's he

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Speaker 1: had this line. What did he say to them?

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Speaker 2: So they said, oh, you know, it's so amazing for

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Speaker 2: like regular people like us to meet the president.

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Speaker 3: He's like, you're not regular.

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Speaker 1: It's like you are not regular Again, when the candidate

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Speaker 1: can surprise you with their ability to be kind and

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Speaker 1: sweet and cut against the uh stereotype and the idea

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Speaker 1: that a lot of people have of them. I think

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Speaker 1: Vance in the debate was another good example of this.

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Speaker 1: So you're putting your candidate in a position where they

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Speaker 1: can show that they are different from the bad take

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Speaker 1: on them. And look, I don't always have confidence in

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Speaker 1: Trump to be able to transcend that, but in this

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Speaker 1: situation he did, and I think that is why people

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Speaker 1: are upset about it. We'll be right back in just

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Speaker 1: a moment on normally.

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Speaker 2: Right, I think if you had asked me, should Donald

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Speaker 2: Trump go like work at McDonald's and help out with

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Speaker 2: the drive through window after making some fries. I don't

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Speaker 2: know that I have the political instincts there to say, oh,

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Speaker 2: this will be a good idea, this is going to

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Speaker 2: go well, like this could not go well, but it

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Speaker 2: went amazing, and you know, so obviously they're mad.

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Speaker 1: By the way. Somebody told me on Twitter one of

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Speaker 1: my reply guys that ten years ago Mary Catherine would

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Speaker 1: have hated this, and I said, no, contraire. Mary Katherine

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Speaker 1: Ham has been consistent about her love for fast food

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Speaker 1: and about Donald Trump's love for fast food full time.

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Speaker 1: I do not have an issue with any of that.

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Speaker 3: Right, and come on, hated it? You don't hate that many.

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Speaker 1: Things, that's true. I mean, my main goal in life

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Speaker 1: is to get everybody to chill a little bit. So right, well,

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Speaker 1: there's more shenanigans on the trail that people are mad at,

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Speaker 1: and these involved Elon Musk, who has made a promise

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Speaker 1: to give out a million bucks to one rally attendee

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Speaker 1: who has signed his Constitution pledge. But yeah, right, every

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Speaker 1: day until the election is the promise. So one guy

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Speaker 1: actually just got a million bucks, right, I think several people.

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Speaker 2: Now I think there was a woman also who got

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Speaker 2: a million. You know, I think normally gets results. Last

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Speaker 2: episode we talked about how handing out cash works and

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Speaker 2: here we are so and it's so funny because all

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Speaker 2: the articles are like, even from like Britain in BBC

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Speaker 2: and the Guardian.

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Speaker 3: Are all like is this legal?

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Speaker 2: We talked to experts and it's like they have never

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Speaker 2: back checked, you know, any part of handing out cash

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Speaker 2: that happens by Democrats. They never went through Kamala Harris's

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Speaker 2: pledge to give black men twenty thousand dollars to start businesses.

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Speaker 2: They don't talk about Joe Biden handing out cash to

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Speaker 2: pay off student loans to the supporters. It's you know,

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Speaker 2: none of this happens. But Donald Trump's ally Elon Musk.

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Speaker 3: Now, we got to get the experts in right.

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Speaker 1: Don't they know that you're only supposed to make these

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Speaker 1: promises with other people's money. You're supposed to use your

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Speaker 1: own money, right, right? Exactly?

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Speaker 2: Although do you remember the New York Times lady who

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Speaker 2: thought that Bloomberg on TV? She said that Mike Bloomberg

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Speaker 2: could have given every American one million dollars, so I

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Speaker 2: think they were open to the idea when it was

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Speaker 2: going to be a million dollars for everyone, you know,

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Speaker 2: which of course would have been one dollar for everyone.

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Speaker 3: It was just some really poor math.

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Speaker 1: And this is the thing, like, if you're going to

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Speaker 1: soak the rich, go straight to the source, Like, don't

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Speaker 1: filter it through the federal government. Just take a million

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Speaker 1: bucks straight from Elon Musk. By the way, that considered

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Speaker 1: a gift. So maybe there's not too much tax on

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Speaker 1: it either, So congratulations everyone. I do think if we're

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Speaker 1: going to do this arms race of just giving cash

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Speaker 1: to people, I'm so much happier with it coming from

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Speaker 1: a person's bank account for sure. And I am from

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Speaker 1: a bunch of taxpayers. That is the that is the

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Speaker 1: clearly morally preferable, absolutely payoff. Yeah right.

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Speaker 3: And it's so funny. Also, Democrats are so mad about

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Speaker 3: Elon Musk on the trail.

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Speaker 2: It's like, do you see this billionaire on the trail

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Speaker 2: with a politician. Well, we never had that happen before,

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Speaker 2: And it's like literally happens all the time on the left.

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Speaker 3: I mean, you know George.

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Speaker 2: Soros, Alex Soros, you know any number of other people,

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Speaker 2: Mark Zuckerberg of force in the twenty twenty election.

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Speaker 3: They act as if this is a brand new thing.

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Speaker 3: But they're like, no, but it's different because Elon Musk

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Speaker 3: controls X and yeah, so Mark Zuckerberg controlled Facebook and it.

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Speaker 1: Was all of your dudes control all the other things.

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Speaker 2: Yeah, so they're like, but no, no, but it's different.

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Speaker 2: So there's a New York Times article. I actually I

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Speaker 2: was going to predict on the show that there's going

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Speaker 2: to be like a really serious article come out about

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Speaker 2: how like this is, you know, this.

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Speaker 3: Is giving Elon Musk too much power.

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Speaker 2: And let me tell you, I just looked it up

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Speaker 2: and the New York Times does not disappoint US agencies

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Speaker 2: fund and fight with Elon Musk. Trump presidents he could

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Speaker 2: give him power over them. And it's like a shadowy

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Speaker 2: picture of Elon Musk. There's four authors on the piece,

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Speaker 2: and Elon Musk's influence over the federal government is extraordinary

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Speaker 2: and extraordinarily lucrative.

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Speaker 3: And it's just about how.

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Speaker 2: He, you know, has contracts with the Department of Defense

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Speaker 2: and he's got all this all these federal contracts and

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Speaker 2: all this influence because that has never happened before George

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Speaker 2: Soros literally runs district attorney departments all over the country,

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Speaker 2: but influence Mary Kather this is this is the first

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Speaker 2: time it's ever happened. And so just one more point

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Speaker 2: to conclude, my elon Musk is not an aberration, and

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Speaker 2: this happens all the time. There was a story in

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Speaker 2: Time magazine February twenty twenty one by Mollyball and it

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Speaker 2: was called the Secret History of the Shadow Campaign that

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Speaker 2: saved the twenty twenty election, and it literally illustrated how

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Speaker 2: the tech companies got together and coordinated to keep Donald

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Speaker 2: Trump out. So spare me that this is the first

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Speaker 2: time this has ever happened in the history of the world.

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Speaker 1: Ye, that's yet another and one of the more egregious

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Speaker 1: examples of the moment that the conspiracy theory becomes true.

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Speaker 1: Right like it's it's like we were all that was

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Speaker 1: just all nonsense until it was reported that it wasn't

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Speaker 1: all nonsense. But of course by then it was too

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Speaker 1: late to give anyone credit for the fact that they

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Speaker 1: were correct about.

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Speaker 3: Absolutely, and they wrote the story.

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Speaker 2: The story was like greeted like, yes, this was an

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Speaker 2: amazing thing that they did, and it's like, oh, you

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Speaker 2: guys totally coordinated election you know, electioneering.

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Speaker 3: And that's okay, but of course it was.

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Speaker 1: I got to say that one of the best pitches

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Speaker 1: for a Trump presidency for me is the idea that

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Speaker 1: a guy like Elon Musk, who is famous for making

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Speaker 1: things work, would be given any sort of influence on

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Speaker 1: the federal government. Really, yeah, because it's bad at working.

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Speaker 1: It's bad at that.

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Speaker 2: It is bad at that, And that's why he's resonating, right,

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Speaker 2: It's like, we don't really care, or not that we

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Speaker 2: don't care, but it doesn't get like, oh my god,

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Speaker 2: Kamala Harris is hanging out with George Sorows or you

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Speaker 2: know Alex Sorows recently.

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Speaker 3: No, but Elon Musk is cool and unique and.

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Speaker 2: Different and effective, and everybody thinks that's, you know, a

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Speaker 2: good thing. And the fact that he's supporting Trump is

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Speaker 2: a huge bonus for Trump.

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Speaker 1: On the subject of government inefficiency. He told a little

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Speaker 1: story the other day on the trail, and this is

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Speaker 1: another thing. You know, again, there's a stereotype about Musk

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Speaker 1: that when he he tells a story like this, it

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Speaker 1: was genuinely hilarious about the things he has to deal

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Speaker 1: with with the federal government. That cuts against the picture

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Speaker 1: of him as well, and it goes viral and people

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Speaker 1: see it, just as these McDonald's clips are everywhere, and

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Speaker 1: I think it does them good. This one, in particular,

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Speaker 1: was a story about how the federal government required him

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Speaker 1: to do a study of what would happen or how

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Speaker 1: probable it might be that his rockets when coming back

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Speaker 1: to Earth landing in the ocean would hit sharks for

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Speaker 1: whales right in the ocean, and Musk being Musk is like,

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Speaker 1: I mean there's a lot of ocean. I could do

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Speaker 1: the calculations. He says, can you guys give me the

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Speaker 1: info on the density of the sharks and whales if

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Speaker 1: you guys have that, And they're like, no, no.

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Speaker 3: You figure that out on your own.

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Speaker 2: Elon Musk, and then he said, tomorrow I will tell

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Speaker 2: the story of how SpaceX was forced by the government

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Speaker 2: to kidnap seals, put earphones on them and play sonic

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Speaker 2: boom sounds to say see if they seemed upset. Can't

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Speaker 2: wait to hear that one.

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Speaker 1: I mean, really, it's beyond parody. But so much of

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Speaker 1: the federal government is beyond parody that I think it's

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Speaker 1: I think it's helpful for people to bring light to this.

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Speaker 1: And I just want to play one line from him

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Speaker 1: where he calls out the whales. Let's hear Elon Musk

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Speaker 1: call out the whales.

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Speaker 4: But they wouldn't let us proceed with launch until we

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Speaker 4: did this crazy shock data and then we saw okay,

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Speaker 4: now we're done this hip, But what about whales? I like,

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Speaker 4: when you look at a picture of the Pacific, what

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Speaker 4: percentage of the sofa area the Pacific?

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Speaker 1: Do you see his whale? Because I see it.

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Speaker 4: Look at a picture, honestly, and like you can't wear

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Speaker 4: as a whale. And honestly, if the ship did hit

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Speaker 4: a whale, it's like, honestly, that weal had a coming

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Speaker 4: because it's like the odds are so low, you know,

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Speaker 4: it's like final Destination, the Whale edition. It's like fate

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Speaker 4: had it in for that whale, you know.

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Speaker 1: So that's Elon and Donald on the trail making people laugh,

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Speaker 1: and that's making some other people very mad, but it

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Speaker 1: is going to work with a few voters. They're going

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Speaker 1: to look at these guys and go, huh, that's a

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Speaker 1: different picture than I got from the rest of the coverage.

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Speaker 3: And again, million dollars if Elon wants to ship it

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Speaker 3: my way. I will go vote today. Early voting has

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Speaker 3: started in Florida.

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Speaker 1: I'm ready to go here. We go all right onto

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Speaker 1: the NFL elsewhere in Pennsylvania because that's where everyone's going

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Speaker 1: to be for the next two weeks. Trump went to

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Speaker 1: the Steelers game. It was a special Steelers game to

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Speaker 1: march mark the franchise's first Super Bowl win, and then

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Speaker 1: he did some rallies with NFL players in Pennsylvania before

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Speaker 1: this event, with a one time New York jet Le'Veon

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Speaker 1: Bell and controversial ex wide receiver Antonio Brown. I have

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Speaker 1: to say that the idea that kind of loopy wide

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Speaker 1: receivers who are very talented or into Trump is that's

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Speaker 1: on brand. That makes sense to me.

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Speaker 3: Why why is that? Tell tell the audience what that means.

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Speaker 1: I feel like Trump has that brand, like a guy

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Speaker 1: who has a lot of talents but isn't super coachable

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Speaker 1: and in your franchise is going to break some stuff.

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Speaker 1: I think that's right, one of the Donald Trump brand. Yeah,

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Speaker 1: I can see that. Yeah, So those guys were on

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Speaker 1: the trail with him. In response, it looks like Kamala

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Speaker 1: Harris has recruited some Steelers legends as well. She has

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Speaker 1: Jerome Bettison, me and Joe Green and the family of

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Speaker 1: the late Franco Harris will all be publicly supporting her.

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Speaker 1: So we're we have a face off, not just in

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Speaker 1: the NFL actual teams, but between the two campaigns. How

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Speaker 1: do you feel about politics in your football?

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Speaker 3: Well, you know, generally not a fan.

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Speaker 2: But I think that this is sort of funny because

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Speaker 2: Democrats usually have all the Hollywood celebrities, and over the weekend,

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Speaker 2: you know, she had Lizzo in Detroit, and I think

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Speaker 2: she had Megan thee Stallion in Atlanta, but don't don't

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Speaker 2: quote me on that she had somebody in Atlanta.

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Speaker 1: Yeah, that's right. At the beginning of the okay, the

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Speaker 1: beginning of the campaign.

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Speaker 3: Oh okay, I thought that was recent.

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Speaker 2: Lizzo in Detroit made the comment that she hears a

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Speaker 2: lot that if Kamala gets elected, the whole country would

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Speaker 2: be like Detroit, and she kind of fought back on

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Speaker 2: that idea, like, yeah, the whole country will be like Detroit,

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Speaker 2: resilient and strong, And that's not what people are saying.

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Speaker 3: So that's not what they mean.

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Speaker 2: They're not like, you know what the whole country will

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Speaker 2: be strong like Detroit.

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Speaker 1: Yeah, I think this is like this is one of

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Speaker 1: those moments again where Trump's adversaries are his best hour. Yeah,

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Speaker 1: because his line about Detroit was not a great idea

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Speaker 1: because you're in Michigan. People in Michigan recognized Detroit has

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Speaker 1: a lot of problems. They feel affection for it, right,

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Speaker 1: and Detroit versus everybody is the slogan. So they're going

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Speaker 1: to get their backs up about that. And then Lizzo

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Speaker 1: takes that liability and turns it into kable. Harris is

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Speaker 1: going to turn the whole country Detroit, which even Michigan

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Speaker 1: ors must go. I don't want down to be Detroit either, right.

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Speaker 3: Right, No, you're absolutely right.

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Speaker 2: You know, I'm from New York. I criticized New York

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Speaker 2: a lot. I you know, very publicly moved to Florida.

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Speaker 2: But over the weekend, like this older couple started talking

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Speaker 2: to me about New York and they started trashing it,

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Speaker 2: and I did not like it.

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Speaker 1: I was like, you are.

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Speaker 3: From New Jersey first of all, so back up. And

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Speaker 3: you know it's like I could say it, you can't

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Speaker 3: say it.

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Speaker 1: So you're exactly right. Yeah, but you know, Lizzo came

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Speaker 1: along and saved him from that particular way. Give us

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Speaker 1: a second, we'll be right back. Normally. Trump also attended

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Speaker 1: the game in a private suite. You know, he really

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Speaker 1: he stepped it up from his day jobs as a

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Speaker 1: Pride cook and went to the private suite at the

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Speaker 1: Steelers game. And this is a little bit of his reception.

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Speaker 3: Yeah, he's greeted like a conquering hero.

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Speaker 2: He really is, and he's been going into these kinds

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Speaker 2: of places getting this kind of reception.

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Speaker 3: I just it is. I look back at Republican candidates

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Speaker 3: in history and I just.

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Speaker 2: You know, thinking to Mitt Romney or John McCain or

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Speaker 2: George W. Bush, they didn't get quite this kind of

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Speaker 2: level of adoration.

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Speaker 3: It is.

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Speaker 2: It does go back to the whole thing where Trump

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Speaker 2: just does phenomenal with men, and so he goes into

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Speaker 2: these very male orientated spaces and they him and it's

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Speaker 2: it helps.

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Speaker 1: Yeah. I think, like George W. Bush would have been

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Speaker 1: the last one who had I think that sort of

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Speaker 1: guy's guy crab, right, he could go into this environment.

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Speaker 1: The first pitch post nine to eleven is a classic, but.

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Speaker 2: Worrying that first pitch, I like literally remember watching it

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Speaker 2: shortly after nine eleven and worrying he was going to

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Speaker 2: get booed. So it's you know, yes, he did amazing,

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Speaker 2: but like, for sure, the concern was there that he

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Speaker 2: was going to get Oh for sure.

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Speaker 1: Yeah, for sure. There are some some reply guys excited

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Speaker 1: about the fact that apparently in that clip that he's

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Speaker 1: being cheered and people are cheering USA. Uh, that there's

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Speaker 1: a couple of middle fingers up in the in the shot.

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Speaker 1: And you know what, I would just say, yay, free speech, right.

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Speaker 3: That's that's what has to happen.

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Speaker 2: If it was just all people shouting USA, USA, and

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Speaker 2: not a single middle finger, we'd have to wonder what

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Speaker 2: was wrong.

440
00:23:51,800 --> 00:23:55,120
Speaker 1: There, You really would. There's one more thing that happened

441
00:23:55,119 --> 00:23:58,000
Speaker 1: at the Steelers game was like a very exciting game

442
00:23:58,320 --> 00:24:02,440
Speaker 1: on the political front weekend. Yeah, generally generally, by the way,

443
00:24:02,480 --> 00:24:06,639
Speaker 1: I do not love politics mixing with my sports, but

444
00:24:06,720 --> 00:24:09,480
Speaker 1: I understand that in October of an election year, it's

445
00:24:09,520 --> 00:24:11,800
Speaker 1: basically unavoidable, so it might as well be fun the

446
00:24:11,800 --> 00:24:16,000
Speaker 1: way we do it. So this was fun. A woman

447
00:24:16,000 --> 00:24:20,320
Speaker 1: at a Steelers game rushed the field with a sign

448
00:24:20,359 --> 00:24:25,560
Speaker 1: that said Trump colon Secure border, Kamala colon open border.

449
00:24:25,680 --> 00:24:27,119
Speaker 1: Let's play a little bit of that. You'll just hear

450
00:24:27,160 --> 00:24:43,000
Speaker 1: everybody freaking out. Now. Important context, well, they got her.

451
00:24:48,040 --> 00:24:54,159
Speaker 1: Important context is she's wearing a very low cut crop

452
00:24:54,240 --> 00:24:55,520
Speaker 1: top situation.

453
00:24:56,119 --> 00:24:57,880
Speaker 3: Yeah, you can only do that in a low cut

454
00:24:57,880 --> 00:24:58,920
Speaker 3: crop top situation.

455
00:24:59,000 --> 00:25:03,680
Speaker 1: I mean fine and thigh high what looked like hound's

456
00:25:03,680 --> 00:25:06,800
Speaker 1: tooth boots. So she's clearly a Steelers fan. She's got

457
00:25:06,840 --> 00:25:10,560
Speaker 1: the Yeah, she's got the colors going on and the message.

458
00:25:10,880 --> 00:25:14,080
Speaker 1: And she she wasn't tackled brutally. It didn't look like.

459
00:25:14,040 --> 00:25:16,560
Speaker 3: It looked like they moved her to the sideline.

460
00:25:16,600 --> 00:25:18,400
Speaker 1: They were probably afraid of what would happened to the top.

461
00:25:18,480 --> 00:25:22,880
Speaker 1: It's a it was. It was holding on by a threat.

462
00:25:23,080 --> 00:25:29,280
Speaker 1: So you know what, that's another unconventional political messaging strategy.

463
00:25:29,560 --> 00:25:30,920
Speaker 3: A good time was had by all.

464
00:25:31,160 --> 00:25:34,760
Speaker 1: Look, when it's silly season, you got to embrace lean

465
00:25:34,880 --> 00:25:35,199
Speaker 1: right in.

466
00:25:35,680 --> 00:25:39,919
Speaker 2: Yes, So our last topic today is there was a

467
00:25:39,960 --> 00:25:43,919
Speaker 2: New York magazine story over the last few days and

468
00:25:44,000 --> 00:25:45,200
Speaker 2: it was about.

469
00:25:45,240 --> 00:25:47,040
Speaker 3: How are liberal?

470
00:25:47,080 --> 00:25:49,320
Speaker 2: A liberal woman wrote the story and she asked, are

471
00:25:49,320 --> 00:25:52,520
Speaker 2: we messing up our kids by making them so anti Trump?

472
00:25:52,960 --> 00:25:56,679
Speaker 2: And this is the part I quoted on my ex account.

473
00:25:56,720 --> 00:25:58,280
Speaker 2: And so I'm just gonna read a little bit of it.

474
00:25:58,600 --> 00:26:00,960
Speaker 2: But given that most family I know have spent the

475
00:26:01,040 --> 00:26:05,119
Speaker 2: last eight years blank talking Donald Trump around the dinner table,

476
00:26:05,440 --> 00:26:08,280
Speaker 2: a human caricature who, for that reason alone, seems to

477
00:26:08,280 --> 00:26:11,240
Speaker 2: be a particular interest to children, I was not surprised

478
00:26:11,280 --> 00:26:14,120
Speaker 2: to learn and a new research project sponsored by CNN

479
00:26:14,560 --> 00:26:16,520
Speaker 2: that when you talk to grade schoolers about the election,

480
00:26:16,720 --> 00:26:19,399
Speaker 2: children of dem voters are more rigid in their thinking

481
00:26:19,400 --> 00:26:23,080
Speaker 2: than children of Republican voters. Children who sympathize with Trump

482
00:26:23,720 --> 00:26:27,080
Speaker 2: are more likely to repeat misinformation, but they also express

483
00:26:27,160 --> 00:26:29,800
Speaker 2: less hesitance about entering the home of someone who doesn't

484
00:26:29,840 --> 00:26:32,960
Speaker 2: agree with their politics. The children of Democrats reacted with

485
00:26:33,040 --> 00:26:36,080
Speaker 2: stronger negativity about Trump than the children of Republicans did

486
00:26:36,119 --> 00:26:40,199
Speaker 2: about Joe Biden or Kamala Harris. I mean, yeah, we know,

487
00:26:40,760 --> 00:26:45,320
Speaker 2: we are fully aware of this, right, we know that

488
00:26:45,320 --> 00:26:45,639
Speaker 2: there's a.

489
00:26:45,720 --> 00:26:48,320
Speaker 3: Very stark divide on the misinformation line. I know.

490
00:26:48,520 --> 00:26:52,159
Speaker 2: I also I mentioned this on my Twitter, But you know,

491
00:26:52,880 --> 00:26:56,760
Speaker 2: the brainwashed children of liberals that I met in New York,

492
00:26:56,800 --> 00:26:59,439
Speaker 2: I heard them say just the most insane things, and

493
00:26:59,480 --> 00:27:02,640
Speaker 2: they're I mean, misinformation is like a really cute word

494
00:27:02,720 --> 00:27:06,040
Speaker 2: for it. So spare me, though, we're really concerned about information.

495
00:27:06,160 --> 00:27:09,359
Speaker 1: Part Oh no, I mean misinformation, as I referenced earlier,

496
00:27:09,520 --> 00:27:12,280
Speaker 1: is likely a reference to some conspiracy theory that later

497
00:27:12,320 --> 00:27:16,760
Speaker 1: became revealed as truth right, And like the conservative kids

498
00:27:16,800 --> 00:27:18,800
Speaker 1: have just gotten the bulletin on that a little bit

499
00:27:18,840 --> 00:27:22,640
Speaker 1: earlier than the liberal kids did. And look again, even

500
00:27:22,720 --> 00:27:26,560
Speaker 1: if there are things they're saying that are not true,

501
00:27:26,680 --> 00:27:29,199
Speaker 1: I'm not interested in fact checking my children twenty four

502
00:27:29,240 --> 00:27:32,640
Speaker 1: to seven and b which value would you rather them

503
00:27:32,720 --> 00:27:36,119
Speaker 1: have as they're working through facts and fiction and figuring

504
00:27:36,119 --> 00:27:37,800
Speaker 1: out how to live in the world. I would like

505
00:27:37,840 --> 00:27:40,520
Speaker 1: them to be able to be more open to encountering

506
00:27:40,560 --> 00:27:43,199
Speaker 1: people who might have these discussions with them than to

507
00:27:43,280 --> 00:27:47,520
Speaker 1: be perfectly fact checked by Daniel Dale at the breakfast table.

508
00:27:47,560 --> 00:27:48,560
Speaker 1: Like I'm just not into that.

509
00:27:48,960 --> 00:27:51,760
Speaker 2: Yes, that's exactly it. It's like, what do we want

510
00:27:51,800 --> 00:27:54,080
Speaker 2: to be teaching our kids? And I want to teach

511
00:27:54,119 --> 00:27:56,000
Speaker 2: them that, yes, they're going to encounter people who have

512
00:27:56,000 --> 00:27:58,399
Speaker 2: different opinions, but doesn't make them bad people.

513
00:27:58,560 --> 00:28:01,160
Speaker 3: I know that. Like that, that's the message that they're

514
00:28:01,160 --> 00:28:02,960
Speaker 3: getting from a lot of the media.

515
00:28:02,680 --> 00:28:04,960
Speaker 2: A lot of TikTok And you know, you can't you

516
00:28:05,040 --> 00:28:07,600
Speaker 2: can't be silent and you can't just have dinner with

517
00:28:07,640 --> 00:28:09,920
Speaker 2: your racist uncle, or you know, I show them not

518
00:28:10,240 --> 00:28:13,320
Speaker 2: even racist, but you know that's that's the line that

519
00:28:13,359 --> 00:28:16,680
Speaker 2: they get right, And I just I want to counter

520
00:28:16,760 --> 00:28:19,160
Speaker 2: that in my home and say, we know all kinds

521
00:28:19,200 --> 00:28:22,280
Speaker 2: of people, and they have all kinds of ideas, and you.

522
00:28:22,200 --> 00:28:24,080
Speaker 3: Should be able to defend your ideas.

523
00:28:24,080 --> 00:28:26,880
Speaker 2: But also you're little and you shouldn't have that many

524
00:28:26,880 --> 00:28:28,000
Speaker 2: political ideas right now.

525
00:28:28,119 --> 00:28:32,560
Speaker 1: Sox flex I did appreciate, and Carol and I sometimes

526
00:28:32,640 --> 00:28:35,240
Speaker 1: have an argument about how much credit we should give

527
00:28:35,320 --> 00:28:38,160
Speaker 1: for these things, because it's a pretty basic idea of

528
00:28:38,240 --> 00:28:41,160
Speaker 1: humanity that you should the article Mary Catherine me you

529
00:28:41,160 --> 00:28:44,040
Speaker 1: should not hate be ready to disagree with you. But

530
00:28:44,080 --> 00:28:45,120
Speaker 1: I do want to give her a little bit of

531
00:28:45,160 --> 00:28:49,240
Speaker 1: credit for just not having this insane blind spot that

532
00:28:49,400 --> 00:28:52,880
Speaker 1: so many on the left have. So she says, Democrat

533
00:28:52,960 --> 00:28:55,640
Speaker 1: parents have a bit of a golden rule problem on

534
00:28:55,680 --> 00:29:00,000
Speaker 1: our hands. We deplore the dehuman humanizing rhetoric of our opponents,

535
00:29:00,440 --> 00:29:02,680
Speaker 1: the way they sneer about cat ladies and immigrants and

536
00:29:02,720 --> 00:29:06,880
Speaker 1: trans people. So we often dehumanize our opponents right back,

537
00:29:07,040 --> 00:29:10,280
Speaker 1: calling them pure evil and dangerous. Just being able to

538
00:29:10,320 --> 00:29:13,719
Speaker 1: see that is good, we're moving in the correct direction.

539
00:29:14,000 --> 00:29:17,440
Speaker 1: She then says, we stoke fear and paranoia and then

540
00:29:17,480 --> 00:29:21,280
Speaker 1: we wring our hands about our weakening democratic institutions as

541
00:29:21,320 --> 00:29:25,840
Speaker 1: though we were above the fray. Yes, you do. That

542
00:29:25,960 --> 00:29:29,040
Speaker 1: might be something you should consider. So I do think

543
00:29:29,080 --> 00:29:33,040
Speaker 1: that people like you and I need allies like our

544
00:29:33,280 --> 00:29:36,440
Speaker 1: friend of hyphenated surnames that I'm miss I'm forgetting at

545
00:29:36,440 --> 00:29:40,560
Speaker 1: the moment in an attempt to have people for our

546
00:29:40,640 --> 00:29:43,800
Speaker 1: children to connect with in this way. Right, But man,

547
00:29:43,840 --> 00:29:45,960
Speaker 1: this does seem like the basics again, like all of

548
00:29:46,040 --> 00:29:46,920
Speaker 1: us have been saying this.

549
00:29:47,160 --> 00:29:49,520
Speaker 2: Yeah, right, Mary Kata and I were talking about how

550
00:29:49,520 --> 00:29:51,440
Speaker 2: we both kind of gave the writer of this article

551
00:29:51,480 --> 00:29:55,719
Speaker 2: credit for saying this, but it's like really basic stuff,

552
00:29:55,920 --> 00:29:58,640
Speaker 2: extremely basic, and you know, and.

553
00:29:58,640 --> 00:30:00,719
Speaker 1: Yet it reveals because I I think she'll get a

554
00:30:00,760 --> 00:30:03,000
Speaker 1: lot of blowback for this, and I will stick up

555
00:30:03,040 --> 00:30:07,000
Speaker 1: for her how far the left has moved in this

556
00:30:07,360 --> 00:30:10,800
Speaker 1: area that what they're going to tell her is like, well,

557
00:30:10,840 --> 00:30:13,240
Speaker 1: we're just teaching right and wrong. And what she's saying

558
00:30:13,640 --> 00:30:16,280
Speaker 1: is that seeing it so black and white like that

559
00:30:16,400 --> 00:30:19,160
Speaker 1: actually is harmful to everyone in the exchange and we

560
00:30:19,200 --> 00:30:22,520
Speaker 1: should not do that. But man, it might be a

561
00:30:22,560 --> 00:30:25,080
Speaker 1: tough sell in October of an election near to a

562
00:30:25,120 --> 00:30:25,960
Speaker 1: liberal audience.

563
00:30:26,120 --> 00:30:28,440
Speaker 3: That's it. That's why we even give her some credit

564
00:30:28,440 --> 00:30:30,760
Speaker 3: for being brave. But you know, just generally, I.

565
00:30:30,760 --> 00:30:33,480
Speaker 2: Think talking to your kids about politics too young, or

566
00:30:33,600 --> 00:30:36,720
Speaker 2: talking too often about politics to your kids just.

567
00:30:36,760 --> 00:30:38,960
Speaker 3: Not a good thing. You know, that makes them anxious.

568
00:30:39,520 --> 00:30:42,880
Speaker 3: You see these anxiety numbers, Like maybe it's because we've.

569
00:30:42,680 --> 00:30:45,040
Speaker 2: Given kids all this adult stuff to worry about that

570
00:30:45,080 --> 00:30:47,240
Speaker 2: they really don't need to be thinking about yet, Like

571
00:30:47,320 --> 00:30:50,920
Speaker 2: lay down your values of course at home, build your foundations,

572
00:30:50,960 --> 00:30:54,240
Speaker 2: but you know, maybe don't talk trash about the candidates.

573
00:30:53,760 --> 00:30:56,160
Speaker 3: In front of your kids like they're too little to understand.

574
00:30:56,560 --> 00:31:00,440
Speaker 1: Yeah, we do civics and sort of news awareen in

575
00:31:00,480 --> 00:31:04,520
Speaker 1: this house. We do some media literacy, we do history,

576
00:31:04,560 --> 00:31:07,560
Speaker 1: but we don't do People might be surprised we don't

577
00:31:07,640 --> 00:31:09,240
Speaker 1: do a ton of talking about politics.

578
00:31:09,240 --> 00:31:09,360
Speaker 3: Now.

579
00:31:09,400 --> 00:31:12,600
Speaker 1: My kids will overhear my husband and I talking, and

580
00:31:12,640 --> 00:31:16,200
Speaker 1: sometimes they'll ask questions and I would say probably my

581
00:31:16,320 --> 00:31:18,719
Speaker 1: reply guys, if I may reference them again, would probably

582
00:31:18,760 --> 00:31:21,520
Speaker 1: be surprised at how even handed I am talking to

583
00:31:21,640 --> 00:31:24,920
Speaker 1: my kids, because I actually want them to be able

584
00:31:24,920 --> 00:31:28,120
Speaker 1: to think it through. So the other day. Actually not

585
00:31:27,920 --> 00:31:29,560
Speaker 1: to not to do the thing where people quote their

586
00:31:29,600 --> 00:31:34,280
Speaker 1: kids on Twitter, but my second child was listening to

587
00:31:34,360 --> 00:31:36,920
Speaker 1: Kamala Harris promises in the car. It was just on

588
00:31:36,960 --> 00:31:40,640
Speaker 1: the radio, and she said, she really do all of that.

589
00:31:41,800 --> 00:31:44,600
Speaker 1: And I said, you know what, swee, that's the exact

590
00:31:45,040 --> 00:31:48,320
Speaker 1: right question. And I'd love for you to think about that, right.

591
00:31:48,400 --> 00:31:49,280
Speaker 1: That's yep.

592
00:31:49,960 --> 00:31:52,000
Speaker 3: Yeah, that's where you want them to get to.

593
00:31:52,120 --> 00:31:54,040
Speaker 2: You want them to have critical thinking. You want them

594
00:31:54,040 --> 00:31:57,040
Speaker 2: to hear something and say, you know, ask more questions

595
00:31:57,080 --> 00:32:00,400
Speaker 2: about it, or just engage deeper with it and just

596
00:32:00,600 --> 00:32:03,960
Speaker 2: oh this sounds good or this sounds bad or we believe. Actually,

597
00:32:03,960 --> 00:32:05,880
Speaker 2: the writer of this article also made fun of those

598
00:32:05,920 --> 00:32:08,480
Speaker 2: we believe signs, so she's really gonna get it.

599
00:32:08,880 --> 00:32:11,600
Speaker 1: Yeah. Yeah, everyone with that sign in the yard just

600
00:32:11,600 --> 00:32:14,160
Speaker 1: got a memo to go after her on X So

601
00:32:14,320 --> 00:32:14,840
Speaker 1: here we go.

602
00:32:15,520 --> 00:32:16,400
Speaker 3: Yeah.

603
00:32:16,440 --> 00:32:19,800
Speaker 2: Well, thanks for joining us on Normally. Normally airs Tuesdays

604
00:32:19,800 --> 00:32:23,200
Speaker 2: and Thursdays, and you can subscribe anywhere you get your podcasts.

605
00:32:23,240 --> 00:32:27,000
Speaker 2: Get in touch with us at normallythepod at gmail dot com.

606
00:32:27,120 --> 00:32:30,440
Speaker 2: Thanks for listening, and when things get weird, act normally