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Speaker 1: Welcome back to a numbers game. A Ryan Gridoski, Thank

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Speaker 1: you guys for being here. This is going to be

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Speaker 1: a fun episode. I have some very special guests, my

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Speaker 1: gen Z employees, who ladies and gentlemen. They are going

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Speaker 1: to come on the show because over the last year

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Speaker 1: working with them, I have realized that I am getting

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Speaker 1: old and that they do not understand most things that

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Speaker 1: I am talking about when I bring up a reference

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Speaker 1: to culture or music or movies, and I want to

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Speaker 1: see how much they actually know. I want to know

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Speaker 1: if they know on earth what I'm talking about. So

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Speaker 1: it's to my amusements to your music. And they've all

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Speaker 1: volunteered to do this, no one's being forced to. We're

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Speaker 1: going to make a game out of it. It's about

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Speaker 1: it's going to be about gen X and millennial culture.

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Speaker 1: So it's going to be great. And if you like

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Speaker 1: this episode, please think that liking and subscribing on the

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Speaker 1: iHeartRadio app, Apple Podcasts, Spotify, YouTube, wherever you get this podcast.

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Speaker 1: Before I get to that, I do want to break

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Speaker 1: down some important data that came out. The CDC is

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Speaker 1: finally released because of the government shutdown, finally released birth

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Speaker 1: data into our country. For the last two months, and

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Speaker 1: we have more evidence that Trump's mass deportations are working.

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Speaker 1: In September and October twenty twenty five, there were sixteen

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Speaker 1: thousand fewer births by women foreign born women, women who

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Speaker 1: were born outside of the United States than there were in

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Speaker 1: the previous September and October of twenty twenty four. The

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Speaker 1: percentage of babies born to foreign women has decreased from

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Speaker 1: twenty five percent in January of this year to twenty

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Speaker 1: three percent in October. That may not seem like a

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Speaker 1: major change, but it's a big get the complete opposite

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Speaker 1: trajectory of where things were going. Interestingly, it's decreased in

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Speaker 1: forty one states the overall birth rate of foreign born women,

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Speaker 1: and the few states that it has increased in it

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Speaker 1: is because the population of foreign born women is so

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Speaker 1: small that one or two extra children here there produces big,

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Speaker 1: you know, turnaround percentage wise. But for forty one out of

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Speaker 1: fifty states, I mean, there's this broad movement of form

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Speaker 1: and born women having less children. It's one more data

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Speaker 1: set showing that the population of form born people, especially

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Speaker 1: illegal immigrants, has declined. There's an over decline because of

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Speaker 1: this massive emphasis on self deportation. Right, President Trump hasn't

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Speaker 1: deported you know, ten million people, but millions have left.

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Speaker 1: And what I sit on this podcast months ago, and

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Speaker 1: what I said on my substack is that you would

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Speaker 1: see this as evidence in the data as time went on.

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Speaker 1: Like if you're an illegal immigrant and you're eight months

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Speaker 1: pregnant over in March or April, you're not gonna self

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Speaker 1: deport You're gonna hang around to have your baby get

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Speaker 1: American citizenship and then when they're eighteen, they could sponsor you.

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Speaker 1: It makes complete sense. But if you weren't pregnant then,

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Speaker 1: or if you were only one month or whatever the

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Speaker 1: case is, you may just go on your own say

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Speaker 1: this is not worth it. And so they're self deporting.

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Speaker 1: And there's been a few things. There's the Bureau of

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Speaker 1: Labor Statistics, there's a census. But this is just one

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Speaker 1: more data set's showing it is true. Mass deportation is working.

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Speaker 1: The illegal alien and form born population is decreasing by

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Speaker 1: about two million People's what we're guessing, so viet the

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Speaker 1: net negative population growth for the first time. It's also

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Speaker 1: evidence while you're seeing rents in some of these places

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Speaker 1: decline over last four months. This deep decline really though,

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Speaker 1: kicks in in the last three months. Right in the

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Speaker 1: last three months is where you're seeing this spike happen

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Speaker 1: as mass deportations pick up. So the early estimates is

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Speaker 1: that there's about six hundred and three thousand berths from

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Speaker 1: September to September and October twenty twenty five. That's a

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Speaker 1: three percent reduction over last year. Not immense, but it's

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Speaker 1: not easily evenly distributed. Among non Hispanic whites, it's down

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Speaker 1: one point one percent. Among American Indians, it's down four

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Speaker 1: point seven. Among Latino's big one, big illegal alien population,

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Speaker 1: it's dound five point three. Black Americans are down five

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Speaker 1: point four. Asians, also a big formal population, are down

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Speaker 1: six percent. The only group that is increasing in fertility

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Speaker 1: and births are multi racial They're up by three point

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Speaker 1: nine percent. Now. Even though berths are down slightly, the

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Speaker 1: percentages are increasing for certain groups, especially whites, because they

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Speaker 1: decline the least of all other major groups. The black

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Speaker 1: birth rate, which is heavily American born, they've been plunging

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Speaker 1: like it's almost it should be studied by sociologists. They're

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Speaker 1: very well likely going to be under twelve percent of

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Speaker 1: the overall birth next year, which is pretty shocking given

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Speaker 1: how say they were for so long in the birthdaya

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Speaker 1: going back to the nineties. And that's because of many

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Speaker 1: different things. A lot of conservatives will say it's because

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Speaker 1: of abortion, and abortion plays, you know, a part of it.

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Speaker 1: So does contraception. But there's also higher levels of college

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Speaker 1: education among Black women. College education is one of the

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Speaker 1: major determining factors of whether or not you're going to

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Speaker 1: have children later on in life versus earlier. And there's

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Speaker 1: mass decline in teen pregnancy. When I was a kid,

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Speaker 1: teen pregnancy was very common. Teen pregnancy is almost completely

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Speaker 1: like it doesn't happen almost at all anymore, especially among

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Speaker 1: Latino and Black women. That group has fallen substantially, as

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Speaker 1: has fertility across the board. And of course there is

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Speaker 1: the question of affordability, and people are putting off having

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Speaker 1: a child because it's unaffordable right now, all those things

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Speaker 1: are playing into the factors, especially among Black women and

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Speaker 1: how few children that they are having. It's a strange

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Speaker 1: phnomenon that is happening to such a degree now because

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Speaker 1: it was huge in the last two years and it's

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Speaker 1: continuing at pace. In this year, I'm going to do

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Speaker 1: a true nerd fest on the birth data for my substack.

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Speaker 1: If you guys want to check it out, a national

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Speaker 1: populist newsletter on substack. It'd be very interesting. I might

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Speaker 1: do a whole episode gearing into the end of the year.

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Speaker 1: I'm going to have a religion episode as we get

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Speaker 1: closer to Christmas time with my priest, my priest father,

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Speaker 1: and Nick who's agreed to come on the show. And

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Speaker 1: we have a few other fun episodes. But this is

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Speaker 1: I think a data set getting into really where things

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Speaker 1: are moving culturally. There's a lot of things that play

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Speaker 1: people decide to have a child. Affordability is one of them,

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Speaker 1: culture is one of them. How desirable it is to

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Speaker 1: have kids as a preference. Religions another one. So there's

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Speaker 1: a lot to kind of decipher from this information. I

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Speaker 1: can't wait to sit there and really break it down

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Speaker 1: for you guys. That'll be on my sub second I'll

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Speaker 1: probably cover for the podcast. Okay, enough of this data,

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Speaker 1: I want to get to the fun stuff. I want

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Speaker 1: to quiz my employees on what they know about millennial

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Speaker 1: and gen X culture. My gen Z employee, So stay tuned.

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Speaker 1: That's coming up next. So this is a very exciting

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Speaker 1: episode of my podcast. We have on my team, my

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Speaker 1: gen Z team, to talk about different things that happened

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Speaker 1: when I was a kid, for millennials and Gen xers

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Speaker 1: because a lot of times I've noticed over the last

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Speaker 1: year that I've been working with these guys that they

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Speaker 1: don't know what I'm talking about, and I thought this

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Speaker 1: would be fun, So we have on my show today

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Speaker 1: we have on my employees, Will Wiley, Alex and Colton.

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Speaker 1: Thank you all for being here. By way, they were

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Speaker 1: not forced to be here. They all volunteered to be here.

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Speaker 1: So the way it's going to work is this. We're

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Speaker 1: going to break down to three different categories, sixteen questions.

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Speaker 1: You guys get a point if you get it correctly

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Speaker 1: the question correctly, you lose one if you get it incorrectly.

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Speaker 1: The winner at the end gets a pro gy. So

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Speaker 1: the first category will be music. Say, I know you

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Speaker 1: guys are all excited about all these songs I picked,

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Speaker 1: by the way, were number one hits. They were not.

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Speaker 1: I didn't pick number seven on a random CD. These

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Speaker 1: were all every one of my generation and a little

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Speaker 1: older knew all of these songs. So all right, mister producer,

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Speaker 1: go to slot one of song one children, that's what

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Speaker 1: they say one was again and watch.

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Speaker 2: They don't understand.

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Speaker 3: So anyone who knows the answer, not a clue, nothing, Alex, Alex,

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Speaker 3: you listen to music.

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Speaker 2: Yeah, that's so Kate Bush.

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Speaker 1: Kate, but no it is not Kate Bush Culton anything

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Speaker 1: that you could guess. Okay, that is Tiffany. The song

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Speaker 1: is called I Think We're Alone Now. It was a

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Speaker 1: before there was Britney Spears, before there's Sprinting Carpenter, there

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Speaker 1: was there was Tiffany, biggest solo teen pop girl of

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Speaker 1: the eighties. All right, getting off to a great start.

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Speaker 1: But Alex, thank you for giving a shot. Second song,

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Speaker 1: go to it.

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Speaker 2: You want to know.

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Speaker 1: Pol really okay? Song Mark Marky Mark is Mark Wohlberg.

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Speaker 1: I was like, okay, it's the famous person. You guys

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Speaker 1: were definitely gonna know, at least to the actors before

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Speaker 1: he was an actor singer. I'm actually so happy that

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Speaker 1: you know one thing. Yeah, I've been to his burger joint.

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Speaker 1: Is that how you know who he is? Yeah? He

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Speaker 1: was a rapper and his brother was on New Kids

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Speaker 1: on the Block. I was gonna pick new Kids on

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Speaker 1: the block. But literally the song is the the only

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Speaker 1: line in the entire show, and the entire song is

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Speaker 1: just the lyrics is the name of it. So I

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Speaker 1: was like, this is gonna be too weazy. Okay, we're

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Speaker 1: down with the eighties. That was good. Vibrat sorry nineteen

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Speaker 1: ninety one, that was early nineties, all right. Third song,

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Speaker 1: go to it? Okay, huge band min nineties, two super

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Speaker 1: big albums that they came out with, banger after banger.

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Speaker 2: I've heard that before.

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Speaker 1: But you've heard that before? Where have you heard that?

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Speaker 2: Well? In like restaurants?

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Speaker 3: MM.

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Speaker 1: So your parents just didn't tell you when they failed you. Okay,

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Speaker 1: what anybody? No, anybody else want to take a stab

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Speaker 1: at that cultivat like Aha it is not Aha No.

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Speaker 1: Aha was from the eighties and they were a one

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Speaker 1: hit wonder. This band had a bunch of other heads.

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Speaker 1: Alex anything this from Ace of Bass. Yes, that is true,

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Speaker 1: that is As of Bass. I saw the sign all right, Alex,

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Speaker 1: look at you. Alex likes music. So I figured, okay,

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Speaker 1: this is gonna be an Alex come at the moment

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Speaker 1: right now. So all right, uh three more, here we go.

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Speaker 1: This was one of my favorite favorite songs. I was

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Speaker 1: a kid. It was a one hit wonder, but it

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Speaker 1: was like a chart topper and it's a banger. So okay,

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Speaker 1: next one's lot four. Have a history of ALM sure

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Speaker 1: gets one days you looked at me crazy, five days

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Speaker 1: you tackled me ones on both Monday, three the afternoon

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Speaker 1: my fault too soon, you said you've forgiven me.

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Speaker 2: So you say your.

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Speaker 1: Song, all right, give it a shot. Yeah, Alex that

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Speaker 1: one week? Yeah, do you know the artists something ladies,

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Speaker 1: bare naked ladies. Wow, Alex, there you go, very excited.

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Speaker 1: All right, very cool. All right, we got alex Is

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Speaker 1: on a roll right now. Okay, all right, two more.

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Speaker 1: We're getting later into the so this is like the

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Speaker 1: two thousand now, so you guys were all alive at

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Speaker 1: this point, which is I guess a musk for anyone

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Speaker 1: to know his music. Okay, I'm sure everyone's gonna know

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Speaker 1: the next one, but go ahead, let me know if

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Speaker 1: you know the remember that an aged man?

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Speaker 2: Okay, maybe street boys. Bye bye bye.

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Speaker 1: That is not bye bye bye. Literally, the words were

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Speaker 1: not bye bye bye like you just heard them, and

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Speaker 1: the old lyrics of bye bye bye are those words?

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Speaker 1: I mean, how did you. Oh my god, Wiley, like,

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Speaker 1: what are you talking about? No, no, it was not.

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Speaker 1: In fact, the name of the band is in the video,

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Speaker 1: but that was in men's confidence. I appreciate that. Anybody.

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Speaker 2: Yeah, isn't it? Yes? Okay? I always looks way different now,

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Speaker 2: no age, okay, But.

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Speaker 1: What the name of the song? Do you ever know

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Speaker 1: this song?

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Speaker 2: It was?

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Speaker 1: It was a girlfriend It is not girl for that

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Speaker 1: was by Justin Bieber, an entirely different person.

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Speaker 2: No, it's.

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Speaker 1: No, it's not okay, So it was it's gonna be made.

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Speaker 1: But all right, we're no, you weren't okay. Last song,

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Speaker 1: last part of the music thing. This was in the

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Speaker 1: mid two thousands, another one hit wonder but definitely when

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Speaker 1: like emo ish rock music was a big thing in

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Speaker 1: the two thousands. This is what I listened to. Not

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Speaker 1: this long, but you know, I listened to emo throughout

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Speaker 1: my entire teen years. I had a lot of Guideliner

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Speaker 1: going on. This was the biggest song of that genre.

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Speaker 1: So last one, go ahead, Wait, we got the song,

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Speaker 1: go ahead? What's that? What is it? Alex? There you go? Okay?

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Speaker 1: So Alex knew, yeah, that was the biggest one. I

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Speaker 1: loved emo music like but there's mostly didn't ever chart

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Speaker 1: didn't go anywhere, so I couldn't like, I couldn't bring

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Speaker 1: up like Motion City soundtrack recthing. You guys have never

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Speaker 1: heard of it, So okay, leave in the first round,

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Speaker 1: Wiley's that negative one. Alex is at negative one, negative one,

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Speaker 1: and Alex is at negative one as well, so and

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Speaker 1: Will and Colton are tied for zero. So let's hopefully

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Speaker 1: they bring up something on the board whatsoever. Okay, So

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Speaker 1: these are some big movies and I wump movies and

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Speaker 1: TV shows in together. Right, I'm gonna describe it. I'll

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Speaker 1: tell you some either director or actor was in it.

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Speaker 1: Tell me if you can name it, and then let

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Speaker 1: me know if you've ever seen it. So the first

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Speaker 1: one is about it's there's a huge movie nineteen eighty

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Speaker 1: five by John Hughes. Five Teenagers are Stuck in Detention.

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Speaker 1: It is a classic staples of gen X eighties movies.

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Speaker 1: Five teenager. You go, okay, well we'll go Alex. You

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Speaker 1: go first, because you raise your hand first.

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Speaker 2: The breakfast club.

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Speaker 1: There you go, Okay, that was Did you know that?

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Speaker 3: Will?

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Speaker 2: Yeah?

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Speaker 1: You did? Okay, all right, so at least you know Colton,

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Speaker 1: did you ever see any movies.

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Speaker 2: Yeah, I've seen Breakfast Club before. I couldn't think of

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Speaker 2: the name. I was taking detention or something, but it

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Speaker 2: was something.

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Speaker 1: Okay, all right, so this is all right, classic staple

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Speaker 1: eighties movie. I think everyone has probably seen at this point.

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Speaker 1: It's plays on like TBS a lot or something like that.

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Speaker 1: All right, next question. This was a nineteen ninety five movie.

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Speaker 1: It was a retelling of Jane Austen's book Emma. It

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Speaker 1: starred Alicia Silverstone, who tries to out of two teachers

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Speaker 1: who are falling in love while she's falling in love

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Speaker 1: with her stepbrother. Classic classic nineties movie, Lisia Silverstone. Cast hint,

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Speaker 1: what can we get more? Cast hints Alicia Silverstone. She's

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Speaker 1: the main part in it. Okay, Okay, I don't know.

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Speaker 1: Brittany Murphy is also in it, but she's passed away

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Speaker 1: since then. Anyone, guests take a guest take a stab

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Speaker 1: at high school nineties? You know, as If was like

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Speaker 1: a huge line in the movie that became something rolling

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Speaker 1: with the homies anything.

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Speaker 2: Oh, I've heard people say as If before.

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Speaker 1: No, that's just in general conversation. You've probably heard that,

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Speaker 1: but like, have you like it's pink. No, it's not

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Speaker 1: bringing the pink, but I get I thank you for trying.

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Speaker 1: Anyone else called in Anything nothing Okay, it's called clueless.

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Speaker 1: Oh have you ever heard that moving? Yes, you've have

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Speaker 1: you seen that moving? That's more like that's it. I

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Speaker 1: know it's it's but it's a nineties like it's never mind. Okay,

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Speaker 1: all right. This is the TV show from the nineties.

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Speaker 1: Hope it's done better. It's a huge classic that millennials

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Speaker 1: and Gen X was watched.

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Speaker 2: Right.

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Speaker 1: It was about the main characters, a guy named Corey,

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Speaker 1: his best friend Shawn, and his girlfriend Topanga as they

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Speaker 1: went through high school and college and marriage together. This

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Speaker 1: was on first seven seasons, huge, huge growing up show.

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Speaker 2: Freaks and Geeks.

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Speaker 1: No, okay, but freaking geeks. I'm actually even shocked. You

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Speaker 1: know the name of so that's a big deal. In

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Speaker 1: Anything it was Musty No, nothing will.

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Speaker 2: Three high schoolers. No, every time you say high school,

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Speaker 2: I'm gonna guest breakfast club.

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Speaker 1: Okay, but that's not the answer. All the time. Alex

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Speaker 1: is a boy beats World. It is boy meets World Alex. Yes, okay,

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Speaker 1: you never heard of Boy Meets World. They had a

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Speaker 1: sequel cold Girl meets World but his daughter, Yeah, Ben Savage,

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Speaker 1: I was to remember it. Okay, all right, I figured

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Speaker 1: out right, there's another TeV. This show was what I

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Speaker 1: watched every day before he was a superstar. I'm breaking bad.

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Speaker 1: Brian Cranston played a dysfunctional suburban dad named Hal who

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Speaker 1: tried to make ends meet with his working class wife

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Speaker 1: Lois and their four kids, Francis, Reyese, Malcolm, and Dewey. Okay, Wiley,

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Speaker 1: go ahead, Actually, okay, I was gonna give it.

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Speaker 2: Well.

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Speaker 1: Did you guys know that show.

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Speaker 2: Him in the middle? Yeah, oh yeah, oh yeah.

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Speaker 1: Did you know that Will?

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Speaker 2: Yeah?

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Speaker 1: Oh you did? Okay, Wow, all right, good, I grew

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Speaker 1: up watching that. All right. Last movie, last one from

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Speaker 1: this category. It's a millennial teen movie. It's a coming

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Speaker 1: of age masterpiece where a character named fol gets a

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Speaker 1: fake ID called the name McLevin. Okay, we'll go.

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Speaker 2: Ahead, and super bad.

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Speaker 1: There you go. I'm gonna have Will. One can't get

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Speaker 1: faster with the questions, Colton, did you see that movie?

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Speaker 2: No, I've never seen mc loveth or never seen it.

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Speaker 1: Okay, it's a good one. It's it's definitely it's got

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Speaker 1: a lot of like Emma Stones first movie. It's a

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Speaker 1: cool mid two thousand's definitely millennial movie. All Right, I'm

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Speaker 1: gonna do five questions on world events. This is things

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Speaker 1: that definitely steeped in gen X and millennial culture that

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Speaker 1: we all remember, like it where we were, what like

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Speaker 1: what happened? All right? This is the first one, and

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Speaker 1: this is I wasn't even alive for this, but it was.

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Speaker 1: I even know about it because it was so famous.

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Speaker 1: In nineteen eighty six, a little girl, an eighteen month

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Speaker 1: old girl, fell down a fell down a well, and

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Speaker 1: for fifty eight hours, the entire media covered her rescue.

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Speaker 1: What was that baby girl's name? Yes, it was literally

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Speaker 1: one of the first news stories that was ever breaking

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Speaker 1: news where it was covered minute by minute. Before there

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Speaker 1: was like CNN and everyone covered everything minute by minute.

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Speaker 1: This was like the breaking news. Are they going to

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Speaker 1: get this little girl out of the well? This huge

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Speaker 1: America story was in Texas, not that any of you

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Speaker 1: guys are in Texas, but now nothing you ever heard

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Speaker 1: of baby Jessica. Guys, it was huge. I can't even

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Speaker 1: I can't emphasize this, but like it was a big,

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Speaker 1: big deal, all right. In nineteen ninety eight, when the

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Speaker 1: world was shocked when this Spice Girl announced that she

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Speaker 1: was going to leave the band after just two albums

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Speaker 1: and a tour in a movie? Who was the Spice

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Speaker 1: Girl that broke up the band? And it made go ahead? Will?

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Speaker 2: It's not Ice Spice, is it?

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Speaker 1: Ice Spice is not a person. If that is a person,

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Speaker 1: it is not a person in a band.

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Speaker 2: Will.

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Speaker 1: I don't know who Ice Spice even is? Is that

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Speaker 1: a rap?

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00:20:01,160 --> 00:20:02,760
Speaker 2: They're at contemporary artist?

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Speaker 1: Yeah, and you think that they were around in the

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Speaker 1: nineties and the Spice Girls. Okay, now it wasn't Cole

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Speaker 1: Alex go Ahead and what was it?

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Speaker 2: Ginger?

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Speaker 1: It was Ginger Spice. Alex is like the one who's

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00:20:14,640 --> 00:20:16,760
Speaker 1: in there and throwing stuff? Colton. Did you ever hear

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Speaker 1: of the Spice Girls?

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Speaker 2: I've heard of them?

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00:20:19,160 --> 00:20:21,280
Speaker 1: Yes, okay, all right, well she was the one that

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Speaker 1: broke up the band, all right. In nineteen ninety seven

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Speaker 1: and two thousand, Camel and Marlborough cigarettes retired their classic

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Speaker 1: brand ambassadors. Can you name either one of them? Go Ahead?

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Speaker 2: Will was one of them, the Marlborough Man, the Cowboy.

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Speaker 1: Yes, Marlboro Man and Joe Cammel. Those were like the

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Speaker 1: two we used to be able to advertise on cigarettes

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Speaker 1: back in the day. Like not on television because that

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00:20:45,920 --> 00:20:48,240
Speaker 1: was even before me, but like on billboards you could

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Speaker 1: advertise and Joe Camel and Marlboro Man were like the

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00:20:51,760 --> 00:20:54,000
Speaker 1: image of like the cowboy and like cool Joe Cammel

379
00:20:54,040 --> 00:20:56,439
Speaker 1: if you smoked cigarettes, which you know, we all know

380
00:20:56,480 --> 00:21:01,040
Speaker 1: you were cool for smoking cigarettes. All right. Last two.

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00:21:01,720 --> 00:21:04,159
Speaker 1: Before there was Facebook, there was MySpace. And when you

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00:21:04,200 --> 00:21:07,719
Speaker 1: made a MySpace account, the creator was your first friend.

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Speaker 1: Who was the creator of MySpace? What was his first name?

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Speaker 1: He would go at will was it? It is not

385
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Speaker 1: Joe Carlton. I feel like this is the one that

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Speaker 1: you're gonna get now, Alex.

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00:21:19,680 --> 00:21:20,399
Speaker 2: There was a Tom.

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Speaker 1: Yes it was Tom. Yes, Tom was your first friend

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00:21:24,680 --> 00:21:27,520
Speaker 1: on Facebook. On MySpace when you added friends and there

390
00:21:27,560 --> 00:21:30,360
Speaker 1: was a top eight and people would fight over who

391
00:21:30,440 --> 00:21:34,240
Speaker 1: was in whose top eight friendless it was Anarchames. All right,

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Speaker 1: this is I've like given up on everybody. This is

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Speaker 1: the last question. And this is like still like prominent

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Speaker 1: to today. In nineteen ninety nine, June nineteen ninety nine,

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Speaker 1: the world changed when a nineteen and twenty year old

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Speaker 1: launched a peer to peer sharing website with the logo

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00:21:49,640 --> 00:21:52,480
Speaker 1: of a cat with headphones. It became the first website

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Speaker 1: that millennials could illegally download music and share it. The

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00:21:56,040 --> 00:21:59,440
Speaker 1: game the idea of streaming go at Will was it napster?

400
00:22:00,160 --> 00:22:05,720
Speaker 1: Was Napster? All right? I am shocked by Like, Colton,

401
00:22:06,800 --> 00:22:08,280
Speaker 1: what were you doing in the night? I guess you

402
00:22:08,320 --> 00:22:11,120
Speaker 1: were barely alive in the nineties. I don't know, Colton.

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Speaker 1: You had zero Wiley, you had negative one Will, you

404
00:22:16,840 --> 00:22:20,480
Speaker 1: had zero Alex. This is like the only hope for

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00:22:20,560 --> 00:22:25,520
Speaker 1: somebody to actually have Alex. You had two guys, two

406
00:22:25,560 --> 00:22:28,359
Speaker 1: out of sixteen. Okay, Alex is the winner. I appreciate

407
00:22:28,400 --> 00:22:33,679
Speaker 1: you all for doing this kind it kind of it

408
00:22:33,720 --> 00:22:38,000
Speaker 1: was worse than I thought. I'm not gonna lie. It

409
00:22:38,040 --> 00:22:39,639
Speaker 1: was the worse than I thought it was. I'm not

410
00:22:39,680 --> 00:22:41,720
Speaker 1: gonna lie about it. But I am happy that I

411
00:22:42,119 --> 00:22:46,520
Speaker 1: at least tried. I'm gonna start instituting a movie and

412
00:22:46,640 --> 00:22:48,880
Speaker 1: music song of the month for any one of my employees,

413
00:22:48,920 --> 00:22:51,160
Speaker 1: so anyone knows what I'm talking about. But I appreciate

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00:22:51,200 --> 00:22:52,639
Speaker 1: you guys, and let's leap for doing it. Thank you

415
00:22:52,680 --> 00:22:59,040
Speaker 1: for coming on, Thank you, Ryan, Hi, congrats to Alex. Hey,

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Speaker 1: we'll be right back after this. Now it's time for

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Speaker 1: the Ask Me Anything segment of this podcast. If you

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00:23:06,359 --> 00:23:08,320
Speaker 1: want a part of the Ask Me Anything segment, email

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00:23:08,400 --> 00:23:11,080
Speaker 1: me Ryan at Numbers Game podcast dot com. That's Ryan

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Speaker 1: at numbers Plural Game podcast dot com. And I think

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00:23:13,640 --> 00:23:15,720
Speaker 1: it's only one today I have. I'm very backed up,

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00:23:15,760 --> 00:23:17,520
Speaker 1: I know it. So if you've emailed me, I will

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Speaker 1: get to your question on this podcast before the end

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Speaker 1: of the year. Stay tuned, please stay, you know, keep listening.

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Speaker 1: I know that I've I know, I probably ten or

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Speaker 1: eleven I silin did to get to for the end

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Speaker 1: of the year, and they will all be answered. This

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Speaker 1: one comes from Tom. Tom says I'm a longtime listener,

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Speaker 1: but first time caller from Australia. Thank you Tom for

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Speaker 1: listening to this podcast for only from Australia. That's wonderful.

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Speaker 1: Thank you keep up the great work. I've been excited

432
00:23:40,800 --> 00:23:43,640
Speaker 1: listening to your podcast. For most Australian coverage of American

433
00:23:43,680 --> 00:23:46,440
Speaker 1: politics is just a slop ripped straight from New York Times,

434
00:23:46,520 --> 00:23:49,399
Speaker 1: MSNBC and CNN. Is not the truth. I actually know

435
00:23:49,520 --> 00:23:51,760
Speaker 1: a bit about Australian politics. I covered it in my

436
00:23:51,800 --> 00:23:53,080
Speaker 1: book that I wrote. A couple of years ago, and

437
00:23:53,160 --> 00:23:55,480
Speaker 1: I followed Australia had an election where the left one

438
00:23:55,560 --> 00:23:57,840
Speaker 1: a big, big victory, but also the right was very

439
00:23:57,840 --> 00:24:01,760
Speaker 1: splintered and their leadership wasn't that song? Okay, since apologies

440
00:24:01,760 --> 00:24:04,240
Speaker 1: and advances, I'm sure you've bombarded with questions in this

441
00:24:04,359 --> 00:24:06,680
Speaker 1: nature that will be over litigated over the coming years.

442
00:24:06,760 --> 00:24:10,040
Speaker 1: My question relates to the twenty twenty eight presidential election. Obviously,

443
00:24:10,160 --> 00:24:12,600
Speaker 1: usual coveys apply, it's still three years away and a

444
00:24:12,640 --> 00:24:15,080
Speaker 1: lot can happen between now and then. With that in mind,

445
00:24:15,119 --> 00:24:18,160
Speaker 1: I was wondering, from an electoral strategy standpoint in twenty

446
00:24:18,200 --> 00:24:20,679
Speaker 1: twenty eight, where do you see as the greatest opportunity

447
00:24:20,680 --> 00:24:22,800
Speaker 1: and threats for the Republican nomine a JD. Evans or

448
00:24:22,800 --> 00:24:25,440
Speaker 1: whoever it is, and vice versa for the Democrats. Keep

449
00:24:25,520 --> 00:24:27,720
Speaker 1: up the great work, tom, Okay, twenty twenty eight, it's

450
00:24:27,720 --> 00:24:30,719
Speaker 1: a very important presidential election, not we only deciding who

451
00:24:30,800 --> 00:24:32,440
Speaker 1: the president is going to be, but because it will

452
00:24:32,440 --> 00:24:35,680
Speaker 1: be the last presidential election where the Roust Belt will

453
00:24:35,680 --> 00:24:39,000
Speaker 1: seriously matter. Not that it won't matter at all, but

454
00:24:39,880 --> 00:24:42,160
Speaker 1: for the last few decades you needed to win several

455
00:24:42,200 --> 00:24:44,280
Speaker 1: Rostbelt states in order to sit there and get the

456
00:24:44,320 --> 00:24:47,119
Speaker 1: presidency or win a state like Virginia like George W.

457
00:24:47,280 --> 00:24:50,640
Speaker 1: Bush did. That's not going to be the case come

458
00:24:50,720 --> 00:24:54,520
Speaker 1: twenty thirty two. Because of how people are moving. States

459
00:24:54,520 --> 00:24:56,680
Speaker 1: like Florida and Texas are going to gain at least

460
00:24:56,960 --> 00:25:01,520
Speaker 1: eight more electoral College votes, while californ New York, Illinois

461
00:25:01,560 --> 00:25:04,800
Speaker 1: will lose. There will be enough electoral college votes in

462
00:25:04,800 --> 00:25:08,800
Speaker 1: the states of North Carolina, Georgia, Florida, Texas, Arizona, and

463
00:25:08,920 --> 00:25:13,800
Speaker 1: Nevada combined to offset all the other states where they

464
00:25:13,840 --> 00:25:15,879
Speaker 1: will be only swing states that matter come twenty thirty

465
00:25:15,880 --> 00:25:18,520
Speaker 1: two and afterwards. So as long as all those states

466
00:25:18,560 --> 00:25:22,280
Speaker 1: stay read, a Republican candidate would only need to win

467
00:25:22,320 --> 00:25:25,200
Speaker 1: the solid read state of Ohio, and this is extremely

468
00:25:25,359 --> 00:25:27,960
Speaker 1: likely right now for president. They won't have to win Wisconsin,

469
00:25:28,160 --> 00:25:31,080
Speaker 1: they won't have to win Pennsylvania or Michigan, the long

470
00:25:31,119 --> 00:25:35,520
Speaker 1: shot states of New Hampshire, Minnesota or wherever. It will

471
00:25:35,640 --> 00:25:38,280
Speaker 1: just be sunbelt, which will change. Also the politics of

472
00:25:38,520 --> 00:25:41,159
Speaker 1: things like tariffs and things like manufacturing states that are

473
00:25:41,240 --> 00:25:44,239
Speaker 1: very heavily dependent on it historically versus ones that are

474
00:25:44,280 --> 00:25:46,400
Speaker 1: not heavily dependent on it, So twenty twenty eight will

475
00:25:46,440 --> 00:25:49,520
Speaker 1: matter for that reason for Republicans. I mean, obviously they're

476
00:25:49,560 --> 00:25:51,800
Speaker 1: going to start working with the Trump coalition. They're going

477
00:25:51,840 --> 00:25:54,160
Speaker 1: to start working with what states Trump wanted to see

478
00:25:54,240 --> 00:25:57,440
Speaker 1: if they can keep any on the board. With inflation

479
00:25:57,600 --> 00:26:01,080
Speaker 1: and with the housing issue and with just the cost

480
00:26:01,119 --> 00:26:04,840
Speaker 1: of living, States like Nevada, states like Pennsylvania, Michigan, and

481
00:26:05,400 --> 00:26:09,120
Speaker 1: Wisconsin will all be on the ballot. Also, the demographic

482
00:26:09,240 --> 00:26:13,080
Speaker 1: changes in Georgia will play a very big hand. Georgia's

483
00:26:13,119 --> 00:26:18,000
Speaker 1: population Black population has grown substantially, and that especially in

484
00:26:18,040 --> 00:26:23,640
Speaker 1: the Atlanta suburbs, and that will alter how competitive it stays.

485
00:26:24,160 --> 00:26:27,800
Speaker 1: It's very clearly trending to the left. How long does

486
00:26:27,800 --> 00:26:30,040
Speaker 1: a trend to the left. How much of the rural

487
00:26:30,080 --> 00:26:32,840
Speaker 1: black vote which has been trending to the rights from

488
00:26:32,880 --> 00:26:34,639
Speaker 1: a few parts of Georgia that's been trending the right,

489
00:26:34,680 --> 00:26:38,000
Speaker 1: the Black belt of Georgia. Can they move that over more?

490
00:26:38,040 --> 00:26:42,280
Speaker 1: Can they have turnout increases more? Southern Georgia is votes,

491
00:26:42,400 --> 00:26:45,440
Speaker 1: has a lot more vote potential than Northern Georgia does,

492
00:26:45,480 --> 00:26:48,960
Speaker 1: Like the Marjorie Taylor Green District, There's not I mean,

493
00:26:49,000 --> 00:26:51,640
Speaker 1: Republicans can do maybe a little better, maybe a hair better,

494
00:26:51,680 --> 00:26:55,080
Speaker 1: but they've basically maxed out of that area. Southern Georgia

495
00:26:55,119 --> 00:26:56,879
Speaker 1: is where they have to sit there and grab the

496
00:26:56,960 --> 00:26:59,119
Speaker 1: votes from to offset Atlanta, so that would be a problem.

497
00:26:59,440 --> 00:27:03,320
Speaker 1: North carol is changing dramatically as people move there in big,

498
00:27:03,320 --> 00:27:05,359
Speaker 1: big waves. North Carolina, I think is the electors like

499
00:27:05,400 --> 00:27:08,080
Speaker 1: five or six percent Hispanic now, which is interesting. The

500
00:27:08,080 --> 00:27:10,920
Speaker 1: Research Triangle has brought a lot of college educated people there.

501
00:27:10,960 --> 00:27:13,720
Speaker 1: Appalachia State has changed the western part of that state.

502
00:27:14,359 --> 00:27:17,480
Speaker 1: So North Carolina will continue to be competitive going forward.

503
00:27:17,560 --> 00:27:20,080
Speaker 1: It will definitely a state to pay attention to, especially

504
00:27:20,080 --> 00:27:23,679
Speaker 1: since they have a democratic governor, a lot of Democrats

505
00:27:23,280 --> 00:27:26,800
Speaker 1: in you know, in state wide office positions that will

506
00:27:26,840 --> 00:27:30,280
Speaker 1: try to move and influence the state. And then there's

507
00:27:30,320 --> 00:27:33,159
Speaker 1: the three big restpel states, which is Pennsylvania, Michigan, and

508
00:27:33,240 --> 00:27:37,920
Speaker 1: Minnesota and Wisconsin. Trump won Wisconsin by less than one

509
00:27:37,920 --> 00:27:39,960
Speaker 1: point he and won the other two by less than

510
00:27:39,960 --> 00:27:43,040
Speaker 1: two points. The Muslim vote in Michigan will play an

511
00:27:43,080 --> 00:27:46,600
Speaker 1: immensely important role in this election, as will be the

512
00:27:46,680 --> 00:27:51,320
Speaker 1: suburban vote. Suburban women have historically not liked Donald Trump

513
00:27:51,359 --> 00:27:55,880
Speaker 1: that much. A lot of historically moderate places like western Michigan,

514
00:27:55,920 --> 00:27:59,840
Speaker 1: Big Dutch Country have not liked Trump that much can

515
00:28:00,119 --> 00:28:03,520
Speaker 1: JD reverse some of those trends a little bit, like

516
00:28:03,560 --> 00:28:06,760
Speaker 1: in the Dutch area of western Michigan Kenny Cold Onto

517
00:28:06,800 --> 00:28:10,680
Speaker 1: Bucks County, which is a critical swing county, while while

518
00:28:10,680 --> 00:28:13,080
Speaker 1: bringing out people like an eerie Pennsylvania or in the

519
00:28:13,119 --> 00:28:16,879
Speaker 1: suburbs of Pittsburgh in the working working class parts of

520
00:28:16,880 --> 00:28:19,040
Speaker 1: the state, working class white parts of the state. One

521
00:28:19,080 --> 00:28:22,160
Speaker 1: interesting about Pennsylvania that will be different is that Pennsylvania

522
00:28:22,200 --> 00:28:27,800
Speaker 1: instituted a mandatory voter registration when you renew your license.

523
00:28:28,240 --> 00:28:31,400
Speaker 1: So in twenty sixteen when Trump ran, there were millions

524
00:28:31,600 --> 00:28:34,600
Speaker 1: and I'm talking millions of non college educated whites who

525
00:28:34,680 --> 00:28:38,880
Speaker 1: were not registered to vote in Pennsylvania. That is starting

526
00:28:38,880 --> 00:28:42,080
Speaker 1: to pick up substantially as they're registering to vote. They're

527
00:28:42,120 --> 00:28:45,320
Speaker 1: kind of forced to register to vote. So there'll be

528
00:28:45,360 --> 00:28:48,000
Speaker 1: a lot more there for Trump, for JD, or for

529
00:28:48,080 --> 00:28:50,880
Speaker 1: Rubio for whoever, to really pick off of like the

530
00:28:50,920 --> 00:28:55,200
Speaker 1: base of the Republican Party. As for Democrats, look, democrats

531
00:28:55,840 --> 00:28:58,680
Speaker 1: essential problem is that they've had an issue turning out

532
00:28:58,760 --> 00:29:02,600
Speaker 1: black voters the way that Obama did for obvious reasons,

533
00:29:02,680 --> 00:29:05,280
Speaker 1: right he was the first black president, but even at

534
00:29:05,400 --> 00:29:08,360
Speaker 1: bringing them out at Joe Biden levels, was proven difficult

535
00:29:08,360 --> 00:29:12,160
Speaker 1: for both Hillary and Kamala. Having to re engage black

536
00:29:12,240 --> 00:29:15,880
Speaker 1: voters will be a critical part of whoever the Democratic nominees'

537
00:29:15,960 --> 00:29:18,560
Speaker 1: strategy is, as well as the question of if the

538
00:29:18,600 --> 00:29:22,440
Speaker 1: Democrats pick a far left candidate. Many believe that they'll

539
00:29:22,480 --> 00:29:24,760
Speaker 1: just gin up the base and that will be enough

540
00:29:24,800 --> 00:29:26,880
Speaker 1: to sit there and bring out anybody. But for as

541
00:29:26,880 --> 00:29:29,800
Speaker 1: many times as that's been successful, it's been as unsuccessful

542
00:29:29,920 --> 00:29:33,320
Speaker 1: many in dozens of other cases, and these very typically

543
00:29:33,920 --> 00:29:37,680
Speaker 1: swing but conservative areas will be a question. You know,

544
00:29:37,720 --> 00:29:40,920
Speaker 1: Barack Obama was a very important figure in our history

545
00:29:40,920 --> 00:29:43,239
Speaker 1: because the first black president, but there were a lot

546
00:29:43,280 --> 00:29:47,360
Speaker 1: of demographics waiting for that to happen. I don't think

547
00:29:47,360 --> 00:29:50,880
Speaker 1: that those demographics are necessarily waiting for the first gay president,

548
00:29:51,000 --> 00:29:53,719
Speaker 1: or for the first Latina president, or for the first

549
00:29:53,800 --> 00:29:56,840
Speaker 1: you know a lot of other people in groups interest groups.

550
00:29:56,960 --> 00:29:59,960
Speaker 1: I would probably be willing to bet that the Democrats

551
00:30:00,040 --> 00:30:03,440
Speaker 1: will not have a woman as their nominee in twenty

552
00:30:03,480 --> 00:30:06,280
Speaker 1: twenty eight. I'm just guessing. I don't obviously know ahead

553
00:30:06,320 --> 00:30:08,920
Speaker 1: of time. I think the one big question for Democrats

554
00:30:09,080 --> 00:30:12,640
Speaker 1: for their vulnerabilities going forward is where do Democrats start

555
00:30:12,680 --> 00:30:14,760
Speaker 1: their election I've talked about this over and over and

556
00:30:14,840 --> 00:30:18,680
Speaker 1: over again. If Democrats start the election process, the primary

557
00:30:18,720 --> 00:30:23,000
Speaker 1: process in Iowa, New Hampshire, Nevada, any of those places,

558
00:30:24,040 --> 00:30:26,560
Speaker 1: the opening will be there for Bernie Sanders and AOC

559
00:30:26,720 --> 00:30:29,640
Speaker 1: are very very far left socialist to win the nomination

560
00:30:29,800 --> 00:30:32,680
Speaker 1: because those are district those are states that the Democratic

561
00:30:32,760 --> 00:30:35,040
Speaker 1: voters in those states are more willing to move to

562
00:30:35,040 --> 00:30:37,760
Speaker 1: the far left. If it starts in South Carolina, if

563
00:30:37,800 --> 00:30:39,920
Speaker 1: it starts in Georgia, if they start in the Deep South,

564
00:30:40,000 --> 00:30:43,960
Speaker 1: those black majority voting states in the Democratic primary, they

565
00:30:44,040 --> 00:30:47,440
Speaker 1: vote for the more conservative candidate in almost every single case.

566
00:30:47,680 --> 00:30:49,840
Speaker 1: That is, the states that gave us Bill Clinton and

567
00:30:49,880 --> 00:30:54,160
Speaker 1: gave us Joe Biden, and you know, have always kind

568
00:30:54,200 --> 00:30:57,400
Speaker 1: of ticked to the center of the party. They don't

569
00:30:57,640 --> 00:31:00,160
Speaker 1: like progressives, and they're certainly not going to vot for

570
00:31:00,160 --> 00:31:02,600
Speaker 1: people to judge who's pulling out a zero percent with

571
00:31:02,680 --> 00:31:05,840
Speaker 1: black voters. I think all of that is interesting. I

572
00:31:05,880 --> 00:31:07,800
Speaker 1: would like to sit there and see you how that

573
00:31:08,040 --> 00:31:10,680
Speaker 1: how that shakes out. Obviously, we have a long time.

574
00:31:10,800 --> 00:31:12,320
Speaker 1: We don't know where the economy is going to be.

575
00:31:12,360 --> 00:31:15,320
Speaker 1: We don't know where if there's an international incident hopefully

576
00:31:15,360 --> 00:31:17,240
Speaker 1: there won't be. We don't know if there'll be, you know,

577
00:31:17,320 --> 00:31:19,520
Speaker 1: another COVID or whatever the case is. We don't. There's

578
00:31:19,560 --> 00:31:21,800
Speaker 1: a lot we don't know. It's hard to sit there

579
00:31:21,840 --> 00:31:24,080
Speaker 1: and play out, you know, which if there's gonna be

580
00:31:24,120 --> 00:31:26,080
Speaker 1: a surprise, we don't. We have no clue there will

581
00:31:26,080 --> 00:31:28,280
Speaker 1: be a surprise. But that being said, I think that

582
00:31:28,360 --> 00:31:30,680
Speaker 1: it's very likely that the traditional swing states will be

583
00:31:30,800 --> 00:31:32,960
Speaker 1: most of the effort that everyone will spend their time on,

584
00:31:33,080 --> 00:31:35,560
Speaker 1: and JD or Rubio, whoever it will be, will have

585
00:31:35,600 --> 00:31:38,160
Speaker 1: to pick off one of the russ Belt states. And

586
00:31:38,200 --> 00:31:40,360
Speaker 1: that's why I think Trump was in Pennsylvania over the

587
00:31:40,360 --> 00:31:44,280
Speaker 1: weekend or over the week rather, and I expect that

588
00:31:44,480 --> 00:31:47,800
Speaker 1: both Trump and every perspective Republican will spend a lot

589
00:31:47,840 --> 00:31:50,960
Speaker 1: of time in Pennsylvania. Pennsylvania is the titular swing state.

590
00:31:51,120 --> 00:31:54,200
Speaker 1: So that's that. Hope you enjoy this podcast. Please like

591
00:31:54,240 --> 00:31:57,560
Speaker 1: and subscribe in the iHeartRadio app, Apple Podcasts, Spotify, wherever

592
00:31:57,560 --> 00:32:00,200
Speaker 1: you get your podcasts, and please subscribe on YouTube. I'm

593
00:32:00,200 --> 00:32:02,720
Speaker 1: trying to really grow that channel. And I appreciate you

594
00:32:02,760 --> 00:32:04,920
Speaker 1: all so much. I hope you guys are enjoying your

595
00:32:05,040 --> 00:32:08,760
Speaker 1: Christmas season and I will be back on Monday. Thank you,