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Speaker 1: Welcome to Stuff you Should Know, a production of iHeartRadio.

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Speaker 2: Hey, and welcome to the podcast. I'm Josh Chip Clark.

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Speaker 2: There's Charles w Wayne Action Bryant, and there's Jerry the

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Speaker 2: Weather rolland and put the three of us together, you've

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Speaker 2: got yourself the weather team of Stuff you should Know.

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Speaker 1: That's right. This is a kind of a fun one

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Speaker 1: that Dave Ruse helped us out with. Yeah, you commissioned

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Speaker 1: did a great job. Weather people, that's right, weathercasters, broadcast meteorologists.

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Speaker 1: We're talking about not just meteorologists in general. That's a

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Speaker 1: this is a very specific subset of meteorologists. They're meteorologists

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Speaker 1: who are on TV presenting the weather TV weather people. Yeah,

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Speaker 1: this is Ken Cook.

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Speaker 2: Oh I forgot about Ken Cook.

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Speaker 1: Oh my gosh, dude, he's still around.

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Speaker 2: Really.

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Speaker 1: Yeah, And that's kind of the fun thing that you

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Speaker 1: will see partially in this episode. And if you just

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Speaker 1: are from a city that has local news, which is

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Speaker 1: to say everywhere, right, if you if you get a

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Speaker 1: gig like this and you want to and you don't

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Speaker 1: do anything wrong, sure like the idea from the weather,

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Speaker 1: from the from the TV station is that they will

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Speaker 1: have you for thirty years if you will stay on,

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Speaker 1: because that's what they're after. They're after a someone that

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Speaker 1: the local audience bonds with, they trust, they know and

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Speaker 1: love you. Just these jobs don't go away unless you're

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Speaker 1: just not any good at it for some reason. But

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Speaker 1: if you lock in, like if you're like a Dallas

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Speaker 1: Rains or a Ken Cook and you lock into your

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Speaker 1: job as the local weather personality, you're set for life

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Speaker 1: as long as you don't screw it up.

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Speaker 2: Yeah, which, interestingly, like a little corollary to that, Chuck,

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Speaker 2: is that that that low turnover makes the jobs really compare.

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Speaker 2: Oh sure, I read that TV weather people are not

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Speaker 2: friends with the other channels weather people really. Yeah, it's

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Speaker 2: super competitive from what I heard, which is strange because

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Speaker 2: when you think of the TV weather person they're like

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Speaker 2: the friendliest, nicest person in the whole group.

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Speaker 1: Yeah, it's like the gang fight and Anchorman in the Alley.

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Speaker 2: Yeah, and as we'll see, Anchorman, as hilarious as it was,

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Speaker 2: was also incredibly accurate.

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Speaker 1: Yeah. Absolutely, So we're talking.

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Speaker 2: About weathercasters, broadcast meteorologists, TV weather personalities. I'm going to

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Speaker 2: give those examples every time. No, And there's a really

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Speaker 2: long standing joke that says, what other profession could you

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Speaker 2: be wrong half of the time and still get paid

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Speaker 2: a million dollars?

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Speaker 1: Yeah?

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Speaker 2: Yeah, put around a very, very long time. And it

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Speaker 2: kind of underscores just how people typically think of the

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Speaker 2: weather person. They remember when the weather person gets it

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Speaker 2: wrong a lot of times, but whether people are Do

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Speaker 2: you remember we talked about how incredibly stressful a court

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Speaker 2: stenographer's job must be. I think the weather person on

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Speaker 2: TV might have a job that's equally stressful to that.

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Speaker 2: You think, let's talk about the components of the weather

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Speaker 2: person's job, Chuck.

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Speaker 1: I think it looks like a good gig. And in

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Speaker 1: fact I wanted for a very brief time. And I've

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Speaker 1: mentioned this before aspired not aspired, that's overshooting it. Thought

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Speaker 1: briefly in college about trying to be a weather person.

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Speaker 1: I don't because I was into meteorology. As I mentioned before,

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Speaker 1: I used to watch the Weather Channel with my best

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Speaker 1: friend Rat in high school. Yeah, while we hung out,

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Speaker 1: and I took a weather and climate course in college,

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Speaker 1: and that further reinforced that. I was like, this is

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Speaker 1: really cool. And I was a pre journalism major I

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Speaker 1: was in. I wanted to be I thought I wanted

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Speaker 1: to be like a broadcast news kind of reporter type.

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Speaker 1: But I thought no one, And this was, you know,

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Speaker 1: eight nineteen year old Tack. I was like, nobody's trying

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Speaker 1: to be a weather person these days because it's so uncool,

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Speaker 1: like that would probably be a pretty easy gig to get. Yeah,

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Speaker 1: not to little dude.

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Speaker 2: And there's so much work to it too. So first

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Speaker 2: of all, not everyone's a meteorologist. And this is a

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Speaker 2: big boat of contention among the meteorologists who do present

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Speaker 2: on TV.

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Speaker 1: Yeah, most of them are now, but not all of them.

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Speaker 2: Yes, but from what I saw, by most, that means

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Speaker 2: slightly over fifty percent. Oh really, Yeah, it's not like

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Speaker 2: the vast majority from what I've seen, I.

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Speaker 1: Guess I'm thinking most major cities. But yeah, you're right,

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Speaker 1: I guess sure. Sheboygan doesn't have a meteorologist.

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Speaker 2: I think if you are an actual meteorologist on TV,

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Speaker 2: you command more money and probably a little more respect,

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Speaker 2: who knows, of course, But while you're while you're working. So,

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Speaker 2: say you are a meteorologist, okay, so you have to

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Speaker 2: have an understanding of how the weather works. You have

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Speaker 2: to understand how you can communicate that understanding to the public.

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Speaker 2: In an understandable way, So understanding all around you have

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Speaker 2: to have. It's a good personnel, Like you can't be

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Speaker 2: like me some dark smow. You know, you have to

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Speaker 2: be nice and people people want to like you, and

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Speaker 2: so you got to be likable in return. You also

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Speaker 2: have to have like a lot of poise because you're

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Speaker 2: up there on live TV. Don't forget, all of this

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Speaker 2: is live And one of the things I didn't know

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Speaker 2: about weather people they don't have a script. And if

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Speaker 2: you ever watch a weather person deliver their spiel in

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Speaker 2: a couple of minutes, most of the time they do

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Speaker 2: not mess up. They don't have to correct themselves. They

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Speaker 2: don't like like accidentally say half of a word. They're like,

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Speaker 2: they're like the opposite of us.

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Speaker 1: Right.

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Speaker 2: They do not screw up, and sometimes they do, of course,

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Speaker 2: but most of the time it right. So the fact

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Speaker 2: that they're they know what they're talking about. They're getting

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Speaker 2: it across in a logical manner that's spread out in

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Speaker 2: like some understandable way that you can follow that makes

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Speaker 2: sense on live TV, while manipulating images on a green

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Speaker 2: screen that they can't see except for monitors on either side,

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Speaker 2: while also just being fun and chipper and doing it

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Speaker 2: all within your time limit. That's I say that that

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Speaker 2: is a high stress, really admirable job.

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Speaker 1: Okay, here's what I say. That's your take. My take.

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Speaker 1: Admirable for sure, high stress for week one, and then

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Speaker 1: I think you're on cruise control. Okay, next thirty five years.

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Speaker 2: Maybe not week one, but I see what you mean.

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Speaker 1: Sure, And I'm not saying again, not saying that they're

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Speaker 1: not doing a good job or whatever. But I bet

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Speaker 1: you once they had that down, it's it's a pretty

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Speaker 1: great job. Sure, that's not super stressful. All right, that's

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Speaker 1: just my guess. Yeah, I no, you won me over

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Speaker 1: to your side. I'm usually my opinion is almost always correct,

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Speaker 1: but it was. Let's go back in time, though, to

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Speaker 1: eighteen seventy went a very sort of mind the mental

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Speaker 1: thing happened in the United States weatherwise. It's when the

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Speaker 1: National Weather Service was founded, and they from the get

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Speaker 1: go said, here's our mission. We're going to collect data

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Speaker 1: from all over the country from these weather stations. We're

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Speaker 1: going to send it out on the telegraph and people

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Speaker 1: can put it in newspapers if they want. And that's

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Speaker 1: just what happened. Starting in the eighteen eighties with New

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Speaker 1: York World, they started putting their own local weather forecast

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Speaker 1: on the front page. And then it took another cheese

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Speaker 1: probably fifty years or so, maybe not quite before a

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Speaker 1: paper would do the national weather and that would of

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Speaker 1: course be the New York Times did a national weather map.

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Speaker 2: Yeah, and so weather's always basically been associated with news,

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Speaker 2: like right from the get go. And as news has

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Speaker 2: evolved in the way that news is delivered, the weather's

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Speaker 2: evolved alongside it. So when the news made the jump

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Speaker 2: to radio, weather was right there basically from the outside.

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Speaker 2: And there was a guy named Jimmy Fiddler and he

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Speaker 2: was out of WLBC and Munchie Indiana and uh.

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Speaker 1: Munchie Monsey's Munsy.

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Speaker 2: If it were Italian, it'd be Munchie.

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Speaker 1: Oh, I love Munchie. We should go.

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Speaker 2: Okay, it is Monsy. I know that because it's not

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Speaker 2: that far from Toledo. So thank you for corre.

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Speaker 1: Apologize about my asthma throat too. If people think I'm dying,

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Speaker 1: I'm not. It's just a pollen season, dude.

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Speaker 2: It is so bad up here, it's crazy.

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Speaker 1: Yeah, it's really bad.

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Speaker 2: Yeah, three thousands we're talking about people, Is that the

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Speaker 2: level is high.

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Speaker 1: Yes, yeah, because usually I don't get it too bad.

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Speaker 1: But I've been wheezy and asthmatic for like six weeks plus.

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Speaker 2: There's also the nice little bonus of it being cold,

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Speaker 2: super cold, like it's February cold here right now, and

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Speaker 2: it's not like it was cold on one day. It's

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Speaker 2: set in cold. I don't know what's going on.

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Speaker 1: Yeah, uh. And I should also point out that laughing

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Speaker 1: uh triggers like that asthma, wheeze and cough.

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Speaker 2: Well, I'll try to be funny. I'm not making any promise.

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Speaker 1: I know. I'm trying to contain my laugh because if not, I'll.

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Speaker 2: Go I would find that satisfying.

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Speaker 1: All right, try and kill me, Okay.

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Speaker 2: So anyway, he was out of WLBC in Muncie, Indiana,

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Speaker 2: and he's known as basically the first weatherman, the guy

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Speaker 2: who created the what we saw as the weatherman and

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Speaker 2: eventually weather person all the way back in the nineteen thirties.

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Speaker 1: Yeah, and that's sort of the more personality driven weather reporter. Yeah.

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Speaker 1: As we'll see you know, well we can talk about

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Speaker 1: it right now. Actually, as we'll see if TV, as

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Speaker 1: TV became a thing that sort of came and went

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Speaker 1: over the years until it firmly established itself as like

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Speaker 1: whether people should be probably just a little more personality plus.

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Speaker 1: But he was also the first human to be on

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Speaker 1: the television reporting the weather. TV in the late nineteen

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Speaker 1: thirties and early forties was not a very big deal,

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Speaker 1: only about and it's hard to find good numbers, but

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Speaker 1: they found a stat that said about six thousand TV

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Speaker 1: sets nationwide man after the war, that became in less

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Speaker 1: than a decade close to ten million TV sets. So crazy,

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Speaker 1: that's when that boom happened. But he old Jimmie phil

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Speaker 1: almost At Fielder Fiddler went on TV in Cincinnata either

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Speaker 1: in nineteen thirty nine or nineteen forty as the first

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Speaker 1: human TV weatherman.

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Speaker 2: Yes, and I'm glad that you Caveat did that with

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Speaker 2: human because a lot of people were like, oh no,

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Speaker 2: the first weather person of all time was Wooly Lamb,

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Speaker 2: a cartoon character a Lamb. He didn't catch that from

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Speaker 2: the name. Who was just a total shill for Botany

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Speaker 2: wrinkle proof ties. Botany, I take it is the same

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Speaker 2: as the Botany five hundred company that outfitted guys like

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Speaker 2: Rod Serling and all of them in the.

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Speaker 1: Fifties oh, nice looking suits.

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Speaker 2: So Wooly had a goal that was that preceded every forecast.

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Speaker 2: And I have not heard this, but I guarantee, just

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Speaker 2: from reading it, I can recreate it.

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Speaker 1: You ready, that's it.

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Speaker 2: It's hot, it's cold, it's rain, it's fair. Way, I

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Speaker 2: already screwed it up. Hold on, let me try again

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Speaker 2: one and it too. It's hot, it's cold, it's rain,

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Speaker 2: it's fair. It's all mixed up together. But eyes Botany's

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Speaker 2: Wooly lamp predict tomorrow's weather.

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Speaker 1: I think that you nailed it.

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Speaker 2: That's the only way you could thank you.

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Speaker 1: Or what was the star search? Four and three quarter stars?

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Speaker 2: Yeah, that's right. I forgot about that.

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Speaker 1: Wooly lamb though was a full year or more after uh, Fiddler,

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Speaker 1: So I don't see why the date is under dispute.

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Speaker 1: So I don't care. That's probably just the internet thing.

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Speaker 2: Yeah, I don't know if Fiddler was considered a big

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Speaker 2: liar or something because they date says that there's no

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Speaker 2: archival footage of it. But if he said that, he did.

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Speaker 1: Well just because they didn't cord that stuff back then.

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Speaker 2: Right exactly? Remember in our sitcoms episode, they didn't start

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Speaker 2: recording until the late forties early fifties. Maybe it was

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Speaker 2: just live, not even live to tape, right, But the

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Speaker 2: fact that he's saying he did it, I don't see

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Speaker 2: why they would be like, no, you're lying. It was

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Speaker 2: really Wooly Lamb.

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Speaker 1: Yeah, it was in his obituary, so I'll go with that.

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Speaker 2: But there was one other thing that Jimmy Fiddler did

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Speaker 2: that created the persona of the TV weather man in

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Speaker 2: addition to that whole you know that the personality that

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Speaker 2: you were talking about. He took weather data from all

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Speaker 2: different sorts of places and put it together and interpreted

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Speaker 2: it in a way that he could then present it

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Speaker 2: to the public who would then know what the weather

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Speaker 2: was going to be like tomorrow or the day after.

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Speaker 2: That was Jimmy Fiddler who created that.

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Speaker 1: That's right, and that set the standard.

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Speaker 2: It did, and Wooly Lamb kind of set a weird

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Speaker 2: standard too in the post war years, right.

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Speaker 1: Uh, I don't know about this what happened.

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Speaker 2: Oh well, so Wooly Lamb. So imagine a cartoon Lamb

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Speaker 2: as your weather person on your local TV station.

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Speaker 1: I've got I'm there.

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Speaker 2: Kind of weird. There was a period in the late

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Speaker 2: forties early fifties where that would kind of be a

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Speaker 2: fairly normal thing. Or in addition to cartoon lambs, there

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Speaker 2: were puppits.

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Speaker 1: Yeah, yeah, I get what you mean.

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Speaker 2: There were other cartoons. There were there were all clowns,

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Speaker 2: all sorts of just weird stuff, rhyming guys like we'll

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Speaker 2: talk about a little bit of that. But Wooly Lamb

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Speaker 2: and Jimmy Fidler really set the stage for whether people

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Speaker 2: would come. And I think, Chuck, I have just set

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Speaker 2: the stage for our first at break well done.

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Speaker 1: All right, So I mentioned before TV's booming post war,

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Speaker 1: close to ten million TV sets in the end of

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Speaker 1: the nineteen forties. By that time, they had about seventy

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Speaker 1: local TV stations, which you know, doesn't sound like a

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Speaker 1: lot compared to today, but obviously you know your major

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Speaker 1: cities are going to have them, and it took a

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Speaker 1: long time. And we'll talk about when the FCC broke

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Speaker 1: things up and allowed more than one per city as well.

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Speaker 1: So a little bit. But in the forties, this is

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Speaker 1: where I was talking about sort of personality plus kind

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Speaker 1: of coming and going. There were a couple kinds of

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Speaker 1: weather forecasters on television when it first started really rolling

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Speaker 1: out postwar, and that was the really sort of dry kind.

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Speaker 1: Some of these people were former there were veterans from

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Speaker 1: the military who knew about the weather from you know,

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Speaker 1: do that in the military. Sometimes they were just really

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Speaker 1: stuffy science types. Sometimes they were not science people at all,

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Speaker 1: and they were just stuffy, but they were just kind

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Speaker 1: of boring. But if you you know, like I said

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Speaker 1: at the beginning, you could lock into a job even

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Speaker 1: back then, right and have it through the nineteen sixties

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Speaker 1: and into the seventies. And that happened in a few occasions, right. Yeah.

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Speaker 2: There was a guy the chief meteorologist at WTP in Washington,

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Speaker 2: D C. Lewis Allen, and he was there for many decades.

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Speaker 2: I'm not sure when he retired, but he was around

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Speaker 2: for a very long time. There's people still alive that

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Speaker 2: remember him as their weather man, right, yeah, And he

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Speaker 2: was really well known. He was an incredibly accomplished meteorologist.

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Speaker 2: But he was also a pretty good little drawer, and

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Speaker 2: so he would draw in like what the next day's

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Speaker 2: weather was going to be like he called it a woodle,

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Speaker 2: a weather doodle. And I've seen from the research, if

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Speaker 2: you have a little thing like that or a good

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Speaker 2: sign off for something. Yeah, oh yeah, I mean talk

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Speaker 2: about endearing the public to you, that's all. It takes

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Speaker 2: a woodle.

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Speaker 1: Yeah, go screw yourself, San Diego. Yeah. Clint Yule was

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Speaker 1: another one. He became known nationally as mister Weather because

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Speaker 1: he became the first national deliver of weather in the

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Speaker 1: late nineteen forties when he debuted on the Camel News

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Speaker 1: Caravan on NBC. Camel Cigarettes of course sponsored that, and

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Speaker 1: he worked out of Chicago, but kind of invented a

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Speaker 1: system that would become the green screen later by putting

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Speaker 1: a map, a Rand McNally map of the United States,

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Speaker 1: under plexiglass and then drawing on it with a race marker,

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Speaker 1: and he would you know, draw you know, like weather

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Speaker 1: fronts and rain and dry weather and stuff like that.

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Speaker 1: He would draw words on it. Then it moved to color.

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Speaker 1: He made those color markers and he was the first

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Speaker 1: sort of national do to come around.

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Speaker 2: One little tidbit about Clint Yule, that Ram McNally map.

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Speaker 2: He had to bring it from homes.

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Speaker 1: Yeah, it was his.

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Speaker 2: It's hilarious.

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Speaker 1: They didn't cover it. I mentioned the two types of

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Speaker 1: weather people. This was sort of into the nineteen fifties,

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Speaker 1: so I guess it was three types. You had your

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Speaker 1: sort of dry types, but in the fifties they really

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Speaker 1: wanted to spice it up, and that's when you got

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Speaker 1: either your wacky men, like you mentioned the rhyming weatherman

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Speaker 1: that was out of Billiams out of Nashville, or people

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Speaker 1: that had puppets. Willard Scott was very famous weatherman his

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Speaker 1: entire career, but had always been pretty wacky, and was

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Speaker 1: Bozo the Clown on TV before that, and was Ronald

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Speaker 1: McDonald and TV commercials before that, I think the first

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Speaker 1: Ronald McDonald. Yeah, but you had those wacky types, these

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Speaker 1: weird men trying to inject a little entertainment into the

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Speaker 1: news weather. And then you had what were known men

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Speaker 1: as weather girls, which was hey, let's get in a

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Speaker 1: track a young woman. Let's put her in a nice,

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Speaker 1: fashionable outfit. Who cares if she knows meteorology, Let's just

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Speaker 1: put her on her TV screen.

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Speaker 2: Yeah, And the first weather girl was Carol Reid at

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Speaker 2: WCBS in New York and they brought her on to

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Speaker 2: go head to head with the weatherman tex Antoine at WNBC.

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Speaker 2: And the reason why was because it's like you said,

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Speaker 2: the FCC opened up competition in nineteen fifty two for

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Speaker 2: TV licenses, So that's where we got more than one

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Speaker 2: local TV station. Yeah, so all of a sudden there

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Speaker 2: was that competition, and they figured out, well, people don't

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Speaker 2: really take the weather all that seriously. It's not like

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Speaker 2: crime or something like that. Let's use that to kind

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Speaker 2: of gain viewers by just being a little wacky. So

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Speaker 2: tex Antoine he had a cartoon named Uncle Webby and

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Speaker 2: he would blame Uncle Webby the Weather Bureau if he

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Speaker 2: got it wrong, it was Uncle Webby's fault and it

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Speaker 2: was kind of like a gruff sidechick. And he was

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Speaker 2: extraordinarily popular. So they brought Kyl Reid on as an

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Speaker 2: attractive twenty six year old who didn't have any training

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Speaker 2: in meteorology, right, but she was very likable. She had

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Speaker 2: a good smile and she had a good sign off.

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Speaker 1: Chuck, I'm going to give it to you. You can't

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Speaker 1: you can't not take this. Have a happy, have a happy,

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Speaker 1: that's very nice.

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Speaker 2: Yeah, so she kicked off the whole weather girls thing.

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Speaker 1: Oh yeah, there was another one named Ginger Stanley. She

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Speaker 1: would sometimes get in her bathing suit and get in

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Speaker 1: a tank of water on the CBS Morning Show to

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Speaker 1: deliver the weather. Yeah. Another one, and this is hard

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Speaker 1: to believe. They had in lingerie in bed Yeah, in

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Speaker 1: nineteen fifty two, I know, which imagine the lingerie then

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Speaker 1: was just some head to toe Yeah, I had to toe,

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Speaker 1: you know, gown that just looks sort of silky to

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Speaker 1: the touch would be my guest.

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Speaker 2: Sure.

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Speaker 1: And then you had the fact that it was a

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Speaker 1: legit entree point though if you wanted to do serious news,

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Speaker 1: so you would just get in. However you could, like

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Speaker 1: Diane Sawyer was one of these quote unquote weather girls

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Speaker 1: in Louisville, and they said take those glasses off, hin, Yeah.

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Speaker 2: And then seldom make passes at girls who are glasses.

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Speaker 1: You looked too smart. And Roquel Welch was in fact

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Speaker 1: in San Diego and she was the sun up weather girl.

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Speaker 2: Fact to the podcast, Roquel Welch at the time was

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Speaker 2: known as Raquel.

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Speaker 1: Tahata Yeah, which means lime tree. Oh does it? Yeah,

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Speaker 1: Roquel lime tree.

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Speaker 2: That's also Raquel means squeeze.

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Speaker 1: And Welch means grape juice.

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Speaker 2: Wow. I'm all I'm starting to see the pattern now.

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Speaker 1: I think in the nineteen sixty one was sort of

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Speaker 1: the apex of the weather girl phenomenon, when they had

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Speaker 1: four hundred and sixty six TV stations nationwide in about

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Speaker 1: three quarters of them were using weather girls. And that's,

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Speaker 1: you know, generally not the case anymore. When you see

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Speaker 1: a woman that is the local meteorologist, and at least

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Speaker 1: in a big city, chances are she has her meteorology degree, yes,

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Speaker 1: and a certified as well.

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Speaker 2: It's definitely not a novelty or like they're using sex

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Speaker 2: appeal to get people to watch the weather. That's not

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Speaker 2: what they're ostensibly doing any longer. But what I found

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Speaker 2: interesting was that Tarol Reid, who started the weather girl era,

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Speaker 2: also ended it when she was let go in nineteen

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Speaker 2: sixty four. I believe that's considered the end of the

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Speaker 2: weather girl era too. And the reason that the weather

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Speaker 2: girl era came to an end is because the pendulum,

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Speaker 2: which had started with stuffy academics and then swung to

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Speaker 2: women in lingerie in bed giving the weather, yeah, we

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Speaker 2: started to swing back the other way where the actual

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Speaker 2: like legitimate meteorologists are like, hey, what we're doing is

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Speaker 2: actually kind of important and it's not as easy as

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Speaker 2: you guys think. So we want a little more respect,

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Speaker 2: and so to help kind of give them back, the

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Speaker 2: American Meteorological Society and the National Weather Association started coming

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Speaker 2: up with certifications and seal of approval, seals of approval

399
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Speaker 2: that I, like a legit meteorologist on TV who was

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Speaker 2: doing good work, could get and basically use as like

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Speaker 2: a bona fide.

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Speaker 1: Yeah, like why did I go to college and study

403
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Speaker 1: this and work on training my hair part for the

404
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Speaker 1: past fifteen years? Yeah, and put all this money into

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Speaker 1: hair spray If I can't get on TV because there's

406
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Speaker 1: a lady in our lingerie in bed.

407
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Speaker 2: You know, I'm in the process of training my hair part.

408
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Speaker 2: My hairdresser, Michael something, get it over. Yeah, he thought

409
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Speaker 2: it was over way too close to my ears, So

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Speaker 2: he's moving a little closer towards the crown of my head.

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Speaker 2: Very interesting, It is interesting, and it's actually kind of

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Speaker 2: a rough transition period because my hair wants to go

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Speaker 2: back down, but I've got to go back up this way,

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Speaker 2: and it doesn't always want to do that. I constantly

415
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Speaker 2: run my stuff my fingers, so my stupid hair it's awful.

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Speaker 2: And they by doing that because it's been cold lately,

417
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Speaker 2: it creates a lot of static, so it just ends

418
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Speaker 2: up like stuck to my foreheaded one large mass, and

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Speaker 2: I end up with a helmet head ironically looking like

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Speaker 2: a nineteen seventies weather person.

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Speaker 1: I my hair, I've been getting it cut on the

422
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Speaker 1: sides and in the back, and I just I've been

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Speaker 1: doing all kinds of crazy hair stuff since the pandemic.

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Speaker 1: But what I realized is, I think what I'm subconsciously

425
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Speaker 1: going for is the haircut I had in high school

426
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Speaker 1: was when I had like the long, all one link,

427
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Speaker 1: the bangs skater cut and kind of shaved up on

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Speaker 1: the sides and in the back. I'm getting there, can't

429
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Speaker 1: quite envision that. I'll send you a picture of well,

430
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Speaker 1: I'll say you with bags for real, well not bangs,

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Speaker 1: like combed straight down on my forehead.

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Speaker 2: So now like Anthony Keatus's current haircut, time.

433
00:23:58,880 --> 00:24:01,400
Speaker 1: Of thing, no no no no, no, no no, I'm swooping

434
00:24:01,400 --> 00:24:04,320
Speaker 1: it up and over like always. But it's just sort

435
00:24:04,359 --> 00:24:06,600
Speaker 1: of that all one linked sort of thing.

436
00:24:07,760 --> 00:24:08,919
Speaker 2: I'm still having trouble.

437
00:24:09,680 --> 00:24:12,080
Speaker 1: I'll see you on tour soon, okay, and we can

438
00:24:12,119 --> 00:24:13,920
Speaker 1: talk about each other's hair in the green room.

439
00:24:14,200 --> 00:24:17,119
Speaker 2: Okay, So let's move on beyond our hair, right, because

440
00:24:17,240 --> 00:24:21,800
Speaker 2: we're coming to another pivotal watershed moment in TV weather

441
00:24:21,920 --> 00:24:22,760
Speaker 2: people history.

442
00:24:23,119 --> 00:24:27,320
Speaker 1: Yeah, we're coming to the Anchorman years. This was, like

443
00:24:27,359 --> 00:24:29,080
Speaker 1: you said, that movie was true in a lot of ways.

444
00:24:29,119 --> 00:24:32,040
Speaker 1: And in the nineteen sixties, sort of the late sixties,

445
00:24:32,560 --> 00:24:37,399
Speaker 1: WABC in New York said, all right, you know, the

446
00:24:37,440 --> 00:24:40,320
Speaker 1: news had always been sort of a serious affair, like

447
00:24:40,359 --> 00:24:41,800
Speaker 1: when you think of national news, you think of like

448
00:24:41,880 --> 00:24:46,320
Speaker 1: the Walter Cronkites and stuff like that. Was it wasn't

449
00:24:46,359 --> 00:24:48,800
Speaker 1: like the news as we know it today even locally.

450
00:24:49,400 --> 00:24:52,040
Speaker 1: And WABC in New York said, you know what, let's

451
00:24:52,800 --> 00:24:56,000
Speaker 1: let's transform our newscast and have a little more fun

452
00:24:56,040 --> 00:24:59,479
Speaker 1: with it. It was called happy Talker, Happy News, and

453
00:24:59,680 --> 00:25:03,360
Speaker 1: we'll this news team will have two very personable anchors,

454
00:25:03,680 --> 00:25:07,119
Speaker 1: Like everyone's got to be personality. Plus, now everyone's got

455
00:25:07,160 --> 00:25:09,200
Speaker 1: to kind of joke around as you go to commercial

456
00:25:09,760 --> 00:25:13,120
Speaker 1: or maybe the weather man even or the sportsperson interjects

457
00:25:14,560 --> 00:25:17,800
Speaker 1: from you know, the side when they're talking a news story.

458
00:25:17,840 --> 00:25:20,200
Speaker 1: Obviously not you know, if it's like a really serious story,

459
00:25:20,200 --> 00:25:22,600
Speaker 1: they don't come in and joke. But if it's the

460
00:25:22,640 --> 00:25:25,880
Speaker 1: cat stuck in the tree and the little old lady

461
00:25:25,880 --> 00:25:28,399
Speaker 1: who scaled it to get it down. Everybody in the

462
00:25:28,400 --> 00:25:31,879
Speaker 1: newsroom is now this one big fun group, laughing and

463
00:25:31,960 --> 00:25:32,760
Speaker 1: joking about it.

464
00:25:33,240 --> 00:25:36,560
Speaker 2: Right, And the goal is to make the viewer think

465
00:25:36,600 --> 00:25:39,800
Speaker 2: that they're watching like a group of friends who hang

466
00:25:39,880 --> 00:25:43,359
Speaker 2: out like off hours and stuff like that too, right, yeah,

467
00:25:43,400 --> 00:25:46,800
Speaker 2: like Anchorman, exactly right, Like that was the thing. Like

468
00:25:46,800 --> 00:25:49,119
Speaker 2: in Anchorman, they actually did that, and they were I

469
00:25:49,119 --> 00:25:53,080
Speaker 2: didn't realize it, but they were parodying happy talk, happy news.

470
00:25:53,880 --> 00:25:56,840
Speaker 2: And there was a news manager specifically named al Primo

471
00:25:56,920 --> 00:26:00,000
Speaker 2: who's brought into WABC to get ratings up, who's credit

472
00:26:00,320 --> 00:26:03,680
Speaker 2: was coming up with that format, and within a decade,

473
00:26:04,080 --> 00:26:09,000
Speaker 2: every single TV station still today has the happy talk format.

474
00:26:09,840 --> 00:26:14,240
Speaker 2: So the weather person factors into this, because Chuck, they

475
00:26:15,800 --> 00:26:18,400
Speaker 2: had to have their own personality, and they went back

476
00:26:18,400 --> 00:26:22,960
Speaker 2: to basically Jimmy Fiddler's personality and adopted that permanently as

477
00:26:23,000 --> 00:26:28,560
Speaker 2: this happy, peppy, science y type. In fact, a lot

478
00:26:28,600 --> 00:26:33,240
Speaker 2: of whether people, especially like local stations and smaller markets,

479
00:26:33,600 --> 00:26:37,159
Speaker 2: are called upon to basically explain science stuff sometimes like

480
00:26:37,240 --> 00:26:40,680
Speaker 2: they're just the in house egghead basically, right.

481
00:26:41,000 --> 00:26:43,439
Speaker 1: Yeah, and the only person on staff of the science

482
00:26:43,440 --> 00:26:44,480
Speaker 1: degree probably.

483
00:26:44,440 --> 00:26:47,399
Speaker 2: Right, so there was one thing that really kind of

484
00:26:47,440 --> 00:26:49,760
Speaker 2: also happened from the happy talk format aside from it

485
00:26:49,840 --> 00:26:54,119
Speaker 2: just existing. Tex Antoine, who I mentioned, he was brought

486
00:26:54,119 --> 00:26:57,760
Speaker 2: on to WNBC in the fifties and gave everybody else

487
00:26:57,760 --> 00:27:02,440
Speaker 2: a run for their money. He got canceled long before

488
00:27:02,480 --> 00:27:06,680
Speaker 2: anybody ever even thought of the word canceled. But he

489
00:27:07,200 --> 00:27:11,800
Speaker 2: as part of his happy talk spiel, he would often

490
00:27:11,920 --> 00:27:15,440
Speaker 2: like make funny comments on news stories, and I think

491
00:27:15,520 --> 00:27:21,920
Speaker 2: it became so ingrained in his his pattern that he

492
00:27:21,960 --> 00:27:24,880
Speaker 2: didn't always stop and think what he was saying. And

493
00:27:24,920 --> 00:27:27,119
Speaker 2: this is definitely a case of that.

494
00:27:27,760 --> 00:27:30,640
Speaker 1: Yeah, so he got he got he got fired kind

495
00:27:30,640 --> 00:27:31,840
Speaker 1: of immediately, I think.

496
00:27:32,119 --> 00:27:35,439
Speaker 2: Yeah, from what I saw for sure, And there were

497
00:27:35,480 --> 00:27:37,120
Speaker 2: a lot of people stepped up to try to bring

498
00:27:37,200 --> 00:27:39,080
Speaker 2: him back or whatever they were like. No, Don was

499
00:27:39,080 --> 00:27:40,960
Speaker 2: definitely over the line.

500
00:27:41,119 --> 00:27:44,040
Speaker 1: All right, should we take a break, Yes, all right,

501
00:27:44,119 --> 00:27:47,280
Speaker 1: let's take a break and we will talk about uh, well,

502
00:27:47,480 --> 00:27:49,199
Speaker 1: let's talk more about weather people right after this.

503
00:28:02,280 --> 00:28:18,320
Speaker 2: Stop stop stop stop stop, Okay, Chuck. So, one thing

504
00:28:18,520 --> 00:28:20,560
Speaker 2: that we've kind of been tracking here is this kind

505
00:28:20,560 --> 00:28:25,320
Speaker 2: of evolutionless progression of delivering the weather on TV. And

506
00:28:25,440 --> 00:28:28,119
Speaker 2: one of the big technological advances was the launch of

507
00:28:28,160 --> 00:28:32,840
Speaker 2: the Goes one geostationary satellite over the US back in

508
00:28:32,920 --> 00:28:38,880
Speaker 2: nineteen seventy five. Because now we had serious av that

509
00:28:38,960 --> 00:28:41,600
Speaker 2: the weather people didn't have before. You could string together

510
00:28:41,720 --> 00:28:45,719
Speaker 2: these pictures taken every half hour of cloud formations and

511
00:28:45,760 --> 00:28:48,840
Speaker 2: basically do like a flip book on TV and show

512
00:28:48,880 --> 00:28:51,959
Speaker 2: people the clouds moving across the United States. And if

513
00:28:52,000 --> 00:28:55,960
Speaker 2: you watch today, that the cloud movement that just keeps

514
00:28:56,000 --> 00:28:59,840
Speaker 2: resetting over and over again, you know during the this

515
00:29:00,280 --> 00:29:03,680
Speaker 2: like one specific part of the weather task. Yeah, that's

516
00:29:03,720 --> 00:29:06,800
Speaker 2: the exact same thing. It's probably not coming from Goes

517
00:29:06,840 --> 00:29:10,000
Speaker 2: one anymore. It might be, but it's definitely in that

518
00:29:10,200 --> 00:29:12,320
Speaker 2: the legacy of the Goes one satellite.

519
00:29:12,640 --> 00:29:14,480
Speaker 1: Oh yeah. And if you're watching the news in the

520
00:29:14,480 --> 00:29:16,760
Speaker 1: mid seventies and all of a sudden you see a

521
00:29:16,840 --> 00:29:19,920
Speaker 1: front literally moving for the first time, like you're pretty

522
00:29:19,960 --> 00:29:22,760
Speaker 1: knocked out, it was a big deal. People really loved it.

523
00:29:23,520 --> 00:29:26,440
Speaker 1: The green screen comes along in the eighties. That's what

524
00:29:26,480 --> 00:29:29,800
Speaker 1: you mentioned earlier. When you are standing in front of

525
00:29:29,800 --> 00:29:32,120
Speaker 1: a green screen, and maybe we should do like a

526
00:29:32,160 --> 00:29:34,120
Speaker 1: short stuff on chroma key technology.

527
00:29:34,320 --> 00:29:36,240
Speaker 2: All right, we should do it in front of a

528
00:29:36,240 --> 00:29:36,840
Speaker 2: green screen.

529
00:29:37,040 --> 00:29:40,680
Speaker 1: We should we've done stuff in front of green screens before. Yeah,

530
00:29:40,840 --> 00:29:44,680
Speaker 1: lots sure, but yeah, they're standing there, they're looking off

531
00:29:44,840 --> 00:29:48,880
Speaker 1: screen at monitors, they're pointing, you know, you know, it

532
00:29:48,920 --> 00:29:53,400
Speaker 1: takes a little time to learn how to master pointing

533
00:29:53,400 --> 00:29:57,280
Speaker 1: at a blank screen and lining it up correctly so

534
00:29:57,360 --> 00:30:00,920
Speaker 1: you're pointing at you know, Kansas City and not ames

535
00:30:00,960 --> 00:30:05,520
Speaker 1: Iowa by accident. Doppler comes along as sort of the

536
00:30:05,560 --> 00:30:10,080
Speaker 1: next big thing or next rad next generation radar that

537
00:30:10,200 --> 00:30:13,960
Speaker 1: was in the early nineties and another big game changer

538
00:30:14,920 --> 00:30:16,960
Speaker 1: as far as you know, just more in depth and

539
00:30:17,000 --> 00:30:21,240
Speaker 1: detailed weather forecasting and also how to like you know,

540
00:30:21,320 --> 00:30:23,440
Speaker 1: broadcast it for people's eyeballs.

541
00:30:23,160 --> 00:30:25,640
Speaker 2: Right, yeah, because you could see into the storm. Now

542
00:30:25,720 --> 00:30:28,760
Speaker 2: you could talk about the precipitation like inside the storm.

543
00:30:28,800 --> 00:30:31,800
Speaker 2: It was really I mean, next generation.

544
00:30:31,920 --> 00:30:35,040
Speaker 1: Next gen athlete titled. So then we get to the

545
00:30:35,320 --> 00:30:37,920
Speaker 1: big question which a lot of people may wonder, is

546
00:30:37,960 --> 00:30:42,440
Speaker 1: like do these people, I know they have meteorology degrees,

547
00:30:42,480 --> 00:30:47,120
Speaker 1: but a lot of times do But do they come

548
00:30:47,200 --> 00:30:49,400
Speaker 1: up with their own forecasts or do they just get

549
00:30:49,720 --> 00:30:53,800
Speaker 1: a print out of the national weather forecast and read

550
00:30:53,800 --> 00:30:56,040
Speaker 1: it on the air and move their hands around a

551
00:30:56,080 --> 00:31:00,920
Speaker 1: screen and it's a little bit of both. Sure, they

552
00:31:00,920 --> 00:31:04,320
Speaker 1: get all of their weather basically data wise from the

553
00:31:04,400 --> 00:31:10,240
Speaker 1: National Weather Service and from the NOAA. Why not, that's

554
00:31:10,240 --> 00:31:12,280
Speaker 1: where it all lives. That's where you're going to get

555
00:31:12,280 --> 00:31:14,120
Speaker 1: the most accurate stuff. They're not going to be stubborn

556
00:31:14,120 --> 00:31:15,760
Speaker 1: and be like, well I don't want to use this stuff.

557
00:31:16,520 --> 00:31:20,400
Speaker 1: They all use it. But they are like generally people

558
00:31:20,400 --> 00:31:22,840
Speaker 1: that have lived in this place for a while or

559
00:31:22,960 --> 00:31:26,800
Speaker 1: you know, after the gain experience, they also gain weather experience.

560
00:31:26,840 --> 00:31:30,320
Speaker 1: And you might hear a local person say like, you know,

561
00:31:30,440 --> 00:31:32,680
Speaker 1: this front is coming through, but you know, as we've

562
00:31:32,680 --> 00:31:35,280
Speaker 1: seen before in Atlanta, like in you know, eight years

563
00:31:35,280 --> 00:31:36,960
Speaker 1: ago when we had this happen, when we thought that

564
00:31:37,040 --> 00:31:40,440
Speaker 1: was going to happen. Like their experience in their their

565
00:31:40,480 --> 00:31:43,640
Speaker 1: sort of color commentary is their own, and it very

566
00:31:43,720 --> 00:31:45,400
Speaker 1: much comes into play and is relevant.

567
00:31:46,160 --> 00:31:49,160
Speaker 2: My understanding too, is that they're taking this data from

568
00:31:49,560 --> 00:31:53,960
Speaker 2: the Weather Service and NOAH that they provide and having

569
00:31:54,000 --> 00:31:58,320
Speaker 2: to interpret it themselves, analyze it, interpret it, and then

570
00:32:00,040 --> 00:32:04,840
Speaker 2: and then I guess broadcasted in an understandable way. Right,

571
00:32:04,880 --> 00:32:06,720
Speaker 2: So it's not like the Weather Service or no It

572
00:32:06,840 --> 00:32:10,280
Speaker 2: just sends out like, hey you can here's here's format

573
00:32:10,320 --> 00:32:12,720
Speaker 2: a if you want to be spicy today, here's when

574
00:32:12,720 --> 00:32:14,840
Speaker 2: that's a little edgy. Is nothing like that.

575
00:32:14,920 --> 00:32:16,760
Speaker 1: It's not written for broadcast now, right.

576
00:32:16,600 --> 00:32:19,040
Speaker 2: So even if you don't have a meteorological degree, you

577
00:32:19,120 --> 00:32:22,160
Speaker 2: have to understand how to read and interpret that kind

578
00:32:22,160 --> 00:32:24,600
Speaker 2: of data. And I don't think it's so arcane that

579
00:32:24,720 --> 00:32:29,000
Speaker 2: like no like the sigma characters used repeatedly or anything

580
00:32:29,080 --> 00:32:31,440
Speaker 2: like that. I think you can make heads or tails

581
00:32:31,440 --> 00:32:33,880
Speaker 2: of it because it's free and open to the public. Right,

582
00:32:33,880 --> 00:32:38,239
Speaker 2: it's available to everybody. But there's no purpose in not

583
00:32:38,560 --> 00:32:41,280
Speaker 2: using that information. That's what everybody does. It's what they've

584
00:32:41,280 --> 00:32:43,680
Speaker 2: been doing since eighteen seventy and it's one of those

585
00:32:43,720 --> 00:32:45,920
Speaker 2: if it ain't broke, don't fix it. Yeah, And at

586
00:32:45,920 --> 00:32:48,160
Speaker 2: the same time, there's a lot of work that they

587
00:32:48,160 --> 00:32:51,240
Speaker 2: have to put into putting this the puzzle pieces together

588
00:32:51,520 --> 00:32:52,800
Speaker 2: and giving a clear picture.

589
00:32:53,400 --> 00:32:57,280
Speaker 1: Absolutely, if you're doing the morning news, you are showing

590
00:32:57,360 --> 00:33:00,280
Speaker 1: up to work at like three point thirty four in

591
00:33:00,320 --> 00:33:03,680
Speaker 1: the morning, depending on what time your first broadcast is. Yeah,

592
00:33:03,720 --> 00:33:06,240
Speaker 1: some of those first local news broadcasts are you know,

593
00:33:06,280 --> 00:33:09,240
Speaker 1: four thirty five AM. And they got to be there

594
00:33:09,400 --> 00:33:12,440
Speaker 1: and know what's going on and look fresh and be

595
00:33:12,520 --> 00:33:15,320
Speaker 1: ready to go get those morning eyebags.

596
00:33:15,360 --> 00:33:19,880
Speaker 2: Calm down right the speaking of that, chuck, They a

597
00:33:19,880 --> 00:33:21,880
Speaker 2: lot of most of them do their own hair and makeup,

598
00:33:21,920 --> 00:33:23,440
Speaker 2: unless you're in a really big city.

599
00:33:24,000 --> 00:33:26,800
Speaker 1: Oh really, Yeah, was there a poll?

600
00:33:28,280 --> 00:33:30,360
Speaker 2: No, Actually, I've read I should probably shout it out.

601
00:33:30,520 --> 00:33:36,400
Speaker 2: I read a post from tropicalweather dot net. Could not,

602
00:33:36,440 --> 00:33:38,560
Speaker 2: for the life of me find out who wrote that.

603
00:33:38,680 --> 00:33:42,600
Speaker 2: But they were clearly like a former TV weather caster,

604
00:33:43,320 --> 00:33:45,400
Speaker 2: and they talked about, you know, day in the life

605
00:33:45,440 --> 00:33:47,560
Speaker 2: of a weather caster. And one of those things was

606
00:33:47,640 --> 00:33:50,640
Speaker 2: like they're like a one person show, Like they do

607
00:33:51,160 --> 00:33:53,400
Speaker 2: almost all their own stuff unless they're in a really

608
00:33:53,480 --> 00:33:54,840
Speaker 2: large market. Yeah.

609
00:33:54,880 --> 00:33:56,480
Speaker 1: I mean, if you're in a small market, you don't

610
00:33:56,480 --> 00:33:59,200
Speaker 1: have a weather team of like five or six people

611
00:33:59,760 --> 00:34:02,320
Speaker 1: put all this stuff together for you. You're like, you

612
00:34:02,360 --> 00:34:05,880
Speaker 1: know how to work the software, the graphics software, You're

613
00:34:06,120 --> 00:34:08,000
Speaker 1: like you said you are, You're you're doing it on

614
00:34:08,040 --> 00:34:10,399
Speaker 1: your own. Basically, if you're in a bigger city, then

615
00:34:10,560 --> 00:34:12,600
Speaker 1: you're gonna have like your weather team and stuff like that,

616
00:34:12,960 --> 00:34:15,640
Speaker 1: and especially if you get to the tippy top of

617
00:34:15,760 --> 00:34:18,879
Speaker 1: like a Dallas Rains. I mentioned him a couple of times.

618
00:34:18,920 --> 00:34:20,680
Speaker 1: He's the La Gui forever he may still be for

619
00:34:20,760 --> 00:34:21,080
Speaker 1: all I.

620
00:34:21,040 --> 00:34:23,239
Speaker 2: Know, what about storm fields.

621
00:34:23,680 --> 00:34:26,719
Speaker 1: Yeah, Like, if you're sort of a weather celebrity and

622
00:34:26,760 --> 00:34:30,480
Speaker 1: a big market, then I'm sure that you've got hair

623
00:34:30,520 --> 00:34:32,520
Speaker 1: and makeup and you've got people putting together all your

624
00:34:32,520 --> 00:34:36,480
Speaker 1: stuff for you generally, right. But you know, otherwise you're

625
00:34:36,520 --> 00:34:41,120
Speaker 1: kind of in the trenches doing the hard work. You you,

626
00:34:41,120 --> 00:34:43,040
Speaker 1: you know, you probably don't go on to the field

627
00:34:43,080 --> 00:34:46,440
Speaker 1: as much if you're in a big city, but if

628
00:34:46,480 --> 00:34:49,640
Speaker 1: you're the small market person, you're probably still the one

629
00:34:49,640 --> 00:34:51,640
Speaker 1: that's standing out in the rain at times during a

630
00:34:51,640 --> 00:34:52,160
Speaker 1: big storm.

631
00:34:52,719 --> 00:34:55,239
Speaker 2: Yeah. One of the other things, too, is when you're

632
00:34:55,320 --> 00:34:58,360
Speaker 2: when you get this picture of the weather together, it's

633
00:34:58,400 --> 00:35:01,560
Speaker 2: like four in the morning, you have to brief the

634
00:35:01,640 --> 00:35:04,680
Speaker 2: news manager on whether any of the weather warrant any

635
00:35:04,719 --> 00:35:07,799
Speaker 2: news coverage, which I hadn't thought about, but that's totally true.

636
00:35:07,800 --> 00:35:11,120
Speaker 2: I mean, sometimes the weather makes the news, and that's

637
00:35:11,400 --> 00:35:15,520
Speaker 2: from coordinating with the news manager and the weather caster.

638
00:35:15,760 --> 00:35:19,880
Speaker 1: You mean, like additional like it's a news story, yes, yeah, yeah.

639
00:35:19,920 --> 00:35:22,279
Speaker 2: And then so in addition to just all of the

640
00:35:22,320 --> 00:35:25,600
Speaker 2: weather stuff, there's a lot of things that weathercasters cover

641
00:35:25,719 --> 00:35:28,319
Speaker 2: that we don't that don't really have anything to do

642
00:35:28,400 --> 00:35:30,359
Speaker 2: with the weather, but we still expect the weather caster

643
00:35:30,480 --> 00:35:35,080
Speaker 2: to give it to us celestial events, pollen counts, fishing

644
00:35:35,120 --> 00:35:38,799
Speaker 2: forecasts of course, all sorts of that stuff. Like if

645
00:35:38,800 --> 00:35:41,280
Speaker 2: you think about it, not really part of the weather.

646
00:35:41,520 --> 00:35:45,439
Speaker 2: And in fact, that tropicalweather dot net really dryly put

647
00:35:45,480 --> 00:35:50,320
Speaker 2: it that the public relates astrological events to weather, considering

648
00:35:50,360 --> 00:35:51,680
Speaker 2: that it is viewed in the sky.

649
00:35:52,480 --> 00:35:53,680
Speaker 1: Yeah, it is. It.

650
00:35:53,680 --> 00:35:56,080
Speaker 2: It's kind of true. We all kind of think of

651
00:35:56,120 --> 00:35:59,319
Speaker 2: that as weather, but really not a lot to do

652
00:35:59,440 --> 00:36:01,319
Speaker 2: with weather. But the weather people have to look that

653
00:36:01,440 --> 00:36:03,879
Speaker 2: up to They have to research local events to put

654
00:36:03,880 --> 00:36:07,359
Speaker 2: the weather in context, like is the big May Day

655
00:36:07,520 --> 00:36:09,160
Speaker 2: parade gonna get rained out?

656
00:36:09,360 --> 00:36:10,560
Speaker 1: Of course, like that kind of thing.

657
00:36:10,600 --> 00:36:13,160
Speaker 2: So it digs the weather, makes it personal and important

658
00:36:13,160 --> 00:36:15,799
Speaker 2: to you by saying, like this thing you're going to

659
00:36:15,920 --> 00:36:18,279
Speaker 2: may or may not get rained out, and the weather

660
00:36:18,320 --> 00:36:20,520
Speaker 2: person has to know all of that stuff.

661
00:36:20,960 --> 00:36:25,480
Speaker 1: Yeah. Absolutely. When they're not in the studio and doing

662
00:36:25,560 --> 00:36:30,399
Speaker 1: weather stuff, they're usually pretty active in the community. You're

663
00:36:30,400 --> 00:36:32,400
Speaker 1: not going to find like a local TV weather person

664
00:36:32,440 --> 00:36:35,400
Speaker 1: that's just like a shut in off hours and doesn't

665
00:36:35,440 --> 00:36:38,600
Speaker 1: get involved. I think they're very much expected and it's

666
00:36:38,600 --> 00:36:41,719
Speaker 1: good for their brand obviously, to get out in the community,

667
00:36:41,880 --> 00:36:47,000
Speaker 1: to be the guest judge at the Chicken Wing Flaning, which,

668
00:36:47,080 --> 00:36:49,560
Speaker 1: by the way, I'm doing coming up soon. Oh really

669
00:36:49,600 --> 00:36:52,080
Speaker 1: in Atlanta. I'm a celebrity judge for the Kirkwood Wing

670
00:36:52,080 --> 00:36:53,879
Speaker 1: Flaning Wow in May.

671
00:36:54,160 --> 00:36:54,879
Speaker 2: Best of luck.

672
00:36:55,239 --> 00:36:57,120
Speaker 1: So if anyone wants to come down there and heckle me,

673
00:36:57,440 --> 00:37:01,640
Speaker 1: feel free visit a elementary schools and go talk about

674
00:37:01,640 --> 00:37:05,120
Speaker 1: weather stuff there. And like I said, you're your own brand,

675
00:37:05,320 --> 00:37:10,680
Speaker 1: so it will behoove you to to build your brand,

676
00:37:10,840 --> 00:37:13,960
Speaker 1: and you do that through social media. So yeah, chances

677
00:37:14,000 --> 00:37:17,880
Speaker 1: are you got a big or hopefully a big Instagram following,

678
00:37:18,000 --> 00:37:20,640
Speaker 1: or you're on Twitter or whatever, like you know, just

679
00:37:20,680 --> 00:37:23,600
Speaker 1: like any other on air personality, you want your name

680
00:37:23,640 --> 00:37:24,239
Speaker 1: to be out there.

681
00:37:24,760 --> 00:37:26,680
Speaker 2: Okay, So you got up and got to work at

682
00:37:26,680 --> 00:37:29,440
Speaker 2: three point thirty. You took all of the tea leaves

683
00:37:29,440 --> 00:37:32,120
Speaker 2: from the NASA Weather Service and Noah put them together

684
00:37:32,160 --> 00:37:35,480
Speaker 2: into a picture that you can share with people. You've

685
00:37:35,680 --> 00:37:40,320
Speaker 2: made literal pictures of this stuff as graphics. You probably

686
00:37:40,400 --> 00:37:43,120
Speaker 2: in between the morning news and say the new News

687
00:37:43,120 --> 00:37:47,200
Speaker 2: if you're doing both of those, you taped a broadcast

688
00:37:47,360 --> 00:37:51,520
Speaker 2: for the website. You had to tweet the whole time

689
00:37:51,600 --> 00:37:54,080
Speaker 2: to try to build your social media following. And then

690
00:37:54,080 --> 00:37:56,120
Speaker 2: after work you had to go into an elementary school

691
00:37:56,120 --> 00:37:58,759
Speaker 2: and give a talk about weather and then go home, eat,

692
00:37:58,920 --> 00:38:01,040
Speaker 2: go to bit and then get up the next morning

693
00:38:01,280 --> 00:38:04,479
Speaker 2: at I don't know, two forty five or three. That's

694
00:38:04,520 --> 00:38:05,840
Speaker 2: the life of a weather person.

695
00:38:05,920 --> 00:38:07,239
Speaker 1: No, you go to the local fern bar.

696
00:38:07,840 --> 00:38:11,319
Speaker 2: Okay, yeah that's true. That's probably you could fit that

697
00:38:11,400 --> 00:38:13,799
Speaker 2: in there somewhere. You could fit a Harvey wallbanger at too, and.

698
00:38:14,080 --> 00:38:15,839
Speaker 1: Yeah that's what you do in the seventies. But yeah,

699
00:38:15,960 --> 00:38:18,719
Speaker 1: it's a it's a tough job. I mean, you lost

700
00:38:18,800 --> 00:38:20,560
Speaker 1: me at two forty five in the morning.

701
00:38:20,680 --> 00:38:23,359
Speaker 2: No doubt. And then also there's I mean, unless you're

702
00:38:23,360 --> 00:38:25,359
Speaker 2: at the top of the heap, they're gonna tell you

703
00:38:25,520 --> 00:38:29,200
Speaker 2: need to work on the fourth July, on Christmas, on Thanksgiving,

704
00:38:29,360 --> 00:38:32,719
Speaker 2: like and I saw one of the ways again to

705
00:38:32,880 --> 00:38:34,960
Speaker 2: from tropical weather dot net. If you want to get

706
00:38:34,960 --> 00:38:37,000
Speaker 2: your foot in the door, basically say I will be

707
00:38:37,080 --> 00:38:40,359
Speaker 2: the guy that works on Christmas and Thanksgiving and just

708
00:38:40,480 --> 00:38:43,160
Speaker 2: give me on TV. Let me show everybody what I've got.

709
00:38:43,320 --> 00:38:46,680
Speaker 2: I got five thousand followers on Twitter, give me a shot.

710
00:38:46,920 --> 00:38:49,200
Speaker 1: Give me afraid, not afraid to stand in front of

711
00:38:49,200 --> 00:38:49,720
Speaker 1: a tornado.

712
00:38:50,480 --> 00:38:53,480
Speaker 2: Right, that's another one too. I mean standing in storms is,

713
00:38:53,600 --> 00:38:55,600
Speaker 2: like you said, it's a real hazard of the job,

714
00:38:55,640 --> 00:38:58,520
Speaker 2: but they kind of, depending on who you are, you

715
00:38:58,640 --> 00:38:59,560
Speaker 2: kind of have to do it.

716
00:39:00,160 --> 00:39:04,360
Speaker 1: Yeah, And that's become a more of a thing. And

717
00:39:04,400 --> 00:39:07,040
Speaker 1: I think in the last like twenty years or so,

718
00:39:07,880 --> 00:39:09,759
Speaker 1: Like I remember watching the Weather Channel the eighties, and

719
00:39:09,760 --> 00:39:13,000
Speaker 1: I don't remember seeing a ton of that, but people

720
00:39:13,040 --> 00:39:16,399
Speaker 1: watch the Weather Channel now to see what's the guy's name,

721
00:39:16,480 --> 00:39:20,920
Speaker 1: Jim Canty, Yeah, Jim Cantoorre. You know, is this the

722
00:39:20,920 --> 00:39:22,919
Speaker 1: one where he's going to be swept out to see

723
00:39:23,040 --> 00:39:23,239
Speaker 1: or not?

724
00:39:23,960 --> 00:39:24,160
Speaker 2: Yeah?

725
00:39:24,200 --> 00:39:24,600
Speaker 1: The one.

726
00:39:25,160 --> 00:39:27,839
Speaker 2: Dave linked to a clip of Hurricane Ian and Jim

727
00:39:27,880 --> 00:39:31,040
Speaker 2: Cantoreian hanging on to us like a street sign. Yeah,

728
00:39:31,280 --> 00:39:34,480
Speaker 2: and behind him is like a stop sign that's been

729
00:39:34,520 --> 00:39:37,760
Speaker 2: bent at the base and it's just flipping back and forth.

730
00:39:38,160 --> 00:39:41,120
Speaker 2: And if that thing swung, it would chop Jim cantore

731
00:39:41,200 --> 00:39:43,560
Speaker 2: right in half. Like those things are heavy and they

732
00:39:43,560 --> 00:39:47,040
Speaker 2: can be sharp at high speeds, So it is definitely dangerous.

733
00:39:47,239 --> 00:39:49,960
Speaker 2: But you said that it was from the maybe the

734
00:39:50,800 --> 00:39:54,000
Speaker 2: nineties or something that they started going out in the weather. Apparently,

735
00:39:54,080 --> 00:39:57,279
Speaker 2: Dan Rathers credited as one of the first reporters to

736
00:39:57,360 --> 00:40:00,919
Speaker 2: go out in a hurricane Hurricane Carla eighteen sixty one,

737
00:40:01,200 --> 00:40:03,719
Speaker 2: when he was just a little cub reporter at KHO

738
00:40:03,880 --> 00:40:06,680
Speaker 2: You and Houston, and he went out and showed moves

739
00:40:06,800 --> 00:40:09,480
Speaker 2: like Alan the hurricane and kind of set that trend

740
00:40:09,800 --> 00:40:11,800
Speaker 2: that I guess. I think you're right. It wasn't something

741
00:40:11,840 --> 00:40:14,919
Speaker 2: that you would see until later on after the Weather

742
00:40:15,000 --> 00:40:16,520
Speaker 2: Channel really kind of got into it.

743
00:40:16,800 --> 00:40:18,359
Speaker 1: Yeah, I mean I feel like it became a little

744
00:40:18,400 --> 00:40:21,080
Speaker 1: more like the storm chasy thing kind of cult holle

745
00:40:21,160 --> 00:40:26,160
Speaker 1: More Weather Channel, Bill Paxton and Helen Hunt, Which is funny.

746
00:40:26,200 --> 00:40:28,640
Speaker 1: I know I said this before, but Emily loves Twister

747
00:40:29,960 --> 00:40:32,840
Speaker 1: and it is just so not her thing. And my

748
00:40:33,239 --> 00:40:35,239
Speaker 1: joke that I've used over and over over the years

749
00:40:35,239 --> 00:40:38,320
Speaker 1: when people talk about Emily's taste of movies is Emily

750
00:40:38,400 --> 00:40:41,520
Speaker 1: likes two types of movies, small indie dramas and Twister.

751
00:40:42,600 --> 00:40:43,959
Speaker 2: Liking Twister is so high.

752
00:40:43,960 --> 00:40:47,640
Speaker 1: Oh though it is Ohio now that I think about it,

753
00:40:47,680 --> 00:40:49,680
Speaker 1: And she was obsessed with tornadoes growing up because of

754
00:40:49,760 --> 00:40:53,640
Speaker 1: Sohio for sure. But yeah, the Weather Channel came around

755
00:40:53,680 --> 00:40:57,440
Speaker 1: in eighty two so I had never thought about it.

756
00:40:57,440 --> 00:40:59,080
Speaker 1: When I was watching it in like eighty eight, it

757
00:40:59,160 --> 00:41:03,719
Speaker 1: was still pretty new. John Coleman was the was the

758
00:41:03,760 --> 00:41:07,000
Speaker 1: brainchild behind it. He got to start in the seventies

759
00:41:07,600 --> 00:41:11,560
Speaker 1: and eventually was the weather person for Good Morning America.

760
00:41:12,360 --> 00:41:14,920
Speaker 1: And he was one of the ones that was like,

761
00:41:15,000 --> 00:41:18,560
Speaker 1: you know, people want to watch people. They don't tune

762
00:41:18,560 --> 00:41:20,040
Speaker 1: in for the weather. They tune in to watch the

763
00:41:20,080 --> 00:41:23,640
Speaker 1: weather person, which is just sort of true and sort

764
00:41:23,680 --> 00:41:23,840
Speaker 1: of not.

765
00:41:24,239 --> 00:41:26,440
Speaker 2: Yeah, I guess it depends on the weather person really

766
00:41:26,480 --> 00:41:27,200
Speaker 2: if you think about it.

767
00:41:27,239 --> 00:41:30,040
Speaker 1: But they also want to hear the weather, right, right.

768
00:41:30,320 --> 00:41:33,480
Speaker 2: Although you know, I have something to confess. I have

769
00:41:33,520 --> 00:41:37,880
Speaker 2: trouble paying attention and focusing sometimes. Okay, I don't think

770
00:41:38,160 --> 00:41:41,560
Speaker 2: in the history of my entire life, I've ever absorbed

771
00:41:41,600 --> 00:41:45,399
Speaker 2: a weather report ever. Really, I'll watch the whole thing

772
00:41:45,440 --> 00:41:47,040
Speaker 2: and at the end I'll be like, I have no

773
00:41:47,120 --> 00:41:50,720
Speaker 2: idea what the weather's going to be tomorrow. Every single time.

774
00:41:51,120 --> 00:41:55,800
Speaker 1: I haven't watched a weather report in a long time.

775
00:41:56,000 --> 00:41:58,920
Speaker 2: I watch local and national news almost every night, so

776
00:41:59,280 --> 00:42:00,759
Speaker 2: it happens almost every day.

777
00:42:00,880 --> 00:42:03,600
Speaker 1: That's yeah, I haven't watched local news since in probably

778
00:42:03,640 --> 00:42:04,520
Speaker 1: twenty something years.

779
00:42:04,760 --> 00:42:06,120
Speaker 2: Oh, you're missing out, buddy.

780
00:42:06,600 --> 00:42:12,720
Speaker 1: I'm not into it TV before eight pm. Well except

781
00:42:12,760 --> 00:42:13,760
Speaker 1: for Jeopardy.

782
00:42:14,080 --> 00:42:16,879
Speaker 2: Okay that's seven thirty so yeah, still.

783
00:42:16,760 --> 00:42:19,440
Speaker 1: But then it goes back off at eight so usually

784
00:42:19,520 --> 00:42:20,520
Speaker 1: until nine.

785
00:42:20,760 --> 00:42:21,040
Speaker 2: Does it?

786
00:42:21,080 --> 00:42:21,360
Speaker 1: Really?

787
00:42:21,400 --> 00:42:24,960
Speaker 2: There's that hour of power where you're just sitting there meditating.

788
00:42:25,280 --> 00:42:27,840
Speaker 1: No, that's when uh, that's when bedtime for Ruby happens.

789
00:42:27,840 --> 00:42:29,680
Speaker 1: So you can't screen on KIT. She'll just be like,

790
00:42:30,040 --> 00:42:32,839
Speaker 1: must watch, right, I don't care.

791
00:42:33,360 --> 00:42:36,640
Speaker 2: I want to watch how the Equalizer ends tonight.

792
00:42:36,840 --> 00:42:40,000
Speaker 1: Oh dude, she'll watch. She was watching the stupid ads

793
00:42:40,040 --> 00:42:42,080
Speaker 1: on the gas pump the other day from the car.

794
00:42:42,400 --> 00:42:43,120
Speaker 2: Oh my god.

795
00:42:43,480 --> 00:42:44,640
Speaker 1: I was like, this is sick.

796
00:42:45,120 --> 00:42:47,640
Speaker 2: Yeah, that's a problem, Chuck. You got a problem on

797
00:42:47,640 --> 00:42:48,400
Speaker 2: your hands there.

798
00:42:48,280 --> 00:42:49,480
Speaker 1: And she said, screw you, dad.

799
00:42:50,160 --> 00:42:54,040
Speaker 2: So well there's your other problem too. That and Emily

800
00:42:54,120 --> 00:42:56,759
Speaker 2: loving Twister. You got a lot of problems.

801
00:42:57,160 --> 00:43:01,040
Speaker 1: That's right. But you know what's not one the weather?

802
00:43:01,680 --> 00:43:05,719
Speaker 1: Because I use my weather apps. That's how I ingest

803
00:43:05,760 --> 00:43:10,200
Speaker 1: the weather. I guess I'm like a gen z because

804
00:43:10,239 --> 00:43:15,080
Speaker 1: they've done research, Pew research, even the best research, and

805
00:43:15,120 --> 00:43:18,400
Speaker 1: they found this, forty two percent of people over sixty

806
00:43:18,440 --> 00:43:23,720
Speaker 1: five still follow the local news very closely and fifty

807
00:43:23,800 --> 00:43:27,560
Speaker 1: one percent of that group of people get their local

808
00:43:27,600 --> 00:43:30,520
Speaker 1: news from local TV broadcasts. Sure, if you go to

809
00:43:30,640 --> 00:43:34,160
Speaker 1: under thirty, it drops down to fifteen percent follow the

810
00:43:34,160 --> 00:43:37,279
Speaker 1: local news very closely, and twenty six percent prefer to

811
00:43:37,280 --> 00:43:39,760
Speaker 1: get their news from TV.

812
00:43:40,760 --> 00:43:43,360
Speaker 2: Right, so sixty percent of that group like diet it

813
00:43:43,360 --> 00:43:44,680
Speaker 2: from online.

814
00:43:44,920 --> 00:43:46,640
Speaker 1: Yeah, I mean, I'm I want to see who that

815
00:43:46,680 --> 00:43:50,360
Speaker 1: fifteen percent of twenty something says is following the local

816
00:43:50,360 --> 00:43:51,840
Speaker 1: news very closely on television.

817
00:43:51,920 --> 00:43:53,520
Speaker 2: I think it's like a retro kind of thing. They

818
00:43:53,560 --> 00:43:56,440
Speaker 2: also read letters by hand and stuff like that. Maybe

819
00:43:56,440 --> 00:43:59,359
Speaker 2: that's it, that's my guess. But so you could make

820
00:43:59,400 --> 00:44:02,040
Speaker 2: a pretty good point that the TV weather caster is like,

821
00:44:02,560 --> 00:44:06,239
Speaker 2: you know, a walking dinosaur. They're they're doomed, right, Nah.

822
00:44:06,840 --> 00:44:09,080
Speaker 2: The thing is, no, you're right. The thing is is

823
00:44:09,560 --> 00:44:13,120
Speaker 2: if the Pew also did another poll where they asked

824
00:44:13,160 --> 00:44:16,000
Speaker 2: people like, what's the what's the most important part of

825
00:44:16,040 --> 00:44:20,400
Speaker 2: a local newscast, and everybody seventy percent of people said

826
00:44:20,480 --> 00:44:20,880
Speaker 2: the weather.

827
00:44:21,400 --> 00:44:22,280
Speaker 1: Yeah, it topped.

828
00:44:22,360 --> 00:44:26,160
Speaker 2: Crime. Sports was second to last, just above restaurants, clubs,

829
00:44:26,200 --> 00:44:31,400
Speaker 2: and bars, which I found really surprising. But because they

830
00:44:31,440 --> 00:44:35,480
Speaker 2: treat this sports department like they're just gods or something, Yeah,

831
00:44:35,520 --> 00:44:39,440
Speaker 2: so the weather person. As long as there's local news,

832
00:44:39,560 --> 00:44:41,800
Speaker 2: there's going to be weather people because they're the bright

833
00:44:42,320 --> 00:44:45,400
Speaker 2: shining star of the whole thing as far as the

834
00:44:45,480 --> 00:44:48,880
Speaker 2: viewing public goes, even if they're not particularly portrayed or

835
00:44:48,920 --> 00:44:52,000
Speaker 2: treated that way. Although it feels like in recent years

836
00:44:52,040 --> 00:44:55,120
Speaker 2: like they've started to really kind of spotlight the weather

837
00:44:55,160 --> 00:44:57,080
Speaker 2: person a little more and how smart they are and

838
00:44:57,160 --> 00:44:59,759
Speaker 2: reliable and how great their family thinks they are, like

839
00:45:00,120 --> 00:45:00,439
Speaker 2: the thing.

840
00:45:01,080 --> 00:45:03,000
Speaker 1: Yeah, and you know, I bet they had the same

841
00:45:03,000 --> 00:45:06,200
Speaker 1: fears just about local news period once national news became

842
00:45:06,200 --> 00:45:09,360
Speaker 1: a thing on TV. Yeah, and it'll always be around

843
00:45:09,440 --> 00:45:14,800
Speaker 1: because people I just think people like, uh, I like

844
00:45:15,080 --> 00:45:18,040
Speaker 1: that it's still on. I don't watch it, but I

845
00:45:18,080 --> 00:45:20,279
Speaker 1: love that. I mean the TV was on in a

846
00:45:20,719 --> 00:45:22,120
Speaker 1: restaurant I was at the night and that's where I

847
00:45:22,120 --> 00:45:25,359
Speaker 1: saw Ken Cook was still around. Yeah, like wow, look

848
00:45:25,400 --> 00:45:26,279
Speaker 1: at him still going.

849
00:45:26,600 --> 00:45:27,040
Speaker 2: Yeah.

850
00:45:27,080 --> 00:45:29,759
Speaker 1: And Jeff Hellndry used to be the sports guy. I

851
00:45:29,760 --> 00:45:31,120
Speaker 1: think he's an anchor now.

852
00:45:31,920 --> 00:45:35,000
Speaker 2: But that's the thing. I mean, like you can not

853
00:45:35,800 --> 00:45:38,320
Speaker 2: you know, participate or take part in something and still

854
00:45:38,360 --> 00:45:42,960
Speaker 2: be bummed if it isn't around anymore, you know. Yeah,

855
00:45:43,000 --> 00:45:48,280
Speaker 2: So there's another kind of route that some weather casters

856
00:45:48,320 --> 00:45:51,520
Speaker 2: are taking to wrap all this up, and that is

857
00:45:51,520 --> 00:45:55,040
Speaker 2: to basically interpret the weather as far as like climate

858
00:45:55,120 --> 00:45:58,160
Speaker 2: change goes. Yeah, and Dave put it really perfectly that

859
00:45:58,239 --> 00:46:02,400
Speaker 2: they're they're evolving into basic a science reporter who doesn't

860
00:46:02,440 --> 00:46:06,480
Speaker 2: just forecast the weather, but puts it into context, particularly

861
00:46:06,560 --> 00:46:09,839
Speaker 2: these days, in the context of climate change. Yeah, and

862
00:46:10,040 --> 00:46:13,000
Speaker 2: that's that's a pretty good new direction for them to

863
00:46:13,040 --> 00:46:15,040
Speaker 2: go in. It makes a lot of sense. And talk

864
00:46:15,080 --> 00:46:16,560
Speaker 2: about making yourself relevant.

865
00:46:17,160 --> 00:46:19,600
Speaker 1: Yeah, well, I mean, depending on what city you live in,

866
00:46:19,600 --> 00:46:23,880
Speaker 1: that's probably welcome or not welcome. I did see John Coleman.

867
00:46:23,920 --> 00:46:26,160
Speaker 1: I was looking trying to find clips of him on

868
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Speaker 1: YouTube and there was one I couldn't find out what

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00:46:29,680 --> 00:46:32,040
Speaker 1: year it was, but one where they he did a

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00:46:32,080 --> 00:46:35,840
Speaker 1: full segment poo pooing climate change basically in the data.

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00:46:36,360 --> 00:46:38,839
Speaker 1: Oh yeah, yeah, I thought it was pretty interesting, the.

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00:46:38,800 --> 00:46:42,879
Speaker 2: Guy who founded the Weather Channel. Yeah, okay, oh Man,

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00:46:42,920 --> 00:46:45,080
Speaker 2: that reminds me. There's a book called Merchants of Doubt

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00:46:45,080 --> 00:46:48,239
Speaker 2: I think I've talked about before, and it's like, it's

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00:46:48,400 --> 00:46:52,200
Speaker 2: really unnerving. It's about stuff like that. It's about people

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00:46:52,200 --> 00:46:54,400
Speaker 2: who don't I'm not accusing John Coleman to this, but

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00:46:54,440 --> 00:46:58,360
Speaker 2: it's about scientists who are basically paid by huge companies

878
00:46:58,400 --> 00:47:03,120
Speaker 2: to so out among the public about whether the science

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00:47:03,160 --> 00:47:06,440
Speaker 2: mind things like climate change or tobacco causing cancer was

880
00:47:06,480 --> 00:47:09,319
Speaker 2: actually legitimate or not and really set the world back

881
00:47:10,160 --> 00:47:12,560
Speaker 2: in all sorts of really evil ways. It's really tough

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00:47:12,560 --> 00:47:12,919
Speaker 2: to read.

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00:47:13,880 --> 00:47:14,960
Speaker 1: Hmm sounds fun.

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00:47:15,360 --> 00:47:17,640
Speaker 2: Yeah, really that was a weird way to end this episode,

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00:47:17,680 --> 00:47:18,880
Speaker 2: but that's how we're gonna end it.

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00:47:19,160 --> 00:47:21,040
Speaker 1: Yeah, I got nothing else, all right.

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00:47:20,960 --> 00:47:23,000
Speaker 2: Well, so Chuck said he's got nothing else. Everybody. That

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00:47:23,080 --> 00:47:24,279
Speaker 2: means the time for listener mail.

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00:47:26,880 --> 00:47:29,000
Speaker 1: This is about Dolly Parton. We had a fun recent

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Speaker 1: episode on Dolly her majesty and this is from John

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00:47:36,480 --> 00:47:40,440
Speaker 1: Pizeric who lives in Japan. Hey, guys, want to chime

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00:47:40,480 --> 00:47:43,680
Speaker 1: in with a fun Dolly Parton fact to just show

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00:47:43,680 --> 00:47:46,759
Speaker 1: how she's become incorporated in all sorts of cultures. I've

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00:47:46,760 --> 00:47:50,160
Speaker 1: included a picture for reference. But in dental school, when

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00:47:50,160 --> 00:47:52,800
Speaker 1: you learn to do fillings, we use a thin metal

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00:47:52,840 --> 00:47:56,120
Speaker 1: band to help shape the fillings for the tooth. However,

897
00:47:56,160 --> 00:47:59,640
Speaker 1: sometimes a feeling would be particularly deep or large, and

898
00:48:00,000 --> 00:48:02,040
Speaker 1: stead of using the standard type one band, you would

899
00:48:02,080 --> 00:48:04,480
Speaker 1: need to use a type two band. To help students

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00:48:04,520 --> 00:48:06,719
Speaker 1: remember what the Type two band looks like. They were

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00:48:06,760 --> 00:48:10,640
Speaker 1: effectionally known as the Dolly Parton band because of the

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00:48:10,719 --> 00:48:14,839
Speaker 1: bust like appearance she became famous for. And he's showing

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00:48:14,880 --> 00:48:17,600
Speaker 1: me these little bands in one. One just looks like

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00:48:17,640 --> 00:48:21,560
Speaker 1: a sort of a bent popsicle stick, like a boomerang

905
00:48:21,719 --> 00:48:25,520
Speaker 1: shaped popsicle stick. And one looks like a boomerang popsicle

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00:48:25,600 --> 00:48:31,960
Speaker 1: stick with boobs where the boomerang meets in the center. Yeah.

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00:48:32,000 --> 00:48:34,000
Speaker 1: I canly check that out, so that must be what

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00:48:34,040 --> 00:48:36,000
Speaker 1: he's talking about. I know Chuck has had his fair

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00:48:36,000 --> 00:48:39,080
Speaker 1: share of dental experience, would almost guarantee that most Dennis

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00:48:39,160 --> 00:48:40,839
Speaker 1: know the reference. If you were to bring this up,

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00:48:41,480 --> 00:48:43,319
Speaker 1: probably I'm going to do that, John, just so you know.

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00:48:44,680 --> 00:48:46,160
Speaker 1: Thank you for all you do. I wish my trip

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Speaker 1: to DC from Japan was able to coincide with your show,

914
00:48:49,480 --> 00:48:51,080
Speaker 1: but a glass is not the case.

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00:48:51,200 --> 00:48:52,880
Speaker 2: So sorry, John, Yeah, sorry about that.

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Speaker 1: John.

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Speaker 2: Well, thanks for a great email though. We appreciate that.

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Speaker 2: We always love learning new weird things, and that was

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00:48:58,880 --> 00:48:59,719
Speaker 2: a new weird.

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00:48:59,440 --> 00:49:02,000
Speaker 1: Thing for all right, Chuck, new for me.

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Speaker 2: If you want to get in touch with this, like

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Speaker 2: John did, send us an email. Send it off to

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Speaker 2: stuff Podcasts at iHeartRadio dot com.

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00:49:12,840 --> 00:49:15,719
Speaker 1: Stuff you Should Know is a production of iHeartRadio. For

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00:49:15,800 --> 00:49:19,960
Speaker 1: more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts,

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Speaker 1: or wherever you listen to your favorite shows.