WEBVTT - Smile

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<v Speaker 1>Welcome to stuff you should know, a production of iHeartRadio.

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<v Speaker 2>Hey, welcome to the podcast. I'm Josh and there's Chuck

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<v Speaker 2>Jersey too. This is stuff you should know. What in

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<v Speaker 2>the world is that I'm smiling from a year grinning

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<v Speaker 2>and when I grin, my teeth come together look a

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<v Speaker 2>bear trap.

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<v Speaker 3>Well, if you're smiling, I bet it's because we are

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<v Speaker 3>headed out to see everybody hm on a five nights

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<v Speaker 3>adults only rare voyage with Virgin Voyages. This is October

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<v Speaker 3>second through seventh, from New York City to Bermuda. We

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<v Speaker 3>will be doing our live show and we will be

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<v Speaker 3>joined by our colleagues and our old pals. Stuff they

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<v Speaker 3>don't want you to know and stuff Mom never told you.

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<v Speaker 2>That's right. So we are going to be there from

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<v Speaker 2>October second to seventh. I'm going to be on that

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<v Speaker 2>boat to Bermuda from New York and back. And you

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<v Speaker 2>can get more information where Chuck.

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<v Speaker 3>At Virgin Voyages dot com slash stuff. Come on hang

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<v Speaker 3>out with us on a boat.

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<v Speaker 2>Very nice. Yeah, I think we should specify you shouldn't

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<v Speaker 2>expect to be able to get runner with us because

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<v Speaker 2>you know we're happily married.

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<v Speaker 3>Yeah, that's right, And what happens at sea doesn't just

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<v Speaker 3>stay at sea. That travels back home and you get divorced.

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<v Speaker 2>That's right. Yeah, and you have to go to the

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<v Speaker 2>doctor sometimes too.

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<v Speaker 1>Yeah, you don't want that.

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<v Speaker 2>So we're talking today about smiling. I think it's appropriate

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<v Speaker 2>that I said I'm happily married because you me actually

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<v Speaker 2>requested this so long ago that when I went to

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<v Speaker 2>her last week and was like, do you remember what

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<v Speaker 2>prompted you to request smiling a long time ago? And

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<v Speaker 2>she's like, I don't remember requesting smiling. So yeah, it'll

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<v Speaker 2>forever be a mystery. But I'm glad that we're doing

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<v Speaker 2>this one because we've done like all sorts of other

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<v Speaker 2>stuff laughing discuss the scream forgiveness, Like there's just this

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<v Speaker 2>whole like aspect of human personality. Sweet that is just

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<v Speaker 2>kind of slowly assembling into one great person, you know.

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<v Speaker 1>That's right.

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<v Speaker 3>And we did an episode in the early days, I

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<v Speaker 3>think when we were but three years old, we were

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<v Speaker 3>podcast toddlers, Yeah, on whether or not smiling makes you happy.

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<v Speaker 3>So we're gonna recover a bit of that toward the end.

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<v Speaker 3>Little but we should probably start out by letting everyone

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<v Speaker 3>know that you use muscles when you smile.

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<v Speaker 1>It is all muscle movement.

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<v Speaker 3>And if you want to compare a smile to like

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<v Speaker 3>other dumb, boring muscles, the reason you can smile and

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<v Speaker 3>make like weird kind of faces just because you have

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<v Speaker 3>a lot of fast twitch myosin fibers in your face. Yeah,

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<v Speaker 3>and that's why you can. Like, that's why you can't

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<v Speaker 3>make a face with your bicep.

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<v Speaker 2>I kind of can. It looks like a messed up face,

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<v Speaker 2>but it's still somebody. It would be like, I see

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<v Speaker 2>the face in there. It looks a little like mister Bill.

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<v Speaker 3>Now you can make a kick drum beat when you

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<v Speaker 3>flex those babies.

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<v Speaker 2>That's with my other one, So like I make mister

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<v Speaker 2>Bill's mouth open and close to the kick drum beat

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<v Speaker 2>from my other bicep.

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<v Speaker 3>But how do we compare to our primate friends?

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<v Speaker 2>Oh? Well, actually, it turns out, Chuck, I thought this

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<v Speaker 2>was quite interesting that our primates are actually our primate

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<v Speaker 2>friends are actually more expressive facially because they don't speak.

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<v Speaker 1>That's right, that's.

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<v Speaker 2>The idea behind the whole thing. We do know that

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<v Speaker 2>primates typically are more expressive through their faces than humans are,

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<v Speaker 2>and that the idea behind it, or the explanation for

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<v Speaker 2>it is that humans require more slow twitch muscles, the

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<v Speaker 2>bigger muscles to talk, to move our faces in our

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<v Speaker 2>mouths to talk, which primates don't have to do. So

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<v Speaker 2>we essentially, basically our fast twitch muscles evolved into more

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<v Speaker 2>slow twitch muscles. But we're still pretty expressive. So don't

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<v Speaker 2>be too sad.

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<v Speaker 1>Yeah, for sure.

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<v Speaker 3>If you've ever you know, heard people say it takes

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<v Speaker 3>more muscles to frown than it does to smile, first

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<v Speaker 3>of all, lightly slap that person in the face with

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<v Speaker 3>a feather. Next, move along and say, you know what,

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<v Speaker 3>prove it because I looked and I couldn't. You know,

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<v Speaker 3>first of all, it's a very nuanced thing, like there

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<v Speaker 3>are a lot of different smiles and a lot of

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<v Speaker 3>different frowns. Yeah, that's a big point, and each of

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<v Speaker 3>those different ones, like you know, takes different muscles to

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<v Speaker 3>make those. So for someone just to sort of flatly say,

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<v Speaker 3>you know, it takes twenty two muscles to smile and

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<v Speaker 3>a hundred to frown, right, that's I can't couldn't find

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<v Speaker 3>anything that could verify that is true. Or like I

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<v Speaker 3>guess the message that they're sending is don't use your muscles.

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<v Speaker 3>It's better to not use your muscles.

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<v Speaker 2>Right, Why bother just smile? Yeah, it's funny. I looked

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<v Speaker 2>all over too, and all I could find were dentists' websites,

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<v Speaker 2>which were pretty pretty competent about that as.

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<v Speaker 1>Right back, Well, four out of five work.

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<v Speaker 2>But you said that your you're that was great? Uh?

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<v Speaker 2>You said that your your smiles all include muscles, and

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<v Speaker 2>not just yours, chuck, but all people's. That's right, and

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<v Speaker 2>it includes a very particular muscle, I think one on

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<v Speaker 2>each side, the zygomaticus major. These actually pull your your

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<v Speaker 2>the sides of your mouth up. So I guess the

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<v Speaker 2>joker when his face was slashed, it somehow made his

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<v Speaker 2>zygomatic kiss major constantly contracted.

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<v Speaker 1>That's right.

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<v Speaker 2>I just want to say, I'm not sure what's wrong

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<v Speaker 2>with me right now. I realize that I'm stammering and

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<v Speaker 2>having a lot of trouble. Hopefully my brain will reset

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<v Speaker 2>while you're talking next.

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<v Speaker 3>Now I have but noticing that I think you're doing great.

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<v Speaker 3>So there are actual people who and boy, they've done

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<v Speaker 3>a lot of research on smiling and stuff. As we go,

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<v Speaker 3>like you'll probably be at how much time and money

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<v Speaker 3>people have put into this kind of thing. But they

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<v Speaker 3>have done research and actually sort of like coded the

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<v Speaker 3>face and the system of muscles, so they know like

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<v Speaker 3>what each group does, the facial action coding system what

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<v Speaker 3>it's called the facts, just the facts.

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<v Speaker 2>I'm going with faces.

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<v Speaker 3>Yeah, they couldn't come up with a knee.

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<v Speaker 2>I think it's implied.

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<v Speaker 3>Okay, I'm gonna go with just the faces then.

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<v Speaker 2>Okay.

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<v Speaker 3>So they, like I said, they made various codes for

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<v Speaker 3>these muscle movements and assign like names to them. And

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<v Speaker 3>they know that all smiles involve action unit twelve, which

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<v Speaker 3>is both of those zygomaticus major muscles contracting, and you

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<v Speaker 3>know you said, they raise them up or they also

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<v Speaker 3>raise them out because you'll see, when you smile your smile,

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<v Speaker 3>your mouth gets wider as well.

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<v Speaker 2>And the whole world smiles with you.

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<v Speaker 1>That's right.

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<v Speaker 3>But if you're really happy and you're not, and we'll

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<v Speaker 3>talk about the different kinds of smiles, like including fake smiles,

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<v Speaker 3>but if you're really genuinely happy with something and smiling

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<v Speaker 3>from joy or you know, being alive, that means your

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<v Speaker 3>eyes are involved, and that is action unit six.

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<v Speaker 2>Yes, so a couple of things here. Action unit twelve

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<v Speaker 2>I think is the pinnacle of band names that we've

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<v Speaker 2>ever covered.

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<v Speaker 3>It's pretty darn good.

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<v Speaker 2>Not only is a great name if you dig into

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<v Speaker 2>what it means, you're talking about smiling. It's the name

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<v Speaker 2>for smiling, so that's pretty awesome, but it also has

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<v Speaker 2>a built in abbreviation that's great too, AU twelve, maybe

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<v Speaker 2>even AU one two.

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<v Speaker 3>Oh yeah, so you've got on a logo or whatever.

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<v Speaker 2>I really genuinely think that is the best band name

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<v Speaker 2>we've ever stumbled upon.

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<v Speaker 3>So did that just unseed Frozen Poop Knife?

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<v Speaker 2>I think so they could go on tour together? But

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<v Speaker 2>does that mean we retire this bit I don't know

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<v Speaker 2>chuck as possible.

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<v Speaker 3>Well, well, here's the deal, I think if we if

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<v Speaker 3>we don't retire it, we will just have to mention

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<v Speaker 3>almost every time from now unlike but it's no AU twelve.

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<v Speaker 2>Okay, okay, but yes, all apologies to Frozen Poop Knife.

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<v Speaker 2>We will will never forget you and we'll bring you

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<v Speaker 2>up still.

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<v Speaker 3>Yeah, they just kicked over their kick drum.

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<v Speaker 2>So the no, that was my bicep. So if you

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<v Speaker 2>take Action Unit twelve and Action Unit six together, that's

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<v Speaker 2>what's known as the Duchen Smile and We definitely talked

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<v Speaker 2>about Gillom Duschen in our Can Smiling Make You Happy? Episode?

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<v Speaker 3>Right, Yeah, And in fact I think we called them

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<v Speaker 3>Dushane because the the translator spelled it whacky. How oh,

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<v Speaker 3>I mean different things kine k A I n E,

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<v Speaker 3>Shane s h A n E. That's two different names. Yeah,

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<v Speaker 3>it's you know, go aa translator, I guess.

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<v Speaker 2>Yeah, but we're gonna go with g Duschen this time,

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<v Speaker 2>who was a French neurologist. He also was dabbling with

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<v Speaker 2>electricity and photography. I saw that he basically existed at

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<v Speaker 2>this neat crossroad of three emergent sciences that were coming

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<v Speaker 2>out at the same time. This guy put them all

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<v Speaker 2>the use and he stimulated people's facial muscles with electricity.

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<v Speaker 2>There's an extensive set of photographs of him doing this

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<v Speaker 2>to this poor guy. And this guy's making all these

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<v Speaker 2>weird facial expressions and Dushen is coating all of them.

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<v Speaker 2>But it's kind of hysterical to think that, like, this

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<v Speaker 2>guy's not purposely making these He's being zapped with electricity

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<v Speaker 2>and that's what's making them because the correct muscle combination

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<v Speaker 2>is being zapped. Right then by Duschen.

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<v Speaker 1>Yeah, that's pretty funny stuff.

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<v Speaker 3>So he claimed, and this was sort of a and

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<v Speaker 3>I think people thought this was true for a while.

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<v Speaker 3>Was you know this notion that you can you can

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<v Speaker 3>tell a fake smile by the eyes, and that's sort

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<v Speaker 3>of the dead giveaway. And he may have not reinforced it,

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<v Speaker 3>but he may have sort of planted that seed when

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<v Speaker 3>he said that the orbicularis oculi, which is action unit

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<v Speaker 3>six that we talked about the eyes that would only

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<v Speaker 3>contract due to the sweet emotions of the soul, which

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<v Speaker 3>is a very nice thing to say, but it turns

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<v Speaker 3>out that's probably not true.

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<v Speaker 2>No people can, including Tyra Banks, can make yourself or

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<v Speaker 2>make themselves up'm sorry, smile with their eyes. But there

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<v Speaker 2>does seem to be some disagreement on whether that can

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<v Speaker 2>fully be ever fully be reproduced voluntarily. And I like

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<v Speaker 2>to think that it can't be that there's still some

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<v Speaker 2>smile out there that's so genuine that it can't voluntarily

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<v Speaker 2>be reproduced fully.

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<v Speaker 3>Yeah, I think what the deal is is there are

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<v Speaker 3>some people who are probably so good at the fake

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<v Speaker 3>smile that you just don't realize it.

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<v Speaker 2>Yeah, be aware of those people.

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<v Speaker 3>Of those things can be true I think what you

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<v Speaker 3>said is definitely true.

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<v Speaker 2>Thanks. Man. I want to say one other thing about

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<v Speaker 2>AU six Action Unit six. If you go and look

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<v Speaker 2>at the faces, coatings or facts, it's just like strips

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<v Speaker 2>of like the mouth or the eyes or something like that.

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<v Speaker 2>And for Action Unit six, it is a strip of

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<v Speaker 2>my eyes. It is very clearly somebody took my photo

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<v Speaker 2>and just cut out the eyes. Wow, and it's just

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<v Speaker 2>showing that it looks exactly like my eyes. Dude, you

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<v Speaker 2>should go look.

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<v Speaker 1>Send me a screenshot. I'm not going to look it up.

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<v Speaker 2>Okay, I will eventually see.

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<v Speaker 1>That's the agreement we came to.

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<v Speaker 2>Okay, I think that's fair enough.

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<v Speaker 3>Two guys who do research for a living. You can't

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<v Speaker 3>make the other one look anything up.

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<v Speaker 2>No, we just send screenshot.

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<v Speaker 3>So if we're talking about evolution, like, it's a pretty

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<v Speaker 3>human thing to just you know, be alive in the

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<v Speaker 3>world and smile because you're feeling good and having a

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<v Speaker 3>good day. If you look at something in the like

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<v Speaker 3>a somebody from the primate kingdom and you see that

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<v Speaker 3>teeth like you, man, I've seen those chimpanzees beare those

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<v Speaker 3>teeth and everyone's like, oh, they're so happy and that's

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<v Speaker 3>actually not what they're trying to say to you, And

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<v Speaker 3>it doesn't mean they're trying to kill you right then either.

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<v Speaker 3>But it's a sign of submission, apparently.

0:12:23.800 --> 0:12:24.160
<v Speaker 1>I don't know.

0:12:24.200 --> 0:12:26.240
<v Speaker 3>I always I didn't. Never took it as they always

0:12:26.280 --> 0:12:27.959
<v Speaker 3>look stressed out to me, like when I see a

0:12:28.040 --> 0:12:29.400
<v Speaker 3>chimpanzee bear their teeth like that.

0:12:30.440 --> 0:12:34.600
<v Speaker 2>Yeah, I've seen them. It depends on I think it

0:12:34.600 --> 0:12:36.280
<v Speaker 2>depends on the rest of the face, because I can

0:12:36.320 --> 0:12:39.719
<v Speaker 2>bring to mind images of chimps doing that. The one

0:12:39.760 --> 0:12:42.480
<v Speaker 2>I bring to mind more is Clyde from every which

0:12:42.480 --> 0:12:44.480
<v Speaker 2>Way but Loose doing that orangutang.

0:12:44.679 --> 0:12:44.920
<v Speaker 1>Yeah.

0:12:44.960 --> 0:12:47.600
<v Speaker 2>Man, he definitely did that, and he didn't seem stressed out,

0:12:47.640 --> 0:12:49.560
<v Speaker 2>but they definitely played it like he was laughing or

0:12:49.559 --> 0:12:51.120
<v Speaker 2>something like that, and he surely wasn't.

0:12:51.240 --> 0:12:51.839
<v Speaker 1>Yeah, for sure.

0:12:52.880 --> 0:12:55.199
<v Speaker 2>One of the things about that, though Chuck is smiling

0:12:55.679 --> 0:13:00.000
<v Speaker 2>through submission, that is that still survived into humans for sure.

0:13:00.520 --> 0:13:03.800
<v Speaker 2>Like that is something that we do not just to

0:13:03.800 --> 0:13:07.640
<v Speaker 2>say like you're an alpha, I'm a beta, but also

0:13:07.720 --> 0:13:10.439
<v Speaker 2>to say like, hey, I just want to get along,

0:13:10.520 --> 0:13:13.800
<v Speaker 2>no stress over here, yeah, yeah, or you know, to

0:13:15.040 --> 0:13:18.960
<v Speaker 2>to basically not be tense or if an awkward pause

0:13:19.000 --> 0:13:21.600
<v Speaker 2>comes both people might kind of smile or something like that.

0:13:22.200 --> 0:13:24.240
<v Speaker 2>All of that is essentially the same thing as a

0:13:24.360 --> 0:13:26.840
<v Speaker 2>chimp smiling to signal submission.

0:13:26.960 --> 0:13:27.640
<v Speaker 1>Yeah, for sure.

0:13:28.080 --> 0:13:30.040
<v Speaker 3>There was a paper in nineteen seventy nine, a pretty

0:13:30.040 --> 0:13:35.040
<v Speaker 3>classic smiling paper where these psychologists Robert Crouton, Robert Johnston,

0:13:35.720 --> 0:13:39.040
<v Speaker 3>they were notating how people reacted when they went bowling

0:13:39.040 --> 0:13:41.720
<v Speaker 3>together and found they were more likely to smile when

0:13:41.960 --> 0:13:46.040
<v Speaker 3>just like hanging out and talking than after getting a strike, which,

0:13:46.160 --> 0:13:49.120
<v Speaker 3>like that totally tracks because like when you get a strike, you're.

0:13:48.960 --> 0:13:51.079
<v Speaker 1>Supposed to be that cool, like you meant to do that.

0:13:51.120 --> 0:13:54.080
<v Speaker 1>You're not supposed to turn around and go right.

0:13:54.679 --> 0:13:57.520
<v Speaker 2>For sure. I read a little more about that study.

0:13:57.600 --> 0:14:02.400
<v Speaker 2>One participant, Hayesus, never smiled and another participant, inn Amish

0:14:02.440 --> 0:14:04.960
<v Speaker 2>man named Ishmael smiled almost constantly.

0:14:05.440 --> 0:14:07.319
<v Speaker 3>Well, I think we might want to talk about a

0:14:07.360 --> 0:14:10.080
<v Speaker 3>little bit, and I know we've covered this before, was

0:14:10.600 --> 0:14:13.240
<v Speaker 3>baby smiling, because it's about one of the cutest darned

0:14:13.240 --> 0:14:15.480
<v Speaker 3>things in the world is when you see a little

0:14:15.480 --> 0:14:19.480
<v Speaker 3>baby smile at you. That does happen very early. Very

0:14:19.520 --> 0:14:23.680
<v Speaker 3>newborn infants can smile, but those are sort of just

0:14:23.880 --> 0:14:28.320
<v Speaker 3>random smiles like they may have farted or something and

0:14:28.400 --> 0:14:31.640
<v Speaker 3>are smiling because it's funny. They'll learn that a little

0:14:31.640 --> 0:14:34.080
<v Speaker 3>bit later, and not because they lit it on fire.

0:14:34.120 --> 0:14:36.040
<v Speaker 3>They'll learn that probably in their tween years.

0:14:36.520 --> 0:14:38.280
<v Speaker 2>That's dangerous, is it?

0:14:38.320 --> 0:14:38.600
<v Speaker 1>Really?

0:14:39.600 --> 0:14:42.800
<v Speaker 2>I've always heard why not? You never let a part

0:14:43.720 --> 0:14:46.120
<v Speaker 2>I have, but I escaped by the skin of my teeth.

0:14:48.360 --> 0:14:51.080
<v Speaker 3>It's usually just sort of a random occurrence when a

0:14:51.200 --> 0:14:55.200
<v Speaker 3>very newborn baby smiles about four to six weeks. They

0:14:55.280 --> 0:14:57.320
<v Speaker 3>start smiling when they wake up and they see you

0:14:57.520 --> 0:15:00.240
<v Speaker 3>or hear you, as we'll see, but it's still sort

0:15:00.240 --> 0:15:04.240
<v Speaker 3>of indiscriminate. It seems like the social smiling that starts

0:15:04.280 --> 0:15:07.000
<v Speaker 3>at about six to twelve weeks when they're like, hey,

0:15:07.680 --> 0:15:10.240
<v Speaker 3>I see mom or dad or whoever I like to

0:15:10.240 --> 0:15:12.520
<v Speaker 3>see or I hear their voice, and that makes me

0:15:12.560 --> 0:15:13.920
<v Speaker 3>happy exactly.

0:15:13.960 --> 0:15:18.320
<v Speaker 2>But apparently they're also master manipulators, because they've been found

0:15:18.320 --> 0:15:23.080
<v Speaker 2>to time their smiles to maximize smiling from their caretaker,

0:15:23.840 --> 0:15:26.320
<v Speaker 2>so like they'll give you a smile so that you'll

0:15:26.360 --> 0:15:28.280
<v Speaker 2>smile at them for thirty seconds, and they'll flash you

0:15:28.360 --> 0:15:30.840
<v Speaker 2>another one, and there you go, you're smiling again. They

0:15:30.960 --> 0:15:32.640
<v Speaker 2>learn to do that like really early.

0:15:32.760 --> 0:15:34.720
<v Speaker 3>Yeah, I wonder if twins are ever like, hey, watch this.

0:15:35.880 --> 0:15:39.840
<v Speaker 2>Kind of I'm sure did you see that link I

0:15:39.880 --> 0:15:43.000
<v Speaker 2>sent you to this about the study of baby smiling

0:15:43.400 --> 0:15:47.000
<v Speaker 2>in you to row. Yeah, if you want your paper

0:15:47.120 --> 0:15:50.560
<v Speaker 2>to make the national news, just make it on baby smiles.

0:15:51.200 --> 0:15:53.760
<v Speaker 2>But this paper from twenty twenty two in the Journal

0:15:53.800 --> 0:16:00.400
<v Speaker 2>of Psychological Science. They gave pregnant women carrot pills or

0:16:00.680 --> 0:16:04.520
<v Speaker 2>kale pills, and when the women ate carrot pills, the

0:16:04.600 --> 0:16:08.040
<v Speaker 2>babies smiled like fifteen twenty minutes later as it was

0:16:08.080 --> 0:16:12.080
<v Speaker 2>digested and reached them. When they ate kale, the baby's grimaced.

0:16:12.560 --> 0:16:14.080
<v Speaker 3>I wonder what they did when they gave them the

0:16:14.160 --> 0:16:15.280
<v Speaker 3>Reese's peanut butter cup.

0:16:17.320 --> 0:16:19.080
<v Speaker 2>They just started doing three sixties.

0:16:19.200 --> 0:16:20.600
<v Speaker 1>Yeah, they started break dancing.

0:16:21.440 --> 0:16:23.520
<v Speaker 2>But one other thing about the study, Chuck that one

0:16:23.560 --> 0:16:26.600
<v Speaker 2>of the co authors was named Jacqueline Blissett.

0:16:27.040 --> 0:16:28.240
<v Speaker 1>Uh, that's funny.

0:16:28.960 --> 0:16:30.680
<v Speaker 2>I mean it's true though, I think it's great.

0:16:31.040 --> 0:16:34.000
<v Speaker 3>No, I know, but it's still funny, right, Okay.

0:16:33.320 --> 0:16:37.200
<v Speaker 2>Well, yeah, I wonder though if they're her parents were like,

0:16:37.880 --> 0:16:39.760
<v Speaker 2>we love Charlie's Angels that much.

0:16:41.560 --> 0:16:43.040
<v Speaker 1>I don't get the Charlie's Angels ref.

0:16:43.560 --> 0:16:47.440
<v Speaker 2>Oh, Jacqueline Bassett was the she was the best Charlie's

0:16:47.480 --> 0:16:49.400
<v Speaker 2>Angel if you ask me one of the original three.

0:16:50.360 --> 0:16:51.880
<v Speaker 1>She wasn't in Charlie's Angels.

0:16:52.240 --> 0:16:53.120
<v Speaker 2>Jacqueline Bassett.

0:16:54.280 --> 0:16:55.640
<v Speaker 1>I don't know who you're thinking of, buddy.

0:16:56.560 --> 0:16:59.080
<v Speaker 2>All right now, we do need to look something up.

0:17:00.640 --> 0:17:03.720
<v Speaker 3>You go ahead, Okay, I'll go ahead, all right. So

0:17:04.600 --> 0:17:07.320
<v Speaker 3>I mentioned hearing and planning a little seed there that

0:17:07.400 --> 0:17:12.080
<v Speaker 3>a little infant maybe hearing something could make them smile.

0:17:12.280 --> 0:17:14.760
<v Speaker 3>And they know this stuff because you know, they've done

0:17:14.800 --> 0:17:18.639
<v Speaker 3>studies on whether smiles are innate or imitative. And so

0:17:19.080 --> 0:17:20.560
<v Speaker 3>if you're going to do a study like this, you

0:17:20.680 --> 0:17:24.719
<v Speaker 3>might want to study babies who are congenually blind. And

0:17:24.760 --> 0:17:27.440
<v Speaker 3>they have found that it really doesn't make a difference.

0:17:28.280 --> 0:17:31.320
<v Speaker 3>Blind infants start to smile in response to that voice,

0:17:31.720 --> 0:17:34.639
<v Speaker 3>just like cited babies too. And they did another study

0:17:35.160 --> 0:17:38.879
<v Speaker 3>of congenitally blind athletes at the Paralympic Games, and this

0:17:38.920 --> 0:17:41.240
<v Speaker 3>one had was from twenty three different cultures, because, as

0:17:41.240 --> 0:17:44.200
<v Speaker 3>we'll see, different cultures like smiles might mean different things

0:17:44.760 --> 0:17:49.399
<v Speaker 3>and had the same They had the same spontaneous expressions

0:17:49.480 --> 0:17:51.600
<v Speaker 3>as sided counterparts, sort of across the board.

0:17:51.960 --> 0:17:58.240
<v Speaker 2>Yeah, which is pretty awesome. They also found that the

0:17:58.359 --> 0:18:02.119
<v Speaker 2>children who were studied. I don't remember what study this

0:18:02.280 --> 0:18:05.760
<v Speaker 2>was in, but basically they observed children who were given

0:18:05.920 --> 0:18:11.240
<v Speaker 2>reasons to basically mask disappointment with a smile. And apparently,

0:18:11.320 --> 0:18:15.119
<v Speaker 2>and this is for real, like play schoolers or nursery schoolers.

0:18:15.160 --> 0:18:18.000
<v Speaker 2>They had them make lists of toys they wanted, and

0:18:18.000 --> 0:18:20.400
<v Speaker 2>then they gave them a toy that they hadn't asked for,

0:18:21.080 --> 0:18:24.760
<v Speaker 2>and the kid would mask their disappointment with a little smile.

0:18:25.040 --> 0:18:27.600
<v Speaker 2>And they found that sighted and non cited kids basically

0:18:27.640 --> 0:18:30.480
<v Speaker 2>made the same facial expressions in that situation too.

0:18:30.760 --> 0:18:33.399
<v Speaker 3>Yeah, amazing. Did you look up Charlie's Angels?

0:18:33.680 --> 0:18:35.040
<v Speaker 2>Yeah? I did. I was hoping you.

0:18:35.040 --> 0:18:36.639
<v Speaker 1>Would forget Jacqueline Smith.

0:18:38.040 --> 0:18:39.840
<v Speaker 3>Oh yeah, you got Jacqueline right.

0:18:41.240 --> 0:18:43.480
<v Speaker 2>Well, we might just take out the whole thing.

0:18:44.240 --> 0:18:47.840
<v Speaker 3>All you never know, all right, Uh, well, I guess

0:18:47.840 --> 0:18:48.200
<v Speaker 3>we'll see.

0:18:48.200 --> 0:18:51.040
<v Speaker 1>We'll let the listener decide.

0:18:51.880 --> 0:18:53.240
<v Speaker 2>I don't know if that's possible.

0:18:53.359 --> 0:18:55.280
<v Speaker 1>Well, not decide, but decide how they feel about it.

0:18:55.920 --> 0:18:58.920
<v Speaker 2>Okay, but they won't know about it if we took

0:18:58.920 --> 0:18:59.280
<v Speaker 2>it out.

0:18:59.600 --> 0:19:01.200
<v Speaker 3>Well, but they wouldn't even hear what I just said

0:19:01.200 --> 0:19:01.800
<v Speaker 3>then either.

0:19:02.400 --> 0:19:06.359
<v Speaker 2>No, we should leave this part in and really confuse everybody.

0:19:07.160 --> 0:19:11.359
<v Speaker 3>Oh man, I brought up cultural differences. Jacqueline Smith is

0:19:11.400 --> 0:19:12.080
<v Speaker 3>eighty years old.

0:19:12.880 --> 0:19:14.680
<v Speaker 2>Oh wow, how's she doing?

0:19:15.400 --> 0:19:18.040
<v Speaker 3>She's doing great. Hey, listen, I'm not one to comment

0:19:18.080 --> 0:19:20.760
<v Speaker 3>on people's appearance, because I know that's untoward. Sure, but

0:19:21.240 --> 0:19:23.199
<v Speaker 3>Jacqueline Smith does not look like any other eighty year

0:19:23.240 --> 0:19:24.040
<v Speaker 3>old that I've ever seen.

0:19:24.960 --> 0:19:27.840
<v Speaker 2>She is the best angel? You agree, right?

0:19:29.200 --> 0:19:32.000
<v Speaker 3>Yeah? She was my favorite. I think, good actor. I

0:19:32.000 --> 0:19:33.440
<v Speaker 3>think I had a pretty big crush on her.

0:19:34.240 --> 0:19:37.119
<v Speaker 2>Sure, I mean, for sure, I think everybody had a

0:19:37.160 --> 0:19:39.879
<v Speaker 2>crush on all of the Charlie's Angels to some extent.

0:19:40.200 --> 0:19:42.600
<v Speaker 3>Yeah, but I'm with you. I think Jacqueline Smith was

0:19:42.640 --> 0:19:43.879
<v Speaker 3>definitely the top angel.

0:19:44.640 --> 0:19:46.520
<v Speaker 2>Yeah. She was great in The Deep too.

0:19:47.040 --> 0:19:49.119
<v Speaker 1>Oh yeah, that was a good movie.

0:19:49.320 --> 0:19:50.880
<v Speaker 2>I was trying to make a joke. I thought that

0:19:50.920 --> 0:19:52.560
<v Speaker 2>was Jacqueline Bessett, who's in the Deep?

0:19:52.800 --> 0:19:54.760
<v Speaker 1>Oh wait, she was in the Deep?

0:19:56.800 --> 0:19:59.280
<v Speaker 2>Yeah, oh boy, we're going to take that part out too.

0:19:59.359 --> 0:20:02.600
<v Speaker 3>Oh Oka, Jerry's gonna have fun with this one. Excuse me, Like,

0:20:02.760 --> 0:20:04.040
<v Speaker 3>I'm gonna pass this one on to Ben.

0:20:04.359 --> 0:20:05.280
<v Speaker 1>I got stuff going on.

0:20:06.359 --> 0:20:09.840
<v Speaker 2>Can't you hear people being like, get back to smiling?

0:20:10.240 --> 0:20:13.600
<v Speaker 3>I know, all right, back to smiling. I mentioned different cultures,

0:20:13.600 --> 0:20:15.800
<v Speaker 3>because you know, there's the idea of like what if

0:20:15.840 --> 0:20:17.840
<v Speaker 3>I'm in a different culture and I like smile at

0:20:17.880 --> 0:20:20.600
<v Speaker 3>someone and that actually means like I hate what you

0:20:20.680 --> 0:20:23.280
<v Speaker 3>just fed me or something like that. So they've done

0:20:23.280 --> 0:20:26.640
<v Speaker 3>a lot of studying over the years. There's in the sixties,

0:20:26.680 --> 0:20:29.800
<v Speaker 3>it was a psychologist named Paul Ekman who did experiments

0:20:29.880 --> 0:20:33.080
<v Speaker 3>where they just showed images of faces to different cultures

0:20:33.119 --> 0:20:35.520
<v Speaker 3>and then like had them pick from a list on

0:20:35.560 --> 0:20:38.520
<v Speaker 3>what emotion that was. And he was like, all right,

0:20:38.760 --> 0:20:41.920
<v Speaker 3>here's what I came up with. There are six universal

0:20:41.920 --> 0:20:47.840
<v Speaker 3>facial expressions. Only six anger, disgust, enjoyment, fear, sadness, and surprise.

0:20:48.520 --> 0:20:51.240
<v Speaker 3>Later he said contempt. All right, there is a seventh.

0:20:51.680 --> 0:20:54.480
<v Speaker 3>We'll add contempt. But a lot of people have picked

0:20:54.520 --> 0:20:58.600
<v Speaker 3>that apart because he it was multiple choice, and they're like,

0:20:58.640 --> 0:21:00.840
<v Speaker 3>it's probably a better study, and people have done it

0:21:00.880 --> 0:21:03.240
<v Speaker 3>since if you just show them pictures and have them

0:21:03.280 --> 0:21:05.600
<v Speaker 3>like write down what that is and not to pick

0:21:05.640 --> 0:21:06.520
<v Speaker 3>from your list.

0:21:07.359 --> 0:21:10.040
<v Speaker 2>Right, And he also was over their shoulder pointing to

0:21:10.080 --> 0:21:11.640
<v Speaker 2>the correct answer whenever.

0:21:11.480 --> 0:21:12.560
<v Speaker 1>They would exactly.

0:21:13.840 --> 0:21:15.919
<v Speaker 2>But that's not to say that he was wrong. It

0:21:15.960 --> 0:21:18.960
<v Speaker 2>does turn out that subsequent research and a lot of

0:21:19.000 --> 0:21:24.159
<v Speaker 2>it has essentially found that, Yeah, there's pretty much universal

0:21:24.160 --> 0:21:30.280
<v Speaker 2>agreement on what facial expressions mean. There's a lot of disagreement,

0:21:30.359 --> 0:21:32.480
<v Speaker 2>but for the most part, you're going to find the

0:21:32.560 --> 0:21:37.240
<v Speaker 2>vast majority look at someone smiling and associate that with happiness.

0:21:37.480 --> 0:21:40.000
<v Speaker 3>Yeah, I think there's some nuance in there, depending on

0:21:40.040 --> 0:21:44.320
<v Speaker 3>where you are. Interestingly, they did find that people smile

0:21:44.480 --> 0:21:48.560
<v Speaker 3>more in countries that have a lot of immigration as

0:21:48.560 --> 0:21:50.440
<v Speaker 3>a whole, Countries that are like the United States, that

0:21:50.480 --> 0:21:53.119
<v Speaker 3>are formed from people from all over the world.

0:21:53.480 --> 0:21:55.080
<v Speaker 1>Melting pot, yeah, like.

0:21:55.160 --> 0:21:58.200
<v Speaker 3>Brazil is another one, And some researchers have put out

0:21:58.240 --> 0:22:01.359
<v Speaker 3>and make sense to me that, like, Yeah, when you

0:22:01.400 --> 0:22:03.040
<v Speaker 3>have a bunch of people living in a melting pot,

0:22:03.080 --> 0:22:06.600
<v Speaker 3>people generally want to get along, so they're probably using

0:22:06.600 --> 0:22:10.120
<v Speaker 3>a smile more than you might in a country where

0:22:10.240 --> 0:22:11.720
<v Speaker 3>like most people are from there.

0:22:12.080 --> 0:22:14.879
<v Speaker 2>Yeah, it's like a nonverbal way of saying like, hey friendly,

0:22:14.920 --> 0:22:16.000
<v Speaker 2>I'm friendly too. Great.

0:22:16.080 --> 0:22:18.040
<v Speaker 1>Yeah, it totally makes sense. I think.

0:22:18.880 --> 0:22:22.800
<v Speaker 2>Also this one, I was unsure about countries with low

0:22:22.840 --> 0:22:26.959
<v Speaker 2>population densities. They have more room to smile, I don't know,

0:22:27.280 --> 0:22:30.320
<v Speaker 2>or they just have fewer other people to deal with.

0:22:30.440 --> 0:22:32.000
<v Speaker 2>Those are my two interpretations.

0:22:32.240 --> 0:22:33.880
<v Speaker 1>Yeah, I agree, But like you said.

0:22:33.720 --> 0:22:38.800
<v Speaker 2>There are some nuance to the whole thing. In East Asia,

0:22:39.560 --> 0:22:45.119
<v Speaker 2>specifically in Japan and China, they basically emphasize the eyes

0:22:45.240 --> 0:22:48.480
<v Speaker 2>like that's where the smile lay in action unit six

0:22:49.560 --> 0:22:55.200
<v Speaker 2>me essentially, and they don't even apparently use the curved

0:22:55.440 --> 0:22:58.919
<v Speaker 2>line for a smile on their emoticons. It's just the

0:22:58.960 --> 0:23:03.880
<v Speaker 2>eyes as triangles, basically simulating action unit six.

0:23:04.119 --> 0:23:07.000
<v Speaker 3>Yeah, that's kind of fun. Another thing that smiling conveys,

0:23:07.160 --> 0:23:08.800
<v Speaker 3>or at least I don't know if it conveys it,

0:23:08.840 --> 0:23:11.280
<v Speaker 3>but people take it this way is they find people

0:23:11.320 --> 0:23:14.440
<v Speaker 3>not only happier but more competent and attractive generally when

0:23:14.440 --> 0:23:15.040
<v Speaker 3>they're smiling.

0:23:15.119 --> 0:23:16.920
<v Speaker 2>Sure, give me a smile, baby.

0:23:16.840 --> 0:23:19.440
<v Speaker 1>Yeah exactly. Oh no, no, don't say that.

0:23:20.440 --> 0:23:23.520
<v Speaker 3>In twenty fifteen, there was a study that showed photographs

0:23:23.520 --> 0:23:26.199
<v Speaker 3>of people with different expressions to forty four different cultures

0:23:26.240 --> 0:23:29.480
<v Speaker 3>around the world, and they found that like in China

0:23:29.560 --> 0:23:33.240
<v Speaker 3>and Germany and Egypt, they associated a smile with intelligence,

0:23:33.800 --> 0:23:37.960
<v Speaker 3>but in Japan, France, and Iran, I guess I'm on

0:23:38.000 --> 0:23:42.320
<v Speaker 3>that sort of a sound they thought it meant or

0:23:42.359 --> 0:23:45.560
<v Speaker 3>at the least they correlated it with lower intelligence.

0:23:45.400 --> 0:23:47.320
<v Speaker 2>Like they think you look dippy if you have a

0:23:47.359 --> 0:23:48.920
<v Speaker 2>big smile in those countries.

0:23:49.080 --> 0:23:52.520
<v Speaker 3>I guess it depends on the person in the smile, sure,

0:23:52.800 --> 0:23:55.760
<v Speaker 3>Like kletis the slack jawed yokels big toothy smile, Like

0:23:55.800 --> 0:23:56.399
<v Speaker 3>I could see that.

0:23:56.840 --> 0:24:01.879
<v Speaker 2>Yeah, what's interesting too, is there's different different countries or

0:24:01.880 --> 0:24:05.840
<v Speaker 2>cultures have agreed at different periods of time too, as

0:24:05.880 --> 0:24:06.359
<v Speaker 2>we'll see.

0:24:07.280 --> 0:24:08.200
<v Speaker 1>Should we take a break.

0:24:08.600 --> 0:24:10.400
<v Speaker 2>Let's take a break, because I think that was one

0:24:10.400 --> 0:24:12.400
<v Speaker 2>of the best cliffhangers we've ever come up with.

0:24:12.800 --> 0:24:39.000
<v Speaker 1>For sure, we'll be right back, so Chuck.

0:24:38.800 --> 0:24:42.600
<v Speaker 2>We're onto the history part. Shout out to Colin Jones,

0:24:42.640 --> 0:24:46.800
<v Speaker 2>who wrote a really good article on aon. He was

0:24:46.840 --> 0:24:51.600
<v Speaker 2>the author of the book Smile Revolution Colon in eighteenth

0:24:51.680 --> 0:24:55.920
<v Speaker 2>century Paris. I've never seen a colon be more useless

0:24:55.960 --> 0:24:58.560
<v Speaker 2>than the one Colin Jones put into his book title.

0:24:58.600 --> 0:25:02.320
<v Speaker 2>But regardless, this Aon article was super helpful.

0:25:03.119 --> 0:25:06.120
<v Speaker 3>Yeah, I mean, are you talking about, like portrait painting.

0:25:06.600 --> 0:25:11.160
<v Speaker 2>The whole darn thing, buddy, Like, basically the progress of smile,

0:25:12.119 --> 0:25:15.679
<v Speaker 2>the smile being acceptable in Western culture. It traces a

0:25:15.680 --> 0:25:19.400
<v Speaker 2>pretty long heritage and it's had its ups and downs essentially.

0:25:20.160 --> 0:25:24.480
<v Speaker 3>Yeah, Like, I definitely I mean, it makes sense, but

0:25:24.520 --> 0:25:27.879
<v Speaker 3>I never knew that like portraits being so serious, like

0:25:27.920 --> 0:25:32.560
<v Speaker 3>painted portraits, was because it's you can't make a realistic

0:25:32.600 --> 0:25:37.399
<v Speaker 3>looking smile, because smiling again is something ideally that's happening spontaneously,

0:25:37.960 --> 0:25:41.639
<v Speaker 3>and you can't hold that while you're sitting for a portrait.

0:25:41.760 --> 0:25:44.520
<v Speaker 3>So that's the reason why all those portraits for so many,

0:25:44.720 --> 0:25:47.720
<v Speaker 3>you know, hundreds and thousands of years, we're just more

0:25:47.800 --> 0:25:48.480
<v Speaker 3>serious looking.

0:25:49.040 --> 0:25:52.480
<v Speaker 2>Yeah, because you can just be like, hurry up, I

0:25:52.560 --> 0:25:56.800
<v Speaker 2>know it's no good. Yeah, that is pretty interesting too.

0:25:57.359 --> 0:25:59.199
<v Speaker 2>I guess we talked about something like that and the

0:25:59.320 --> 0:26:02.080
<v Speaker 2>orthodonics episode because I think also there was just like

0:26:02.760 --> 0:26:06.359
<v Speaker 2>you just didn't show your teeth, like that was just etiquette.

0:26:06.880 --> 0:26:11.399
<v Speaker 2>There was a manual for boys, an etiquette manual that

0:26:11.520 --> 0:26:14.399
<v Speaker 2>said that decorum forbids you to allow your teeth to

0:26:14.400 --> 0:26:18.200
<v Speaker 2>be uncovered, since nature gave us lips to conceal them.

0:26:18.440 --> 0:26:21.639
<v Speaker 2>And I saw also that there was this general idea

0:26:21.720 --> 0:26:24.720
<v Speaker 2>that if you were going to laugh, okay, we'd rather

0:26:24.800 --> 0:26:27.760
<v Speaker 2>you don't, but if you're going to laugh silently and

0:26:27.880 --> 0:26:31.000
<v Speaker 2>laugh with your mouth closed. And there's a painting from

0:26:31.040 --> 0:26:34.600
<v Speaker 2>sixteen twenty four by Franz Hall's called the laughing Cavalier

0:26:35.200 --> 0:26:37.040
<v Speaker 2>that if you want to see what that looks like,

0:26:37.200 --> 0:26:40.240
<v Speaker 2>it's that, and it looks like essentially a smug half

0:26:40.280 --> 0:26:43.640
<v Speaker 2>smile that's apparently laughing in the seventeenth century.

0:26:44.280 --> 0:26:46.560
<v Speaker 3>Yeah, I mean, if you look at old yearbooks, you know,

0:26:47.000 --> 0:26:51.200
<v Speaker 3>people didn't start smiling till later. You know, teeth were

0:26:51.320 --> 0:26:54.640
<v Speaker 3>fairly janky for a while. And it's theorized that it's

0:26:54.760 --> 0:26:57.800
<v Speaker 3>just a holdover from the portrait painting days, right where

0:26:58.000 --> 0:27:00.320
<v Speaker 3>if you sat for a portrait, and then later in

0:27:00.359 --> 0:27:04.560
<v Speaker 3>photography it's just a more formal sort of thing. It's

0:27:04.600 --> 0:27:06.760
<v Speaker 3>not a candid and so you don't just sit there

0:27:06.840 --> 0:27:10.240
<v Speaker 3>and flash a big smile. But people started doing that eventually,

0:27:11.080 --> 0:27:11.280
<v Speaker 3>I did.

0:27:11.400 --> 0:27:13.680
<v Speaker 2>Who helped us with this one, Livia did.

0:27:14.359 --> 0:27:18.680
<v Speaker 3>Yeah, Libya saw some research that said that early photography too,

0:27:18.800 --> 0:27:21.800
<v Speaker 3>like long exposures, people couldn't hold a smile, But I

0:27:21.880 --> 0:27:22.800
<v Speaker 3>kind of called bunk on that.

0:27:22.800 --> 0:27:23.680
<v Speaker 1>I've seen that online.

0:27:23.680 --> 0:27:26.760
<v Speaker 3>But by the eighteen fifties and sixties, it was only

0:27:26.800 --> 0:27:29.360
<v Speaker 3>a few seconds of exposure, like the cameras were good

0:27:29.440 --> 0:27:31.840
<v Speaker 3>enough for that. So I think it had more to

0:27:31.840 --> 0:27:35.200
<v Speaker 3>do with the holdover. It just wasn't something that people did,

0:27:35.240 --> 0:27:37.119
<v Speaker 3>like smiling like a dope, and a painting or a

0:27:37.119 --> 0:27:38.400
<v Speaker 3>picture was just untoward.

0:27:38.840 --> 0:27:42.040
<v Speaker 2>Yeah, like you said, smiling like a dope. Basically, in Europe,

0:27:42.680 --> 0:27:46.080
<v Speaker 2>for hundreds and hundreds of years, smiles were associated with

0:27:46.440 --> 0:27:51.840
<v Speaker 2>you being immature, you being drunk, you being insane, and

0:27:51.960 --> 0:27:55.240
<v Speaker 2>like that's just that was a way you depicted people,

0:27:55.359 --> 0:27:57.960
<v Speaker 2>was showing them smiling and like a painting, and the

0:27:58.040 --> 0:28:00.520
<v Speaker 2>viewer would know what you were showing was maybe like

0:28:01.480 --> 0:28:03.880
<v Speaker 2>a patient in an asylum or somebody who was meant

0:28:03.880 --> 0:28:05.960
<v Speaker 2>to be drunk or something like that. That was the

0:28:06.000 --> 0:28:08.840
<v Speaker 2>only way you would show it. And in the United States,

0:28:08.880 --> 0:28:13.919
<v Speaker 2>at least, it wasn't until the nineteen thirties when people

0:28:13.960 --> 0:28:17.440
<v Speaker 2>started actually smiling for photographs, and it really took off

0:28:17.480 --> 0:28:22.600
<v Speaker 2>after that because of advertising ads for cameras that basically said, hey,

0:28:22.880 --> 0:28:25.119
<v Speaker 2>you should smile with a picture. What's your problem? Just

0:28:25.119 --> 0:28:26.760
<v Speaker 2>go ahead and smile. Don't you know it takes more

0:28:26.840 --> 0:28:28.399
<v Speaker 2>muscles to frown than to smile.

0:28:29.160 --> 0:28:31.359
<v Speaker 3>Yeah, yeah, they're like, buy the new codec so you

0:28:31.400 --> 0:28:37.040
<v Speaker 3>can capture your dower grandmother and all her majesty exactly.

0:28:37.480 --> 0:28:41.160
<v Speaker 2>But there was that. Did you mention the yearbook study?

0:28:42.960 --> 0:28:45.040
<v Speaker 3>No, not a study just that in yearbooks, like it

0:28:45.080 --> 0:28:46.440
<v Speaker 3>took a while for that to catch on.

0:28:46.720 --> 0:28:50.360
<v Speaker 2>Right, Yeah, some study basically tracked it, and then I guess,

0:28:50.560 --> 0:28:52.080
<v Speaker 2>like I said, by the thirties it really started to

0:28:52.120 --> 0:28:55.000
<v Speaker 2>take off. And then by the fifties. This is anecdotal,

0:28:55.360 --> 0:28:59.280
<v Speaker 2>but just from watching Happy Days, yearbook photos essentially became

0:28:59.360 --> 0:29:02.720
<v Speaker 2>big goof grints because just imagine like Ralph mauf or

0:29:02.760 --> 0:29:05.960
<v Speaker 2>POTSI having like a solemn look in their yearbook photo.

0:29:06.160 --> 0:29:06.960
<v Speaker 2>You can't do it.

0:29:07.840 --> 0:29:09.880
<v Speaker 3>Yeah, I mean, I don't have a ton of pictures

0:29:09.880 --> 0:29:13.360
<v Speaker 3>of my parents growing up, but I think I do

0:29:13.440 --> 0:29:17.000
<v Speaker 3>have like the college portraits of their yearbooks, and they're

0:29:17.000 --> 0:29:19.480
<v Speaker 3>both smiling ish and those.

0:29:20.600 --> 0:29:23.160
<v Speaker 2>Yeah, there's I have one picture of my parents, I think,

0:29:23.280 --> 0:29:26.160
<v Speaker 2>right before I was born, and they're smiling, and he's

0:29:26.200 --> 0:29:31.640
<v Speaker 2>like a portrait they're smiling at each other. My dad looks, goofy.

0:29:32.040 --> 0:29:37.400
<v Speaker 3>Should we talk about types of smiles?

0:29:38.640 --> 0:29:38.920
<v Speaker 2>Sure?

0:29:40.560 --> 0:29:40.800
<v Speaker 1>Boy?

0:29:40.960 --> 0:29:45.719
<v Speaker 3>You really had me on on an edge there. So Ekman,

0:29:45.800 --> 0:29:47.400
<v Speaker 3>the guy the you know psychologists that I was talking

0:29:47.440 --> 0:29:50.120
<v Speaker 3>about the study a lot about smiles. He talked about

0:29:50.280 --> 0:29:55.600
<v Speaker 3>identifying a real, genuine enjoyment smile because of the eyes,

0:29:55.680 --> 0:29:58.720
<v Speaker 3>those dushen markers and that's what we kind of said

0:29:58.760 --> 0:30:01.120
<v Speaker 3>early on, is that a lot of research is found

0:30:01.560 --> 0:30:04.600
<v Speaker 3>that like the real genuine smiles is in the eyes,

0:30:04.640 --> 0:30:05.960
<v Speaker 3>but you can still fake.

0:30:05.800 --> 0:30:10.400
<v Speaker 2>That, right, But he said that in a real smile,

0:30:10.520 --> 0:30:12.560
<v Speaker 2>like this is why I'm like, I'm holding out hope

0:30:12.560 --> 0:30:16.040
<v Speaker 2>that there is a smile that cannot be voluntarily replicated.

0:30:16.400 --> 0:30:20.440
<v Speaker 2>Ekman said, in a true Duchen smile, the eye cover

0:30:20.560 --> 0:30:24.000
<v Speaker 2>fold between your eyebrow and the eyelid or the top

0:30:24.040 --> 0:30:28.440
<v Speaker 2>of your eyelid that actually goes downward a little bit

0:30:29.560 --> 0:30:32.680
<v Speaker 2>and then the ends of your eyebrows dip down with

0:30:32.720 --> 0:30:35.000
<v Speaker 2>it a little bit. You can't do that on your own.

0:30:35.040 --> 0:30:36.840
<v Speaker 2>You can't do that. Like I'm having to pull my

0:30:36.960 --> 0:30:39.360
<v Speaker 2>face right now to make myself do that.

0:30:39.360 --> 0:30:39.920
<v Speaker 1>That's right.

0:30:39.960 --> 0:30:41.760
<v Speaker 3>And so next time you're on a blind date, if

0:30:41.760 --> 0:30:43.840
<v Speaker 3>you're trying to figure out if they are truly truly

0:30:43.960 --> 0:30:48.040
<v Speaker 3>enjoying and smiling, just stare as hard as you can

0:30:48.920 --> 0:30:52.480
<v Speaker 3>at the eye cover fold and see what it reveals.

0:30:52.640 --> 0:30:55.080
<v Speaker 2>Bring a caliper with you so you can take accurate

0:30:55.120 --> 0:30:58.040
<v Speaker 2>measurements of the width of the eye cover ful.

0:30:58.480 --> 0:31:03.160
<v Speaker 3>That's right, full of categorized smiles over the years, because

0:31:03.200 --> 0:31:05.680
<v Speaker 3>they you know, Some are just for joy, but a

0:31:05.720 --> 0:31:08.040
<v Speaker 3>lot of smiles have purposes, like you were talking about earlier,

0:31:08.160 --> 0:31:09.960
<v Speaker 3>like hey, it's cool here, like we just want to

0:31:09.960 --> 0:31:10.520
<v Speaker 3>get out alive.

0:31:10.600 --> 0:31:10.760
<v Speaker 2>Right.

0:31:12.560 --> 0:31:16.840
<v Speaker 3>There is the reward smile, which is very I engaged

0:31:17.240 --> 0:31:22.040
<v Speaker 3>and offers the feedback to your conversation partner of like

0:31:22.040 --> 0:31:24.920
<v Speaker 3>like hey, I'm liking what you're laying down here.

0:31:25.200 --> 0:31:27.400
<v Speaker 2>Yeah, hey my eyes are up here.

0:31:27.640 --> 0:31:28.880
<v Speaker 3>That's right, that's right.

0:31:29.600 --> 0:31:32.400
<v Speaker 2>There's affiliate of smiles that show friendliness. These are the

0:31:32.440 --> 0:31:35.520
<v Speaker 2>ones you'll flash a stranger at the grocery store, you know.

0:31:35.600 --> 0:31:37.920
<v Speaker 1>Yeah, like if you're from the second sneak.

0:31:37.680 --> 0:31:39.720
<v Speaker 2>Up behind you and club you with a giant bottle

0:31:39.760 --> 0:31:40.240
<v Speaker 2>of wine.

0:31:40.440 --> 0:31:40.920
<v Speaker 1>That's right.

0:31:41.600 --> 0:31:47.080
<v Speaker 2>There's dominant smiles too, which man essentially like the lip

0:31:47.120 --> 0:31:52.840
<v Speaker 2>will be lifted a little bit. Usually it's asymmetrical. I

0:31:52.840 --> 0:31:54.520
<v Speaker 2>think it's one of those ones where like you just

0:31:54.600 --> 0:31:57.080
<v Speaker 2>know if you've been smiled at with the dominant smile,

0:31:57.200 --> 0:31:59.320
<v Speaker 2>because you just have a bad taste in your mouth

0:31:59.360 --> 0:31:59.880
<v Speaker 2>all of a sudden.

0:32:00.440 --> 0:32:00.840
<v Speaker 1>For sure.

0:32:01.480 --> 0:32:05.160
<v Speaker 3>Eckmun identified eighteen smiles. We're I'm gonna go through all those,

0:32:05.280 --> 0:32:07.960
<v Speaker 3>but I think we should talk about did you want

0:32:07.960 --> 0:32:11.160
<v Speaker 3>to No, I think we should talk about a couple

0:32:11.160 --> 0:32:13.760
<v Speaker 3>of them. One of my favorites is the miserable smile.

0:32:14.160 --> 0:32:14.320
<v Speaker 2>Yea.

0:32:14.840 --> 0:32:18.880
<v Speaker 3>It is usually asymmetrical and layered on layered on top,

0:32:19.760 --> 0:32:22.720
<v Speaker 3>and it usually follows a negative expression, so it's trying

0:32:22.760 --> 0:32:25.080
<v Speaker 3>to convey like you're not trying to hide that you're

0:32:25.120 --> 0:32:28.400
<v Speaker 3>unhappy and you're just accepting what's happening. So I would

0:32:28.440 --> 0:32:31.200
<v Speaker 3>act that out as the smile, like, well, I guess

0:32:31.280 --> 0:32:32.200
<v Speaker 3>this is happening now.

0:32:33.520 --> 0:32:38.520
<v Speaker 2>Yes, I would chalk the current reigning champ of the

0:32:38.600 --> 0:32:41.640
<v Speaker 2>Miserable smile. As far as Hollywood goes up to the actor.

0:32:41.720 --> 0:32:45.240
<v Speaker 2>I don't know her name, but she was in I

0:32:45.280 --> 0:32:47.640
<v Speaker 2>Don't Feel at Home in This World Anymore. She was

0:32:47.760 --> 0:32:51.960
<v Speaker 2>the star of that. She played Leonardo DiCaprio's wife, and

0:32:52.240 --> 0:32:56.360
<v Speaker 2>don't look up. She's good at that. Okay, have you

0:32:56.400 --> 0:33:00.120
<v Speaker 2>not seen I Don't Feel at Home in this World Anymore? Know?

0:33:00.280 --> 0:33:02.360
<v Speaker 3>Was that a movie or a TV show?

0:33:02.440 --> 0:33:08.479
<v Speaker 2>It was a movie. It was an indie movie. Toby Maguire, Frodo,

0:33:08.880 --> 0:33:09.760
<v Speaker 2>I'm sorry, Frodo.

0:33:10.160 --> 0:33:13.000
<v Speaker 3>He was in it with her, Olga would Oh, you're

0:33:13.200 --> 0:33:14.000
<v Speaker 3>Melanie Lensky.

0:33:14.040 --> 0:33:14.680
<v Speaker 1>She's the best.

0:33:14.800 --> 0:33:17.160
<v Speaker 2>Okay, yes her, Thank you for coming up with that

0:33:17.160 --> 0:33:20.760
<v Speaker 2>that movie is definitely worth seeing. It's a great indie movie.

0:33:20.760 --> 0:33:21.160
<v Speaker 2>It's good.

0:33:21.440 --> 0:33:23.160
<v Speaker 3>Oh, I'll check that out. I love both of them,

0:33:23.400 --> 0:33:25.960
<v Speaker 3>especially like her. She's wonderful. She's married to Jason Ritter.

0:33:27.160 --> 0:33:29.880
<v Speaker 3>No way, yeah, great, one of the great couples.

0:33:30.160 --> 0:33:32.200
<v Speaker 2>Okay, good, I.

0:33:32.160 --> 0:33:34.840
<v Speaker 1>Mean Hollywood couples. You know, they're usually phonies. They seem

0:33:34.840 --> 0:33:35.320
<v Speaker 1>pretty real.

0:33:36.760 --> 0:33:39.040
<v Speaker 2>Yeah, because there I always have that miserable smile.

0:33:39.320 --> 0:33:42.000
<v Speaker 1>That's right. What other smiles, Josh, what's your favorite?

0:33:43.360 --> 0:33:45.280
<v Speaker 2>Oh, miserable smiles My favorite too.

0:33:45.560 --> 0:33:45.880
<v Speaker 1>Okay.

0:33:45.920 --> 0:33:49.360
<v Speaker 2>The embarrassment smile I think is kind of funny. Oh, yeah,

0:33:49.360 --> 0:33:53.320
<v Speaker 2>because it's just so involuntary. Yeah, like if you imagine

0:33:53.360 --> 0:33:55.840
<v Speaker 2>somebody actually doing this, it's hard to do, and it

0:33:55.920 --> 0:33:59.240
<v Speaker 2>kind of makes you appreciate what actors do, like just

0:33:59.280 --> 0:34:02.080
<v Speaker 2>how hard it is to be a good actor, because

0:34:02.120 --> 0:34:04.120
<v Speaker 2>you might be called upon to do an embarrassment smile

0:34:04.120 --> 0:34:07.440
<v Speaker 2>where you're embarrassed and you smile. It's kind of usually

0:34:07.520 --> 0:34:11.120
<v Speaker 2>like just barely tilted up, your lips are pressed together,

0:34:11.360 --> 0:34:14.080
<v Speaker 2>and you're looking downward, maybe even to the side a

0:34:14.080 --> 0:34:17.239
<v Speaker 2>little bit, and it's just so quick and just so

0:34:17.560 --> 0:34:20.680
<v Speaker 2>you just can't stop yourself. You just do an embarrassment smile,

0:34:20.800 --> 0:34:24.120
<v Speaker 2>and everybody's like, oh, it's okay, except for that one

0:34:24.120 --> 0:34:26.880
<v Speaker 2>guy who's got the dominant smile because you just showed

0:34:26.920 --> 0:34:29.440
<v Speaker 2>that you're embarrassed. Yeah, and now he knows that you're

0:34:29.480 --> 0:34:29.920
<v Speaker 2>a mark.

0:34:31.000 --> 0:34:31.480
<v Speaker 1>Yeah.

0:34:31.560 --> 0:34:33.239
<v Speaker 2>Yeah, that's how those embarrassment smile.

0:34:34.080 --> 0:34:35.600
<v Speaker 3>All right, Well, you know what, let's take a break

0:34:35.640 --> 0:34:38.040
<v Speaker 3>and I'm going to cover my favorite, last favorite smile

0:34:38.120 --> 0:34:39.880
<v Speaker 3>right after this. I know our timing is just all

0:34:39.920 --> 0:34:42.880
<v Speaker 3>wonky on this and this because we're having fun, so

0:34:42.920 --> 0:35:10.280
<v Speaker 3>we'll be right back with my favorite smile. All right, everybody,

0:35:10.719 --> 0:35:14.080
<v Speaker 3>I'm just gonna call this the William H. Macy in

0:35:14.480 --> 0:35:19.480
<v Speaker 3>his office in Fargo smile when Fran McDermott meets him

0:35:19.480 --> 0:35:23.720
<v Speaker 3>for the first time. It's that smile. It's the coordination smile,

0:35:24.280 --> 0:35:30.360
<v Speaker 3>and a coordination smile indicates cooperation and acknowledgment. Slightly asymmetrical

0:35:30.440 --> 0:35:33.239
<v Speaker 3>and it's sort of slight. But Bill Macy in that

0:35:33.320 --> 0:35:36.040
<v Speaker 3>scene with the yeah, we'll just we'll do.

0:35:36.000 --> 0:35:36.480
<v Speaker 1>A lot count.

0:35:36.560 --> 0:35:38.480
<v Speaker 3>We'll just shoot those numbers right on over to you.

0:35:39.000 --> 0:35:42.840
<v Speaker 3>So like he's coordinating, he's showing cooperation, but it's still

0:35:42.960 --> 0:35:43.680
<v Speaker 3>kind of phony.

0:35:44.320 --> 0:35:45.720
<v Speaker 1>Oh, it's sort of a business smile.

0:35:45.800 --> 0:35:49.160
<v Speaker 2>Almost he's great at that though too. Yeah, and it

0:35:49.800 --> 0:35:52.680
<v Speaker 2>also has like I'm just so pathetic, like don't you

0:35:52.719 --> 0:35:55.680
<v Speaker 2>can't even question me, like like just overlook me?

0:35:56.000 --> 0:35:58.799
<v Speaker 3>Kind of Yeah, do you know that movie is ninety

0:35:58.800 --> 0:35:59.319
<v Speaker 3>minutes long?

0:36:00.280 --> 0:36:03.560
<v Speaker 2>Man, we need to get back to that. Anything two

0:36:03.640 --> 0:36:07.440
<v Speaker 2>hours are over means that the producers did not ring

0:36:07.440 --> 0:36:08.759
<v Speaker 2>the director in. No.

0:36:08.920 --> 0:36:11.120
<v Speaker 3>I agree movies are too bloated now. And if anyone

0:36:11.120 --> 0:36:12.640
<v Speaker 3>ever makes it, like if a director would to make

0:36:12.640 --> 0:36:14.279
<v Speaker 3>an argument that we really need that, I would just

0:36:14.280 --> 0:36:15.799
<v Speaker 3>say Fargo and walk out of the room.

0:36:15.920 --> 0:36:18.680
<v Speaker 2>Yeah, and that's that's all you need to say. Yeah,

0:36:18.760 --> 0:36:22.000
<v Speaker 2>I've been watching some nineties and eighties movies and they're

0:36:22.040 --> 0:36:24.960
<v Speaker 2>definitely like ninety minutes. It's all it takes. That's all

0:36:24.960 --> 0:36:28.520
<v Speaker 2>it should take. I saw fifty two pickup recently.

0:36:28.600 --> 0:36:29.719
<v Speaker 1>Oh who was.

0:36:29.760 --> 0:36:31.920
<v Speaker 2>That Roy Scheider and Ann Martinetz.

0:36:32.160 --> 0:36:33.640
<v Speaker 1>That's right, that's right, good movie.

0:36:33.760 --> 0:36:34.279
<v Speaker 2>It was all right.

0:36:34.680 --> 0:36:35.480
<v Speaker 1>I love Roy Schiter.

0:36:35.680 --> 0:36:38.239
<v Speaker 2>It was much more hardcore than it makes you think

0:36:38.280 --> 0:36:40.839
<v Speaker 2>it's going to be in the first like fifteen minutes.

0:36:40.840 --> 0:36:43.040
<v Speaker 3>Because you thought it was about cards and just like

0:36:43.080 --> 0:36:44.600
<v Speaker 3>throwing them on playing that game.

0:36:45.440 --> 0:36:49.640
<v Speaker 2>Right, just an hour and a half of that, Uh, huh,

0:36:49.680 --> 0:36:51.239
<v Speaker 2>I've got one more smile, Chuck.

0:36:51.600 --> 0:36:52.520
<v Speaker 1>All right, let's hear it.

0:36:52.600 --> 0:36:53.960
<v Speaker 2>The uncanny smile.

0:36:54.280 --> 0:36:56.759
<v Speaker 3>Oh okay, so you're talking about they made a whole

0:36:56.760 --> 0:36:57.920
<v Speaker 3>movie franchise around that.

0:36:58.160 --> 0:37:00.920
<v Speaker 2>Yeah, smile right, that's exactly what I'm talking about. It

0:37:01.000 --> 0:37:06.000
<v Speaker 2>was also the Ghost Family and Insidious the first one. Yeah,

0:37:06.120 --> 0:37:09.160
<v Speaker 2>they all had that uncanny smile. Jack Nicholson might have

0:37:09.239 --> 0:37:11.680
<v Speaker 2>been the progenitor of the whole thing. In the Shining

0:37:11.760 --> 0:37:14.239
<v Speaker 2>when he's got that smile where he's like, look here,

0:37:14.960 --> 0:37:18.160
<v Speaker 2>he's looking like over, he's looking at his chins down,

0:37:18.239 --> 0:37:20.440
<v Speaker 2>but his eyes are up and he's got that crazy

0:37:20.480 --> 0:37:21.480
<v Speaker 2>smile on his face.

0:37:21.840 --> 0:37:23.080
<v Speaker 1>Yeah, it's very unsettling.

0:37:23.320 --> 0:37:27.200
<v Speaker 2>It is. That's the uncanny smile, and it will haunt

0:37:27.239 --> 0:37:27.880
<v Speaker 2>your dreams.

0:37:28.200 --> 0:37:30.000
<v Speaker 1>Okay. I didn't know if you had any science behind it.

0:37:30.400 --> 0:37:32.920
<v Speaker 2>I looked and I couldn't find anything. The most I

0:37:32.960 --> 0:37:38.520
<v Speaker 2>could find was that it was contextually wrong, right, and

0:37:38.520 --> 0:37:41.000
<v Speaker 2>that it kind of set our brains on edge from that,

0:37:42.200 --> 0:37:44.279
<v Speaker 2>and then also if you really now that you kind

0:37:44.280 --> 0:37:46.520
<v Speaker 2>of know about the facial coding system, if you look

0:37:46.560 --> 0:37:49.760
<v Speaker 2>at it, the AU six is definitely not an effect

0:37:49.880 --> 0:37:53.240
<v Speaker 2>because the eyes are usually staring while there's this shage

0:37:53.400 --> 0:37:56.360
<v Speaker 2>grin and that is not a normal combination.

0:37:57.080 --> 0:37:59.520
<v Speaker 3>Yeah. I mean, I think what's important there doesn't need

0:37:59.560 --> 0:38:01.879
<v Speaker 3>to be science as long as everyone agrees that it's

0:38:02.000 --> 0:38:02.960
<v Speaker 3>scary for movies.

0:38:03.880 --> 0:38:07.759
<v Speaker 2>Yeah, what else, buddy, Oh, I think we've reached the

0:38:07.800 --> 0:38:08.440
<v Speaker 2>best part.

0:38:09.040 --> 0:38:10.200
<v Speaker 1>Does smiling make us happy?

0:38:10.360 --> 0:38:10.600
<v Speaker 2>Yes?

0:38:11.440 --> 0:38:11.760
<v Speaker 1>Yeah?

0:38:11.800 --> 0:38:14.040
<v Speaker 3>So you know, like I said, we did a full

0:38:14.080 --> 0:38:16.239
<v Speaker 3>episode on this, but that's that was three years in

0:38:16.360 --> 0:38:19.120
<v Speaker 3>and I don't think we were very good at that point.

0:38:19.160 --> 0:38:21.760
<v Speaker 3>So hopefully this will be better. I was approved by.

0:38:21.600 --> 0:38:26.920
<v Speaker 2>This episode today. Right, This was a throwback, wasn't it. Yeah,

0:38:26.960 --> 0:38:28.839
<v Speaker 2>we should have gone for the second ad break right

0:38:28.880 --> 0:38:32.680
<v Speaker 2>before we went to a listener mail. Yeah. So the

0:38:32.840 --> 0:38:38.440
<v Speaker 2>idea that smiling makes us feel happier apparently traces itself

0:38:38.480 --> 0:38:41.960
<v Speaker 2>back to Darwin. Yeah, and Darwin was big into smiling.

0:38:42.040 --> 0:38:45.120
<v Speaker 2>He saw facial expressions in general as a evidence of

0:38:45.760 --> 0:38:51.840
<v Speaker 2>vestigial behavior that we had from like our primate ancestors. Right, Yeah,

0:38:51.880 --> 0:38:54.439
<v Speaker 2>And there there have been tons of studies to find

0:38:54.440 --> 0:38:56.480
<v Speaker 2>out if that's true, and they've come back with like

0:38:56.600 --> 0:39:01.880
<v Speaker 2>mixed results. Some of them are like meaned of maybe,

0:39:01.920 --> 0:39:04.600
<v Speaker 2>but others are like nah, I don't know about that.

0:39:05.800 --> 0:39:09.000
<v Speaker 3>Yeah, it's a tough thing to test, because what they

0:39:09.040 --> 0:39:12.480
<v Speaker 3>do is like they have different methodologies. One of the

0:39:12.520 --> 0:39:16.000
<v Speaker 3>early ones, I think was from nineteen eighty eight, and

0:39:16.080 --> 0:39:18.480
<v Speaker 3>they said, you know, they put a pin in your

0:39:18.520 --> 0:39:22.080
<v Speaker 3>mouth like sideways, which will you know, make sort of

0:39:22.360 --> 0:39:25.160
<v Speaker 3>a fake assimilation of a smile.

0:39:25.239 --> 0:39:27.600
<v Speaker 2>I guess, well, that's if you have the pen sticking

0:39:28.120 --> 0:39:30.520
<v Speaker 2>out of your mouth straight between your teeth.

0:39:30.960 --> 0:39:31.240
<v Speaker 1>Right.

0:39:31.800 --> 0:39:34.880
<v Speaker 3>No, really, no, no, no, I thought it was. I

0:39:34.880 --> 0:39:36.600
<v Speaker 3>thought they would put it sideways so it would make

0:39:36.640 --> 0:39:38.520
<v Speaker 3>your lips out. You're saying, they just hold it in

0:39:38.600 --> 0:39:39.719
<v Speaker 3>your teeth like a cigarette.

0:39:39.880 --> 0:39:42.640
<v Speaker 2>Yes, in the middle of your mouth. That'll make you smile.

0:39:42.920 --> 0:39:45.600
<v Speaker 2>And then if you put it like in between, like sideways,

0:39:45.640 --> 0:39:50.720
<v Speaker 2>that makes you frown. Huh not anybody you got a penhandy, Well.

0:39:50.640 --> 0:39:52.200
<v Speaker 1>I'll do it and I'll text it to you. No, now,

0:39:52.200 --> 0:39:52.719
<v Speaker 1>I'll make your.

0:39:52.640 --> 0:39:54.680
<v Speaker 2>Research it you send me a screen shot.

0:39:55.719 --> 0:39:58.000
<v Speaker 3>Well, either way, if you hold that pin between their teeth,

0:39:58.040 --> 0:40:02.120
<v Speaker 3>they will then ask you questions like you like are

0:40:02.160 --> 0:40:04.839
<v Speaker 3>you happy? Are you not happy? Stuff like that, and

0:40:04.960 --> 0:40:07.000
<v Speaker 3>like look at this thing, does this make you happy?

0:40:07.680 --> 0:40:08.560
<v Speaker 1>And I guess that's.

0:40:08.400 --> 0:40:11.440
<v Speaker 3>Supposed to indicate that, like if your mouth is forced

0:40:11.440 --> 0:40:14.120
<v Speaker 3>into a smile, that you'll be happier. That just it

0:40:14.160 --> 0:40:14.960
<v Speaker 3>didn't make sense to me.

0:40:15.200 --> 0:40:17.880
<v Speaker 2>Yeah, that's that's the study. That's what they study is

0:40:17.960 --> 0:40:21.520
<v Speaker 2>just like if you can if the facial feedback that

0:40:21.560 --> 0:40:25.400
<v Speaker 2>you're getting showing that you're smiling, that it can happen

0:40:25.440 --> 0:40:28.399
<v Speaker 2>in the reverse rather than smiling because you're happy, If

0:40:28.440 --> 0:40:31.600
<v Speaker 2>you make yourself smile, can that make you happy? Right?

0:40:32.520 --> 0:40:34.960
<v Speaker 2>And that one, that first nineteen eighty eight study. To

0:40:35.080 --> 0:40:38.400
<v Speaker 2>keep people from knowing that they were being tested about smiling,

0:40:39.080 --> 0:40:42.080
<v Speaker 2>they taught they told them that they were they were

0:40:42.120 --> 0:40:46.200
<v Speaker 2>testing out new methods to help disabled people, right, who

0:40:46.280 --> 0:40:48.800
<v Speaker 2>didn't who didn't have arms, So they were trying to

0:40:48.800 --> 0:40:50.600
<v Speaker 2>figure out ways to help them write so that people.

0:40:51.000 --> 0:40:54.399
<v Speaker 2>That's what they thought they were doing. And then they said, here,

0:40:54.560 --> 0:40:57.480
<v Speaker 2>check out this cartoon. Is this funny or not? And

0:40:57.560 --> 0:41:00.080
<v Speaker 2>I guess all of the cartoons were ziggy, so every

0:41:00.080 --> 0:41:02.200
<v Speaker 2>one thought they were funny, but the people who were

0:41:02.200 --> 0:41:04.759
<v Speaker 2>making the smiles thought they were funnier than everybody.

0:41:05.280 --> 0:41:08.759
<v Speaker 3>Wow, all right, that got way more interesting once I

0:41:08.800 --> 0:41:10.080
<v Speaker 3>knew how they lied.

0:41:10.840 --> 0:41:14.520
<v Speaker 2>Yeah, they definitely lied for sure. Never trust a researcher.

0:41:15.320 --> 0:41:18.400
<v Speaker 3>This one from twenty twenty four carries a little more

0:41:18.440 --> 0:41:20.160
<v Speaker 3>weight for me, because it's not just sticking a pin

0:41:20.239 --> 0:41:23.719
<v Speaker 3>in someone's mouth. A psychologist named Sebastian Korb of the

0:41:23.880 --> 0:41:27.440
<v Speaker 3>University of Essexon did a thing where he ran a

0:41:27.480 --> 0:41:31.880
<v Speaker 3>little electric current into those fast twitched muscles which forced

0:41:32.040 --> 0:41:35.239
<v Speaker 3>like a smile to happen for just like a half

0:41:35.280 --> 0:41:38.680
<v Speaker 3>a second, and then they assessed whether a like a

0:41:38.719 --> 0:41:43.440
<v Speaker 3>digital image of a face looked happy. So apparently when

0:41:43.440 --> 0:41:46.640
<v Speaker 3>they had douce those tiny little smiles, people were more

0:41:46.760 --> 0:41:49.040
<v Speaker 3>likely to identify a neutral face as happy.

0:41:49.280 --> 0:41:51.560
<v Speaker 2>Yeah. And the big failing of all of these studies

0:41:51.680 --> 0:41:55.160
<v Speaker 2>is that they go social psychology at the end, like

0:41:55.280 --> 0:41:57.760
<v Speaker 2>are you happy? Do you feel happy? Is this comic funny?

0:41:58.600 --> 0:42:01.520
<v Speaker 2>Is this neutral face happy? And it just becomes so

0:42:01.560 --> 0:42:05.319
<v Speaker 2>subjective and self reporting that it's the jury's still out.

0:42:05.360 --> 0:42:07.920
<v Speaker 3>I think, yeah, there is my comedian?

0:42:08.040 --> 0:42:09.040
<v Speaker 1>Am I making you laugh?

0:42:09.800 --> 0:42:11.560
<v Speaker 2>What? Am I a clown? Do? I amuse you?

0:42:12.760 --> 0:42:14.200
<v Speaker 1>I just watched that again the other night.

0:42:14.640 --> 0:42:15.960
<v Speaker 2>What is that? Good Fellas?

0:42:16.239 --> 0:42:16.919
<v Speaker 1>Yeah?

0:42:17.000 --> 0:42:21.000
<v Speaker 3>I mean it's still great. You know it's not great?

0:42:21.280 --> 0:42:23.919
<v Speaker 3>Is the aviator? Because I mentioned that in the Howard

0:42:24.000 --> 0:42:26.680
<v Speaker 3>Hughes episode. I just watched the Howard Hughes in Vegas bit.

0:42:27.360 --> 0:42:30.400
<v Speaker 3>But I had recently seen the Scorsese documentary series and

0:42:30.440 --> 0:42:31.600
<v Speaker 3>I was like, you know, I should watch all of

0:42:31.600 --> 0:42:32.239
<v Speaker 3>the Aviator.

0:42:32.520 --> 0:42:34.000
<v Speaker 1>It's not one of his best.

0:42:34.200 --> 0:42:37.160
<v Speaker 2>No, I know. It didn't get a lot of praise. Yeah,

0:42:37.320 --> 0:42:39.759
<v Speaker 2>it was two and a half hours long, too, wasn't it?

0:42:39.760 --> 0:42:41.720
<v Speaker 3>It was pretty long. It was not ninety minutes.

0:42:41.719 --> 0:42:42.080
<v Speaker 1>I'll tell you.

0:42:43.280 --> 0:42:47.320
<v Speaker 2>There is one more intervention about smiling make you happy.

0:42:47.360 --> 0:42:52.200
<v Speaker 2>It's from Dialectical Behavior Therapy DBT okay, and it employs

0:42:52.239 --> 0:42:56.560
<v Speaker 2>the half smile, and it essentially tells you to make

0:42:56.600 --> 0:42:59.000
<v Speaker 2>a little smile so that you know you're smiling, but

0:42:59.520 --> 0:43:02.239
<v Speaker 2>that you look like crazy to other people. Right, So

0:43:02.280 --> 0:43:05.000
<v Speaker 2>other people can't really tell. They might see that you

0:43:05.080 --> 0:43:07.440
<v Speaker 2>might look slightly different and maybe a little more approachable

0:43:07.440 --> 0:43:11.160
<v Speaker 2>than you normally would with a BRF. But it has

0:43:11.200 --> 0:43:16.399
<v Speaker 2>been shown again anecdotally that it actually does increase your

0:43:16.520 --> 0:43:20.160
<v Speaker 2>your sense of positivity. I know that sounds hippy dippy,

0:43:20.200 --> 0:43:21.800
<v Speaker 2>but I believe it actually works.

0:43:22.120 --> 0:43:23.360
<v Speaker 1>What's BRF.

0:43:24.719 --> 0:43:26.320
<v Speaker 2>Be resting face?

0:43:26.800 --> 0:43:29.279
<v Speaker 1>Oh? Okay, I always heard I've never heard it in

0:43:29.280 --> 0:43:29.719
<v Speaker 1>that order.

0:43:30.560 --> 0:43:32.319
<v Speaker 2>Uh, what do you hear?

0:43:32.360 --> 0:43:32.600
<v Speaker 1>It is?

0:43:33.480 --> 0:43:34.000
<v Speaker 3>RBF?

0:43:34.960 --> 0:43:37.200
<v Speaker 2>Man? I am off today we're going to edit that

0:43:37.239 --> 0:43:37.879
<v Speaker 2>part out too.

0:43:39.040 --> 0:43:41.759
<v Speaker 1>I think you're doing great. This is a capital episode.

0:43:43.840 --> 0:43:46.440
<v Speaker 2>Let's see. Oh there's one other thing too. One more

0:43:46.480 --> 0:43:50.120
<v Speaker 2>stuf's here and again. Social psychologists take it with a

0:43:50.120 --> 0:43:52.600
<v Speaker 2>grain of salt, but they found that service employees who

0:43:52.640 --> 0:43:55.560
<v Speaker 2>have to engage in surface acting, meaning like part of

0:43:55.600 --> 0:43:59.239
<v Speaker 2>your job is smiling and seeming happy whether you are

0:43:59.360 --> 0:44:03.920
<v Speaker 2>or not, tend to be heavier drinkers than people outside

0:44:03.920 --> 0:44:07.400
<v Speaker 2>of the service industry. That's sad, it is, and that

0:44:07.560 --> 0:44:11.520
<v Speaker 2>explains why hotel reception people are constantly blotto. If you've

0:44:11.520 --> 0:44:14.600
<v Speaker 2>ever noticed, when you check in, they are wasted to

0:44:14.719 --> 0:44:17.080
<v Speaker 2>a person. That's why, because they're forced to smile.

0:44:17.160 --> 0:44:20.960
<v Speaker 3>That's right, makes sense. You got anything else, man, I

0:44:21.000 --> 0:44:21.719
<v Speaker 3>got nothing else.

0:44:22.040 --> 0:44:27.080
<v Speaker 2>This was great, new and improved smiling happiness episode.

0:44:27.280 --> 0:44:27.759
<v Speaker 1>It was new.

0:44:28.640 --> 0:44:33.080
<v Speaker 2>Okay. I guess that means it's time for listener mate.

0:44:33.920 --> 0:44:34.359
<v Speaker 1>That's right.

0:44:34.920 --> 0:44:36.959
<v Speaker 3>Might as well finish this one with a correction, you know.

0:44:38.080 --> 0:44:42.200
<v Speaker 2>Yeah, I think we should. Hey guys from twenty eleven, first.

0:44:41.920 --> 0:44:42.759
<v Speaker 3>Time corrector here.

0:44:42.840 --> 0:44:42.920
<v Speaker 1>No.

0:44:43.560 --> 0:44:46.160
<v Speaker 3>I wanted to say we love the immense amount of

0:44:46.160 --> 0:44:48.279
<v Speaker 3>work you put into educating so many people and so

0:44:48.320 --> 0:44:50.560
<v Speaker 3>many topics for so long. My partner and I are

0:44:50.640 --> 0:44:54.279
<v Speaker 3>so excited to see your live show in Ottawa, Ontario. Yeah,

0:44:54.440 --> 0:44:56.839
<v Speaker 3>capital of the Great White and North. And yeah, it's

0:44:56.840 --> 0:44:59.000
<v Speaker 3>probably a good time to mention we're going to six

0:44:59.320 --> 0:45:03.439
<v Speaker 3>different places in Canada in June and July and we're

0:45:03.440 --> 0:45:06.040
<v Speaker 3>super excited. We're trying to move some more tickets in

0:45:06.120 --> 0:45:09.360
<v Speaker 3>a couple of these, specifically Montreal. So if you're in

0:45:09.400 --> 0:45:11.520
<v Speaker 3>and around Montreal, I mean, this is it, this is

0:45:11.560 --> 0:45:11.919
<v Speaker 3>your shot.

0:45:11.960 --> 0:45:12.839
<v Speaker 1>We'd love to see you there.

0:45:13.080 --> 0:45:17.799
<v Speaker 3>Yeah, yeah, all right, So quick email guys about the

0:45:18.160 --> 0:45:22.160
<v Speaker 3>a minor historical mix up in the Hindenburg disaster episode.

0:45:23.719 --> 0:45:24.040
<v Speaker 1>Josh.

0:45:24.239 --> 0:45:27.799
<v Speaker 3>One of you stated, thank you check that the US

0:45:27.880 --> 0:45:30.960
<v Speaker 3>ace Eddie Rickenbacker took out German ace the Red Baron,

0:45:31.960 --> 0:45:33.839
<v Speaker 3>Manfred von Richtofen.

0:45:34.360 --> 0:45:35.640
<v Speaker 1>But that's not the case. I'm sorry.

0:45:36.440 --> 0:45:38.840
<v Speaker 3>The Red Baron was killed on April twenty first, nineteen eighteen,

0:45:38.920 --> 0:45:42.080
<v Speaker 3>over the Soalmme. He was loaded the ground chasing an

0:45:42.120 --> 0:45:45.879
<v Speaker 3>inexperienced Canadian pilot, Lieutenant Wilfrid May. Canadian Royal Air Force

0:45:45.960 --> 0:45:50.759
<v Speaker 3>pilot Captain Arthur Roy Brown drove steeply to defend May

0:45:50.760 --> 0:45:53.480
<v Speaker 3>and fired at the Baron's Spoker triplane. While Brown was

0:45:53.520 --> 0:45:57.080
<v Speaker 3>officially credited with the kill. Modern ballistics, medical exams and

0:45:57.280 --> 0:46:00.440
<v Speaker 3>historians favor the theory that the fatal bullet came from

0:46:00.600 --> 0:46:05.160
<v Speaker 3>Australian ground troops who saw them coming. Specifically, it's widely

0:46:05.200 --> 0:46:08.520
<v Speaker 3>believed to have been fired by Sergeant Cedric Popkin or

0:46:08.640 --> 0:46:13.200
<v Speaker 3>gunners Robert Buey and William Snowy Evans, as Rick Doopin

0:46:13.360 --> 0:46:18.000
<v Speaker 3>flew dangerously low over Allied lines. As for Eddie Rickenbacker,

0:46:18.120 --> 0:46:21.600
<v Speaker 3>he didn't even see active aerial combat until April nineteen eighteen,

0:46:21.960 --> 0:46:23.600
<v Speaker 3>the very month the Red Baron died.

0:46:24.840 --> 0:46:28.640
<v Speaker 2>So, I mean, I'm not a crackpot, right, Like that's

0:46:28.719 --> 0:46:31.880
<v Speaker 2>what we've been taught all these years that Eddie Rickenbacker

0:46:31.920 --> 0:46:33.839
<v Speaker 2>took out the Red Baron.

0:46:33.640 --> 0:46:35.120
<v Speaker 1>Right, I have no idea.

0:46:35.280 --> 0:46:38.359
<v Speaker 2>This isn't like a Jacqueline Bessett Jacqueline Smith type thing.

0:46:39.400 --> 0:46:41.520
<v Speaker 3>I have no idea because I don't I'm not steeped

0:46:41.560 --> 0:46:43.840
<v Speaker 3>in that kind of stuff. Like if you say red Baron,

0:46:43.880 --> 0:46:44.680
<v Speaker 3>I think of Snoopy.

0:46:45.200 --> 0:46:48.239
<v Speaker 2>I do too, But I'm saying like, I've never done

0:46:48.280 --> 0:46:51.360
<v Speaker 2>any World War One flying ace research. This was literally

0:46:51.400 --> 0:46:53.640
<v Speaker 2>taught to me in school as far as I can recall.

0:46:53.760 --> 0:46:55.600
<v Speaker 3>Well, hey, I believe that I'm just saying, I just

0:46:55.640 --> 0:46:56.200
<v Speaker 3>don't recall.

0:46:56.280 --> 0:46:58.880
<v Speaker 2>Well, that's funny, so I wonder who really, who really

0:46:58.880 --> 0:47:02.680
<v Speaker 2>did it? Because Australia's got their people, Canada's got their people.

0:47:02.719 --> 0:47:05.720
<v Speaker 2>We have our people. Who knows.

0:47:06.280 --> 0:47:09.480
<v Speaker 3>Yeah, my money's on Snowy Evans.

0:47:11.400 --> 0:47:13.400
<v Speaker 2>Okay, I think that's great. I'll put my money on

0:47:13.440 --> 0:47:15.320
<v Speaker 2>Snowy too. Sorry, Rick and Bucker.

0:47:15.640 --> 0:47:17.080
<v Speaker 1>Yeah, and that's anonymous.

0:47:17.080 --> 0:47:20.800
<v Speaker 3>By the way, that was a guy and his partner

0:47:20.880 --> 0:47:22.160
<v Speaker 3>who were big history buffs.

0:47:22.200 --> 0:47:24.080
<v Speaker 1>I'm not sure why it was anonymous. There's nothing.

0:47:24.360 --> 0:47:25.840
<v Speaker 3>I guess they just don't what their name said. So

0:47:25.880 --> 0:47:28.800
<v Speaker 3>that's I guess we'll see the anonymous people in Ottawa.

0:47:28.800 --> 0:47:31.239
<v Speaker 3>They'll be out there with sacks over their heads.

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<v Speaker 2>Yeah for sure, Thank you Anonymous. Yeah that wasn't so controversial,

0:47:36.080 --> 0:47:39.080
<v Speaker 2>but well, okay, we'll definitely always respect your privacy. We'll

0:47:39.080 --> 0:47:41.440
<v Speaker 2>respect your privacy too. If you write to us and

0:47:41.480 --> 0:47:44.359
<v Speaker 2>you're like, do not read my name, we will never

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<v Speaker 2>do that.

0:47:45.719 --> 0:47:47.160
<v Speaker 3>You know what I bet it is is they don't

0:47:47.200 --> 0:47:49.000
<v Speaker 3>want to be outed as going to that show because

0:47:49.040 --> 0:47:50.960
<v Speaker 3>they told their friends, so they don't really like that

0:47:51.040 --> 0:47:52.520
<v Speaker 3>wanted to go with them that they weren't going.

0:47:52.719 --> 0:47:56.440
<v Speaker 2>Oh ouch, I'll bet you're right. Yeah, Or some friend

0:47:56.480 --> 0:47:58.320
<v Speaker 2>asked them to move or drive them to the airport

0:47:58.560 --> 0:48:00.720
<v Speaker 2>and they're like, we're going to out of town.

0:48:00.920 --> 0:48:02.320
<v Speaker 1>Yeah, we're having a painting party.

0:48:04.760 --> 0:48:06.960
<v Speaker 2>Let's see. Well, I guess that's it. And if you oh,

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<v Speaker 2>like I was saying, if you want to be like anonymous,

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<v Speaker 2>and even if you want to remain anonymous, send us

0:48:11.040 --> 0:48:14.400
<v Speaker 2>an email. Send it off to stuff podcast at iHeartRadio

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<v Speaker 2>dot com.

0:48:18.640 --> 0:48:21.520
<v Speaker 3>Stuff you Should Know is a production of iHeartRadio. For

0:48:21.600 --> 0:48:25.799
<v Speaker 3>more podcasts my heart Radio, visit the iHeartRadio app, Apple Podcasts,

0:48:25.920 --> 0:48:27.760
<v Speaker 3>or wherever you listen to your favorite shows.