WEBVTT - The Science of Smiles

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<v Speaker 1>Welcome to stuff to Blow your Mind from how Stuff

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<v Speaker 1>Works dot com. Hey you welcome stuff to bow your mind.

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<v Speaker 1>My name is Robert Lamb and I'm Julie Degrass. Julie

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<v Speaker 1>a smiley person. Would you would you say that you

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<v Speaker 1>are smile prone? M. I don't think of myself that's

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<v Speaker 1>just a smily person. In fact, you and I were

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<v Speaker 1>talking about smiling a little earlier, and I typically have

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<v Speaker 1>sort of a frowny face even though I'm not frowning.

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<v Speaker 1>You just have turned down lips. So I guess others

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<v Speaker 1>think of me as a frowny face. What about you? Um,

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<v Speaker 1>I'm guess I'm not opposed to smiling. I'm not a

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<v Speaker 1>smile I do smile. UM, but I feel like my

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<v Speaker 1>relationship with smiles is kind of weird, Like, on one,

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<v Speaker 1>on one hand, there's there's always this I feel like

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<v Speaker 1>there's this temptation in especially the United States, UH, bombarded

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<v Speaker 1>as we are with perfect smiles in our TV actors

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<v Speaker 1>and especially in our big Hollywood actors and in all

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<v Speaker 1>of our advertisements, that you tend to be a little

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<v Speaker 1>more self conscious about your teeth. Uh if you don't

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<v Speaker 1>have that perfect grin which can can often make you

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<v Speaker 1>a little more tight lipped in your smiling and a

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<v Speaker 1>little more reserved in your flashing of your smile, which

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<v Speaker 1>is something to take take with us. Take that idea

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<v Speaker 1>with us as we we go into this this topic today,

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<v Speaker 1>because I was recently reading in an interview excerpt with

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<v Speaker 1>Ricky Gervei and he was talking, he was getting into

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<v Speaker 1>the whole teeth and of course it's the old trope

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<v Speaker 1>of uh, you know, British teeth versus American teeth, and

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<v Speaker 1>and and what he was finding and what I've found

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<v Speaker 1>before too, is that in the US again, there's that

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<v Speaker 1>huge emphasis on the perfect smile, and in Brittain things

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<v Speaker 1>are a little more relaxed and normal. You can watch

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<v Speaker 1>a TV show there and you'll see people with teeth

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<v Speaker 1>that are refreshingly normal teeth. You'll see like a gap

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<v Speaker 1>in somebody's teeth, and you'll you'll it'll at first it's

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<v Speaker 1>an American view where you're like, oh, well that's interesting.

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<v Speaker 1>Then you feel a little more uh related to the

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<v Speaker 1>character because this person seems a little more real. Um.

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<v Speaker 1>So take all of that with you into into this

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<v Speaker 1>topic as we discuss smiles. The science of smiles, What

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<v Speaker 1>smiles are really doing, because, as is often pointed out,

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<v Speaker 1>a smile is not just this thing floating in the air.

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<v Speaker 1>It's not like the cheshire cat. It's something that's attached

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<v Speaker 1>to our body. It's it's right up here on our face.

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<v Speaker 1>And our faith is the communications array for the organism. Yeah,

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<v Speaker 1>and the smile. There's so much more to the smile

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<v Speaker 1>than you would think. So we're going to dive into that. Uh.

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<v Speaker 1>This is a statistic that is thrown around a lot

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<v Speaker 1>that kids smile four hundred times a day and US

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<v Speaker 1>adults on average smile only twenty times a day. Okay,

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<v Speaker 1>well that makes sense because I feel like with children,

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<v Speaker 1>especially the very young children, it's all just a pendulum

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<v Speaker 1>between you know, absolute care and unhappiness and just just

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<v Speaker 1>and then just unbridled happiness on the other end. So

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<v Speaker 1>you know, they're swinging into the pendle, and they're also

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<v Speaker 1>crying more d in the course of the day. They're

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<v Speaker 1>also feeling heartbroken more during the course of the day.

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<v Speaker 1>And humans have a lot more um humans adults. I

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<v Speaker 1>keep making that mistake in conversations. Uh, Us, adult humans

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<v Speaker 1>have a lot more nuance in the way that we

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<v Speaker 1>react emotionally. To the world. Well, a lot of it

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<v Speaker 1>too is mimicking your environment and learning these social cues.

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<v Speaker 1>And we'll talk more about this in terms of mirror

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<v Speaker 1>neurons in a second, but I did want to point

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<v Speaker 1>out that babies actually smile in the womb, and previous

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<v Speaker 1>to four D scanners, which produced three D images that

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<v Speaker 1>move in real time, it was thought that babies smiled

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<v Speaker 1>only after learning the behavior about six weeks after they

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<v Speaker 1>were born. But it was Dr Stewart Campbell who was

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<v Speaker 1>the first to capture these images of baby smiling in

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<v Speaker 1>the womb, and his idea for this lag of after

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<v Speaker 1>they're born, this six week lag of smiling, is that

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<v Speaker 1>in the womb, it's safe, it's warm, so you're able

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<v Speaker 1>to leisurely float about without a worry and perhaps smile. Yeah,

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<v Speaker 1>of course you'd smile on that right, right, Sure, But

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<v Speaker 1>he's saying that once you're born, you know, all of

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<v Speaker 1>a sudden, you're just bombarded with all the stimuli, and

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<v Speaker 1>so that's a smile and relaxation is sort of the

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<v Speaker 1>furthest things from a child or baby's mind at that point.

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<v Speaker 1>And that made me think about when we've talked about

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<v Speaker 1>children's brains in particular babies being soaked in neurotransmitters which

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<v Speaker 1>are faring around all the data that they're taking in.

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<v Speaker 1>And that makes sense to me, you know, because that

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<v Speaker 1>first six weeks it's just trying to make sense of

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<v Speaker 1>all these different sensations. So smile is going to have

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<v Speaker 1>to wait, you know. On the subject of smiles, also

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<v Speaker 1>found some stats about the world smiles UH, and that

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<v Speaker 1>this particular starters looking at found that countries in East

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<v Speaker 1>Asia Japan and Southeast Asia Thailand, of the Philippines, this

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<v Speaker 1>is where you would find the most smiles per capita

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<v Speaker 1>um and then UH, where as if you looked at

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<v Speaker 1>Northern European countries, Scandinavian countries, in the Eastern Bloc countries,

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<v Speaker 1>you would see considerably a less, not like the least

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<v Speaker 1>smiles per capita in those areas. That's interesting because I

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<v Speaker 1>was recently at a with a party for a kid

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<v Speaker 1>and there was a large contingent of German parents there,

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<v Speaker 1>and I noticed that in the conversations that I had

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<v Speaker 1>with the parents that um, you know, you begin to

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<v Speaker 1>notice your own behavior in this group situation, that I

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<v Speaker 1>was doing the smiling head nodding thing a lot more

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<v Speaker 1>than the German parents were, because I think that for

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<v Speaker 1>me socialized in America, that's a cue for I'm listening

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<v Speaker 1>to you, I'm agreeing, I'm encouraging you. Yes, yeah, that

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<v Speaker 1>little voice that comes on your head, it says all right,

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<v Speaker 1>grinn and not grinn and not. They just convey that

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<v Speaker 1>you you were listening and you were in some on

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<v Speaker 1>some level agreeing with what they're saying, even if you

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<v Speaker 1>are just completely tuning up. Okay, so when I'm grinning

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<v Speaker 1>and nodding, let's take a closer look at what is

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<v Speaker 1>actually going on. Is it sort of like a smile

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<v Speaker 1>one oh one when it comes to our brains and

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<v Speaker 1>our muscles. So if you see something that pleases you,

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<v Speaker 1>you have these neuronal signals that travel from the cortex

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<v Speaker 1>of your brain to the brain stem. Now, the brain

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<v Speaker 1>stom is the most primitive part of our brain. Right

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<v Speaker 1>from there, the cranial muscles carry the signal further towards

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<v Speaker 1>the smiling muscles in your face, in particular something called

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<v Speaker 1>the zygo madocus major muscles, and that draws up the

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<v Speaker 1>corners of your mouth. So once they contract, a positive

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<v Speaker 1>feedback loop goes back to the brain and reinforces this

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<v Speaker 1>feeling of joy or pleasure or whatever it is that

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<v Speaker 1>has made you smile. Now we have a lot more

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<v Speaker 1>insight into a true blue smile. This is the crinkling

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<v Speaker 1>of the eyes kind of smile. Because of someone named

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<v Speaker 1>m A. Bungamin Douchen is called the douch smile. I'm

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<v Speaker 1>glad you tackled Sin's name because I was puzzling over

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<v Speaker 1>that one. I slaughtered his his first name, for sure,

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<v Speaker 1>but Dushan, I think, you know, not too bad. But

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<v Speaker 1>he did experiments where he would actually zap single muscles

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<v Speaker 1>all over the face with electrodes to try to figure

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<v Speaker 1>out all these different expressions and emotions that we show.

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<v Speaker 1>And that's how he came to figure out that there's

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<v Speaker 1>a true blue smile that you see. Yeah, one of

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<v Speaker 1>the sixty different expressions that he u electrocuted into place

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<v Speaker 1>and then photographed. And actually, if you go to stuff

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<v Speaker 1>to Blow your Mind dot com, uh, you will see

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<v Speaker 1>that we have uploaded a gallery if some of these images,

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<v Speaker 1>not all sixty because I think that would just be

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<v Speaker 1>a bit much, but some of these images so you

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<v Speaker 1>can see what we're talking about, because they're brilliant. There's

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<v Speaker 1>this one older gentleman that is the test subject in

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<v Speaker 1>most of these photos, and it's uh at once hilarious

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<v Speaker 1>and horrifying to see his face contorted the electricity into

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<v Speaker 1>these different emotional states because his hair is all kind

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<v Speaker 1>of mussed up anyway, so you know, he's got this

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<v Speaker 1>terrifying smile spreading over his face, and his hair just

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<v Speaker 1>kind of looks like it's a bit on end uh

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<v Speaker 1>and then you you know, you see the electrodes. Uh. So, yes,

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<v Speaker 1>it's very interesting stuff. But that's how to Shan figured

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<v Speaker 1>out what this smile, this true blue smile was, because

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<v Speaker 1>again it's the zygomatic major muscle that's turning up the lips.

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<v Speaker 1>But also you have this orbicularious oculi muscle and that

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<v Speaker 1>raises the cheeks informs those cross feet around the eyes.

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<v Speaker 1>I think everybody kind of knows what that looks like,

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<v Speaker 1>right you have an idea in your head right now.

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<v Speaker 1>I always think about my grandmother, you know, and her

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<v Speaker 1>very sweet and joyous smiles and what that looks like. Yeah,

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<v Speaker 1>and then the the eventual smile lines that you hear

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<v Speaker 1>about in people's faces. Yeah, they say, oh, don't don't

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<v Speaker 1>laugh too much, because then you'll have smile lines when

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<v Speaker 1>you get older. So there's this idea that you see

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<v Speaker 1>something it pleases you. But there's also the idea that

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<v Speaker 1>you're talking to someone, they're smiling at you, and what

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<v Speaker 1>do you do? You smile back? Yeah, you know, I

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<v Speaker 1>feel like I encountered that version of smiling more than

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<v Speaker 1>like spontaneous by myself smiling. Because if I'm by myself

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<v Speaker 1>and I'm reading something that I'm enjoying, I mean, occasionally

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<v Speaker 1>i may laugh out loud, but for the most part,

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<v Speaker 1>I'm I'm probably not smiling. I'm thinking maybe I should,

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<v Speaker 1>I should experiment on myself with a camera or something.

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<v Speaker 1>But and smiling really creepily you're right now, just to

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<v Speaker 1>see you feel smile, that's kind of creepy smile. That

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<v Speaker 1>seems like now it's a creepy smile. Well, the thing,

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<v Speaker 1>this is what I think is interesting about when you

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<v Speaker 1>smile at a person who's smiling back at you. It's

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<v Speaker 1>because those neurons that fire both when we observe and

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<v Speaker 1>when we take parton in action, those are called mirror neurons.

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<v Speaker 1>So when we smile, mirror neurons simulate our own smiling.

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<v Speaker 1>So on one level, you can't not smile. Yeah, it's

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<v Speaker 1>it's an innate in state to imitate each other. We

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<v Speaker 1>see that smile, and then the smile forms in our

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<v Speaker 1>own face. Uh. It's uh, you know, ties into a

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<v Speaker 1>synchronicity of our body, our actions, even when we speak

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<v Speaker 1>to each other. Um, you know, like the whole the

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<v Speaker 1>old idea that you know you're you're someone who's grown

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<v Speaker 1>up in the South and you don't really talk with

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<v Speaker 1>the Southern accident until you're pulled over by a Southern cop,

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<v Speaker 1>and then your boice becomes a little Suddenly there are

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<v Speaker 1>all these Southern inflections that you thought you had abandoned

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<v Speaker 1>or outgrown. Um. I find myself doing that a lot.

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<v Speaker 1>Not not being pulled over by Southern cops all the time,

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<v Speaker 1>but I'll be I'll be talking to somebody and I'll

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<v Speaker 1>fall into some of their speech patterns, and and then

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<v Speaker 1>I'll start freaking out, thinking, oh my goodness, they think

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<v Speaker 1>some sort of a complete nut who's only able to

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<v Speaker 1>communicate with people by mimicking the person he's communicating with. Well,

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<v Speaker 1>I think it's just showing that you're getting the person

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<v Speaker 1>you're trying to connect with them. Yeah, I mean, that's

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<v Speaker 1>that's what the research here shows is that I'm not crazy.

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<v Speaker 1>It shows that this is part of our normal interactions

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<v Speaker 1>with people, that when we engage with someone in conversation,

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<v Speaker 1>we make eye contact and we have to go and

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<v Speaker 1>sync with each other. It's kind of a almost kind

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<v Speaker 1>of a Star Trek mind meld that's happening, except in

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<v Speaker 1>a very real sense. That's that's more amazing than any fantasy. Well,

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<v Speaker 1>I think it points back to you, this exquisite external

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<v Speaker 1>stimuli machine that we have within us. And Charles Darwin

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<v Speaker 1>he actually said, you know, I mean, besides you know,

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<v Speaker 1>being known for evolution in biology, he was actually one

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<v Speaker 1>of the early experimental psychologists. And he thought, you know,

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<v Speaker 1>maybe these facial expressions don't come from within. Maybe they

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<v Speaker 1>are external to us. So it's not just us broadcasting

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<v Speaker 1>our mental state of mind. And he thought, maybe these

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<v Speaker 1>expressions can determine your mental state. So this is something

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<v Speaker 1>we now know as facial feedback hypothesis. And he wrote

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<v Speaker 1>the nineteen or excuse me, the eighteen seventy two book

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<v Speaker 1>The Expression of Emotions and Man and Animals, which came

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<v Speaker 1>to that conclusion that the universality of facial expressions owed

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<v Speaker 1>to the evolutionary origin of it. So this all turns

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<v Speaker 1>out to be pretty spot on, and there are a

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<v Speaker 1>lot of studies that support that. And one of probably

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<v Speaker 1>the most well known studies, there's several variations on this,

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<v Speaker 1>is a study of pencils stuck in the mouth, in

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<v Speaker 1>which the person has to then evaluate fake smiles versus

0:11:43.480 --> 0:11:47.559
<v Speaker 1>real smiles. Yes, and I challenge anyone who's listening and

0:11:47.600 --> 0:11:51.040
<v Speaker 1>not driving a car or doing anything remotely dangerous, uh,

0:11:51.280 --> 0:11:54.960
<v Speaker 1>that has a pencil around a clean pencil. Uh. You know,

0:11:55.160 --> 0:11:57.040
<v Speaker 1>if that pencil has germs on it, that's your your

0:11:57.080 --> 0:11:59.280
<v Speaker 1>own business. But if you put that pencil and hold

0:11:59.320 --> 0:12:02.280
<v Speaker 1>it between your teeth, try to smile, and you will

0:12:02.280 --> 0:12:06.920
<v Speaker 1>find that you're smiling abilities are somewhat hindered actually too.

0:12:06.960 --> 0:12:10.520
<v Speaker 1>And if you take that that pencil and you put

0:12:10.600 --> 0:12:14.760
<v Speaker 1>it uh in a vertical position so that it's just

0:12:14.920 --> 0:12:19.040
<v Speaker 1>under your lip, that will actually form a frown, which

0:12:19.440 --> 0:12:23.199
<v Speaker 1>you know, again that's a different pencil studying. Many variations

0:12:23.240 --> 0:12:26.280
<v Speaker 1>on this, but the one I'm thinking about was conducted

0:12:26.360 --> 0:12:30.800
<v Speaker 1>by social psychologist Pold Nightenthal and it was a mimicking study. Again,

0:12:30.840 --> 0:12:32.839
<v Speaker 1>it was this idea that Darwin was saying, Hey, it's

0:12:32.880 --> 0:12:36.360
<v Speaker 1>not necessarily internal. It can come externally. And so she

0:12:36.600 --> 0:12:38.719
<v Speaker 1>had one group of participants asked to look at these

0:12:38.720 --> 0:12:41.600
<v Speaker 1>photos of people smiling and determine whether or not it

0:12:41.679 --> 0:12:44.000
<v Speaker 1>was real or fake and hold that pencil in their mouth,

0:12:44.080 --> 0:12:47.240
<v Speaker 1>and then the other group was asked to identify real

0:12:47.280 --> 0:12:48.880
<v Speaker 1>and fake smiles, but they didn't have the pencil in

0:12:48.880 --> 0:12:50.599
<v Speaker 1>their mouth. Well, okay, of course, it turned out that

0:12:50.600 --> 0:12:53.199
<v Speaker 1>the people who had the pencil in their mouth had

0:12:53.240 --> 0:12:57.760
<v Speaker 1>a harder time identifying the true blue smiles because that

0:12:57.800 --> 0:13:00.760
<v Speaker 1>whole mechanism of their rare neurons and their ability to

0:13:01.679 --> 0:13:05.839
<v Speaker 1>mimic that smile was interrupted. So the ability to mimic

0:13:05.880 --> 0:13:09.240
<v Speaker 1>the smile influences our power to understand them and our

0:13:09.280 --> 0:13:12.320
<v Speaker 1>power to feel that emotion. So they didn't get the

0:13:12.360 --> 0:13:16.199
<v Speaker 1>emotional lift that their counterparts, who were not hindered and

0:13:16.400 --> 0:13:19.000
<v Speaker 1>could identify a real smile got when they looked at

0:13:19.000 --> 0:13:22.760
<v Speaker 1>that true blue smile. It's another uh, all this information

0:13:22.880 --> 0:13:26.040
<v Speaker 1>is just another great argument for that mind body connection

0:13:26.280 --> 0:13:28.040
<v Speaker 1>that we've talked about again again. They had the idea

0:13:28.120 --> 0:13:30.959
<v Speaker 1>that we're not this brain that's sealed up in this

0:13:31.040 --> 0:13:33.679
<v Speaker 1>body suit. We are and we're not this rider on

0:13:33.760 --> 0:13:36.160
<v Speaker 1>this horse where a centaur where this uh, this can

0:13:36.240 --> 0:13:39.440
<v Speaker 1>joint being of brain and body and uh and to

0:13:39.520 --> 0:13:41.480
<v Speaker 1>the you know the quote that I mentioned earlier, which

0:13:41.480 --> 0:13:44.440
<v Speaker 1>actually came from Paula Needenthal, were not these uh these

0:13:44.480 --> 0:13:47.200
<v Speaker 1>magic chess our cat grins who are just floating in

0:13:47.200 --> 0:13:50.080
<v Speaker 1>the middle of space. That that grin is attached to

0:13:50.120 --> 0:13:51.920
<v Speaker 1>our body. That's a part of our body, and it's

0:13:51.960 --> 0:13:54.720
<v Speaker 1>it's part of this facial communication system that we have. Yeah,

0:13:54.720 --> 0:13:57.000
<v Speaker 1>it's telling your brain something about the world and how

0:13:57.040 --> 0:13:59.319
<v Speaker 1>you should feel. All right, let's take a quick break

0:13:59.360 --> 0:14:02.840
<v Speaker 1>and when we get back, when you're talking about smiles, happiness,

0:14:02.880 --> 0:14:15.120
<v Speaker 1>life expectancy, and chopsticks. All right, we are back. Does

0:14:15.360 --> 0:14:18.880
<v Speaker 1>flashing a grin make you happier? It's the question, and

0:14:19.680 --> 0:14:22.400
<v Speaker 1>could you live longer? Yes, because that's the big question

0:14:22.480 --> 0:14:25.320
<v Speaker 1>that sort of arises out of what we've discussed so far. Um,

0:14:25.320 --> 0:14:28.200
<v Speaker 1>we've talked about the way that it is the smiles

0:14:28.240 --> 0:14:30.320
<v Speaker 1>are as part of our communications array. It's a part

0:14:30.320 --> 0:14:34.240
<v Speaker 1>of our means of communing with other individuals who were

0:14:34.240 --> 0:14:38.120
<v Speaker 1>talking to about sharing things that are smile worthy. So

0:14:38.120 --> 0:14:40.800
<v Speaker 1>to what extent does it have a positive impact on

0:14:41.040 --> 0:14:44.960
<v Speaker 1>longevity and just sort of mental health? In general, especially

0:14:45.000 --> 0:14:47.920
<v Speaker 1>when you consider that smiling um in studies has shown

0:14:47.920 --> 0:14:51.320
<v Speaker 1>to reduce courses all levels of stress hormone levels and

0:14:51.560 --> 0:14:56.560
<v Speaker 1>increase endorphins that feel good hormone HW. Can you study

0:14:56.600 --> 0:14:59.000
<v Speaker 1>this right? Well? One way, of course is to look

0:14:59.040 --> 0:15:02.960
<v Speaker 1>at older pick ars of somebody, particularly pictures in say

0:15:03.000 --> 0:15:06.520
<v Speaker 1>a yearbook or baseball card photos. Both of these factor

0:15:06.560 --> 0:15:09.000
<v Speaker 1>into a couple of different studies that we're about to discuss.

0:15:09.240 --> 0:15:11.360
<v Speaker 1>As far as the yearbook goes, researchers at De Paul

0:15:11.480 --> 0:15:15.040
<v Speaker 1>University in Greencastle, Indiana analyzed the college yearbook photos of

0:15:15.080 --> 0:15:17.840
<v Speaker 1>six hundred and fifty five alumni and ranked the smiles

0:15:17.840 --> 0:15:19.800
<v Speaker 1>and those photographs in the scale of two which is

0:15:19.840 --> 0:15:23.360
<v Speaker 1>your complete gloomy, gus angsty teenager smile to a full tin,

0:15:23.600 --> 0:15:26.920
<v Speaker 1>which is your complete electrodes attached to the face, grim

0:15:27.040 --> 0:15:30.000
<v Speaker 1>beaming from ear to ear smile. And the participants in

0:15:30.000 --> 0:15:31.880
<v Speaker 1>these studies were also asked a series of questions about

0:15:31.880 --> 0:15:35.280
<v Speaker 1>their relationships, that status, their divorce history, and UH, and

0:15:35.360 --> 0:15:39.120
<v Speaker 1>the non smilers were actually more likely, it turned out

0:15:39.120 --> 0:15:40.920
<v Speaker 1>to be divorced, and the people who smiled at the most.

0:15:40.960 --> 0:15:43.000
<v Speaker 1>Now then they also did some follow up on this

0:15:43.160 --> 0:15:45.800
<v Speaker 1>right UH, they performed a second round of smile rankings,

0:15:45.800 --> 0:15:48.720
<v Speaker 1>this time recruiting sixty one adults fifty five years older

0:15:48.720 --> 0:15:51.360
<v Speaker 1>who are willing to hand over a handful of photographs

0:15:51.360 --> 0:15:53.480
<v Speaker 1>from when they were ages five to twenty two, and

0:15:53.520 --> 0:15:55.680
<v Speaker 1>once again, the people who smiled the most in their

0:15:55.680 --> 0:15:59.400
<v Speaker 1>photographs were least likely to be divorced. Okay and the

0:15:59.520 --> 0:16:03.840
<v Speaker 1>University of California, Berkeley, they also studied as a thirty

0:16:03.920 --> 0:16:08.000
<v Speaker 1>year longitudinal study of yearbook photos of women who had

0:16:08.080 --> 0:16:12.640
<v Speaker 1>the best, you know, truest smiles, and they found the

0:16:12.680 --> 0:16:15.120
<v Speaker 1>same sort of thing that after a thirty year study

0:16:15.160 --> 0:16:17.120
<v Speaker 1>of those people who had those true blue smiles, that

0:16:17.200 --> 0:16:20.840
<v Speaker 1>women who smiled the most and those photos had the

0:16:20.840 --> 0:16:25.000
<v Speaker 1>happier lives, happier marriages, and fewer setbacks, which leads me

0:16:25.080 --> 0:16:28.720
<v Speaker 1>to the baseball cards study, which is very similar. This

0:16:28.800 --> 0:16:33.040
<v Speaker 1>is a Wayne State University research project examining the baseball

0:16:33.080 --> 0:16:36.520
<v Speaker 1>card photos of major league players in nineteen fifty two,

0:16:37.000 --> 0:16:39.480
<v Speaker 1>and players who didn't smile in their pictures lived an

0:16:39.480 --> 0:16:42.960
<v Speaker 1>average of only seventy two point nine years, while players

0:16:43.000 --> 0:16:46.240
<v Speaker 1>with beaming smiles they lived in average of seventy nine

0:16:46.240 --> 0:16:48.560
<v Speaker 1>point nine years. So with this data suggests is that

0:16:48.640 --> 0:16:51.920
<v Speaker 1>smiling increased life expectancy. Now, some people will look at

0:16:51.920 --> 0:16:54.960
<v Speaker 1>these studies and say, okay, yeah, but in terms of

0:16:55.400 --> 0:17:00.400
<v Speaker 1>cultural responses to smiling, men are sometimes not encouraged smile.

0:17:00.800 --> 0:17:03.680
<v Speaker 1>So perhaps that person was happy, but they just didn't smile.

0:17:04.280 --> 0:17:08.600
<v Speaker 1>Or perhaps the person smiling was thinking about something that

0:17:08.720 --> 0:17:11.840
<v Speaker 1>really sort of made them feel warm and fuzzing on

0:17:11.880 --> 0:17:14.480
<v Speaker 1>the inside. Maybe they were thinking about their children, and

0:17:14.560 --> 0:17:16.280
<v Speaker 1>so at that very moment they got a picture of

0:17:16.280 --> 0:17:18.680
<v Speaker 1>what that person's frame of mind was, but that wasn't

0:17:18.680 --> 0:17:21.560
<v Speaker 1>necessarily true for how they conducted the rest of their lives. Yeah,

0:17:21.600 --> 0:17:24.600
<v Speaker 1>I mean, there's plenty of room to pick this apart,

0:17:24.840 --> 0:17:27.040
<v Speaker 1>you know, Stanley, there because there are a lot of

0:17:27.080 --> 0:17:30.119
<v Speaker 1>people who were significantly happier after they got out of

0:17:30.160 --> 0:17:31.880
<v Speaker 1>high school. For instance, there are a lot of people

0:17:31.920 --> 0:17:34.960
<v Speaker 1>who for whom everything after high school was just a

0:17:34.960 --> 0:17:38.359
<v Speaker 1>backward gaze to the brilliance that was their senior year.

0:17:38.400 --> 0:17:40.040
<v Speaker 1>I mean, and then when you start to your point,

0:17:40.040 --> 0:17:44.600
<v Speaker 1>when you start looking about the differences internationally and culturally, um,

0:17:44.640 --> 0:17:46.199
<v Speaker 1>you know, how would the study have looked if it

0:17:46.240 --> 0:17:48.560
<v Speaker 1>had it been conducted in Thailand? How would it look

0:17:48.640 --> 0:17:53.280
<v Speaker 1>had it been conducted in Scandinavian country. So one say

0:17:53.400 --> 0:17:57.119
<v Speaker 1>that that's far harder to pick apart. Has to do

0:17:57.200 --> 0:18:02.960
<v Speaker 1>with stress and chopsticks. Yes, Now, unlike the pencil scenario

0:18:03.000 --> 0:18:04.760
<v Speaker 1>where you stick a pencil in your mouth and suddenly

0:18:04.840 --> 0:18:08.760
<v Speaker 1>you're you're inhibited from smiling, you can, of course take

0:18:08.800 --> 0:18:12.880
<v Speaker 1>two chopsticks and you can force a smile. Um, I've

0:18:12.920 --> 0:18:14.919
<v Speaker 1>never done that. Was this a thing? Is this like

0:18:14.960 --> 0:18:18.000
<v Speaker 1>a horsing around with chopsticks kind of gag? Or is

0:18:18.040 --> 0:18:20.080
<v Speaker 1>this just something that thought up of the experiment. I

0:18:20.119 --> 0:18:22.880
<v Speaker 1>think it was just for the experiment because what they

0:18:22.880 --> 0:18:27.240
<v Speaker 1>could do with these chopsticks is they could manipulate more muscles.

0:18:27.560 --> 0:18:31.800
<v Speaker 1>We were talking about hundred sixty nine participants who muscles

0:18:31.800 --> 0:18:35.680
<v Speaker 1>were manipulated with chopsticks into a neutral expression, a standard

0:18:35.720 --> 0:18:38.719
<v Speaker 1>smile or a doc in smile. Because that way they

0:18:38.720 --> 0:18:43.879
<v Speaker 1>could test all these different stress reactions against those mimicking

0:18:44.200 --> 0:18:48.680
<v Speaker 1>neuronal signals that were going up to the brain. Right, So,

0:18:48.760 --> 0:18:52.920
<v Speaker 1>in addition to the chopstick placement, some were explicitly instructed

0:18:52.960 --> 0:18:55.520
<v Speaker 1>to smile. Then, of course this is where the stress

0:18:55.560 --> 0:18:57.960
<v Speaker 1>comes in. They were subjected to a series of stress

0:18:58.000 --> 0:19:02.480
<v Speaker 1>inducing multitasking activities which they struggle to perform, of course,

0:19:02.520 --> 0:19:06.040
<v Speaker 1>because they have chopsticks in their face while continuing to

0:19:06.080 --> 0:19:08.960
<v Speaker 1>hold the chopsticks um, and the subjects heart rates and

0:19:09.040 --> 0:19:13.480
<v Speaker 1>self reported stress levels were monitored throughout, So those who

0:19:13.600 --> 0:19:16.760
<v Speaker 1>were instructed to smile recovered from these stressful activities with

0:19:16.840 --> 0:19:20.959
<v Speaker 1>lower heart rates than those who held neutral expressions, and

0:19:21.040 --> 0:19:24.720
<v Speaker 1>those with duchene smiles were the most relaxed of all,

0:19:25.000 --> 0:19:27.600
<v Speaker 1>with the most positive effects. And those with four smiles

0:19:27.640 --> 0:19:31.080
<v Speaker 1>held only by the chopsticks also reported more positive feelings

0:19:31.080 --> 0:19:32.840
<v Speaker 1>than those who didn't smile at all. So, I mean,

0:19:32.880 --> 0:19:37.560
<v Speaker 1>the big story here is that um neutral expressions, they

0:19:37.600 --> 0:19:40.640
<v Speaker 1>have more stress or that they seem to uh not

0:19:40.680 --> 0:19:45.280
<v Speaker 1>be able to weather this multitasking with the lower heart rates, right,

0:19:46.240 --> 0:19:49.040
<v Speaker 1>But those with that true blue smile, that duchene smile,

0:19:49.560 --> 0:19:53.440
<v Speaker 1>they have sailed away on this and even the fake

0:19:53.480 --> 0:19:57.959
<v Speaker 1>smiles actually had a positive influence. And that's really telling

0:19:57.960 --> 0:20:00.119
<v Speaker 1>as well and interesting because you tend to think of

0:20:00.520 --> 0:20:02.960
<v Speaker 1>the fake smile like when you encounter like that genuine

0:20:02.960 --> 0:20:08.040
<v Speaker 1>fake smile on somebody's face, uh, you you often think you're, like,

0:20:08.119 --> 0:20:09.840
<v Speaker 1>what kind of monster is on the other side of it?

0:20:09.920 --> 0:20:12.439
<v Speaker 1>What kind of just complete emotional blank slate, am I

0:20:12.520 --> 0:20:16.040
<v Speaker 1>actually having a conversation with And in reality, here's this

0:20:16.080 --> 0:20:18.959
<v Speaker 1>person who's I mean, they're wearing the mask, but the

0:20:19.000 --> 0:20:21.520
<v Speaker 1>mask is wearing them, you know, I know. It's just

0:20:21.560 --> 0:20:24.440
<v Speaker 1>thinking about two examples of that. One is the beauty

0:20:24.520 --> 0:20:28.399
<v Speaker 1>queen smile, which can be a terrifying smile also because

0:20:28.520 --> 0:20:31.199
<v Speaker 1>you know, there's a large amount of drag, makeup and

0:20:31.280 --> 0:20:33.879
<v Speaker 1>gender performance going on. And the second thing is the

0:20:33.880 --> 0:20:37.200
<v Speaker 1>mayor from the Nightmare before Christmas? Do you remember this?

0:20:37.600 --> 0:20:40.520
<v Speaker 1>He had a frown and he had a smile, and

0:20:40.600 --> 0:20:42.960
<v Speaker 1>so it would revolve around depending on you know, who

0:20:43.000 --> 0:20:46.520
<v Speaker 1>he was constituent he was talking to. Um. But yeah,

0:20:46.600 --> 0:20:49.080
<v Speaker 1>I mean this is this is the interesting thing about

0:20:49.160 --> 0:20:51.919
<v Speaker 1>even that terrifying fake smile is going to give you

0:20:51.960 --> 0:20:54.880
<v Speaker 1>a little bit of a lift. And here is yet

0:20:54.960 --> 0:20:57.600
<v Speaker 1>another study about smiling, and this one has to do

0:20:57.760 --> 0:21:01.000
<v Speaker 1>with pain. Um. It turns out at people who frowned

0:21:01.080 --> 0:21:04.840
<v Speaker 1>during an unpleasant procedure, they report feeling more pain than

0:21:04.880 --> 0:21:07.399
<v Speaker 1>those who do not. This is a study that was

0:21:07.480 --> 0:21:10.280
<v Speaker 1>published in the Journal of Pain. And what happened is

0:21:10.320 --> 0:21:13.679
<v Speaker 1>that the researchers applied heat to the forums of twenty

0:21:13.720 --> 0:21:16.840
<v Speaker 1>nine participants who were asked to either make unhappy, neutral,

0:21:16.920 --> 0:21:19.359
<v Speaker 1>or relax faces during the procedure, and lo and behold.

0:21:19.520 --> 0:21:23.639
<v Speaker 1>Those who exhibited negative expressions reported being in more pain

0:21:23.680 --> 0:21:26.680
<v Speaker 1>than the others. That reminds me of one of the

0:21:26.760 --> 0:21:28.879
<v Speaker 1>yoga classes I used to go to, back when I

0:21:28.880 --> 0:21:31.720
<v Speaker 1>got to go to yoga. Would always wait until we

0:21:31.720 --> 0:21:35.600
<v Speaker 1>were in some sort of complicated balancing scenario and uh,

0:21:35.640 --> 0:21:37.679
<v Speaker 1>and we're all standing out there, no doubt what kind

0:21:37.680 --> 0:21:41.000
<v Speaker 1>of strange faces going on, and she would encourage everyone

0:21:41.040 --> 0:21:42.639
<v Speaker 1>to smile, Like if you just said, if you're if

0:21:42.680 --> 0:21:45.159
<v Speaker 1>you can't smile, you're you're working too hard at it.

0:21:45.520 --> 0:21:49.040
<v Speaker 1>And so you you'd force a smile while you know,

0:21:49.080 --> 0:21:52.080
<v Speaker 1>wrapped in eagle pose or something, and and it would

0:21:52.080 --> 0:21:53.920
<v Speaker 1>have this I feel like it would have the strengthening

0:21:53.920 --> 0:21:56.280
<v Speaker 1>effect at least on me, Like I'm suddenly I'm smiling,

0:21:56.320 --> 0:21:57.760
<v Speaker 1>and I can actually make it through the pose a

0:21:57.800 --> 0:22:00.800
<v Speaker 1>little longer than I'm just setting there kind of uh,

0:22:00.880 --> 0:22:04.560
<v Speaker 1>you know, grimly trying to to force myself into this position. Right,

0:22:04.600 --> 0:22:06.760
<v Speaker 1>It had a calming effect. And so that's what we

0:22:06.840 --> 0:22:09.800
<v Speaker 1>see over and over again in these studies. Grant Embarrett

0:22:09.960 --> 0:22:13.000
<v Speaker 1>grant Embarrett Nights, which incidentally, was the title of that

0:22:13.040 --> 0:22:16.119
<v Speaker 1>study we're just talking about with the chopsticks, Grin and Barrett,

0:22:16.160 --> 0:22:19.760
<v Speaker 1>the influence of manipulated positive facial expression on the stress response.

0:22:20.680 --> 0:22:23.720
<v Speaker 1>So we talked about the divide between adults and children

0:22:23.920 --> 0:22:26.040
<v Speaker 1>as far as smiles goes. But but how about the

0:22:26.240 --> 0:22:30.000
<v Speaker 1>gender divide. Well, if there are any women out there

0:22:30.080 --> 0:22:33.639
<v Speaker 1>listening to this, and you've ever had someone tell you

0:22:33.720 --> 0:22:36.440
<v Speaker 1>to smile, probably an older gentleman than you. Know what

0:22:36.520 --> 0:22:39.720
<v Speaker 1>I'm talking about here in terms of what is sometimes

0:22:39.760 --> 0:22:41.879
<v Speaker 1>expected of women, that they're going to be friendly, that

0:22:41.920 --> 0:22:45.000
<v Speaker 1>they're going to smile, And so you tend to think

0:22:45.000 --> 0:22:47.800
<v Speaker 1>of women smiling more, and you often see studies that

0:22:47.920 --> 0:22:51.000
<v Speaker 1>say that women do. But then you have someone named

0:22:51.000 --> 0:22:55.159
<v Speaker 1>Marianne la France. She is a professor of psychology at Yale,

0:22:55.800 --> 0:22:59.560
<v Speaker 1>and she says that wide cultural, ethnic, and other differences

0:22:59.560 --> 0:23:03.000
<v Speaker 1>suggest that the sex difference is not something that is hardwired,

0:23:03.840 --> 0:23:06.679
<v Speaker 1>so it's not a function of being male or female,

0:23:06.760 --> 0:23:10.399
<v Speaker 1>but that there's a cultural overlay that sort of tells

0:23:10.440 --> 0:23:13.520
<v Speaker 1>he tells us about these rules about smiling, and she did.

0:23:13.880 --> 0:23:17.119
<v Speaker 1>She and co authors Elizabeth Pallack of Fale and Marvin

0:23:17.160 --> 0:23:20.760
<v Speaker 1>Heck examined hundred and eighty six research reports about smiling

0:23:20.760 --> 0:23:25.679
<v Speaker 1>and gender and came up with some very interesting information. First,

0:23:25.720 --> 0:23:28.359
<v Speaker 1>they found that women do smile more than them but

0:23:28.440 --> 0:23:31.520
<v Speaker 1>the difference is really modest. Yes. And she also found

0:23:31.520 --> 0:23:34.560
<v Speaker 1>that when when occupying similar work and social status, the

0:23:34.600 --> 0:23:37.840
<v Speaker 1>gender differences in the rate of smiling tends to disappear. So, yeah,

0:23:37.840 --> 0:23:40.920
<v Speaker 1>everyone's working in the same pit or the same office,

0:23:41.640 --> 0:23:43.920
<v Speaker 1>then you're gonna see you're not gonna see as much

0:23:43.920 --> 0:23:46.760
<v Speaker 1>of this social contract and play that not in the

0:23:46.760 --> 0:23:49.320
<v Speaker 1>same way that it would be outside of the workplace. Well,

0:23:49.320 --> 0:23:52.399
<v Speaker 1>and in those instances of the playing field is leveled

0:23:52.400 --> 0:23:55.080
<v Speaker 1>because they occupy the same position of power, So it's

0:23:55.119 --> 0:23:58.960
<v Speaker 1>not necessary for women to put on that thick smile, yeah,

0:23:59.160 --> 0:24:03.359
<v Speaker 1>to try to amelior every situation. Um. Another finding was

0:24:03.400 --> 0:24:05.280
<v Speaker 1>that the rate at which men and women differ and

0:24:05.280 --> 0:24:07.320
<v Speaker 1>how much they smile is greater in the United States

0:24:07.320 --> 0:24:09.320
<v Speaker 1>and Canada than other parts of the world like England

0:24:09.359 --> 0:24:12.680
<v Speaker 1>and Australia and the US. There's a greater sex difference

0:24:12.720 --> 0:24:17.200
<v Speaker 1>among Caucasians in smiling, but this difference virtually disappears among

0:24:17.320 --> 0:24:22.000
<v Speaker 1>African Americans, and in terms of age differences, teens show

0:24:22.080 --> 0:24:25.600
<v Speaker 1>the largest sex difference in smiling. After that, the sexes

0:24:25.640 --> 0:24:28.520
<v Speaker 1>converge on their smile. Right, So that's this idea that

0:24:28.600 --> 0:24:33.280
<v Speaker 1>teens are really very preoccupied with gender roles at that

0:24:33.400 --> 0:24:36.600
<v Speaker 1>point and performing those gender roles. So perhaps that's why

0:24:36.920 --> 0:24:39.280
<v Speaker 1>that is the biggest difference that's seen. So the guys

0:24:39.280 --> 0:24:41.000
<v Speaker 1>are given in more to this idea though you need

0:24:41.040 --> 0:24:43.160
<v Speaker 1>to be a little more macho and not smile. Yeah,

0:24:43.200 --> 0:24:47.399
<v Speaker 1>I'm tough, I'm angsty, I'm very deep man, whereas the

0:24:47.880 --> 0:24:51.320
<v Speaker 1>females are more feel more pressure to be that smiley,

0:24:51.320 --> 0:24:55.720
<v Speaker 1>happy creature. Yeah. And another finding this was pretty fascinating,

0:24:55.760 --> 0:24:58.080
<v Speaker 1>the largest sex differences in smiling a card when men

0:24:58.160 --> 0:25:02.600
<v Speaker 1>and women thought they were being observed. So again that's

0:25:02.600 --> 0:25:05.600
<v Speaker 1>this idea that, um, you know, if you're being observed,

0:25:05.600 --> 0:25:07.840
<v Speaker 1>then you're going to fulfill whatever social role you think

0:25:07.840 --> 0:25:11.000
<v Speaker 1>you're supposed to be playing. And you know, perhaps then

0:25:11.040 --> 0:25:14.040
<v Speaker 1>that's when you see women smiling more, because that's what

0:25:14.080 --> 0:25:17.159
<v Speaker 1>women do in in in the bigger social contract that

0:25:17.240 --> 0:25:19.800
<v Speaker 1>we all are sort of signing on too. And as

0:25:19.840 --> 0:25:22.480
<v Speaker 1>we talked about the teenager brain before and our we

0:25:22.480 --> 0:25:24.199
<v Speaker 1>did a whole episode on that. Check that out in

0:25:24.240 --> 0:25:27.760
<v Speaker 1>our archives we talked about just how far more important

0:25:27.840 --> 0:25:30.560
<v Speaker 1>the social world is to the teenager because you have

0:25:30.720 --> 0:25:33.240
<v Speaker 1>an organism that is has evolved to the point where

0:25:33.240 --> 0:25:35.200
<v Speaker 1>it's supposed to be branching off and finding a new

0:25:35.240 --> 0:25:37.399
<v Speaker 1>tribe to live in and fit in with, and therefore

0:25:37.440 --> 0:25:41.159
<v Speaker 1>it's it's to the to the species side of us,

0:25:41.520 --> 0:25:44.359
<v Speaker 1>it is it is literally life and death, even though

0:25:44.880 --> 0:25:47.320
<v Speaker 1>social agent in high school it's not life and death.

0:25:47.600 --> 0:25:50.639
<v Speaker 1>So um, so you can imagine how this, uh, the

0:25:50.680 --> 0:25:53.080
<v Speaker 1>pressure to smile or not to smile would be even

0:25:53.160 --> 0:25:56.679
<v Speaker 1>greater in in say high school lunch ron. Well, yes,

0:25:56.760 --> 0:25:59.600
<v Speaker 1>especially if you thought that your smile might be rejected,

0:26:00.000 --> 0:26:03.160
<v Speaker 1>because we talked about how that the pain was actually

0:26:03.240 --> 0:26:06.120
<v Speaker 1>felt more in the teenage brain, and we've talked about

0:26:06.119 --> 0:26:09.400
<v Speaker 1>how pain in terms of emotion and physical pain are

0:26:09.440 --> 0:26:13.480
<v Speaker 1>both processed by the magdala. So um, yeah, I can

0:26:13.520 --> 0:26:15.439
<v Speaker 1>see that. So I think what the spells out to

0:26:15.440 --> 0:26:18.800
<v Speaker 1>everybody is you gotta smile. You don't have a choice. Yeah,

0:26:18.840 --> 0:26:21.600
<v Speaker 1>you will smile, don't fight it. In fact, you really

0:26:21.600 --> 0:26:24.439
<v Speaker 1>should probably be going in the opposite direction, trying to

0:26:24.480 --> 0:26:27.240
<v Speaker 1>smile more faking it until you make it, but also

0:26:27.320 --> 0:26:30.960
<v Speaker 1>just faking it in general. Um now on the on

0:26:31.000 --> 0:26:33.680
<v Speaker 1>the subject of fake smiles, Mary le France we mentioned

0:26:33.680 --> 0:26:36.679
<v Speaker 1>earlier um I was reading a Wired dot com interview

0:26:36.680 --> 0:26:39.280
<v Speaker 1>with her, and she pointed out that the problem is

0:26:39.320 --> 0:26:42.240
<v Speaker 1>that in some situations were just too preoccupied with other

0:26:42.280 --> 0:26:44.960
<v Speaker 1>details that we're just not going to notice. You know,

0:26:44.960 --> 0:26:47.520
<v Speaker 1>it's like, all right, somebody smiling, they're talking at me, Fine,

0:26:48.240 --> 0:26:50.360
<v Speaker 1>you just let it pass. But if you're actually able

0:26:50.400 --> 0:26:52.720
<v Speaker 1>to focus in on that grin and it actually becomes

0:26:52.720 --> 0:26:55.880
<v Speaker 1>the thing that you're you're thinking about and contemplating, then

0:26:55.920 --> 0:26:59.080
<v Speaker 1>you can more often than not see through the fakeness. Well,

0:26:59.119 --> 0:27:02.080
<v Speaker 1>and we've talked about micro expressions before, the split second

0:27:02.400 --> 0:27:06.399
<v Speaker 1>expressions across the face, and so we we pick up

0:27:06.400 --> 0:27:08.160
<v Speaker 1>on those, like you say, if you're really paying attention,

0:27:08.200 --> 0:27:10.240
<v Speaker 1>if you're not distracted, so you could have a smile,

0:27:10.280 --> 0:27:12.600
<v Speaker 1>but you could also have a WinCE in there. So

0:27:12.640 --> 0:27:14.359
<v Speaker 1>it was really important for us to be able to

0:27:14.400 --> 0:27:17.920
<v Speaker 1>pick up on those really subtle hints about what someone's feeling,

0:27:18.200 --> 0:27:20.720
<v Speaker 1>because a lot of the way that we communicate is

0:27:21.040 --> 0:27:26.520
<v Speaker 1>non verbal. So here's a question, should we all have

0:27:26.800 --> 0:27:31.600
<v Speaker 1>permanent smiles inscribed on our faces? Because this has apparently

0:27:31.640 --> 0:27:35.119
<v Speaker 1>been a trend to some degree in South Korea, with

0:27:35.240 --> 0:27:38.720
<v Speaker 1>the individuals getting this, uh, this perma smile etched into

0:27:38.720 --> 0:27:41.160
<v Speaker 1>their face kind of kind of a mild like little

0:27:41.240 --> 0:27:42.560
<v Speaker 1>just in a little up turn out like a full

0:27:42.600 --> 0:27:46.040
<v Speaker 1>on joker face. But that the idea of then you'll

0:27:46.040 --> 0:27:48.280
<v Speaker 1>look happier all the time. And really, when you look

0:27:48.280 --> 0:27:50.680
<v Speaker 1>at the science, it begins to make a certain sort

0:27:50.720 --> 0:27:53.760
<v Speaker 1>of sense. Like if you'd ask me beforehand, hey, would

0:27:53.800 --> 0:27:55.400
<v Speaker 1>you want to have a smile inscribed in your face?

0:27:55.400 --> 0:27:57.320
<v Speaker 1>I would say no. And I would still say no,

0:27:57.480 --> 0:28:00.280
<v Speaker 1>but I would at least now be able to say all.

0:28:00.920 --> 0:28:02.600
<v Speaker 1>I wouldn't do it personally, but I can see what

0:28:02.640 --> 0:28:04.960
<v Speaker 1>the benefits would be. I don't know. I think that

0:28:05.000 --> 0:28:09.640
<v Speaker 1>it would be really confusing in seriously sad situations if

0:28:09.640 --> 0:28:12.880
<v Speaker 1>someone was staring back at me with a little smile. Well, yeah,

0:28:12.920 --> 0:28:15.119
<v Speaker 1>because to your point, the social contract, and sometimes the

0:28:15.200 --> 0:28:18.800
<v Speaker 1>social contract is saying do not smile, do not at

0:28:18.800 --> 0:28:21.600
<v Speaker 1>this very moment. Do the opposite of that, please, Yeah,

0:28:21.600 --> 0:28:22.840
<v Speaker 1>So if you look at it that way, it would

0:28:23.080 --> 0:28:24.800
<v Speaker 1>be a definite problem. You'd really have to be in

0:28:24.800 --> 0:28:29.679
<v Speaker 1>the right occupation, like maybe newscaster, like not not like

0:28:29.720 --> 0:28:33.600
<v Speaker 1>a full like twenty four our newscaster, but more like

0:28:33.680 --> 0:28:37.959
<v Speaker 1>a local newscaster. I think like the good morning you know,

0:28:38.000 --> 0:28:41.280
<v Speaker 1>like happy news person. Yeah where even even countering before,

0:28:41.280 --> 0:28:43.800
<v Speaker 1>like they're even delivering kind of down news, but they

0:28:43.800 --> 0:28:45.600
<v Speaker 1>still keep that smile on their face. They think it's

0:28:45.640 --> 0:28:47.480
<v Speaker 1>a little it can be a little creepy because then

0:28:47.520 --> 0:28:49.160
<v Speaker 1>we're back in the area. If you're using a smile

0:28:49.320 --> 0:28:52.400
<v Speaker 1>when you really shouldn't be, and and it's really skewing

0:28:52.400 --> 0:28:54.360
<v Speaker 1>the message you're trying to relate, we'll see that's the

0:28:54.360 --> 0:28:59.400
<v Speaker 1>botox problem. Like there are some applications of botox that

0:28:59.480 --> 0:29:02.960
<v Speaker 1>actually will inhibit the person to use the muscles to frown.

0:29:03.600 --> 0:29:06.920
<v Speaker 1>And you know, by the way those people report being

0:29:06.920 --> 0:29:10.960
<v Speaker 1>happier perhaps because they can't frown, but again, you can't

0:29:10.960 --> 0:29:12.920
<v Speaker 1>take the social cue off of their face and really

0:29:12.960 --> 0:29:15.440
<v Speaker 1>know what they're thinking or responding to. Right, And then

0:29:15.480 --> 0:29:17.000
<v Speaker 1>it comes back to what we were talking about earlier.

0:29:17.040 --> 0:29:19.680
<v Speaker 1>If if you were to whatever degree you were inhibited

0:29:19.880 --> 0:29:23.400
<v Speaker 1>from smiling, you are that inhibit your ability to sync

0:29:23.440 --> 0:29:27.160
<v Speaker 1>with someone else's smile to understand the emotions behind behind

0:29:27.240 --> 0:29:30.080
<v Speaker 1>their facial situation. All right, So think about that the

0:29:30.200 --> 0:29:33.000
<v Speaker 1>next time you engage in a smiling session. With your

0:29:33.040 --> 0:29:35.920
<v Speaker 1>fellow human. Do you see the crinkler eyes or is

0:29:35.960 --> 0:29:40.520
<v Speaker 1>it just the zygomatic major muscle plan let us know. Yeah,

0:29:40.520 --> 0:29:41.560
<v Speaker 1>if you want to get in touch with us, you

0:29:41.560 --> 0:29:43.640
<v Speaker 1>can find us in all the normal places. You want

0:29:43.640 --> 0:29:45.760
<v Speaker 1>to see that smile gallery we're talking about. Head to

0:29:45.880 --> 0:29:48.000
<v Speaker 1>Stuff to Bow your Mind dot com. That's the mothership.

0:29:48.040 --> 0:29:50.800
<v Speaker 1>That's where we put all the podcast episodes, and I

0:29:50.880 --> 0:29:52.280
<v Speaker 1>mean all of them, not just the ones that are

0:29:52.320 --> 0:29:54.760
<v Speaker 1>available on iTunes and wherever you go to get it.

0:29:54.920 --> 0:29:56.200
<v Speaker 1>We have all of them on the site. You can

0:29:56.200 --> 0:29:58.640
<v Speaker 1>also find our blog posts, you can find our videos,

0:29:59.160 --> 0:30:01.320
<v Speaker 1>you can find links all of our social accounts, and

0:30:01.400 --> 0:30:03.000
<v Speaker 1>you can just go to those social accounts out right.

0:30:03.280 --> 0:30:06.840
<v Speaker 1>We are generally going at it on Facebook, Twitter, Tumbler,

0:30:07.280 --> 0:30:09.560
<v Speaker 1>We're on Google Plus and hey, we also have that

0:30:09.600 --> 0:30:13.200
<v Speaker 1>YouTube channel, Mind Stuff Show, And you can always craft

0:30:13.240 --> 0:30:15.560
<v Speaker 1>an email and send it to Blow the Mind at

0:30:15.560 --> 0:30:21.680
<v Speaker 1>Discovery dot com. For more on this and thousands of

0:30:21.680 --> 0:30:30.840
<v Speaker 1>other topics, visit how Stuff Works dot com