The hidden power of smiling - Ron Gutman
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[Music]
[Music]
[Applause]
when<00:00:16.160> I<00:00:16.279> was<00:00:16.400> a<00:00:16.600> child<00:00:17.199> I<00:00:17.320> always<00:00:17.520> wanted<00:00:17.760> to<00:00:17.880> be
when I was a child I always wanted to be
when I was a child I always wanted to be
a<00:00:18.160> superhero<00:00:18.760> I<00:00:18.880> wanted<00:00:19.080> to<00:00:19.279> save<00:00:19.600> the<00:00:19.800> world
a superhero I wanted to save the world
a superhero I wanted to save the world
and<00:00:20.800> make<00:00:21.080> everyone<00:00:21.560> happy<00:00:22.279> but<00:00:22.439> I<00:00:22.560> knew<00:00:22.800> that
and make everyone happy but I knew that
and make everyone happy but I knew that
i'<00:00:23.080> need<00:00:23.320> superpowers<00:00:24.039> to<00:00:24.240> make<00:00:24.480> my<00:00:24.640> dreams
i' need superpowers to make my dreams
i' need superpowers to make my dreams
come<00:00:25.320> true<00:00:26.080> so<00:00:26.240> I<00:00:26.320> used<00:00:26.519> to<00:00:26.599> embark<00:00:26.880> on<00:00:27.000> these
come true so I used to embark on these
come true so I used to embark on these
imaginary<00:00:27.800> Journeys<00:00:28.560> to<00:00:28.720> find<00:00:28.960> Intergalactic
imaginary Journeys to find Intergalactic
imaginary Journeys to find Intergalactic
object<00:00:30.240> from<00:00:30.439> Planet<00:00:30.920> Krypton<00:00:31.920> which<00:00:32.119> was<00:00:32.279> a
object from Planet Krypton which was a
object from Planet Krypton which was a
lot<00:00:32.559> of<00:00:32.719> fun<00:00:33.040> but<00:00:33.239> didn't<00:00:33.440> need<00:00:33.719> much<00:00:34.360> result
lot of fun but didn't need much result
lot of fun but didn't need much result
when<00:00:35.520> I<00:00:35.680> grew<00:00:35.960> up<00:00:36.480> and<00:00:36.600> realized<00:00:37.000> that<00:00:37.120> science
when I grew up and realized that science
when I grew up and realized that science
fiction<00:00:37.719> was<00:00:37.879> not<00:00:38.079> a<00:00:38.239> good<00:00:38.399> source<00:00:38.760> for
fiction was not a good source for
fiction was not a good source for
superpowers<00:00:40.200> I<00:00:40.320> decided<00:00:40.760> instead<00:00:41.120> to<00:00:41.280> embark
superpowers I decided instead to embark
superpowers I decided instead to embark
on<00:00:42.079> a<00:00:42.239> journey<00:00:42.559> of<00:00:42.760> real<00:00:43.079> science<00:00:43.559> to<00:00:43.719> find<00:00:43.920> a
on a journey of real science to find a
on a journey of real science to find a
more<00:00:44.320> useful<00:00:44.840> truth<00:00:45.840> I<00:00:46.039> started<00:00:46.320> my<00:00:46.440> journey
more useful truth I started my journey
more useful truth I started my journey
in<00:00:46.960> California<00:00:47.680> with<00:00:47.840> a<00:00:48.480> UC<00:00:48.840> Berkeley<00:00:49.280> 30-year
in California with a UC Berkeley 30-year
in California with a UC Berkeley 30-year
longitudinal<00:00:50.719> study<00:00:51.600> that<00:00:51.800> examined<00:00:52.280> the
longitudinal study that examined the
longitudinal study that examined the
photos<00:00:52.879> of<00:00:53.079> student<00:00:53.440> in<00:00:53.559> an<00:00:53.719> old<00:00:54.359> yearbook<00:00:55.359> and
photos of student in an old yearbook and
photos of student in an old yearbook and
tried<00:00:55.879> to<00:00:56.280> measure<00:00:56.680> their<00:00:57.000> success<00:00:57.719> and
tried to measure their success and
tried to measure their success and
wellbeing<00:00:58.480> throughout<00:00:58.840> their<00:00:59.079> life<00:00:59.800> but<00:01:00.000> by
wellbeing throughout their life but by
wellbeing throughout their life but by
measuring<00:01:00.480> the<00:01:00.760> student<00:01:01.199> Smiles<00:01:01.719> researcher
measuring the student Smiles researcher
measuring the student Smiles researcher
were<00:01:02.440> able<00:01:02.719> to<00:01:03.000> predict<00:01:03.840> how<00:01:04.040> fulfilling<00:01:04.720> and
were able to predict how fulfilling and
were able to predict how fulfilling and
longlasting<00:01:05.479> a<00:01:06.200> subject<00:01:06.680> marriage<00:01:07.159> will
longlasting a subject marriage will
longlasting a subject marriage will
be<00:01:09.040> how<00:01:09.200> well<00:01:09.439> she<00:01:09.560> would<00:01:09.759> score<00:01:10.280> in
be how well she would score in
be how well she would score in
standardized<00:01:11.159> tests<00:01:11.560> of<00:01:12.040> well-being<00:01:13.040> and<00:01:13.240> how
standardized tests of well-being and how
standardized tests of well-being and how
inspiring<00:01:14.159> she<00:01:14.320> would<00:01:14.479> be<00:01:14.640> to
inspiring she would be to
inspiring she would be to
others<00:01:16.479> in<00:01:16.640> another<00:01:16.960> yearbook<00:01:17.400> I<00:01:17.479> stumbled
others in another yearbook I stumbled
others in another yearbook I stumbled
upon<00:01:18.280> Barry<00:01:18.640> Obama's<00:01:19.200> picture<00:01:20.200> when<00:01:20.320> I<00:01:20.439> first
upon Barry Obama's picture when I first
upon Barry Obama's picture when I first
saw<00:01:20.880> his<00:01:21.040> picture<00:01:21.320> I<00:01:21.400> thought<00:01:21.560> that<00:01:21.720> his
saw his picture I thought that his
saw his picture I thought that his
superpowers<00:01:22.600> came<00:01:22.799> from<00:01:23.079> his<00:01:23.560> super
superpowers came from his super
superpowers came from his super
color<00:01:26.040> but<00:01:26.240> now<00:01:26.400> I<00:01:26.520> know<00:01:26.720> it<00:01:26.799> was<00:01:26.960> all<00:01:27.119> in<00:01:27.240> a
color but now I know it was all in a
color but now I know it was all in a
smile<00:01:28.960> another<00:01:29.360> aha<00:01:29.680> moment<00:01:30.159> came<00:01:30.360> from<00:01:30.520> a
smile another aha moment came from a
smile another aha moment came from a
2010<00:01:31.720> Wayne<00:01:32.040> State<00:01:32.439> University<00:01:33.439> uh<00:01:33.560> research
2010 Wayne State University uh research
2010 Wayne State University uh research
project<00:01:34.320> that<00:01:34.439> looked<00:01:34.759> into<00:01:35.360> pre-1950s
project that looked into pre-1950s
project that looked into pre-1950s
baseball<00:01:36.799> cards<00:01:37.119> of<00:01:37.320> major<00:01:37.600> league<00:01:38.079> players
baseball cards of major league players
baseball cards of major league players
the<00:01:39.200> researchers<00:01:39.759> found<00:01:40.040> that<00:01:40.200> the<00:01:40.439> span<00:01:40.840> of<00:01:40.960> a
the researchers found that the span of a
the researchers found that the span of a
player's<00:01:41.600> smile<00:01:42.520> could<00:01:42.799> actually<00:01:43.159> predict
player's smile could actually predict
player's smile could actually predict
the<00:01:43.840> span<00:01:44.280> of<00:01:44.520> his<00:01:45.040> life<00:01:46.040> players<00:01:46.640> who<00:01:46.880> didn't
the span of his life players who didn't
the span of his life players who didn't
smile<00:01:47.479> in<00:01:47.600> their<00:01:47.840> pictures<00:01:48.439> lived<00:01:48.759> an<00:01:48.920> average
smile in their pictures lived an average
smile in their pictures lived an average
of<00:01:49.360> only<00:01:49.920> 72.9<00:01:50.920> years<00:01:51.520> where<00:01:51.880> players<00:01:52.320> with
of only 72.9 years where players with
of only 72.9 years where players with
beaming<00:01:53.079> Smiles<00:01:53.880> lived<00:01:54.159> an<00:01:54.360> average<00:01:54.719> of
beaming Smiles lived an average of
beaming Smiles lived an average of
almost<00:01:55.360> 80
almost 80
almost 80
years<00:01:58.799> the<00:01:58.960> good<00:01:59.159> news<00:01:59.399> is<00:01:59.520> that<00:01:59.680> we're
years the good news is that we're
years the good news is that we're
actually<00:02:00.520> born<00:02:00.920> smiling<00:02:01.840> using<00:02:02.200> 3D
actually born smiling using 3D
actually born smiling using 3D
ultrasound<00:02:03.159> technology<00:02:03.680> we<00:02:03.799> can<00:02:03.960> now<00:02:04.240> see
ultrasound technology we can now see
ultrasound technology we can now see
that<00:02:05.079> developing<00:02:05.719> babies<00:02:06.119> appear<00:02:06.439> to<00:02:06.680> smile
that developing babies appear to smile
that developing babies appear to smile
even<00:02:07.920> in<00:02:08.039> the<00:02:08.360> womb<00:02:09.360> when<00:02:09.520> they're<00:02:09.800> born
even in the womb when they're born
even in the womb when they're born
babies<00:02:10.879> continue<00:02:11.319> to<00:02:11.520> smile<00:02:12.120> initially
babies continue to smile initially
babies continue to smile initially
mostly<00:02:12.920> in<00:02:13.080> their<00:02:13.520> sleep<00:02:14.360> and<00:02:14.599> even<00:02:14.959> blind
mostly in their sleep and even blind
mostly in their sleep and even blind
babies<00:02:15.879> smile<00:02:16.200> to<00:02:16.400> the<00:02:16.560> sound<00:02:17.280> of<00:02:17.440> the<00:02:17.599> human
babies smile to the sound of the human
babies smile to the sound of the human
voice<00:02:19.560> smiling<00:02:19.959> is<00:02:20.120> one<00:02:20.239> of<00:02:20.360> the<00:02:20.480> most<00:02:20.800> basic
voice smiling is one of the most basic
voice smiling is one of the most basic
biologically<00:02:21.840> uniform<00:02:22.440> expressions<00:02:23.400> of<00:02:23.599> all
biologically uniform expressions of all
biologically uniform expressions of all
humans<00:02:24.720> in<00:02:24.920> studies<00:02:25.280> he<00:02:25.440> conducted<00:02:25.840> in<00:02:26.000> Papa
humans in studies he conducted in Papa
humans in studies he conducted in Papa
new<00:02:26.519> guini<00:02:26.840> Paul<00:02:27.080> emman<00:02:27.879> the<00:02:28.000> world<00:02:28.360> most
new guini Paul emman the world most
new guini Paul emman the world most
renowned<00:02:29.360> researcher<00:02:29.920> on<00:02:30.120> facial<00:02:30.480> expression
renowned researcher on facial expression
renowned researcher on facial expression
found<00:02:31.840> that<00:02:32.040> even<00:02:32.319> members<00:02:32.720> of<00:02:32.879> the<00:02:33.000> fory
found that even members of the fory
found that even members of the fory
tribe<00:02:34.440> who<00:02:34.599> were<00:02:34.879> completely<00:02:35.480> disconnected
tribe who were completely disconnected
tribe who were completely disconnected
from<00:02:36.319> Western<00:02:36.760> culture<00:02:37.519> and<00:02:37.800> also<00:02:38.120> known<00:02:38.400> for
from Western culture and also known for
from Western culture and also known for
their<00:02:38.879> unusual<00:02:39.519> cannibalism
their unusual cannibalism
their unusual cannibalism
rituals<00:02:42.200> attributed<00:02:42.760> smile<00:02:43.159> to<00:02:43.360> descriptions
rituals attributed smile to descriptions
rituals attributed smile to descriptions
of<00:02:44.040> situation<00:02:44.599> the<00:02:44.760> same<00:02:45.080> way<00:02:45.560> you<00:02:45.959> and<00:02:46.200> I
of situation the same way you and I
of situation the same way you and I
would<00:02:47.159> so<00:02:47.480> from<00:02:47.720> Papa<00:02:48.000> nug
would so from Papa nug
would so from Papa nug
guini<00:02:50.200> to<00:02:51.080> Hollywood<00:02:52.080> all<00:02:52.280> the<00:02:52.400> way<00:02:52.599> to<00:02:53.080> Modern
guini to Hollywood all the way to Modern
guini to Hollywood all the way to Modern
Art<00:02:54.120> in<00:02:54.599> Beijing<00:02:55.599> we<00:02:55.800> smile<00:02:56.319> often<00:02:57.040> and<00:02:57.200> use
Art in Beijing we smile often and use
Art in Beijing we smile often and use
smile<00:02:57.760> to<00:02:57.959> express<00:02:58.599> joy<00:02:59.280> and<00:02:59.440> satis<00:03:00.080> action
smile to express joy and satis action
smile to express joy and satis action
how<00:03:01.040> many<00:03:01.280> people<00:03:01.560> here<00:03:01.800> in<00:03:01.959> this<00:03:02.120> room<00:03:02.400> smile
how many people here in this room smile
how many people here in this room smile
more<00:03:02.959> than<00:03:03.239> 20<00:03:03.640> times<00:03:03.959> per<00:03:04.200> day<00:03:04.640> raise<00:03:04.840> your
more than 20 times per day raise your
more than 20 times per day raise your
hand<00:03:05.239> if<00:03:05.360> you<00:03:05.760> do<00:03:06.760> oh<00:03:07.280> wow<00:03:08.280> outside<00:03:08.640> of<00:03:08.840> this
hand if you do oh wow outside of this
hand if you do oh wow outside of this
room<00:03:09.680> more<00:03:09.879> than<00:03:10.000> a<00:03:10.200> third<00:03:10.480> of<00:03:10.640> us<00:03:11.080> smile<00:03:11.480> more
room more than a third of us smile more
room more than a third of us smile more
than<00:03:11.799> 20<00:03:12.159> times<00:03:12.400> per<00:03:12.640> day<00:03:13.080> whereas<00:03:13.519> less<00:03:13.760> than
than 20 times per day whereas less than
than 20 times per day whereas less than
14%<00:03:15.040> of<00:03:15.239> us<00:03:15.920> smile<00:03:16.360> less<00:03:16.560> than<00:03:16.840> five<00:03:17.720> in<00:03:17.959> fact
14% of us smile less than five in fact
14% of us smile less than five in fact
those<00:03:19.000> with<00:03:19.120> the<00:03:19.280> most<00:03:19.560> amazing<00:03:20.120> superpowers
those with the most amazing superpowers
those with the most amazing superpowers
are<00:03:21.400> actually<00:03:22.200> children<00:03:23.120> who<00:03:23.319> Smile<00:03:23.640> as<00:03:23.840> many
are actually children who Smile as many
are actually children who Smile as many
as<00:03:24.360> 400<00:03:25.280> times<00:03:25.640> per<00:03:26.200> day<00:03:27.200> have<00:03:27.319> you<00:03:27.480> ever
as 400 times per day have you ever
as 400 times per day have you ever
wondered<00:03:28.000> why<00:03:28.120> being<00:03:28.360> around<00:03:28.680> children<00:03:29.280> who
wondered why being around children who
wondered why being around children who
smile<00:03:29.799> SM<00:03:30.239> so<00:03:30.519> frequently<00:03:31.000> make<00:03:31.159> you<00:03:31.360> smile
smile SM so frequently make you smile
smile SM so frequently make you smile
very
very
very
often<00:03:34.200> a<00:03:34.360> research<00:03:34.840> study<00:03:35.159> at<00:03:35.360> oopsa
often a research study at oopsa
often a research study at oopsa
University<00:03:36.319> in<00:03:36.480> Sweden<00:03:37.280> found<00:03:37.599> that<00:03:37.760> it's
University in Sweden found that it's
University in Sweden found that it's
very<00:03:38.400> difficult<00:03:38.560> to<00:03:38.760> fra<00:03:39.640> when<00:03:39.840> looking<00:03:40.120> at
very difficult to fra when looking at
very difficult to fra when looking at
someone<00:03:40.879> who<00:03:41.120> Smiles<00:03:42.080> you<00:03:42.319> ask<00:03:42.720> why<00:03:43.599> because
someone who Smiles you ask why because
someone who Smiles you ask why because
smiling<00:03:44.319> is<00:03:44.519> evolutionary<00:03:45.280> contagious<00:03:46.239> and
smiling is evolutionary contagious and
smiling is evolutionary contagious and
it<00:03:46.519> suppresses<00:03:47.080> the<00:03:47.280> control<00:03:47.920> we<00:03:48.080> usually
it suppresses the control we usually
it suppresses the control we usually
have<00:03:49.080> on<00:03:49.280> our<00:03:49.480> facial<00:03:50.159> muscles<00:03:51.159> mimicking<00:03:51.640> a
have on our facial muscles mimicking a
have on our facial muscles mimicking a
smile<00:03:52.480> and<00:03:52.720> experiencing<00:03:53.439> it<00:03:53.760> physically
smile and experiencing it physically
smile and experiencing it physically
help<00:03:54.799> us<00:03:55.280> understand<00:03:55.480> whether<00:03:55.680> a<00:03:55.840> smile<00:03:56.239> is
help us understand whether a smile is
help us understand whether a smile is
fake<00:03:57.400> or<00:03:57.640> real<00:03:58.239> so<00:03:58.400> we<00:03:58.519> can<00:03:58.959> understand<00:03:59.120> the
fake or real so we can understand the
fake or real so we can understand the
emotional<00:04:00.040> state<00:04:00.760> of<00:04:00.959> The<00:04:01.519> Smiler<00:04:02.519> in<00:04:02.640> a
emotional state of The Smiler in a
emotional state of The Smiler in a
recent<00:04:03.239> mimicking<00:04:03.760> study<00:04:04.319> at<00:04:04.480> the<00:04:04.599> University
recent mimicking study at the University
recent mimicking study at the University
of<00:04:05.319> claron<00:04:05.920> Fon<00:04:06.360> in<00:04:06.599> France<00:04:07.360> subject<00:04:07.799> were
of claron Fon in France subject were
of claron Fon in France subject were
asked<00:04:08.239> to<00:04:08.400> determine<00:04:08.840> whether<00:04:09.040> a<00:04:09.239> smile<00:04:09.599> was
asked to determine whether a smile was
asked to determine whether a smile was
real<00:04:10.560> or<00:04:10.879> fake<00:04:11.239> while<00:04:11.439> holding<00:04:11.760> a<00:04:11.959> pencil<00:04:12.360> in
real or fake while holding a pencil in
real or fake while holding a pencil in
their<00:04:12.760> mouth<00:04:13.519> to<00:04:13.720> repress<00:04:14.720> smiling<00:04:15.199> muscles
their mouth to repress smiling muscles
their mouth to repress smiling muscles
without<00:04:16.479> the<00:04:16.639> pencil<00:04:17.040> subjects<00:04:17.440> were
without the pencil subjects were
without the pencil subjects were
excellent<00:04:18.280> judges<00:04:18.720> but<00:04:18.919> with<00:04:19.079> the<00:04:19.280> pencil<00:04:20.000> in
excellent judges but with the pencil in
excellent judges but with the pencil in
their<00:04:20.400> mouth<00:04:20.720> when<00:04:20.880> they<00:04:21.000> could<00:04:21.160> not<00:04:21.519> mimic
their mouth when they could not mimic
their mouth when they could not mimic
the<00:04:22.120> smile<00:04:22.600> they<00:04:22.800> saw<00:04:23.560> their<00:04:23.960> judgment<00:04:24.600> was
the smile they saw their judgment was
the smile they saw their judgment was
impaired<00:04:27.280> in<00:04:27.440> addition<00:04:27.720> to<00:04:27.880> theorizing<00:04:28.360> on
impaired in addition to theorizing on
impaired in addition to theorizing on
evolution<00:04:29.360> in<00:04:29.479> the<00:04:29.720> Origin<00:04:30.000> of<00:04:30.199> Species
evolution in the Origin of Species
evolution in the Origin of Species
Charles<00:04:31.039> Darwin<00:04:31.520> also<00:04:31.759> wrote<00:04:32.479> the<00:04:32.680> facial
Charles Darwin also wrote the facial
Charles Darwin also wrote the facial
feedback<00:04:33.840> response<00:04:34.400> Theory<00:04:35.199> his<00:04:35.440> theory
feedback response Theory his theory
feedback response Theory his theory
states<00:04:36.440> that<00:04:36.600> the<00:04:36.919> act<00:04:37.240> of<00:04:37.400> smiling<00:04:38.000> itself
states that the act of smiling itself
states that the act of smiling itself
actually<00:04:38.880> makes<00:04:39.160> us<00:04:39.759> feel<00:04:40.120> better<00:04:40.720> rather
actually makes us feel better rather
actually makes us feel better rather
than<00:04:41.120> smiling<00:04:41.560> being<00:04:41.880> merely<00:04:42.240> a<00:04:42.479> result<00:04:43.400> of
than smiling being merely a result of
than smiling being merely a result of
feeling<00:04:44.039> good<00:04:44.880> uh<00:04:45.000> in<00:04:45.080> his<00:04:45.320> study<00:04:46.080> Darwin
feeling good uh in his study Darwin
feeling good uh in his study Darwin
actually<00:04:46.720> cited<00:04:47.039> the<00:04:47.160> French<00:04:47.400> neurologist
actually cited the French neurologist
actually cited the French neurologist
Julian<00:04:48.639> duam<00:04:49.479> who<00:04:49.600> used<00:04:49.960> electric<00:04:50.440> jolts<00:04:50.960> to
Julian duam who used electric jolts to
Julian duam who used electric jolts to
facial<00:04:51.639> muscles<00:04:52.400> to<00:04:52.639> induce<00:04:53.080> and<00:04:53.280> stimulate
facial muscles to induce and stimulate
facial muscles to induce and stimulate
Smiles<00:04:54.800> please<00:04:55.240> don't<00:04:55.560> try<00:04:55.880> this<00:04:56.039> at
Smiles please don't try this at
Smiles please don't try this at
home<00:04:58.840> in<00:04:58.960> a<00:04:59.120> related<00:04:59.440> jour<00:05:00.000> study<00:05:00.600> researchers
home in a related jour study researchers
home in a related jour study researchers
used<00:05:01.440> fmri<00:05:02.160> Imaging<00:05:02.919> to<00:05:03.120> measure<00:05:03.440> brain
used fmri Imaging to measure brain
used fmri Imaging to measure brain
activity<00:05:04.440> before<00:05:05.280> and<00:05:05.560> after<00:05:06.039> injecting
activity before and after injecting
activity before and after injecting
Botox<00:05:07.479> to<00:05:07.800> suppress<00:05:08.520> smiling<00:05:09.320> muscles<00:05:10.320> the
Botox to suppress smiling muscles the
Botox to suppress smiling muscles the
finding<00:05:10.960> supported<00:05:11.440> Darwin's<00:05:11.880> theory<00:05:12.720> but<00:05:13.000> by
finding supported Darwin's theory but by
finding supported Darwin's theory but by
showing<00:05:13.479> that<00:05:13.639> facial<00:05:14.000> feedback<00:05:14.479> modifies
showing that facial feedback modifies
showing that facial feedback modifies
the<00:05:15.199> neural<00:05:15.520> processing<00:05:16.039> of<00:05:16.240> emotional
the neural processing of emotional
the neural processing of emotional
content<00:05:17.199> in<00:05:17.360> the<00:05:17.520> brain<00:05:18.120> in<00:05:18.280> a<00:05:18.440> way<00:05:18.600> that<00:05:18.800> helps
content in the brain in a way that helps
content in the brain in a way that helps
us<00:05:19.240> feel<00:05:19.600> better<00:05:20.400> when<00:05:20.600> we
us feel better when we
us feel better when we
smile<00:05:22.919> smiling<00:05:23.360> stimulates<00:05:23.840> our<00:05:24.000> brain
smile smiling stimulates our brain
smile smiling stimulates our brain
reward<00:05:24.639> mechanism<00:05:25.080> in<00:05:25.199> a<00:05:25.360> way<00:05:25.520> that<00:05:25.680> even
reward mechanism in a way that even
reward mechanism in a way that even
Chocolat<00:05:26.720> a<00:05:26.960> well<00:05:27.639> regarded<00:05:28.560> pleasure
Chocolat a well regarded pleasure
Chocolat a well regarded pleasure
inducer<00:05:29.720> cannot<00:05:30.440> match<00:05:31.440> British<00:05:31.800> researchers
inducer cannot match British researchers
inducer cannot match British researchers
found<00:05:33.199> that<00:05:33.440> one<00:05:33.759> smile<00:05:34.520> can<00:05:34.759> generate<00:05:35.280> the
found that one smile can generate the
found that one smile can generate the
same<00:05:35.800> level<00:05:36.039> of<00:05:36.199> brain<00:05:36.479> stimulation<00:05:37.440> as<00:05:37.759> up<00:05:37.919> to
same level of brain stimulation as up to
same level of brain stimulation as up to
2,000<00:05:39.080> bars<00:05:39.440> of
chocolate<00:05:43.280> wait<00:05:43.919> the<00:05:44.120> same<00:05:44.520> study<00:05:45.039> found<00:05:45.759> the
chocolate wait the same study found the
chocolate wait the same study found the
smiling<00:05:46.440> is<00:05:46.759> as<00:05:47.039> stimulating<00:05:48.000> as<00:05:48.400> receiving
smiling is as stimulating as receiving
smiling is as stimulating as receiving
up<00:05:48.919> to<00:05:49.560> 16,000<00:05:50.560> Sterling<00:05:51.039> in
up to 16,000 Sterling in
up to 16,000 Sterling in
cash<00:05:53.120> that's<00:05:53.319> like<00:05:53.479> 25<00:05:53.960> Grand<00:05:54.199> of<00:05:54.319> smile<00:05:54.960> it's
cash that's like 25 Grand of smile it's
cash that's like 25 Grand of smile it's
not
not
not
bad<00:05:56.960> and<00:05:57.080> think<00:05:57.280> about<00:05:57.440> it<00:05:57.600> this<00:05:57.800> way<00:05:58.199> 25,000<00:05:59.039> *
bad and think about it this way 25,000 *
bad and think about it this way 25,000 *
4<00:06:00.039> 400<00:06:01.039> quite<00:06:01.199> a<00:06:01.360> few<00:06:01.680> kids<00:06:01.960> out<00:06:02.120> there<00:06:02.240> feel
4 400 quite a few kids out there feel
4 400 quite a few kids out there feel
like<00:06:02.680> Mark<00:06:02.919> Zuckerberg<00:06:03.560> every
like Mark Zuckerberg every
like Mark Zuckerberg every
day<00:06:06.120> and<00:06:06.319> unlike<00:06:06.680> lots<00:06:06.880> of<00:06:07.080> chocolate<00:06:07.599> lots<00:06:07.800> of
day and unlike lots of chocolate lots of
day and unlike lots of chocolate lots of
smiling<00:06:08.360> can<00:06:08.560> actually<00:06:08.840> make<00:06:09.039> you<00:06:09.400> healthier
smiling can actually make you healthier
smiling can actually make you healthier
smiling<00:06:10.800> can<00:06:11.039> help<00:06:11.280> reduce<00:06:11.680> the<00:06:11.840> level<00:06:12.360> of
smiling can help reduce the level of
smiling can help reduce the level of
stress<00:06:12.919> enhancing<00:06:13.639> hormones<00:06:14.400> like<00:06:14.639> cortisol
stress enhancing hormones like cortisol
stress enhancing hormones like cortisol
adrenaline<00:06:16.400> and<00:06:16.639> dopamine<00:06:17.560> increase<00:06:18.000> the
adrenaline and dopamine increase the
adrenaline and dopamine increase the
level<00:06:18.360> of<00:06:18.520> mood<00:06:18.840> enhancing<00:06:19.440> hormones<00:06:20.160> like
level of mood enhancing hormones like
level of mood enhancing hormones like
endorphin<00:06:21.360> and<00:06:21.560> reduce<00:06:22.400> overall<00:06:22.919> blood
endorphin and reduce overall blood
endorphin and reduce overall blood
pressure<00:06:24.199> and<00:06:24.360> if<00:06:24.599> that's<00:06:24.840> not<00:06:25.120> enough
pressure and if that's not enough
pressure and if that's not enough
smiling<00:06:26.280> can<00:06:26.479> actually<00:06:26.759> make<00:06:26.960> you<00:06:27.199> look<00:06:27.479> good
smiling can actually make you look good
smiling can actually make you look good
in<00:06:27.840> the<00:06:28.000> eyes<00:06:28.240> of<00:06:28.560> others<00:06:29.560> a<00:06:29.680> research<00:06:29.960> study
in the eyes of others a research study
in the eyes of others a research study
at<00:06:30.360> Penn<00:06:30.639> State<00:06:30.880> University<00:06:31.520> found<00:06:31.960> that<00:06:32.160> when
at Penn State University found that when
at Penn State University found that when
you<00:06:32.520> smile<00:06:33.360> you<00:06:33.520> don't<00:06:33.800> only<00:06:34.120> appear<00:06:34.400> to<00:06:34.560> be
you smile you don't only appear to be
you smile you don't only appear to be
more<00:06:35.120> likable<00:06:36.000> and<00:06:36.240> courteous<00:06:37.120> but<00:06:37.280> you're
more likable and courteous but you're
more likable and courteous but you're
actually<00:06:38.039> appear<00:06:38.319> to<00:06:38.440> be<00:06:38.639> more
actually appear to be more
actually appear to be more
competent<00:06:40.960> so<00:06:41.160> whenever<00:06:41.440> you<00:06:41.599> want<00:06:41.759> to<00:06:41.919> look
competent so whenever you want to look
competent so whenever you want to look
great<00:06:42.520> and<00:06:42.800> competent<00:06:43.360> reduce<00:06:43.720> your<00:06:43.960> stress
great and competent reduce your stress
great and competent reduce your stress
or<00:06:44.960> improve<00:06:45.319> your<00:06:45.599> marriage<00:06:46.319> or<00:06:46.479> feel<00:06:46.720> as<00:06:46.840> if
or improve your marriage or feel as if
or improve your marriage or feel as if
you<00:06:47.160> just<00:06:47.319> had<00:06:47.520> a<00:06:47.720> whole<00:06:48.039> stack<00:06:48.680> of<00:06:48.919> high
you just had a whole stack of high
you just had a whole stack of high
quality<00:06:49.560> chocolate<00:06:50.039> without<00:06:50.440> incurring<00:06:50.960> the
quality chocolate without incurring the
quality chocolate without incurring the
caloric<00:06:51.680> cost<00:06:52.400> or<00:06:52.520> as<00:06:52.639> if<00:06:52.759> you<00:06:52.840> found<00:06:53.080> 25<00:06:53.560> Grand
caloric cost or as if you found 25 Grand
caloric cost or as if you found 25 Grand
in<00:06:53.840> a<00:06:54.000> pocket<00:06:54.280> of<00:06:54.400> an<00:06:54.520> old<00:06:54.800> jacket<00:06:55.440> you<00:06:55.639> hadn't
in a pocket of an old jacket you hadn't
in a pocket of an old jacket you hadn't
worn<00:06:56.319> for<00:06:57.120> ages<00:06:58.120> or<00:06:58.319> whenever<00:06:58.680> you<00:06:58.840> want<00:06:59.080> to
worn for ages or whenever you want to
worn for ages or whenever you want to
tap<00:07:00.240> into<00:07:00.479> a<00:07:00.759> superpower<00:07:01.759> that<00:07:01.879> will<00:07:02.160> help<00:07:02.560> you
tap into a superpower that will help you
tap into a superpower that will help you
and<00:07:03.280> everyone<00:07:03.720> around<00:07:04.080> you<00:07:04.599> live<00:07:04.879> a<00:07:05.080> longer
and everyone around you live a longer
and everyone around you live a longer
healthier<00:07:06.560> happier<00:07:07.440> life
healthier happier life
healthier happier life
[Applause]
[Applause]
[Applause]
[Music]
smile
Ron Gutman, TED, TED, Talk, TED-Ed, Ed, TEDEducation, smiling, smiles, smile, health, benefits, smiling, health
