The future of lying - Jeff Hancock
[Music]
[Music]
let<00:00:16.199> me<00:00:16.320> tell<00:00:16.480> you<00:00:16.640> it<00:00:16.760> has<00:00:16.920> been<00:00:17.119> a<00:00:17.400> fantastic
let me tell you it has been a fantastic
let me tell you it has been a fantastic
month<00:00:18.400> for<00:00:18.640> deception<00:00:19.640> and<00:00:19.760> I'm<00:00:19.840> not<00:00:19.960> even
month for deception and I'm not even
month for deception and I'm not even
talking<00:00:20.359> about<00:00:20.519> the<00:00:20.600> American<00:00:20.960> presidential
talking about the American presidential
talking about the American presidential
race<00:00:23.599> we<00:00:23.760> have<00:00:24.240> a<00:00:25.240> high-profile<00:00:26.039> journalist
race we have a high-profile journalist
race we have a high-profile journalist
caught<00:00:26.720> for<00:00:27.080> plagiarism<00:00:28.080> a<00:00:28.279> young<00:00:28.560> Superstar
caught for plagiarism a young Superstar
caught for plagiarism a young Superstar
writer<00:00:29.679> who's<00:00:30.039> book<00:00:30.519> involves<00:00:30.880> so<00:00:31.000> many<00:00:31.400> uh
writer who's book involves so many uh
writer who's book involves so many uh
madeup<00:00:31.920> quotes<00:00:32.200> that<00:00:32.320> they've<00:00:32.520> pulled<00:00:32.719> it
madeup quotes that they've pulled it
madeup quotes that they've pulled it
from<00:00:32.960> the<00:00:33.079> shelves<00:00:33.920> a<00:00:34.079> New<00:00:34.200> York<00:00:34.440> Times<00:00:34.800> expose
from the shelves a New York Times expose
from the shelves a New York Times expose
on<00:00:35.480> fake<00:00:35.800> book<00:00:36.000> reviews<00:00:36.680> it's<00:00:36.840> been<00:00:37.520> fantastic
on fake book reviews it's been fantastic
on fake book reviews it's been fantastic
now<00:00:38.960> of<00:00:39.120> course<00:00:39.360> not<00:00:39.520> all<00:00:40.239> deception<00:00:41.239> hits<00:00:41.480> the
now of course not all deception hits the
now of course not all deception hits the
news<00:00:42.800> much<00:00:42.960> of<00:00:43.079> the<00:00:43.239> deception<00:00:44.000> is<00:00:44.239> every<00:00:44.520> day
news much of the deception is every day
news much of the deception is every day
in<00:00:44.920> fact<00:00:45.120> a<00:00:45.200> lot<00:00:45.280> of<00:00:45.399> research<00:00:45.719> shows<00:00:46.079> that<00:00:46.239> we
in fact a lot of research shows that we
in fact a lot of research shows that we
all<00:00:46.559> lie<00:00:47.000> once<00:00:47.160> or<00:00:47.320> twice<00:00:47.600> a<00:00:47.760> day<00:00:48.199> as<00:00:48.399> Dave
all lie once or twice a day as Dave
all lie once or twice a day as Dave
suggested<00:00:49.960> so<00:00:50.120> it's<00:00:50.320> about<00:00:50.559> 6:30<00:00:51.199> now<00:00:51.520> suggest
suggested so it's about 6:30 now suggest
suggested so it's about 6:30 now suggest
that<00:00:52.000> most<00:00:52.160> of<00:00:52.280> us<00:00:52.399> should<00:00:52.559> have<00:00:52.680> lied<00:00:52.960> let's
that most of us should have lied let's
that most of us should have lied let's
take<00:00:53.239> a<00:00:53.320> look<00:00:53.440> at<00:00:53.559> Winnipeg<00:00:54.160> how<00:00:54.280> many<00:00:54.440> of<00:00:54.600> you
take a look at Winnipeg how many of you
take a look at Winnipeg how many of you
in<00:00:54.879> the<00:00:55.039> last<00:00:55.239> 24<00:00:55.640> hours<00:00:55.960> think<00:00:56.280> back<00:00:56.960> have
in the last 24 hours think back have
in the last 24 hours think back have
told<00:00:57.359> a<00:00:57.480> little<00:00:57.680> FIB<00:00:58.120> or<00:00:58.239> a<00:00:58.399> big<00:00:58.600> one<00:00:59.239> how<00:00:59.359> many
told a little FIB or a big one how many
told a little FIB or a big one how many
have<00:00:59.960> toal<00:01:00.199> little<00:01:00.359> lie<00:01:00.600> out<00:01:00.800> there<00:01:01.519> all<00:01:01.680> right
have toal little lie out there all right
have toal little lie out there all right
good<00:01:02.359> these<00:01:02.480> are<00:01:02.640> all<00:01:02.760> the<00:01:02.920> Liars<00:01:03.359> make<00:01:03.480> sure
good these are all the Liars make sure
good these are all the Liars make sure
you<00:01:03.879> pay<00:01:04.080> attention<00:01:04.439> to
you pay attention to
you pay attention to
them<00:01:06.680> no<00:01:06.920> that<00:01:07.000> looked<00:01:07.240> good<00:01:07.360> it<00:01:07.400> was<00:01:07.520> about
them no that looked good it was about
them no that looked good it was about
two<00:01:07.880> thirds<00:01:08.119> of<00:01:08.240> you<00:01:08.360> the<00:01:08.479> other<00:01:08.640> third<00:01:09.439> didn't
two thirds of you the other third didn't
two thirds of you the other third didn't
lie<00:01:10.360> or<00:01:10.600> perhaps<00:01:10.920> forgot<00:01:11.600> or<00:01:11.759> you're<00:01:12.000> lying<00:01:12.280> to
lie or perhaps forgot or you're lying to
lie or perhaps forgot or you're lying to
me<00:01:12.600> about<00:01:12.759> your<00:01:12.960> lying<00:01:13.439> which<00:01:13.560> is<00:01:13.880> very<00:01:14.280> very
me about your lying which is very very
me about your lying which is very very
devious<00:01:16.119> this<00:01:16.360> fits<00:01:16.799> with<00:01:17.280> um<00:01:17.560> a<00:01:17.680> lot<00:01:17.799> of<00:01:17.880> the
devious this fits with um a lot of the
devious this fits with um a lot of the
research<00:01:18.439> which<00:01:18.600> suggests<00:01:19.200> that<00:01:19.600> line<00:01:19.880> is
research which suggests that line is
research which suggests that line is
very<00:01:20.520> pervasive<00:01:21.520> it's<00:01:21.720> this<00:01:22.240> pervasiveness
very pervasive it's this pervasiveness
very pervasive it's this pervasiveness
combined<00:01:23.840> with<00:01:24.720> the<00:01:25.040> centrality<00:01:25.720> to<00:01:25.880> what<00:01:25.960> it
combined with the centrality to what it
combined with the centrality to what it
means<00:01:26.240> to<00:01:26.360> be<00:01:26.479> a<00:01:26.640> human<00:01:27.040> the<00:01:27.159> fact<00:01:27.360> that<00:01:27.479> we<00:01:27.600> can
means to be a human the fact that we can
means to be a human the fact that we can
tell<00:01:28.400> the<00:01:28.520> truth<00:01:28.720> or<00:01:28.880> make<00:01:29.079> something<00:01:29.320> up<00:01:29.920> that
tell the truth or make something up that
tell the truth or make something up that
has<00:01:30.240> fascinated<00:01:31.079> people<00:01:31.400> throughout<00:01:32.000> history
has fascinated people throughout history
has fascinated people throughout history
here<00:01:33.119> we<00:01:33.320> have<00:01:33.759> diogenes<00:01:34.399> with<00:01:34.520> his<00:01:34.680> Lantern
here we have diogenes with his Lantern
here we have diogenes with his Lantern
does<00:01:35.399> anybody<00:01:35.720> know<00:01:35.920> what<00:01:36.040> he<00:01:36.159> was<00:01:36.280> looking
does anybody know what he was looking
does anybody know what he was looking
for<00:01:38.799> a<00:01:39.000> single<00:01:39.399> honest<00:01:39.880> man<00:01:40.360> and<00:01:40.439> he<00:01:40.680> died
for a single honest man and he died
for a single honest man and he died
without<00:01:41.200> finding<00:01:41.560> one<00:01:41.920> back<00:01:42.079> in<00:01:42.280> Greece<00:01:43.240> and
without finding one back in Greece and
without finding one back in Greece and
we<00:01:43.479> have<00:01:43.640> confucious<00:01:44.240> in<00:01:44.360> the<00:01:44.560> East<00:01:45.119> who<00:01:45.240> is
we have confucious in the East who is
we have confucious in the East who is
really<00:01:45.600> concerned<00:01:46.000> with<00:01:46.200> sincerity<00:01:47.119> not<00:01:47.280> only
really concerned with sincerity not only
really concerned with sincerity not only
that<00:01:47.640> you<00:01:47.840> walked<00:01:48.280> the<00:01:48.479> walk<00:01:49.119> or<00:01:49.320> talk<00:01:49.680> the
that you walked the walk or talk the
that you walked the walk or talk the
talk<00:01:50.479> but<00:01:50.759> you<00:01:51.000> believed<00:01:51.759> in<00:01:51.920> what<00:01:52.040> you<00:01:52.159> were
talk but you believed in what you were
talk but you believed in what you were
doing<00:01:53.360> you<00:01:53.560> believed<00:01:54.000> in<00:01:54.119> your<00:01:54.680> principles
doing you believed in your principles
doing you believed in your principles
now<00:01:56.039> my<00:01:56.399> first<00:01:56.759> professional<00:01:57.280> encounter<00:01:57.680> with
now my first professional encounter with
now my first professional encounter with
deceptions<00:01:58.759> a<00:01:58.960> little<00:01:59.119> bit<00:01:59.240> later<00:01:59.479> than<00:01:59.640> these
deceptions a little bit later than these
deceptions a little bit later than these
guys<00:02:00.200> a<00:02:00.320> couple<00:02:00.600> thousand<00:02:01.000> years<00:02:01.880> I<00:02:02.000> was<00:02:02.159> a
guys a couple thousand years I was a
guys a couple thousand years I was a
customs<00:02:02.920> officer<00:02:03.240> for<00:02:03.479> Canada<00:02:04.280> back<00:02:04.439> in<00:02:04.560> the
customs officer for Canada back in the
customs officer for Canada back in the
mid90s<00:02:06.159> yeah<00:02:06.799> I<00:02:06.880> was<00:02:07.039> defending<00:02:07.479> Canada's
mid90s yeah I was defending Canada's
mid90s yeah I was defending Canada's
borders<00:02:08.440> you<00:02:08.520> may<00:02:08.759> think<00:02:09.000> that's<00:02:09.160> a<00:02:09.360> weapon
borders you may think that's a weapon
borders you may think that's a weapon
right<00:02:10.039> there<00:02:10.959> um<00:02:11.239> in<00:02:11.599> fact<00:02:12.599> uh<00:02:12.800> that's<00:02:13.440> um<00:02:13.800> a
right there um in fact uh that's um a
right there um in fact uh that's um a
stamp<00:02:14.560> I<00:02:14.680> used<00:02:15.040> a<00:02:15.239> stamp<00:02:15.599> to<00:02:15.800> defend<00:02:16.200> Canada's
stamp I used a stamp to defend Canada's
stamp I used a stamp to defend Canada's
borders<00:02:17.599> very<00:02:17.800> Canadian<00:02:18.200> of<00:02:18.599> me<00:02:19.599> I<00:02:19.680> learned<00:02:19.959> a
borders very Canadian of me I learned a
borders very Canadian of me I learned a
lot<00:02:20.239> about<00:02:20.480> deception<00:02:21.000> while<00:02:21.160> doing<00:02:21.800> uh<00:02:21.920> my
lot about deception while doing uh my
lot about deception while doing uh my
duty<00:02:22.400> here<00:02:23.040> uh<00:02:23.160> in<00:02:23.360> customs<00:02:24.040> one<00:02:24.160> of<00:02:24.360> which<00:02:24.519> was
duty here uh in customs one of which was
duty here uh in customs one of which was
that<00:02:24.800> most<00:02:24.959> of<00:02:25.080> what<00:02:25.239> I<00:02:25.319> thought<00:02:25.480> I<00:02:25.599> knew<00:02:25.800> about
that most of what I thought I knew about
that most of what I thought I knew about
deception<00:02:26.480> was<00:02:26.640> wrong<00:02:26.920> and<00:02:27.000> I'll<00:02:27.120> tell<00:02:27.239> you
deception was wrong and I'll tell you
deception was wrong and I'll tell you
about<00:02:27.519> some<00:02:27.640> of<00:02:27.760> that<00:02:27.959> tonight<00:02:28.840> but<00:02:29.040> even
about some of that tonight but even
about some of that tonight but even
since<00:02:29.560> just<00:02:29.920> 1995<00:02:30.720> 96<00:02:31.720> the<00:02:31.840> way<00:02:32.000> we
since just 1995 96 the way we
since just 1995 96 the way we
communicate<00:02:32.760> has<00:02:33.040> been<00:02:33.360> completely
communicate has been completely
communicate has been completely
transformed<00:02:34.920> we<00:02:35.080> email<00:02:35.519> we<00:02:35.720> text<00:02:36.120> we<00:02:36.319> Skype<00:02:36.720> we
transformed we email we text we Skype we
transformed we email we text we Skype we
Facebook<00:02:37.800> it's<00:02:38.120> insane<00:02:39.120> almost<00:02:39.480> every<00:02:39.800> aspect
Facebook it's insane almost every aspect
Facebook it's insane almost every aspect
of<00:02:40.239> human<00:02:40.480> communication's<00:02:41.080> been<00:02:41.239> changed
of human communication's been changed
of human communication's been changed
and<00:02:42.080> of<00:02:42.239> course<00:02:42.519> that's<00:02:42.720> had<00:02:42.840> an<00:02:43.040> impact<00:02:43.440> on
and of course that's had an impact on
and of course that's had an impact on
Deception<00:02:44.360> let<00:02:44.440> me<00:02:44.560> tell<00:02:44.720> you<00:02:44.800> a<00:02:44.879> little<00:02:45.040> bit
Deception let me tell you a little bit
Deception let me tell you a little bit
about<00:02:45.360> a<00:02:45.440> couple<00:02:45.680> of<00:02:46.120> new<00:02:46.360> deceptions<00:02:46.920> we've
about a couple of new deceptions we've
about a couple of new deceptions we've
been<00:02:47.560> uh<00:02:47.680> tracking<00:02:48.080> and<00:02:48.400> documenting<00:02:49.400> uh
been uh tracking and documenting uh
been uh tracking and documenting uh
they're<00:02:49.720> called<00:02:49.920> The
they're called The
they're called The
Butler<00:02:51.800> the<00:02:51.920> sock
Butler the sock
Butler the sock
puppet<00:02:53.800> and<00:02:53.959> the<00:02:54.080> Chinese<00:02:54.519> Water<00:02:54.760> Army<00:02:55.640> it
puppet and the Chinese Water Army it
puppet and the Chinese Water Army it
sounds<00:02:55.959> a<00:02:56.080> little<00:02:56.280> bit<00:02:56.440> like<00:02:56.560> a<00:02:56.720> weird<00:02:57.000> book
sounds a little bit like a weird book
sounds a little bit like a weird book
but<00:02:57.879> actually<00:02:58.120> they're<00:02:58.319> all<00:02:58.640> new<00:02:58.959> types<00:02:59.200> of
but actually they're all new types of
but actually they're all new types of
laes<00:02:59.840> let's<00:03:00.000> start<00:03:00.159> with<00:03:00.280> the<00:03:00.560> Butlers<00:03:01.560> here's
laes let's start with the Butlers here's
laes let's start with the Butlers here's
an<00:03:01.959> example<00:03:02.319> of<00:03:02.480> one<00:03:02.959> on<00:03:03.239> my<00:03:03.480> way<00:03:04.040> anybody<00:03:04.360> ever
an example of one on my way anybody ever
an example of one on my way anybody ever
written<00:03:04.760> on<00:03:04.920> my<00:03:05.080> way<00:03:05.959> then<00:03:06.080> you've<00:03:06.319> also
lied<00:03:09.959> we're<00:03:10.159> never<00:03:10.400> on<00:03:10.599> our<00:03:10.799> way<00:03:11.280> we're
lied we're never on our way we're
lied we're never on our way we're
thinking<00:03:11.799> about<00:03:12.040> going<00:03:12.239> on<00:03:12.400> our<00:03:12.680> way<00:03:13.680> here's
thinking about going on our way here's
thinking about going on our way here's
another<00:03:14.239> one<00:03:14.959> sorry<00:03:15.440> I<00:03:15.720> didn't<00:03:15.879> respond<00:03:16.200> to
another one sorry I didn't respond to
another one sorry I didn't respond to
you<00:03:16.360> earlier<00:03:16.680> my<00:03:16.879> battery<00:03:17.200> was<00:03:17.440> dead<00:03:17.640> your
you earlier my battery was dead your
you earlier my battery was dead your
battery<00:03:18.159> wasn't<00:03:18.480> dead<00:03:18.760> you<00:03:18.879> weren't<00:03:19.120> in<00:03:19.239> a
battery wasn't dead you weren't in a
battery wasn't dead you weren't in a
dead<00:03:19.680> zone<00:03:20.360> you<00:03:20.480> just<00:03:20.599> didn't<00:03:20.799> want<00:03:20.879> to
dead zone you just didn't want to
dead zone you just didn't want to
respond<00:03:21.360> to<00:03:21.519> that<00:03:21.680> person<00:03:22.000> that<00:03:22.200> time<00:03:22.720> here's
respond to that person that time here's
respond to that person that time here's
the<00:03:23.040> last<00:03:23.200> one<00:03:23.360> you're<00:03:23.480> talking<00:03:23.760> to<00:03:23.920> somebody
the last one you're talking to somebody
the last one you're talking to somebody
and<00:03:24.319> you<00:03:24.440> say<00:03:25.120> sorry<00:03:25.480> got<00:03:25.720> work<00:03:26.080> got<00:03:26.200> to<00:03:26.440> go<00:03:26.799> but
and you say sorry got work got to go but
and you say sorry got work got to go but
really<00:03:27.200> you're<00:03:27.400> just<00:03:27.560> bored<00:03:27.879> you<00:03:27.959> want<00:03:28.080> to
really you're just bored you want to
really you're just bored you want to
talk<00:03:28.360> to<00:03:28.519> somebody<00:03:28.840> else
talk to somebody else
talk to somebody else
each<00:03:30.480> of<00:03:30.680> these<00:03:31.000> is<00:03:31.159> about<00:03:31.360> a
each of these is about a
each of these is about a
relationship<00:03:33.080> and<00:03:33.480> this<00:03:33.599> is<00:03:33.720> a
relationship and this is a
relationship and this is a
24/7<00:03:35.439> connected<00:03:35.879> World<00:03:36.159> once<00:03:36.280> you<00:03:36.439> get<00:03:36.599> my
24/7 connected World once you get my
24/7 connected World once you get my
cell<00:03:36.959> phone<00:03:37.159> number<00:03:37.360> you<00:03:37.439> can<00:03:37.599> literally<00:03:37.920> be
cell phone number you can literally be
cell phone number you can literally be
in<00:03:38.120> touch<00:03:38.280> with<00:03:38.400> me<00:03:38.560> 24<00:03:39.000> hours<00:03:39.599> a<00:03:39.799> day<00:03:40.519> and<00:03:40.640> so
in touch with me 24 hours a day and so
in touch with me 24 hours a day and so
these<00:03:41.080> lies<00:03:41.560> are<00:03:41.720> being<00:03:41.920> used<00:03:42.239> by<00:03:42.439> people<00:03:42.720> to
these lies are being used by people to
these lies are being used by people to
create<00:03:43.080> a<00:03:43.239> buffer<00:03:44.000> like<00:03:44.120> the<00:03:44.239> butler<00:03:44.640> used<00:03:44.879> to
create a buffer like the butler used to
create a buffer like the butler used to
do<00:03:45.840> between<00:03:46.519> us<00:03:46.840> and<00:03:47.040> the<00:03:47.480> connections<00:03:47.879> to
do between us and the connections to
do between us and the connections to
everybody<00:03:48.439> else<00:03:48.720> but<00:03:48.840> they're<00:03:49.040> very<00:03:49.280> special
everybody else but they're very special
everybody else but they're very special
they<00:03:49.760> use<00:03:50.040> ambiguity<00:03:50.640> that<00:03:50.799> comes<00:03:51.000> from<00:03:51.159> using
they use ambiguity that comes from using
they use ambiguity that comes from using
technology<00:03:52.360> you<00:03:52.480> don't<00:03:52.599> know<00:03:52.799> where<00:03:52.959> I<00:03:53.079> am<00:03:53.280> or
technology you don't know where I am or
technology you don't know where I am or
what<00:03:53.519> I'm<00:03:53.720> doing<00:03:53.920> or<00:03:54.079> who<00:03:54.239> I'm<00:03:54.480> with<00:03:55.480> and
what I'm doing or who I'm with and
what I'm doing or who I'm with and
they're<00:03:55.840> aimed<00:03:56.280> at<00:03:56.560> protecting<00:03:57.040> the
they're aimed at protecting the
they're aimed at protecting the
relationships<00:03:57.920> these<00:03:58.040> aren't<00:03:58.280> just<00:03:58.400> people
relationships these aren't just people
relationships these aren't just people
being<00:03:58.920> jerks<00:03:59.879> these<00:04:00.000> are<00:04:00.280> people<00:04:00.959> that<00:04:01.040> are
being jerks these are people that are
being jerks these are people that are
saying<00:04:01.519> look<00:04:01.720> I<00:04:01.799> don't<00:04:01.920> want<00:04:02.040> to<00:04:02.239> talk<00:04:02.439> to<00:04:02.519> you
saying look I don't want to talk to you
saying look I don't want to talk to you
now<00:04:02.879> or<00:04:03.000> I<00:04:03.079> didn't<00:04:03.239> want<00:04:03.360> to<00:04:03.519> talk<00:04:03.640> to<00:04:03.760> you<00:04:03.920> then
now or I didn't want to talk to you then
now or I didn't want to talk to you then
but<00:04:04.400> I<00:04:04.519> still<00:04:04.760> care<00:04:05.000> about<00:04:05.200> you<00:04:05.360> our
but I still care about you our
but I still care about you our
relationship<00:04:06.200> is<00:04:06.360> still<00:04:06.799> important<00:04:07.799> now<00:04:07.920> the
relationship is still important now the
relationship is still important now the
sock<00:04:08.439> puppet<00:04:08.920> on<00:04:09.000> the<00:04:09.120> other<00:04:09.280> hand<00:04:09.400> is<00:04:09.519> a
sock puppet on the other hand is a
sock puppet on the other hand is a
totally<00:04:09.920> different<00:04:10.239> animal<00:04:10.959> the<00:04:11.079> sock<00:04:11.360> puppet
totally different animal the sock puppet
totally different animal the sock puppet
isn't<00:04:11.879> about<00:04:12.200> ambiguity<00:04:12.879> per<00:04:13.040> se<00:04:13.799> it's<00:04:14.000> about
isn't about ambiguity per se it's about
isn't about ambiguity per se it's about
identity<00:04:15.040> let<00:04:15.159> me<00:04:15.319> give<00:04:15.439> you<00:04:15.640> a<00:04:15.840> very<00:04:16.079> recent
identity let me give you a very recent
identity let me give you a very recent
example<00:04:16.880> as<00:04:17.000> in<00:04:17.280> like<00:04:17.639> last<00:04:17.919> week<00:04:18.680> here's<00:04:18.959> RJ
example as in like last week here's RJ
example as in like last week here's RJ
Ellery<00:04:19.840> bestseller<00:04:20.320> author<00:04:20.680> in<00:04:20.919> in<00:04:21.079> Britain
Ellery bestseller author in in Britain
Ellery bestseller author in in Britain
uh<00:04:22.000> here's<00:04:22.199> one<00:04:22.320> of<00:04:22.440> his<00:04:22.639> best-selling<00:04:23.160> books
uh here's one of his best-selling books
uh here's one of his best-selling books
here's<00:04:24.080> a<00:04:24.320> reviewer<00:04:24.880> online<00:04:25.880> on<00:04:26.199> Amazon<00:04:27.199> um<00:04:27.440> my
here's a reviewer online on Amazon um my
here's a reviewer online on Amazon um my
favorite<00:04:28.040> by<00:04:28.240> Nicodemus<00:04:28.759> Jones<00:04:29.039> is<00:04:29.360> what<00:04:30.000> ever
favorite by Nicodemus Jones is what ever
favorite by Nicodemus Jones is what ever
else<00:04:30.440> it<00:04:30.600> might<00:04:30.800> do<00:04:31.720> it<00:04:31.840> will<00:04:32.039> touch<00:04:32.280> your<00:04:32.479> soul
else it might do it will touch your soul
else it might do it will touch your soul
and<00:04:33.560> of<00:04:33.680> course<00:04:33.960> you<00:04:34.120> might<00:04:34.360> suspect<00:04:35.199> that
and of course you might suspect that
and of course you might suspect that
Nicodemus<00:04:35.880> Jones<00:04:36.320> is<00:04:36.520> RJ<00:04:36.960> Ellery<00:04:37.960> he<00:04:38.080> wrote
Nicodemus Jones is RJ Ellery he wrote
Nicodemus Jones is RJ Ellery he wrote
very<00:04:38.800> very<00:04:39.280> positive<00:04:39.680> reviews<00:04:40.039> about<00:04:40.199> himself
very very positive reviews about himself
very very positive reviews about himself
surprise
surprise
surprise
surprise<00:04:42.560> now<00:04:42.759> this<00:04:43.039> P<00:04:43.680> sock<00:04:43.960> puppet<00:04:44.280> stuff
surprise now this P sock puppet stuff
surprise now this P sock puppet stuff
isn't<00:04:44.759> actually<00:04:44.960> that<00:04:45.080> new<00:04:45.360> Walt<00:04:45.600> Whitman<00:04:46.520> um
isn't actually that new Walt Whitman um
isn't actually that new Walt Whitman um
also<00:04:47.440> did<00:04:47.680> this<00:04:47.880> back<00:04:48.039> in<00:04:48.160> the<00:04:48.280> day<00:04:48.520> before
also did this back in the day before
also did this back in the day before
there<00:04:48.919> was<00:04:49.160> internet<00:04:49.800> technology<00:04:50.800> sock
there was internet technology sock
there was internet technology sock
puppet<00:04:51.680> becomes<00:04:52.199> interesting<00:04:52.919> when<00:04:53.080> we<00:04:53.240> get
puppet becomes interesting when we get
puppet becomes interesting when we get
to<00:04:53.600> scale<00:04:54.360> which<00:04:54.479> is<00:04:54.600> the<00:04:54.759> domain<00:04:55.080> of<00:04:55.199> the
to scale which is the domain of the
to scale which is the domain of the
Chinese<00:04:56.080> Water<00:04:56.360> Army<00:04:56.919> Chinese<00:04:57.360> Water<00:04:57.560> Army
Chinese Water Army Chinese Water Army
Chinese Water Army Chinese Water Army
refers<00:04:58.320> to<00:04:58.720> thousands<00:04:59.120> of<00:04:59.240> people<00:04:59.400> in<00:04:59.600> in
refers to thousands of people in in
refers to thousands of people in in
China<00:05:00.680> that<00:05:00.800> are<00:05:00.960> paid<00:05:01.199> small<00:05:01.440> amounts<00:05:01.680> of
China that are paid small amounts of
China that are paid small amounts of
money<00:05:02.280> to<00:05:02.479> produce<00:05:02.880> content<00:05:03.639> it<00:05:03.759> could<00:05:03.919> be
money to produce content it could be
money to produce content it could be
reviews<00:05:04.880> it<00:05:05.000> could<00:05:05.199> be<00:05:05.560> propaganda<00:05:06.479> the
reviews it could be propaganda the
reviews it could be propaganda the
government<00:05:07.000> hires<00:05:07.360> these<00:05:07.639> people<00:05:08.240> companies
government hires these people companies
government hires these people companies
hire<00:05:09.000> them<00:05:09.479> all<00:05:09.639> over<00:05:09.840> the<00:05:10.000> place<00:05:10.520> in<00:05:11.400> um<00:05:11.680> North
hire them all over the place in um North
hire them all over the place in um North
America<00:05:12.479> we<00:05:12.600> call<00:05:12.800> this<00:05:13.280> astroturfing<00:05:14.280> and
America we call this astroturfing and
America we call this astroturfing and
astroturfing<00:05:15.080> is<00:05:15.240> very<00:05:15.520> common<00:05:15.840> now<00:05:16.000> there's
astroturfing is very common now there's
astroturfing is very common now there's
a<00:05:16.240> lot<00:05:16.360> of<00:05:16.479> concerns<00:05:17.000> about<00:05:17.199> it<00:05:17.639> we<00:05:17.720> see<00:05:17.960> this
a lot of concerns about it we see this
a lot of concerns about it we see this
especially<00:05:18.720> with<00:05:18.960> product<00:05:19.280> reviews<00:05:19.800> book
especially with product reviews book
especially with product reviews book
reviews<00:05:20.919> everything<00:05:21.280> from<00:05:21.560> hotels<00:05:22.440> to
reviews everything from hotels to
reviews everything from hotels to
whether<00:05:23.240> that<00:05:23.520> toaster<00:05:23.840> is<00:05:23.960> a<00:05:24.080> good<00:05:24.240> toaster
whether that toaster is a good toaster
whether that toaster is a good toaster
or<00:05:25.120> not<00:05:26.120> now<00:05:26.639> looking<00:05:26.880> at<00:05:27.080> these<00:05:27.280> three
or not now looking at these three
or not now looking at these three
reviews<00:05:28.280> or<00:05:28.520> these<00:05:28.680> three<00:05:28.840> types<00:05:29.039> of<00:05:29.199> De<00:05:29.759> you
reviews or these three types of De you
reviews or these three types of De you
might<00:05:30.000> think<00:05:30.440> the<00:05:30.560> internet<00:05:30.919> is<00:05:31.160> really
might think the internet is really
might think the internet is really
making<00:05:31.800> us<00:05:32.440> a<00:05:32.600> deceptive
making us a deceptive
making us a deceptive
species<00:05:34.720> especially<00:05:35.080> when<00:05:35.160> you<00:05:35.319> think<00:05:35.520> about
species especially when you think about
species especially when you think about
the<00:05:36.280> astroturfing<00:05:36.960> where<00:05:37.039> we<00:05:37.120> can<00:05:37.199> see
the astroturfing where we can see
the astroturfing where we can see
deception<00:05:38.440> brought<00:05:38.720> up<00:05:38.880> to<00:05:39.560> scale<00:05:40.560> but
deception brought up to scale but
deception brought up to scale but
actually<00:05:41.639> what<00:05:41.759> I've<00:05:41.919> been<00:05:42.120> finding<00:05:43.000> is<00:05:43.280> very
actually what I've been finding is very
actually what I've been finding is very
different<00:05:43.840> from<00:05:44.080> that<00:05:44.800> now<00:05:45.000> let's<00:05:45.199> put<00:05:45.440> aside
different from that now let's put aside
different from that now let's put aside
the<00:05:46.199> online<00:05:46.880> anonymous<00:05:47.400> sex<00:05:47.800> chat<00:05:48.039> rooms
the online anonymous sex chat rooms
the online anonymous sex chat rooms
which<00:05:48.560> I'm<00:05:48.639> sure<00:05:48.880> none<00:05:49.039> of<00:05:49.160> you<00:05:49.319> have<00:05:49.440> been<00:05:49.680> in
which I'm sure none of you have been in
which I'm sure none of you have been in
I<00:05:50.360> can<00:05:50.520> assure<00:05:50.800> you<00:05:50.919> there's<00:05:51.199> deception<00:05:51.720> there
I can assure you there's deception there
I can assure you there's deception there
and<00:05:52.479> let's<00:05:52.680> put<00:05:52.919> aside<00:05:53.600> the<00:05:53.759> Nigerian<00:05:54.280> prince
and let's put aside the Nigerian prince
and let's put aside the Nigerian prince
who's<00:05:54.720> emailed<00:05:55.080> you<00:05:55.280> about<00:05:55.520> getting<00:05:55.880> the<00:05:56.039> 43
who's emailed you about getting the 43
who's emailed you about getting the 43
million<00:05:56.880> out<00:05:56.960> of<00:05:57.120> the<00:05:57.280> country<00:05:58.280> let's<00:05:58.479> forget
million out of the country let's forget
million out of the country let's forget
about<00:05:59.039> that<00:05:59.160> guy<00:05:59.520> to<00:06:00.400> let's<00:06:00.680> focus<00:06:00.960> on<00:06:01.120> the
about that guy to let's focus on the
about that guy to let's focus on the
conversations<00:06:01.960> between<00:06:02.280> our<00:06:02.479> friends<00:06:02.840> and
conversations between our friends and
conversations between our friends and
our<00:06:03.199> family<00:06:03.520> and<00:06:03.680> our<00:06:03.919> co-workers<00:06:04.520> and<00:06:04.639> our
our family and our co-workers and our
our family and our co-workers and our
loved<00:06:05.039> ones<00:06:05.400> those<00:06:05.520> are<00:06:05.680> the<00:06:05.800> conversations
loved ones those are the conversations
loved ones those are the conversations
that<00:06:06.520> really<00:06:06.759> matter<00:06:07.520> what<00:06:07.680> does<00:06:07.960> technology
that really matter what does technology
that really matter what does technology
do<00:06:09.160> to<00:06:09.400> deception<00:06:10.280> with<00:06:10.520> those<00:06:11.160> folks<00:06:12.160> here's
do to deception with those folks here's
do to deception with those folks here's
a<00:06:12.479> couple<00:06:12.680> of<00:06:12.840> studies<00:06:13.479> one<00:06:13.599> of<00:06:13.840> things<00:06:14.160> one<00:06:14.280> of
a couple of studies one of things one of
a couple of studies one of things one of
the<00:06:14.440> studies<00:06:14.680> we<00:06:14.800> do<00:06:14.919> are<00:06:15.039> called<00:06:15.240> diary
the studies we do are called diary
the studies we do are called diary
studies<00:06:16.400> in<00:06:16.599> which<00:06:16.840> we<00:06:17.479> uh<00:06:17.639> ask<00:06:17.840> people<00:06:18.039> to
studies in which we uh ask people to
studies in which we uh ask people to
record<00:06:18.520> all<00:06:18.639> of<00:06:18.800> their<00:06:19.000> conversations<00:06:19.599> and
record all of their conversations and
record all of their conversations and
all<00:06:20.000> their<00:06:20.160> lies<00:06:20.720> for<00:06:20.960> seven<00:06:21.319> days<00:06:22.319> and<00:06:22.440> what
all their lies for seven days and what
all their lies for seven days and what
we<00:06:22.639> can<00:06:22.720> do<00:06:22.880> then<00:06:23.039> is<00:06:23.199> calculate<00:06:23.680> how<00:06:23.840> many
we can do then is calculate how many
we can do then is calculate how many
lies<00:06:24.520> took<00:06:24.800> place<00:06:25.080> per<00:06:25.319> conversation<00:06:26.240> within
lies took place per conversation within
lies took place per conversation within
a<00:06:26.599> medium<00:06:27.520> and<00:06:27.639> the<00:06:27.759> finding<00:06:28.080> that<00:06:28.199> we<00:06:28.319> get
a medium and the finding that we get
a medium and the finding that we get
that<00:06:28.599> surprises<00:06:29.039> people<00:06:29.240> the<00:06:29.520> most<00:06:29.720> is<00:06:29.880> that
that surprises people the most is that
that surprises people the most is that
email<00:06:30.639> is<00:06:30.800> the<00:06:30.960> most<00:06:31.240> honest<00:06:31.960> of<00:06:32.160> those<00:06:32.360> three
email is the most honest of those three
email is the most honest of those three
media<00:06:33.639> and<00:06:33.759> it<00:06:33.960> really<00:06:34.440> throws<00:06:34.800> people<00:06:34.960> for<00:06:35.120> a
media and it really throws people for a
media and it really throws people for a
loop<00:06:35.599> because<00:06:35.759> we<00:06:35.919> think<00:06:36.199> well<00:06:36.680> there's<00:06:36.880> no
loop because we think well there's no
loop because we think well there's no
non-verbal<00:06:37.520> cues<00:06:37.960> so<00:06:38.240> why<00:06:38.360> don't<00:06:38.560> you<00:06:38.720> lie
non-verbal cues so why don't you lie
non-verbal cues so why don't you lie
more<00:06:40.319> the<00:06:40.960> phone<00:06:41.960> in<00:06:42.240> contrast<00:06:43.120> the<00:06:43.240> most<00:06:43.520> lies
more the phone in contrast the most lies
more the phone in contrast the most lies
again<00:06:44.120> and<00:06:44.319> again<00:06:44.479> and<00:06:44.639> again<00:06:44.800> we<00:06:44.880> see<00:06:45.080> the
again and again and again we see the
again and again and again we see the
phone<00:06:45.520> is<00:06:45.639> the<00:06:45.800> device<00:06:46.080> that<00:06:46.199> people<00:06:46.400> lie<00:06:46.639> on
phone is the device that people lie on
phone is the device that people lie on
the<00:06:46.919> most<00:06:47.199> and<00:06:47.400> perhaps<00:06:47.800> because<00:06:48.000> of<00:06:48.120> the
the most and perhaps because of the
the most and perhaps because of the
butler<00:06:48.560> lie<00:06:49.120> ambiguities<00:06:49.680> I<00:06:49.800> was<00:06:49.919> telling<00:06:50.120> you
butler lie ambiguities I was telling you
butler lie ambiguities I was telling you
about<00:06:51.240> this<00:06:51.800> tends<00:06:52.080> to<00:06:52.240> be<00:06:52.520> very<00:06:52.800> different
about this tends to be very different
about this tends to be very different
from<00:06:53.199> what<00:06:53.319> people<00:06:54.080> expect<00:06:55.080> what<00:06:55.280> about
from what people expect what about
from what people expect what about
resumés<00:06:56.759> we<00:06:56.879> did<00:06:57.039> a<00:06:57.199> study<00:06:57.520> in<00:06:57.680> which<00:06:57.879> we<00:06:58.160> had
resumés we did a study in which we had
resumés we did a study in which we had
people<00:06:58.680> apply<00:06:58.919> for<00:06:59.080> a<00:06:59.199> job<00:06:59.520> and<00:06:59.599> they<00:06:59.680> could
people apply for a job and they could
people apply for a job and they could
apply<00:07:00.039> for<00:07:00.199> a<00:07:00.360> job<00:07:00.639> either<00:07:00.840> with<00:07:00.960> a
apply for a job either with a
apply for a job either with a
traditional<00:07:01.800> paper<00:07:02.160> resume<00:07:03.000> or<00:07:03.160> on<00:07:03.759> LinkedIn
traditional paper resume or on LinkedIn
traditional paper resume or on LinkedIn
which<00:07:04.960> is<00:07:05.199> a<00:07:05.360> social<00:07:05.639> networking<00:07:06.039> site<00:07:06.319> like
which is a social networking site like
which is a social networking site like
Facebook<00:07:07.000> but<00:07:07.120> for<00:07:07.440> professionals<00:07:08.160> involves
Facebook but for professionals involves
Facebook but for professionals involves
the<00:07:08.639> same<00:07:08.840> information<00:07:09.240> as<00:07:09.360> a<00:07:09.520> resume<00:07:10.440> and
the same information as a resume and
the same information as a resume and
what<00:07:10.720> we<00:07:10.919> found<00:07:11.599> to<00:07:11.800> many<00:07:12.000> people's<00:07:12.400> surprise
what we found to many people's surprise
what we found to many people's surprise
was<00:07:13.440> that<00:07:13.639> those<00:07:13.800> LinkedIn<00:07:14.479> resumés<00:07:14.960> were
was that those LinkedIn resumés were
was that those LinkedIn resumés were
more<00:07:15.479> honest<00:07:15.800> on<00:07:15.960> the<00:07:16.120> things<00:07:16.280> that<00:07:16.440> mattered
more honest on the things that mattered
more honest on the things that mattered
to<00:07:16.919> employers<00:07:17.400> like<00:07:17.520> your<00:07:17.759> responsibilities
to employers like your responsibilities
to employers like your responsibilities
or<00:07:18.800> your<00:07:18.960> skills<00:07:19.440> your<00:07:19.639> previous
or your skills your previous
or your skills your previous
job<00:07:21.720> how<00:07:21.840> about<00:07:22.240> Facebook<00:07:22.879> itself<00:07:23.879> you<00:07:24.000> know
job how about Facebook itself you know
job how about Facebook itself you know
we<00:07:24.360> always<00:07:24.639> think<00:07:24.879> that<00:07:25.160> hey<00:07:25.360> there<00:07:25.479> are<00:07:25.639> these
we always think that hey there are these
we always think that hey there are these
idealized<00:07:26.479> versions<00:07:26.879> people<00:07:27.039> are<00:07:27.160> just
idealized versions people are just
idealized versions people are just
showing<00:07:27.599> the<00:07:27.800> best<00:07:28.039> things<00:07:28.240> that<00:07:28.400> happen<00:07:28.639> in
showing the best things that happen in
showing the best things that happen in
their<00:07:28.919> lives<00:07:29.599> I<00:07:29.720> thought<00:07:29.960> that<00:07:30.120> many<00:07:30.400> times<00:07:30.680> my
their lives I thought that many times my
their lives I thought that many times my
friends<00:07:31.120> no<00:07:31.280> way<00:07:31.440> they<00:07:31.560> can<00:07:31.680> be<00:07:31.879> that<00:07:32.039> cool<00:07:32.280> and
friends no way they can be that cool and
friends no way they can be that cool and
have<00:07:32.599> that<00:07:32.720> good<00:07:32.879> of<00:07:32.960> a<00:07:33.160> life<00:07:34.160> well<00:07:34.599> one<00:07:34.800> study
have that good of a life well one study
have that good of a life well one study
tested<00:07:35.479> this<00:07:35.720> by<00:07:36.120> examining<00:07:36.599> people's
tested this by examining people's
tested this by examining people's
personalities<00:07:37.720> they<00:07:37.879> had<00:07:38.280> four<00:07:38.599> good<00:07:38.800> friends
personalities they had four good friends
personalities they had four good friends
of<00:07:39.199> a<00:07:39.520> person<00:07:40.520> judge<00:07:40.879> their<00:07:41.080> personality<00:07:41.680> then
of a person judge their personality then
of a person judge their personality then
they<00:07:41.919> had<00:07:42.120> strangers<00:07:42.759> many<00:07:43.000> strangers<00:07:43.720> judge
they had strangers many strangers judge
they had strangers many strangers judge
the<00:07:44.159> person's<00:07:44.560> personality<00:07:45.440> just<00:07:45.639> from
the person's personality just from
the person's personality just from
Facebook<00:07:46.400> and<00:07:46.520> what<00:07:46.639> they<00:07:46.800> found<00:07:47.120> was<00:07:47.560> those
Facebook and what they found was those
Facebook and what they found was those
judgments<00:07:48.080> of<00:07:48.280> Personality<00:07:48.840> were<00:07:49.039> pretty
judgments of Personality were pretty
judgments of Personality were pretty
much<00:07:49.479> identical<00:07:50.080> highly<00:07:50.400> correlated<00:07:51.080> meaning
much identical highly correlated meaning
much identical highly correlated meaning
that<00:07:51.560> Facebook<00:07:52.000> profiles<00:07:52.440> really<00:07:52.680> do<00:07:53.000> reflect
that Facebook profiles really do reflect
that Facebook profiles really do reflect
our<00:07:54.120> actual
our actual
our actual
personality<00:07:56.080> all<00:07:56.240> right<00:07:56.520> well<00:07:56.800> what<00:07:56.919> about
personality all right well what about
personality all right well what about
online<00:07:57.520> dating<00:07:58.080> I<00:07:58.159> mean<00:07:58.599> that's<00:07:58.759> a<00:07:58.879> pretty<00:07:59.080> dis
online dating I mean that's a pretty dis
online dating I mean that's a pretty dis
SE<00:07:59.479> to<00:07:59.639> space<00:07:59.960> I'm<00:08:00.120> sure<00:08:00.280> you<00:08:00.400> all<00:08:00.599> have
SE to space I'm sure you all have
SE to space I'm sure you all have
friends<00:08:01.280> that<00:08:01.400> have<00:08:01.560> used<00:08:01.840> online<00:08:02.360> dating<00:08:03.360> and
friends that have used online dating and
friends that have used online dating and
they<00:08:03.639> would<00:08:03.800> tell<00:08:03.960> you<00:08:04.120> about<00:08:04.360> that<00:08:04.560> guy<00:08:04.720> that
they would tell you about that guy that
they would tell you about that guy that
had<00:08:05.039> no<00:08:05.280> hair<00:08:05.479> when<00:08:05.639> he<00:08:05.840> came<00:08:06.240> or<00:08:06.479> the<00:08:06.599> woman
had no hair when he came or the woman
had no hair when he came or the woman
that<00:08:06.919> didn't<00:08:07.120> look<00:08:07.280> at<00:08:07.400> all<00:08:07.560> like<00:08:07.720> her<00:08:08.080> photo
that didn't look at all like her photo
that didn't look at all like her photo
well<00:08:09.240> we<00:08:09.319> were<00:08:09.560> really<00:08:09.800> interested<00:08:10.159> in<00:08:10.280> it<00:08:10.720> and
well we were really interested in it and
well we were really interested in it and
so<00:08:11.000> what<00:08:11.120> we<00:08:11.280> did<00:08:11.479> is<00:08:11.639> we<00:08:11.840> brought<00:08:12.159> people
so what we did is we brought people
so what we did is we brought people
online<00:08:12.840> daters<00:08:13.240> into<00:08:13.440> the<00:08:13.639> lab<00:08:14.479> and<00:08:14.599> then<00:08:14.720> we
online daters into the lab and then we
online daters into the lab and then we
measured<00:08:15.199> them<00:08:15.440> we<00:08:15.560> got<00:08:15.759> their<00:08:15.960> height<00:08:16.199> up
measured them we got their height up
measured them we got their height up
against<00:08:16.680> the<00:08:16.800> wall<00:08:17.759> we<00:08:17.919> put<00:08:18.080> them<00:08:18.199> on<00:08:18.280> a<00:08:18.520> scale
against the wall we put them on a scale
against the wall we put them on a scale
got<00:08:19.159> their<00:08:19.319> weight<00:08:19.879> ladies<00:08:20.240> love<00:08:20.599> that<00:08:21.319> and
got their weight ladies love that and
got their weight ladies love that and
then<00:08:21.599> we<00:08:21.800> actually<00:08:22.039> got<00:08:22.240> their<00:08:22.440> driver's
then we actually got their driver's
then we actually got their driver's
license<00:08:23.280> to<00:08:23.440> get<00:08:23.560> their<00:08:23.919> age<00:08:24.919> and<00:08:25.120> what<00:08:25.240> we
license to get their age and what we
license to get their age and what we
found<00:08:25.879> was<00:08:26.240> very<00:08:26.879> very
found was very very
found was very very
interesting<00:08:28.879> here's<00:08:29.080> a<00:08:29.280> an<00:08:29.400> example<00:08:29.720> of<00:08:29.840> the
interesting here's a an example of the
interesting here's a an example of the
men<00:08:30.560> and<00:08:30.759> the<00:08:31.039> height<00:08:32.039> along<00:08:32.279> the<00:08:32.440> bottom<00:08:32.719> is
men and the height along the bottom is
men and the height along the bottom is
how<00:08:33.000> tall<00:08:33.200> they<00:08:33.320> said<00:08:33.440> they<00:08:33.519> were<00:08:33.680> in<00:08:33.760> their
how tall they said they were in their
how tall they said they were in their
profile<00:08:34.760> along<00:08:35.080> the<00:08:35.320> y<00:08:35.519> axis<00:08:35.880> the<00:08:36.039> up<00:08:36.279> vertical
profile along the y axis the up vertical
profile along the y axis the up vertical
axis<00:08:37.080> is<00:08:37.479> how<00:08:37.640> tall<00:08:37.959> they<00:08:38.399> actually<00:08:38.680> were<00:08:39.640> that
axis is how tall they actually were that
axis is how tall they actually were that
diagonal<00:08:40.599> line<00:08:40.800> is<00:08:40.959> the<00:08:41.080> truth<00:08:41.360> line<00:08:41.560> if<00:08:41.680> there
diagonal line is the truth line if there
diagonal line is the truth line if there
dots<00:08:42.159> on<00:08:42.279> it<00:08:42.440> they<00:08:42.519> were<00:08:42.680> telling<00:08:43.039> exactly<00:08:43.440> the
dots on it they were telling exactly the
dots on it they were telling exactly the
truth<00:08:43.959> and<00:08:44.080> as<00:08:44.159> you<00:08:44.240> see<00:08:44.480> most<00:08:44.600> of<00:08:44.720> the<00:08:44.839> little
truth and as you see most of the little
truth and as you see most of the little
dots<00:08:45.839> are<00:08:46.080> below<00:08:46.360> the<00:08:46.560> line<00:08:47.519> what<00:08:47.600> it<00:08:47.720> means<00:08:47.920> is
dots are below the line what it means is
dots are below the line what it means is
all<00:08:48.200> the<00:08:48.320> guys<00:08:48.519> were<00:08:48.760> lying<00:08:49.040> about<00:08:49.240> their
all the guys were lying about their
all the guys were lying about their
height<00:08:49.920> in<00:08:50.040> fact<00:08:50.200> they<00:08:50.360> lied<00:08:50.600> about<00:08:50.760> their
height in fact they lied about their
height in fact they lied about their
height<00:08:51.120> about<00:08:51.360> 9/10<00:08:52.000> of<00:08:52.120> an<00:08:52.279> inch<00:08:53.120> what<00:08:53.279> we<00:08:53.399> say
height about 9/10 of an inch what we say
height about 9/10 of an inch what we say
in<00:08:53.680> the<00:08:53.839> lab<00:08:54.120> as<00:08:54.600> strong<00:08:54.839> rounding
up<00:08:59.240> you<00:08:59.399> get<00:08:59.519> to<00:08:59.720> 5/8<00:09:00.279> and<00:09:00.440> 1110th<00:09:00.959> and<00:09:01.120> boom
up you get to 5/8 and 1110th and boom
up you get to 5/8 and 1110th and boom
5'9<00:09:03.640> but<00:09:03.760> what's<00:09:03.959> really<00:09:04.200> important<00:09:04.519> here<00:09:04.640> is
5'9 but what's really important here is
5'9 but what's really important here is
look<00:09:04.839> at<00:09:04.959> all<00:09:05.079> those<00:09:05.240> dots<00:09:05.600> they<00:09:05.680> are
look at all those dots they are
look at all those dots they are
clustering<00:09:06.399> pretty<00:09:06.600> close<00:09:06.760> to<00:09:06.959> truth<00:09:07.320> what<00:09:07.399> we
clustering pretty close to truth what we
clustering pretty close to truth what we
found<00:09:08.240> was<00:09:08.440> 80%<00:09:08.920> of<00:09:09.040> our<00:09:09.200> participants<00:09:09.760> did
found was 80% of our participants did
found was 80% of our participants did
indeed<00:09:10.240> lie<00:09:10.519> on<00:09:10.720> one<00:09:10.839> of<00:09:11.040> those<00:09:11.360> Dimensions
indeed lie on one of those Dimensions
indeed lie on one of those Dimensions
but<00:09:12.519> they<00:09:12.640> always<00:09:12.839> lied<00:09:13.120> by<00:09:13.279> a<00:09:13.360> little<00:09:13.560> bit<00:09:14.240> one
but they always lied by a little bit one
but they always lied by a little bit one
of<00:09:14.440> the<00:09:14.560> reasons<00:09:14.920> is<00:09:15.320> pretty<00:09:15.640> simple<00:09:15.959> if<00:09:16.040> you
of the reasons is pretty simple if you
of the reasons is pretty simple if you
go<00:09:16.360> to<00:09:16.959> a<00:09:17.200> date<00:09:17.959> a<00:09:18.160> coffee<00:09:18.560> date<00:09:19.040> and<00:09:19.120> you're
go to a date a coffee date and you're
go to a date a coffee date and you're
completely<00:09:19.839> different<00:09:20.120> than<00:09:20.279> what<00:09:20.399> you<00:09:20.600> said
completely different than what you said
completely different than what you said
game<00:09:21.839> over<00:09:22.839> right<00:09:22.959> so<00:09:23.200> people<00:09:23.440> lied
game over right so people lied
game over right so people lied
frequently<00:09:24.240> but<00:09:24.360> they<00:09:24.519> lied<00:09:24.839> subtly<00:09:25.440> not<00:09:25.640> too
frequently but they lied subtly not too
frequently but they lied subtly not too
much<00:09:26.040> they<00:09:26.160> were
much they were
much they were
constrained<00:09:28.200> well<00:09:28.440> what<00:09:28.600> explains<00:09:29.360> all<00:09:29.480> these
constrained well what explains all these
constrained well what explains all these
studies<00:09:29.959> what<00:09:30.120> explains<00:09:30.640> the<00:09:31.079> fact<00:09:32.079> that
studies what explains the fact that
studies what explains the fact that
despite<00:09:32.800> our<00:09:33.040> intuitions<00:09:33.839> mine
despite our intuitions mine
despite our intuitions mine
included<00:09:35.760> a<00:09:35.920> lot<00:09:36.079> of<00:09:36.399> online<00:09:37.120> communication
included a lot of online communication
included a lot of online communication
technologically<00:09:38.800> mediated<00:09:39.320> communication
technologically mediated communication
technologically mediated communication
is<00:09:40.480> more<00:09:40.920> honest<00:09:41.920> than<00:09:42.160> face<00:09:42.399> Toof<00:09:42.600> face<00:09:42.920> that
is more honest than face Toof face that
is more honest than face Toof face that
really<00:09:43.519> is<00:09:43.680> strange<00:09:44.079> how<00:09:44.200> do<00:09:44.360> we<00:09:44.600> explain<00:09:44.959> this
really is strange how do we explain this
really is strange how do we explain this
well<00:09:45.760> to<00:09:45.880> do<00:09:46.040> that<00:09:46.240> one<00:09:46.560> thing<00:09:46.760> is<00:09:46.959> we<00:09:47.079> can<00:09:47.200> look
well to do that one thing is we can look
well to do that one thing is we can look
at<00:09:47.440> the<00:09:47.560> deception<00:09:48.000> detection<00:09:48.680> literature
at the deception detection literature
at the deception detection literature
it's<00:09:49.800> a<00:09:49.959> very<00:09:50.120> old<00:09:50.320> literature<00:09:50.760> by<00:09:50.920> now<00:09:51.120> it's
it's a very old literature by now it's
it's a very old literature by now it's
it's<00:09:51.519> coming<00:09:51.760> up<00:09:51.880> on<00:09:52.120> 50<00:09:52.480> years<00:09:53.160> it's<00:09:53.320> been
it's coming up on 50 years it's been
it's coming up on 50 years it's been
reviewed<00:09:54.000> many<00:09:54.279> times<00:09:54.560> there's<00:09:54.720> been
reviewed many times there's been
reviewed many times there's been
thousands<00:09:55.320> of<00:09:55.480> Trials<00:09:55.880> hundreds<00:09:56.200> of<00:09:56.399> studies
thousands of Trials hundreds of studies
thousands of Trials hundreds of studies
and<00:09:57.720> there's<00:09:57.920> some<00:09:58.120> really<00:09:58.320> compelling<00:09:59.160> uh
and there's some really compelling uh
and there's some really compelling uh
findings<00:09:59.880> the<00:10:00.040> first<00:10:00.320> is<00:10:00.720> we're<00:10:01.040> really<00:10:01.399> bad
findings the first is we're really bad
findings the first is we're really bad
at<00:10:01.800> detecting<00:10:02.240> deception<00:10:03.079> really<00:10:03.399> bad<00:10:03.959> 54%
at detecting deception really bad 54%
at detecting deception really bad 54%
accuracy<00:10:05.800> on<00:10:06.079> average<00:10:06.480> when<00:10:06.680> you<00:10:06.800> have<00:10:06.920> to
accuracy on average when you have to
accuracy on average when you have to
tell<00:10:07.279> if<00:10:07.399> somebody<00:10:07.800> that<00:10:07.959> just<00:10:08.079> said<00:10:08.320> a
tell if somebody that just said a
tell if somebody that just said a
statement<00:10:08.959> is<00:10:09.120> lying<00:10:09.440> or<00:10:10.160> not<00:10:11.160> that's<00:10:11.440> really
statement is lying or not that's really
statement is lying or not that's really
bad<00:10:12.839> why<00:10:13.000> is<00:10:13.079> it<00:10:13.240> so<00:10:13.480> bad<00:10:13.680> well<00:10:13.800> it<00:10:13.920> has<00:10:14.040> to<00:10:14.160> do
bad why is it so bad well it has to do
bad why is it so bad well it has to do
with<00:10:14.399> Pinocchio's
with Pinocchio's
with Pinocchio's
nose<00:10:16.560> if<00:10:16.680> I<00:10:16.760> were<00:10:16.880> to<00:10:17.000> ask<00:10:17.200> you<00:10:17.360> guys<00:10:17.600> what<00:10:17.720> do
nose if I were to ask you guys what do
nose if I were to ask you guys what do
you<00:10:18.120> rely<00:10:18.480> on<00:10:19.079> when<00:10:19.240> you're<00:10:19.440> looking<00:10:19.680> at
you rely on when you're looking at
you rely on when you're looking at
somebody<00:10:20.160> and<00:10:20.240> you<00:10:20.320> want<00:10:20.440> to<00:10:20.560> find<00:10:20.720> out<00:10:20.880> if
somebody and you want to find out if
somebody and you want to find out if
they're<00:10:21.200> lying<00:10:21.880> what<00:10:22.120> Cue<00:10:22.399> do<00:10:22.519> you<00:10:22.640> pay
they're lying what Cue do you pay
they're lying what Cue do you pay
attention<00:10:23.240> to<00:10:24.120> most<00:10:24.320> of<00:10:24.480> you<00:10:24.640> would<00:10:24.880> say<00:10:25.240> that
attention to most of you would say that
attention to most of you would say that
one<00:10:25.480> of<00:10:25.600> the<00:10:25.680> cues<00:10:25.959> you<00:10:26.079> look<00:10:26.200> at<00:10:26.360> is<00:10:26.519> the<00:10:26.720> eyes
one of the cues you look at is the eyes
one of the cues you look at is the eyes
the<00:10:27.680> eyes<00:10:27.839> are<00:10:27.959> the<00:10:28.079> wind<00:10:28.279> of<00:10:28.399> the<00:10:28.519> soul<00:10:28.800> and
the eyes are the wind of the soul and
the eyes are the wind of the soul and
not<00:10:29.320> alone<00:10:29.880> around<00:10:30.200> the<00:10:30.320> world<00:10:30.640> almost<00:10:30.880> every
not alone around the world almost every
not alone around the world almost every
culture<00:10:31.360> one<00:10:31.480> of<00:10:31.560> the<00:10:31.720> top<00:10:31.959> cues<00:10:32.440> is<00:10:32.680> eyes<00:10:33.440> but
culture one of the top cues is eyes but
culture one of the top cues is eyes but
the<00:10:33.760> research<00:10:34.680> over<00:10:34.839> the<00:10:35.000> last<00:10:35.160> 50<00:10:35.440> years<00:10:35.680> says
the research over the last 50 years says
the research over the last 50 years says
there's<00:10:36.639> actually<00:10:36.920> no<00:10:37.279> reliable<00:10:37.720> cue<00:10:37.959> to
there's actually no reliable cue to
there's actually no reliable cue to
deception<00:10:39.600> which<00:10:39.880> blew<00:10:40.160> me<00:10:40.360> away<00:10:40.639> and<00:10:40.760> it's
deception which blew me away and it's
deception which blew me away and it's
one<00:10:40.959> of<00:10:41.079> the<00:10:41.160> hard<00:10:41.320> lessons<00:10:41.600> I<00:10:41.680> learned<00:10:41.920> when<00:10:42.040> I
one of the hard lessons I learned when I
one of the hard lessons I learned when I
was<00:10:42.200> a<00:10:42.279> customs<00:10:42.720> officer<00:10:43.279> the<00:10:43.440> eyes<00:10:43.800> do<00:10:43.959> not
was a customs officer the eyes do not
was a customs officer the eyes do not
tell<00:10:44.399> us<00:10:44.560> whether<00:10:44.760> somebody's<00:10:45.160> lying<00:10:45.399> or<00:10:45.519> not
tell us whether somebody's lying or not
tell us whether somebody's lying or not
some<00:10:46.279> situations<00:10:46.839> yes<00:10:47.079> high<00:10:47.279> stakes<00:10:47.800> maybe
some situations yes high stakes maybe
some situations yes high stakes maybe
their<00:10:48.200> pupils<00:10:48.639> dilate<00:10:49.120> their<00:10:49.279> pitch<00:10:49.560> goes<00:10:49.839> up
their pupils dilate their pitch goes up
their pupils dilate their pitch goes up
their<00:10:50.680> um<00:10:51.160> uh<00:10:51.279> body<00:10:51.480> movements<00:10:51.839> change<00:10:52.120> a
their um uh body movements change a
their um uh body movements change a
little<00:10:52.360> bit<00:10:52.720> but<00:10:52.880> not<00:10:53.160> all<00:10:53.279> the<00:10:53.480> time<00:10:54.200> not<00:10:54.360> for
little bit but not all the time not for
little bit but not all the time not for
everybody<00:10:55.160> it's<00:10:55.360> not
everybody it's not
everybody it's not
reliable<00:10:57.279> strange<00:10:58.279> the<00:10:58.399> other<00:10:58.600> thing<00:10:58.760> is<00:10:59.120> that
reliable strange the other thing is that
reliable strange the other thing is that
just<00:10:59.560> because<00:10:59.839> you<00:11:00.000> can't<00:11:00.200> see<00:11:00.440> me<00:11:00.600> doesn't
just because you can't see me doesn't
just because you can't see me doesn't
mean<00:11:00.959> I'm<00:11:01.120> going<00:11:01.279> to<00:11:01.440> lie<00:11:02.320> it's<00:11:02.560> common<00:11:02.880> sense
mean I'm going to lie it's common sense
mean I'm going to lie it's common sense
but<00:11:03.279> one<00:11:03.639> important<00:11:04.240> finding<00:11:04.639> is<00:11:04.800> that<00:11:04.920> we<00:11:05.079> lie
but one important finding is that we lie
but one important finding is that we lie
for<00:11:05.440> a<00:11:05.639> reason<00:11:05.959> we<00:11:06.120> lie<00:11:06.279> to<00:11:06.440> protect<00:11:06.720> ourselves
for a reason we lie to protect ourselves
for a reason we lie to protect ourselves
or<00:11:07.320> for<00:11:07.440> our<00:11:07.560> own<00:11:07.839> gain<00:11:08.480> or<00:11:08.720> for<00:11:08.920> somebody
or for our own gain or for somebody
or for our own gain or for somebody
else's<00:11:10.079> gain<00:11:11.079> so<00:11:11.279> there<00:11:11.360> are<00:11:11.519> some
else's gain so there are some
else's gain so there are some
pathological<00:11:12.240> lies<00:11:12.480> but<00:11:12.600> they<00:11:12.680> make<00:11:12.839> up<00:11:12.959> a
pathological lies but they make up a
pathological lies but they make up a
tiny<00:11:13.800> portion<00:11:14.120> of<00:11:14.360> the<00:11:14.880> of<00:11:15.079> the<00:11:15.279> population<00:11:15.760> we
tiny portion of the of the population we
tiny portion of the of the population we
lie<00:11:16.200> for<00:11:16.360> a<00:11:16.480> reason<00:11:16.839> just<00:11:17.000> because<00:11:17.279> people
lie for a reason just because people
lie for a reason just because people
can't<00:11:17.720> see<00:11:17.920> us<00:11:18.079> doesn't<00:11:18.279> mean<00:11:18.440> we're<00:11:18.639> going<00:11:18.839> to
can't see us doesn't mean we're going to
can't see us doesn't mean we're going to
necessarily<00:11:19.720> lie<00:11:20.720> but<00:11:20.800> I<00:11:20.880> think<00:11:21.000> there's
necessarily lie but I think there's
necessarily lie but I think there's
actually<00:11:21.399> something<00:11:21.760> much<00:11:21.959> more<00:11:22.279> interesting
actually something much more interesting
actually something much more interesting
and<00:11:22.800> fundamental<00:11:23.399> going<00:11:23.560> on<00:11:23.839> here<00:11:24.560> the<00:11:24.720> next
and fundamental going on here the next
and fundamental going on here the next
big<00:11:25.279> thing<00:11:25.800> for<00:11:25.959> me<00:11:26.160> the<00:11:26.320> next<00:11:26.519> big<00:11:26.800> idea<00:11:27.800> we
big thing for me the next big idea we
big thing for me the next big idea we
can<00:11:28.160> find<00:11:28.680> by<00:11:29.040> going<00:11:29.399> way<00:11:29.680> back<00:11:29.839> in<00:11:30.040> history<00:11:30.360> to
can find by going way back in history to
can find by going way back in history to
the<00:11:30.680> origins<00:11:31.160> of<00:11:31.480> language<00:11:32.480> most<00:11:32.760> linguists
the origins of language most linguists
the origins of language most linguists
agree<00:11:34.000> that<00:11:34.839> we<00:11:35.000> started<00:11:35.360> speaking<00:11:35.720> somewhere
agree that we started speaking somewhere
agree that we started speaking somewhere
between<00:11:36.360> 50,000<00:11:36.959> and<00:11:37.200> 100,000<00:11:37.680> years<00:11:37.920> ago
between 50,000 and 100,000 years ago
between 50,000 and 100,000 years ago
that's<00:11:38.440> a<00:11:38.560> long<00:11:38.800> time<00:11:39.040> ago<00:11:39.760> a<00:11:39.920> lot<00:11:40.040> of<00:11:40.279> humans
that's a long time ago a lot of humans
that's a long time ago a lot of humans
have<00:11:40.880> lived<00:11:41.240> since<00:11:41.519> then<00:11:41.839> we've<00:11:42.040> been<00:11:42.240> talking
have lived since then we've been talking
have lived since then we've been talking
I<00:11:42.920> guess<00:11:43.160> about<00:11:43.480> fires<00:11:43.839> and<00:11:44.120> caves<00:11:44.519> and
I guess about fires and caves and
I guess about fires and caves and
saber-tooth<00:11:46.200> tigers<00:11:46.600> I<00:11:46.680> don't<00:11:46.800> know<00:11:46.959> what
saber-tooth tigers I don't know what
saber-tooth tigers I don't know what
they<00:11:47.240> talked<00:11:47.519> about<00:11:48.079> but<00:11:48.200> they<00:11:48.279> were<00:11:48.440> doing<00:11:48.639> a
they talked about but they were doing a
they talked about but they were doing a
lot<00:11:48.880> of<00:11:49.040> talking<00:11:49.440> and<00:11:49.560> like<00:11:49.720> I<00:11:49.880> said<00:11:50.040> there's<00:11:50.200> a
lot of talking and like I said there's a
lot of talking and like I said there's a
lot<00:11:50.480> of<00:11:50.639> humans<00:11:51.040> evolving<00:11:51.920> speaking<00:11:52.760> about
lot of humans evolving speaking about
lot of humans evolving speaking about
100<00:11:53.560> billion<00:11:54.000> people<00:11:54.320> in<00:11:54.600> fact<00:11:55.600> what's
100 billion people in fact what's
100 billion people in fact what's
important<00:11:56.279> though<00:11:56.399> is<00:11:56.560> that<00:11:57.240> writing<00:11:57.680> only
important though is that writing only
important though is that writing only
emerged<00:11:58.360> about<00:11:58.560> 5,000<00:11:59.200> years<00:11:59.839> ago<00:12:00.839> so<00:12:01.000> what
emerged about 5,000 years ago so what
emerged about 5,000 years ago so what
that<00:12:01.240> means<00:12:01.519> is<00:12:01.680> that<00:12:01.839> all<00:12:02.000> the<00:12:02.160> people<00:12:02.560> before
that means is that all the people before
that means is that all the people before
there<00:12:03.160> was<00:12:03.320> any
there was any
there was any
writing<00:12:05.399> every<00:12:05.720> word<00:12:06.040> that<00:12:06.200> they<00:12:06.320> ever
writing every word that they ever
writing every word that they ever
said<00:12:08.079> every<00:12:08.720> utterance<00:12:10.200> disappeared<00:12:11.200> no
said every utterance disappeared no
said every utterance disappeared no
Trace<00:12:12.440> evanescent
Trace evanescent
Trace evanescent
gone<00:12:15.199> so<00:12:15.399> we've<00:12:15.600> been<00:12:15.839> evolving<00:12:16.680> to<00:12:17.040> talk<00:12:17.920> in<00:12:18.040> a
gone so we've been evolving to talk in a
gone so we've been evolving to talk in a
way<00:12:18.399> in<00:12:18.560> which<00:12:18.880> there<00:12:19.360> is<00:12:19.560> no<00:12:20.079> record<00:12:21.079> in<00:12:21.240> fact
way in which there is no record in fact
way in which there is no record in fact
even<00:12:21.959> the<00:12:22.120> next<00:12:22.680> um<00:12:22.920> big<00:12:23.680> uh<00:12:24.199> change<00:12:24.560> to
even the next um big uh change to
even the next um big uh change to
writing<00:12:25.519> was<00:12:25.680> only<00:12:25.959> 500<00:12:26.360> years<00:12:26.519> ago<00:12:26.760> now<00:12:26.920> with
writing was only 500 years ago now with
writing was only 500 years ago now with
the<00:12:27.120> printing<00:12:27.480> press<00:12:27.760> which<00:12:27.880> is<00:12:28.079> very<00:12:28.240> recent
the printing press which is very recent
the printing press which is very recent
in<00:12:28.600> our<00:12:28.720> past<00:12:29.360> and<00:12:29.519> literacy<00:12:29.920> rates<00:12:30.320> remained
in our past and literacy rates remained
in our past and literacy rates remained
incredibly<00:12:31.160> low<00:12:31.399> right<00:12:31.560> up<00:12:31.720> until<00:12:32.360> World<00:12:32.639> War
incredibly low right up until World War
incredibly low right up until World War
II<00:12:33.880> so<00:12:34.160> even<00:12:34.399> the<00:12:34.519> people<00:12:34.720> of<00:12:34.880> the<00:12:35.040> last<00:12:35.279> two<00:12:36.120> uh
II so even the people of the last two uh
II so even the people of the last two uh
Millennia<00:12:37.320> most<00:12:37.480> of<00:12:37.639> the<00:12:37.720> words<00:12:38.079> they<00:12:38.279> ever
Millennia most of the words they ever
Millennia most of the words they ever
said
said
said
disappeared<00:12:42.199> let's<00:12:42.360> turn<00:12:42.600> to<00:12:42.920> now<00:12:43.920> the
disappeared let's turn to now the
disappeared let's turn to now the
networked<00:12:44.800> age<00:12:45.800> how<00:12:45.959> many<00:12:46.240> of<00:12:46.880> you<00:12:47.880> have
networked age how many of you have
networked age how many of you have
recorded<00:12:48.560> something<00:12:49.079> today<00:12:50.079> anybody<00:12:50.399> do<00:12:50.560> any
recorded something today anybody do any
recorded something today anybody do any
writing<00:12:51.000> today<00:12:51.320> did<00:12:51.440> anybody<00:12:51.760> write<00:12:51.880> a
writing today did anybody write a
writing today did anybody write a
word<00:12:54.120> it<00:12:54.240> looks<00:12:54.440> like<00:12:54.600> almost<00:12:55.040> every<00:12:55.360> single
word it looks like almost every single
word it looks like almost every single
person<00:12:56.160> here<00:12:56.639> recorded<00:12:57.120> something<00:12:57.839> in<00:12:58.040> this
person here recorded something in this
person here recorded something in this
room<00:12:58.600> right<00:12:59.040> now<00:12:59.399> we've<00:12:59.639> probably<00:12:59.920> recorded
room right now we've probably recorded
room right now we've probably recorded
more<00:13:01.320> than<00:13:01.680> almost<00:13:02.040> all<00:13:02.199> of<00:13:02.399> human<00:13:03.240> prean
more than almost all of human prean
more than almost all of human prean
history<00:13:05.600> that<00:13:05.720> is<00:13:06.040> crazy<00:13:06.440> we're<00:13:06.639> entering
history that is crazy we're entering
history that is crazy we're entering
this<00:13:07.320> amazing<00:13:07.800> period<00:13:08.519> of<00:13:08.720> flux<00:13:09.240> in<00:13:09.399> human
this amazing period of flux in human
this amazing period of flux in human
evolution<00:13:10.880> where<00:13:11.079> we've<00:13:11.360> evolved<00:13:11.880> to<00:13:12.079> speak
evolution where we've evolved to speak
evolution where we've evolved to speak
in<00:13:12.519> a<00:13:12.639> way<00:13:12.800> in<00:13:12.880> which<00:13:13.040> our<00:13:13.160> words<00:13:13.800> disappear
in a way in which our words disappear
in a way in which our words disappear
but<00:13:14.920> we're<00:13:15.079> in<00:13:15.240> an<00:13:15.440> environment<00:13:15.959> where<00:13:16.079> we're
but we're in an environment where we're
but we're in an environment where we're
recording<00:13:16.959> everything<00:13:17.880> in<00:13:18.040> fact<00:13:18.240> I<00:13:18.360> think<00:13:18.519> in
recording everything in fact I think in
recording everything in fact I think in
the<00:13:18.760> very<00:13:18.959> near<00:13:19.160> future<00:13:19.920> it's<00:13:20.079> not<00:13:20.240> just<00:13:20.360> what
the very near future it's not just what
the very near future it's not just what
we<00:13:20.600> write<00:13:20.800> that<00:13:20.920> will<00:13:21.040> be<00:13:21.240> recorded
we write that will be recorded
we write that will be recorded
everything<00:13:22.480> we<00:13:22.600> do<00:13:23.279> will<00:13:23.440> be
everything we do will be
everything we do will be
recorded<00:13:26.040> what<00:13:26.160> does<00:13:26.320> that<00:13:26.519> mean<00:13:27.360> what's<00:13:27.560> the
recorded what does that mean what's the
recorded what does that mean what's the
next<00:13:27.920> big<00:13:28.160> idea<00:13:28.440> from<00:13:28.600> that
next big idea from that
next big idea from that
well<00:13:29.839> as<00:13:29.959> a<00:13:30.160> social<00:13:30.560> scientist<00:13:31.519> this<00:13:31.639> is<00:13:31.839> the
well as a social scientist this is the
well as a social scientist this is the
most<00:13:32.519> amazing<00:13:33.519> thing<00:13:33.920> I<00:13:34.000> have<00:13:34.360> ever<00:13:34.720> even
most amazing thing I have ever even
most amazing thing I have ever even
dreamed<00:13:35.399> of<00:13:36.240> now<00:13:36.800> I<00:13:36.920> can<00:13:37.120> look<00:13:37.320> at<00:13:37.480> all<00:13:37.800> those
dreamed of now I can look at all those
dreamed of now I can look at all those
words<00:13:38.360> that<00:13:38.519> used<00:13:38.720> to<00:13:39.000> for<00:13:39.279> Millennia
words that used to for Millennia
words that used to for Millennia
disappear<00:13:41.000> I<00:13:41.079> can<00:13:41.320> look<00:13:41.760> at<00:13:42.040> lies<00:13:42.880> that<00:13:43.079> before
disappear I can look at lies that before
disappear I can look at lies that before
were<00:13:43.519> said<00:13:43.800> and<00:13:43.920> then<00:13:44.360> gone<00:13:45.360> you<00:13:45.519> remember
were said and then gone you remember
were said and then gone you remember
those<00:13:46.079> ashot<00:13:46.600> turfing<00:13:47.600> reviews<00:13:48.120> that<00:13:48.320> we<00:13:48.560> were
those ashot turfing reviews that we were
those ashot turfing reviews that we were
talking<00:13:49.079> about<00:13:49.639> before<00:13:50.639> well<00:13:51.040> when<00:13:51.199> they
talking about before well when they
talking about before well when they
write<00:13:51.519> a<00:13:51.680> fake<00:13:51.920> review<00:13:52.279> they<00:13:52.399> have<00:13:52.519> to<00:13:52.680> post<00:13:52.959> it
write a fake review they have to post it
write a fake review they have to post it
somewhere<00:13:53.360> and<00:13:53.480> it's<00:13:53.720> left<00:13:53.959> behind<00:13:54.279> for<00:13:54.480> us<00:13:55.040> so
somewhere and it's left behind for us so
somewhere and it's left behind for us so
one<00:13:55.360> thing<00:13:55.519> that<00:13:55.600> we<00:13:55.720> did<00:13:55.880> I'll<00:13:56.040> give<00:13:56.160> you<00:13:56.240> an
one thing that we did I'll give you an
one thing that we did I'll give you an
example<00:13:57.160> of<00:13:57.279> looking<00:13:57.560> at<00:13:57.920> the<00:13:58.120> language<00:13:58.920> is<00:13:59.120> we
example of looking at the language is we
example of looking at the language is we
paid<00:13:59.839> people<00:14:00.160> to<00:14:00.440> write<00:14:00.639> some<00:14:00.839> fake<00:14:01.120> reviews
paid people to write some fake reviews
paid people to write some fake reviews
one<00:14:01.839> of<00:14:02.000> these<00:14:02.199> reviews<00:14:02.639> is<00:14:02.839> fake<00:14:03.240> the<00:14:03.360> person
one of these reviews is fake the person
one of these reviews is fake the person
never<00:14:03.839> was<00:14:04.040> at<00:14:04.160> the<00:14:04.279> James<00:14:04.639> Hotel<00:14:05.399> the<00:14:05.519> other
never was at the James Hotel the other
never was at the James Hotel the other
review<00:14:06.199> is<00:14:06.360> real<00:14:06.720> the<00:14:06.839> person<00:14:07.160> stayed<00:14:07.720> there
review is real the person stayed there
review is real the person stayed there
now<00:14:08.880> your<00:14:09.199> task<00:14:09.680> now<00:14:10.199> is<00:14:10.360> to
now your task now is to
now your task now is to
decide<00:14:12.480> which<00:14:13.000> review<00:14:14.000> is
decide which review is
decide which review is
fake<00:14:16.759> I'll<00:14:16.959> give<00:14:17.079> you<00:14:17.240> a<00:14:17.440> moment<00:14:18.240> to<00:14:18.480> read
fake I'll give you a moment to read
fake I'll give you a moment to read
through<00:14:19.440> them<00:14:20.440> but<00:14:20.560> I<00:14:20.680> want<00:14:20.959> everybody<00:14:21.440> to
through them but I want everybody to
through them but I want everybody to
raise<00:14:21.800> their<00:14:21.959> hand<00:14:22.120> at<00:14:22.240> some<00:14:22.360> point<00:14:22.560> remember
raise their hand at some point remember
raise their hand at some point remember
I<00:14:22.880> study<00:14:23.160> deception<00:14:23.720> I<00:14:23.800> can<00:14:24.000> tell<00:14:24.240> if<00:14:24.320> you
I study deception I can tell if you
I study deception I can tell if you
don't<00:14:24.600> raise<00:14:24.800> your
don't raise your
don't raise your
hand<00:14:26.959> all<00:14:27.160> right<00:14:27.759> how<00:14:27.880> many<00:14:28.079> of<00:14:28.199> you<00:14:28.360> believe
hand all right how many of you believe
hand all right how many of you believe
that<00:14:29.320> a<00:14:30.079> is<00:14:30.279> the
fake<00:14:33.600> all<00:14:33.800> right<00:14:34.399> very<00:14:34.680> good<00:14:34.920> about<00:14:35.199> half<00:14:35.440> and
fake all right very good about half and
fake all right very good about half and
how<00:14:35.639> many<00:14:35.800> of<00:14:35.920> you<00:14:36.079> think<00:14:36.920> that<00:14:37.279> b
how many of you think that b
how many of you think that b
is<00:14:39.440> all<00:14:39.680> right<00:14:39.959> slightly<00:14:40.320> more<00:14:40.560> for<00:14:40.839> B
is all right slightly more for B
is all right slightly more for B
excellent<00:14:42.560> here's<00:14:42.839> the<00:14:43.519> answer<00:14:44.519> B<00:14:44.800> is<00:14:44.880> a<00:14:45.079> fake
excellent here's the answer B is a fake
excellent here's the answer B is a fake
well<00:14:46.360> done<00:14:46.680> second<00:14:47.040> group<00:14:47.639> you<00:14:47.920> dominated<00:14:48.440> the
well done second group you dominated the
well done second group you dominated the
first
first
first
group<00:14:50.839> you're<00:14:51.079> actually<00:14:51.279> a<00:14:51.360> little<00:14:51.480> bit
group you're actually a little bit
group you're actually a little bit
unusual<00:14:52.240> every<00:14:52.480> time<00:14:52.800> we<00:14:53.000> demonstrate<00:14:53.680> this
unusual every time we demonstrate this
unusual every time we demonstrate this
it's<00:14:54.360> usually<00:14:54.639> about<00:14:54.800> a<00:14:54.920> 50/50<00:14:55.560> split<00:14:55.920> which
it's usually about a 50/50 split which
it's usually about a 50/50 split which
fits<00:14:56.399> with<00:14:56.560> the<00:14:56.680> research<00:14:57.160> 54%<00:14:58.160> maybe<00:14:58.399> people
fits with the research 54% maybe people
fits with the research 54% maybe people
here<00:14:58.839> in<00:14:58.920> Winnipeg<00:14:59.320> are<00:14:59.480> more<00:14:59.680> suspicious<00:15:00.160> and
here in Winnipeg are more suspicious and
here in Winnipeg are more suspicious and
better<00:15:00.600> at<00:15:00.759> figuring<00:15:01.120> it<00:15:01.480> out<00:15:02.480> there<00:15:02.720> cold
better at figuring it out there cold
better at figuring it out there cold
hard<00:15:03.240> Winters<00:15:03.720> I<00:15:03.839> love
hard Winters I love
hard Winters I love
it<00:15:06.000> all<00:15:06.120> right<00:15:06.360> so<00:15:07.360> why<00:15:07.480> do<00:15:07.680> I<00:15:07.880> care<00:15:08.120> about<00:15:08.399> this
it all right so why do I care about this
it all right so why do I care about this
well<00:15:08.839> what<00:15:08.959> I<00:15:09.040> can<00:15:09.199> do<00:15:09.480> now<00:15:09.720> with<00:15:09.880> my
well what I can do now with my
well what I can do now with my
colleagues<00:15:10.360> in<00:15:10.519> computer<00:15:10.959> science<00:15:11.920> is<00:15:12.120> we<00:15:12.240> can
colleagues in computer science is we can
colleagues in computer science is we can
create<00:15:12.920> computer<00:15:13.399> algorithms<00:15:14.120> that<00:15:14.240> can
create computer algorithms that can
create computer algorithms that can
analyze<00:15:15.440> the<00:15:15.600> linguistic<00:15:16.120> traces<00:15:16.519> of
analyze the linguistic traces of
analyze the linguistic traces of
deception<00:15:17.720> let<00:15:17.839> me<00:15:18.000> highlight<00:15:18.279> a<00:15:18.399> couple<00:15:18.600> of
deception let me highlight a couple of
deception let me highlight a couple of
things<00:15:19.040> here<00:15:19.399> in<00:15:19.560> the<00:15:19.720> fake<00:15:20.040> review<00:15:20.959> the<00:15:21.120> first
things here in the fake review the first
things here in the fake review the first
is<00:15:21.639> that<00:15:22.240> Liars<00:15:22.720> tend<00:15:22.880> to<00:15:23.000> think<00:15:23.160> about
is that Liars tend to think about
is that Liars tend to think about
narrative<00:15:23.759> they<00:15:23.880> make<00:15:24.040> up<00:15:24.160> a<00:15:24.320> story<00:15:24.800> who<00:15:25.199> and
narrative they make up a story who and
narrative they make up a story who and
and<00:15:25.880> what<00:15:26.120> happened<00:15:26.519> and<00:15:26.639> that's<00:15:26.800> what
and what happened and that's what
and what happened and that's what
happened<00:15:27.279> here<00:15:27.800> our<00:15:28.040> fake<00:15:28.279> review<00:15:28.880> talked
happened here our fake review talked
happened here our fake review talked
about<00:15:29.279> who<00:15:29.440> they<00:15:29.519> were<00:15:29.759> with<00:15:29.959> and<00:15:30.160> what<00:15:30.279> they
about who they were with and what they
about who they were with and what they
were<00:15:30.800> doing<00:15:31.800> they<00:15:32.000> also<00:15:32.240> used<00:15:32.600> the<00:15:32.720> first
were doing they also used the first
were doing they also used the first
person<00:15:33.360> singular<00:15:34.480> I<00:15:35.480> way<00:15:35.759> more<00:15:36.399> than<00:15:36.560> the
person singular I way more than the
person singular I way more than the
people<00:15:36.880> that<00:15:37.040> actually<00:15:37.199> stayed<00:15:37.480> there<00:15:37.600> they
people that actually stayed there they
people that actually stayed there they
were<00:15:37.839> inserting<00:15:38.480> themselves<00:15:38.880> into<00:15:40.120> the<00:15:41.120> hotel
were inserting themselves into the hotel
were inserting themselves into the hotel
review<00:15:41.959> kind<00:15:42.079> of<00:15:42.240> trying<00:15:42.440> to<00:15:42.600> convince<00:15:42.880> you
review kind of trying to convince you
review kind of trying to convince you
were<00:15:43.360> there<00:15:44.079> in<00:15:44.319> contrast<00:15:44.920> the<00:15:45.040> people<00:15:45.279> that
were there in contrast the people that
were there in contrast the people that
wrote<00:15:45.880> the<00:15:46.040> reviews<00:15:46.399> that<00:15:46.519> were<00:15:46.720> actually
wrote the reviews that were actually
wrote the reviews that were actually
there<00:15:47.639> their<00:15:47.839> bodies<00:15:48.279> actually<00:15:48.480> entered<00:15:48.800> the
there their bodies actually entered the
there their bodies actually entered the
physical<00:15:49.480> space<00:15:50.279> they<00:15:50.440> talked<00:15:50.720> a<00:15:50.839> lot<00:15:51.040> more
physical space they talked a lot more
physical space they talked a lot more
about<00:15:51.920> spatial<00:15:52.480> information<00:15:53.480> they<00:15:53.639> said<00:15:53.959> how
about spatial information they said how
about spatial information they said how
big<00:15:54.279> the<00:15:54.440> bathroom<00:15:54.920> was<00:15:55.319> or<00:15:55.600> they<00:15:55.800> said<00:15:56.519> you
big the bathroom was or they said you
big the bathroom was or they said you
know<00:15:57.199> here's<00:15:57.440> how<00:15:57.639> far<00:15:57.839> shopping<00:15:58.279> is<00:15:58.399> from
know here's how far shopping is from
know here's how far shopping is from
from<00:15:58.720> the
from the
from the
hotel<00:16:00.399> now<00:16:00.720> you<00:16:00.920> guys<00:16:01.040> did<00:16:01.319> pretty<00:16:01.519> well<00:16:01.839> most
hotel now you guys did pretty well most
hotel now you guys did pretty well most
people<00:16:02.399> perform<00:16:02.720> at<00:16:02.839> chance<00:16:03.120> at<00:16:03.279> this<00:16:03.519> task
people perform at chance at this task
people perform at chance at this task
our<00:16:04.560> computer<00:16:04.880> algorithm<00:16:05.319> is<00:16:05.600> very<00:16:05.880> accurate
our computer algorithm is very accurate
our computer algorithm is very accurate
much<00:16:06.399> more<00:16:06.759> accurate<00:16:07.160> than<00:16:07.480> than<00:16:07.639> humans<00:16:08.040> can
much more accurate than than humans can
much more accurate than than humans can
be<00:16:08.759> and<00:16:08.839> it's<00:16:09.000> not<00:16:09.120> going<00:16:09.240> to<00:16:09.360> be<00:16:09.480> accurate<00:16:09.800> all
be and it's not going to be accurate all
be and it's not going to be accurate all
the<00:16:10.079> time<00:16:10.279> this<00:16:10.399> isn't<00:16:10.639> a<00:16:10.759> deception
the time this isn't a deception
the time this isn't a deception
detection<00:16:11.560> machine<00:16:11.920> to<00:16:12.079> tell<00:16:12.519> if<00:16:12.639> your
detection machine to tell if your
detection machine to tell if your
girlfriend's<00:16:13.240> lying<00:16:13.480> to<00:16:13.560> you<00:16:13.680> on<00:16:13.839> text
girlfriend's lying to you on text
girlfriend's lying to you on text
messaging<00:16:15.079> we<00:16:15.279> believe<00:16:15.720> that<00:16:16.079> every<00:16:16.399> lie<00:16:16.880> now
messaging we believe that every lie now
messaging we believe that every lie now
every<00:16:17.600> type<00:16:17.800> of<00:16:18.000> lie<00:16:18.399> fake<00:16:18.720> hotel<00:16:19.160> reviews
every type of lie fake hotel reviews
every type of lie fake hotel reviews
fake<00:16:20.519> shoe<00:16:21.079> reviews<00:16:22.079> your<00:16:23.040> girlfriend
fake shoe reviews your girlfriend
fake shoe reviews your girlfriend
cheating<00:16:23.839> on<00:16:24.000> you<00:16:24.160> with<00:16:24.360> text<00:16:24.600> messaging
cheating on you with text messaging
cheating on you with text messaging
those<00:16:25.399> are<00:16:25.560> all<00:16:25.880> different<00:16:26.120> lies<00:16:26.399> that<00:16:26.560> going
those are all different lies that going
those are all different lies that going
to<00:16:26.720> have<00:16:27.000> different<00:16:27.399> patterns<00:16:27.759> of<00:16:27.920> language
to have different patterns of language
to have different patterns of language
but<00:16:29.040> because<00:16:29.360> everything<00:16:29.600> is<00:16:29.800> recorded<00:16:30.279> now
but because everything is recorded now
but because everything is recorded now
we<00:16:30.959> can<00:16:31.120> look<00:16:31.279> at<00:16:31.519> all<00:16:31.680> of<00:16:31.880> those<00:16:32.040> kinds<00:16:32.240> of
we can look at all of those kinds of
we can look at all of those kinds of
Lies<00:16:34.240> now<00:16:34.880> as<00:16:34.959> I<00:16:35.120> said<00:16:35.279> as<00:16:35.399> a<00:16:35.560> social<00:16:35.920> scientist
Lies now as I said as a social scientist
Lies now as I said as a social scientist
this<00:16:36.880> is<00:16:37.880> wonderful<00:16:38.399> it's<00:16:38.639> transformational
this is wonderful it's transformational
this is wonderful it's transformational
we're<00:16:39.600> going<00:16:39.720> to<00:16:39.800> be<00:16:39.920> able<00:16:40.079> to<00:16:40.199> learn<00:16:41.000> so<00:16:41.240> much
we're going to be able to learn so much
we're going to be able to learn so much
more<00:16:41.720> about<00:16:42.040> human<00:16:42.480> thought<00:16:42.880> and<00:16:43.199> expression
more about human thought and expression
more about human thought and expression
about<00:16:44.880> everything<00:16:45.399> from<00:16:45.880> love<00:16:46.639> to<00:16:47.759> Attitudes
about everything from love to Attitudes
about everything from love to Attitudes
because<00:16:49.199> everything<00:16:49.480> is<00:16:49.600> being<00:16:49.839> recorded<00:16:50.199> now
because everything is being recorded now
because everything is being recorded now
but<00:16:50.519> what<00:16:50.600> does<00:16:50.720> it<00:16:50.880> mean<00:16:51.480> for<00:16:51.959> the<00:16:52.120> average
but what does it mean for the average
but what does it mean for the average
citizen<00:16:52.920> what<00:16:53.000> does<00:16:53.120> it<00:16:53.240> mean<00:16:53.399> for<00:16:53.680> us<00:16:53.959> in<00:16:54.079> our
citizen what does it mean for us in our
citizen what does it mean for us in our
lives<00:16:55.480> well<00:16:55.600> let's<00:16:55.720> forget<00:16:56.040> deception<00:16:56.480> for<00:16:56.639> a
lives well let's forget deception for a
lives well let's forget deception for a
bit<00:16:57.639> one<00:16:57.759> of<00:16:57.880> the<00:16:58.040> big
bit one of the big
bit one of the big
ideas<00:16:59.759> I<00:16:59.920> believe<00:17:00.360> is<00:17:00.519> that<00:17:00.639> we're<00:17:00.880> leaving
ideas I believe is that we're leaving
ideas I believe is that we're leaving
these<00:17:01.600> huge<00:17:01.880> traces<00:17:02.480> behind<00:17:02.920> my<00:17:03.160> inbox<00:17:03.759> and
these huge traces behind my inbox and
these huge traces behind my inbox and
outbox<00:17:04.760> for<00:17:04.959> email<00:17:05.280> is<00:17:05.520> massive<00:17:06.160> and<00:17:06.280> I<00:17:06.439> never
outbox for email is massive and I never
outbox for email is massive and I never
look<00:17:06.919> at<00:17:07.079> it<00:17:07.919> I<00:17:08.079> write<00:17:08.319> all<00:17:08.480> the<00:17:08.720> time<00:17:09.400> but<00:17:09.520> I
look at it I write all the time but I
look at it I write all the time but I
never<00:17:10.000> look<00:17:10.199> at<00:17:10.439> my<00:17:11.039> at<00:17:11.199> my<00:17:11.400> record<00:17:11.760> at<00:17:11.919> my
never look at my at my record at my
never look at my at my record at my
trace<00:17:12.839> and<00:17:12.959> I<00:17:13.039> think<00:17:13.160> we're<00:17:13.280> going<00:17:13.400> to<00:17:13.480> see<00:17:13.679> a
trace and I think we're going to see a
trace and I think we're going to see a
lot<00:17:14.000> more<00:17:14.199> of<00:17:14.439> that<00:17:14.559> where<00:17:14.760> we<00:17:14.839> can<00:17:15.079> reflect<00:17:15.480> on
lot more of that where we can reflect on
lot more of that where we can reflect on
Who<00:17:15.959> We<00:17:16.319> Are<00:17:17.319> by<00:17:17.480> looking<00:17:17.760> at<00:17:18.120> what<00:17:18.280> we<00:17:18.439> wrote
Who We Are by looking at what we wrote
Who We Are by looking at what we wrote
what<00:17:19.240> we<00:17:19.400> said<00:17:19.839> what<00:17:19.959> we<00:17:20.360> did<00:17:21.360> now<00:17:21.480> if<00:17:21.559> we<00:17:21.679> bring
what we said what we did now if we bring
what we said what we did now if we bring
it<00:17:21.959> back<00:17:22.079> to<00:17:22.280> deception<00:17:23.079> there's<00:17:23.280> a<00:17:23.400> couple<00:17:23.600> of
it back to deception there's a couple of
it back to deception there's a couple of
takeaway<00:17:24.240> things<00:17:24.640> here<00:17:26.039> first<00:17:27.039> line<00:17:27.360> online
takeaway things here first line online
takeaway things here first line online
can<00:17:28.120> be<00:17:28.559> very<00:17:28.919> dangerous<00:17:29.919> right<00:17:30.280> not<00:17:30.400> only<00:17:30.640> are
can be very dangerous right not only are
can be very dangerous right not only are
you<00:17:30.840> leaving<00:17:31.080> a<00:17:31.240> record<00:17:31.600> for<00:17:31.799> yourself<00:17:32.200> on
you leaving a record for yourself on
you leaving a record for yourself on
your<00:17:32.559> machine<00:17:33.160> but<00:17:33.280> you're<00:17:33.400> leaving<00:17:33.640> a<00:17:33.799> record
your machine but you're leaving a record
your machine but you're leaving a record
on<00:17:34.200> the<00:17:34.360> person<00:17:34.679> that<00:17:35.000> that<00:17:35.080> you<00:17:35.200> were<00:17:35.400> lying
on the person that that you were lying
on the person that that you were lying
to<00:17:36.919> and<00:17:37.039> you're<00:17:37.200> also<00:17:37.400> leaving<00:17:37.640> them<00:17:37.799> around
to and you're also leaving them around
to and you're also leaving them around
for<00:17:38.120> me<00:17:38.240> to<00:17:38.400> analyze<00:17:38.840> with<00:17:38.960> some<00:17:39.120> computer
for me to analyze with some computer
for me to analyze with some computer
algorithms<00:17:40.200> so<00:17:40.440> by<00:17:40.559> all<00:17:40.679> means<00:17:40.960> go<00:17:41.039> ahead<00:17:41.200> and
algorithms so by all means go ahead and
algorithms so by all means go ahead and
do<00:17:41.520> that<00:17:41.760> that's
do that that's
do that that's
good<00:17:44.080> but<00:17:44.240> when<00:17:44.440> it<00:17:44.559> comes<00:17:44.919> to<00:17:45.919> LY<00:17:46.840> and<00:17:47.039> what<00:17:47.160> we
good but when it comes to LY and what we
good but when it comes to LY and what we
want<00:17:47.400> to<00:17:47.520> do<00:17:47.679> with<00:17:47.840> our<00:17:48.120> lives<00:17:48.640> I<00:17:48.720> think<00:17:48.880> we<00:17:48.960> can
want to do with our lives I think we can
want to do with our lives I think we can
go<00:17:49.400> back
go back
go back
to<00:17:51.320> diogenes<00:17:52.039> and<00:17:52.440> confucious<00:17:53.000> and<00:17:53.120> they<00:17:53.200> were
to diogenes and confucious and they were
to diogenes and confucious and they were
less<00:17:53.600> concerned<00:17:54.000> about<00:17:54.200> whether<00:17:54.440> to<00:17:54.640> lie<00:17:54.880> or
less concerned about whether to lie or
less concerned about whether to lie or
not<00:17:55.240> to<00:17:55.440> lie<00:17:55.760> and<00:17:55.919> more<00:17:56.120> concerned<00:17:56.520> about
not to lie and more concerned about
not to lie and more concerned about
being<00:17:57.120> true<00:17:57.320> to<00:17:57.520> the<00:17:57.720> self<00:17:58.799> and<00:17:58.919> I<00:17:59.000> think<00:17:59.159> this
being true to the self and I think this
being true to the self and I think this
is<00:17:59.480> really<00:18:00.080> important<00:18:01.120> now<00:18:02.120> when<00:18:02.280> you<00:18:02.520> are
is really important now when you are
is really important now when you are
about<00:18:02.880> to<00:18:03.039> say<00:18:03.320> or<00:18:03.520> do<00:18:03.799> something<00:18:04.320> we<00:18:04.440> can
about to say or do something we can
about to say or do something we can
think<00:18:05.440> do<00:18:05.640> I<00:18:05.799> want<00:18:06.159> this<00:18:06.440> to<00:18:06.600> be<00:18:06.919> part<00:18:07.760> of<00:18:08.039> my
think do I want this to be part of my
think do I want this to be part of my
legacy<00:18:09.080> part<00:18:09.280> of<00:18:09.520> my<00:18:10.000> personal<00:18:11.000> record
legacy part of my personal record
legacy part of my personal record
because<00:18:12.600> in<00:18:12.720> the<00:18:12.840> digital<00:18:13.200> age<00:18:13.400> we<00:18:13.520> live<00:18:13.679> in
because in the digital age we live in
because in the digital age we live in
now<00:18:14.000> in<00:18:14.080> the<00:18:14.200> network<00:18:14.640> age<00:18:15.640> we<00:18:15.760> are<00:18:16.080> all
now in the network age we are all
now in the network age we are all
leaving<00:18:17.120> a
leaving a
leaving a
record<00:18:18.840> thank<00:18:19.039> you<00:18:19.200> so<00:18:19.400> much<00:18:19.600> for<00:18:19.760> your<00:18:20.000> time
record thank you so much for your time
record thank you so much for your time
and<00:18:20.840> good<00:18:21.080> luck<00:18:21.559> with<00:18:21.720> your
and good luck with your
and good luck with your
[Applause]
[Applause]
[Applause]
record
Jeff Hancock, TED, TEDx, TED-Ed, TED, Ed, TEDEducation, honesty, lie, lies, lying, honest, white, lie, dishonesty, internet, anonymity
