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Did you do this?
I didn't do that.
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00:00:02,901 --> 00:00:04,102
You realize it's $400.
No.
3
00:00:04,103 --> 00:00:05,705
Dude, it wasn't me.
Come in. Come on.
4
00:00:05,706 --> 00:00:09,975
You ever tell a lie...
Even a little one?
5
00:00:09,976 --> 00:00:12,012
[ Cellphone chimes ]
6
00:00:14,646 --> 00:00:18,949
Is technology making it easier
for us to lie?
7
00:00:18,950 --> 00:00:21,153
Or maybe nothing ever changes,
8
00:00:21,154 --> 00:00:25,156
and dishonesty is just
a timeless part of human nature.
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00:00:25,157 --> 00:00:26,191
Dion.
Oh.
10
00:00:26,192 --> 00:00:27,193
What are you doing?
Who is that?
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00:00:27,194 --> 00:00:30,127
Could society function
in a world
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00:00:30,128 --> 00:00:32,130
without lying or secrets?
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00:00:32,131 --> 00:00:34,432
No, I do not
have another girlfriend.
14
00:00:34,433 --> 00:00:35,017
[ Buzzer ]
15
00:00:35,018 --> 00:00:35,600
Mm.
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00:00:35,601 --> 00:00:37,369
Well,
you're a liar.
17
00:00:40,272 --> 00:00:43,841
Dishonesty
might be so widespread
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00:00:43,842 --> 00:00:47,913
because we're so easily fooled,
19
00:00:47,914 --> 00:00:51,582
and our memories are fallible.
20
00:00:51,583 --> 00:00:55,487
Can we ever see the true nature
of reality?
21
00:00:57,457 --> 00:01:00,493
Or is truth just a lie?
22
00:01:05,698 --> 00:01:09,669
Space, time, life itself.
23
00:01:12,604 --> 00:01:17,642
The secrets of the cosmos
lie through the wormhole.
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00:01:17,643 --> 00:01:20,644
Captions by vitac
www.Vitac.Com
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00:01:20,645 --> 00:01:23,683
captions paid for by
discovery communications
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00:01:28,086 --> 00:01:31,857
I'm going to let you in
on a little secret.
27
00:01:34,794 --> 00:01:38,963
I have never told a lie.
28
00:01:38,964 --> 00:01:46,037
Not once in my long career
has an untruth crossed my lips,
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00:01:46,038 --> 00:01:48,041
honest.
30
00:01:49,842 --> 00:01:51,609
[ Chuckles ]
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00:01:51,610 --> 00:01:54,212
We all agree
that lying is shameful,
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00:01:54,213 --> 00:01:59,751
yet we still deliberately
deceive each other all the time.
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00:01:59,752 --> 00:02:05,889
Perhaps we lie
because we just can't help it.
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00:02:05,890 --> 00:02:08,693
When did you tell
your first lie?
35
00:02:08,694 --> 00:02:13,598
Perhaps it was soon after
you were first lied to.
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00:02:13,599 --> 00:02:16,035
I told my son
if he didn't eat his broccoli,
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he would be under 4 feet
the rest of his life.
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00:02:19,872 --> 00:02:22,708
I told my son his blanket
would protect him from monsters
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00:02:22,709 --> 00:02:24,141
in the closet.
40
00:02:24,142 --> 00:02:26,944
I told my daughter if she didn't
keep her room clean,
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00:02:26,945 --> 00:02:30,882
she would never find a man
that would want to marry her.
42
00:02:30,883 --> 00:02:33,384
Freeman: Kang Lee
is a developmental psychologist
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00:02:33,385 --> 00:02:35,687
at the university of Toronto.
44
00:02:35,688 --> 00:02:40,859
As a father, he understands
why we lie to our kids.
45
00:02:40,860 --> 00:02:45,830
Sometimes, you have exhausted
all the other better methods,
46
00:02:45,831 --> 00:02:48,534
and the lying
sometimes becomes the only way
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00:02:48,535 --> 00:02:51,336
you can deal
with the situation on hand.
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00:02:51,337 --> 00:02:55,841
Freeman: In fact, Kang is
as guilty as the rest of us.
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00:02:55,842 --> 00:02:59,411
I used to drive my son Nathan
to his school every morning.
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00:02:59,412 --> 00:03:01,111
[ Indistinct shouting ]
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00:03:01,112 --> 00:03:03,413
And sometimes, in the backseat,
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00:03:03,414 --> 00:03:05,984
and he would be acting up
and screaming, yelling,
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00:03:05,985 --> 00:03:08,220
and I pointed
to the hazard light
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00:03:08,221 --> 00:03:11,890
and I said, "that actually
is an eject button.
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If I push that button,
your car seat
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00:03:14,492 --> 00:03:17,462
is going to blow off
and go through the roof,
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00:03:17,463 --> 00:03:20,298
and you're going to fly
out of the car."
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00:03:20,299 --> 00:03:25,003
And immediately,
he became very quiet.
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00:03:25,004 --> 00:03:27,106
Freeman: Would children remain
honest and pure
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00:03:27,107 --> 00:03:32,210
if we grown ups didn't
corrupt them with our lies?
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00:03:32,211 --> 00:03:35,312
Kang believes
something deeper is going on.
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00:03:35,313 --> 00:03:37,681
He and his colleagues
have run an experiment
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00:03:37,682 --> 00:03:40,786
with thousands of kids
of various ages.
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00:03:40,787 --> 00:03:43,621
[ Barking ]
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00:03:43,622 --> 00:03:46,890
What do you think
it is?
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00:03:46,891 --> 00:03:48,225
A dog.
A dog.
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00:03:48,226 --> 00:03:50,093
Come around.
Yes, it is a dog.
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00:03:50,094 --> 00:03:50,778
Doggy.
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00:03:50,779 --> 00:03:51,461
[ Chuckles ]
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00:03:51,462 --> 00:03:53,899
It starts as a game...
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00:03:53,900 --> 00:03:57,836
Guess the animal
from just the sound it makes.
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00:03:57,837 --> 00:03:59,003
[ Neighing ]
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00:03:59,004 --> 00:04:00,638
A horse?
Yes.
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00:04:00,639 --> 00:04:02,606
Turn around.
Take a look.
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00:04:02,607 --> 00:04:04,374
Yeah.
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00:04:04,375 --> 00:04:05,811
Kids are promised a prize
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00:04:05,812 --> 00:04:07,646
if they can guess
the third animal correctly.
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00:04:07,647 --> 00:04:08,713
Turn around.
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00:04:08,714 --> 00:04:10,715
Then,
the grown ups leave the room.
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00:04:10,716 --> 00:04:11,784
And I'm gonna
play the sound...
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00:04:11,785 --> 00:04:15,787
All right.
So I'll be right back, okay?
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00:04:15,788 --> 00:04:18,021
[ Door opens, closes ]
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00:04:18,022 --> 00:04:20,193
[ Door closes ]
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00:04:28,101 --> 00:04:30,336
You can guess
how well that worked.
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00:04:30,337 --> 00:04:32,002
Hidden cameras revealed
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00:04:32,003 --> 00:04:35,706
that for many children,
the temptation was too great.
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00:04:35,707 --> 00:04:37,309
[ Door opens, closes ]
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Sorry.
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00:04:38,844 --> 00:04:40,478
You can
turn around now.
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00:04:40,479 --> 00:04:41,646
When I was gone,
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00:04:41,647 --> 00:04:44,214
did you turn around to peek
to see what it is?
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00:04:44,215 --> 00:04:45,483
No? Okay.
93
00:04:45,484 --> 00:04:47,185
Now, what do you
think it is?
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00:04:47,186 --> 00:04:48,003
Cow.
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00:04:48,004 --> 00:04:48,819
It's a cow?
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00:04:48,820 --> 00:04:52,223
If they later identified the
animal without ever hearing it,
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00:04:52,224 --> 00:04:56,927
the experimenters knew
those children lied.
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00:04:56,928 --> 00:04:58,728
Lee:
That's basically the procedure
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00:04:58,729 --> 00:05:03,134
we have been using with kids
in the U.S., in Canada,
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00:05:03,135 --> 00:05:06,504
in China, in Africa.
101
00:05:06,505 --> 00:05:11,375
And it works very, very well
with kids all over the world.
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00:05:11,376 --> 00:05:12,877
Freeman:
Researchers used to believe
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00:05:12,878 --> 00:05:16,113
that children
start lying around age 5,
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00:05:16,114 --> 00:05:19,416
after more exposure
to the adult world.
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00:05:19,417 --> 00:05:22,821
But Kang has shown
that lying starts much earlier.
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00:05:22,822 --> 00:05:23,890
What do you think it is?
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00:05:23,891 --> 00:05:24,956
Cow.
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00:05:24,957 --> 00:05:26,891
[ Laughing ]
It's a cow. Okay.
109
00:05:26,892 --> 00:05:29,326
How do you know
it's a cow?
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00:05:29,327 --> 00:05:32,730
Kids actually start to tell lies
at 2 years of age,
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00:05:32,731 --> 00:05:34,833
so that is very surprising.
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At 2 years of age,
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about 30% of kids
would tell lies,
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00:05:39,770 --> 00:05:41,939
and at 3 years of age,
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about 50% of the kids
would tell a lie.
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00:05:45,344 --> 00:05:49,913
By 7 and 8 years of age,
100% of kids will lie.
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Did you
turn around to peek?
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No.
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00:05:53,551 --> 00:05:56,254
Freeman: Kang's revelation is
enough to send worried parents
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00:05:56,255 --> 00:05:57,721
into a tizzy,
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00:05:57,722 --> 00:06:02,026
except there is a bright side
to early lying.
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00:06:02,027 --> 00:06:05,829
Lee: Those kids who lie earlier
than the other kids
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00:06:05,830 --> 00:06:07,132
are actually those kids
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00:06:07,133 --> 00:06:10,668
who have better cognitive
development abilities.
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00:06:10,669 --> 00:06:12,504
So they seem to be more advanced
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00:06:12,505 --> 00:06:15,006
than those kids
who are telling the truth,
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00:06:15,007 --> 00:06:18,476
which is totally
surprising to us.
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00:06:18,477 --> 00:06:22,814
Freeman: A good lie requires
forethought and self control.
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00:06:22,815 --> 00:06:26,718
Lee: You have to be able to plan
ahead what you are going to say
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00:06:26,719 --> 00:06:29,321
and how you are going to say it.
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00:06:29,322 --> 00:06:31,122
Freeman: In other words,
the onset of lying
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00:06:31,123 --> 00:06:34,527
is an important stage
in brain development.
133
00:06:37,096 --> 00:06:41,232
But why do we start lying as
soon as our brains are able to?
134
00:06:41,233 --> 00:06:45,170
Would we be better off
always telling the truth?
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00:06:45,171 --> 00:06:48,506
Lee: Some of them are actually
very good... prosocial lies.
136
00:06:48,507 --> 00:06:51,076
The reason
we tell white lies is because
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00:06:51,077 --> 00:06:55,112
we do not want
to hurt other people's feelings.
138
00:06:55,113 --> 00:06:58,548
Imagine I'm playing cards
with my friends.
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00:06:58,549 --> 00:07:02,252
At the same time, I really want
to watch my favorite TV show.
140
00:07:02,253 --> 00:07:03,420
What do I do?
141
00:07:03,421 --> 00:07:06,490
One way I can do it
is do it bluntly.
142
00:07:06,491 --> 00:07:09,826
My favorite TV show just came on
and, uh, so I have to go.
143
00:07:09,827 --> 00:07:11,930
Uh, thank...
Thank you, guys.
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00:07:11,931 --> 00:07:13,932
Bye bye.
145
00:07:13,933 --> 00:07:15,600
Nobody's gonna like you.
146
00:07:15,601 --> 00:07:18,269
Or you can do it differently.
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00:07:18,270 --> 00:07:21,439
You basically tell a white lie
by saying, "oh, you know,
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00:07:21,440 --> 00:07:23,509
I don't feel very good.
I have to lie down."
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00:07:23,510 --> 00:07:24,641
Sorry, guys.
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00:07:24,642 --> 00:07:26,244
I suddenly
don't feel very well.
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00:07:26,245 --> 00:07:27,913
I probably have to go in
and lie down.
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00:07:27,914 --> 00:07:29,213
Uh...
Oh, do you need water?
153
00:07:29,214 --> 00:07:31,817
So you really have to be able
to know when is the time
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00:07:31,818 --> 00:07:33,050
to tell the truth
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00:07:33,051 --> 00:07:36,723
and when is not a good time
to tell the truth.
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00:07:38,800 --> 00:07:43,135
A little white lie
doesn't hurt anyone.
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00:07:43,136 --> 00:07:47,840
But some people can't stop
twisting the truth, no matter
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00:07:47,841 --> 00:07:52,813
how damaging the consequences
to others or themselves.
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00:07:52,814 --> 00:07:57,818
For them,
dishonesty is a disease.
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00:07:57,819 --> 00:08:01,688
What separates
these pathological liars
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00:08:01,689 --> 00:08:04,758
from the rest of us?
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00:08:04,759 --> 00:08:07,828
Charles Ponzi began lying
to his investment clients
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00:08:07,829 --> 00:08:11,397
in the early 1900s,
and he couldn't stop,
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00:08:11,398 --> 00:08:16,102
even after he'd been to prison
three times for fraud.
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00:08:16,103 --> 00:08:19,039
18th century journalist
Daniel defoe
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00:08:19,040 --> 00:08:22,042
invented as many facts
as he reported
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00:08:22,043 --> 00:08:24,945
and did time for slander.
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00:08:24,946 --> 00:08:29,849
What drives some liars to reach
pathological levels of deceit?
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00:08:29,850 --> 00:08:32,886
That's what Yaling Yang,
a psychologist
170
00:08:32,887 --> 00:08:36,857
at children's hospital
Los Angeles, wants to find out.
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00:08:36,858 --> 00:08:40,961
We start to spot inconsistency
between their statement.
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00:08:40,962 --> 00:08:44,865
Even when they know
that we have other data,
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00:08:44,866 --> 00:08:47,567
including
official criminal records,
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00:08:47,568 --> 00:08:50,236
they still lie.
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00:08:50,237 --> 00:08:51,538
Freeman:
Yaling and her colleagues
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00:08:51,539 --> 00:08:53,640
wondered if there might be
physical differences
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00:08:53,641 --> 00:08:56,144
between the brains
of pathological liars
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00:08:56,145 --> 00:08:59,078
and the brains
of average people.
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00:08:59,079 --> 00:09:01,780
The brain stores
our memories and knowledge
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00:09:01,781 --> 00:09:03,884
in gray matter cells,
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00:09:03,885 --> 00:09:07,487
but another type of neuron,
the white matter cell,
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00:09:07,488 --> 00:09:12,092
creates connections
between all that information.
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00:09:12,093 --> 00:09:15,962
Whenever we tell a story,
whether it's true or not,
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00:09:15,963 --> 00:09:18,432
we have to gather details
from gray matter cells
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00:09:18,433 --> 00:09:20,636
in different parts of the brain.
186
00:09:23,338 --> 00:09:27,707
It's like gleaning information
from a series of books.
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00:09:27,708 --> 00:09:30,312
The books are the gray matter,
filled with the knowledge
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00:09:30,313 --> 00:09:33,914
that you need to fit together
into a compelling narrative.
189
00:09:33,915 --> 00:09:39,486
The aisles that lead from book
to book are the white matter.
190
00:09:39,487 --> 00:09:43,591
Imagine going to a bookstore
to get 10 different books
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00:09:43,592 --> 00:09:45,293
that are scattered
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00:09:45,294 --> 00:09:48,794
across different areas
of the bookstore.
193
00:09:48,795 --> 00:09:53,165
Having multiple pathways
that lead you to the books
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00:09:53,166 --> 00:09:58,071
will help you get to the books
more easily and quickly.
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00:09:58,072 --> 00:10:01,176
The human brain
works in a very similar fashion.
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00:10:01,177 --> 00:10:02,842
When you have more connections
197
00:10:02,843 --> 00:10:05,645
between various parts
of the brain, that will make it
198
00:10:05,646 --> 00:10:09,916
easier for you to retrieve
important information.
199
00:10:09,917 --> 00:10:11,885
Freeman:
For example, let's say a friend
200
00:10:11,886 --> 00:10:16,023
asks Yaling what she
had for dinner yesterday.
201
00:10:16,024 --> 00:10:17,457
To tell the truth,
202
00:10:17,458 --> 00:10:20,861
she only has to gather
a few pieces of information.
203
00:10:20,862 --> 00:10:24,063
She ate spaghetti
and a salad at home.
204
00:10:24,064 --> 00:10:26,199
But lying is harder.
205
00:10:26,200 --> 00:10:28,635
Yaling would have to
ignore the truth
206
00:10:28,636 --> 00:10:32,072
and cook up a story
about a five star restaurant
207
00:10:32,073 --> 00:10:33,874
and a six course meal,
208
00:10:33,875 --> 00:10:37,645
a special occasion
and expensive champagne.
209
00:10:37,646 --> 00:10:42,249
If she hesitates at any point,
her lie will be discovered.
210
00:10:42,250 --> 00:10:46,919
She needs good pathways so she
can race from topic to topic,
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00:10:46,920 --> 00:10:49,557
grabbing the information
she needs.
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00:10:54,628 --> 00:10:57,563
Since lying requires
a lot more information gathering
213
00:10:57,564 --> 00:10:59,031
than telling the truth,
214
00:10:59,032 --> 00:11:02,102
Yaling and her colleagues
conjectured that the brains
215
00:11:02,103 --> 00:11:07,140
of pathological liars might have
more white matter pathways.
216
00:11:07,141 --> 00:11:10,478
Brain scans proved them right.
217
00:11:13,981 --> 00:11:19,019
Liars have about 25% increase
in white matter
218
00:11:19,020 --> 00:11:22,222
compared to healthy individuals.
219
00:11:22,223 --> 00:11:26,492
So having more white matter
allows all this information
220
00:11:26,493 --> 00:11:33,132
to be retrieved and be used
in a much faster way.
221
00:11:33,133 --> 00:11:36,069
Freeman: Yaling also found
that pathological liars
222
00:11:36,070 --> 00:11:40,940
have 14% less gray matter
than average people.
223
00:11:40,941 --> 00:11:43,810
Gray matter stores our memories,
224
00:11:43,811 --> 00:11:46,712
but it also
has another function...
225
00:11:46,713 --> 00:11:50,451
It controls
our reckless impulses.
226
00:11:50,452 --> 00:11:53,020
Yang: Gray matter
plays a very important role
227
00:11:53,021 --> 00:11:55,356
in impulse control.
228
00:11:55,357 --> 00:11:58,826
So this kind of reduction
in gray matter
229
00:11:58,827 --> 00:12:02,594
is likely to contribute
to the lack of impulse control
230
00:12:02,595 --> 00:12:05,732
in pathological liars.
231
00:12:05,733 --> 00:12:09,068
Freeman: Pathological liars
can easily ruin their own lives,
232
00:12:09,069 --> 00:12:10,971
as well as others'.
233
00:12:10,972 --> 00:12:14,509
Perhaps now that we know more
about what makes them lie,
234
00:12:14,510 --> 00:12:18,111
we can develop therapies
to help them stop.
235
00:12:18,112 --> 00:12:19,813
Yang:
Without that information,
236
00:12:19,814 --> 00:12:23,382
it will be very difficult
to develop any kind
237
00:12:23,383 --> 00:12:29,655
of intervention or treatment
for this very damaging behavior.
238
00:12:29,656 --> 00:12:30,890
Freeman:
But isn't technology
239
00:12:30,891 --> 00:12:34,428
making it easier
for us to deceive one another?
240
00:12:34,429 --> 00:12:36,764
Is there a way
to tell what's true
241
00:12:36,765 --> 00:12:40,634
and what's not online?
242
00:12:40,635 --> 00:12:45,373
This information scientist
has developed a way to find out.
243
00:12:49,000 --> 00:12:53,537
Our modern devices appear
to make lying easier than ever.
244
00:12:53,538 --> 00:12:58,642
After all, no one can see us
behind a screen.
245
00:12:58,643 --> 00:13:03,314
Today's technology has
ushered in a new breed of lie.
246
00:13:03,315 --> 00:13:08,453
It's called digital deception.
247
00:13:08,454 --> 00:13:14,060
Is the information age
really the disinformation age?
248
00:13:15,226 --> 00:13:17,061
[ Keypad clicking ]
249
00:13:17,062 --> 00:13:21,099
Information scientist Jeff
Hancock at Cornell university
250
00:13:21,100 --> 00:13:24,701
is examining the differences
between high tech lies
251
00:13:24,702 --> 00:13:27,805
and the old standbys.
252
00:13:27,806 --> 00:13:30,608
If I wanted to call in sick,
in the old days,
253
00:13:30,609 --> 00:13:33,710
I'd need to psych myself up
and get my sick voice on.
254
00:13:33,711 --> 00:13:36,214
[ Telephone rings ]
255
00:13:36,215 --> 00:13:37,516
Yeah, hi.
[ Coughs ]
256
00:13:37,517 --> 00:13:39,017
I'm really sorry.
[ Coughs ]
257
00:13:39,018 --> 00:13:42,118
I'm...
I'm too sick to come in today.
258
00:13:42,119 --> 00:13:45,723
Yeah. [ Coughs ]
259
00:13:45,724 --> 00:13:49,094
Nowadays, we can type a message
about feeling sick,
260
00:13:49,095 --> 00:13:52,998
no voice, no vocal cues,
no nonverbal cues.
261
00:13:52,999 --> 00:13:57,301
Hit send, and my lie's done.
262
00:13:57,302 --> 00:14:00,271
Freeman: Some digital deceptions
have become so common
263
00:14:00,272 --> 00:14:03,273
that Jeff and his team
gave them names.
264
00:14:03,274 --> 00:14:04,975
Hancock: One of the things
we saw on text messages
265
00:14:04,976 --> 00:14:06,911
all the time was a lie
we call the Butler lie.
266
00:14:06,912 --> 00:14:08,947
[ Doorbell rings ]
267
00:14:11,582 --> 00:14:15,253
We used to have people
that would act as that buffer,
268
00:14:15,254 --> 00:14:17,589
and they would provide
that physical buffer
269
00:14:17,590 --> 00:14:22,727
between you and the world trying
to get in and talk to you.
270
00:14:22,728 --> 00:14:24,628
[ Cellphone chimes ]
271
00:14:24,629 --> 00:14:27,732
Freeman: Now we all
have digital butlers.
272
00:14:27,733 --> 00:14:30,002
Hancock: People say, "well,
I'm on my way," when, in fact,
273
00:14:30,003 --> 00:14:33,470
they're not, or, "my battery was
dead," because what we realized
274
00:14:33,471 --> 00:14:36,940
is they're providing a buffer
between that person
275
00:14:36,941 --> 00:14:41,711
and the fact that the world can
contact them pretty much 24/7.
276
00:14:41,712 --> 00:14:44,014
Freeman: Even though it makes us
easier to reach,
277
00:14:44,015 --> 00:14:48,353
the online world also
offers unprecedented anonymity.
278
00:14:48,354 --> 00:14:52,357
A new identity
is just a few keystrokes away.
279
00:14:52,358 --> 00:14:54,593
This leads
to a digital deception
280
00:14:54,594 --> 00:14:57,262
known as the sock puppet lie.
281
00:14:57,263 --> 00:14:59,699
Hancock: Sock puppet
is identity deception,
282
00:14:59,700 --> 00:15:01,364
where you have an alter ego
283
00:15:01,365 --> 00:15:02,868
that can say things
on your behalf
284
00:15:02,869 --> 00:15:04,637
without appearing like you.
285
00:15:06,839 --> 00:15:08,707
You're not Jeff Hancock,
are you?
286
00:15:08,708 --> 00:15:10,041
No.
Not me.
287
00:15:10,042 --> 00:15:11,743
Perfect, because I've got
this new book coming out,
288
00:15:11,744 --> 00:15:13,578
and I really
need a positive review.
289
00:15:13,579 --> 00:15:15,447
Could you help me out?
290
00:15:15,448 --> 00:15:17,147
Yeah.
Great, thanks.
291
00:15:17,148 --> 00:15:19,484
Freeman: It's no wonder
we have a hard time
292
00:15:19,485 --> 00:15:23,454
deciding what to believe
of all that we read online.
293
00:15:23,455 --> 00:15:26,423
Is it possible
to sort truth from lie?
294
00:15:26,424 --> 00:15:29,259
That's what Jeff
decided to find out.
295
00:15:29,260 --> 00:15:30,961
He started
by looking at something
296
00:15:30,962 --> 00:15:32,763
we've all wondered about...
297
00:15:32,764 --> 00:15:36,935
Those consumer reviews we see
when we shop online.
298
00:15:36,936 --> 00:15:41,004
Who writes those,
and can we trust them?
299
00:15:41,005 --> 00:15:43,508
The stakes are huge.
300
00:15:43,509 --> 00:15:47,177
Together, we spend
trillions of dollars worldwide
301
00:15:47,178 --> 00:15:52,182
on online sales every year.
302
00:15:52,183 --> 00:15:57,421
Jeff examined the hotel reviews
we use to plan our vacations.
303
00:15:57,422 --> 00:16:01,692
Should we really be relying
on the opinions of strangers?
304
00:16:01,693 --> 00:16:03,661
We had people write fake reviews
for us,
305
00:16:03,662 --> 00:16:04,796
and we paid for them.
306
00:16:04,797 --> 00:16:06,098
We knew they were fake.
307
00:16:06,099 --> 00:16:08,233
We compared them to ones
that were real.
308
00:16:08,234 --> 00:16:09,767
So we took them
from the verified sites,
309
00:16:09,768 --> 00:16:13,171
and we looked at linguistic
patterns and how they differed.
310
00:16:13,172 --> 00:16:15,006
Freeman:
If he'd actually been there,
311
00:16:15,007 --> 00:16:18,343
Jeff would write about the hotel
in a certain way.
312
00:16:18,344 --> 00:16:20,978
He would know about every detail
of the room.
313
00:16:20,979 --> 00:16:23,549
Hancock: A real reviewer
will have a sense
314
00:16:23,550 --> 00:16:25,583
of what the beds are like
and the bathroom.
315
00:16:25,584 --> 00:16:28,017
Is it clean,
is the shower small or not?
316
00:16:28,018 --> 00:16:31,522
That sort of thing, since
they've experienced the space,
317
00:16:31,523 --> 00:16:33,425
their bodies moved through it.
318
00:16:33,426 --> 00:16:36,960
Freeman: But if Jeff
had never been to the hotel...
319
00:16:36,961 --> 00:16:39,696
He wouldn't know
if there was mold in the shower
320
00:16:39,697 --> 00:16:42,734
or if the Internet service
was slow.
321
00:16:42,735 --> 00:16:45,269
So he'd have to write
about something else,
322
00:16:45,270 --> 00:16:47,739
something made up.
323
00:16:47,740 --> 00:16:51,108
Hancock:
Now, me writing a fake review here in my home with my computer
324
00:16:51,109 --> 00:16:53,009
is completely different.
325
00:16:53,010 --> 00:16:54,812
When a fake reviewer
has to write about something,
326
00:16:54,813 --> 00:16:56,480
they're going into storytelling.
327
00:16:56,481 --> 00:16:58,548
We were on business.
328
00:16:58,549 --> 00:17:01,453
So they'll tell stories
about who they were with,
329
00:17:01,454 --> 00:17:02,787
what they were
supposed to be doing.
330
00:17:02,788 --> 00:17:04,721
They're trying
to convince people.
331
00:17:04,722 --> 00:17:06,958
Freeman: Jeff and his team
compared the fake reviews
332
00:17:06,959 --> 00:17:10,894
they had paid for
with the verified truthful ones.
333
00:17:10,895 --> 00:17:13,931
Then, they developed
a truth or lie algorithm
334
00:17:13,932 --> 00:17:18,435
that zeroes in on telltale words
and phrases.
335
00:17:18,436 --> 00:17:20,604
Hancock:
See here that ones that are true
336
00:17:20,605 --> 00:17:23,473
are things like,
"rooms were large,"
337
00:17:23,474 --> 00:17:27,044
and, "they were more expensive,"
whereas,
338
00:17:27,045 --> 00:17:28,546
over on the deceptive one,
339
00:17:28,547 --> 00:17:30,713
we can see people
talking about themselves.
340
00:17:30,714 --> 00:17:32,083
"I had a reservation."
341
00:17:32,084 --> 00:17:33,851
Lot of instances of "i."
342
00:17:33,852 --> 00:17:35,454
Freeman:
Jeff has developed
343
00:17:35,455 --> 00:17:39,123
keyword algorithms
for other products and services
344
00:17:39,124 --> 00:17:42,727
and discovered
some surprising results.
345
00:17:42,728 --> 00:17:45,028
People tend to think
most reviews are fake,
346
00:17:45,029 --> 00:17:47,164
and our estimation is
that it's much lower than that.
347
00:17:47,165 --> 00:17:50,101
Like,
maybe 5% to 10% are fake.
348
00:17:50,102 --> 00:17:53,871
Freeman: So online reviews
are pretty reliable.
349
00:17:53,872 --> 00:17:57,042
What about digital
communications in general?
350
00:17:57,043 --> 00:18:00,077
Do we use our gadgets
to lie more or less
351
00:18:00,078 --> 00:18:03,114
than in old fashioned
face to face talks?
352
00:18:03,115 --> 00:18:04,515
Things like e mail,
353
00:18:04,516 --> 00:18:07,485
there's actually a lot
less lying than people expect.
354
00:18:07,486 --> 00:18:10,121
The main reason, I think,
is that there's a record.
355
00:18:10,122 --> 00:18:14,459
We evolved to talk
and have it disappear,
356
00:18:14,460 --> 00:18:17,694
and now
we're in a radically new era.
357
00:18:17,695 --> 00:18:19,130
If I write you an e mail,
358
00:18:19,131 --> 00:18:21,364
not only have I created
a record for myself,
359
00:18:21,365 --> 00:18:23,433
I've given you a record.
360
00:18:23,434 --> 00:18:25,102
That record can be copied.
361
00:18:25,103 --> 00:18:27,304
It can be searched.
It can be shared.
362
00:18:27,305 --> 00:18:30,042
And so telling a lie
in a digital format
363
00:18:30,043 --> 00:18:34,045
comes with substantial risks
that we've never,
364
00:18:34,046 --> 00:18:38,315
as a set of communicators,
ever had to worry about before.
365
00:18:38,316 --> 00:18:41,251
Freeman: Jeff found
a little more lying in texting,
366
00:18:41,252 --> 00:18:44,921
which we use for more informal
communication than e mail.
367
00:18:44,922 --> 00:18:48,325
And as soon
as the written words disappear,
368
00:18:48,326 --> 00:18:51,162
more lies reappear.
369
00:18:51,163 --> 00:18:53,331
What we find is that
it's the phone
370
00:18:53,332 --> 00:18:54,898
where people lie a lot.
371
00:18:54,899 --> 00:18:56,267
That's... every study,
372
00:18:56,268 --> 00:18:59,103
it's always on the phone
where you see the most lies.
373
00:18:59,104 --> 00:19:00,938
Freeman:
According to Jeff,
374
00:19:00,939 --> 00:19:04,675
we lie the most when we ditch
our gadgets altogether
375
00:19:04,676 --> 00:19:07,444
and talk to each other
face to face.
376
00:19:07,445 --> 00:19:08,845
Why?
377
00:19:08,846 --> 00:19:14,152
Perhaps because we are
really bad at spotting lies.
378
00:19:14,153 --> 00:19:18,958
But a new device may help us
catch a liar every time.
379
00:19:21,000 --> 00:19:23,568
Think you can spot a liar?
380
00:19:23,569 --> 00:19:26,372
Oh, you may look
for certain tells,
381
00:19:26,373 --> 00:19:32,879
facial expression, unusual tone
of voice, awkward body language.
382
00:19:32,880 --> 00:19:35,716
But let's not kid ourselves,
folks.
383
00:19:35,717 --> 00:19:39,686
It can be hard to tell
if someone is lying.
384
00:19:39,687 --> 00:19:43,256
Could technology restore truth
to the expression,
385
00:19:43,257 --> 00:19:46,161
"the eyes
are the window to the soul"?
386
00:19:51,364 --> 00:19:54,933
This university of Utah student
is looking to swipe some money
387
00:19:54,934 --> 00:19:58,138
from a campus office.
388
00:19:58,139 --> 00:20:01,307
And he just found his chance.
389
00:20:01,308 --> 00:20:03,375
He's not worried
about throwing away his future
390
00:20:03,376 --> 00:20:05,245
for a measly 20 bucks...
391
00:20:07,047 --> 00:20:10,616
...because it's all part of a
"mission: Impossible" experiment
392
00:20:10,617 --> 00:20:15,189
dreamed up by
psychophysiologist John Kircher.
393
00:20:15,190 --> 00:20:19,226
John has spent the last 30 years
studying lies,
394
00:20:19,227 --> 00:20:22,594
and this experiment
is designed to test a device
395
00:20:22,595 --> 00:20:26,900
that may one day
make lying impossible.
396
00:20:26,901 --> 00:20:30,303
Today,
there are two test subjects.
397
00:20:30,304 --> 00:20:32,038
John doesn't know if one,
398
00:20:32,039 --> 00:20:36,543
both, or neither of them
will steal any money.
399
00:20:36,544 --> 00:20:40,012
The subject receives
secret agent style instructions,
400
00:20:40,013 --> 00:20:41,613
a mysterious envelope,
401
00:20:41,614 --> 00:20:45,285
and directions
from a computerized voice.
402
00:20:45,286 --> 00:20:48,654
You are an innocent participant
in this experiment.
403
00:20:48,655 --> 00:20:51,524
Please wait outside
the building for 20 minutes
404
00:20:51,525 --> 00:20:55,260
before returning to the lab.
405
00:20:55,261 --> 00:21:00,766
The other student receives
a diabolical assignment.
406
00:21:00,767 --> 00:21:03,736
You must steal $20
from the purse.
407
00:21:03,737 --> 00:21:06,006
You must have
an alibi prepared.
408
00:21:06,007 --> 00:21:09,574
You will not receive
full credit if you are caught.
409
00:21:09,575 --> 00:21:13,947
They get instructions
to go to a different building,
410
00:21:13,948 --> 00:21:16,349
to go to a secretary's office
411
00:21:16,350 --> 00:21:19,952
and ask her
where Dr. Mitchell's office is,
412
00:21:19,953 --> 00:21:23,622
and she'll reply
that there's no Dr. Mitchell
413
00:21:23,623 --> 00:21:27,693
or that they should
check with the Dean's office.
414
00:21:27,694 --> 00:21:30,563
Freeman: The secretary
is in on the caper.
415
00:21:30,564 --> 00:21:33,466
She's been instructed
to leave her office unattended
416
00:21:33,467 --> 00:21:34,535
for a few minutes
417
00:21:34,536 --> 00:21:38,872
after the student
asks for Dr. Mitchell.
418
00:21:38,873 --> 00:21:41,474
Kircher: We tried to set this up
like a "mission: Impossible"
419
00:21:41,475 --> 00:21:44,544
scenario
to get the subject engaged
420
00:21:44,545 --> 00:21:47,747
and apprehensive
about what they're doing.
421
00:21:47,748 --> 00:21:51,418
Those effects reproduce
the kinds of things that we see
422
00:21:51,419 --> 00:21:56,055
in field situations
with actual criminal suspects.
423
00:21:56,056 --> 00:21:58,491
Take a seat
right over here.
424
00:21:58,492 --> 00:22:01,827
Freeman: Now for the moment
of truth or lies.
425
00:22:01,828 --> 00:22:05,798
The ocular deception test
begins.
426
00:22:05,799 --> 00:22:07,167
The subjects answer
427
00:22:07,168 --> 00:22:10,602
identical true or false
questions about general topics
428
00:22:10,603 --> 00:22:13,539
and about the crime.
429
00:22:13,540 --> 00:22:16,776
Below the screen
is John's device...
430
00:22:16,777 --> 00:22:21,179
An infrared eye tracker able
to spot microscopic dilations
431
00:22:21,180 --> 00:22:24,284
and contractions of the pupils.
432
00:22:24,285 --> 00:22:28,420
The changes that we're seeing
in the size of the pupil
433
00:22:28,421 --> 00:22:29,689
are very tiny.
434
00:22:29,690 --> 00:22:32,491
They're less than
1/10 of a millimeter,
435
00:22:32,492 --> 00:22:36,897
but with a computer,
we can get a clear indication
436
00:22:36,898 --> 00:22:40,201
that the pupil is dilating
when a person is deceptive.
437
00:22:45,838 --> 00:22:48,941
The subject looks like they
didn't have a difficult time
438
00:22:48,942 --> 00:22:50,243
answering these questions,
439
00:22:50,244 --> 00:22:51,744
and the pupil data
440
00:22:51,745 --> 00:22:56,181
look like we would expect
from a truthful individual.
441
00:22:56,182 --> 00:22:58,083
Freeman:
Did the thief's pupils dilate
442
00:22:58,084 --> 00:23:00,755
when answering
the same questions?
443
00:23:05,058 --> 00:23:07,360
Kircher: They're showing
stronger reactions
444
00:23:07,361 --> 00:23:09,762
to the questions about the $20,
445
00:23:09,763 --> 00:23:13,401
so I'd say there's a good chance
the subject's in a guilty group.
446
00:23:19,407 --> 00:23:22,108
Freeman:
Sure enough, John is right.
447
00:23:22,109 --> 00:23:24,078
The female subject was innocent
448
00:23:24,079 --> 00:23:27,047
and the male subject
had to give back the 20 bucks.
449
00:23:28,582 --> 00:23:34,253
But how did pupil dilation
help John catch the thief?
450
00:23:34,254 --> 00:23:36,156
John knows that when our brains
451
00:23:36,157 --> 00:23:38,525
go into overdrive
with mental effort,
452
00:23:38,526 --> 00:23:41,361
our pupils dilate involuntarily.
453
00:23:41,362 --> 00:23:43,196
And since deception
454
00:23:43,197 --> 00:23:45,898
is more complicated
than telling the truth,
455
00:23:45,899 --> 00:23:49,102
the male student's brain
had to work harder.
456
00:23:49,103 --> 00:23:52,738
He couldn't hide his lying eyes.
457
00:23:52,739 --> 00:23:57,977
John's ocular deception device
is already 85% accurate.
458
00:23:57,978 --> 00:24:01,013
That's as good
as the best polygraph results.
459
00:24:01,014 --> 00:24:04,885
But while people can be trained
to beat polygraph tests,
460
00:24:04,886 --> 00:24:08,354
pupil dilation is involuntary.
461
00:24:08,355 --> 00:24:10,789
And as technology improves,
462
00:24:10,790 --> 00:24:14,393
the accuracy of John's
lie detector will, too.
463
00:24:14,394 --> 00:24:16,629
Kircher: With better
eye tracking technology,
464
00:24:16,630 --> 00:24:20,401
we'll get better measures
of pupil change.
465
00:24:22,669 --> 00:24:25,103
Freeman: That means the accuracy
of John's device
466
00:24:25,104 --> 00:24:28,675
could one day reach 100%.
467
00:24:28,676 --> 00:24:31,677
Imagine a future
where a person with a cellphone
468
00:24:31,678 --> 00:24:35,281
or smart eyewear
could use a miniaturized version
469
00:24:35,282 --> 00:24:38,785
of John's device
on anyone they're talking to...
470
00:24:38,786 --> 00:24:42,488
Husband and wife,
parent and child,
471
00:24:42,489 --> 00:24:44,524
worker and boss.
472
00:24:44,525 --> 00:24:46,659
Would the whole truth
and nothing but the truth
473
00:24:46,660 --> 00:24:51,564
bring us closer together
or tear us apart?
474
00:24:51,565 --> 00:24:53,999
According to
this cognitive scientist,
475
00:24:54,000 --> 00:24:56,335
knowing the real truth
about the world around us
476
00:24:56,336 --> 00:24:59,139
would simply blow our minds.
477
00:24:59,140 --> 00:25:04,075
What we think of as reality
is just a series of illusions.
478
00:25:04,076 --> 00:25:08,281
Why are our brains
and senses so easily fooled?
479
00:25:08,282 --> 00:25:09,449
Wow.
480
00:25:12,000 --> 00:25:15,368
We rely on our senses
to make sense of our world.
481
00:25:15,369 --> 00:25:18,538
That's why it's so unsettling
when they fail us.
482
00:25:18,539 --> 00:25:22,375
We can't trust our ability
to see the truth.
483
00:25:22,376 --> 00:25:24,310
And even if we could...
484
00:25:24,311 --> 00:25:25,979
[ Telephone rings ]
485
00:25:25,980 --> 00:25:27,847
...could we handle it?
486
00:25:27,848 --> 00:25:30,151
Hello?
487
00:25:30,152 --> 00:25:33,320
Hello?
488
00:25:33,321 --> 00:25:35,055
Hello?
489
00:25:35,056 --> 00:25:39,559
I'm Don Hoffman...
As far as I can tell.
490
00:25:39,560 --> 00:25:42,997
Freeman: UC Irvine
cognitive scientist Don Hoffman
491
00:25:42,998 --> 00:25:45,965
thinks that anyone
who believes our senses
492
00:25:45,966 --> 00:25:50,304
are designed to show what's
the truth has got it all wrong.
493
00:25:50,305 --> 00:25:52,606
He enjoys proving his point
494
00:25:52,607 --> 00:25:56,375
by finding new ways
to fool the senses.
495
00:25:56,376 --> 00:25:58,511
I'm about to eat
this very tart lemon,
496
00:25:58,512 --> 00:26:00,948
which normally doesn't sound
like a good idea,
497
00:26:00,949 --> 00:26:05,952
but before I do, I'm going
to first eat this miracle berry
498
00:26:05,953 --> 00:26:07,955
from west Africa.
499
00:26:10,024 --> 00:26:12,626
It releases something
called miraculin,
500
00:26:12,627 --> 00:26:15,761
a chemical that binds to the
sweet receptors on my tongue.
501
00:26:15,762 --> 00:26:19,366
And what it's supposed to do is,
when the acid from the lemon
502
00:26:19,367 --> 00:26:22,603
binds to the miraculin,
it triggers my sweet receptors
503
00:26:22,604 --> 00:26:24,904
to give me an illusion
of a sweet taste.
504
00:26:24,905 --> 00:26:26,573
Let's see it really works.
505
00:26:26,574 --> 00:26:30,645
So I'll take the berry out,
and we'll cut this lemon.
506
00:26:34,115 --> 00:26:36,117
And the moment of truth.
507
00:26:38,986 --> 00:26:40,921
Wow.
508
00:26:40,922 --> 00:26:42,722
That does taste sweet.
509
00:26:42,723 --> 00:26:44,391
I've never tasted a lemon
like that before.
510
00:26:44,392 --> 00:26:46,161
That is really good.
[ Chuckles ]
511
00:26:49,597 --> 00:26:51,932
Freeman: don has identified
plenty of ways our senses
512
00:26:51,933 --> 00:26:56,037
and brains
misconstrue the world around us.
513
00:26:56,038 --> 00:27:01,375
Surely, we think, our sense
of touch could never be wrong.
514
00:27:01,376 --> 00:27:05,145
With touch, we feel like we're
in direct contact with reality
515
00:27:05,146 --> 00:27:06,512
as it really is.
516
00:27:06,513 --> 00:27:11,183
Well, if you tap the shoulder
and then tap the elbow
517
00:27:11,184 --> 00:27:13,386
and then tap the wrist and you
do the timing just right,
518
00:27:13,387 --> 00:27:15,455
what a person will feel
is tapping between.
519
00:27:15,456 --> 00:27:18,693
So you feel a tap here and a tap
here, tap there, a tap there.
520
00:27:18,694 --> 00:27:22,362
And it'll feel like there's some
animal running down your arm.
521
00:27:22,363 --> 00:27:25,166
The brain is saying,
"what is the best story
522
00:27:25,167 --> 00:27:27,000
about the world
that I could come up with?"
523
00:27:27,001 --> 00:27:28,969
And the best story
that it comes up with is, "well,
524
00:27:28,970 --> 00:27:31,838
there's probably something
crawling down my arm."
525
00:27:31,839 --> 00:27:33,539
Freeman:
With such limited senses,
526
00:27:33,540 --> 00:27:35,508
the unfiltered truth
of the world
527
00:27:35,509 --> 00:27:39,846
never reaches our brains,
so we're forced to use stories
528
00:27:39,847 --> 00:27:44,416
or preconceived rules
about how reality should be.
529
00:27:44,417 --> 00:27:47,687
But once you're constructing
reality based on rules,
530
00:27:47,688 --> 00:27:50,458
if something
doesn't match your assumptions,
531
00:27:50,459 --> 00:27:53,427
we construct things
that aren't really there.
532
00:27:53,428 --> 00:27:57,964
Freeman: Each of our eyes
can only take in a 2 d image.
533
00:27:57,965 --> 00:28:02,336
It's our brains that create
a 3 d view of the world.
534
00:28:02,337 --> 00:28:04,037
There's gradients and shading,
535
00:28:04,038 --> 00:28:07,473
so as you go from light
to dark and dark to light,
536
00:28:07,474 --> 00:28:09,375
the visual system
automatically interprets that
537
00:28:09,376 --> 00:28:12,045
in terms
of three dimensional shapes.
538
00:28:12,046 --> 00:28:13,782
As you see things
like railroad tracks
539
00:28:13,783 --> 00:28:15,115
converging in the distance,
540
00:28:15,116 --> 00:28:17,953
you'll actually give
a depth interpretation to that.
541
00:28:18,752 --> 00:28:20,654
Ah!
542
00:28:20,655 --> 00:28:23,856
Freeman: don's radical
conclusion is that our senses
543
00:28:23,857 --> 00:28:26,227
aren't intended
to see the truth of reality.
544
00:28:26,228 --> 00:28:31,530
Our senses do just enough to
help us find mates, find food,
545
00:28:31,531 --> 00:28:35,568
and avoid becoming
someone else's food.
546
00:28:35,569 --> 00:28:37,136
Hoffman:
It's the perceptual systems
547
00:28:37,137 --> 00:28:40,673
that allow you to stay alive
long enough to reproduce.
548
00:28:40,674 --> 00:28:42,710
Those are the ones
whose genes get passed on
549
00:28:42,711 --> 00:28:43,777
to the next generation.
550
00:28:43,778 --> 00:28:45,947
So, in that sense,
it's quite clear.
551
00:28:45,948 --> 00:28:47,914
Perception
and evolution of perception
552
00:28:47,915 --> 00:28:51,818
is about having kids,
not about the truth.
553
00:28:51,819 --> 00:28:54,587
Freeman: Every creature on earth
develops only the senses
554
00:28:54,588 --> 00:28:58,625
it needs to survive
and reproduce.
555
00:28:58,626 --> 00:29:01,228
This region used to be
a much bigger wetland
556
00:29:01,229 --> 00:29:03,763
with millions of frogs.
557
00:29:03,764 --> 00:29:07,334
Freeman:
This is how researchers believe the world looks to a frog.
558
00:29:07,335 --> 00:29:08,702
If things aren't moving,
559
00:29:08,703 --> 00:29:10,637
the frog pretty much
either doesn't see them
560
00:29:10,638 --> 00:29:13,272
or is programmed to ignore them.
561
00:29:13,273 --> 00:29:17,210
Freeman:
Luckily for the frog, it's great at detecting small objects
562
00:29:17,211 --> 00:29:19,246
flying around close enough
to its tongue
563
00:29:19,247 --> 00:29:21,749
to become a tasty meal.
564
00:29:21,750 --> 00:29:27,121
We can see stationary objects
that a frog can't,
565
00:29:27,122 --> 00:29:31,691
but we don't see all the colors
that a butterfly does,
566
00:29:31,692 --> 00:29:35,228
and we can't hear
every frequency of sound
567
00:29:35,229 --> 00:29:37,731
that a bat can,
568
00:29:37,732 --> 00:29:43,337
which begs the question,
what is the world really like?
569
00:29:43,338 --> 00:29:45,706
What are we not seeing?
570
00:29:48,309 --> 00:29:51,144
Imagine a color
you've never experienced before.
571
00:29:51,145 --> 00:29:52,345
Nothing happens.
572
00:29:52,346 --> 00:29:53,712
If we can't even do that,
573
00:29:53,713 --> 00:29:56,282
just one new color that
you've never experienced before,
574
00:29:56,283 --> 00:29:57,750
we're really in the dark
575
00:29:57,751 --> 00:30:03,190
about what the full complexity
of objective reality might be.
576
00:30:03,191 --> 00:30:08,561
So our senses are this wonderful
window on the world,
577
00:30:08,562 --> 00:30:12,266
but they're also a prison that
we really can't see outside of.
578
00:30:14,836 --> 00:30:18,838
We can't necessarily
trust our senses,
579
00:30:18,839 --> 00:30:23,876
but even if we only grasp
a simplified version of reality,
580
00:30:23,877 --> 00:30:25,479
surely, our memories
581
00:30:25,480 --> 00:30:30,150
can keep track
of where and when things happen.
582
00:30:30,151 --> 00:30:34,186
Or that's what we thought.
583
00:30:34,187 --> 00:30:36,256
New research suggests
584
00:30:36,257 --> 00:30:41,530
that our brains trick us
into misremembering the truth.
585
00:30:52,000 --> 00:30:54,367
We can't possibly
remember every single thing
586
00:30:54,368 --> 00:30:56,203
that happens to us,
587
00:30:56,204 --> 00:30:59,239
but we trust the memories
we do retain.
588
00:30:59,240 --> 00:31:02,909
We remember every detail
about the birth of a child.
589
00:31:02,910 --> 00:31:08,014
We know where we had a special
meal and whom we were with.
590
00:31:08,015 --> 00:31:12,251
But what if some
of those memories aren't real?
591
00:31:12,252 --> 00:31:15,021
What if we invented them?
592
00:31:15,022 --> 00:31:20,061
Or...
Someone else implanted them?
593
00:31:23,197 --> 00:31:26,631
This is Susumu Tonegawa's
favorite spot
594
00:31:26,632 --> 00:31:29,469
to enjoy a cup of coffee.
595
00:31:29,470 --> 00:31:33,373
And sitting here also reminds
the M.I.T. scientist of the time
596
00:31:33,374 --> 00:31:37,011
two cars slammed into each other
just a few feet away.
597
00:31:41,048 --> 00:31:44,184
He mentions the accident
to his friend,
598
00:31:44,185 --> 00:31:48,053
but his friend
remembers it differently.
599
00:31:48,054 --> 00:31:49,821
I had an argument
with my friend,
600
00:31:49,822 --> 00:31:51,190
that he said, "no, no, no.
601
00:31:51,191 --> 00:31:53,728
Actually, car accident
happened in front of our lab."
602
00:31:53,729 --> 00:31:55,762
[ Crash ]
603
00:31:59,832 --> 00:32:03,770
Freeman: Susumu thought,
"no, that can't be right."
604
00:32:03,771 --> 00:32:09,541
But I insisted accident happened
in front of coffee shop.
605
00:32:09,542 --> 00:32:13,646
Freeman: And then,
he realized his mistake.
606
00:32:13,647 --> 00:32:15,883
I was thinking
of the conversation
607
00:32:15,884 --> 00:32:19,319
I was having with my friend,
drinking a coffee,
608
00:32:19,320 --> 00:32:22,356
when actually, car accident
happened in front of our lab.
609
00:32:22,357 --> 00:32:23,588
[ Crash ]
610
00:32:23,589 --> 00:32:26,059
Freeman: He and his friend
were in front of the lab
611
00:32:26,060 --> 00:32:27,961
when the cars collided,
612
00:32:27,962 --> 00:32:31,164
but his mind was on one
of their previous conversations
613
00:32:31,165 --> 00:32:32,765
at the coffee shop.
614
00:32:32,766 --> 00:32:36,836
Susumu's brain mistakenly
combined the two locations
615
00:32:36,837 --> 00:32:42,175
and created a new memory
that is actually false.
616
00:32:42,176 --> 00:32:44,277
As a Nobel laureate
and a scientist
617
00:32:44,278 --> 00:32:47,448
who's devoted three decades
to understanding memory,
618
00:32:47,449 --> 00:32:52,217
Susumu wanted to know
how this could happen.
619
00:32:52,218 --> 00:32:55,021
He and his team decided to look
for physical evidence
620
00:32:55,022 --> 00:32:58,424
of false memories being formed.
621
00:32:58,425 --> 00:33:03,429
In the brain,
the area called the hippocampus
622
00:33:03,430 --> 00:33:07,733
plays a very crucial role
in these types of memory.
623
00:33:07,734 --> 00:33:11,337
If you have impairment
in the hippocampus,
624
00:33:11,338 --> 00:33:18,078
then you cannot form memory
of episode very well.
625
00:33:18,079 --> 00:33:20,914
Freeman: Susumu's research
centers on the physical changes
626
00:33:20,915 --> 00:33:24,618
in the hippocampus
when an episodic memory forms.
627
00:33:27,253 --> 00:33:31,089
When we experience something,
like witnessing a car accident,
628
00:33:31,090 --> 00:33:34,159
it biochemically changes
a small group of neurons
629
00:33:34,160 --> 00:33:36,361
in the hippocampus.
630
00:33:36,362 --> 00:33:40,733
Neuroscientists call
that changed group an engram.
631
00:33:40,734 --> 00:33:45,571
It is a physical trace
of the stored memory.
632
00:33:45,572 --> 00:33:49,009
That stored memory is sometimes
triggered when we see something
633
00:33:49,010 --> 00:33:51,845
that's new but similar.
634
00:33:51,846 --> 00:33:56,049
A lone, majestic pine tree may
remind us of our first glimpse
635
00:33:56,050 --> 00:34:00,419
of the Eiffel Tower
during a vacation years ago.
636
00:34:00,420 --> 00:34:02,621
Susumu found
that when old memories
637
00:34:02,622 --> 00:34:05,458
are activated
by new experiences,
638
00:34:05,459 --> 00:34:08,360
both can become confused.
639
00:34:08,361 --> 00:34:11,130
Sometimes, the neurons
of the old memory engram
640
00:34:11,131 --> 00:34:15,034
become physically linked
to the recently formed engram.
641
00:34:15,035 --> 00:34:17,070
The result is a false memory
642
00:34:17,071 --> 00:34:22,607
that mistakenly combines
two events.
643
00:34:22,608 --> 00:34:25,378
That got Susumu
and his colleagues wondering,
644
00:34:25,379 --> 00:34:30,516
is it possible to intentionally
create false memories?
645
00:34:30,517 --> 00:34:35,423
They devised an experiment
with a mouse and two chambers.
646
00:34:50,271 --> 00:34:53,739
Freeman:
The mouse forms separate memories for each location.
647
00:34:53,740 --> 00:34:56,275
For example,
chamber b has a wire floor,
648
00:34:56,276 --> 00:34:58,411
and chamber a does not.
649
00:34:58,412 --> 00:35:01,380
Susumu then sets about
locating each memory
650
00:35:01,381 --> 00:35:03,216
in the mouse's brain.
651
00:35:05,419 --> 00:35:07,420
The mouse has a series
652
00:35:07,421 --> 00:35:11,757
of tiny wires monitoring
activity in its brain.
653
00:35:11,758 --> 00:35:14,259
When he places the mouse
in chamber a,
654
00:35:14,260 --> 00:35:18,498
Susumu can pinpoint the location
of the chamber a memory.
655
00:35:18,499 --> 00:35:21,099
But the wires
can also stimulate neurons
656
00:35:21,100 --> 00:35:24,770
to respond by emitting
small pulses of light.
657
00:35:24,771 --> 00:35:28,609
So whenever Susumu shines
a light on those same neurons,
658
00:35:28,610 --> 00:35:32,779
he can activate the mouse's
memory of being in chamber a.
659
00:35:32,780 --> 00:35:35,614
Once the mouse has formed
a memory of chamber a,
660
00:35:35,615 --> 00:35:39,117
it's placed
in the wire floored chamber b.
661
00:35:39,118 --> 00:35:42,088
Susumu is ready
to create the false memory.
662
00:35:54,001 --> 00:35:58,436
The shock is harmless
but startling.
663
00:35:58,437 --> 00:36:00,139
Since the chamber a memory
664
00:36:00,140 --> 00:36:04,509
is activated while the mouse
receives the shock in chamber b,
665
00:36:04,510 --> 00:36:09,581
it creates an association
between chamber a and the shock.
666
00:36:09,582 --> 00:36:10,815
And sure enough,
667
00:36:10,816 --> 00:36:13,719
when Susumu places the mouse
back in chamber a,
668
00:36:13,720 --> 00:36:16,322
it suddenly freezes in fear.
669
00:36:16,323 --> 00:36:17,857
Even with no wire floor,
670
00:36:17,858 --> 00:36:20,659
the mouse
acts like it might get a shock.
671
00:36:20,660 --> 00:36:22,695
It now possesses a false memory
672
00:36:22,696 --> 00:36:27,232
of being shocked in the chamber
where no shock ever happened.
673
00:36:27,233 --> 00:36:29,002
Susumu and his colleagues
674
00:36:29,003 --> 00:36:33,271
have successfully inserted
false memories into mice.
675
00:36:33,272 --> 00:36:37,576
Does this mean the same thing
could be done to people?
676
00:36:37,577 --> 00:36:39,913
What is science fiction today
677
00:36:39,914 --> 00:36:43,248
may not be science fiction
in 50 years.
678
00:36:43,249 --> 00:36:46,052
Human brain much bigger
than mouse brain,
679
00:36:46,053 --> 00:36:50,288
but theoretically,
it's possible.
680
00:36:50,289 --> 00:36:53,826
Freeman: So if we can't trust
our memories, our senses,
681
00:36:53,827 --> 00:36:55,561
or each other,
682
00:36:55,562 --> 00:36:59,299
is there any such thing
as an ultimate truth?
683
00:36:59,300 --> 00:37:03,402
This physicist is looking for
answers in the quantum world.
684
00:37:03,403 --> 00:37:08,174
He is finding that the notion
of truth keeps getting curiouser
685
00:37:08,175 --> 00:37:10,343
and curiouser.
686
00:37:13,900 --> 00:37:16,935
Truth is hard to find
in the human world.
687
00:37:16,936 --> 00:37:20,406
Our brains are wired for lying.
688
00:37:20,407 --> 00:37:23,341
We remember events
that never happened.
689
00:37:23,342 --> 00:37:25,544
And our senses
690
00:37:25,545 --> 00:37:29,916
don't perceive the reality
of the world around us.
691
00:37:32,400 --> 00:37:35,167
But surely if we use the tools
of science
692
00:37:35,168 --> 00:37:38,705
to examine the fundamental
nature of reality,
693
00:37:38,706 --> 00:37:43,176
we can see the ultimate truth.
694
00:37:43,177 --> 00:37:49,850
Unless the universe itself
lies to us.
695
00:37:49,851 --> 00:37:54,254
I am Jeff Tollaksen,
and that's the truth.
696
00:37:54,255 --> 00:37:56,556
Freeman:
Jeff Tollaksen, a physicist
697
00:37:56,557 --> 00:38:00,192
at Chapman university
in Southern California,
698
00:38:00,193 --> 00:38:03,464
has taken many trips
into the quantum world.
699
00:38:03,465 --> 00:38:06,766
There are a million,
million, billion atoms
700
00:38:06,767 --> 00:38:09,136
in each individual
grain of sand.
701
00:38:09,137 --> 00:38:10,737
But when we are talking about
the quantum world,
702
00:38:10,738 --> 00:38:14,174
we mean even smaller pieces of
matter that make up the atoms.
703
00:38:14,175 --> 00:38:17,076
The protons, the neutrons,
and the electrons...
704
00:38:17,077 --> 00:38:19,179
They make up everything
in the entire universe,
705
00:38:19,180 --> 00:38:21,748
including us.
706
00:38:21,749 --> 00:38:26,286
Freeman:
Jeff knows that the basic building blocks of existence
707
00:38:26,287 --> 00:38:29,556
don't follow basic rules.
708
00:38:29,557 --> 00:38:32,292
Tollaksen: Take,
for instance, the electron.
709
00:38:32,293 --> 00:38:33,893
The laws of the quantum world
710
00:38:33,894 --> 00:38:36,596
suggest that things can be
at many different places
711
00:38:36,597 --> 00:38:38,031
at the same time.
712
00:38:38,032 --> 00:38:43,303
They also forbid us from knowing
everything about the electron.
713
00:38:43,304 --> 00:38:45,571
It's a bit like
looking at a hummingbird.
714
00:38:45,572 --> 00:38:49,143
Its wings are moving so fast
that they appear as just a blur.
715
00:38:49,144 --> 00:38:51,779
But if I take a photo
of the hummingbird,
716
00:38:51,780 --> 00:38:54,047
I can learn one of two things.
717
00:38:54,048 --> 00:38:56,351
If I set it
to a high shutter speed...
718
00:38:59,153 --> 00:39:01,355
...i can clearly see
the location of the wings,
719
00:39:01,356 --> 00:39:03,357
but I can't tell anything
about velocity.
720
00:39:03,358 --> 00:39:06,126
So now I'll set it
to a low shutter speed.
721
00:39:08,695 --> 00:39:09,995
And now it's just a blur.
722
00:39:09,996 --> 00:39:12,533
I can't tell anything
about the location of the wings,
723
00:39:12,534 --> 00:39:15,402
but I can clearly see
that they have a velocity.
724
00:39:15,403 --> 00:39:18,073
Freeman: Similarly, we can never
know the true position
725
00:39:18,074 --> 00:39:21,674
and velocity of an electron.
726
00:39:21,675 --> 00:39:24,812
So the notion of truth
at the quantum level
727
00:39:24,813 --> 00:39:30,116
is very different from our usual
human understanding of truth.
728
00:39:30,117 --> 00:39:32,652
Freeman: But as strange
as these particles are,
729
00:39:32,653 --> 00:39:35,321
we still know
they are bits of matter
730
00:39:35,322 --> 00:39:37,623
and they have
certain defining properties,
731
00:39:37,624 --> 00:39:42,462
such as spin direction
and electrical charge.
732
00:39:42,463 --> 00:39:47,400
Matter and its properties
go together like rock and hard.
733
00:39:47,401 --> 00:39:51,205
You can't have one
without the other.
734
00:39:51,206 --> 00:39:53,540
Or can you?
735
00:39:53,541 --> 00:39:55,141
The more Jeff and his colleagues
736
00:39:55,142 --> 00:39:57,879
study the building blocks
of the universe,
737
00:39:57,880 --> 00:40:02,482
the curiouser and curiouser
it all becomes.
738
00:40:02,483 --> 00:40:06,085
Tollaksen:
If you've ever read Lewis carroll's "Alice in wonderland,"
739
00:40:06,086 --> 00:40:08,654
you know
that there is a cheshire cat.
740
00:40:08,655 --> 00:40:11,725
Now, the cheshire cat
has a grin.
741
00:40:11,726 --> 00:40:13,160
And it's a remarkable grin.
742
00:40:13,161 --> 00:40:15,995
So you can't have the
cheshire cat without the grin.
743
00:40:15,996 --> 00:40:18,464
The grin belongs to the cat.
744
00:40:18,465 --> 00:40:21,301
But one day, Alice is having
a conversation with the cat,
745
00:40:21,302 --> 00:40:23,770
and suddenly,
the body disappears,
746
00:40:23,771 --> 00:40:25,337
leaving just the grin.
747
00:40:25,338 --> 00:40:26,739
To which Alice said,
748
00:40:26,740 --> 00:40:29,442
"well, I've often seen a cat
without a grin.
749
00:40:29,443 --> 00:40:30,743
But a grin without a cat?
750
00:40:30,744 --> 00:40:34,047
It's the most curious thing
I've ever seen."
751
00:40:34,048 --> 00:40:36,484
Now, it seems
physically impossible,
752
00:40:36,485 --> 00:40:39,219
even in your wildest dreams,
that such a thing could happen.
753
00:40:39,220 --> 00:40:43,357
But what's remarkable is we've
predicted how you could do this,
754
00:40:43,358 --> 00:40:47,326
namely separate properties
from matter.
755
00:40:47,327 --> 00:40:50,062
Freeman:
In July 2014,
756
00:40:50,063 --> 00:40:53,734
Jeff and colleagues at the
Vienna institute of technology
757
00:40:53,735 --> 00:40:56,536
put that prediction to the test.
758
00:40:56,537 --> 00:41:01,808
Could they actually
create a quantum cheshire cat?
759
00:41:01,809 --> 00:41:05,377
They split a stream of neutrons
into two beams.
760
00:41:05,378 --> 00:41:08,582
Then, they used magnetic fields
to give the neutrons
761
00:41:08,583 --> 00:41:11,850
in each beam
opposite spin direction.
762
00:41:11,851 --> 00:41:14,855
Using other magnetic fields
and filters,
763
00:41:14,856 --> 00:41:16,989
they manipulated the system
764
00:41:16,990 --> 00:41:19,393
until something very curious
happened.
765
00:41:19,394 --> 00:41:23,230
The mass of the neutrons went
entirely through the upper beam,
766
00:41:23,231 --> 00:41:25,466
while the neutrons'
spin properties
767
00:41:25,467 --> 00:41:29,034
traveled exclusively
through the lower beam.
768
00:41:29,035 --> 00:41:31,404
Like a cat and its grin,
769
00:41:31,405 --> 00:41:34,709
matter and its properties
were separated.
770
00:41:36,709 --> 00:41:38,911
If it's possible
to separate an object
771
00:41:38,912 --> 00:41:43,016
from the properties
that we use to describe it,
772
00:41:43,017 --> 00:41:44,283
is truth itself
773
00:41:44,284 --> 00:41:47,587
just another property
that can be stripped away?
774
00:41:47,588 --> 00:41:51,190
Are we closer to finding
the truth about the universe,
775
00:41:51,191 --> 00:41:55,896
or closer to dismissing it
as nothing more than a phantom?
776
00:41:58,365 --> 00:42:01,803
Tollaksen:
Every time we peel back a little bit more of that veil,
777
00:42:01,804 --> 00:42:06,605
we discover incredibly beautiful
and awe inspiring new truths.
778
00:42:06,606 --> 00:42:09,710
Whether or not scientists
will ever be able to discover
779
00:42:09,711 --> 00:42:14,114
absolute truth,
deep nature of everything,
780
00:42:14,115 --> 00:42:15,714
we don't know.
781
00:42:15,715 --> 00:42:19,319
But it is in the spirit
of science to keep trying.
782
00:42:19,320 --> 00:42:23,255
Will we continue to peel back
layer after layer
783
00:42:23,256 --> 00:42:26,192
of new truths forever?
784
00:42:26,193 --> 00:42:29,795
Could we even comprehend the
truth with our limited senses
785
00:42:29,796 --> 00:42:33,366
and our faulty,
selective memories?
786
00:42:33,367 --> 00:42:38,170
There's only one thing
we can be sure of...
787
00:42:38,171 --> 00:42:41,742
Anyone who claims
to know the ultimate truth...
788
00:42:43,843 --> 00:42:48,448
...is probably just
telling you another lie.
789
00:42:48,449 --> 00:42:48,816
[ Chuckles ]
790
00:42:48,866 --> 00:42:53,416
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