The things we know we don't know: an introduction to lygometry | Amin Toufani | TEDxSanFrancisco
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0:09 - 0:13I recently visited Paris,
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0:14 - 0:19and on that trip this last March,
I made a discovery. -
0:19 - 0:21It was a fascinating thing that I noticed.
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0:21 - 0:27I discovered the loneliest place
at the Louvre Museum in Paris. -
0:29 - 0:30I can tell you where it is.
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0:30 - 0:34It's on the first floor, south wing,
room number seven. -
0:36 - 0:38North side, not the south side.
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0:40 - 0:42It is an amazing place,
and I'll explain why. -
0:43 - 0:46But first, I'm just struck
by a thought, actually, -
0:46 - 0:48looking at the timer that is in my face,
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0:48 - 0:54if I were to end right now, this would be
the shortest TED Talk in human history. -
0:54 - 0:59So, on that note, in under a minute,
do you guys want to make history? -
0:59 - 1:00Shall we?
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1:00 - 1:01(Audience) Yeah!
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1:01 - 1:02Finish it here?
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1:02 - 1:05Thank you, thank you, you've been amazing.
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1:05 - 1:07(Laughter)
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1:11 - 1:15In an earlier talk this morning,
you heard about the Louvre Museum. -
1:15 - 1:18(Laughter)
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1:19 - 1:23No, but why is this room
the loneliest place at the Louvre Museum? -
1:23 - 1:24Room number seven.
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1:25 - 1:29There are two sides to it,
north entrance and south entrance. -
1:29 - 1:31I entered though the north entrance,
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1:31 - 1:33and there is a wall
in the middle of the room -
1:33 - 1:35that divides the room into two parts.
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1:35 - 1:38So as I entered,
this big wall is in front of me, -
1:38 - 1:41and there are five paintings
mounted on the wall. -
1:41 - 1:44And I am just super excited
because there is nobody around. -
1:44 - 1:47I have these five beautiful
paintings all to myself. -
1:48 - 1:50So I stand there and I take it all in.
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1:50 - 1:53But soon I realised
something very strange: -
1:53 - 1:56that I was the only one
looking at the wall. -
1:57 - 1:59Nobody was coming towards the wall.
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1:59 - 2:02People were walking away
from the wall or around it. -
2:03 - 2:07Why? Why wasn't anybody
paying attention to these five paintings? -
2:08 - 2:11So I beg the question,
What is on the other side of the wall? -
2:11 - 2:13I had a look.
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2:13 - 2:16More than 300 people
were on the other side. -
2:16 - 2:20And they were all trying to catch
a glimpse of Da Vinci's masterpiece, -
2:21 - 2:22the Mona Lisa.
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2:24 - 2:29The wall epitomizes
a core vulnerability for all of us. -
2:29 - 2:31A fear that we share.
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2:32 - 2:35Which side of the wall
are you going to end up on? -
2:36 - 2:41Is what you're working on today
going to stand the test of time? -
2:42 - 2:44Will you matter?
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2:44 - 2:48And it is not all about,
not at all about fame or fortune; -
2:48 - 2:50it is about values, about beauty.
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2:50 - 2:54It's about creating
something that has impact. -
2:54 - 2:57So let me share with you
my personal beacon of guidance -
2:57 - 3:01for how to choose projects that have
the best chance at having impact. -
3:01 - 3:03I call the process "lygometry."
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3:03 - 3:08"Lygo," L-Y-G-O,
is Latin for shadow or darkness. -
3:09 - 3:11"Metry" is measurement, quantification.
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3:11 - 3:16Lygometry means quantifying
things you know you do not know. -
3:17 - 3:19The open questions.
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3:20 - 3:22Picture a circle.
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3:22 - 3:25Inside the circle is everything you know.
Outside is everything you don't know. -
3:25 - 3:28Lygometry is the edge of the circle.
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3:28 - 3:29The segue to creativity.
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3:29 - 3:33Things you know you do not know.
Quantifying lack of knowledge. -
3:34 - 3:36This is quite powerful
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3:36 - 3:40but is not as prevalent
as you would expect it to be, -
3:40 - 3:43given that it is the segue to creativity.
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3:44 - 3:46I have a degree
in artificial intelligence, -
3:46 - 3:50I studied economic policy at Harvard,
I got an MBA from Stanford, -
3:50 - 3:53and I am quite grateful
for the education that I got. -
3:53 - 3:58But in 10,000 hours of lectures
that I have sat through, -
3:58 - 4:01never did I see a professor
walk into the room and say, -
4:01 - 4:03"Here's everything
we know about this topic, -
4:03 - 4:05and here's everything we don't."
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4:07 - 4:08Why?
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4:08 - 4:09Why not?
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4:11 - 4:16Why is that our educators feel compelled
to project perfect knowledge -
4:16 - 4:17when there isn't any.
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4:18 - 4:23Our education system is predicated
on the needs of the Industrial Revolution. -
4:23 - 4:27They needed to dump a lot
of information on a lot of people. -
4:28 - 4:29But guess what?
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4:29 - 4:33Information has become abundant and cheap.
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4:34 - 4:37Imagine what we could do
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4:37 - 4:41if instead of asking our students
to regurgitate established knowledge, -
4:41 - 4:43we expose them to the open problems.
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4:43 - 4:45Imagine the type of creativity
we could tap into, -
4:45 - 4:48the type of passion we could fuel.
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4:51 - 4:53Lygometry is a bit counterintuitive.
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4:53 - 4:56We all seek certainty
in an uncertain world, -
4:58 - 5:02so it creates cognitive dissonance
to talk about open problems - -
5:02 - 5:04problems that might not be resolvable.
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5:05 - 5:08Our brains love solving problems
that are solved. -
5:09 - 5:13I believe we're going to look back
at this period in human history -
5:13 - 5:16and recognise a big flaw
in how we're doing this. -
5:16 - 5:22We are mistaking abundance of information
for sufficiency of knowledge. -
5:22 - 5:25Mistaking abundance for sufficiency.
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5:29 - 5:32I have a picture of Isaac Newton's house
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5:32 - 5:34on top of my desk.
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5:34 - 5:37It is a reminder to me about lygometry.
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5:37 - 5:40In the picture, you can see the tree.
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5:40 - 5:46Yes, the tree from which
the apple fell on his head, -
5:46 - 5:48he discovered gravity,
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5:48 - 5:50and as a result,
we all had to take physics. -
5:50 - 5:51(Laughter)
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5:51 - 5:53And we did.
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5:53 - 5:57In those physics courses,
we learnt about gravity, all the formulas, -
5:57 - 5:59how to do calculations.
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6:00 - 6:02But did any of your teachers ever say
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6:03 - 6:07that gravity as a whole
is a big open question in physics? -
6:08 - 6:11We don't understand it, can't explain it,
don't know where it comes from. -
6:11 - 6:14The best theory we have
about gravity is from Einstein. -
6:14 - 6:17And even that theory has not been
reconciled with quantum mechanics. -
6:17 - 6:19Big open question.
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6:19 - 6:20But why is it
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6:21 - 6:25that today is probably the first day
that a lot of you hear about it? -
6:26 - 6:29Why don't we talk
about these open questions? -
6:29 - 6:31I decided to do something about this.
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6:31 - 6:35I have started a project
called "Reversopedia." -
6:35 - 6:39It is a reverse encyclopedia
of things we know we don't know. -
6:40 - 6:41And it is online.
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6:41 - 6:44It's an open-source project,
and I encourage you to check it out, -
6:44 - 6:46especially if you're an educator -
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6:46 - 6:50go there and incorporate some of
the open questions in your lesson flows. -
6:52 - 6:57But the challenge is absence of lygometry
does not affect education only; -
6:57 - 7:00it affects how we run our organisations.
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7:01 - 7:04The modern workplace suffers
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7:04 - 7:10from an epidemic of knowledge inflation
and knowledge pretension. -
7:10 - 7:14Folks believing and claiming
to know more than they do. -
7:14 - 7:19Collectively we have failed to create
a safe environment for people to say, -
7:19 - 7:21"This is what I know I do not know."
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7:21 - 7:26So we compound our assumptions
and pretensions and lack of knowledge. -
7:26 - 7:28I coach executives on this,
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7:28 - 7:30and it is amazing the type
of discoveries they make -
7:30 - 7:33about new opportunities
and about how to handle threats. -
7:33 - 7:36I personally believe we
could have avoided the financial crisis -
7:36 - 7:38through a lygometric process.
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7:39 - 7:44It is important to recognise
that the most important type of knowledge -
7:44 - 7:46is lack of knowledge.
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7:46 - 7:49But we have stigmatised it
in the workplace. -
7:50 - 7:53I'm positive we will get over this
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7:53 - 7:57as our language around
knowledge becomes better, -
7:57 - 8:00as we increase
the calibre of that dialogue, -
8:00 - 8:03as we become more sophisticated
and more secure in what we know, -
8:03 - 8:07we'll be better prepared
to talk about what we don't know. -
8:07 - 8:09But let me switch to a positive note.
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8:09 - 8:11Who does lygometry well?
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8:12 - 8:13Two groups:
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8:13 - 8:16children and artificial intelligence.
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8:17 - 8:22Children are born with
an innate ability to do lygometry. -
8:22 - 8:26They're very good at keeping track
of things that don't make sense to them. -
8:26 - 8:29And they're not shy
about asking, are they? -
8:30 - 8:35They ask those questions;
their egos don't get in the way, yet. -
8:37 - 8:39We're all born with an ability
to do lygometry, -
8:39 - 8:41but we are educated out of it.
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8:41 - 8:44We're educated out of it.
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8:44 - 8:47Surprisingly, machines
do this extremely well too. -
8:48 - 8:51Our best methodologies
in artificial intelligence -
8:51 - 8:54keep track of things
about their hypothesis -
8:54 - 8:57that don't map the data they're given,
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8:57 - 9:00the difference between
what they know and what they don't. -
9:01 - 9:05So effectively, they are following
a very methodical lygometric process. -
9:06 - 9:08They're honing in on the open questions,
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9:08 - 9:12and as a result,
they're adapting in real time. -
9:13 - 9:16This is my hope for humanity's future.
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9:17 - 9:21I started with a conversation
about vulnerability. -
9:21 - 9:22Lygometry,
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9:22 - 9:23acknowledging the open questions,
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9:23 - 9:26acknowledging things
you know you don't know -
9:26 - 9:28is a very vulnerable process.
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9:28 - 9:32But if you endure the pressure,
if you can get through it, -
9:32 - 9:36on the other side there is creativity,
there is innovation, there is liberation. -
9:36 - 9:39No pressure, no diamond.
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9:42 - 9:44I want to share with you a personal story.
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9:45 - 9:50If you google the phrase
"the world's best guitar player," -
9:50 - 9:52I'm it.
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9:52 - 9:53(Laughter)
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9:53 - 9:55You can try it.
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9:55 - 9:57You google that -
"world's best guitar player" - -
9:57 - 9:59search for it, I'm the first result.
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9:59 - 10:03There's a video of me somebody posted,
I don't know who; it went viral. -
10:03 - 10:04It has 32 million views.
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10:04 - 10:06By the way, 32 million views -
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10:07 - 10:09I want to share a secret with you guys,
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10:09 - 10:12privileged information,
please don't share outside this room. -
10:12 - 10:13(Laughter)
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10:14 - 10:16Of the 32 million views,
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10:16 - 10:2031 million is my mother.
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10:20 - 10:22(Laughter)
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10:23 - 10:26Big fan. That's how you become
the world's best guitar player. -
10:27 - 10:29I'm definitely not
the world's best guitar player. -
10:29 - 10:31The reason I share this story with you
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10:32 - 10:35is the fact that I've only had
seven hours of lessons in my life. -
10:36 - 10:39I'm grateful for those seven hours.
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10:40 - 10:44But I've benefited from the absence
of my instructors in a strange way. -
10:45 - 10:47I could see what
other guitar players could do, -
10:47 - 10:50the types of sounds they could create.
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10:50 - 10:52And I knew I couldn't.
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10:52 - 10:54Lygometry.
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10:54 - 10:56But that led to a creative process.
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10:56 - 10:58I tried to create my own sounds.
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10:59 - 11:04The easiest way to think outside the box
is to not know where the box is. -
11:08 - 11:11I have big belief in lygometry.
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11:12 - 11:17And I think, over time,
a paradigm shift is in order -
11:17 - 11:20to upgrade our conversation
about knowledge, -
11:20 - 11:23about how we think about
humanity's big problems. -
11:23 - 11:25Because if we do, and we should,
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11:26 - 11:28because children are doing it,
machines are doing it, -
11:28 - 11:30there's no reason why we can't.
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11:30 - 11:34If we do, our biggest problems
will become our biggest solutions. -
11:35 - 11:37I would like to end
by playing you a little song. -
11:38 - 11:42It is a song that I wrote
called "Gratitude." -
11:42 - 11:44I call it "Gratitude,"
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11:44 - 11:46and the title perfectly captures
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11:46 - 11:49how I felt for the opportunity
to be here with you this morning. -
11:49 - 11:50Thank you.
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11:50 - 11:52(Applause)
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11:53 - 11:55(Music)
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13:24 - 13:26(Music continues)
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14:00 - 14:02(Music continues)
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15:00 - 15:02(Music ends)
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15:02 - 15:05(Cheers) (Applause)
- Title:
- The things we know we don't know: an introduction to lygometry | Amin Toufani | TEDxSanFrancisco
- Description:
-
Amin is the creator of the concept of lygometry - a methodology he is using to build the world's first hedge fund for the poor and to create the first reverse encyclopedia, Reversopedia, which is a collection of things we know we don't know. His talk is about the role of lygometry at the present juncture in human history.
Amin is the Vice President of Strategic Relations at the NASA-based Singularity University where he also teaches lygometry as a tool for adaptive leadership.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
- Video Language:
- English
- Team:
closed TED
- Project:
- TEDxTalks
- Duration:
- 15:15