The world needs all kinds of minds
-
0:00 - 0:03I think I'll start out
and just talk a little bit -
0:03 - 0:04about what exactly autism is.
-
0:04 - 0:07Autism is a very big continuum
-
0:07 - 0:10that goes from very severe --
the child remains nonverbal -- -
0:10 - 0:13all the way up to brilliant
scientists and engineers. -
0:13 - 0:15And I actually feel at home here,
-
0:15 - 0:18because there's a lot
of autism genetics here. -
0:18 - 0:19(Laughter)
-
0:19 - 0:20You wouldn't have any --
-
0:20 - 0:23(Applause)
-
0:23 - 0:25It's a continuum of traits.
-
0:25 - 0:31When does a nerd turn into Asperger,
which is just mild autism? -
0:31 - 0:36I mean, Einstein and Mozart and Tesla
would all be probably diagnosed -
0:36 - 0:38as autistic spectrum today.
-
0:38 - 0:41And one of the things
that is really going to concern me -
0:41 - 0:43is getting these kids to be the ones
-
0:43 - 0:46that are going to invent
the next energy things -
0:46 - 0:48that Bill Gates talked about this morning.
-
0:49 - 0:53OK, now, if you want
to understand autism: animals. -
0:53 - 0:56I want to talk to you now
about different ways of thinking. -
0:56 - 0:58You have to get away from verbal language.
-
0:59 - 1:02I think in pictures.
I don't think in language. -
1:03 - 1:08Now, the thing about the autistic mind
is it attends to details. -
1:08 - 1:11This is a test where you either
have to pick out the big letters -
1:11 - 1:12or the little letters,
-
1:12 - 1:16and the autistic mind picks out
the little letters more quickly. -
1:17 - 1:20And the thing is, the normal brain
ignores the details. -
1:20 - 1:23Well, if you're building a bridge,
details are pretty important -
1:23 - 1:26because it'll fall down
if you ignore the details. -
1:26 - 1:29And one of my big concerns
with a lot of policy things today -
1:29 - 1:30is things are getting too abstract.
-
1:31 - 1:34People are getting away
from doing hands-on stuff. -
1:34 - 1:36I'm really concerned
that a lot of the schools -
1:36 - 1:40have taken out the hands-on classes,
because art, and classes like that -- -
1:40 - 1:42those are the classes where I excelled.
-
1:42 - 1:44In my work with cattle,
-
1:44 - 1:47I noticed a lot of little things
that most people don't notice -
1:47 - 1:49would make the cattle balk.
-
1:49 - 1:52For example, this flag waving
right in front of the veterinary facility. -
1:52 - 1:56This feed yard was going to tear down
their whole veterinary facility; -
1:56 - 1:58all they needed to do was move the flag.
-
1:58 - 2:00Rapid movement, contrast.
-
2:00 - 2:03In the early '70s when I started,
I got right down in the chutes -
2:03 - 2:04to see what cattle were seeing.
-
2:04 - 2:06People thought that was crazy.
-
2:06 - 2:09A coat on a fence would make them balk,
shadows would make them balk, -
2:09 - 2:12a hose on the floor --
people weren't noticing these things. -
2:12 - 2:14A chain hanging down ...
-
2:14 - 2:16And that's shown
very, very nicely in the movie. -
2:16 - 2:19In fact, I loved the movie,
how they duplicated all my projects. -
2:19 - 2:21That's the geek side.
-
2:21 - 2:23My drawings got to star in the movie, too.
-
2:23 - 2:25And, actually, it's called
"Temple Grandin," -
2:25 - 2:27not "Thinking in Pictures."
-
2:27 - 2:28So what is thinking in pictures?
-
2:28 - 2:31It's literally movies in your head.
-
2:31 - 2:34My mind works like Google for images.
-
2:34 - 2:37When I was a young kid,
I didn't know my thinking was different. -
2:37 - 2:39I thought everybody thought in pictures.
-
2:39 - 2:41Then when I did my book,
"Thinking in Pictures," -
2:41 - 2:44I started interviewing people
about how they think. -
2:44 - 2:47And I was shocked to find out
that my thinking was quite different. -
2:47 - 2:49Like if I say, "Think
about a church steeple," -
2:49 - 2:52most people get this sort
of generalized generic one. -
2:52 - 2:54Now, maybe that's not true in this room,
-
2:54 - 2:57but it's going to be true
in a lot of different places. -
2:57 - 2:59I see only specific pictures.
-
2:59 - 3:03They flash up into my memory,
just like Google for pictures. -
3:03 - 3:06And in the movie,
they've got a great scene in there, -
3:06 - 3:10where the word "shoe" is said,
and a whole bunch of '50s and '60s shoes -
3:10 - 3:11pop into my imagination.
-
3:12 - 3:14OK, there's my childhood church;
that's specific. -
3:15 - 3:16There's some more, Fort Collins.
-
3:16 - 3:18OK, how about famous ones?
-
3:19 - 3:21And they just kind of come up,
kind of like this. -
3:21 - 3:24Just really quickly,
like Google for pictures. -
3:24 - 3:26And they come up one at a time,
-
3:26 - 3:29and then I think, "OK, well,
maybe we can have it snow, -
3:29 - 3:30or we can have a thunderstorm,"
-
3:30 - 3:33and I can hold it there
and turn them into videos. -
3:33 - 3:36Now, visual thinking
was a tremendous asset -
3:36 - 3:39in my work designing
cattle-handling facilities. -
3:40 - 3:43And I've worked really hard
on improving how cattle are treated -
3:43 - 3:44at the slaughter plant.
-
3:44 - 3:46I'm not going to go
into any gucky slaughter slides. -
3:46 - 3:49I've got that stuff up on YouTube,
if you want to look at it. -
3:49 - 3:50(Laughter)
-
3:50 - 3:53But one of the things
that I was able to do in my design work -
3:53 - 3:56is I could test-run a piece
of equipment in my mind, -
3:56 - 3:58just like a virtual reality
computer system. -
3:59 - 4:03And this is an aerial view
of a recreation of one of my projects -
4:03 - 4:04that was used in the movie.
-
4:04 - 4:07That was like just so super cool.
-
4:07 - 4:10And there were a lot of, kind of,
Asperger types and autism types -
4:10 - 4:12working out there on the movie set, too.
-
4:12 - 4:13(Laughter)
-
4:13 - 4:16But one of the things
that really worries me is: -
4:16 - 4:19Where's the younger version
of those kids going today? -
4:20 - 4:22They're not ending up in Silicon Valley,
-
4:22 - 4:23where they belong.
-
4:23 - 4:25(Laughter)
-
4:25 - 4:30(Applause)
-
4:30 - 4:34One of the things I learned very early on
because I wasn't that social, -
4:34 - 4:37is I had to sell my work, and not myself.
-
4:37 - 4:40And the way I sold livestock jobs
is I showed off my drawings, -
4:40 - 4:42I showed off pictures of things.
-
4:42 - 4:44Another thing that helped me
as a little kid -
4:44 - 4:47is, boy, in the '50s,
you were taught manners. -
4:47 - 4:50You were taught you can't pull
the merchandise off the shelves -
4:50 - 4:51in the store and throw it around.
-
4:51 - 4:54When kids get to be
in third or fourth grade, -
4:54 - 4:56you might see that this kid's going
to be a visual thinker, -
4:56 - 4:58drawing in perspective.
-
4:58 - 4:59Now, I want to emphasize
-
4:59 - 5:02that not every autistic kid
is going to be a visual thinker. -
5:02 - 5:06Now, I had this brain scan
done several years ago, -
5:06 - 5:10and I used to joke around about having
a gigantic Internet trunk line -
5:10 - 5:12going deep into my visual cortex.
-
5:12 - 5:14This is tensor imaging.
-
5:14 - 5:18And my great big Internet trunk line
is twice as big as the control's. -
5:18 - 5:20The red lines there are me,
-
5:20 - 5:24and the blue lines are the sex
and age-matched control. -
5:25 - 5:27And there I got a gigantic one,
-
5:27 - 5:31and the control over there, the blue one,
has got a really small one. -
5:32 - 5:34And some of the research now is showing
-
5:34 - 5:38that people on the spectrum actually
think with the primary visual cortex. -
5:38 - 5:41Now, the thing is, the visual thinker
is just one kind of mind. -
5:41 - 5:45You see, the autistic mind
tends to be a specialist mind -- -
5:45 - 5:47good at one thing, bad at something else.
-
5:48 - 5:50And where I was bad was algebra.
-
5:50 - 5:52And I was never allowed
to take geometry or trig. -
5:52 - 5:53Gigantic mistake.
-
5:53 - 5:56I'm finding a lot of kids
who need to skip algebra, -
5:56 - 5:57go right to geometry and trig.
-
5:58 - 6:00Now, another kind of mind
is the pattern thinker. -
6:00 - 6:01More abstract.
-
6:01 - 6:04These are your engineers,
your computer programmers. -
6:04 - 6:05This is pattern thinking.
-
6:05 - 6:08That praying mantis is made
from a single sheet of paper -- -
6:08 - 6:10no scotch tape, no cuts.
-
6:10 - 6:13And there in the background
is the pattern for folding it. -
6:13 - 6:15Here are the types of thinking:
-
6:15 - 6:18photo-realistic visual thinkers, like me;
-
6:19 - 6:22pattern thinkers, music and math minds.
-
6:22 - 6:25Some of these oftentimes
have problems with reading. -
6:25 - 6:29You also will see these kind of problems
with kids that are dyslexic. -
6:29 - 6:31You'll see these different kinds of minds.
-
6:31 - 6:35And then there's a verbal mind,
they know every fact about everything. -
6:35 - 6:37Now, another thing is the sensory issues.
-
6:37 - 6:40I was really concerned about having
to wear this gadget on my face. -
6:40 - 6:43And I came in half an hour beforehand
-
6:43 - 6:46so I could have it put on
and kind of get used to it, -
6:46 - 6:48and they got it bent
so it's not hitting my chin. -
6:48 - 6:50But sensory is an issue.
-
6:50 - 6:52Some kids are bothered
by fluorescent lights; -
6:52 - 6:54others have problems
with sound sensitivity. -
6:54 - 6:56You know, it's going to be variable.
-
6:57 - 7:01Now, visual thinking gave me
a whole lot of insight -
7:01 - 7:03into the animal mind.
-
7:03 - 7:07Because think about it:
an animal is a sensory-based thinker, -
7:07 - 7:13not verbal -- thinks in pictures,
thinks in sounds, thinks in smells. -
7:13 - 7:16Think about how much information
there is on the local fire hydrant. -
7:16 - 7:18He knows who's been there --
-
7:18 - 7:19(Laughter)
-
7:19 - 7:20When they were there.
-
7:20 - 7:23Are they friend or foe?
Is there anybody he can go mate with? -
7:23 - 7:26There's a ton of information
on that fire hydrant. -
7:26 - 7:28It's all very detailed information.
-
7:29 - 7:33And looking at these kind of details
gave me a lot of insight into animals. -
7:33 - 7:37Now, the animal mind, and also my mind,
-
7:37 - 7:42puts sensory-based information
into categories. -
7:42 - 7:43Man on a horse,
-
7:43 - 7:45and a man on the ground --
-
7:45 - 7:48that is viewed as two
totally different things. -
7:48 - 7:50You could have a horse
that's been abused by a rider. -
7:50 - 7:53They'll be absolutely fine
with the veterinarian -
7:53 - 7:55and with the horseshoer,
but you can't ride him. -
7:55 - 7:58You have another horse,
where maybe the horseshoer beat him up, -
7:58 - 8:02and he'll be terrible for anything
on the ground with the veterinarian, -
8:02 - 8:04but a person can ride him.
-
8:04 - 8:06Cattle are the same way.
-
8:06 - 8:10Man on a horse, a man on foot --
they're two different things. -
8:10 - 8:11You see, it's a different picture.
-
8:12 - 8:15See, I want you to think
about just how specific this is. -
8:15 - 8:18Now, this ability to put
information into categories, -
8:18 - 8:21I find a lot of people
are not very good at this. -
8:21 - 8:24When I'm out troubleshooting equipment
-
8:24 - 8:25or problems with something in a plant,
-
8:25 - 8:27they don't seem to be able to figure out:
-
8:28 - 8:29"Do I have a training-people issue?
-
8:29 - 8:32Or do I have something wrong
with the equipment?" -
8:32 - 8:35In other words, categorize
equipment problem from a people problem. -
8:35 - 8:39I find a lot of people
have difficulty doing that. -
8:39 - 8:41Now, let's say I figure out
it's an equipment problem. -
8:41 - 8:44Is it a minor problem,
with something simple I can fix? -
8:44 - 8:46Or is the whole design
of the system wrong? -
8:46 - 8:49People have a hard time figuring that out.
-
8:49 - 8:51Let's just look at something
like, you know, -
8:51 - 8:53solving problems with making
airlines safer. -
8:53 - 8:55Yeah, I'm a million-mile flier.
-
8:55 - 8:57I do lots and lots of flying,
-
8:57 - 9:00and if I was at the FAA,
-
9:00 - 9:04what would I be doing a lot
of direct observation of? -
9:04 - 9:07It would be their airplane tails.
-
9:07 - 9:09You know, five fatal wrecks
in the last 20 years, -
9:09 - 9:11the tail either came off,
-
9:11 - 9:14or steering stuff inside the tail
broke in some way. -
9:15 - 9:17It's tails, pure and simple.
-
9:17 - 9:19And when the pilots walk
around the plane, guess what? -
9:19 - 9:21They can't see that stuff inside the tail.
-
9:21 - 9:23Now as I think about that,
-
9:23 - 9:26I'm pulling up all of that
specific information. -
9:26 - 9:28It's specific.
-
9:28 - 9:29See, my thinking's bottom-up.
-
9:29 - 9:33I take all the little pieces and I put
the pieces together like a puzzle. -
9:33 - 9:37Now, here is a horse that was deathly
afraid of black cowboy hats. -
9:37 - 9:39He'd been abused by somebody
with a black cowboy hat. -
9:39 - 9:42White cowboy hats,
that was absolutely fine. -
9:43 - 9:45Now, the thing is,
the world is going to need -
9:45 - 9:49all of the different kinds of minds
to work together. -
9:49 - 9:52We've got to work on developing
all these different kinds of minds. -
9:52 - 9:55And one of the things
that is driving me really crazy -
9:55 - 9:57as I travel around
and I do autism meetings, -
9:57 - 10:01is I'm seeing a lot of smart,
geeky, nerdy kids, -
10:01 - 10:03and they just aren't very social,
-
10:03 - 10:06and nobody's working
on developing their interest -
10:06 - 10:07in something like science.
-
10:08 - 10:10And this brings up the whole thing
of my science teacher. -
10:10 - 10:13My science teacher is shown
absolutely beautifully in the movie. -
10:14 - 10:16I was a goofball student
when I was in high school. -
10:16 - 10:18I just didn't care at all about studying,
-
10:18 - 10:21until I had Mr. Carlock's science class.
-
10:21 - 10:24He was now Dr. Carlock in the movie.
-
10:24 - 10:30And he got me challenged
to figure out an optical illusion room. -
10:30 - 10:33This brings up the whole thing
of you've got to show kids -
10:33 - 10:34interesting stuff.
-
10:34 - 10:38You know, one of the things
that I think maybe TED ought to do -
10:38 - 10:41is tell all the schools about all
the great lectures that are on TED, -
10:41 - 10:43and there's all kinds
of great stuff on the Internet -
10:44 - 10:45to get these kids turned on.
-
10:45 - 10:47Because I'm seeing a lot
of these geeky, nerdy kids, -
10:47 - 10:51and the teachers out in the Midwest
and other parts of the country -
10:51 - 10:53when you get away from these tech areas,
-
10:53 - 10:55they don't know what to do
with these kids. -
10:55 - 10:57And they're not going down the right path.
-
10:57 - 10:58The thing is, you can make a mind
-
10:58 - 11:01to be more of a thinking
and cognitive mind, -
11:01 - 11:04or your mind can be wired
to be more social. -
11:04 - 11:06And what some of the research
now has shown in autism -
11:06 - 11:10is there may by extra wiring back here
in the really brilliant mind, -
11:10 - 11:12and we lose a few social circuits here.
-
11:12 - 11:15It's kind of a trade-off
between thinking and social. -
11:15 - 11:17And then you can get to the point
where it's so severe, -
11:17 - 11:20you're going to have a person
that's going to be non-verbal. -
11:20 - 11:22In the normal human mind,
-
11:22 - 11:26language covers up the visual thinking
we share with animals. -
11:26 - 11:28This is the work of Dr. Bruce Miller.
-
11:29 - 11:33He studied Alzheimer's patients
that had frontal temporal lobe dementia. -
11:33 - 11:36And the dementia ate out
the language parts of the brain. -
11:36 - 11:39And then this artwork came out of somebody
-
11:39 - 11:41who used to install stereos in cars.
-
11:42 - 11:45Now, Van Gogh doesn't know
anything about physics, -
11:45 - 11:49but I think it's very interesting
that there was some work done -
11:49 - 11:51to show that this eddy pattern
in this painting -
11:51 - 11:54followed a statistical model
of turbulence, -
11:55 - 11:57which brings up the whole interesting idea
-
11:57 - 12:00of maybe some of this mathematical
patterns is in our own head. -
12:00 - 12:02And the Wolfram stuff --
-
12:02 - 12:06I was taking notes and writing down
all the search words I could use, -
12:06 - 12:10because I think that's going to go on
in my autism lectures. -
12:10 - 12:12We've got to show
these kids interesting stuff. -
12:12 - 12:15And they've taken out the auto-shop class
-
12:15 - 12:17and the drafting class and the art class.
-
12:17 - 12:19I mean, art was my best subject in school.
-
12:19 - 12:22We've got to think about all
these different kinds of minds, -
12:22 - 12:25and we've got to absolutely
work with these kind of minds, -
12:25 - 12:27because we absolutely are going to need
-
12:27 - 12:30these kinds of people in the future.
-
12:30 - 12:32And let's talk about jobs.
-
12:32 - 12:34OK, my science teacher got me studying,
-
12:34 - 12:37because I was a goofball
that didn't want to study. -
12:37 - 12:39But you know what?
I was getting work experience. -
12:39 - 12:43I'm seeing too many of these smart kids
who haven't learned basic things, -
12:43 - 12:46like how to be on time -- I was taught
that when I was eight years old. -
12:46 - 12:49How to have table manners
at granny's Sunday party. -
12:49 - 12:51I was taught that
when I was very, very young. -
12:51 - 12:56And when I was 13, I had a job
at a dressmaker's shop sewing clothes. -
12:56 - 12:59I did internships in college,
-
12:59 - 13:02I was building things,
-
13:02 - 13:05and I also had to learn
how to do assignments. -
13:05 - 13:09You know, all I wanted to do was draw
pictures of horses when I was little. -
13:09 - 13:12My mother said, "Well let's do
a picture of something else." -
13:12 - 13:14They've got to learn
how to do something else. -
13:14 - 13:16Let's say the kid is fixated on Legos.
-
13:16 - 13:19Let's get him working
on building different things. -
13:19 - 13:22The thing about the autistic mind
is it tends to be fixated. -
13:22 - 13:26Like if the kid loves race cars,
let's use race cars for math. -
13:26 - 13:30Let's figure out how long it takes
a race car to go a certain distance. -
13:30 - 13:33In other words, use that fixation
-
13:33 - 13:37in order to motivate that kid,
that's one of the things we need to do. -
13:37 - 13:40I really get fed up when the teachers,
-
13:40 - 13:43especially when you get away
from this part of the country, -
13:43 - 13:45they don't know what to do
with these smart kids. -
13:45 - 13:46It just drives me crazy.
-
13:46 - 13:48What can visual thinkers
do when they grow up? -
13:48 - 13:51They can do graphic design,
all kinds of stuff with computers, -
13:51 - 13:55photography, industrial design.
-
13:56 - 14:00The pattern thinkers -- they're the ones
that are going to be your mathematicians, -
14:00 - 14:03your software engineers,
your computer programmers, -
14:03 - 14:05all of those kinds of jobs.
-
14:05 - 14:08And then you've got the word minds;
they make great journalists, -
14:08 - 14:11and they also make really,
really good stage actors. -
14:11 - 14:13Because the thing about being autistic is,
-
14:13 - 14:16I had to learn social skills
like being in a play. -
14:16 - 14:19You just kind of ...
you just have to learn it. -
14:19 - 14:22And we need to be working
with these students. -
14:22 - 14:24And this brings up mentors.
-
14:24 - 14:27You know, my science teacher
was not an accredited teacher. -
14:27 - 14:29He was a NASA space scientist.
-
14:29 - 14:32Some states now are getting it to where,
if you have a degree in biology -
14:32 - 14:34or in chemistry,
-
14:34 - 14:37you can come into the school
and teach biology or chemistry. -
14:37 - 14:38We need to be doing that.
-
14:39 - 14:40Because what I'm observing is,
-
14:40 - 14:42the good teachers,
for a lot of these kids, -
14:42 - 14:44are out in the community colleges.
-
14:44 - 14:47But we need to be getting
some of these good teachers -
14:47 - 14:48into the high schools.
-
14:48 - 14:51Another thing that can be very,
very, very successful is: -
14:51 - 14:54there's a lot of people
that may have retired -
14:54 - 14:55from working in the software industry,
-
14:55 - 14:57and they can teach your kid.
-
14:57 - 15:00And it doesn't matter
if what they teach them is old, -
15:00 - 15:02because what you're doing
is you're lighting the spark. -
15:02 - 15:05You're getting that kid turned on.
-
15:05 - 15:08And you get him turned on,
then you'll learn all the new stuff. -
15:08 - 15:11Mentors are just essential.
-
15:11 - 15:14I cannot emphasize enough
what my science teacher did for me. -
15:15 - 15:18And we've got to mentor them, hire them.
-
15:18 - 15:21And if you bring them in
for internships in your companies, -
15:21 - 15:23the thing about the autism,
Asperger-y kind of mind, -
15:23 - 15:25you've got to give them a specific task.
-
15:25 - 15:27Don't just say, "Design new software."
-
15:27 - 15:29You've got to tell them
something more specific: -
15:29 - 15:31"We're designing software for a phone
-
15:31 - 15:33and it has to do some specific thing,
-
15:33 - 15:35and it can only use so much memory."
-
15:35 - 15:37That's the kind of specificity you need.
-
15:37 - 15:39Well, that's the end of my talk.
-
15:39 - 15:42And I just want to thank
everybody for coming. -
15:42 - 15:43It was great to be here.
-
15:43 - 15:50(Applause)
-
15:55 - 15:57(Applause ends)
-
15:57 - 15:59Oh -- you have a question for me? OK.
-
15:59 - 16:01(Applause)
-
16:01 - 16:03Chris Anderson:
Thank you so much for that. -
16:03 - 16:05You know, you once wrote --
I like this quote: -
16:05 - 16:10"If by some magic, autism had been
eradicated from the face of the Earth, -
16:10 - 16:13then men would still be socializing
in front of a wood fire -
16:13 - 16:14at the entrance to a cave."
-
16:14 - 16:15(Laughter)
-
16:15 - 16:19Temple Grandin: Because who do you think
made the first stone spear? -
16:19 - 16:20It was the Asperger guy,
-
16:20 - 16:22and if you were to get rid
of all the autism genetics, -
16:22 - 16:26there'd be no more Silicon Valley,
and the energy crisis would not be solved. -
16:26 - 16:27(Applause)
-
16:27 - 16:30CA: I want to ask you
a couple other questions, -
16:30 - 16:34and if any of these feel inappropriate,
it's OK just to say, "Next question." -
16:34 - 16:37But if there is someone here
who has an autistic child, -
16:37 - 16:42or knows an autistic child and feels
kind of cut off from them, -
16:43 - 16:44what advice would you give them?
-
16:44 - 16:47TG: Well, first of all,
we've got to look at age. -
16:47 - 16:51If you have a two, three or four-year-old,
no speech, no social interaction, -
16:51 - 16:53I can't emphasize enough: Don't wait.
-
16:53 - 16:56You need at least 20 hours a week
of one-to-one teaching. -
16:56 - 16:59The thing is, autism comes
in different degrees. -
16:59 - 17:02About half of the people on the spectrum
are not going to learn to talk, -
17:02 - 17:05and they won't be working
in Silicon Valley. -
17:05 - 17:07That would not be a reasonable
thing for them to do. -
17:07 - 17:10But then you get these smart,
geeky kids with a touch of autism, -
17:10 - 17:13and that's where you've got
to get them turned on -
17:13 - 17:14with doing interesting things.
-
17:14 - 17:17I got social interaction
through shared interests -- -
17:17 - 17:21I rode horses with other kids,
I made model rockets with other kids, -
17:21 - 17:23did electronics lab with other kids.
-
17:23 - 17:27And in the '60s, it was gluing mirrors
onto a rubber membrane on a speaker -
17:27 - 17:29to make a light show.
-
17:29 - 17:31That was, like,
we considered that super cool. -
17:31 - 17:32(Laughter)
-
17:32 - 17:33CA: Is it unrealistic for them
-
17:33 - 17:38to hope or think that that child
loves them, as some might, as most, wish? -
17:38 - 17:40TG: Well, I tell you,
that child will be loyal, -
17:40 - 17:44and if your house is burning down,
they're going to get you out of it. -
17:44 - 17:47CA: Wow. So most people, if you ask them
what they're most passionate about, -
17:48 - 17:50they'd say things like,
"My kids" or "My lover." -
17:51 - 17:53What are you most passionate about?
-
17:53 - 17:56TG: I'm passionate
about that the things I do -
17:56 - 17:58are going to make
the world a better place. -
17:58 - 18:00When I have a mother
of an autistic child say, -
18:00 - 18:02"My kid went to college
because of your book -
18:02 - 18:03or one of your lectures,"
-
18:03 - 18:05that makes me happy.
-
18:05 - 18:07You know, the slaughter plants
I worked with in the '80s; -
18:07 - 18:09they were absolutely awful.
-
18:09 - 18:12I developed a really simple
scoring system for slaughter plants, -
18:12 - 18:14where you just measure outcomes:
-
18:14 - 18:15How many cattle fell down?
-
18:15 - 18:17How many got poked with the prodder?
-
18:17 - 18:19How many cattle
are mooing their heads off? -
18:19 - 18:20And it's very, very simple.
-
18:20 - 18:22You directly observe a few simple things.
-
18:22 - 18:24It's worked really well.
-
18:24 - 18:26I get satisfaction out of seeing stuff
-
18:26 - 18:29that makes real change in the real world.
-
18:29 - 18:31We need a lot more of that,
and a lot less abstract stuff. -
18:31 - 18:33CA: Totally.
-
18:33 - 18:38(Applause)
-
18:38 - 18:41CA: When we were talking on the phone,
one of the things you said -
18:41 - 18:42that really astonished me
-
18:42 - 18:45was that one thing you were passionate
about was server farms. -
18:46 - 18:47Tell me about that.
-
18:47 - 18:50TG: Well, the reason why I got really
excited when I read about that, -
18:50 - 18:52it contains knowledge.
-
18:52 - 18:54It's libraries.
-
18:54 - 18:57And to me, knowledge is something
that is extremely valuable. -
18:57 - 19:00So, maybe over 10 years ago
now, our library got flooded. -
19:00 - 19:03This is before the Internet
got really big. -
19:03 - 19:05And I was really upset
about all the books being wrecked, -
19:05 - 19:07because it was knowledge being destroyed.
-
19:07 - 19:12And server farms, or data centers,
are great libraries of knowledge. -
19:12 - 19:13CA: Temple, can I just say,
-
19:13 - 19:15it's an absolute delight
to have you at TED. -
19:15 - 19:16Thank you so much.
-
19:16 - 19:18TG: Well, thank you so much. Thank you.
-
19:18 - 19:23(Applause)
- Title:
- The world needs all kinds of minds
- Speaker:
- Temple Grandin
- Description:
-
Temple Grandin, diagnosed with autism as a child, talks about how her mind works -- sharing her ability to "think in pictures," which helps her solve problems that neurotypical brains might miss. She makes the case that the world needs people on the autism spectrum: visual thinkers, pattern thinkers, verbal thinkers, and all kinds of smart geeky kids.
- Video Language:
- English
- Team:
closed TED
- Project:
- TEDTalks
- Duration:
- 19:26
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Krystian Aparta commented on English subtitles for The world needs all kinds of minds | |
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Krystian Aparta edited English subtitles for The world needs all kinds of minds | |
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Krystian Aparta edited English subtitles for The world needs all kinds of minds | |
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Morton Bast edited English subtitles for The world needs all kinds of minds | |
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TED edited English subtitles for The world needs all kinds of minds | |
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TED added a translation |
Krystian Aparta
The English transcript was updated on 1/28/2017.