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