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“Everything in my mind works like a search engine set for the image function.” – Temple Grandin in 2008, from an oral history at Colorado State University
You’ve probably heard the story that Einstein – whose name is synonymous with genius – didn’t seem destined for much when he was a small child. He was years behind other children when it came to learning to talk, he did horribly in school. It seems that Einstein’s brain just worked differently than most other people’s. And many people these days are saying that Einstein was probably autistic – one of them is Temple Grandin.
Temple Grandin is a professor of animal sciences who’s worked in the meat industry to invent kinder ways to lead cattle to slaughter. She’s also autistic – the high-functioning version known as Asperger’s Syndrome. Autism, in case you don’t know, is a brain disorder that tends to affect people’s social skills, like the ability to read facial expressions and body language, but it can also mean extraordinary talent in math, music and the visual arts.
Temple Grandin has become something of a celebrity of autism. She’s written books, given TED talks, and she’s been around the world to speak on the subject. Claire Danes has even played her in a movie about her life.
As part of our special series, The Experimenters–where we uncover interviews with the icons of science, technology, and innovation…– we found this interview in the holdings of Colorado State University, where Temple teaches. In this conversation, Temple’s at her best, explaining for the rest of us what it’s really like to have an autistic brain and how Einstein’s not the only genius who could have been dismissed for being different.
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Transcript provided by YouTube:
00:02
(tape rewinding)
00:04
(rhythmic instrumental music)
00:09
– [Voiceover] I read about someone who tested
00:11
a piece of equipment in their head for many days
00:14
to see if it was working.
00:16
Do you do that?
00:17
– [Voiceover] I think that was Tesla,
00:19
and it was spinning a dynamo,
00:21
dynamo for the electric power plant,
00:23
and then he could tell whether it was gonna be
00:25
off balance and not work.
00:27
And Tesla definitely today would be diagnosed autistic.
00:31
If you got rid of all of the genes that cause autism,
00:34
you’d be rid of Carl Sagan, you’d be rid of Mozart.
00:36
Einstein, today, would be labeled autistic.
00:39
He had no speech until he was three years old.
00:41
Half of all the people that work these big tech companies
00:44
have got at least a mild version of Asperger’s.
00:47
You didn’t have a little bit of those
00:48
Asperger autistic genes,
00:49
you wouldn’t even have any computers.
00:51
(gentle music)
00:59
I just loved flying things when I was child.
01:02
I loved model airplanes that flew.
01:05
I loved kites.
01:06
If it flew, I liked it.
01:08
And then when I got into high school, it was horses.
01:11
Horses, horses, and more horses.
01:13
(horses galloping)
01:15
I was diagnosed with Autism as a young child.
01:17
I had all of the full-blown autism symptoms:
01:19
no speech, screaming, just everything.
01:22
I was definitely fully autistic.
01:24
(gentle music)
01:28
My brain is visually indexed.
01:30
I’m basically totally visual.
01:31
I mean, everything in my mind works like a search engine
01:34
set for the image function,
01:36
and you type in a keyword, and I get pictures,
01:39
and it comes up in an associational sort of way.
01:42
I want you to give me some keywords,
01:45
and don’t give me something common like house or car
01:47
because everybody can visualize that.
01:50
– [Voiceover] Alfalfa.
01:52
– [Voiceover] Well, I saw a field of hay.
01:54
Now I’m seeing bales of hay
01:57
over where Mark’s horses are.
02:00
And I go, “Oops, that’s grass hay.
02:01
“That’s not alfalfa.”
02:04
Now I’m down at the zoo,
02:06
and they used to feed alfalfa hay to the animals.
02:07
Nancy used to complain it was way too rich.
02:10
But, okay, you’re wondering how did I get from alfalfa
02:12
to Phoenix Zoo.
02:13
Okay, it’s associational.
02:16
There is a logical progression there.
02:19
(guitar music)
02:23
I’ve designed handling facilities
02:25
for all the major meat companies.
02:27
Half of the cattle in this country,
02:28
when they go to a meat plant,
02:30
they’re handled in a center track restrainer system
02:32
that I designed.
02:33
And my first big breakthrough was when I designed
02:36
dip vat systems and they worked really, really well.
02:39
Beef Magazine and all the cattle magazines were there,
02:41
and one of them called it a work of art,
02:43
and I was just so happy.
02:45
People, you know, being autistic,
02:47
they thought I was really weird, but my stuff worked.
02:49
(guitar music)
02:51
I started doing my livestock handling class.
02:54
I also guest lectured on humane slaughter methods,
02:57
cattle handling, meat quality things,
03:00
livestock behavior for the veterinary college.
03:02
And my students in my class actually had to draw drawings.
03:06
One of the interesting things I’ve found
03:08
is that there are some students
03:09
that absolutely can’t draw, that have learning problems,
03:12
and I can tell by looking at the drawings
03:14
because, okay, instead of just drawing nice half-circles,
03:16
they’ve got it all over the place.
03:18
I just had a student this year in my class,
03:20
her drawings were really horrible.
03:23
I’m asking the student, “So what are you seeing?”
03:24
She says, “Well, I see just waves.”
03:26
And I asked her if she hated driving at night,
03:28
hated fluorescent lights.
03:29
Yes.
03:30
Print jiggle on the page? Yes.
03:32
I suggested she go out and try on
03:33
some different colored sunglasses,
03:34
and she went out and got some little pink sunglasses
03:37
and her economics grade went from a B to an A
03:39
because now she could see the charts.
03:41
Cheap sunglasses, a simple intervention.
03:44
Nobody knows why they work, but they do,
03:46
and there’s kids flunking out of school that don’t need to.
03:48
That’s the thing that’s so disgusting,
03:50
and the only reason I know about this
03:52
is because of the autism community.
03:55
One of the big concerns I have right now
03:57
is getting people on the spectrum into good careers.
03:59
Computer science and stuff like that.
04:02
As an autistic person, I am what I do
04:05
more than what I feel,
04:06
and I get a lot of satisfaction in life.
04:08
Okay, I design something and it works,
04:11
or I have a student say,
04:12
“Well, your course was really helpful to me.”
04:14
Or somebody likes one of my books, they say,
04:16
well, it helped them with their autistic child,
04:18
or it helped them to understand their dog.
04:20
That makes me really happy that I’m doing something
04:23
that does something constructive on the ground.
04:25
(guitar music)
04:32
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04:35
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04:58
(guitar music)
05:03
– [Voiceover] Asperger’s has always been here,
05:05
and it has another name, geek and nerd.
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And when you get into the really smart kids,
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I get worried about them getting held back by that label
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because, I mean, I know kind of odd maintenance guys
05:15
that are just brilliant in appliance.
05:17
Engineers, in fact, there’s two and a half times
05:19
as many engineers, family history of people with Asperger’s.
05:22
It’s always been here.
05:24
What I’ve noticed out in Silicon Valley,
05:26
there’s a lot of kids out there that are Asperger’s.
05:29
They’re geeks, they’re nerds,
05:31
and their parents kind of apprentice them
05:32
into the computer industry.
05:34
Well, when the kid is maybe 11 years old,
05:36
he’s taught programming.
05:37
By the time the kid’s in high school,
05:38
he’s doing Mom and Dad’s work on the computer.
05:41
And they’re just apprenticed in.
05:43
Those are the lucky ones,
05:45
and they’re all over the tech industry.
05:47
And then I go out somewhere away from Silicon Valley,
05:49
and I see a guy come up to the book table.
05:51
He’s got a big ponytail
05:53
and ought to be going to computer school,
05:55
and they want to put him on welfare.
05:57
I say, “No, he needs to be going to computer school.”
05:59
(guitar music)
06:02
– [Voiceover] This episode was also supported
06:03
by the Alfred P. Sloan Foundation.
06:06
Enhancing public understanding of science, technology,
06:10
and economic performance.
06:12
More information on Sloan at sloan.org.
06:17
(guitar music)
06:20
Subtitles by the Amara.org community
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This post was previously published on Blank on Blank.