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Now let's go back to this distinction between system one and system two. Now earlier on,
you gave us a few examples that come effortlessly to us, so, "Two plus two equals" appears,
and recognizing an angry face just sort of happens. But there are groups of people that
we call experts who can do some pretty amazing feats effortlessly, tasks that you and I might
find difficult as novices. For example, chess experts can identify and remember just thousands
of chess moves, and they can quickly decide what the next move is way better than novices.
Radiologists, medical examiners, can put two mammograms, two breast scans, side by side
on the screen, and in just a blink of an eye, can tell you whether a person has cancer or
not. There's another example that you and I have worked on for fingerprint experts.
Again, if you put two fingerprints side by side on the screen to a fingerprint expert,
they can, in a blink of an eye, tell you whether those prints came from the same person or
two different people. Right. It's this idea of expertise, which
I think is really quite interesting from a systems perspective. When you're talking
about chess experts or diagnosticians, these things which were system two is now system
one. When the diagnostician or radiologist is looking at a breast scan, they can tell,
as you said, within 250 milliseconds, whether the scan is normal or abnormal. Now obviously
that didn't happen overnight. They can't just look at it without knowing anything about
a breast scan, and so they need to know what they're looking for, but after they've
accumulated thousands of experiences with that particular class of materials, then it
becomes a system one process, then it feels like it's just birth equipment, like it
just happening to them. That's the hallmark of expertise.
Now we talked earlier about pupil dilation. Well, the same thing actually happens. Imagine—so
going back to the example that I've provided before in terms of driving. Now the same thing
happens when you're learning how to drive for the first time. If I were to measure the
pupil dilation of a novice driver, imagine all of the things that they have to pay attention
to when you're learning how to drive, particularly if it's a manual transmission: the friction
point of the clutch; you have where the pedestrians are, where your indicators are, everything
else. You're paying attention to a million things at once. If I were to measure the pupil
size of the novice driver, they'd be like saucers, wouldn't they? But as you learn
how to drive, these things get easier and easier as you accumulate hours at the wheel.
Eventually, after 10 or 20 years of driving, you're eating a sandwich; you're carrying
on a conversation; you're talking on the phone; you're swerving between traffic.
It's like breathing. It feels like an extension of you, if anything. It's truly a system
one process. If you were to measure the size of the pupils of the expert driver, they'd
be just tiny by comparison to the novice driver. I think that's a really nice example of,
again, the difference between system one and system two and how that develops as you develop
expertise. Another really good example is faces. We're
all experts with faces. If we were to show people upright faces, you have all of these
tasks that you can instantly recognize whether it's male, whether it's female, even who
the person is. That's only because we have experience with upright faces that we have
experienced our entire lives. But if we turn the faces upside down, then it's a completely
different story. People are not good at recognizing upside-down faces, so much so that there's
a whole different bunch of demonstrations that I think are really quite impressive.
But this is only because we are not experts with upside down faces, only upright faces.
I asked Danny Kahneman about this idea of expertise, and you may have heard the number
10,000 hours, so it takes ten thousand hours to become an expert. I asked him about this
idea of expertise and how to turn novices into experts more quickly, and here's what he had to say.