Do we see reality as it is? | Donald Hoffman | TED

2,749,390 views ・ 2015-06-11

TED


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00:12
I love a great mystery,
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and I'm fascinated by the greatest unsolved mystery in science,
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perhaps because it's personal.
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It's about who we are,
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and I can't help but be curious.
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The mystery is this:
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What is the relationship between your brain
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and your conscious experiences,
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such as your experience of the taste of chocolate
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or the feeling of velvet?
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Now, this mystery is not new.
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In 1868, Thomas Huxley wrote,
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"How it is that anything so remarkable as a state of consciousness comes about
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as the result of irritating nervous tissue
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is just as unaccountable
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as the appearance of the genie when Aladdin rubbed his lamp."
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Now, Huxley knew that brain activity
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and conscious experiences are correlated,
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but he didn't know why.
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To the science of his day, it was a mystery.
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In the years since Huxley,
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science has learned a lot about brain activity,
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but the relationship between brain activity
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and conscious experiences is still a mystery.
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Why? Why have we made so little progress?
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Well, some experts think that we can't solve this problem
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because we lack the necessary concepts and intelligence.
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We don't expect monkeys to solve problems in quantum mechanics,
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and as it happens, we can't expect our species to solve this problem either.
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Well, I disagree. I'm more optimistic.
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I think we've simply made a false assumption.
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Once we fix it, we just might solve this problem.
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Today, I'd like tell you what that assumption is,
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why it's false, and how to fix it.
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Let's begin with a question:
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Do we see reality as it is?
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I open my eyes
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and I have an experience that I describe as a red tomato a meter away.
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As a result, I come to believe that in reality,
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there's a red tomato a meter away.
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I then close my eyes, and my experience changes to a gray field,
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but is it still the case that in reality, there's a red tomato a meter away?
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I think so, but could I be wrong?
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Could I be misinterpreting the nature of my perceptions?
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We have misinterpreted our perceptions before.
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We used to think the Earth is flat, because it looks that way.
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Pythagorus discovered that we were wrong.
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Then we thought that the Earth is the unmoving center of the Universe,
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again because it looks that way.
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Copernicus and Galileo discovered, again, that we were wrong.
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Galileo then wondered if we might be misinterpreting our experiences
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in other ways.
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He wrote: "I think that tastes, odors, colors, and so on
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reside in consciousness.
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Hence if the living creature were removed, all these qualities would be annihilated."
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Now, that's a stunning claim.
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Could Galileo be right?
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Could we really be misinterpreting our experiences that badly?
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What does modern science have to say about this?
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Well, neuroscientists tell us that about a third of the brain's cortex
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is engaged in vision.
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When you simply open your eyes and look about this room,
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billions of neurons and trillions of synapses are engaged.
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Now, this is a bit surprising,
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because to the extent that we think about vision at all,
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we think of it as like a camera.
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It just takes a picture of objective reality as it is.
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Now, there is a part of vision that's like a camera:
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the eye has a lens that focuses an image on the back of the eye
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where there are 130 million photoreceptors,
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so the eye is like a 130-megapixel camera.
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But that doesn't explain the billions of neurons
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and trillions of synapses that are engaged in vision.
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What are these neurons up to?
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Well, neuroscientists tell us that they are creating, in real time,
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all the shapes, objects, colors, and motions that we see.
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It feels like we're just taking a snapshot of this room the way it is,
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but in fact, we're constructing everything that we see.
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We don't construct the whole world at once.
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We construct what we need in the moment.
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Now, there are many demonstrations that are quite compelling
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that we construct what we see.
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I'll just show you two.
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In this example, you see some red discs with bits cut out of them,
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but if I just rotate the disks a little bit,
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suddenly, you see a 3D cube pop out of the screen.
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Now, the screen of course is flat,
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so the three-dimensional cube that you're experiencing
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must be your construction.
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In this next example,
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you see glowing blue bars with pretty sharp edges
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moving across a field of dots.
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In fact, no dots move.
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All I'm doing from frame to frame is changing the colors of dots
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from blue to black or black to blue.
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But when I do this quickly,
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your visual system creates the glowing blue bars
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with the sharp edges and the motion.
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There are many more examples, but these are just two
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that you construct what you see.
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But neuroscientists go further.
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They say that we reconstruct reality.
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So, when I have an experience that I describe as a red tomato,
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that experience is actually an accurate reconstruction
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of the properties of a real red tomato
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that would exist even if I weren't looking.
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Now, why would neuroscientists say that we don't just construct,
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we reconstruct?
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Well, the standard argument given
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is usually an evolutionary one.
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Those of our ancestors who saw more accurately
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had a competitive advantage compared to those who saw less accurately,
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and therefore they were more likely to pass on their genes.
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We are the offspring of those who saw more accurately,
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and so we can be confident that, in the normal case,
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our perceptions are accurate.
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You see this in the standard textbooks.
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One textbook says, for example,
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"Evolutionarily speaking,
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vision is useful precisely because it is so accurate."
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So the idea is that accurate perceptions are fitter perceptions.
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They give you a survival advantage.
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Now, is this correct?
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Is this the right interpretation of evolutionary theory?
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Well, let's first look at a couple of examples in nature.
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The Australian jewel beetle
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is dimpled, glossy and brown.
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The female is flightless.
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The male flies, looking, of course, for a hot female.
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When he finds one, he alights and mates.
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There's another species in the outback,
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Homo sapiens.
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The male of this species has a massive brain
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that he uses to hunt for cold beer.
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(Laughter)
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And when he finds one, he drains it,
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and sometimes throws the bottle into the outback.
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Now, as it happens, these bottles are dimpled, glossy,
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and just the right shade of brown to tickle the fancy of these beetles.
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The males swarm all over the bottles trying to mate.
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They lose all interest in the real females.
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Classic case of the male leaving the female for the bottle.
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(Laughter) (Applause)
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The species almost went extinct.
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Australia had to change its bottles to save its beetles.
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(Laughter)
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Now, the males had successfully found females for thousands,
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perhaps millions of years.
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It looked like they saw reality as it is, but apparently not.
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Evolution had given them a hack.
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A female is anything dimpled, glossy and brown,
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the bigger the better.
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(Laughter)
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Even when crawling all over the bottle, the male couldn't discover his mistake.
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Now, you might say, beetles, sure, they're very simple creatures,
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but surely not mammals.
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Mammals don't rely on tricks.
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Well, I won't dwell on this, but you get the idea. (Laughter)
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So this raises an important technical question:
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Does natural selection really favor seeing reality as it is?
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Fortunately, we don't have to wave our hands and guess;
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evolution is a mathematically precise theory.
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We can use the equations of evolution to check this out.
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We can have various organisms in artificial worlds compete
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and see which survive and which thrive,
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which sensory systems are more fit.
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A key notion in those equations is fitness.
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Consider this steak:
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What does this steak do for the fitness of an animal?
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Well, for a hungry lion looking to eat, it enhances fitness.
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For a well-fed lion looking to mate, it doesn't enhance fitness.
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And for a rabbit in any state, it doesn't enhance fitness,
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so fitness does depend on reality as it is, yes,
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but also on the organism, its state and its action.
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Fitness is not the same thing as reality as it is,
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and it's fitness, and not reality as it is,
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that figures centrally in the equations of evolution.
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So, in my lab,
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we have run hundreds of thousands of evolutionary game simulations
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with lots of different randomly chosen worlds
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and organisms that compete for resources in those worlds.
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Some of the organisms see all of the reality,
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others see just part of the reality,
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and some see none of the reality,
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only fitness.
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Who wins?
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Well, I hate to break it to you, but perception of reality goes extinct.
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In almost every simulation,
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organisms that see none of reality
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but are just tuned to fitness
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drive to extinction all the organisms that perceive reality as it is.
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So the bottom line is, evolution does not favor veridical,
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or accurate perceptions.
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Those perceptions of reality go extinct.
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Now, this is a bit stunning.
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How can it be that not seeing the world accurately
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gives us a survival advantage?
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That is a bit counterintuitive.
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But remember the jewel beetle.
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The jewel beetle survived for thousands, perhaps millions of years,
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using simple tricks and hacks.
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What the equations of evolution are telling us
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is that all organisms, including us, are in the same boat as the jewel beetle.
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We do not see reality as it is.
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We're shaped with tricks and hacks that keep us alive.
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Still,
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we need some help with our intuitions.
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How can not perceiving reality as it is be useful?
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Well, fortunately, we have a very helpful metaphor:
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the desktop interface on your computer.
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Consider that blue icon for a TED Talk that you're writing.
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Now, the icon is blue and rectangular
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and in the lower right corner of the desktop.
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Does that mean that the text file itself in the computer is blue,
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rectangular, and in the lower right-hand corner of the computer?
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Of course not.
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Anyone who thought that misinterprets the purpose of the interface.
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It's not there to show you the reality of the computer.
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In fact, it's there to hide that reality.
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You don't want to know about the diodes
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and resistors and all the megabytes of software.
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If you had to deal with that, you could never write your text file
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or edit your photo.
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So the idea is that evolution has given us an interface
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that hides reality and guides adaptive behavior.
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Space and time, as you perceive them right now,
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are your desktop.
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Physical objects are simply icons in that desktop.
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There's an obvious objection.
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Hoffman, if you think that train coming down the track at 200 MPH
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is just an icon of your desktop,
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why don't you step in front of it?
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And after you're gone, and your theory with you,
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we'll know that there's more to that train than just an icon.
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Well, I wouldn't step in front of that train
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for the same reason
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that I wouldn't carelessly drag that icon to the trash can:
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not because I take the icon literally --
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the file is not literally blue or rectangular --
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but I do take it seriously.
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I could lose weeks of work.
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Similarly, evolution has shaped us
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with perceptual symbols that are designed to keep us alive.
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We'd better take them seriously.
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If you see a snake, don't pick it up.
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If you see a cliff, don't jump off.
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They're designed to keep us safe, and we should take them seriously.
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That does not mean that we should take them literally.
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That's a logical error.
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Another objection: There's nothing really new here.
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Physicists have told us for a long time that the metal of that train looks solid
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but really it's mostly empty space with microscopic particles zipping around.
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There's nothing new here.
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Well, not exactly.
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It's like saying, I know that that blue icon on the desktop
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is not the reality of the computer,
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but if I pull out my trusty magnifying glass and look really closely,
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I see little pixels,
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and that's the reality of the computer.
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Well, not really -- you're still on the desktop, and that's the point.
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Those microscopic particles are still in space and time:
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they're still in the user interface.
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So I'm saying something far more radical than those physicists.
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Finally, you might object,
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look, we all see the train,
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therefore none of us constructs the train.
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But remember this example.
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In this example, we all see a cube,
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but the screen is flat,
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so the cube that you see is the cube that you construct.
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We all see a cube
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because we all, each one of us, constructs the cube that we see.
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The same is true of the train.
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We all see a train because we each see the train that we construct,
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and the same is true of all physical objects.
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We're inclined to think that perception is like a window on reality as it is.
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The theory of evolution is telling us that this is an incorrect interpretation
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of our perceptions.
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Instead, reality is more like a 3D desktop
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that's designed to hide the complexity of the real world
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and guide adaptive behavior.
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Space as you perceive it is your desktop.
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Physical objects are just the icons in that desktop.
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We used to think that the Earth is flat because it looks that way.
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Then we thought that the Earth is the unmoving center of reality
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because it looks that way.
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We were wrong.
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We had misinterpreted our perceptions.
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Now we believe that spacetime and objects
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are the nature of reality as it is.
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The theory of evolution is telling us that once again, we're wrong.
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We're misinterpreting the content of our perceptual experiences.
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There's something that exists when you don't look,
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but it's not spacetime and physical objects.
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It's as hard for us to let go of spacetime and objects
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as it is for the jewel beetle to let go of its bottle.
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Why? Because we're blind to our own blindnesses.
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But we have an advantage over the jewel beetle:
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our science and technology.
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By peering through the lens of a telescope
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we discovered that the Earth is not the unmoving center of reality,
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and by peering through the lens of the theory of evolution
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we discovered that spacetime and objects
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are not the nature of reality.
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When I have a perceptual experience that I describe as a red tomato,
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I am interacting with reality,
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but that reality is not a red tomato and is nothing like a red tomato.
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Similarly, when I have an experience that I describe as a lion or a steak,
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I'm interacting with reality,
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but that reality is not a lion or a steak.
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And here's the kicker:
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When I have a perceptual experience that I describe as a brain, or neurons,
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I am interacting with reality,
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but that reality is not a brain or neurons
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and is nothing like a brain or neurons.
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And that reality, whatever it is,
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is the real source of cause and effect
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in the world -- not brains, not neurons.
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Brains and neurons have no causal powers.
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They cause none of our perceptual experiences,
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and none of our behavior.
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Brains and neurons are a species-specific set of symbols, a hack.
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What does this mean for the mystery of consciousness?
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Well, it opens up new possibilities.
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For instance,
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perhaps reality is some vast machine that causes our conscious experiences.
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I doubt this, but it's worth exploring.
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Perhaps reality is some vast, interacting network of conscious agents,
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simple and complex, that cause each other's conscious experiences.
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Actually, this isn't as crazy an idea as it seems,
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and I'm currently exploring it.
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But here's the point:
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Once we let go of our massively intuitive
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but massively false assumption about the nature of reality,
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it opens up new ways to think about life's greatest mystery.
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I bet that reality will end up turning out to be more fascinating
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and unexpected than we've ever imagined.
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The theory of evolution presents us with the ultimate dare:
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Dare to recognize that perception is not about seeing truth,
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it's about having kids.
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And by the way, even this TED is just in your head.
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Thank you very much.
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(Applause)
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Chris Anderson: If that's really you there, thank you.
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So there's so much from this.
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I mean, first of all, some people may just be profoundly depressed
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at the thought that, if evolution does not favor reality,
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I mean, doesn't that to some extent undermine all our endeavors here,
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all our ability to think that we can think the truth,
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possibly even including your own theory, if you go there?
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Donald Hoffman: Well, this does not stop us from a successful science.
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What we have is one theory that turned out to be false,
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that perception is like reality and reality is like our perceptions.
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That theory turns out to be false.
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Okay, throw that theory away.
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That doesn't stop us from now postulating all sorts of other theories
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about the nature of reality,
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so it's actually progress to recognize that one of our theories was false.
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So science continues as normal. There's no problem here.
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CA: So you think it's possible -- (Laughter) --
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This is cool, but what you're saying I think is it's possible that evolution
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can still get you to reason.
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DH: Yes. Now that's a very, very good point.
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The evolutionary game simulations that I showed were specifically about perception,
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and they do show that our perceptions have been shaped
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not to show us reality as it is,
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but that does not mean the same thing about our logic or mathematics.
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We haven't done these simulations, but my bet is that we'll find
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that there are some selection pressures for our logic and our mathematics
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to be at least in the direction of truth.
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I mean, if you're like me, math and logic is not easy.
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We don't get it all right, but at least the selection pressures are not
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uniformly away from true math and logic.
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So I think that we'll find that we have to look at each cognitive faculty
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one at a time and see what evolution does to it.
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What's true about perception may not be true about math and logic.
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CA: I mean, really what you're proposing is a kind of modern-day Bishop Berkeley
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interpretation of the world:
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consciousness causes matter, not the other way around.
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DH: Well, it's slightly different than Berkeley.
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Berkeley thought that, he was a deist, and he thought that the ultimate
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nature of reality is God and so forth,
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and I don't need to go where Berkeley's going,
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so it's quite a bit different from Berkeley.
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I call this conscious realism. It's actually a very different approach.
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CA: Don, I could literally talk with you for hours, and I hope to do that.
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Thanks so much for that. DH: Thank you. (Applause)
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