WEBVTT - Ep61 "When should you (not) trust your intuition?"

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<v Speaker 1>Today we're going to talk about intuition. Why do you

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<v Speaker 1>experience a feeling when you walk into a place that

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<v Speaker 1>you don't like this restaurant and you want to go

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<v Speaker 1>to this other restaurant, Or you trust this person but

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<v Speaker 1>you don't quite trust that person. Or you might have

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<v Speaker 1>a sense that something is wrong with your pet or

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<v Speaker 1>your child, even if you can't articulate what the issue is.

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<v Speaker 1>So in all these cases, what are the signals that

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<v Speaker 1>the brain is picking up on and what fraction of

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<v Speaker 1>those signals does your consciousness have access to? And importantly,

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<v Speaker 1>does intuition sometimes steer us wrong? What we call intuition

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<v Speaker 1>is not something to be trusted automatically. It quite often

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<v Speaker 1>steers us the wrong way. So what are the features

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<v Speaker 1>of the situation to look for where you might feel like, Okay,

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<v Speaker 1>my intuition is more likely to be useful here than

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<v Speaker 1>in this other situation, where my intuition is more likely

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<v Speaker 1>to steer me wrong. And what is the future of

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<v Speaker 1>intuition as we build new technologies that might take the

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<v Speaker 1>myriad signals racing around in the darkness of our brains

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<v Speaker 1>and bodies and bring them to light. Welcome to inner

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<v Speaker 1>Cosmos with me. David Eagleman. I'm a neuroscientist and an

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<v Speaker 1>author at Stanford, and I've spent my career at the

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<v Speaker 1>intersection between how the brain works and how we experience life.

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<v Speaker 1>Today's episode is about that gut feeling that we call intuition. Now,

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<v Speaker 1>if you've been listening to this podcast for a while

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<v Speaker 1>or reading my books, you've definitely heard me talk about

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<v Speaker 1>all the stuff that transpires unconsciously in the unconscious mind.

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<v Speaker 1>This is all the computations we have no access to

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<v Speaker 1>and really no acquaintance with. So think about how you walk,

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<v Speaker 1>all the sophisticated coordination of muscles and balance that's required there.

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<v Speaker 1>Until very recently, that was an impossibly difficult task to

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<v Speaker 1>get robots to do this. But ever since you were

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<v Speaker 1>two years old or so, you've been doing it just fine. Now,

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<v Speaker 1>you can't articulate how you walk and how you keep

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<v Speaker 1>your balance. It's much like riding a bicycle in that way.

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<v Speaker 1>And presumably you can do several things while you're walking

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<v Speaker 1>or riding a bike. You can have a conversation or

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<v Speaker 1>maybe punch out a text on your phone while you're

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<v Speaker 1>doing it. But if I ask you to describe to

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<v Speaker 1>me what you are doing with all that beautiful sophisticated musculature,

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<v Speaker 1>it's simply not possible. You put the years of work

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<v Speaker 1>into learning how to walk and how to ride a bicycle,

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<v Speaker 1>and it resulted in expertise, but and inability to articulate

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<v Speaker 1>what was going on there under the hood. And it's

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<v Speaker 1>like this with most of the actions that you take,

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<v Speaker 1>whether that's deciding what you want to eat, or who

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<v Speaker 1>you're going to marry, or how you're identifying a smell

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<v Speaker 1>from some mixture of molecules or whatever. You just find

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<v Speaker 1>that your brain can magically do it because all these

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<v Speaker 1>operations are happening in silence, in the darkness of this

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<v Speaker 1>vast computational vault. So your conscious mind is like the

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<v Speaker 1>broom closet in the mansion of your brain, and all

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<v Speaker 1>of the rest involves work that's happening that you can't see.

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<v Speaker 1>And why is that the case. It's because the data

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<v Speaker 1>being pulled in from all your senses is way too

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<v Speaker 1>detailed to be useful. Your retina at the back of

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<v Speaker 1>your eye that transmits visual input at about ten million

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<v Speaker 1>bits per second, which is similar to an ethernet connection.

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<v Speaker 1>But if you had conscious access to all that data,

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<v Speaker 1>you wouldn't be able to operate at your level of

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<v Speaker 1>space and time. At your level, what you care about

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<v Speaker 1>is where the heck did I put my toothbrush? Or

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<v Speaker 1>what can I read on this menu? Or where is

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<v Speaker 1>my friend's face in this crowd of people? You just

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<v Speaker 1>want simple, high level answers to important questions. You want

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<v Speaker 1>the abstractions, not the details. So your brain takes in

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<v Speaker 1>enormous amounts of data, but what you want is the headline.

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<v Speaker 1>In Silicon Valley where I live, for example, all my

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<v Speaker 1>venture capitalist friends talk about this as pattern matching. They

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<v Speaker 1>have thousands of new companies coming in to give them pitches,

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<v Speaker 1>and in each of those pitches there are a million

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<v Speaker 1>details that they can't know, but they think, you know.

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<v Speaker 1>In my career, I've seen all these pitches and patterns emerge.

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<v Speaker 1>I don't even know why. I sometimes feel like, wow,

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<v Speaker 1>this team of founders is really great, or this team

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<v Speaker 1>of founders is never going to make it, even though

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<v Speaker 1>the idea seems strong. So those assessments rely on their intuition,

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<v Speaker 1>and what they're trying to do is make their intuition

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<v Speaker 1>good and refine it and refine it with practice. So

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<v Speaker 1>in many situations. In all of our lives, we have

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<v Speaker 1>lots of practice at something and we see a new

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<v Speaker 1>situation and we make an assessment like yes or no,

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<v Speaker 1>or good or bad, or take it or leave it.

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<v Speaker 1>And the extraordinary thing about brains is that they can

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<v Speaker 1>summarize a complex situation and say, look, although there are

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<v Speaker 1>a million details here, the big picture is that you

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<v Speaker 1>should approach that or avoid that. And you rarely have

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<v Speaker 1>access to the details about why. Sometimes you might think

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<v Speaker 1>you have access, but that is often just a retrospective story. Now,

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<v Speaker 1>in neuroscience jargon call this unconscious inference, meaning you are

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<v Speaker 1>inferring something about the situation and you're not doing it consciously,

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<v Speaker 1>presumably because of the amount of data that is involved.

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<v Speaker 1>And in popular parlance we call this intuition. But intuition

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<v Speaker 1>sometimes gets a bad name because it's often hijacked by

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<v Speaker 1>spiritual guru types who say you should always trust your intuition.

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<v Speaker 1>Now here's the truth. You should not always trust your intuition.

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<v Speaker 1>After all, your intuition is not a perfect predictor. In

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<v Speaker 1>Silicon Valley, for example, four out of ten companies that

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<v Speaker 1>are backed by those venture capitalists, they lose money or

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<v Speaker 1>they go bankrupt, and many times the intuitive decisions that

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<v Speaker 1>we make, let's say about relationships, turn out to be

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<v Speaker 1>bad decisions. Just because the computations are happening under the

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<v Speaker 1>hood and they're vast and complex, it doesn't mean they're

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<v Speaker 1>guaranteed to be correct. Intuition is quite often wrong or

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<v Speaker 1>makes a decision based on things that you wouldn't feel

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<v Speaker 1>proud of doing if you had access to it. For example,

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<v Speaker 1>what if your intuition tells you not to sell your

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<v Speaker 1>house to this guy, but it's because of some deep down,

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<v Speaker 1>unconscious racism that you weren't even aware of. What if

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<v Speaker 1>your intuition tells you that there's something creepy about that

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<v Speaker 1>guy over there, and you don't want to do business

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<v Speaker 1>with him, and you say, look, I'm just trusting my

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<v Speaker 1>gut on this one. But it turns out the poor

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<v Speaker 1>guy has early Parkinson's disease, and so as a result,

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<v Speaker 1>he's unable to make expressive facial expressions and instead his

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<v Speaker 1>face is mostly blank, and that creeps you out because

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<v Speaker 1>you don't get what's happening. Because let's say you're not

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<v Speaker 1>a clinician. Or what if you're sitting on a jury

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<v Speaker 1>and you think there's something about this guy that makes

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<v Speaker 1>me feel like he should be put away for a

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<v Speaker 1>long time. But it turns out it's because he's not

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<v Speaker 1>handsome but ugly. There's an extensive litery sure on this

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<v Speaker 1>that ugly people get longer sentences than good looking people.

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<v Speaker 1>So the idea that we should always trust our intuition

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<v Speaker 1>turns out to be mistaken. But the good news is

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<v Speaker 1>it turns out that we can be a little bit

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<v Speaker 1>smarter about when to look to our intuition or ignore it.

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<v Speaker 1>Researchers have been working to figure out the circumstances under

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<v Speaker 1>which your intuition might be more trustworthy or less trustworthy.

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<v Speaker 1>So for this I decided to have a conversation with

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<v Speaker 1>my friend and colleague Joel Pearson. Joel's a professor of

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<v Speaker 1>cognitive neuroscience at the University of New South Wales in Sydney, Australia.

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<v Speaker 1>He's recently written a book about this called The Intuition Toolkit.

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<v Speaker 1>So Joel and I sat down together to dig into

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<v Speaker 1>this topic. Joel tell us about intuition, Yeah, so a

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<v Speaker 1>topic I love.

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<v Speaker 2>We've been studying it for over a decade now, and

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<v Speaker 2>I've recently just published a book the Intuition Toolkit. So

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<v Speaker 2>a decade ago we started looking at the landscape of intuition,

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<v Speaker 2>and people define it as a spiritual thing. Other people

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<v Speaker 2>in psychology and neuroscience defind it very very differently. You

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<v Speaker 2>have all these different definitions. So I wanted to come

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<v Speaker 2>up with a clear definition, the most practical and what

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<v Speaker 2>I think is the most useful definition, and that is

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<v Speaker 2>the productive learnt use of unconscious information for better decisions

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<v Speaker 2>and actions.

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<v Speaker 1>By the way, does intuition always give better this is me?

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<v Speaker 3>Okay, yeah, that's how I'm so. So this was part

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<v Speaker 3>of the problem.

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<v Speaker 2>So I'm going to introduce a couple of words. So

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<v Speaker 2>this is what I did.

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<v Speaker 3>At the beginning.

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<v Speaker 2>I came up with another word called misintuition. Right, I know,

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<v Speaker 2>it sounds like a miss universe contest, but it's not.

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<v Speaker 2>I wanted a word that so I wanted to sort

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<v Speaker 2>of split apart the misfiring of intuition when it goes wrong,

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<v Speaker 2>because there are times when you should absolutely not use

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<v Speaker 2>it and other times where it is useful. So I

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<v Speaker 2>wanted to split that apart and came up with this

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<v Speaker 2>other word misintuition and intuition. So that's why I define

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<v Speaker 2>intuition as a productive use right of unconscious information and

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<v Speaker 2>it's learnt, right, So we can't we'll get to in

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<v Speaker 2>a second, I'm sure, but you can only use intuition

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<v Speaker 2>really for something you have experience with and that turns

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<v Speaker 2>out to be important.

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<v Speaker 1>So give us, give us more of a sense of

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<v Speaker 1>this then. Yeah.

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<v Speaker 2>So the example I like to give is you walk

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<v Speaker 2>into a cafe, right, and you at the second you

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<v Speaker 2>walk through the door, your brain's processing a thousand different things, right,

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<v Speaker 2>the music, what the staff are wearing, if there's tablecloths,

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<v Speaker 2>no tablecloths, the temperature, how clean the floor is, smells, this,

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<v Speaker 2>the hundreds of things, and you're not consciously aware of them,

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<v Speaker 2>all right, and as you walk in, you're going to go, yeah,

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<v Speaker 2>let's get coffee here, or let's go across the road

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<v Speaker 2>to the other place, right, And that people are going

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<v Speaker 2>to sometimes will report as they don't know why, but

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<v Speaker 2>this is something off that they felt sometimes in the gut, right,

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<v Speaker 2>the gut response.

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<v Speaker 3>That's kind of the way I tend to introduce intuition.

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<v Speaker 2>And what's happening in that those few seconds the second

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<v Speaker 2>as you walk in the door, is that things in

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<v Speaker 2>the environment are triggering positive or negative associations, and that

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<v Speaker 2>is based on past learning, right, the classic Pavlovs dogs,

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<v Speaker 2>classical conditioning.

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<v Speaker 3>Right.

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<v Speaker 2>So you go to enough cafes where it's really hot

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<v Speaker 2>in there and there's bad music and this coffee is terrible,

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<v Speaker 2>your brain will learn that. Whether you consciously remember that

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<v Speaker 2>or not, your brain will start to learn these associations.

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<v Speaker 1>Right.

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<v Speaker 2>If you get food poisoning and sick, it's going to

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<v Speaker 2>learn it really quickly. And so you go to enough cafes,

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<v Speaker 2>you go to one hundreds of thousands, your brain will

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<v Speaker 2>learn which cues the environment predicts good or bad food

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<v Speaker 2>or coffee. And that's what's happening. So all the things

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<v Speaker 2>in the environment are triggering red flag, green flag, right,

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<v Speaker 2>and you feel it and you don't know why, right,

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<v Speaker 2>and you either get the coffee or you go somewhere else. Yes,

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<v Speaker 2>So that's I think the best way to think about it.

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<v Speaker 1>Cool. And this is why I think about intuition as

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<v Speaker 1>long as it's just having a wide angle lens on

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<v Speaker 1>the There's a lot of interest in neuroscience obviously about

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<v Speaker 1>cognition where you're deciding, okay, what's the next chest move

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<v Speaker 1>here and so on? And that's what all lots of

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<v Speaker 1>AI is about, is how do I make a really

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<v Speaker 1>smart decision here? But but in a sense with intuition,

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<v Speaker 1>it's I'm going to take in the whole cafe, and

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<v Speaker 1>you know something's going to bubble up saying go or stay.

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<v Speaker 1>So I'm really interested in this issue of misintuition though, because,

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<v Speaker 1>as you phrase it, because there are lots of times

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<v Speaker 1>that people have intuitions that are totally incorrect, like, oh,

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<v Speaker 1>this coffee shop, there's something that creeps me out about that.

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<v Speaker 1>Like the guy in the corner there, I feel like

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<v Speaker 1>he's a mass murderer, even though maybe the guy has

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<v Speaker 1>you know, something like Parkinson's disease, where people have you know,

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<v Speaker 1>blank facial expressions. I've seen this a bunch of times

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<v Speaker 1>where someone has Parkinson's and other people think, oh my gosh,

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<v Speaker 1>that guy's creepy. There's something wrong with that guy because

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<v Speaker 1>they don't know about it. Right, Okay, So so give

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<v Speaker 1>us a sense of misintuition and how when you feel

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<v Speaker 1>like his intuition mostly right, mostly wrong, totally random.

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<v Speaker 3>So I'm glad you are.

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<v Speaker 2>So the second half of the book, he unpacks based

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<v Speaker 2>on these five rules and I use the word the

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<v Speaker 2>acronym smile so people can try to remember this right.

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<v Speaker 2>So the first half of the book is really about

0:13:13.840 --> 0:13:15.440
<v Speaker 2>the science we've done, the lab, how you measure it,

0:13:15.440 --> 0:13:17.960
<v Speaker 2>how you create the lab. And it's not always good.

0:13:17.960 --> 0:13:19.920
<v Speaker 2>Sometimes you should use it, sometimes you shouldn't. And that's

0:13:19.920 --> 0:13:22.560
<v Speaker 2>what the rules unpack. So let's sort of tell people

0:13:22.840 --> 0:13:26.760
<v Speaker 2>when it's safe to trust their intuition. And an example

0:13:26.800 --> 0:13:30.040
<v Speaker 2>of this I give often is Steve Jobs, who talked

0:13:30.040 --> 0:13:33.080
<v Speaker 2>about using his intuition at Apple, both for product design

0:13:33.120 --> 0:13:34.960
<v Speaker 2>and running the company in all different you know, and

0:13:35.000 --> 0:13:36.480
<v Speaker 2>he was a master at it. He went to India

0:13:36.520 --> 0:13:39.000
<v Speaker 2>and studied it. He was really into it when it

0:13:39.040 --> 0:13:41.240
<v Speaker 2>came to his health decisions later in life, and some

0:13:41.280 --> 0:13:44.200
<v Speaker 2>of his other decisions not so much right. And that's

0:13:44.400 --> 0:13:45.880
<v Speaker 2>interesting because.

0:13:46.000 --> 0:13:47.559
<v Speaker 1>Wait, can you impack that for people who don't know

0:13:47.559 --> 0:13:48.040
<v Speaker 1>about his health.

0:13:48.600 --> 0:13:51.240
<v Speaker 2>So he died from cancer in the end, he actually

0:13:51.600 --> 0:13:54.400
<v Speaker 2>or his doctors and his family wanted him to get treatment,

0:13:54.440 --> 0:13:57.160
<v Speaker 2>to get an operation, and he said no, he didn't

0:13:57.160 --> 0:13:59.920
<v Speaker 2>want to get have that sort of be invaded surgically

0:14:00.120 --> 0:14:01.920
<v Speaker 2>like that, and he put off the treatment, put it off,

0:14:01.920 --> 0:14:04.800
<v Speaker 2>and put it off, until it's basically too late. And

0:14:05.400 --> 0:14:09.480
<v Speaker 2>this idea that intuition is specific to a particular environment

0:14:09.600 --> 0:14:11.960
<v Speaker 2>or context, and it makes sense because the learning that

0:14:11.960 --> 0:14:13.800
<v Speaker 2>I'm saying that it seems to be based on is

0:14:13.880 --> 0:14:16.480
<v Speaker 2>context specific. And this is one of those rules is

0:14:16.480 --> 0:14:19.120
<v Speaker 2>actually the E at the end of smile for environment.

0:14:19.440 --> 0:14:20.360
<v Speaker 3>So if you learn.

0:14:20.200 --> 0:14:23.960
<v Speaker 2>It at you know, you craft your intuition expertly at work.

0:14:24.360 --> 0:14:26.680
<v Speaker 2>When you go home, when you're on holiday in a

0:14:26.720 --> 0:14:29.320
<v Speaker 2>different context, different environment, that learning is not going to

0:14:29.400 --> 0:14:31.920
<v Speaker 2>apply so well. So we need to be careful and

0:14:31.960 --> 0:14:34.560
<v Speaker 2>we change the environment because when you learn something in

0:14:34.760 --> 0:14:37.240
<v Speaker 2>the environment gets sort of attached to that. Right when

0:14:37.280 --> 0:14:40.040
<v Speaker 2>you're studying for the exam in your bedroom, not only

0:14:40.120 --> 0:14:43.320
<v Speaker 2>are you learning all information, you're learning the information imprinted

0:14:43.440 --> 0:14:45.720
<v Speaker 2>to your bedroom. So we have to be careful with that.

0:14:45.800 --> 0:14:48.160
<v Speaker 2>So that's an example of where you can be led astray.

0:14:48.240 --> 0:14:51.520
<v Speaker 2>Now s the beginning smile is self awareness, and that

0:14:51.600 --> 0:14:55.440
<v Speaker 2>really is a trigger for emotions. So we shouldn't trust

0:14:55.440 --> 0:14:58.520
<v Speaker 2>our intuition when we're emotional and we're stressed, anxious, or

0:14:58.560 --> 0:15:02.720
<v Speaker 2>depressed for a number of reasons for something called arousalor misattribution,

0:15:03.360 --> 0:15:05.200
<v Speaker 2>which is something so humans are not very good at

0:15:05.240 --> 0:15:08.680
<v Speaker 2>understanding where particular feelings or stress or emotion come from,

0:15:08.720 --> 0:15:10.800
<v Speaker 2>and we can go we can deep dive into this.

0:15:10.800 --> 0:15:13.480
<v Speaker 2>This classic experiments in psychology that are now a lot

0:15:13.560 --> 0:15:16.920
<v Speaker 2>of data to support this. Right, But basically, you know,

0:15:16.920 --> 0:15:18.600
<v Speaker 2>if there was a snake right here on the floor,

0:15:18.880 --> 0:15:21.320
<v Speaker 2>we both get adrenaline, we'd both be sweating and scared

0:15:21.360 --> 0:15:24.160
<v Speaker 2>of the snake, and then later on we confuse that

0:15:24.200 --> 0:15:27.400
<v Speaker 2>and say, man, that podcast was amazing, Right, we'd confuse

0:15:27.440 --> 0:15:30.160
<v Speaker 2>the emotion for the situation with the emotion from the snake.

0:15:30.160 --> 0:15:32.080
<v Speaker 2>We're just bad to understanding the source of these things.

0:15:32.280 --> 0:15:35.760
<v Speaker 2>So that's a number one rule. If you're emotional stressed, don't.

0:15:35.560 --> 0:15:38.360
<v Speaker 3>Follow your intuition. Just just put it aside, follow the

0:15:38.400 --> 0:15:41.480
<v Speaker 3>logic as best you can. Right. So that's s.

0:15:42.360 --> 0:15:45.480
<v Speaker 2>Then M is for mastery, and that we mentioned learning before,

0:15:45.840 --> 0:15:48.760
<v Speaker 2>So that's really that you need to build these associations

0:15:48.800 --> 0:15:51.560
<v Speaker 2>in your brain between the environment, the triggers, and good

0:15:51.680 --> 0:15:54.600
<v Speaker 2>or bad outcomes. So you've never played chess before, you

0:15:54.640 --> 0:15:57.240
<v Speaker 2>can't sit down and just be a grand master intuitive

0:15:57.280 --> 0:15:59.960
<v Speaker 2>chess player, right. Your brain needs to learn the associate

0:16:00.240 --> 0:16:03.840
<v Speaker 2>between patterns outcomes, what's good what's bad. Likewise, for anything

0:16:03.880 --> 0:16:05.800
<v Speaker 2>so you need to sort of put the time in

0:16:06.600 --> 0:16:09.920
<v Speaker 2>and build that experience. How much experience ten thousand hours,

0:16:10.760 --> 0:16:13.960
<v Speaker 2>not so much, We don't know, right, depends how emotional

0:16:13.960 --> 0:16:14.400
<v Speaker 2>things are.

0:16:14.840 --> 0:16:15.000
<v Speaker 4>Right.

0:16:15.000 --> 0:16:17.080
<v Speaker 2>We know that something like PTSD, you can learn something

0:16:17.280 --> 0:16:20.000
<v Speaker 2>very strong, you know, in a moment it was just

0:16:20.000 --> 0:16:21.960
<v Speaker 2>good or bad coffee. It's going to take a lot

0:16:21.960 --> 0:16:24.360
<v Speaker 2>of learning, a lot of iterations. But if something is

0:16:24.440 --> 0:16:27.440
<v Speaker 2>highly emotional, then you'll learn it very very quickly. So yeah,

0:16:27.520 --> 0:16:30.160
<v Speaker 2>so you need to have experience with that. And now

0:16:30.560 --> 0:16:33.040
<v Speaker 2>it's a really interesting one. I is really for impulses,

0:16:33.080 --> 0:16:36.240
<v Speaker 2>but also addiction. So I heard started hearing from people

0:16:36.320 --> 0:16:41.400
<v Speaker 2>that things that have addictive nature, so you alcohol, drugs,

0:16:41.400 --> 0:16:44.560
<v Speaker 2>but also social media, checking your email. So behavioral addictions.

0:16:44.960 --> 0:16:48.560
<v Speaker 2>People have this urge is strong pull towards them, and

0:16:48.600 --> 0:16:51.560
<v Speaker 2>they can confuse that or call it intuition. But I

0:16:51.600 --> 0:16:53.280
<v Speaker 2>didn't want that to be part of intuition. I think

0:16:53.320 --> 0:16:55.280
<v Speaker 2>that's something a little bit different. So one of the

0:16:55.320 --> 0:16:57.800
<v Speaker 2>rules is just to stay clear of anything that's addictive

0:16:58.240 --> 0:17:01.880
<v Speaker 2>and don't confuse that with intuition, right, including food. And

0:17:01.880 --> 0:17:04.359
<v Speaker 2>that's a controversial one because there's a whole movement of

0:17:04.400 --> 0:17:06.960
<v Speaker 2>intuitive eating, which is a hot topic which we can

0:17:07.000 --> 0:17:07.720
<v Speaker 2>deep dive into it.

0:17:07.760 --> 0:17:09.480
<v Speaker 1>What is that movement? So there's a whole idea.

0:17:09.520 --> 0:17:11.280
<v Speaker 2>There's all these books on intuitive eating, and this is

0:17:11.359 --> 0:17:13.640
<v Speaker 2>this idea that you just follow how you feel about

0:17:13.640 --> 0:17:15.760
<v Speaker 2>the food, right, you and you eat as much as

0:17:15.800 --> 0:17:18.200
<v Speaker 2>you want, whenever you want, and your body will naturally

0:17:18.240 --> 0:17:21.800
<v Speaker 2>come to an equilibrium more or less, right, I'm summarizing it.

0:17:21.880 --> 0:17:25.440
<v Speaker 2>The problem is modern food's highly engineered, right, billions of

0:17:25.480 --> 0:17:28.560
<v Speaker 2>dollars going into making food basically like a drug addictive,

0:17:28.840 --> 0:17:31.040
<v Speaker 2>and that's a very dangerous thing. I'm against that idea

0:17:31.880 --> 0:17:33.679
<v Speaker 2>unless you're out in the country and you're eating a

0:17:33.680 --> 0:17:36.280
<v Speaker 2>whole food diet and maybe that that can work. And

0:17:36.320 --> 0:17:39.120
<v Speaker 2>then L is for low probability, but it really it's

0:17:39.200 --> 0:17:41.320
<v Speaker 2>for anything around probabilities and numbers.

0:17:41.880 --> 0:17:42.040
<v Speaker 1>Right.

0:17:42.119 --> 0:17:45.840
<v Speaker 2>So psychology textbooks are full of examples where people just

0:17:45.880 --> 0:17:49.760
<v Speaker 2>get these probability tests and it's completely wrong, right, And

0:17:49.840 --> 0:17:53.520
<v Speaker 2>our brains just don't process numbers very well, or probabilities particularly,

0:17:54.400 --> 0:17:58.320
<v Speaker 2>And so again, anything around probabilities and numbers, stay away

0:17:58.320 --> 0:17:59.840
<v Speaker 2>from intuition, right.

0:17:59.720 --> 0:18:02.119
<v Speaker 3>Just don't don't use your intuition for anything around numbers.

0:18:02.560 --> 0:18:05.600
<v Speaker 1>Right, as in, I don't want to drive over the

0:18:05.640 --> 0:18:09.720
<v Speaker 1>bridge because I've seen lots of stories of bridges collapsing.

0:18:10.080 --> 0:18:10.359
<v Speaker 3>Yeah.

0:18:10.359 --> 0:18:13.760
<v Speaker 1>In fact, it's terribly low probability. People get scared to

0:18:13.840 --> 0:18:17.000
<v Speaker 1>get the gut feeling of not wanting to do that.

0:18:17.160 --> 0:18:18.880
<v Speaker 3>Is so I live in Sydney.

0:18:19.000 --> 0:18:21.400
<v Speaker 2>Sometimes I'll call it the shark attack rule right where

0:18:21.720 --> 0:18:24.679
<v Speaker 2>the sharks, you know, I think you're more likely to

0:18:24.720 --> 0:18:27.040
<v Speaker 2>be get this For an AUSSI stat more likely to

0:18:27.080 --> 0:18:29.600
<v Speaker 2>be injured by a kangaroo than a shark, right, and

0:18:29.640 --> 0:18:31.840
<v Speaker 2>certainly more likely to be hurt in a car crash

0:18:32.000 --> 0:18:34.720
<v Speaker 2>than a shark. But people don't think twice about getting

0:18:34.720 --> 0:18:36.399
<v Speaker 2>in the car or patting a kangaroo, but they'll be

0:18:36.880 --> 0:18:38.800
<v Speaker 2>you know, once you start imagining a sharks, you know,

0:18:38.840 --> 0:18:40.879
<v Speaker 2>in the water, then you get reoody scared of it.

0:18:40.920 --> 0:18:43.760
<v Speaker 2>So for a range offer reasons, we're just not good

0:18:43.760 --> 0:18:47.400
<v Speaker 2>at following the numbers and probabilities. Emotions other things creep in.

0:18:47.840 --> 0:18:51.000
<v Speaker 2>So anything around that don't follow the feelings, don't follow intuition.

0:18:51.119 --> 0:18:53.280
<v Speaker 2>Stick with the numbers and the probabilities, you know.

0:18:53.359 --> 0:18:55.640
<v Speaker 1>One example that here in Silicon Valley is with self

0:18:55.720 --> 0:18:59.440
<v Speaker 1>driving cars. The probabilities and self driving cars are terrific,

0:18:59.480 --> 0:19:01.880
<v Speaker 1>as in you're much less likely to get an accident

0:19:01.880 --> 0:19:05.000
<v Speaker 1>with those. But there's something about control and the other

0:19:05.240 --> 0:19:08.480
<v Speaker 1>emotions involved there that make it so people just can't

0:19:08.560 --> 0:19:12.879
<v Speaker 1>do it. They'd rather have a much higher risk drive

0:19:13.160 --> 0:19:14.359
<v Speaker 1>than do something safe.

0:19:14.760 --> 0:19:17.320
<v Speaker 3>Yeah it's a funny, Yeah, yeah, it's an odd thing.

0:19:17.680 --> 0:19:19.679
<v Speaker 1>So the l is what does the advice to people though,

0:19:19.720 --> 0:19:21.840
<v Speaker 1>that if it's a low probability event, don't try.

0:19:22.040 --> 0:19:26.440
<v Speaker 2>Anything abound probabilities, smoking, climate change, or anything around numbers

0:19:26.440 --> 0:19:30.200
<v Speaker 2>and probabilities. Don't feel it, don't like follow the numbers,

0:19:30.240 --> 0:19:32.840
<v Speaker 2>do the math, just follow whatever the numbers say, don't

0:19:32.880 --> 0:19:34.200
<v Speaker 2>try and feel your way through it.

0:19:34.680 --> 0:19:34.880
<v Speaker 1>Right.

0:19:35.160 --> 0:19:36.640
<v Speaker 3>And then E was the environment.

0:19:37.000 --> 0:19:40.399
<v Speaker 2>So I mentioned before with Steve Jobs that the learning

0:19:40.480 --> 0:19:42.400
<v Speaker 2>is context and environment specific.

0:19:42.480 --> 0:19:43.040
<v Speaker 3>So when you're on.

0:19:43.080 --> 0:19:46.119
<v Speaker 2>Holiday, right, I'm in a different country now, you know,

0:19:46.160 --> 0:19:47.840
<v Speaker 2>I look to the wrong side, and I feel like

0:19:47.840 --> 0:19:50.920
<v Speaker 2>I should look to the to the to the right

0:19:50.960 --> 0:19:53.800
<v Speaker 2>and right the cars coming from the left here in America,

0:19:54.080 --> 0:19:56.240
<v Speaker 2>and they're all you know, when there's there's all kinds

0:19:56.280 --> 0:19:59.159
<v Speaker 2>of very subtle things like that when you're traveling that

0:19:59.280 --> 0:20:02.040
<v Speaker 2>I have to really pay attention to, not just do

0:20:02.119 --> 0:20:05.119
<v Speaker 2>my usual intuitive thing and sort of think, go back

0:20:05.160 --> 0:20:07.119
<v Speaker 2>to sort of first principles and think logically about what

0:20:07.160 --> 0:20:07.560
<v Speaker 2>I'm doing.

0:20:07.600 --> 0:20:09.160
<v Speaker 3>So that's smile.

0:20:09.320 --> 0:20:11.520
<v Speaker 2>There's these five rules that fall out of the science

0:20:11.800 --> 0:20:12.560
<v Speaker 2>around intuition.

0:20:12.960 --> 0:20:14.800
<v Speaker 1>It's just so curiosity. Why did you call it smile

0:20:14.920 --> 0:20:17.000
<v Speaker 1>instead of miles or slime?

0:20:20.000 --> 0:20:22.280
<v Speaker 3>My wife helped me with that. Essentially came up with that.

0:20:22.320 --> 0:20:24.040
<v Speaker 3>I wanted something positive because a lot of.

0:20:24.040 --> 0:20:25.879
<v Speaker 2>The rules that don't do this don't use your intuition,

0:20:25.960 --> 0:20:28.800
<v Speaker 2>Like I like the idea of smile before you intuit,

0:20:29.200 --> 0:20:32.239
<v Speaker 2>smile before you use your intuition, and the idea that

0:20:32.440 --> 0:20:35.040
<v Speaker 2>of people to have a daily practice and you know,

0:20:35.160 --> 0:20:37.440
<v Speaker 2>getting really used to those rules, like you know, going

0:20:37.440 --> 0:20:40.200
<v Speaker 2>to the gym or something in practicing right, I suggest

0:20:40.280 --> 0:20:43.000
<v Speaker 2>people have a sort of an intuition practice diary or

0:20:43.119 --> 0:20:45.480
<v Speaker 2>a table where they'll keep track of things and learn

0:20:45.560 --> 0:20:47.600
<v Speaker 2>to use it. So one of the things that people,

0:20:47.640 --> 0:20:50.560
<v Speaker 2>you know, small decisions. They may not use intuition when

0:20:50.600 --> 0:20:53.320
<v Speaker 2>they're going to get married or get divorced, or change

0:20:53.640 --> 0:20:55.919
<v Speaker 2>live somewhere else, move overseas or a new job or

0:20:55.960 --> 0:20:58.360
<v Speaker 2>leave a job. All of a sudden, they start talking about, oh,

0:20:58.400 --> 0:21:00.879
<v Speaker 2>my gut says this, I'm feeling it this way or

0:21:00.880 --> 0:21:03.840
<v Speaker 2>that way. And they're not well practiced at following these

0:21:03.920 --> 0:21:06.360
<v Speaker 2>kind of rules. Might they might be finding highly anxious, right,

0:21:06.400 --> 0:21:07.560
<v Speaker 2>and their intuition.

0:21:07.280 --> 0:21:09.000
<v Speaker 3>Is not going to work when they're anxious.

0:21:09.040 --> 0:21:11.280
<v Speaker 2>So I like the idea of starting with small decisions

0:21:11.600 --> 0:21:13.159
<v Speaker 2>and working up to the larger ones.

0:21:13.359 --> 0:21:17.560
<v Speaker 1>That's excellent. That's so good because people write about intuition,

0:21:17.760 --> 0:21:21.960
<v Speaker 1>and I feel like they often give way too much

0:21:22.000 --> 0:21:24.440
<v Speaker 1>credit to intuition. So what you're doing is so important

0:21:24.440 --> 0:21:26.199
<v Speaker 1>to say, look, here are the times, listen do it

0:21:26.200 --> 0:21:28.840
<v Speaker 1>here at the times not to listen to it, because

0:21:28.880 --> 0:21:31.600
<v Speaker 1>you might drift into the realm of misintuition there, which

0:21:31.640 --> 0:21:34.639
<v Speaker 1>people do all the time. And obviously, people with anxieties

0:21:34.680 --> 0:21:41.639
<v Speaker 1>about things or misapprehensions about things, including you know, whatever

0:21:41.680 --> 0:21:44.000
<v Speaker 1>it is, maybe they're divorced from reality or they just

0:21:44.400 --> 0:21:49.400
<v Speaker 1>overrepresent something. People will often follow their gut but incorrectly.

0:21:49.560 --> 0:21:52.520
<v Speaker 1>So this is a really important thing that you're doing here.

0:21:52.160 --> 0:21:54.639
<v Speaker 2>If you're anxious about flying and getting on the plane,

0:21:54.640 --> 0:21:56.679
<v Speaker 2>it's probably not your intuition telling you something is going

0:21:56.760 --> 0:22:00.280
<v Speaker 2>to happen, unless you know you're a mechanic and line

0:22:00.280 --> 0:22:02.600
<v Speaker 2>mechanic and you're an expert, right, It's not that it's something.

0:22:02.600 --> 0:22:04.960
<v Speaker 2>It's just your anxiety, so don't confuse the two.

0:22:05.400 --> 0:22:06.840
<v Speaker 1>How do you measure this in the lab?

0:22:07.119 --> 0:22:09.840
<v Speaker 2>Yes, we started off on this quest almost a decade

0:22:09.840 --> 0:22:13.720
<v Speaker 2>ago now, well actually no a decade, so we had

0:22:13.720 --> 0:22:16.000
<v Speaker 2>this sort of rough definition of intuition and we've been

0:22:16.040 --> 0:22:18.879
<v Speaker 2>studying consciousness. So we do a lot of consciousness research

0:22:18.920 --> 0:22:22.520
<v Speaker 2>in my lab, and we have ways of rendering things unconscious.

0:22:22.560 --> 0:22:23.840
<v Speaker 2>What do I mean by that? So we have a

0:22:23.840 --> 0:22:26.479
<v Speaker 2>way to show people a picture in one eye and

0:22:26.480 --> 0:22:29.439
<v Speaker 2>then flash bright colors in the other eye, and that

0:22:29.480 --> 0:22:32.720
<v Speaker 2>can render that picture completely unconscious. So it's kind of

0:22:32.800 --> 0:22:34.320
<v Speaker 2>like just me doing this, right, I see you and

0:22:34.440 --> 0:22:36.000
<v Speaker 2>this eye and my hand there.

0:22:36.240 --> 0:22:39.800
<v Speaker 1>For the audio audience, he's covering his one of his eyes.

0:22:39.880 --> 0:22:42.320
<v Speaker 2>Yes, so if you're on YouTube there, yes, So that

0:22:42.440 --> 0:22:45.040
<v Speaker 2>puts the visual system into this binoch the rival with

0:22:45.080 --> 0:22:47.680
<v Speaker 2>this this state of competition. Right, And if the thing

0:22:47.720 --> 0:22:49.919
<v Speaker 2>and in the other eyes is bright enough and you

0:22:49.960 --> 0:22:52.359
<v Speaker 2>make it flicker, you'll never see the picture in the

0:22:52.400 --> 0:22:52.960
<v Speaker 2>other eye.

0:22:53.280 --> 0:22:56.120
<v Speaker 1>So let me just unpack this, which is that you've

0:22:56.119 --> 0:22:58.480
<v Speaker 1>got two eyes. They normally fuse their picture so you

0:22:58.520 --> 0:23:00.879
<v Speaker 1>see the world, but in fact, you can in the

0:23:00.920 --> 0:23:03.720
<v Speaker 1>laboratory give a stimulus to one eye and different stimulus

0:23:03.760 --> 0:23:05.720
<v Speaker 1>to the other eye, and you can have them compete.

0:23:06.200 --> 0:23:08.679
<v Speaker 1>And by doing this cleverally, you can make it so

0:23:08.720 --> 0:23:12.239
<v Speaker 1>that the input going into one eye you're not conscious of,

0:23:12.440 --> 0:23:15.960
<v Speaker 1>even though your visual system still sees it, just FAPs exactly. Yeah.

0:23:16.040 --> 0:23:19.159
<v Speaker 2>So I call this inception, and we're doing it with

0:23:19.400 --> 0:23:22.240
<v Speaker 2>emotional images. I call it emotional inception, like the Christopher

0:23:22.280 --> 0:23:24.600
<v Speaker 2>Nolan film. Right, So we don't we're not hacking dreams

0:23:24.720 --> 0:23:26.800
<v Speaker 2>or anything, but we're getting and this is what we need.

0:23:26.840 --> 0:23:28.560
<v Speaker 2>It's like the ingredients you need if you want to

0:23:28.560 --> 0:23:30.639
<v Speaker 2>study intuition. How can you get something into the brain

0:23:31.080 --> 0:23:33.160
<v Speaker 2>and you know it's unconscious And this is a way

0:23:33.160 --> 0:23:35.120
<v Speaker 2>of doing that. So what we do is we show

0:23:35.160 --> 0:23:39.040
<v Speaker 2>people sort of nasty images snakes, spiders, sharks, guns, these

0:23:39.119 --> 0:23:40.920
<v Speaker 2>kind of things in one eye and we have a bright,

0:23:41.080 --> 0:23:43.880
<v Speaker 2>flickering stimulus to the other eye and so they never

0:23:43.960 --> 0:23:46.639
<v Speaker 2>see the scary image, but we know their brain is

0:23:46.680 --> 0:23:49.439
<v Speaker 2>processing it. We can put a little thing around their

0:23:49.480 --> 0:23:51.159
<v Speaker 2>finger and we can see that they start sweating a

0:23:51.200 --> 0:23:53.280
<v Speaker 2>little bit more in those conditions when there's an emotional

0:23:53.280 --> 0:23:55.879
<v Speaker 2>thing there, so we know what is being processed. So

0:23:55.960 --> 0:23:58.960
<v Speaker 2>that's the first ingredient. The second ingredient that needs to

0:23:58.960 --> 0:24:01.480
<v Speaker 2>be a decision right to see making. So at the

0:24:01.520 --> 0:24:04.119
<v Speaker 2>same time, we have this noisy cloud of dots just

0:24:04.160 --> 0:24:06.120
<v Speaker 2>moving all over the place on the screen, a bit

0:24:06.200 --> 0:24:08.639
<v Speaker 2>like the old school analog TVs right, but there's that

0:24:09.000 --> 0:24:11.520
<v Speaker 2>fuzzy snow so a bit like that, but it's slightly

0:24:11.600 --> 0:24:14.280
<v Speaker 2>drifting left or right a little bit more, but it's

0:24:14.359 --> 0:24:16.240
<v Speaker 2>kind of hard to pick if it's going left or right.

0:24:16.560 --> 0:24:18.800
<v Speaker 2>So super simple, all people have to do is say, oh,

0:24:18.840 --> 0:24:19.600
<v Speaker 2>it's going left.

0:24:20.200 --> 0:24:21.960
<v Speaker 3>That's it. That's the end of a trial.

0:24:22.000 --> 0:24:23.960
<v Speaker 2>Then we do it again and again, and so they

0:24:24.000 --> 0:24:25.800
<v Speaker 2>don't know we're doing this, but at the same time

0:24:25.840 --> 0:24:27.640
<v Speaker 2>they're deciding whether it's moving or left or right, we're

0:24:27.640 --> 0:24:31.439
<v Speaker 2>showing them a positive or a negative image. And then

0:24:31.480 --> 0:24:35.080
<v Speaker 2>what we see over time is their brain starts to

0:24:35.080 --> 0:24:38.280
<v Speaker 2>associate the positive or negative with the direction, and their

0:24:38.280 --> 0:24:39.440
<v Speaker 2>performance starts to go up.

0:24:39.480 --> 0:24:40.719
<v Speaker 3>They get better and better at it.

0:24:41.240 --> 0:24:43.520
<v Speaker 2>Right, their reaction times get faster and faster, so their

0:24:43.560 --> 0:24:46.600
<v Speaker 2>accuracy goes up, their responsors are faster, and if you

0:24:46.600 --> 0:24:49.679
<v Speaker 2>ask them how confident they are, their confidence goes up

0:24:49.760 --> 0:24:53.040
<v Speaker 2>as well. Right, And then if you give them a

0:24:53.119 --> 0:24:56.240
<v Speaker 2>questionnaire and say, how do you make decisions in everyday life?

0:24:56.600 --> 0:24:57.919
<v Speaker 3>You know, outside the lab, the.

0:24:57.920 --> 0:25:00.600
<v Speaker 2>People that are report making more intuitor decisions are much

0:25:00.640 --> 0:25:02.680
<v Speaker 2>better or they get it more of a boost from

0:25:02.720 --> 0:25:06.159
<v Speaker 2>these unconscious images. So so I know to a lot

0:25:06.160 --> 0:25:07.720
<v Speaker 2>of people they're like, wow, this is kind of a

0:25:07.760 --> 0:25:10.520
<v Speaker 2>strange way to measure intuition. And it is, but I

0:25:10.520 --> 0:25:13.680
<v Speaker 2>think it's an interesting sort of technology in a way

0:25:13.720 --> 0:25:16.520
<v Speaker 2>to measure and dissect something in the lab so we

0:25:16.560 --> 0:25:19.080
<v Speaker 2>can understand it, right, but it is different to how a.

0:25:19.080 --> 0:25:21.080
<v Speaker 3>Lot of people may think about intuition.

0:25:21.160 --> 0:25:23.679
<v Speaker 1>And tell us about intuition and AI.

0:25:24.200 --> 0:25:25.520
<v Speaker 2>Yeah, So at the end of the book and the

0:25:25.560 --> 0:25:27.760
<v Speaker 2>very last the last chapter, I started talking about this

0:25:28.359 --> 0:25:30.800
<v Speaker 2>and it's something that came up early and journalists would

0:25:30.800 --> 0:25:34.840
<v Speaker 2>ask this question. And I realized that the way I'm

0:25:34.840 --> 0:25:37.960
<v Speaker 2>defining it right, unconscious learning. Things in the world become

0:25:37.960 --> 0:25:42.160
<v Speaker 2>associated with positive negative outcomes in your brain. Unconscious learning.

0:25:42.680 --> 0:25:46.720
<v Speaker 2>That's kind of how these new versions of AI operate.

0:25:46.840 --> 0:25:47.040
<v Speaker 3>Right.

0:25:47.640 --> 0:25:50.640
<v Speaker 2>We don't think they're conscious and they're learning, so unconscious

0:25:50.720 --> 0:25:53.760
<v Speaker 2>learning and they're learning this thing predicts this thing positive

0:25:53.840 --> 0:25:57.080
<v Speaker 2>negative outcome. So there's something interesting between those two that

0:25:57.560 --> 0:26:01.960
<v Speaker 2>it's just a nice parallel there, and that's interesting itself.

0:26:02.240 --> 0:26:05.120
<v Speaker 2>The second is the question of will we be able

0:26:05.160 --> 0:26:08.600
<v Speaker 2>to outsource our intuition to an AI assistant?

0:26:08.840 --> 0:26:09.000
<v Speaker 1>Right?

0:26:09.040 --> 0:26:09.760
<v Speaker 3>And could we you.

0:26:09.760 --> 0:26:11.560
<v Speaker 2>Know, if we have all these wearables and we're going

0:26:11.600 --> 0:26:14.080
<v Speaker 2>to get a lot more of them soon, could the

0:26:14.160 --> 0:26:17.800
<v Speaker 2>AI use all these wearables to basically tell us what

0:26:17.840 --> 0:26:18.879
<v Speaker 2>our intuition is saying?

0:26:18.960 --> 0:26:19.200
<v Speaker 3>Right?

0:26:19.359 --> 0:26:22.040
<v Speaker 2>So can we outsource it? And this, you know, would

0:26:22.040 --> 0:26:24.000
<v Speaker 2>be interesting to everyone, but i'd be interesting to certain

0:26:24.040 --> 0:26:29.200
<v Speaker 2>populations who don't have people with mental disorders or addiction

0:26:29.359 --> 0:26:32.280
<v Speaker 2>is one interesting area where we know decision making doesn't

0:26:32.320 --> 0:26:35.240
<v Speaker 2>work that well in people that have an addiction, and

0:26:35.280 --> 0:26:39.679
<v Speaker 2>intuition cerainly doesn't work. So could you outsource intuition to

0:26:39.760 --> 0:26:41.959
<v Speaker 2>an AI, your personal AI assistant?

0:26:42.000 --> 0:26:43.920
<v Speaker 3>I think it's a really fascinating question.

0:26:44.440 --> 0:26:47.280
<v Speaker 1>So we're actually doing something at my company in your sensory,

0:26:47.359 --> 0:26:50.640
<v Speaker 1>which is an interesting version of this. So, just as

0:26:50.760 --> 0:26:54.000
<v Speaker 1>one example, there were some students at us SEE who

0:26:54.040 --> 0:26:58.120
<v Speaker 1>took the risk band and for people with autism who

0:26:58.160 --> 0:27:00.520
<v Speaker 1>have a hard time reading the emotional of the person

0:27:00.560 --> 0:27:03.800
<v Speaker 1>they're talking to, the wristband listens in real time and

0:27:03.920 --> 0:27:07.280
<v Speaker 1>makes a machine learning decision, Oh the person is happy, sad, angry,

0:27:07.359 --> 0:27:09.960
<v Speaker 1>things like that, and then just buzzes to tell you ways,

0:27:10.040 --> 0:27:12.640
<v Speaker 1>oh that person. So if you're a kid with autism

0:27:12.640 --> 0:27:15.240
<v Speaker 1>who can't read that, you're just being told the answer

0:27:15.400 --> 0:27:15.760
<v Speaker 1>to that.

0:27:16.440 --> 0:27:18.360
<v Speaker 3>And do you see learning? Do they get better as

0:27:18.400 --> 0:27:18.720
<v Speaker 3>I learned?

0:27:18.840 --> 0:27:21.240
<v Speaker 1>I don't know yet, but presumably because you're just telling

0:27:21.280 --> 0:27:24.400
<v Speaker 1>them like, hey, this guy's angry, so to adjust your

0:27:24.440 --> 0:27:27.320
<v Speaker 1>behavior appropriately. So it's just a memorization thing. But I'll

0:27:27.359 --> 0:27:29.280
<v Speaker 1>give you another example. Something we did is we got

0:27:29.280 --> 0:27:32.959
<v Speaker 1>these smart watches that measure horr ate and herd variability

0:27:33.000 --> 0:27:36.520
<v Speaker 1>and galvinx can response and so on, and we use

0:27:36.560 --> 0:27:39.320
<v Speaker 1>the API to take that data out and feed it

0:27:39.359 --> 0:27:42.880
<v Speaker 1>into this wristband that vibrates in different ways so that

0:27:42.960 --> 0:27:46.520
<v Speaker 1>these invisible states of your body can become visible to you.

0:27:46.600 --> 0:27:49.840
<v Speaker 1>So you can actually feel, oh, it's not this thing

0:27:50.040 --> 0:27:53.439
<v Speaker 1>that is making you know. It's not the cafe's fault,

0:27:53.880 --> 0:27:56.560
<v Speaker 1>but it's that I drank too much coffee earlier, or

0:27:56.640 --> 0:27:59.960
<v Speaker 1>whatever the issue is. You can start actually reading these

0:28:00.000 --> 0:28:04.120
<v Speaker 1>signals from your bodies in ways that are typically invisible

0:28:04.119 --> 0:28:06.280
<v Speaker 1>to us. I'll tell you the really interesting spread we did,

0:28:06.280 --> 0:28:09.240
<v Speaker 1>which is we fed that data through the Internet to

0:28:09.320 --> 0:28:10.639
<v Speaker 1>the risk band. And the reason we did that is

0:28:10.680 --> 0:28:13.520
<v Speaker 1>so that, for example, your spouse could wear the watch

0:28:13.640 --> 0:28:17.359
<v Speaker 1>and you're wearing the vibrating wristband, so you're feeling your

0:28:17.400 --> 0:28:21.560
<v Speaker 1>spouse's physiology, so you know she's feeling nervous or stressed,

0:28:22.040 --> 0:28:23.440
<v Speaker 1>even if you're on the other side of the world.

0:28:23.520 --> 0:28:24.879
<v Speaker 3>I love it, she'll cut the argument.

0:28:26.040 --> 0:28:28.680
<v Speaker 2>But no, this is this must have an application for

0:28:28.720 --> 0:28:32.159
<v Speaker 2>you know, emotional intelligence and emotional awareness. So people have

0:28:32.200 --> 0:28:34.919
<v Speaker 2>some people don't have good emotional awareness. They're not aware

0:28:34.960 --> 0:28:37.080
<v Speaker 2>when they're angry or stressed, right, So this is part

0:28:37.080 --> 0:28:39.960
<v Speaker 2>of that s that first rule for using intuition. People

0:28:40.000 --> 0:28:42.280
<v Speaker 2>just don't realize when they're stressed or anxious. But this

0:28:42.320 --> 0:28:43.959
<v Speaker 2>could be a really interesting way of sort of training

0:28:44.000 --> 0:28:46.760
<v Speaker 2>people up in this self awareness of their own physiology.

0:28:46.840 --> 0:28:48.640
<v Speaker 1>I like them, you know. I think about the time.

0:28:48.800 --> 0:28:50.560
<v Speaker 1>I just heard a statistic this morning. I don't know

0:28:50.600 --> 0:28:53.200
<v Speaker 1>if it's true, but it's true. Truth to you though,

0:28:53.240 --> 0:28:56.880
<v Speaker 1>But which is that eighty five percent of the jobs

0:28:56.960 --> 0:29:00.000
<v Speaker 1>that will exist when our kids are adults don't even

0:29:00.200 --> 0:29:03.160
<v Speaker 1>exists yet, And so who knows if the number is

0:29:03.160 --> 0:29:05.560
<v Speaker 1>exactly right, But it strikes me as Wow, what a

0:29:05.600 --> 0:29:08.720
<v Speaker 1>world we're entering into. But in this context, the world

0:29:08.880 --> 0:29:11.479
<v Speaker 1>of maybe everyone's just going to have the opportunity be

0:29:11.600 --> 0:29:15.160
<v Speaker 1>much more emotionally intelligent because we'll all tap into this

0:29:15.160 --> 0:29:18.120
<v Speaker 1>stuff and get these signals and no because my you know,

0:29:18.160 --> 0:29:21.160
<v Speaker 1>Apple Vision proglasses or something. We'll say, hey, eaglman, your

0:29:21.280 --> 0:29:24.320
<v Speaker 1>heart rates going up. You're gotving skin response to spiking.

0:29:24.600 --> 0:29:27.360
<v Speaker 1>And I'll say, oh, okay, I wouldn't have known that,

0:29:27.480 --> 0:29:30.560
<v Speaker 1>but now, thank goodness, I'm being told that piece of cake.

0:29:30.800 --> 0:29:32.479
<v Speaker 2>I hope so, because I mean this data showing that

0:29:32.520 --> 0:29:36.480
<v Speaker 2>emotional intelligence has actually gone down of the last decade.

0:29:36.080 --> 0:29:37.560
<v Speaker 3>And it's been linked to tech use.

0:29:37.680 --> 0:29:40.280
<v Speaker 2>So it's hard to pull out the causation here, but

0:29:40.320 --> 0:29:43.560
<v Speaker 2>there's some that it suggested the more young people use tech,

0:29:43.600 --> 0:29:45.320
<v Speaker 2>they're lower their emotional intelligences.

0:29:45.360 --> 0:29:47.920
<v Speaker 1>Anyway, Well good, so we'll rescue it with tech things.

0:29:47.960 --> 0:29:51.760
<v Speaker 1>Oh yeah, yeah, that's fascinating. Cool. Yeah. I think I

0:29:51.800 --> 0:29:54.640
<v Speaker 1>think this as you and I study our whole careers.

0:29:55.200 --> 0:29:59.240
<v Speaker 1>The brain is this entire cosmos happening in there. There's

0:29:59.360 --> 0:30:01.800
<v Speaker 1>so much information that you're picking up from the world

0:30:02.200 --> 0:30:05.680
<v Speaker 1>you have no access to. We are so low bandwidth

0:30:05.760 --> 0:30:09.200
<v Speaker 1>in terms of our conscious understanding of any of this stuff.

0:30:09.560 --> 0:30:12.920
<v Speaker 1>But because the data is in there, it should be extractable.

0:30:13.440 --> 0:30:17.360
<v Speaker 1>And what that means is that what intuition becomes in

0:30:17.480 --> 0:30:19.880
<v Speaker 1>fifteen years is maybe you know, you'll write a sequel

0:30:19.920 --> 0:30:22.120
<v Speaker 1>to the book with this new world.

0:30:22.440 --> 0:30:25.320
<v Speaker 2>But yeah, I mean interception, right, That's kind of what

0:30:25.360 --> 0:30:27.480
<v Speaker 2>it is. It's you can think of it as as

0:30:27.520 --> 0:30:30.560
<v Speaker 2>our bodies, our physiology tapping in, so our bodies have

0:30:30.640 --> 0:30:33.720
<v Speaker 2>this access to the unconscious information in our brains, which

0:30:33.720 --> 0:30:35.800
<v Speaker 2>sounds like a funny way to put it. Our bodies

0:30:35.840 --> 0:30:38.400
<v Speaker 2>get access to something we don't if we use our consciousness,

0:30:38.480 --> 0:30:40.560
<v Speaker 2>but it kind of does so by tapping into your

0:30:40.760 --> 0:30:44.480
<v Speaker 2>gut response, your heart rate, your sweating or not, you're

0:30:44.720 --> 0:30:47.360
<v Speaker 2>getting this extra source of information, the unconscious.

0:30:47.520 --> 0:30:48.360
<v Speaker 3>And it's kind of like that.

0:30:48.400 --> 0:30:52.080
<v Speaker 2>It's just sort of using interception, this internal perceptual stet

0:30:52.080 --> 0:30:54.960
<v Speaker 2>of the body to get access to extra information. And

0:30:55.000 --> 0:30:57.280
<v Speaker 2>who wouldn't want that if we can trust.

0:30:56.960 --> 0:30:59.720
<v Speaker 1>It exactly, because maybe you can think of an example,

0:31:00.120 --> 0:31:02.280
<v Speaker 1>thinking off the top of my head, where we confuse

0:31:03.040 --> 0:31:08.040
<v Speaker 1>our emotional state or intuition about what's you know, we

0:31:08.080 --> 0:31:10.760
<v Speaker 1>misinterpret what's happening you gave the example before and if

0:31:10.760 --> 0:31:12.680
<v Speaker 1>there's a snake on the floor and then and everything. Wow,

0:31:12.720 --> 0:31:15.520
<v Speaker 1>that was a really exciting podcast. But we're we're mixing,

0:31:15.600 --> 0:31:17.960
<v Speaker 1>we're confleting some things. I mean, it is a very

0:31:18.000 --> 0:31:18.760
<v Speaker 1>exciting podcast.

0:31:18.760 --> 0:31:22.040
<v Speaker 2>But a great story, a great story from the book

0:31:22.120 --> 0:31:24.080
<v Speaker 2>is I went on a date many before I got married,

0:31:24.560 --> 0:31:26.160
<v Speaker 2>and it was a first date and we went rock

0:31:26.200 --> 0:31:29.000
<v Speaker 2>climbing one of those indoor rock climbing gyms, right, and

0:31:29.040 --> 0:31:31.360
<v Speaker 2>we're climbing and falling and blaying and then we swap

0:31:31.400 --> 0:31:33.440
<v Speaker 2>and it's exciting. It's like wow, and we were like,

0:31:33.440 --> 0:31:36.560
<v Speaker 2>the chemistry is amazing. And next time we meet up,

0:31:36.560 --> 0:31:39.520
<v Speaker 2>it's like, huh, not so much. Turns out we were

0:31:39.520 --> 0:31:41.840
<v Speaker 2>not suited for each other at all. And I was like,

0:31:42.160 --> 0:31:44.560
<v Speaker 2>but it felt so amazing that first date, and it

0:31:44.680 --> 0:31:47.360
<v Speaker 2>struck It puzzled me for years, and I was like, ah,

0:31:47.520 --> 0:31:51.840
<v Speaker 2>arousal misattribution, that's exactly what's going on. All the adrenaline

0:31:51.880 --> 0:31:53.360
<v Speaker 2>from the falling and the climbing. We thought it was

0:31:53.360 --> 0:31:54.960
<v Speaker 2>coming from each other and it wasn't.

0:31:55.000 --> 0:31:57.880
<v Speaker 1>So yeah, right, aren't There are these studies where you

0:31:57.960 --> 0:32:00.600
<v Speaker 1>have people crossing a rope bridge over a cliff and

0:32:00.680 --> 0:32:03.680
<v Speaker 1>you have the female assistant with the clipboard who asks

0:32:03.720 --> 0:32:07.040
<v Speaker 1>the person questions while they're on the rope bridge, and

0:32:07.080 --> 0:32:09.200
<v Speaker 1>then later the question is something about like, hey, would

0:32:09.240 --> 0:32:11.040
<v Speaker 1>you would you like to get her number and go

0:32:11.080 --> 0:32:13.960
<v Speaker 1>on a date something like that, versus the exact same

0:32:14.000 --> 0:32:16.200
<v Speaker 1>assistant with the same clipboard asks the same questions but

0:32:16.240 --> 0:32:18.400
<v Speaker 1>in a boring situation on campus.

0:32:18.760 --> 0:32:21.000
<v Speaker 2>Yes, it's the same thing. Yeah, the rickety bridge experience.

0:32:21.000 --> 0:32:24.600
<v Speaker 2>It's very family rickety bridge experiment. And yeah that people

0:32:24.680 --> 0:32:28.040
<v Speaker 2>just confuse these feelings with drenaline from the height with

0:32:28.120 --> 0:32:29.160
<v Speaker 2>a person in front of them.

0:32:29.360 --> 0:32:32.920
<v Speaker 1>It's yeah, yes, So we're entering a very exciting future

0:32:32.960 --> 0:32:36.640
<v Speaker 1>as we get better sensors and better AI being able

0:32:36.680 --> 0:32:40.320
<v Speaker 1>to essentially summarize things and tell them to our low

0:32:40.400 --> 0:32:42.760
<v Speaker 1>band with conscious mind and just say, hey, pal, here's

0:32:42.800 --> 0:32:46.080
<v Speaker 1>how you're feeling. You know, don't confuse this. So maybe

0:32:46.080 --> 0:32:48.280
<v Speaker 1>you'll have to add another letter to your smile.

0:32:49.480 --> 0:32:50.960
<v Speaker 3>Yeah, I think absolutely, David.

0:32:51.040 --> 0:32:53.080
<v Speaker 2>I think the things we can imagine now this is

0:32:53.120 --> 0:32:55.320
<v Speaker 2>like a passion of mine in my labs is measuring

0:32:55.360 --> 0:32:58.320
<v Speaker 2>things in the mind that we thought were too hard

0:32:58.320 --> 0:32:59.760
<v Speaker 2>to measure, right, And I call it like a blood

0:32:59.760 --> 0:33:03.000
<v Speaker 2>test for the mind. We want objective, reliable measurements of

0:33:03.120 --> 0:33:05.720
<v Speaker 2>mental things like a blood test that we can rely on.

0:33:06.080 --> 0:33:09.360
<v Speaker 2>When you interview someone, give them a questionnaire. It's good,

0:33:09.440 --> 0:33:12.280
<v Speaker 2>but it's not that reliable. We need this objective test.

0:33:12.320 --> 0:33:14.480
<v Speaker 2>It's a different way of thinking about tech and technology,

0:33:14.840 --> 0:33:15.880
<v Speaker 2>but it can be done now.

0:33:15.880 --> 0:33:16.720
<v Speaker 3>We can do this now.

0:33:17.040 --> 0:33:20.360
<v Speaker 1>The book is The Intuition Toolkit. And thank you so

0:33:20.400 --> 0:33:21.040
<v Speaker 1>much for me to Joel.

0:33:21.080 --> 0:33:21.720
<v Speaker 3>I'll pleasure David.

0:33:21.760 --> 0:33:23.200
<v Speaker 2>And before we go, I want to say thank you

0:33:23.520 --> 0:33:27.440
<v Speaker 2>for inspiring me with expanding what academia can be and

0:33:27.520 --> 0:33:30.560
<v Speaker 2>writing books and TV shows and companies and all the

0:33:30.560 --> 0:33:33.800
<v Speaker 2>cool things you do. I think it's groundbreaking in that

0:33:33.840 --> 0:33:36.440
<v Speaker 2>you're breaking open the classic academic model.

0:33:36.480 --> 0:33:37.640
<v Speaker 3>So thank you, Thank you, Joel.

0:33:38.040 --> 0:33:40.520
<v Speaker 1>So that was Joel Pearson talking about his new book,

0:33:40.560 --> 0:33:56.560
<v Speaker 1>The Intuition Toolkit, and now I want to bring it

0:33:56.600 --> 0:33:59.920
<v Speaker 1>back to the big picture. I'm always struck by how

0:34:00.360 --> 0:34:03.600
<v Speaker 1>much we do at the unconscious level that we don't

0:34:03.600 --> 0:34:06.240
<v Speaker 1>have access to. And a couple of episodes ago, I

0:34:06.280 --> 0:34:09.880
<v Speaker 1>was talking with Ed Katmull who's the founder of Pixar Films,

0:34:10.200 --> 0:34:12.640
<v Speaker 1>and one of the topics we touched on in our conversation,

0:34:13.239 --> 0:34:16.200
<v Speaker 1>which I didn't include in that episode was this topic

0:34:16.280 --> 0:34:21.000
<v Speaker 1>of intuition, the kind of intuition that an animator might have.

0:34:21.400 --> 0:34:24.839
<v Speaker 1>So here's a short clip from that conversation with Ed's

0:34:24.880 --> 0:34:25.640
<v Speaker 1>thoughts about that.

0:34:31.040 --> 0:34:36.080
<v Speaker 4>The ability to animate means you you understand motion and emotion,

0:34:37.440 --> 0:34:40.960
<v Speaker 4>and you are observing things, and you're you're conveying things

0:34:41.040 --> 0:34:45.800
<v Speaker 4>at a subconscious level, and that's not really a visualization

0:34:47.000 --> 0:34:49.640
<v Speaker 4>element I know in the in the case of our

0:34:50.640 --> 0:34:54.560
<v Speaker 4>our brains is that we take a lot of subtle clues,

0:34:55.840 --> 0:34:59.359
<v Speaker 4>but we're taking them unconsciously. So the way we move

0:34:59.440 --> 0:35:00.719
<v Speaker 4>our face.

0:35:00.360 --> 0:35:05.560
<v Speaker 5>Or our lips or our body motion, we're kind of

0:35:05.560 --> 0:35:10.000
<v Speaker 5>aware that we convey information to our body, but we

0:35:10.040 --> 0:35:15.120
<v Speaker 5>don't know exactly what that is or how we do it.

0:35:15.200 --> 0:35:16.360
<v Speaker 1>If you actually.

0:35:16.320 --> 0:35:20.320
<v Speaker 4>Understand how important that is, and then a good animator

0:35:20.360 --> 0:35:23.040
<v Speaker 4>will sort of get that and see it and then

0:35:23.280 --> 0:35:26.040
<v Speaker 4>convey it if they can, if they put it in

0:35:26.120 --> 0:35:30.279
<v Speaker 4>the animation, then people will see it and they'll get

0:35:30.400 --> 0:35:34.000
<v Speaker 4>information at this level, not knowing that they're getting it.

0:35:34.400 --> 0:35:34.680
<v Speaker 2>I mean.

0:35:34.680 --> 0:35:37.160
<v Speaker 4>One of my favorite examples in Twist Story two, where

0:35:37.640 --> 0:35:42.000
<v Speaker 4>Jesse that the doll was very upset because her owner

0:35:42.000 --> 0:35:44.720
<v Speaker 4>had actually discarded her. But while she was talking.

0:35:44.840 --> 0:35:47.319
<v Speaker 1>She was taking your pigtail and she was twisting it.

0:35:47.760 --> 0:35:54.759
<v Speaker 4>Almost nobody would notice that she would was twisting her pigtail.

0:35:54.960 --> 0:35:59.040
<v Speaker 4>They wouldn't notice at a conscious level, but an unconscious level,

0:36:00.080 --> 0:36:05.160
<v Speaker 4>that would mean that she's really torn up inside, along

0:36:05.200 --> 0:36:07.480
<v Speaker 4>with the other things that are there. So we've got

0:36:07.640 --> 0:36:11.719
<v Speaker 4>different levels of getting information from the world. There's the

0:36:11.840 --> 0:36:15.920
<v Speaker 4>direct words we're saying, and sometimes the direct words we're

0:36:15.960 --> 0:36:19.080
<v Speaker 4>saying are the opposite of what we really mean, and

0:36:19.160 --> 0:36:22.000
<v Speaker 4>so you've got like that's one level, and the other

0:36:22.160 --> 0:36:27.480
<v Speaker 4>is the body motion conveying something. That whole process means

0:36:27.520 --> 0:36:31.880
<v Speaker 4>that the animator is observing these different levels and putting

0:36:31.920 --> 0:36:36.040
<v Speaker 4>them into the character, and of course the actor also

0:36:36.120 --> 0:36:39.480
<v Speaker 4>provides layers to that. And when you get all of

0:36:39.480 --> 0:36:43.279
<v Speaker 4>that right, you have something which is complex and is interested,

0:36:43.640 --> 0:36:49.560
<v Speaker 4>it's observing multiple levels and isn't just about the pictures, it's.

0:36:48.719 --> 0:36:56.240
<v Speaker 1>About all of this coming together. That was Ed Catmull,

0:36:56.400 --> 0:37:00.440
<v Speaker 1>founder of Pixar Films, talking about the intuition that's for

0:37:00.520 --> 0:37:04.640
<v Speaker 1>an animator. Sometimes they can consciously articulate what they're up to,

0:37:04.719 --> 0:37:07.680
<v Speaker 1>and sometimes they can't. But for a good animator, they

0:37:07.920 --> 0:37:10.680
<v Speaker 1>pick up on those cues and they transmit those cues,

0:37:10.920 --> 0:37:15.080
<v Speaker 1>sometimes all under the radar of consciousness. And of course

0:37:15.239 --> 0:37:18.719
<v Speaker 1>these animators are working on areas where their intuition makes

0:37:18.760 --> 0:37:22.560
<v Speaker 1>good sense because they have mastered their data and they're

0:37:22.600 --> 0:37:27.000
<v Speaker 1>working in familiar and predictable contexts. So let's wrap up

0:37:27.000 --> 0:37:31.680
<v Speaker 1>for today. Intuition is about putting together vast information that

0:37:31.719 --> 0:37:34.560
<v Speaker 1>your brain has picked up on to give you a

0:37:34.600 --> 0:37:38.400
<v Speaker 1>final nudge in one direction or another, and it's massively

0:37:38.440 --> 0:37:41.960
<v Speaker 1>important for our functioning in the world. But we shouldn't

0:37:42.000 --> 0:37:45.560
<v Speaker 1>romanticize it to believe that it's always correct and always

0:37:45.800 --> 0:37:48.920
<v Speaker 1>to be listened to. Instead, we need to be clever

0:37:49.000 --> 0:37:53.000
<v Speaker 1>about when to trust it and under what circumstances. As

0:37:53.080 --> 0:37:56.480
<v Speaker 1>Joel suggests, we need to take into account whether we're

0:37:56.600 --> 0:38:00.440
<v Speaker 1>feeling too emotional, in which case, don't trust you tuition.

0:38:00.840 --> 0:38:05.520
<v Speaker 1>You need to master data before trusting your intuition on something.

0:38:06.080 --> 0:38:12.040
<v Speaker 1>Don't mistake impulses an addiction for intuition, don't use your

0:38:12.080 --> 0:38:16.600
<v Speaker 1>intuition for very low probability judgments, and you should really

0:38:16.640 --> 0:38:22.400
<v Speaker 1>only trust your intuition in familiar and predictable contexts. In

0:38:22.440 --> 0:38:27.759
<v Speaker 1>the end, each of us carries vast computational resources comparable

0:38:27.800 --> 0:38:31.160
<v Speaker 1>to Google or Meta or Apple. But instead of it

0:38:31.320 --> 0:38:34.240
<v Speaker 1>weighing eight ounces and us carrying in our back pocket,

0:38:34.320 --> 0:38:38.279
<v Speaker 1>we have three pounds of this computational material and we

0:38:38.400 --> 0:38:40.839
<v Speaker 1>lug it around on our shoulders the way that we

0:38:40.920 --> 0:38:44.759
<v Speaker 1>carry other things that are heavy and important. This is

0:38:44.880 --> 0:38:47.480
<v Speaker 1>all you have to make your decisions in the world,

0:38:48.040 --> 0:38:50.360
<v Speaker 1>and think about it this way, in the same way

0:38:50.800 --> 0:38:53.920
<v Speaker 1>that you might tell a student how to leverage the

0:38:54.040 --> 0:39:00.800
<v Speaker 1>computational might of the Internet while retaining appropriate skeptic about

0:39:00.800 --> 0:39:04.280
<v Speaker 1>some of the results. So it goes with the massive

0:39:04.880 --> 0:39:09.759
<v Speaker 1>networked biological landscape of our own brains. It is up

0:39:09.840 --> 0:39:17.400
<v Speaker 1>to us to learn how to become good users. Go

0:39:17.480 --> 0:39:21.040
<v Speaker 1>to Eagleman dot com slash podcast for more information and

0:39:21.120 --> 0:39:24.879
<v Speaker 1>to find further reading. Send me an email at podcasts

0:39:24.880 --> 0:39:28.359
<v Speaker 1>at eagleman dot com with questions or discussion, and check

0:39:28.400 --> 0:39:31.920
<v Speaker 1>out and subscribe to Inner Cosmos on YouTube for videos

0:39:31.920 --> 0:39:35.799
<v Speaker 1>of each episode and to leave comments until next time.

0:39:35.960 --> 0:39:39.040
<v Speaker 1>I'm David Eagleman and this is Inner Cosmos.