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in this video Dr Jordan Peterson

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explains how to solve complex problems

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in life you could say that you respond

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to the world as if it's a predictable

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place as long as it's doing what you

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want it to do and then you respond to

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the world as an unpredictable place when

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anything happens that stops you from

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reaching the goal that you've determined

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to be relevant at this point in time and

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so those are in some sense your two

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modes of operation then you could also

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add that if you're pursuing a goal or

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embodying a little goal-directed

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personality then things that facilitate

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movement towards that goal are going to

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be positive and things that interfere

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with movement towards that goal are

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going to be negative and when you

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understand that then you've got some

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sense of how the fundamental emotional

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systems work so there's a set of

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phenomena in front of you that's too

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complex to deal with and so what you do

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is you generate a low resolution

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representation of it and that low

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resolution representation is actually

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what you see it's not a concept or you

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could say it's a percept it's what you

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see when you look at something so for

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example and then what you do with your

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words is you you label the percept of

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the thing and so it's like I'm it's like

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a double

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compression that's in some sense what

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you're doing so you have a complex

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reality you perceive it in a in a in a

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low resolution form and then you label

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the perception and that gives you a word

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and so what you're doing basically is

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taking the world that you can understand

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and you're make putting it in smaller

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and smaller and Tighter boxes until you

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have a box that's small enough and tight

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enough so that you can actually

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manipulate it and that's a fine plan

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except when it doesn't work and so then

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the question is well what do you do when

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it doesn't work and that is the question

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okay so you could say if you look at the

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top left hand corner I call that the

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thing in itself which is a phrase from

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it's a translated phrase from German

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philosophy and the old idea was that

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well you never really have contact with

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the thing in itself you because you're

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not capable of of perceiving it or

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comprehending it so what you see are

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elements of it so we're going to say

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well that's the thing in itself it's

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it's a schematic representation of it

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it's quite complex and then

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hypothetically you can see that thing in

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all the other ways that are Illustrated

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in the diagram right so if I ask you

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what that was you could say well it's a

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rectangle or you could say it's a

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rectangle with four rectangles as sub

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elements or you could say that it's I

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think that's what 24 rows which it also

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is or you could say it's a bounded

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rectangle that's made out of two paths

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and and four sub rectangles or you could

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say that it's

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I don't remember how many are in there

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but

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you know that's the most differentiated

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representation object five and then you

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might say well which of those is the

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real object and the answer first would

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be well none of them are and then the

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second answer would be it depends on

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what you want to do with the

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representations

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and you actually it's not really obvious

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that you can make things more real than

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that it's like how real is what you're

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perceiving it's real enough for certain

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operations and not real enough for

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others

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and so

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it's validity it's a pragmatic approach

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its validity is determined by its

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applicability in this situation in which

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you want to apply it okay

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and then at the bottom there are words

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and the words are basically labels for

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those percepts so you know the first one

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you could sum up as 432 because I guess

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there's 432 little circles there and the

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second one you could

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um on the bottom you could summarize as

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a cross or a rectangle and

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the one at the top you could summarize

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as a flag and you get the point so the

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word is representing a percept that's

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already simplified and that's

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representing something that's more

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complex underneath it okay so here's

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another way of looking at it

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so if you're looking at a computer your

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computer crashes will say so

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you're working on your computer

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and then you might think well are you

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actually working on your computer and

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the question that the answer to that is

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it depends on exactly what you mean by

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computer and exactly what is this thing

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that's a computer so actually when

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you're working on a computer what you

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generally see is only the screen and you

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don't even see the screen you see that

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tiny sub element of the screen that

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contains those representational entities

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that are directly relevant to the area

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of the world that you're focusing on

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right now because you want something to

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happen Okay so really when you're

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interacting with the computer you're

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just interacting with this tiny little

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part of it

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and then the problem is in order for

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that tiny little part to maintain its

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validity as a representational entity

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all the things that you don't see about

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the computer have to work

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right and then you might think well what

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don't you see about the computer well

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that's what this diagram is supposed to

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be showing so the first thing is you

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don't see the elemental properties of

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the computer and that would be its

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existence at a Quantum level and that

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actually turns out to be increasingly

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relevant for computer designers

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because you know you cannot specify the

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location and the momentum of a particle

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at a Quantum level with a hundred

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percent accuracy and what that means is

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it actually has a it actually has

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relevance the little wires in computer

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chips are getting so small now that

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there's some reasonable probability that

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an electron you think will be in the

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wire is outside the wire and that means

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they'll short out

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so at some level of interaction the

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quantum properties actually matter okay

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so that's part of the computer you don't

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see and then while the computer itself

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is made out of all these little parts

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that are as complex as little cities and

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it's just packed with that and you what

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you don't know about that could fill

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whole volumes and any of those things

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can you know malfunction at any moment

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so that's a big problem and then those

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micro parts are arranged into

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sub-components with a desktop maybe your

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sound card is gone or your video card is

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gone or something that you could take

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out and replace if you could only

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specify the proper level of analysis or

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you know maybe you bought a lousy brand

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and that's the problem you bought bought

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some cheap computer that's made in a

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disable Factory and the probability that

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it's going to be reliable is zero and

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then you might ask well why is it that

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that brand is not reliable and you might

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say well the economic system within

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which it was produced is corrupt and so

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is the political system and so as a

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consequence of that people can get away

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with shoddy manufacturing and that

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manifests itself as the fact that your

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computer crashes in the middle of an

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essay and then you might say well what's

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the right level of resolution to solve

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that problem and the answer to that is

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that's not obvious it depends on what

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you mean by solve it now usually what

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you mean is do the minimum necessary to

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get the system back online so that you

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can return to your activities but it's

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by no means obvious that that's always

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the right solution and sometimes it

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isn't because at some point you're going

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to say

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well I should just throw the computer

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away and you know if you own computers

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that when to throw them away is actually

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a complicated problem how many of you

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have like three or four old laptops

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lying around the house

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right right so like why well they still

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work well

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do they really and then a deeper

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question is what makes you think that

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they're still laptops and the answer to

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that is well they look like laptops and

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that's also wrong they look like laptops

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if you think that a box is a laptop and

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it's not and it with computers you can

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really see this hey because you can have

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an entity that's fully functional a

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laptop and then if you just leave it on

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your desk and don't touch it for five

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years or let's say 10 years what is it

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then

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well it's become so disconnected from

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the ecosystem that it's a part of that

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it might not be useful for anything

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anymore you might not even be able to

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get it to work and you know most things

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around us don't change that fast so we

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can we can perceive them in relatively

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simple forms and they don't transform so

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quick that that shows us that our

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perception is gone astray but computers

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aren't like that they transform so

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rapidly

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you probably spend one-fifth of your

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time just trying to just trying to keep

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up with the transformations

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still with me

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