This is the first part of a series on concepts. In this series, I will talk about the way in
which people use and misuse concepts, as well as a few things you can do to
help aid in the appropriate use of your concepts. This series is ongoing (so stay tuned for
more!) To start, I’m going to outline
what I mean by ‘concept’ and why it is we have them.
Let’s suppose you have a nice enormous bin of gems, all of which come in two colors (yellow or blue), two shapes (square or triangular), and two types of cores (diamond or platinum). After analyzing some of the gems with your mathematically knowledgeable friends, you determine the following correlations:
93% of the yellow gems contain diamond cores
94% of the blue gems contain platinum cores
Etc.
Here, each line connecting two traits represents the likelihood of finding the traits paired together, with thicker lines indicating higher likelihood. For instance, the fact that the line between “Blue” and “Triangle” is very thick indicates that a blue gem is very likely to also be triangular (and, for simplicity, vice versa). Meanwhile, the thinness of the line between “Blue” and “Diamond” indicates that a blue gem is very unlikely to contain a diamond core.
What we do is create concepts, labels, like “YSD-Gem” or “BTP-Gem” to group the various properties. When we notice that most of the gems are either yellow-and-square-and-diamond or blue-and-triangular-and-platinum, we generate these two groups and give them different names.
But notice the difference between what goes on when we make predictions with the two maps. Let’s say you told me that you were holding a yellow gem, and asked me to predict whether the gem contained diamond or platinum, and also whether it was square or triangular. With the first map, I compare the line thickness between “Yellow” and “Diamond” to the line thickness between “Yellow” and “Platinum.” Since the first is thicker, I guess that the gem contains diamond. Then to answer the second question, I compare the thickness between “Yellow” and “Square” to the thickness between “Yellow” and “Triangle.” Since the first is thicker, I guess that the gem is square. Note that it requires me to look at four different lines, and apply two different comparisons, to answer your questions.
Let’s suppose you have a nice enormous bin of gems, all of which come in two colors (yellow or blue), two shapes (square or triangular), and two types of cores (diamond or platinum). After analyzing some of the gems with your mathematically knowledgeable friends, you determine the following correlations:
99% of the yellow gems are square
97% of the blue gems are triangular93% of the yellow gems contain diamond cores
94% of the blue gems contain platinum cores
Etc.
Here is a graphical representation of the correlations
between the various properties of the gems.
It is a representation which takes into account ALL of the information
gained by you and your intelligent friends.
This means ALL of the information contained in the simple statements of
the correlations above, as well as some more that I left out in the “etc.”
portion for brevity.
Here, each line connecting two traits represents the likelihood of finding the traits paired together, with thicker lines indicating higher likelihood. For instance, the fact that the line between “Blue” and “Triangle” is very thick indicates that a blue gem is very likely to also be triangular (and, for simplicity, vice versa). Meanwhile, the thinness of the line between “Blue” and “Diamond” indicates that a blue gem is very unlikely to contain a diamond core.
What is the usefulness of this map? It lets us make predictions. If you tell me that you have a gem which is
both yellow and square, I can predict with high certainty that the gem will contain diamond. In fact, if you only tell me that a
particular gem is blue, then I can still have a high certainty that it is triangular
and that it contains platinum. In this way, I can get a very good idea of
what a gem contains without having to break it.
But the diagram above is not
what goes on inside your brain. That
diagram is just too complicated to be worth it.
What goes on in your brain, and indeed in much of human dialogue, is
something like this:
What we do is create concepts, labels, like “YSD-Gem” or “BTP-Gem” to group the various properties. When we notice that most of the gems are either yellow-and-square-and-diamond or blue-and-triangular-and-platinum, we generate these two groups and give them different names.
Now this map is both less accurate and less precise than the
previous map. However, it is much easier
to remember. There are six lines – six correlations
– instead of twelve. Moreover, the map
has been completely split into two separate pieces, which can each be utilized
separately. So any individual
application of our map is only going to really utilize three of the lines. This makes it much easier to use.
But notice the difference between what goes on when we make predictions with the two maps. Let’s say you told me that you were holding a yellow gem, and asked me to predict whether the gem contained diamond or platinum, and also whether it was square or triangular. With the first map, I compare the line thickness between “Yellow” and “Diamond” to the line thickness between “Yellow” and “Platinum.” Since the first is thicker, I guess that the gem contains diamond. Then to answer the second question, I compare the thickness between “Yellow” and “Square” to the thickness between “Yellow” and “Triangle.” Since the first is thicker, I guess that the gem is square. Note that it requires me to look at four different lines, and apply two different comparisons, to answer your questions.
Answering the questions using the second map is easier. When you tell me that the gem is yellow, I
look at the line from “Yellow” to “YSD-Gem” and conclude that the gem is a
YSD-Gem. Then I look at the two lines
coming from “YSD-Gem” and conclude that the gem is square and contains
diamond. With this method, I only need
to look at three lines and I don’t even need to make any comparisons between
lines. The second map gets you your
predictions faster and with less effort.
And the important thing is that this discrepancy scales. If you there were to add a fourth property of
our gems, say weight, in which nearly all yellow and square and diamond-containing
gems were light and nearly all blue and triangular and platinum-containing gems
were heavy, then the second diagram would only need two additional lines – one from
“YSD-Gem” to “Light” and another from “BTP-Gem” to “Heavy.” The first diagram, however, would need twelve additional lines – one from “Light”
to each of the six non-weight properties, and another from “Heavy” to each of
the six non-weight properties. Furthermore,
taking one property and guessing all three other properties with the second map
would require looking at four different lines and making zero comparisons. But taking one property and guessing all
three other properties with the first map would require looking at six
different lines and making three comparisons.
In a more extreme scenario where we have five hundred different properties, the
discrepancy is quite large. For five
hundred binary properties, a map of the first type would require nearly 250,000
lines. But a map of the second type
requires only 1,000 lines. Moreover, a
map of the second type allows us to use one property to predict the other 499
properties by looking only at 500 lines and making zero comparisons. To make such predictions with the first map
would require looking at 998 lines and making 499 comparisons. Using the second map is way easier. That’s why we
use it!
But keep in mind that the second map does not contain all of
the relevant information. All of the
relevant information requires twelve lines to represent, and the second map
only has six lines. In fact, the second
map does not explicitly contain any
of the relevant information – there are no lines that connect the various
attributes together. The second map does
not explicitly contain information about the likelihood of a yellow gem being
square (in other words, your guesses don’t rely on memorizing the fact that 99%
of yellow gems are square). Instead, a
yellow gem is labeled as a YSD-Gem, and then concluded to be square or at least
probably square. But by utilizing the
concept of “YSD-Gem,” the second map allows us to guess many properties very quickly and easily.
But despite this, “YSD-Gem” is not a property of the gems (at least, not in the same sense that yellow,
square, and diamond-containing are properties of the gems). This is the mistake that Plato made, with his
notion of Platonic ideals. The “ideal”
of a YSD-Gem is something we came up
with, to help us make predictions more easily. But you can express all of the relevant correlations between properties without ever
referring to this “YSD-Gem” concept (as the first map does). When it comes to determining what properties the
gems have, it can be useful to use the concept “YSD-Gem,” but it is not
strictly necessary. If we have enough
processing power and enough memory, we can instead use the first map to make
our predictions. In this sense, “YSD-Gem”
is a conceptual tool that we utilize
to help make our lives easier. It helps
us represent tendencies in the world, but it is still a tool.
And yet at the same time, if you find a gem that that is
yellow and square but contains platinum instead of diamond, you will still find
yourself asking whether it is a YSD-Gem or a BTP-Gem. But these terms don’t correspond to the same
kind of thing as yellow, square, and ‘contains platinum.’ With this particular gem, all of the observables have been determined. You know that it’s yellow, you know that it’s
square, and you know that it contains platinum.
And yet at the same time it feels
like there’s an important unanswered question: Is it YSD or BTP?
And two people can disagree about the “right answer” to this
important-feeling question even if they
agree about all the observables. The
problem is that your mind is so used to using the second map that it doesn’t
realize that YSD and BTP are just tools – not observables – and that these
tools are there specifically to help predict observables. Thus, your mind does not realize that once
all your observables have been measured, asking “YSD or BTP?” is utterly pointless. It’s a question about which tool is best to
use to achieve something you already have. And yet, because it’s still one of those
nodes on your cognitive map (map 2), it feels
like “YSD or BTP?” is just as meaningful and important a question as “Yellow or
Blue?”
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