This dog’s legs are disproportionately short for his body!
A proportion relates two different objects via size or some other
characteristic.
To evaluate a proportion, establish three factors:
1) The
original object/group
2) The
object/group of comparison
3) The
underlying cause/relationship (if any)
Proportions go awry when someone tries to draw
an incorrect conclusion from the data.
Let’s go through some goofy examples:
Example #1: A disproportionate number of physicists die from
rock climbing.
Rock shoes and "Quantum Mechanics" textbook
We’re comparing:
1) the
percentage of physicists who die from rock climbing
2) the percentage of the general population who
die from rock climbing
3) Both
physics and rock-climbing are types of problem-solving so I’m not surprised
that physicists are drawn to rock-climbing (or vice-versa).
Example #2 (based on my experience): A disproportionate number
of (male) particle physicists have ponytails so growing a ponytail will make you better at particle physics.
1) Percentage
of particle physicists with ponytails.
2) Percentage
of the general male population with ponytails.
3) Guys
with ponytails are usually jerks; particle physicists are often jerks.
Hence, ponytails and particle physics are correlated, but one does not cause the
other so growing a ponytail will probably just make people think you’re an
jerk.
Example #3: There are a disproportionate number of women in
physics so women are worse at physics.
1) The
percentage of women in science (almost none)
2) The
percentage of women in the general public (50%!)
3) The
reasons behind this could probably be an entire blog by itself. Sexism is
probably one cause (http://www.pnas.org/content/early/2012/09/14/1211286109),
and I think there's no way that it's because women are worse at physics.
Proportionality affects everyone when it comes to clothing
because clothes are sized according to some mythical “average person”. Because
of this, everyone is forced to measure their bodies and proportions against
this average person so we end up making statements like:
Example #4: My legs are disproportionately long for my body.
My awesome paint drawing of legs with short pants.
1) The
length of my legs
2) The
leg length of the average person
3) The
underlying cause here is the clothing industry in America. If we use
this criterion, everyone is disproportionate to their own bodies. This
criterion renders the statement meaningless, but I still use it because almost
everyone has the framework of the average person in their minds.
Example #5 (completely made-up): 10% of baseball players die
of cancer so baseball causes cancer!
1) The
percent of baseball players that die of cancer (10%).
2) The
percent of the general public that dies of cancer (unknown in this headline).
3) In
this case, this fact is presented as a disproportionality. However, without
knowing the cancer rate in the general public, you can’t actually conclude that
baseball causes cancer.
As long as you keep the comparison parameters straight in
your head, you can’t get fooled!
If you want some more examples, check out this cool photo
collection: http://formyhour.com/photo-project-disproportionate
PS: Some of you may have noticed that much of this post
deals with correlation and causation without directly mentioning those two
words. Don’t worry, it’s a topic for another blog post!
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