For my second post I’d like to take some time discussing my chosen
book for this course: How we know what
isn’t so by Thomas Gilovich. Specifically I want to talk about “the
clustering illusion” and the “law of large numbers” that he brings up. First,
to explain, the clustering illusion refers to a person’s intuition that random
events, such as a coin flip, should alternate between heads and tails more than
they do. That is to say that even though there is a 50% chance of landing on
either heads or tails – we are often shocked when we land on heads many more
times than 50% of our flips (imagining landing on heads 9 out of 10 flips – that’s
90%). So the clustering illusion describes chance in a random distribution.
However, chance doesn’t mean that there is a pattern, just the opposite – it’s
still a random distribution and this is something that statisticians would
describe via the law of averages which is also called the law of large numbers.
The likes of which ensures that there
will be a close to 50-50 split after a large number of tosses and that the
illusion that there is a pattern is only seen when you only observe a small “cluster”
of tosses. A fascinating yet simple concept that serves to remind us that we
can’t always assume that there are patterns to potentially random, by chance, events
that occur in clusters. However, I did take issue with one example – or perhaps
not so much issue but merely felt like more needed to be said about it. He used
an example of a German bombardment against London during World War II in which
the areas of impact were randomly distributed, as the accuracy of the bombs
were quite limited. However, at the time, Londoners asserted that the bombs
appeared to land in definite clusters. As a result they evacuated people to
these seemingly less bombarded areas. The author mentions prior to this that there
is no “law of small numbers” but perhaps that’s an issue. For I couldn’t help
but think, even though I understood and agreed with him that the distribution
of the bombs were random and thus no area could be promised as an area of safe
haven – it is none the less true that if people had not evacuated to these
areas, many more lives would have been loss. Perhaps there is no reason to
explain why certain events occur in clusters and I certainly don’t want to let
my human nature get to me in assuming that everything has a pattern. Yet I find
it highly illogical to ignore realities (such as for whatever reason – or no
reason – that some areas did indeed experience less risk) and highly
unscientific to be satisfied with no longer asking questions. If no law describes
small numbers than perhaps, and only perhaps, it’s not because there is no law
governing them but because we simply haven’t discovered those laws yet.
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