The Language of Argument

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assume that they are due for a run of good luck to even things out. Gambling
systems are sometimes based on this fallacious idea. People keep track of the
numbers that come up on a roulette wheel, trying to discover a number that
has not come up for a long time. They then pile their money on that number
on the assumption that it is due. They usually end up losing a bundle.
These gamblers seem to assume, “In the long run, things will even out (or
average out).” Interpreted one way, this amounts to what mathematicians
call the law of large numbers, and it is perfectly correct. When flipping a coin,
we expect it to come up heads half the time, so it should come up heads five
times in ten flips. If we actually check this out, however, we discover that
the number of times it comes up heads in ten flips varies significantly from
this predicted value—sometimes coming up heads more than five times,
sometimes coming up fewer. What the law of large numbers tells us is that
the actual percentage of heads will tend to come closer to the theoretically
predicted percentage of heads the more trials we make. If you flipped a coin
a million times, it would be very surprising if the percentage of heads were
more than 1 percent away from the predicted 50 percent.

This law of large numbers is often misunderstood in a way that leads to the
gambler’s fallacy. Some people assume that each possible outcome will occur
the average number of times in each series of trials. To see that this is a fallacy,

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