How Not to Be Wrong: The Power of Mathematical Thinking
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An important rule of mathematical hygiene: when you’re field-testing a mathematical method, try computing the same thing several different ways. If you get several different answers, something’s wrong with your method.
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many as died in both world wars combined.
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The Law of Large Numbers will always push the Big players’ scores toward 50%, while those of the Smalls are apt to vary much more widely.
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De Moivre’s insight is that the size of the typical discrepancy* is governed by the square root of the number of coins you toss.
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If you want to make the error bar half as big, you need to survey four times as many people.
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if you want to know how impressed to be by a good run of heads, you can ask how many square roots away from 50% it is.
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If you flip N coins, the chance that you’ll end up being off by at most the square root of N from 50% heads is about 95.45%.
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The way the overall proportion settles down to 50% isn’t that fate favors tails to compensate for the heads that have already landed; it’s that those first ten flips become less and less important the more flips we make.
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not by balancing out what’s already happened, but by diluting what’s already happened with new data, until the past is so proportionally negligible that it can safely be forgotten.
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It’s because the question of whether one war was worse than another is fundamentally unlike the question of whether one number is bigger than another.
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these takeaways are truly stunning. In 2010, as the nation continued to recover from
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But no. Those numbers are net job losses. We have no idea how many jobs were created and how many destroyed over the three-year period; only that the difference of those two numbers is 740,000. The net job loss is positive sometimes, and negative other times, which is why taking percentages of it is a dangerous business.
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The universe is big, and if you’re sufficiently attuned to amazingly improbable occurrences, you’ll find them. Improbable things happen a lot.
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The more chances you give yourself to be surprised, the higher your threshold for surprise had better be.