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The power law, also known as Zipf's law, is a statistical distribution characterized by a small number of occurrences with very high frequency (heavy tails) and a large number of occurrences with low frequency. In a power law distribution, the frequency of an event is inversely proportional to its rank or size, resulting in a long-tailed distribution where a few elements dominate while many others are relatively rare. Power law distributions are commonly observed in various natural, social, and technological phenomena.
When small changes in one variable lead to
By Mental Models Daily3
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The power law, also known as Zipf's law, is a statistical distribution characterized by a small number of occurrences with very high frequency (heavy tails) and a large number of occurrences with low frequency. In a power law distribution, the frequency of an event is inversely proportional to its rank or size, resulting in a long-tailed distribution where a few elements dominate while many others are relatively rare. Power law distributions are commonly observed in various natural, social, and technological phenomena.
When small changes in one variable lead to

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