Countable additivity is a fundamental property of a probability measure that states if you have a countable collection of mutually exclusive events, the probability of the union of these events equals the sum of their individual probabilities. This principle ensures that when dealing with an infinite or large number of outcomes, the total probability remains coherent and consistent. It's a key concept for understanding how probabilities behave in various scenarios and underpins the structure of probability spaces.
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