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Statistical typing is a programming concept that combines elements of both static and dynamic typing, where types are determined based on statistical analysis of data rather than strictly defined by the programmer. In this approach, the type of a variable can evolve or be inferred from the context and usage patterns within the code. This allows for greater flexibility and adaptability in handling data, particularly in scenarios where types may not be explicitly declared. It is often used in languages that support dynamic typing alongside type inference capabilities.

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