In sophisticated modeling, why is the output often a distribution of possibilities rather than a single number?

Answer

To acknowledge inherent limitations imposed by incomplete knowledge and measurement error

Quantifying uncertainty through a probabilistic approach reflects the reality that knowledge is incomplete, meaning the output represents a range where the true outcome is likely to fall, acknowledging measurement error.

In sophisticated modeling, why is the output often a distribution of possibilities rather than a single number?
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