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Statistical methods rely on valid data. These data either already exist, or can at least be generated with defined effort and/or budget.
Reliability and safety analyses however deal with poor data, and -even with budget- there is almost never a chance to improve data quality.

Statistical analyses yield defined uncertainties based on defined data quality. Reliability and safety analyses however are "per se" uncertain.

Statistical methods must be mathematically correct, whereas reliability and safety analyses must be technically correct.

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