Reproducibility, Normal Distributions, and the Epistemic Value of Outliers: Rethinking Scientific Reliability in Complex Systems

Scientist have largely relied on reproducibility, central tendencies, and normal distributions as central to finding answers to the Inquiry. While enabling standardization and cumulative knowledge building, they marginalize outliers, observations that deviate from expected patterns and are often dismissed as noise or error. In complexity thinking, however, such deviations may represent critical signals rather than statistical inconveniences.