1994/02/04 by Наоми Орескес, Kristin Shrader‐Frechette, Kenneth Belitz · 1 voice · 12 citations
Decision Sciences · Arts and Humanities · Environmental Science · #Scientific Computing and Data Management #Philosophy and History of Science #Science and Climate Studies
paper · doi:10.1126/science.263.5147.641
openalex publication_date 1994/02/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
Verification and validation of numerical models of natural systems is impossible. This is because natural systems are never closed and because model results are always nonunique. Models can be confirmed by the demonstration of agreement between observation and prediction, but confirmation is inherently partial. Complete confirmation is logically precluded by the fallacy of affirming the consequent and by incomplete access to natural phenomena. Models can only be evaluated in relative terms, and their predictive value is always open to question. The primary value of models is heuristic.