The Science of Uncertainty: Lessons for the Corona Inquiry

Post-COVID Analysis: Scientific Integrity, Modeling Failures, and Societal ImpactExecutive SummaryThis briefing document synthesizes critical insights from Professor Michaéla Schippers (Erasmus University) and Professor Ronald Meester (Vrije Universiteit) regarding the Dutch government's handling of the COVID-19 pandemic and the subsequent parliamentary inquiry.The central thesis of their analysis is that the "science" used to justify pandemic measures was often shielded from peer review, based on flawed or simplistic models, and used by politicians to avoid accountability for moral and normative decisions. Key takeaways include:Systemic Exclusion of Critics: Both experts, despite their relevant backgrounds in behavior management and statistics, have been largely sidelined by the current parliamentary inquiry after initial consultations.The "Black Box" of Modeling: RIVM models were frequently inaccessible to the scientific community, preventing independent verification. When details did emerge, they were often described as "simplistic" or "absurdly" disconnected from reality.Ignored Collateral Damage: Substantial evidence of "nevenschade" (collateral damage)—including a mental health crisis, doubled global hunger, and significant societal "overreach"—was presented early in the crisis but largely ignored by political leadership.The Misuse of Scientific Consensus: The phrase "follow the science" is identified as a logical fallacy, as science thrives on disagreement rather than the political necessity of consensus.Erosion of Trust: The labeling of dissenting scientific views as "disinformation" and the professional "canceling" of academics have created a climate where self-correction and "face-saving" for officials now seem impossible.