A meta-problem in experimental design where the researchers' attempts to eliminate one form of bias (e.g., selection bias) unintentionally introduce another, often by creating control groups or conditions that are artificially sterile, non-representative, or so constrained they don't reflect real-world complexity. The study becomes a perfectly controlled test of an irrelevant scenario.
Example: A psychology study on stress uses a "controlled" lab stressor (like a timed puzzle) to eliminate life-history variables. But this Bias of Controlled Bias means the results only apply to acute, performance-based stress in weird lab settings, not to the chronic, social, and economic stressors that define real-world mental health.
by Dumu The Void February 4, 2026
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