Factors that influence outcomes but are not included in a research model, either because they weren't measured, weren't recognized as relevant, or were deliberately omitted. Unlike spectral variables (which cannot be measured), hidden variables could be measured in principle but simply weren't. They lurk beneath the surface of every study, waiting to be discovered by critics or future researchers. In epidemiology, hidden variables might include socioeconomic factors not included in the survey. In physics, they might be forces not accounted for in the model. In economics, they might be market dynamics too complex to capture. The presence of hidden variables doesn't invalidate research, but it explains why findings are always provisional—what's hidden today may be visible tomorrow, and the whole picture may shift.
Hidden Variables Example: "The marketing study claimed the ad campaign caused the sales increase, but the hidden variable—a competitor's factory burning down the same week—was conveniently omitted from the analysis."
by Dumu The Void March 12, 2026
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