Evidence Biases

Systematic distortions in what counts as evidence, how evidence is gathered, and how evidence is weighed. Evidence Biases include: privileging quantitative over qualitative evidence; treating anecdotal evidence as worthless even when it's all that's available; demanding evidence from those who lack power while accepting it from those who have it; ignoring evidence that doesn't fit the frame; collecting evidence only where it's easy or funded. Evidence Biases shape not just what we know but what we can know—what counts as a fact and what gets dismissed as mere anecdote.

Evidence Biases "She shared her experience of discrimination. Response: 'That's just anecdotal—where's the real evidence?' That's Evidence Bias—treating personal testimony as worthless while demanding quantitative studies that don't exist. Experience is evidence; it's just not the kind you're used to. Evidence biases make us miss what's in front of us because it doesn't fit our evidence categories."

Evidence Biases by Dumu The Void March 1, 2026

Evidence-Based Biases

The collection of biases that arise from the misapplication of "evidence-based" thinking—treating evidence as a magic word rather than a practice, demanding evidence asymmetrically, mistaking certain kinds of evidence (usually quantitative) as inherently superior, ignoring the values and assumptions embedded in what counts as "evidence," and using "evidence-based" to dismiss any claim that doesn't fit narrow evidentiary standards. These biases don't reject evidence—they fetishize it, turning a valuable tool into a weapon of dismissal and a shield against genuine engagement with complexity, uncertainty, and other ways of knowing.

Example: "His Evidence-Based Biases meant he demanded randomized controlled trials for community wisdom that had worked for centuries—not because he valued evidence, but because he valued only his kind of evidence."

Evidence-Based Biases by Dumu The Void March 13, 2026