Activate when: user says 'we keep finding evidence that supports our view,' 'the team is all aligned on this,' 'I've done the research and it checks out,' or...
--- name: confirmation-bias description: "Activate when: user says 'we keep finding evidence that supports our view,' 'the team is all aligned on this,' 'I've done the research and it checks out,' or a decision moves forward with only supporting evidence cited. Do NOT activate when: context is explicit advocacy (legal brief, pitch deck) where one-sided argument is the design; or stakes are too low to justify structured disconfirmation." --- # Confirmation Bias ## Overview **Confirmation bias** is the systematic tendency to seek, interpret, remember, and weight evidence in ways that support existing beliefs — and to correspondingly miss disconfirming evidence. It is the most-replicated finding in cognitive psychology, documented across cultures, expertise levels, and IQ ranges. The canonical proof: Wason's 1960 "2-4-6 task" showed ~80% of subjects (including PhD scientists) confidently announced a wrong rule after testing only sequences they expected to confirm — never proposing a sequence designed to refute the hypothesis. Composes with [`critical-thinking`](../critical-thinking/SKILL.md), [`bayesian-reasoning`](../bayesian-reasoning/SKILL.md), [`abductive-reasoning`](../abductive-reasoning/SKILL.md), and [`metacognition`](../metacognition/SKILL.md). ## When to Use - A team is converging on a single answer too quickly - You feel confident about a claim and haven't looked for evidence against it - Research or due diligence keeps "validating" existing beliefs - Someone says "cherry-picking," "echo chamber," or "looking for what you want to see" **Not when:** explicit advocacy context; very low-stakes decision; cost of disconfirmation exceeds value of decision. ## Coaching Novices (Adaptive Front Door) - **Engine mode:** user has a concrete case → run The Process directly. - **Coach mode:** user is unfamiliar or has no concrete case → guide step by step. In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop. 1. One-liner: before trusting evidence that supports your view, ask what would have changed your mind — and whether you actually looked for it. 2. Check fit against When to Use / When NOT to use. 3. Elicit the specific claim and evidence cited. > **[WAIT — do not advance until user responds]** 4. One question at a time: what would falsify this? Did you look for that? What's the strongest counter-evidence? How did you treat it? > **[WAIT — do not advance until user responds]** 5. Close: name the falsification test + structural countermeasure (Devil's advocate, red team, blind evaluation). > **[WAIT — do not advance until user responds]** ## The Process **Step 1 — State claim:** Claim / Evidence cited / Confidence level. **Step 2 — Construct falsification:** What observation would falsify this? What would you expect if wrong? Has anyone looked for that? *(If you can't articulate falsification, you have a description, not a hypothesis.)* **Step 3 — Audit evidence-seeking:** Sources consulted — belief-aligned? Strongest case against sought? Evidence encountered and dismissed? **Step 4 — Re-evaluate ambiguous evidence:** Of evidence cited, how much is unambiguous vs. ambiguous-read-as-supporting? Does the opposite reading fit equally? *(If yes, it's interpretation, not evidence.)* **Step 5 — Install structural countermeasure:** Devil's advocate (rotated, mandatory) · Red team · Pre-mortem (Klein 2007) · Blind evaluation · Falsification-first design (three refuting cases before one confirming). **Step 6 — Establish update conditions:** What would convince me I'm wrong? When will I formally re-examine? Who is empowered to push back? ## Output Template ``` Claim: / Evidence: / Confidence: Falsification: what would falsify it / has it been tested: Evidence audit: sources (aligned vs counter) / counter-evidence treatment: Ambiguous evidence: amount / does opposite reading fit: Countermeasure: [type] / Owner: Update conditions: trigger / re-examination date: ``` *→ Method in Action: [Peter Wason's 2-4-6 Task, 1960](examples/peter-wasons-2-4-6-task-1960.md)* ## Pack: Confirmation Bias Patterns | Domain | Common manifestation | Countermeasure | |---|---|---| | Product | Building features based on early-adopter feedback only | Cohort retention; non-user interviews | | Investment | Reading only the bull case for a held position | Pre-commit short thesis; quarterly "kill the position" | | Hiring | Post-hoc rationalization of intuitive hire | Structured rubric; reference checks before offer | | Debugging | Looking only where you think the bug is | Bisect elimination; alternative-hypothesis tests | *→ Primary sources: [references/sources.md](references/sources.md)* ## Common Rationalizations **[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.** | Fake move | Reality | |---|---| | [D] "I've been doing this for years; I know" | Experience compounds confirmation bias if not paired with deliberate disconfirmation. | | [D] "I have an open mind" | Self-report correlates poorly with measured open-mindedness. When did you last change your mind on counter-evidence? | | [D] "I considered the alternative" | Considering ≠ stress-testing. Did you actively seek evidence the alternative is correct? | | [D] "The evidence overwhelmingly supports my view" | Overwhelming-feeling evidence is exactly what confirmation bias produces. | | [D] "I'm a critical thinker / scientist / analyst" | Wason's PhD subjects had the same bias. Structural countermeasures work; personal vigilance does not. | | *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* | ## Red Flags - Team converged quickly on a single answer; evidence cited is belief-aligned - No one tasked with finding flaws; disconfirming evidence dismissed as "biased" - Hypothesis not stated in falsifiable form; hypothesis-former is also the tester ## Verification - [ ] Claim stated in falsifiable form; specific falsifying observation named - [ ] Counter-evidence actively sought (not just acknowledged) - [ ] Ambiguous evidence re-evaluated against the opposite hypothesis - [ ] Structural countermeasure installed (not just personal vigilance) - [ ] Update conditions and re-examination point specified --- *Part of **deciqAI Knowledge Skills** — open-source thinking skills that make rigor executable for AI agents. 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