Cognitive Bias Buster

Overview

Cognitive Bias Buster helps users recognize when their thinking is being distorted by systematic cognitive errors — and provides practical countermeasures for each. Drawing from decades of research in behavioral economics and cognitive psychology (Kahneman, Tversky, Ariely, and others), this skill catalogs 50+ biases organized into 6 families, with real-time detection prompts and de-biasing techniques for each.

This skill does not eliminate biases — it makes them visible so users can compensate. Biases are features of human cognition, not bugs to be "fixed." The goal is better awareness, not perfect rationality.

When to Use

Use this skill when the user asks to:

• Identify cognitive biases
• Check for bias in a decision
• Understand why their judgment might be off
• List common thinking errors
• De-bias a specific situation
• Learn about cognitive psychology
• Review a decision for bias

Trigger phrases: "Cognitive bias", "Thinking error", "Why am I wrong?", "Bias check", "Am I biased?", "Mental blind spot", "De-bias", "Thinking trap", "Judgment error"

Workflow

Step 1 — Context Gathering

Understand what the user is analyzing:

• What decision, belief, or judgment are you examining?
• What is at stake? (Low, medium, high stakes)
• How much time do you have? (Quick scan vs. deep review)
• Are you reviewing something already decided, or preventing bias in an upcoming decision?
• Who else is involved? (Solo decision, group decision, advice for someone else)

Step 2 — Bias Family Scan

Run through the 6 bias families and flag which might be active in this context. For each family, ask the diagnostic questions.

Family 1: Too Much Information (Filtering Biases)

We are bombarded with information; we filter aggressively — and often wrongly.

Diagnostic questions: What information came first? What am I ignoring? What would prove me wrong?

Family 2: Not Enough Meaning (Pattern-Making Biases)

We compulsively find patterns and meaning — even in random noise.

Diagnostic questions: Am I seeing a real pattern or imposing one? Would I interpret this differently if the outcome were unknown?

Family 3: Need to Act Fast (Action Biases)

We must act quickly to survive — so we jump to conclusions and favor the familiar.

Diagnostic questions: Am I rushing because of pressure or real urgency? What would a neutral observer recommend?

Family 4: What Should We Remember? (Memory Biases)

We only keep a tiny fraction of what we experience — and we distort even that.

Diagnostic questions: Is this memory or a reconstruction? What would my diary from that time say?

Family 5: Social & Group Biases

We evolved to coordinate in groups — but groupthink has its own distortions.

Diagnostic questions: Would I believe this if it came from a stranger? Am I conforming or reasoning?

Family 6: Probability & Statistical Biases

We are terrible at intuiting probabilities — and we consistently get the math wrong.

Diagnostic questions: What are the actual numbers? What is the sample size? What is the base rate?

Step 3 — Deep-Dive on Flagged Biases

For each bias family that scored high risk, go deeper:

• Which specific biases in this family are most likely active?
• What evidence would confirm or disconfirm each?
• What is the direction of distortion? (Overestimate, underestimate, ignore, distort)
• What would a completely neutral person conclude?

Step 4 — Apply Countermeasures

For the top 2–3 most relevant biases, select and apply countermeasures:

• Pre-mortem: Imagine the decision failed and work backward to why
• Red team: Ask someone to argue against your position
• Reference class forecasting: Look at outcomes for similar situations
• Blinding: Remove identifying info when evaluating options
• Checklist: Use a structured checklist rather than intuition
• Sleep on it: Introduce time delay for important decisions
• Algorithm / rule: Use a pre-committed decision rule
• External view: Ask what advice you'd give a friend in the same situation

Step 5 — Document and Review

Create a brief bias audit record:

• Decision or judgment analyzed
• Biases flagged (with confidence level: low/medium/high)
• Countermeasures applied
• Revised conclusion (if different from initial intuition)
• Review date: when will you check if the decision was sound?

Safety & Compliance

• This skill provides educational awareness of cognitive biases; it does not claim to eliminate them
• No psychological diagnosis or treatment is offered
• For decisions with major consequences (health, legal, financial), recommend consulting professionals in addition to bias-checking
• Biases are normal human features, not personal flaws — the tone should be compassionate, not shaming
• Some biases conflict with each other in practice; the skill helps users navigate trade-offs, not find single "right" answers

Acceptance Criteria

1. At least 50 biases are cataloged across 6 families
2. Each bias includes: name, signal (how to detect it), and countermeasure
3. Diagnostic questions are provided for each family
4. At least 8 de-biasing techniques are available
5. The workflow adapts to stakes level and time available
6. The tone is educational and non-judgmental
7. At least 3 examples show bias detection in real scenarios
8. Documentation template is provided for bias audits

Examples

Example 1: Job Offer Decision

User says: "I got a job offer with a higher salary but I'm worried about leaving my current team."

Skill guides:

• Context: High-stakes career decision, medium time available
• Flagged biases:
  • Status quo bias (preferring current situation)
  • Sunk cost fallacy (investment in current relationships)
  • Loss aversion (fear of losing current stability)
  • Anchoring (fixating on the salary number)
  • Optimism bias (assuming new role will be great)
• Countermeasures:
  • Pre-mortem: Imagine staying and being unhappy in 2 years — why?
  • External view: What would you advise a friend with this offer?
  • Reference class: What happened to others who made similar moves?
  • Sleep on it: Wait 48 hours before responding
• Revised analysis: Evaluate total compensation, growth trajectory, cultural fit, and risk tolerance separately from the anchor of salary alone

Example 2: Investment Decision

User says: "My friend made a lot on crypto. Should I invest too?"

Skill guides:

• Context: Financial decision, high risk of multiple biases
• Flagged biases:
  • Bandwagon effect (because friend did it)
  • Availability heuristic (recent success stories are vivid)
  • Survivorship bias (not hearing from those who lost)
  • Optimism bias (believing you'll succeed where others might not)
  • Overconfidence (understanding of the asset)
• Countermeasures:
  • Red team: Argue why this is a terrible idea
  • Reference class: What percentage of crypto investors lose money?
  • Blinding: Evaluate the asset without knowing friend's outcome
• Safety: Redirect to professional financial advisor for investment advice

Example 3: Disagreement with a Partner

User says: "My partner and I keep arguing about the same thing. I know I'm right."

Skill guides:

• Context: Interpersonal conflict, recurring pattern
• Flagged biases:
  • Confirmation bias (only remembering evidence supporting your view)
  • Fundamental attribution error (attributing partner's view to character)
  • Naive realism (believing you see objectively, they are biased)
  • Self-serving bias (framing the conflict in ways that favor you)
  • False consensus (assuming neutral observers would agree with you)
• Countermeasures:
  • Red team: Write the strongest version of your partner's argument
  • External view: What would a couples counselor say?
  • Blind review: Summarize the dispute as if describing two strangers
• Revised approach: Shift from "who is right" to "what is the shared goal"