How does the Reversal Test work?

It tests for double standards by asking if you would still accept a piece of evidence as valid if it supported the opposite of your current conclusion.

What is the difference between Scout and Soldier Mindset?

Scout Mindset is the drive to see things accurately, even if they are unpleasant, whereas Soldier Mindset is the drive to defend a specific viewpoint or belief regardless of new evidence.

When should I trigger a bias check in Claude?

You should invoke this skill when a prediction feels emotional, when you are stuck at 50/50 indecision, or when you are defending a position rather than questioning it.

Can this skill help with project timeline estimations?

Yes, by using the Confidence Interval Audit and Scope Sensitivity features, it helps identify overconfidence and ensures timelines scale appropriately with project magnitude.

Scout Mindset Bias Check

Name: Scout Mindset Bias Check
Author: lyndonkl

bylyndonkl

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Ciencia de Datos y ML

Detects and mitigates cognitive biases to improve decision-making, forecasting accuracy, and intellectual honesty.

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The Scout Mindset Bias Check skill empowers Claude to adopt a 'Scout Mindset'—the motivation to see things as they truly are rather than how one wishes them to be. By implementing rigorous frameworks like the Reversal Test, Scope Sensitivity analysis, and Status Quo Bias checks, this skill helps users audit their reasoning, validate confidence intervals, and eliminate motivated reasoning. It is an essential tool for high-stakes forecasting, strategic planning, and objective problem-solving where emotional attachment or prior beliefs might cloud judgment.

Características Principales

Reversal Test to expose motivated reasoning and asymmetric evidence standards
Status Quo Bias audit to challenge 'no change' assumptions and inertia
Comprehensive cognitive bias scanning with prioritized remediation steps
Confidence Interval calibration to reduce overconfidence and widen uncertainty ranges
8 GitHub stars
Scope Sensitivity analysis to ensure probabilities scale logically with inputs

Casos de Uso

Calibrating uncertainty and risk levels in data-driven decision making
Validating strategic business forecasts or project success probabilities
Objectively evaluating opposing viewpoints in complex technical debates

Acerca de

Características Principales

Reversal Test to expose motivated reasoning and asymmetric evidence standards
Status Quo Bias audit to challenge 'no change' assumptions and inertia
Comprehensive cognitive bias scanning with prioritized remediation steps
Confidence Interval calibration to reduce overconfidence and widen uncertainty ranges
8 GitHub stars
Scope Sensitivity analysis to ensure probabilities scale logically with inputs

Casos de Uso

Calibrating uncertainty and risk levels in data-driven decision making
Validating strategic business forecasts or project success probabilities
Objectively evaluating opposing viewpoints in complex technical debates