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The Falsifiability Algorithm

Use when validating any claim, framework, decision, or assumption.

All algorithms

The steps

  1. State the claim with maximum precision.
  2. Identify what observation would falsify the claim. If no observation would falsify it, the claim is not a claim — it is a belief.
  3. Identify the current evidence supporting the claim.
  4. Identify the current evidence challenging the claim.
  5. Locate the variable boundaries. What range does the claim operate within?
  6. Status the claim. Resolved (with evidence), bounded (range narrowed), held open (variable acknowledged), or refuted (falsifying evidence found).
  7. If held open: name the conditions under which it would tighten or resolve. If refuted: revise.

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From the GFunnel Methodology v5.1 by Cameron Garlick, licensed CC BY 4.0. Steps are reproduced word for word.