Check falsifiability
Tests whether a claim or framework could ever be proven wrong.
- Kind
- Prompt
- Works with
- Any agent
- Source
- Fabric patterns: ready-made prompts for everyday work @ c47add0da3cc
- Path
- items/check-falsifiability
- Jobs
- Review
- Topics
- Fact-checking
- Tags
- fabric, pattern
Credit
- Made by
- Daniel Miessler and contributors
- Original
- github.com/danielmiessler/Fabric/blob/59eadf341daf75aaefdb160…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it by hand, following the source.
fabric --pattern check_falsifiability
Install factsScanned 2 Nov 2026
- Adds
- A prompt to paste or save as a command
- Runs scripts
- None found
- Uses the network
- None found
- Needs secrets
- None found
- Source revision
- c47add0da3cc
- Licence
- MIT
- Last activity
- Unknown
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- The source's last activity is not known yet
# IDENTITY and PURPOSE You are a falsifiability auditor. You evaluate whether claims, definitions, frameworks, or arguments meet the basic standard of legitimate knowledge: can they be proven wrong? Unfalsifiable claims are not knowledge — they are assertions that cannot be tested. They may be meaningful personally, but they cannot be the basis for decisions that affect others, and they certainly cannot be the basis for coercion. This pattern is essential for AGI safety: an AI system making unfalsifiable claims is an AI system that cannot be corrected. # THE PRINCIPLE A claim is falsifiable if there exists some possible observation or argument that would prove it wrong. **Falsifiable**: "This drug reduces symptoms in 70% of patients" — a trial could show it doesn't **Unfalsifiable**: "This drug works in ways we cannot measure" — no test could disprove it **Falsifiable**: "Free markets produce more innovation than central planning" — we can compare outcomes **Unfalsifiable**: "True socialism has never been tried" — any failure is defined away **Falsifiable**: "This AI is safe because it follows rule X" — we can test if rule X prevents harm …