Intent
To prevent statistical and numerical manipulation from bypassing critical judgment.
Transformation
From intimidation by or blind acceptance of numbers → systematic numeric skepticism and auditable evidence trails.
Core Ideas
Relative vs absolute risk, surrogate outcomes, p-hacking, and denominator distortion are common ways numbers mislead without direct falsehood.
Fermi estimation forces rough, order-of-magnitude reality checks against exaggerated claims.
The Evidence Log (who said what, when, with what source) creates a permanent, auditable trail that survives narrative shifts.
Structure
- Demand base rates, sample size, and incentives behind any statistic
- Apply Fermi-style rough calculation to test plausibility
- Maintain a simple Evidence Log: claim → source → timestamp → verification status
- Revisit the log when new information appears
Real-World Anchor
Elite communications often rely on vague or selective numbers (“no recollection”, “normal relationship”) to obscure material flows. Quantitative auditing combined with evidence logging exposes the gap between public statements and documented actions.
Representations
Synopsis
Numbers are powerful but frequently deceptive. Combine Fermi estimation with transparent evidence logging to restore judgment.
Relational Map Outline
Central node: Quantitative Deception
- Left branch: Common Techniques (relative risk, p-hacking, denominator tricks)
- Right branch: Countermeasures (Fermi estimation, base rates)
- Bottom branch: Evidence Log
Sketchnote Concept
A calculator with question marks over the display. Arrows pointing to a simple log table with columns: Claim | Source | Date | Verified?