---
type: "synthesis"
scope: "corpus-wide"
id: "meta-epistemic-discipline"
sources: ["cross-day"]
---
Every segment carries the same calibration rule: causal mechanisms are well-supported, but headline figures are frequently proprietary, single-study, vendor-sourced, or forecast. Segment-level epistemics notes agree: [[cross-corpus-epistemics]] (governance), [[cross-day-proprietary-evidence-epistemics]] (GEO), [[cross-proprietary-evidence-epistemics]] (attention), [[cross-evidence-quality-caution]] (adoption), [[cross-epistemic-honesty-numbers-vs-mechanisms]] (tail1), [[xd-quantification-gap]] (commercial), [[cross-unverified-metrics]] (agentic), [[cross-epistemic-fog]] (futures). Recurring soft numbers to flag: the 95% failure rate, 42%/31%/10% (A055), the Deloitte AI-value figure (A047), roundtable 135% (A004), 98× ROI (A002), 6.2x MOIC (A121), $1.05T copyright exposure (A126), 641% China growth (A123). Rule: state direction confidently, attribute the number, mark it unverified, and separate authors' own field/model data from externally corroborated patterns. For futures specifically, separate *direction* (robust) from *magnitude/timing* (speculative). Companion: [[meta-contrarian-house-style]].