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witness concept

DefinitionAn independent measurement of whether a certificate's claim was true. Chapter 13.
ExampleThe witness read the replica’s actual position where the certificate had said fresh, and that disagreement is one false clear.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id witness, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equation

Book equation 0.26.

Assumptions and scope
  • A witness is independent of the certificate it grades. A certificate that grades itself has no witness.
  • The witness is the consumer’s own outcome or a measurement of it, so the same certificate has a different witness for each consumer, as the hot and cold readers of one replica show.
Prior artnone recorded
Evidencelean/DataMiningAsObservation/Certificate.lean
Reviewednot yet reviewed; generated 2026-09-10 from records at the commits on the provenance page.
timecertificatewitness
An independent measurement of whether the certificate's claim was true.

Equation

Book equation 0.26.

\[\mathrm{FC}=\Pr\big[W\ \text{refutes}\ \big|\ \mathcal C_t\ \text{clears}\big],\qquad \text{coverage}=\Pr\big[\mathcal C_t\ \text{clears}\big].\]

Book equation 13.1.

\[\mathrm{FC}=\Pr\big[W\ \text{refutes}\ \big|\ \mathcal C_t\ \text{clears}\big],\qquad d_O(\Delta)=\operatorname{tr}\big(P_C\,M_{\mathrm{drift}}(\Delta)\big),\qquad M_{\mathrm{drift}}(\Delta)=\mathbb E\big[\delta_\Delta\delta_\Delta^{\top}\big].\]

Conditions

Conditions are curated in entries.toml rather than read from a record.

Ledger

none

First stated

Volume 14, chapter 19, geometric-observation/chapters/ch19_the_certificate_that_ages.md:61-76, and the freshness program’s umbrella document observation-theory-campaigns/experiments/FRESHNESS-PROGRAM.md.

Measurements

From observation-theory-campaigns/experiments/DATABASE-FRESHNESS-TRACK.md at f7b7c77.

From observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md at f7b7c77.

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/Certificate.lean, theorems falseClear_mul_coverage, coverage_empty, falseClear_mem_unit, minOverStrata_passes_iff, minOverStrata_le_weighted_mean, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

Data Mining as Observation chapters 0, 12, 13, 14.

Related

certificate; false-clear rate; coverage.

See also

Sources-table rows that share a record with the entry without naming it: chapter 12 section 12.6, chapter 13 section 13.3, chapter 13 section 13.4.

Status

Generated 2026-09-10 by encyclopedia/generate.py; book at observation-data-mining f3914f0; the commit of every record is listed in the encyclopedia’s provenance.

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