The Observation Theory EncyclopediaFrom TSKAboutBy kindBy chapterBy Lean fileLedgerProvenance

registered concept

DefinitionOf a claim, bar, null, or budget, written into a sealed file before the measurement. Chapter 8 section 8.8. Also registration.
ExampleThe bar of 0.90 for anti-hub recall was registered before the compressed index was scored.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id registered, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equationnone
Assumptions and scope
  • Of a claim, bar, null, or budget, written into a sealed file before the measurement, so that a changed digest would prove a changed prediction. A registered bar discriminates only when the null fails it and the real system passes it.
  • A registered miss is kept as a miss, an identifier burned at pilot is not reused, and every number in the book was registered before it was measured or is labelled as not having been.
  • Registration proves what was claimed and not when, and its chronology rests on the seal’s public receipt, signed tag, or archival deposit.
Prior artnone recorded
Evidencelean/DataMiningAsObservation/Seal.lean, lean/DataMiningAsObservation/Bar.lean
Reviewedsemantic review 2026-09-06; generated 2026-09-10 from records at the commits on the provenance page.
predictionsealed3f2a…measurementrun9c1e…verdictreportedb7d0…each file's digest is recorded before the next step, and a changed digest proves a changed file
Written into a sealed file before the measurement.

Equation

none

Conditions

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

Ledger

none

First stated

Chapter 8 section 8.8 of Data Mining as Observation, with the template in observation-theory-campaigns/experiments/PREREG-TEMPLATE.md:1-71 and the seal rule in observation-theory-campaigns/experiments/SEALS.md:1-10.

Measurements

none

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/Seal.lean, theorems changed_of_hash_ne, hash_eq_of_eq, exists_collision, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

lean/DataMiningAsObservation/Bar.lean, theorems passes_anti, passes_mono, discriminates_iff, no_bar_of_null_ge, exists_bar_of_lt, vacuous_of_null_passes, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

Data Mining as Observation chapters 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14.

Related

preregistration; sealed; bar; ledger class; declaration.

See also

Book equations stated beside the entry’s terms, not defining it: 8.1, 8.3.

Ledger rows that cite the entry’s records without naming it: GO-1, GO-3, NEG-11.

Sources-table rows that share a record with the entry without naming it: chapter 8 section 8.8, chapter 9 section 9.2.

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.

← refusalreliability weight →