false-clear rate concept
| Definition | The fraction of the decisions a certificate cleared in which the witness said otherwise, conditional on clearing and reported beside the certificate's coverage. Equation 0.26. |
|---|---|
| Example | Of 1000 clearances the witness refuted 206, a false-clear rate of 0.206 at whatever coverage the certificate had. |
| Book | Data Mining as Observation, draft 0.2, commit f3914f0; entry id false-clear-rate, kind concept. |
| Status | no ledger row names this entry. Corrections: 3 item(s), see below. |
| Defining equation | Book equation 0.26. |
| Assumptions and scope |
|
| Prior art | none recorded |
| Evidence | observation-theory-campaigns/experiments/LLM-EVAL-TRACK.md:1-50, observation-theory-campaigns/analysis/llm/XPROTO-LLM-graded.json, observation-theory-campaigns/experiments/SEALS.md:85, observation-theory-campaigns/experiments/DATABASE-FRESHNESS-TRACK.md:1-45, observation-theory-campaigns/analysis/mongo/PREREG-XPROTO-MG.md:42, observation-theory-campaigns/experiments/ROUTING-TELEMETRY-TRACK.md:130-150, geometric-observation/BOOK-OUTLINE.md:75, observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:20-35, observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:41-47, observation-theory-campaigns/analysis/csi/PREREG-XPROTO-CSI-SWEEP2.md:1-60, observation-theory-campaigns/analysis/csi/XPROTO-CSI-SWEEP2-graded.json, observation-theory-campaigns/experiments/SEALS.md:90, observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:33-39, observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:41-50, geometric-observation/chapters/ch19_the_certificate_that_ages.md:69-76, lean/DataMiningAsObservation/Certificate.lean |
| Reviewed | not yet reviewed; generated 2026-09-10 from records at the commits on the provenance page. |
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.
\[\mathrm{FC}=\Pr\big[W\ \text{refutes}\ \big|\ \mathcal C_t\ \text{clears}\big],\qquad d_O(\Delta)=\operatorname{tr}\big(P_C\,M_{\mathrm{drift}}(\Delta)\big),\qquad M_{\mathrm{drift}}(\Delta)=\mathbb E\big[\delta_\Delta\delta_\Delta^{\top}\big].\]
Book equation 12.4.
\[\begin{gathered} \mathrm{FC}_{\text{naive}}=\Pr\big[\mathrm{acc}_s<\text{target}\ \big|\ \text{benchmark}\ge\text{target}\big]=\frac1S\sum_{s=1}^{S}\mathbf 1\big[\mathrm{acc}_s<\text{target}\big] \\ \text{when the benchmark clears, so that the naive certificate's coverage is 1.} \end{gathered}\]
Conditions
- A witness must exist. Where none exists the rate is not measurable and the certificate is unassessed, not safe.
- The rate is per consumer, given per read operator, slice, group, or footprint, never as one aggregate.
- Coverage is reported with it. A witnessed certificate clears fewer decisions than a naive one, and the two numbers are read together.
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,
re-homed into the campaigns repository on 2026-08-24.
Measurements
| Where the book states it | Numbers, as the book’s sources table records them | Source |
|---|---|---|
| chapter 12 section 12.6 | XPROTO-LLM, benchmark 0.909, 0.920, 0.909, thirty slices, target 0.8, naive 0.333, aware 0.033, spread 0.380, deployment mean 0.736, six bars on three seeds, sealed 2026-08-25 at b61f7f1 | observation-theory-campaigns/experiments/LLM-EVAL-TRACK.md:1-50;
observation-theory-campaigns/analysis/llm/XPROTO-LLM-graded.json;
observation-theory-campaigns/experiments/SEALS.md:85 |
| chapter 13 section 13.3 | ZooKeeper hot 0.99 cold 0.01 witnessed 0.0, Postgres 0.50 to 0.06, MongoDB 0.47 to 0.03, production Postgres 0.47 to 0.02, real substrates, disjoint seeds | observation-theory-campaigns/experiments/DATABASE-FRESHNESS-TRACK.md:1-45 |
| chapter 13 section 13.3 | BGP 0.351, IS-IS 0.184, OSPF 0.083, second collector | observation-theory-campaigns/analysis/mongo/PREREG-XPROTO-MG.md:42;
observation-theory-campaigns/experiments/ROUTING-TELEMETRY-TRACK.md:130-150;
geometric-observation/BOOK-OUTLINE.md:75 |
| chapter 13 section 13.3 | radio 0.27 to 0.42 naive to 0.055 to 0.13, neural reconstruction 0.28 to 0.13 | observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:20-35 |
| chapter 13 section 13.4 | refuted fit 0.177 T_coh R² 0.915, 0.15 threshold vs 0.10 claim, fresh baseline 0.113, do not cite | observation-theory-campaigns\analysis\csi\CSI-refreshfloor.json:2,111-114;
observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:41-47 |
| chapter 13 section 13.4 | sealed correction, 0.5 dB calibration, floors 4/6/4, 2/2/3, 1, slopes 0.1008, 0.1398, 0.1086, R² 0.7376, 0.9218, 0.6174, bars B1 to B4 and MC1 to MC4 all true, seeds 20260827 to 20260829, sealed 1d3de4a | observation-theory-campaigns/analysis/csi/PREREG-XPROTO-CSI-SWEEP2.md:1-60;
observation-theory-campaigns/analysis/csi/XPROTO-CSI-SWEEP2-graded.json;
observation-theory-campaigns/experiments/SEALS.md:90 |
From
observation-theory-campaigns/experiments/DATABASE-FRESHNESS-TRACK.md
at f7b7c77.
- line 23. XPROTO-PG (analysis/pgrep); Postgres, recovery_min_apply_delay; WAL LSN; ~0.50 → ~0.06
- line 24. XPROTO-MG (analysis/mongo); MongoDB delayed secondary; oplog ts; ~0.47 → ~0.03
- line 25. XPROTO-PGX (analysis/pgx); production PG, netem lag; WAL LSN, pg_stat_statements footprint; ~0.47 → ~0.02
- line 27. XPROTO-ZK (analysis/zk); ZooKeeper 3.9 ensemble; zxid, sync(); hot 0.99 / cold 0.01, witnessed 0.0
From
observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md
at f7b7c77.
- line 25. XPROTO-CSI (analysis/csi); CQI → MCS; HARQ; 0.34–0.37 → 0.10 (OLLA); ✅ 08-23
- line 26. XPROTO-BEAM (analysis/beam); mmWave beam index; HARQ; 0.31 → 0.02 (BFR); ✅ 08-23
- line 27. XPROTO-AICSI (analysis/aicsi); neural-CSI recon (turboquant bridge); precoder/HARQ; recon wins yet 0.28 → 0.13; ✅ 08-23, scope-corrected 08-25 ⚠️
- line 28. XPROTO-HO (analysis/ho); RSRP → serving cell; RLF; 0.31–0.44 → 0.09–0.12; ✅ 08-23
- line 30. XPROTO-PHY (analysis/phy); PMI / RI / TA; HARQ; 0.27–0.42 → 0.055–0.13; ✅ 08-24
Failures and corrections
observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:33-39at f7b7c77. ⚠️ XPROTO-AICSI scope correction (2026-08-25). The v1 seal stands for what it tested, but the reconstruction-vs-consumer dissociation does not survive the community-standard substrate. On real 3GPP CDL-C with a CsiNet-class codec the NMSE-optimal codec reconstructs near-perfectly (NMSE ≈ 0.03) and false-clears 0.0 on all seeds; the pre-registered kill fired. Seeanalysis/aicsi/PREREG-XPROTO-AICSI-V2.md(REFUTED AT SHAKEDOWN, NOT SEALED, kept negative). This is a scope correction, not a retraction. Do not headline the AICSI row; WCNC §III-C is dropped.observation-theory-campaigns/experiments/RADIO-FRESHNESS-TRACK.md:41-50at f7b7c77. The age horizon (analysis/csi/, XPROTO-CSI-SWEEP2 sealed 2026-08-27, graded PASS): at the calibrated 0.10 budget the largest compliant report period is a few TTI at 10 Hz and 1 TTI at 50 Hz and above, so there is no proportionality law to fit. The earlierCSI-refreshfloor.*claim of a floor ≈ 0.177·T_coh (R²=0.915) was an unsealed exploration measured at a relaxed 0.15 threshold against the 0.10 target, with a fresh baseline that never met the budget. It is refuted; the record is kept, not cited. Separately, the optimal linear predictor cannot beat the one-coherence-time wall (Gaussian fading → Wiener optimal), and that wall sits well outside the budget horizon. The RAN governor (analysis/ran) is the reference O-RAN rApp core: observe→measure false-clear→refresh at the floor→escalate (diversity / re-route).geometric-observation/chapters/ch19_the_certificate_that_ages.md:69-76at b2626a6. — the rate at which a clearance is wrong, conditional on the certificate having cleared, reported beside the certificate’s coverage. (An earlier draft wrote the joint probability \(\Pr[\text{clears} \wedge \text{refutes}]\); the joint rate is the product of the two and is what a naive certificate that clears everything reports, since its coverage is one. Corrected 2026-09-03.) A certificate whose false-clear rate exceeds the target it purports to guarantee is vacuous for that consumer, however confident it looks. FC is measurable wherever a witness exists, which — per the table — is nearly everywhere it matters.
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; witness; coverage; coherence time; refresh floor; min-over-strata.
See also
none
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.