floor, ceiling concept
| Definition | A floor is a lower bound a quantity cannot fall below and a ceiling an upper bound it cannot exceed, each proved or measured and named as such. Chapter 0 section 0.9 and chapter 13. |
|---|---|
| Example | The refresh floor was 4 slots at 10 hertz, and the Poisson ceiling at 10 expected retrievals per row is about 20. |
| Book | Data Mining as Observation, draft 0.2, commit f3914f0; entry id floor-ceiling, kind concept. |
| Status | refutes or corrects [missed]. Corrections: 1 item(s), see below. |
| Defining equation | Book equation 0.17. |
| Assumptions and scope |
|
| Prior art | none recorded |
| Evidence | geometric-observation/claims/LEDGER.md:106, geometric-observation/chapters/ch07_cost.md, geometric-observation/claims/LEDGER.md, lean/DataMiningAsObservation/CoherenceTime.lean, lean/DataMiningAsObservation/PoissonCeiling.lean, lean/DataMiningAsObservation/YoudenF1.lean |
| Reviewed | not yet reviewed; generated 2026-09-10 from records at the commits on the provenance page. |
Equation
Book equation 0.17.
\[\Pr[X\ge c]=1-\sum_{i<c}e^{-\mu}\frac{\mu^{i}}{i!},\qquad c^{\star}=\max\{c:\ n\Pr[X\ge c]\ge 1\},\qquad \mu=\frac{n_q\,k}{n}.\]
Book equation 5.4.
\[\begin{gathered} F_1^{\max}\ \le\ \sup_{t\in[J,\,1]}\ \frac{2t\pi}{t\pi+\pi+(t-J)(1-\pi)},\qquad J=\max_{\tau}\big(\mathrm{TPR}-\mathrm{FPR}\big),\qquad \pi=\text{prevalence}, \\ J\le 2A-1\ \text{when the ROC curve is concave, and not in general.} \end{gathered}\]
Book equation 13.2.
\[\begin{gathered} T_{\mathrm{coh}}=\frac{0.423}{f_D}, \\ \text{refuted fit:}\ \ \phi\approx0.177\,T_{\mathrm{coh}}\ (R^{2}=0.915), \qquad \text{sealed:}\ \ \phi\le 6\ \text{TTI at }10\ \text{Hz},\ \ 1\ \text{TTI at}\ \ge50\ \text{Hz}. \end{gathered}\]
Conditions
- A floor is a lower bound a quantity cannot fall below, and a ceiling an upper bound it cannot exceed, each proved or measured and named as such. The refresh floor is the shortest renewal that keeps a certificate within its error, the Poisson ceiling is the count chance allows, and the Youden ceiling bounds the best F1.
- A floor that was fitted as a fraction of the coherence time was refuted, and the omission floor that was first read as unbounded was corrected to a floor, so each is a measured object with a record.
Conditions are curated in entries.toml rather than read
from a record.
Ledger
- refutes or corrects. NEG-13 → resolved
[missed]. (GO-P-2026-026, prospective, real LLM) Appendix-E’s omission floor is a rate-irreducible downstream wall on trained Llama read operators.geometric-observation/claims/LEDGER.md:106.
First stated
Chapter 0 section 0.9 and chapter 13 section 13.4 of Data Mining
as Observation, with the omission floor in
geometric-observation/chapters/ch07_cost.md and the Youden
ceiling in theory-radar/paper/astar_paper.tex:94-110.
Measurements
| Where the book states it | Numbers, as the book’s sources table records them | Source |
|---|---|---|
| chapter 4 section 4.2 | commission tax of order half r log M over m, omission floor, unbounded corrected to floor, naive projector 30 percent over, VI-6 | geometric-observation/chapters/ch07_cost.md
section on mismatch; geometric-observation/claims/LEDGER.md
VI-6 |
| chapter 4 section 4.2 | floor measured on 16 of 16 heads, naive assumption off 20 to 60 percent, about 100000 times, 0.10 nats against about 6e-7, first gate missed 0 of 16, NEG-13 | geometric-observation/chapters/ch07_cost.md;
geometric-observation/claims/LEDGER.md
GO-P-2026-027 and NEG-13 |
Failures and corrections
- NEG-13 → resolved,
[missed]. (GO-P-2026-026, prospective, real LLM) Appendix-E’s omission floor is a rate-irreducible downstream wall on trained Llama read operators.geometric-observation/claims/LEDGER.md:106.
Invariance envelope
none declared
Machine checked
lean/DataMiningAsObservation/CoherenceTime.lean,
theorems clarke_to_three_decimals, examples,
refuted_law_exceeds_sealed, at observation-data-mining
f3914f0; what the check covers is stated in the book’s appendix
C.
lean/DataMiningAsObservation/PoissonCeiling.lean,
theorems mass_nonneg, tail_antitone,
tail_zero, tail_le_one,
expectedAtLeast_antitone, example_mean, at
observation-data-mining f3914f0; what the check covers is stated in the
book’s appendix
C.
lean/DataMiningAsObservation/YoudenF1.lean,
theorems f1_eq, f1_le_of_youden,
auroc_eq, youden_eq,
youden_exceeds_auroc_form, at observation-data-mining
f3914f0; what the check covers is stated in the book’s appendix
C.
Used in
Data Mining as Observation primer S, chapters 0, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14.
Related
refresh floor; Poisson ceiling; Youden index; budget cliff; bar.
See also
Ledger rows that cite the entry’s records without naming it: OT-4.
Sources-table rows that share a record with the entry without naming it: chapter 4 section 4.2, chapter 6 section 6.3, 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.