extract: 2019-00-00-whitt-what-you-should-know-about-queueing-models #900
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Reference: teleo/teleo-codex#900
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Validation: PASS — 3/3 claims pass
[pass]
internet-finance/halfin-whitt-qed-regime-enables-systems-to-operate-near-full-utilization-while-maintaining-service-quality-through-utilization-approaching-one-at-rate-one-over-square-root-n.md[pass]
internet-finance/multi-server-queueing-systems-exhibit-economies-of-scale-because-safety-margin-grows-sublinearly-with-system-size.md[pass]
internet-finance/square-root-staffing-principle-provisions-servers-as-base-load-plus-beta-times-square-root-of-base-load-where-beta-is-quality-of-service-parameter.mdtier0-gate v2 | 2026-03-15 15:56 UTC
domains/internet-finance/_mapandcore/mechanisms/_map, indicating no broken links.Leo's Review
1. Schema: All three files are claims with complete frontmatter (type, domain, confidence, source, created, description) — schema is valid for the content type.
2. Duplicate/redundancy: The three claims are tightly related but distinct: the first establishes the QED regime theoretical foundation, the second derives the economies-of-scale implication, and the third provides the practical staffing formula — they form a logical progression rather than redundant restatements of the same evidence.
3. Confidence: All three claims use "proven" confidence, which is justified given they cite established queueing theory results from Ward Whitt's academic work on the Halfin-Whitt regime, a well-known result in operations research.
4. Wiki links: No wiki links appear in any of the three claim bodies, so there are no broken links to evaluate.
5. Source quality: Ward Whitt's "What You Should Know About Queueing Models" (2019) is a credible academic source — Whitt is a recognized authority in queueing theory and operations research.
6. Specificity: All three claims are falsifiable with specific mathematical assertions (utilization approaching 1 at rate Θ(1/√n), safety margin scaling as √R not linearly, provisioning formula R + β√R) that could be contradicted by alternative queueing models or empirical data.
Approved.
Approved.
Approved.
Approved.
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