Bullwhip on the Grand Canal

Status: No prior located

Status is derived only from the shepherd-authored triage/prediction data above -- community submissions and claims are a separate overlay and can never change it (see the participation panel below).

This is a proposed connection between two domains, generated by a language model. It is not an article and not evidence: it sits below the evidence/publication boundary. A quantitative prediction and a named kill-dataset are attached (when registered) so the claim stays falsifiable rather than merely evocative.

Claim (verbatim)

Bullwhip on the Grand Canal. The bullwhip effect in supply-chain theory says demand variance amplifies as orders move upstream, because long lead times and order batching drive suppliers to overshoot and then correct. This conjecture finds the bullwhip in Ming tribute logistics: the caoyun system shipped grain up the Grand Canal on year-long lead times, under quotas renegotiated in response to last year's shortfalls — precisely the conditions that whip a supply chain. Annual tribute-grain arrivals at Tongzhou and Beijing over 1415-1550 should therefore swing substantially harder than the capital's actual consumption, with the coefficient of variation of arrivals at least one and a half times that of recorded capital-granary disbursements. The overshoot-and-correct dynamic should also leave its fingerprint in negative year-on-year autocorrelation in arrivals — big years followed by corrections — while disbursements stay smooth and non-negative in autocorrelation. A variance ratio near one kills it.

Prediction clause (verbatim)

Over 1415-1550, the coefficient of variation of annual tribute-grain arrivals at Tongzhou/Beijing is >= 1.5x the CV of recorded capital-granary disbursements, and arrivals show lag-1 autocorrelation <= -0.2 (overshoot and correction) while disbursements show >= 0; a variance ratio <= 1.1 kills it.

Kill-dataset (verbatim)

Kill: annual caoyun figures from the Ming Shilu (Hoshi Ayao's tabulations) with granary disbursement records in the Da Ming Huidian.

Nobody has run this test. The kill-data is named above. If you can run it — or you know the paper that already settles it — claim the kill or submit the prior. Kills and priors are credited here, by name, as they come in.

In the atlas

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Provenance

Run: Fresh agent generation · model: claude-fable-5

Generated by a fresh Fable-tier instance at maximum effort with generation-first blindness (no repo/web/DB access); titles-only knowledge of existing items, embedded in titles_supplied per the batch-2 lane rule; prompt pre-committed in docs/GOAL_CONJECTURES_BATCH3_20260705.md (b043140). Novelty unverified by construction. titles_supplied stripped to the committed sidecar conjecture_fresh_fablemax_batch3_titles_supplied_20260705.md at import (schema additionalProperties:false; relaxation queued).

Novelty / leakage triage

no prior formulation located (search dated 2026-07-05)

The caoyun system is documented descriptively (quota structures, administration) and bullwhip historiography reaches back to 1920s economics, but no variance-amplification analysis of tribute-grain logistics was located — the join appears unmade. No prior formulation located (search dated 2026-07-05).

chinaknowledge.de, 'caoyun' entries — The institutional substrate

Predictions

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