AI-generated conjecture · below the evidence/publication boundary
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Domesday horsepower
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).
Claim (verbatim)
Domesday horsepower. Joins stream-power hydrology to the great fiscal cadastre of 1086: the Domesday survey, in recording what each water-mill rendered to its lord, unwittingly logged a physics meter across England. A mill's earning power was set by the hydraulic power of its site — in hydrology, essentially drainage area times channel slope — and in a functioning rental market the render should capitalize that power. Feudal rent, in other words, should scale with an engineering formula. The conjecture predicts that when thousands of Domesday mill renders are matched to modern terrain-derived stream power at the recorded vills, log render rises with log stream power with a clearly positive elasticity below one; that multiple mills on a single manor split their render in proportion to available head; and that grain-rich arable counties pay measurably more per unit of water power than pastoral uplands — the demand signal layered on top of the physics.
Prediction clause (verbatim)
Matching >=2,000 Domesday mill renders to modern DEM-derived stream power at the recorded vill (discharge proxy times channel slope), log render regresses on log stream power with elasticity between 0.4 and 0.8 and within-county R^2 >= 0.3; multiple mills on one manor split their render in proportion to available head; and render-per-unit-power is systematically 30-80% higher in grain-rich arable counties than in pastoral uplands, reflecting demand rather than physics.
Kill-dataset (verbatim)
Kill: Open Domesday mill renders joined to DEM- and gauge-derived stream power. Elasticity indistinguishable from 0, or R^2 below 0.1 everywhere, kills it.
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 scholarship. Kills and prior scholarship are credited here, by name, as they come in.
On Inferpedia
This conjecture has been linked to the following subject pages on Inferpedia — an encyclopedia of the missing, now in limited preview.
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 reads, no searches, no DB queries); title list supplied at launch, titles only, no verdicts or dossiers seen; prompt pre-committed in docs/GOAL_CONJECTURES_BATCH2_20260705.md (7e55eb8). Novelty unverified by construction.
Novelty / leakage triage
anticipated in the literature — this exact test has never been run
Mill siting has been linked quantitatively to stream-power-adjacent geomorphology (the 2023 knickpoint study), Darby's tradition maps the ~5,600 Domesday mills descriptively, and Langdon's economics treats mills as rent assets for 1300-1540; the render-vs-DEM-stream-power elasticity regression on Domesday data was not located.
- 'Shaping landscapes and industry: linking historic watermill locations to bedrock river knickpoints' (2023) — Mill-siting vs geomorphic power proxies
- Langdon, 'Mills in the Medieval Economy: England 1300-1540' (OUP) — Mills as quantitative economic data, later period
Predictions
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