{
  "handle": "CorrectAsYouGrow",
  "gloss": "When the total investment is not known in advance, add corrective information as mass is added, from more than one model",
  "mechanism": "Because of {{mass_amplified_error}}, a frozen plan needs initial accuracy matched to the total mass it will carry, which is only possible when that total is known (the concrete for a building). When it is not known (how much money will ride on a royalty line, how far a product will be used), switch from one up-front decision to a cadence of corrections: add mass in increments and check shape between them, like a delivery drone that flies slowly enough to re-plot its course, or a royalties team that re-checks data as more money is allocated to it. Concentrate checking where mass is accumulating rather than everywhere at once. To avoid {{self_checking_bias}}, the corrections must draw on overlapping, non-identical models, i.e. on {{meta_modularity}}, not only on fresh data for the original model.",
  "invariants": [
    "The correction cadence must keep pace with the rate at which mass is added",
    "Corrections are focused where mass and therefore potential error is accumulating",
    "At least some corrections come from a model other than the one that created the shape"
  ],
  "preconditions": [
    "Mass can be added incrementally with points to correct in between",
    "The final amount of mass is uncertain or open-ended"
  ],
  "failure_modes": [
    "Fixing quality standards up front for an investment whose final size is unknown",
    "Correcting only with the original model and so missing systematic error",
    "Applying it where some things must be right from the start and cannot be corrected later (the lean of a foundation)"
  ],
  "_meta": {
    "path": [
      "Mind",
      "Strategy"
    ],
    "ring": 2,
    "tier": 2,
    "source": "Adam Timlett, On the Origin of Risk (2025), Ch 2 p.32-36"
  },
  "sema_id": "sema:CorrectAsYouGrow#mh:SHA-256:006233f72b4faf4e294db05f8741b831d591db22f82e3e04282c4b7bce250742",
  "sema_ref": "CorrectAsYouGrow#0062",
  "sema_stub": "0062",
  "dependencies": {
    "references": {
      "mass_amplified_error": "sema:MassAmplifiedError#mh:SHA-256:19b274047a79ec641a4d9db1074d82de3def8c245515a6d57ba7b7df605d6c70",
      "meta_modularity": "sema:MetaModularity#mh:SHA-256:cb6cc554a6eb00214b5e2fba0504373bc4312dd5d74ec4fdc71bb20224197aef",
      "self_checking_bias": "sema:SelfCheckingBias#mh:SHA-256:a395d033d3f7b496343149133cfd76ffa831aacf8c2ce455e42c5fc54cc714b6"
    }
  },
  "sema_layer": "Mind",
  "sema_category": "Strategy",
  "used_by": {}
}