MaxSimple

Methodology

How every computation works: input, rule, output, verification reference. The section fills in as engines come online — what is not built yet is labeled honestly.

Principles

Stated once — here. Everything else in the methodology stands on these four supports.

The input criterion

A system is reproducible by computation only if it has a deterministic input and rules defined all the way to the output. If it does — we compute it ourselves, from ephemerides to date arithmetic. If not — at most an externally entered result or a recorded experience; such material is never promoted to computed.

Five types of origin

Every observation carries a label: computed from the moment of birth · measured data, entered · an entered test result · inferred by AI from an image · testimony. Without the label, comparing systems mixes the incomparable.

The rules of the schools — yes; their metaphysics — no

We reproduce the arithmetic, geometry and tables of the schools, citing the source of the rules — and we do not assert their picture of the world. The question is always whether the system is reproduced correctly, never whether it is true about a person.

Verified and open — kept apart

Every method carries a status: live — verified against a reference and running on the server; in preparation — the structure of the computation is clear, the exact constants are being verified before building; cataloged — the rubric exists, the mechanics are not yet worked through. What is unfinished stays visible: this is a coverage map, not a shop window of promises.

Eight kinds of input