OSM evidence

Separate official mechanics from useful heuristics and noise.

OSM contains hidden mechanics and noisy outcomes. Record provenance and confidence, test one meaningful change at a time and avoid converting isolated wins into universal rules.

The essentials

What matters in practice

Distinguish confirmed mechanics from community heuristics

Run useful post-match comparisons despite noisy results

Keep dates, sources and confidence visible to readers

A useful routine

A simple way to approach it

Source

Record where a claim came from and when it applied.

Grade

Separate official, observed and speculative claims.

Test

Use repeated evidence before promoting a rule.

Go deeper

Evidence guides

Myth buster

OSM engine rules and myths

Eight popular claims graded against official OSM material and transparent model assumptions.

Testing

Post-match testing

Turn outcomes into controlled learning instead of copying wins.

Measurement

Evaluation models

Structured methods for tactical and transfer evaluation.

Confidence

Evidence confidence and myths

Separate mechanics, heuristics and unsupported claims.

Sources

Source audit

Review provenance, limitations and primary OSM references.