Objectivity and Impartiality

What automation removes from sports analysis, what it introduces in exchange, and why a model’s biggest weakness is that it never notices its own drift.

Reputation is the most expensive bias in sport. What changes when a model has never heard of a club’s status — and the sampling bias that still creeps in.

Fixed criteria, blind evaluation, held-out validation and ensembles — the four practices that make objectivity checkable, and the one test that settles it.