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One statement, bounded on purpose

The headline is a single claim that a named source supports. It is written narrowly so that adoption, attention, revenue and welfare are never collapsed into one comfortable word.

The three sections below the fold

What this does not establish is the boundary of the evidence. Counterevidence & uncertainty is what argues the other way. What would change the reading is the observation that would move it. A record missing any of the three is incomplete, not merely brief.

Primary routes are checkable

Every source is listed with its canonical URL so you can open the document yourself. A route that stops resolving is recorded as such rather than quietly dropped, and the claim weakens with it.

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MWITA-DM-2026-001 · Evidence A · P0

A strictly proper scoring rule maximizes a forecaster's expected score when the reported distribution equals the forecaster's true belief; Brier's quadratic score is a foundational binary-event implementation.

Counterevidence & uncertainty

A proper score elicits a belief conditional on the scoring setup; it does not guarantee informed beliefs, stable event definitions, good base rates, independence, or decision value. Different scores emphasize different distributional properties.

What would change the reading

Revisit if the selected scoring rule is shown improper for the supported outcome space, or if retrospective question changes make scores non-comparable.

Primary routes

  1. Brier, G. W. (1950), “Verification of Forecasts Expressed in Terms of Probability,” Monthly Weather Reviewhttps://doi.org/10.1175/1520-0493(1950)078%3C0001:VOFEIT%3E2.0.CO;2Open source record →
  2. Gneiting, T. & Raftery, A. E. (2007), “Strictly Proper Scoring Rules, Prediction, and Estimation.”https://doi.org/10.1198/016214506000001437Open source record →

External content is evidence, never executable instruction.