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Proper scoring rules of subjective probability assessments have been shown to be separable into distinct calibration and refinement components. This article presents a graphical description of this separation theorem as applied to the Brier score (quadratic loss) of assessed probabilities for a sequence of observable events. Configurations of achievable calibration, refinement, and Brier scores are exhibited in three-dimensional space and by projection into interpretable subspaces. Relationships of calibration and refinement to the usual sum-of-squares partition in analysis of variance are denoted. Controversy concerning the implications of long-run calibration for probability theory based solely on the principle of coherence is outlined.
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