A game-theoretic probability approach to loopholes in CHSH experiments
Takara Nomura, Koichi Yamagata, Akio Fujiwara
TL;DR
This work recasts the CHSH inequality within game-theoretic probability, avoiding an underlying probability space and focusing on information timing. It formalizes the locality and freedom-of-choice loopholes as structural constraints in sequential hidden-variable games between Scientists and Nature, then presents a loopholes-closed game with two capital processes that monitor (i) convergence to CHSH correlations and (ii) independence-like behavior between settings and hidden variables. A central result shows that these requirements cannot be satisfied simultaneously in the loopholes-closed setting: Nature cannot keep both capital processes bounded, yielding an operational reading of CHSH violations as a consequence of the fundamental informational structure. The framework thus provides a nonprobabilistic, data-driven interpretation of CHSH violations and suggests avenues for extending game-theoretic analyses to other Bell-type scenarios and independence notions.
Abstract
We study the CHSH inequality from an informational, timing-sensitive viewpoint using game-theoretic probability, which avoids assuming an underlying probability space. The locality loophole and the measurement-dependence (``freedom-of-choice'') loophole are reformulated as structural constraints in a sequential hidden-variable game between Scientists and Nature. We construct a loopholes-closed game with capital processes that test (i) convergence of empirical conditional frequencies to the CHSH correlations and (ii) the absence of systematic correlations between measurement settings and Nature's hidden-variable assignments, and prove that Nature cannot satisfy both simultaneously: at least one capital process must diverge. This yields an operational winning strategy for Scientists and a game-theoretic probabilistic interpretation of experimentally observed CHSH violations.
