On safe post-selection for Bell tests with ideal detectors: Causal diagram approach
Pawel Blasiak, Ewa Borsuk, Marcin Markiewicz

TL;DR
This paper introduces a causal diagram approach to ensure valid conclusions about Bell nonlocality from post-selected data, addressing concerns of selection bias in ideal detector scenarios.
Contribution
It presents the all-but-one principle, a criterion ensuring nonlocality claims remain valid despite post-selection, using causal inference tools.
Findings
The all-but-one principle guarantees valid Bell nonlocality conclusions with post-selection.
Causal diagram methods provide a systematic framework for analyzing post-selected Bell tests.
The approach applies to multipartite entanglement schemes with conserved particle numbers.
Abstract
Reasoning about Bell nonlocality from the correlations observed in post-selected data is always a matter of concern. This is because conditioning on the outcomes is a source of non-causal correlations, known as a selection bias, rising doubts whether the conclusion concerns the actual causal process or maybe it is just an effect of processing the data. Yet, even in the idealised case without detection inefficiencies, post-selection is an integral part of experimental designs, not least because it is a part of the entanglement generation process itself. In this paper we discuss a broad class of scenarios with post-selection on multiple spatially distributed outcomes. A simple criterion is worked out, called the all-but-one principle, showing when the conclusions about nonlocality from breaking Bell inequalities with post-selected data remain in force. Generality of this result, attained…
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