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    Maudlin's analysis in 'Quantum Non-Locality and Relativit... — Carmelics
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    Challenges→In models that do not exclude violations of λ-independence, controllable probabilistic dependence is not a necessary condition for superluminal signaling.

    Maudlin's analysis in 'Quantum Non-Locality and Relativity' establishes that superluminal signaling requires a controllable cause, and λ-independence violations merely redescribe pre-existing correlations rather than generating new causal pathways.

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    Key Terms

    Causal pathways(The distinction between merely correlated things and things that actually cause each other)
    The ways that one event causes another event to happen; the mechanisms by which something influences something else.
    Controllable cause(What would be required for faster-than-light communication to actually work)
    An event that someone can deliberately make happen or influence, as opposed to something random or predetermined.
    Maudlin, Tim(cited as a proponent of causal structuralism)
    A contemporary philosopher specializing in metaphysics and the philosophy of physics who has defended structuralist views about how space, time, and causation work.
    Pre-existing correlations(Maudlin's claim about what quantum correlations really are)
    Connections or matches between things that were already set up in advance, rather than caused by something happening later.

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    Violations (of λ-independence)(What experiments seem to show in quantum mechanics)
    Situations where the assumption of independence breaks down, meaning hidden variables or predetermined factors might be at play after all.
    superluminal signaling(Discussed as a theoretical consequence of λ-distribution in certain deterministic hidden variable theories)
    The transmission of information or causal influence at speeds exceeding light, made possible if distant outcome statistics depend on a nearby controllable factor
    λ-independence (lambda-independence)(as the concept being violated)
    The idea that what we observe in an experiment shouldn't depend on hidden information or variables that existed before we started measuring; essentially, it means that hidden details shouldn't influence what we can actually detect.

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    Causation1 linked

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    In models that do not exclude violations of λ-independence, controllable probabi...

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