Oorzaakeffect

Oorzaakeffect is a proposed mechanism in theoretical discussions of correlations between spatially separated events. It posits that observed correlations arise from a shared, unobserved antecedent rather than direct interaction, signalling, or faster-than-light influence.

The term combines the Dutch word oorzaak meaning "cause" with "effect" to emphasize a common past origin. The concept has appeared in speculative literature as a way to frame how a single latent variable or primordial field could imprint compatible states on multiple subsystems.

According to the model, a common cause or field acts in the early history of a system. When measurements are performed, the resulting data exhibit correlations that are difficult to explain solely by local interactions. Proponents argue that this framework can reproduce certain correlation patterns without invoking nonlocal signaling. Critics note that many such models effectively amount to hidden-variable theories and do not provide unique, testable predictions beyond existing approaches.

Evidence remains largely theoretical. Some models demonstrate that appropriate hidden causes can account for complex correlations in simulations or controlled experiments, but empirical confirmation is lacking and interpretations often hinge on statistical artefacts or experimental design.

Implications of validating the oorzaakeffect would touch foundations of quantum interpretation, causal inference in statistics, and the analysis of complex networks. It underscores the importance of identifying plausible common causes and cautions against over-interpreting correlations as evidence of direct interaction.

See also: Hidden variable, Causal inference, Bell test, Retrocausality.