  In this paper I conceptualise a novel approach for capturing coincidences
between events that have not necessarily an observed causal relationship.
Building on the Transcendental Information Cascades approach I outline a tensor
theory of the interaction between rare micro-level events and macro-level
system changes. Afterwards, I discuss a number of application areas that are
promising candidates for the validation of the theoretical assumptions outlined
here in practice. This is preliminary work that is sought to lay the foundation
to discover universal mathematical properties of coincidences that have a
measurable impact on the macroscopic state of a complex system and are
therefore to be considered meaningful.

Physics and Society;Dynamical Systems;Chaotic Dynamics;Data Analysis, Statistics and Probability