Observe in this how environmental influence and socio-economic context cultivates complex feedback loops and self-propagating patterns of behaviour, manifesting diminished (physiological and cognitive) opportunity for those adversely affected. Identifying the existence of a statistical trend in data is important and validates intuition through verifiable proof but is hardly a solution to this (or any other, related) sociological conundrum.
A key insight is that the problems we are seeking to solve are for the most part distributed, complex and autonomously “emergent” in the contexts in which they arise. Prospective solutions in “wicked”, distributed problem sets are rarely determined by using the same foundational assumptions and organisational (or regulatory) axioms which have led to their occurrence. The distributed information systems which we experience as social, cultural, economic and cognitive (or technologically-mediated) reality are implicitly weighted towards the self-replication and reproduction of existing patterns and biases.
The challenge in disentangling this kind of problem is that while it is logically identifiable as a subset of a larger (perhaps Global) socioeconomic entity, it is unlikely to be successfully resolved in isolation of a conscientious reappraisal of the axioms, logic and underlying assumptions of the entire (i.e. holistic) socioeconomic system and context in which they occur.