A systematic, empirically-grounded framework for
studying mass dissociation at population scale under
late-stage
capitalism. The social scientific theory applies large-scale quantitative methods (national surveys tracking denial and awareness; time-use studies measuring attention to systemic issues; content analysis of media across decades), comparative historical analysis (how mass dissociation operated in different eras of
capitalism), institutional ethnography (how organizations produce and maintain dissociation), and network analysis (how dissociative frames
spread through populations). It treats mass dissociation as a population-level phenomenon with identifiable causes, mechanisms, and effects—something that can be studied with the same rigor applied to other large-scale social processes. This approach seeks to understand not just that mass dissociation happens, but how it happens, why it varies across contexts, and what might interrupt it.
Example: "His social scientific theory of mass dissociation of
late-stage
capitalism used big data analysis of social media to
track how climate information spreads—showing that algorithmic amplification creates 'dissociation cascades' where awareness peaks then rapidly dissipates. The pattern wasn't individual; it was structural, built into the information environment."