Weaponized flux: Reflexive control and the struggle against digital authoritarianism

Digital authoritarianism hinges on algorithmic regimes that turn instability into controlled flux: perpetual recategorization that steers behavior and fuels predictive governance. Paradoxically, these same reflexive loops contain their own undoing: when flooded with structured, self-referential contradictions, adaptive classifiers collapse into recursive failure. This essay unpacks the algebraic mechanics of Lefebvre's reflexive control theory and demonstrates how its processes can be repurposed as a counter-flux insurgency, collapsing predictive governance from within by targeting its classification loops rather than merely injecting noise. Building on Cheney-Lippold's work on algorithmic governance, we argue that flux here is harnessed, rather than resisted, to weaponize uncertainty, shape predictable reactions, consolidate power, and ultimately enable digital authoritarian governance.