Rouvroy and Berns provide one of the sharpest and most influential accounts of the passage from statistical government to algorithmic governmentality. Their central paradox is that contemporary data systems appear to move beyond the old norm, the average and the explicit category, yet this apparent a-normativity does not free subjects. Instead, it produces a new mode of governance that operates through correlation, prediction and pre-emption. Algorithmic governmentality does not need to address people as conscious political subjects. It can act on dividual traces, behavioural fragments, probabilities and profiles before a person has articulated a claim. Power becomes environmental, anticipatory and infra-discursive. The concept of “a-normative objectivity” is decisive: algorithmic systems often present themselves as immanent mirrors of reality—not decisions but patterns, not judgement but correlation, not ideology but signal. This is politically dangerous because it bypasses the scene of justification. The subject is no longer disciplined by an explicit norm that can be challenged but modulated by a field of personalised probabilities that remains largely inaccessible. Rouvroy and Berns also discuss the prospects of emancipation, suggesting that “disparateness” (the refusal to be captured by any single profile) may be a condition for individuation. The essay is essential reading for anyone concerned with surveillance, AI ethics, data justice and the future of public space.