CONCEPT
Matters of Fact vs. Matters of Concern
Bruno Latour's distinction between questions that are settled and uncontroversial and those that are contested, value-laden, and entangled with power—and his diagnosis that the most important political work of our moment is converting the second kind back from being falsely presented as the first.
A matter of fact is a claim whose production has been forgotten—the network of actors, decisions, and power that made it authoritative has been rendered invisible, leaving only a clean number or settled assertion. A matter of concern is the same kind of claim before the network has been smoothed away: contested, value-laden, shaped by interests and perspectives the settled presentation conceals.
Bruno Latour argued that modern thought has a persistent and consequential tendency to treat matters of concern as though they were matters of fact—to close contested questions by appealing to “the data” as though data spoke for itself, without advocates, without framing, without the interpretive infrastructure that transforms raw numbers into claims about the world. AI discourse is saturated with this conversion: productivity statistics, democratization claims, capability assessments—all presented as settled facts, all actually contested in ways the presentation systematically conceals. Latour's method demands reversing the