The Myth of Neutral Data
Data is often presented as if it were a clean mirror of reality, untouched by human judgement. In practice, however, every dataset begins with decisions: what to count, whom to ask, which categories to use, and which irregular answers to remove. These choices may be reasonable, but they are still choices. A survey on unemployment, for example, may classify a person caring for an elderly parent as economically inactive, although such work is both necessary and demanding. The danger is not that data is useless, but that its apparent precision can conceal the social assumptions built into it.