Abstract
Crisis management relies on datasets and models designed to reduce the uncertainty inherent in critical situations in order to inform decision-making. These datasets and models aim to assess a situation that is, however, dynamic, complex, and highly uncertain; this can lead to forms of reductionism or the creation of ignorance. The challenges of measurement persist even after the crisis has ended, driven by the need to demonstrate that the crisis was effectively managed—since the government was able to assess the situation and rise to the challenge—even if this contributes to a phenomenon of hypermetria.
