Abstract
In the social sciences, the inadequate corona data policy of the Robert Koch Institute (RKI) and the focus on the daily or cumulative number of confirmed Covid 19 cases has been criticised, albeit only sporadically, already in spring 2020. For example, one of the leading statisticians in sociology in Germany, Rainer Schnell - together with Menno Smid of the Infas Institute for Applied Social Science - stated in unsparing clarity at the digital colloquium ‚Sociological Perspectives on the Corona Crisis‘ of the Social Science Research Center Berlin on 15 April 2020 that it was incomprehensible why the RKI would limit itself to absolute reporting incidences of those tested positive without taking into account influencing factors such as test occasions and test frequencies. The RKI also refrained from representative surveys on the incidence of infection and instead relied on unreliable survey instruments. Professional pandemic management is simply not possible without a solid database. These early cautionary recommendations went unheeded instead of shedding light on the darkness of the official data desert on the actual infection rate and individual infection risks.
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