One of the most important questions the serious analyst can ever ask is the simple "Does this make sense?" In my career as a Voice and Data Engineer it is a crucial step in any diagnostic process--if the data and reported symptoms do not fit together into a coherent description of a situation, it is absolutely certain that something is missing.
Above all else, data must make sense. Hypotheses must fit the data to become theories--and they must fit all the data. When something does not fit, that incongruity is where our attention is properly focused.
In assembling and digesting the media reports about the COVID-19 coronavirus pandemic (yes, it is a pandemic even though the WHO still dithers and dickers about using the "p-word"), a glaring incongruity stands out: we are missing cases. More precisely, we are missing large numbers of severe cases and pneumonias. Based on the "official" data, there should be far more severe cases reported than there are.
Above all else, data must make sense. Hypotheses must fit the data to become theories--and they must fit all the data. When something does not fit, that incongruity is where our attention is properly focused.
In assembling and digesting the media reports about the COVID-19 coronavirus pandemic (yes, it is a pandemic even though the WHO still dithers and dickers about using the "p-word"), a glaring incongruity stands out: we are missing cases. More precisely, we are missing large numbers of severe cases and pneumonias. Based on the "official" data, there should be far more severe cases reported than there are.