It was not socially accepted to ask if someone died with Covid or from Covid. To me it is obvious that this alone already leads to wildly inaccurate data. There

It was not socially accepted to ask if someone died with Covid or from Covid. To me it is obvious that this alone already leads to wildly inaccurate data. There have been incentive structures for hospitals to make their Covid numbers larger than they actually were. There clearly was a bias towards seeing Covid as severe as it can possibly be seen. Not a big surprise for me to see afterwards that the numbers were indeed exaggerated. Tim Röhn's investigations provide some deeper insight (German): https://nitter.net/Tim_Roehn https://nitter.net/Tim_Roehn For example Hamburg put all patients were vaccination status was unknown into the unvaccinated group. This clearly makes no sense and was corrected late, but things like these made the official numbers. They claimed 90% of infections were affecting unvaccinated people. As a consequence politicians started to call it a "Pandemic of the unvaccinated". The real numbers were these: - 63,2 % Impfstatus unbekannt (unknown) - 22,5 % Geimpfte (vaccinated) - 14,3 % Ungeimpfte (unvaccinated) https://nitter.net/Tim_Roehn/status/1471802903191076870#m https://nitter.net/Tim_Roehn/status/1471802903191076870#m The deeper you look, the more you find out, how many numbers were estimated, model-based, outdated, skewed by weird incentives or otherwise incorrect instead of just plain simple counts, based on common criteria, like they appear to be at first glance.