This paper attempts to correct for the inconsistent data and reporting around mortality, excess mortality, and deaths that were actually caused by SarsCoV2. Th

This paper attempts to correct for the inconsistent data and reporting around mortality, excess mortality, and deaths that were actually caused by SarsCoV2. They use actuarial science (what insurance & risk analysis uses) to predict a baseline for mortality if no pandemic occurred. This should be a fairly accurate representation working of historical data. It is sad that this submission has been flagged by zealots as it represents an interesting approach to determining the impact of the pandemic and attempts to correct for factors that unfortunately alter the data toward the negative- such as hospital funding contingent on diagnosis.