Seasonal Mortality Summary, England & Wales, 1970 to 2021
Men and Women Aged 60+ Years Old
Summary Data and Analysis
There were 37,000 excess deaths in mortality season 2020 (Oct 2019 to May 2020). 14,000 for women and 23,000 for men1.
According to John Dee’s Almanac, an upper limit of 48% of COVID deaths during that period were "real", i.e. had a clinical coding of acute respiratory alongside a COVID designation.
Assuming all COVID was excess, that would put the tally at 18,000 COVID and 19,000 non-COVID. Incidentally, Only 0.4% of COVID deaths listed COVID as the only code, which would mean 148 deaths.
According to the ONS's own assessment in summer 20202, 16,000 excess deaths were non-COVID which is consistent with these findings.
There are hundreds of papers that demonstrate the interventions were ineffective at best, notably this meta-analysis by John Hopkins University:
According to this meta-analysis the mortality benefit of non-pharmaceutical interventions (NPIs) was negligible so the excess COVID mortality numbers that materialised were never going to be higher.
There has been a substantial increase in much older people due to population growth after WWII that has not been met with substantially increasing excess mortality between 2000 and 2015, which might also partially explain the super excess in 2020.
After 2020, given the expectation for significant pull-forward effect, greater levels of herd immunity, better treatment and a naturally attenuating virus, it is impossible to attribute any mortality benefit to the COVID “vaccine” since mortality season 2021 is only one-third lower than 2020.
Since the NPIs had no effect, the “vaccine” could not have provided any benefit either. No public health intervention was beneficial to the declared COVID pandemic. Only the costs of those interventions (economic and societal) need to be considered by any inquiry.
However, from what I understand, the inquiry is not interested in evidence.
Excess calculated as the difference between the average excess plus 1 standard deviation for the last 50 years given that 1 sigma is the upper bound experienced prior to 2020.