In this prior Substack, it was found that age-specific death rates among young adults in England who remained unjabbed varied wildly. Here is the graph of month-specific death rates which have been annualized:
The death rate of the unjabbed young adults in England comes from a crude division of death count by person-years, from columns F and G of the cited source. Explaining the “difference-of-Decembers” is essentially impossible with COVID, considering the median infection fatality rate (IFR) of COVID for those of age 30-39:
0.011%
Because COVID only kills 11 persons of this age group per 100,000 infections, in order to rely on COVID as the explanation would require the mathematically-absurd notion that, during December of 2021, every single person between age 18 and age 39 was “infected” by COVID more than 6 times (every 5 days, every single person develops a “new” COVID infection).
Evidence suggests that it is a biomedical impossibility that COVID explains the “71 per 100,000” difference in death rates between these consecutive Decembers. It appears to even be impossible — even with a 100% attack rate — for COVID to be able to explain one-fifth (20%) of the noted difference in death rates.
In other words, the majority of deaths in England in the unjabbed young remain unexplained.
Reference
[age-specific deaths in England] — ONS. Table 2*. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland
*2021 December death rate uses death count from cell F397 in Table 2, along with person-years in cell G397 in Table 2.
2022 December death rate uses death count from cell F985 in Table 2, along with person-years in cell G985 in Table 2.
[median COVID IFR for those from age 30-39 is 0.011%] — Pezzullo AM, Axfors C, Contopoulos-Ioannidis DG, Apostolatos A, Ioannidis JPA. Age-stratified infection fatality rate of COVID-19 in the non-elderly population. Environ Res. 2023 Jan 1;216(Pt 3):114655. doi: 10.1016/j.envres.2022.114655. Epub 2022 Oct 28. PMID: 36341800; PMCID: PMC9613797. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613797/