{"id":111,"date":"2022-08-31T02:34:33","date_gmt":"2022-08-31T02:34:33","guid":{"rendered":"https:\/\/experimentalfrontiers.peachpuff-wolverine-566518.hostingersite.com\/?p=111"},"modified":"2022-08-31T02:34:33","modified_gmt":"2022-08-31T02:34:33","slug":"covid-deaths-and-vaccine-deaths","status":"publish","type":"post","link":"https:\/\/scienceblog.com\/experimentalfrontiers\/2022\/08\/31\/covid-deaths-and-vaccine-deaths\/","title":{"rendered":"COVID deaths and Vaccine deaths"},"content":{"rendered":"

Truth was the first casualty in the war on COVID. Trusted sources of medical information became propaganda outlets, and when that wasn\u2019t enough, the raw data on which medical analysis was based was withheld and even falsified by the governments that controlled it.<\/span><\/p>\n

Hence, it\u2019s refreshing to see an honest analysis of apparently honest government data. The <\/span>analysis<\/span><\/a> comes from Christof Kuhbandner and Matthias Reitzner, professors of sociology and mathematics, respectively, at two German universities. The data is from the German Federal Statistical Office (Bundesamt f\u00fcr Statistik). I\u2019m grateful to a fellow Substacker who writes under the pseudonym <\/span>Eugyppius<\/span><\/a> for calling my attention to this article and placing it in context.\u00a0<\/span><\/p>\n

Of course, what we would like to have is a count of deaths and hospitalizations due to COVID and corresponding counts for deaths and hospitalizations due to the vaccines. This data has been disguised or deleted by governments around the world. The very definitions of causality have been gamed for these two cases. <\/span><\/p>\n

Draw your own conclusions.<\/span><\/p>\n

But data on all-cause mortality are more difficult to disguise or to reinterpret, as our two authors are quick to point out. This is a simple list of people who died, together with their age and sex, and no overlaid story about how they met their demise. The point is that we can find patterns in this data that hold implications for COVID epidemiology and COVID policy.<\/span><\/p>\n

Take-home message<\/span><\/h4>\n

Here\u2019s the bottom line: In 2020, we see a slight excess of death in the oldest age group, too small to be significant. In 2021, we see a large excess of death in middle-aged people.<\/span><\/p>\n

My interpretation agrees with Eugyppius (though the authors of the academic paper are sticking to \u201cjust the facts, Ma\u2019am\u201d). My interpretation is that COVID in its first wave (2020) killed mostly people who were already old, and they died earlier than they would have, had it not been for COVID. Vaccine adverse reactions (2021) caused death across a broader range of ages, but we see the signature most prominently in the middle ages. This is because\u00a0<\/span><\/p>\n