
Vials with Pfizer-BioNTech and Moderna coronavirus disease (COVID-19) vaccine labels are seen in this illustration picture taken March 19, 2021.
Why current studies (for or against vaccination) cannot be trusted and what we can do about it
The randomized controlled trials (RCTs) to establish the safety and effectiveness of Covid19 vaccines produced impressive results (Polack et al., 2020) but were inevitably limited in the way they assessed safety (Folegatti et al., 2020)[1] and are effectively continuing (Ledford, Cyranoski, & Van Noorden, 2020; Singh et al., 2021). Ultimately, the safety and effectiveness of these vaccines will be determined by real world observational data over the coming months and years.
However, data from observational studies on vaccine effectiveness can easily be misinterpreted leading to incorrect conclusions. For example, we previously noted the Public Health England data shown in Figure 1 for Covid19 cases and deaths of vaccinated and unvaccinated people up to June 2021. Overall, the death rate was three times higher in the vaccinated group, leading many to conclude that vaccination increases the risk of death from Covid19. But this conclusion was wrong for this data because, in each of the different age categories (under 50 and 50+), the death rate was lower in the vaccinated group.
This is an example of Simpson's paradox (Pearl & Mackenzie, 2018). It arises here because most vaccinated people were in the 50+ category where most deaths occur. Specifically: a) a much higher proportion of those aged 50+ were vaccinated compared to those aged <50; and b) those aged 50+ are much more likely to die.















Comment: China currently holds the record for creating the hottest and longest lasting plasma in their 'artificial sun' See also: Why the sun's atmosphere is hundreds of times hotter than its surface