Sitemap - 2021 - Where are the numbers? by Norman Fenton and Martin Neil

Covid-19: Definitions matter - and these are REAL

14 month-old evidence submitted to UK Parliament on Covid-19 data transparency and accountability

New ONS report on deaths by vaccination: serious anomalies and further obfuscation

Possible systematic miscategorisation of vaccine status raises concerns about claims of Covid-19 vaccination effectiveness

The impact of misclassifying deaths in evaluating vaccine safety: the same statistical illusion

Is vaccine efficacy a statistical illusion?

Comparing all-cause mortality rate by age group: vaccinated v unvaccinated

Covid-19 claims and the ludicrous 'fact checkers' of fullfact.org

A comparison of age adjusted all-cause mortality rates in England between vaccinated and unvaccinated

Paradoxes in the reporting of Covid19 vaccine effectiveness

Revisiting the issue of disparity in Covid-19 death rates by ethnicity

David Fuller: An example of how unqualified ‘journalists’ attempt to discredit and silence anybody publishing COVID-19 research that challenges the ‘official narrative’

The case of the Kandinsky painting and Bayes' theorem

Ivermectin: New Bayesian meta-analysis provides further support for its effectiveness in treating Covid-19

Analysis of COVID-19 vaccine death reports from the Vaccine Adverse Events Reporting System (VAERS) Database

Simpson's paradox in the interepretation of Covid fatality rates for vaccine effectiveness

The problem with ALL studies so far into the risks and/or benefits of Covid-19 vaccines

NFL Covid-19 protocols: a glimpse into the future restrictions for all unvaccinated - and a problem for studies into vaccine effectiveness

Is the Pfizer vaccine as effective as claimed?

COVID-19: Discrepancy between 'cases' and 'illness'

The barriers to academic publication for work that challenges the ‘official narrative’ on Covid-19

Smashing the “1 in 3 people with Covid-19 have no symptoms” claim – and what it means about the true number of ‘cases’

More insights on the extent of COVID-19 among asymptomatics and false positive PCR testing rates

UK lighthouse laboratories testing for SARS-COV-2 may have breached WHO Emergency Use Assessment and potentially violated Manufacturer Instructions for Use

The Cambridge study testing asymptomatics and its implications for the claim that "1 in 3 people with the virus have no symptoms"

COVID-19 risk to Jews

Claim that "1 in 3 people who have the virus have no symptoms" is a misleading exaggeration

What can we learn from very few data points (with implications for excess death numbers)?

The curious change in relationship between 999 COVID calls and COVID deaths

More on the inconsistency between the official NHS "COVID Pathways" data and the official "COVID cases" data