I am Professor of Risk Information Management at Queen Mary University of London and a Director of Agena, a company that specialises in risk management for critical systems. I’m a mathematician by training with current focus on critical decision-making and, in particular, on quantifying uncertainty using causal, probabilistic models that combine data and knowledge (Bayesian networks). The approach can be summarized as 'smart data rather than big data'. Applications include law and forensics (I've been an expert witness in major criminal and civil cases), health, security, software reliability, transport safety and reliability, finance, and football prediction. https://www.normanfenton.com/
A lot of my recent work has been in exposing the flaws in the data supporting the Covid-19 narrative. Specifically, we have found that the overall risk of Covid-19 has been exaggerated (primarily through the flawed PCR test and the over-testing of asymptomatic people), the cost of lockdowns far outweight the benefits; and - most importantly - there is no evidence to support the claim that vaccine benefits outweight the risks. My Covid publications can be found here: https://www.normanfenton.com/covid-19https://www.normanfenton.com/covid-19 and I also post on twitter https://twitter.com/profnfenton
Because much of my recent work challenges the 'official narrative' on Covid-19 I have been subject defamation and censorship.
I was introduced to Hive by @brianoflondon