A dailysceptic article on the phenomenon of negative vaccine efficacy points out how routinely analysts still assume an efficacy minimum of zero, despite some negative vaccine efficacy examples having been well researched.
However what most caught my attention was this.
Nonetheless, despite my harsh words about IFR education above, we must acknowledge that the UKHSA is so far standing by the basic moral and foundational principles of public statistics. Their answer to the confounders and denominators debate is clearly written, straightforward, reasonable and ends by saying:
We believe that transparency – coupled with explanation – remains the best way to deal with misinformation.
That’s absolutely true. The deep exploration of obscure but important topics by independent parties is possible in the U.K. largely because the HSA is not only publishing statistics in both raw and processed forms, but has continued to do so even in the face of pressure tactics from organisations like Full Fact and the so-called Office for Statistical Regulation (whose contribution to these matters has so far been quite worthless). England is one of the very few countries in the world in which this level of conversation is possible, as most public health agencies have long ago decided not to trust the population with raw data in useful form. While the outcomes may or may not be “increasing vaccine confidence in this country and worldwide”, as the HSA goes on to say, there are actually things more important than vaccines that people need confidence in – like government and society itself. Trustworthy and rigorously debated government statistics are a fundamental pillar on which democratic legitimacy and thus social stability rests. Other parts of the world should learn from the British government’s example.
One such other part of the world is the USA. The FDA wants to keep its Pfizer vaccine approval data under wraps until 2076. They took 108 days to approve, but would like another 20,000 days before we can check their work.
To be sure, the context is different. Last year, they were deciding whether the data supported letting Americans take the vaccine. This year, the issue is whether the data supports forcing Americans to take the vaccine.
If they thought that research to justify denying choice should meet a higher standard than research to justify allowing choice, I’d understand. A woman I know in the States teaches pre-calc to students over the web, under the aegis of a teaching company that also does US-government-funded work. She has a platelets issue that makes her reluctant to take the vaccine, but her employers have told her the US government insists that all their employees be vaccinated – even those who only ever teach remotely from their homes. I can see you’d need many days of data analysis to extract a justification for that!
Sadly, I fear it is their lack of statistical justification that they are hiding.