Discussion about this post

User's avatar
DrLatusDextro's avatar

Brilliant article. The misuse of RRR by MSM and GOV was and remains as wilful as it is culpable. ARR and OR (odds ratio) are appropriate depictions of Pfizer efficacy. (Olliaro, Torreele, Vaillant 2021; thelancet.com/microbe vol 2 July) citing Dagan and colleagues (NEJM 2021), showing an ARR (from Israeli data) of 0.46 (NNV:217).

The intentional abolition of control groups and intellectually bankrupt repair to "modelled effectiveness" was (and remains) more GOV lies and damned lies, building on a nonsensical RRR narrative. Public Health England (PHE) describe their modelling of 'vaccine effectiveness' in the following way:

“Vaccination rates in the model are based on the actual number of doses administered, and the vaccine is assumed to reduce susceptibility to COVID-19 as well as mortality once infected.”

“To infer the impact of vaccination, the model was fitted to both ONS [Office of National Statistics] prevalence and daily COVID-19 mortality data in England, resulting in posterior samples for a range of epidemiological parameters. The posterior samples were then used to simulate the number of infections and deaths that would have occurred without vaccination. Finally, the total impact was calculated by comparing the infection and mortality estimates with vaccination versus the simulated outcomes without vaccination.”

The modelling method of PHE exposes the model invalidity and unequivocal rank nonsense. This leaves the political and "medical" "decisions" based on modelling equally invalid. Yet this a disclosure that is consistently stifled, obscured and deflected. Therein lies the true problem.

Expand full comment
Dan...'s avatar

That paradigm will never be over under the current framework. Why? Because it is based on pre-filtered data. Whatever stats you want to apply, it will always be confusing, volatile and uncertain. The whole game is played with unreliability as the key issue.

If you truly want make some progress, you will need to design completely different health statistics, based on completely different indicators. The current ones have been proven useless. Despite this, they are still in use - wow. As if this is not enough, everyone agrees to use these compromised indicators on incomplete, random and corrupted data sets.

It’s all messed up. This is why after 4 years of continuous flood of relevant information, nothing really pivotal has happened. Other than serial mass production of “scientific” articles of no meaningful consequence. If anyone wants to open a new chapter in medicine, now for the real good of these in need, this is the time. But the starting point is with complete revamping of the structure of the current system. Everything else is secondary. The opportunity is already bored with knocking on your doors. It’s this “once in a lifetime” things.

Expand full comment
2 more comments...

No posts