Synformation: Epistemic Capture Meets AI

Source: Brownstone Institute
by Robert Malone

“In my role as Co-chairperson and member of the CDC Advisory Committee on Immunization Practices, I have been participating in a training course regarding the GRADE methodology for public health decision-making. The acronym stands for Grading of Recommendations Assessment, Development and Evaluation, and this methodology is intended to provide a structured, transparent framework to evaluate the quality (certainty) of evidence and the strength of recommendations derived from that evidence. … The GRADE approach assumes that, in the case of peer-reviewed clinical and epidemiological data (otherwise referred to as ‘evidence-based medicine’), individual studies will reflect various forms of bias (structural, intentional, or unintended), but when systematically analyzed as a collection of information, these biases will either cancel each other out or (if bias is detected) can be statistically compensated for. What could possibly go wrong? Clearly, something did.” (05/05/26)

https://brownstone.org/articles/synformation-epistemic-capture-meets-ai/