How We Work?

FactMed is an independent analytical platform focused on examining how medical and health evidence is translated into public and institutional narratives, rather than issuing binary judgments or providing medical advice.

Our work is grounded in a central premise:
The challenge is often not the science itself, but how its findings are translated into language that drives conclusions or decisions.

Our Methodology

FactMed analyzes the relationship between scientific evidence and its public or institutional presentation through the following steps:

  • Identifying the claim as presented to the public or to decision-makers
  • Identifying the type of evidence used (study, systematic review, expert opinion, guidelines, etc.)
  • Clarifying the limits of that evidence, including strength, context, and uncertainty
  • Comparing the original scientific language with the media or institutional narrative
  • Revealing the gap between what the evidence supports and the conclusions or decisions built upon it

The goal of this process is not to validate or invalidate claims, but to clarify the space between scientific certainty and interpretive assumption.

Non-Binary Epistemic Classifications

FactMed does not use “true / false” verdicts.
Instead, we apply epistemic classifications that highlight the limits of scientific knowledge, such as:

  • Insufficient evidence
  • Out of context
  • Outdated
  • Scientifically contentious
  • Not studied
  • Rooted in tradition
  • Not scientifically testable

These classifications are analytical tools, not final judgments.

What We Do Not Do

  • We do not provide medical advice or treatment recommendations
  • We do not offer personal diagnoses
  • We do not produce original scientific research
  • We do not claim regulatory or professional authority
  • We do not engage in advocacy or campaigning

FactMed is an analytical and explanatory platform only.

Editorial Tone

We adhere to:

  • An institutional, analytical, and non-adversarial tone
  • Precise, non-populist language
  • Transparency regarding evidentiary limits and uncertainty