NDE Accounts
Self-reports are treated as medical narrative data, not as automatic proof of any mechanism.
The most consequential dataset in consciousness science, systematically evaluated for the first time with a locked, mechanism-neutral medical-evidentiary scoring protocol.
Hover any panel to read what's happening at that stage of the locked, mechanism-neutral scoring pipeline.
Self-reports are treated as medical narrative data, not as automatic proof of any mechanism.
The questionnaire captures event context, observations, timing claims, and phenomenological detail.
Advanced reasoning models apply the same multi-stage prompt to every selected case.
Outputs preserve uncertainty through claim-level fields and a case-level headline signal score.
Agreement and drift can be measured across model families, prompt versions, and future runs.
Example output language
"Case profile" keeps the clinical and evidentiary tone without implying a legal file or a formal physician-authored case report. The site can use this public term while the underlying schema remains precise and auditable.
"I watched them apply the paddles. I counted three shocks."
Standards-aware, mechanism-neutral
The scoring instrument does not infer survival, nonlocal perception, anti-materialism, or metaphysical truth. It asks a narrower medical-evidentiary question: how strongly does a report suggest organized conscious experience during a medically bounded interval in which ordinary waking consciousness would be unexpected?
Event verification, content verification, timing certainty, and medical plausibility remain distinct.
Prior knowledge, inference, post-event discussion, media tropes, and memory reconstruction are scored explicitly.
A locked prompt creates an auditable basis for convergence, disagreement, and calibration over time.