Sequential policy-risk update
Act when evidence earns it.
Turn dated observations into a transparent posterior path. See which update changes the decision state without pretending uncertainty disappeared.
LR above 1 confirms; below 1 disconfirms. Weight 0–1 discounts evidence. Calibrate inputs externally and avoid double-counting correlated sources.
Load the sample or enter at least one evidence row.
—observations
—final posterior
—first crossing
—final update
Posterior path
Update trace
—posterior odds = prior odds × LR^weightPrior sensitivity
—Final posterior using priors 10%, 20%, and 30% with the same evidence.