 Strict conditionalization says that, so long as \(A\) has positive prior probability, the agent’s new subjective probability for a proposition \(B\) after becoming certain of \(A\) should equal her old subjective probability for \(B\) conditional on \(A\). It is by far the most standard model of partial belief update.