Assign the seventh individual's event weights , the conditional probabilities obtained from the original Kaplan–Meier estimator. The last three fractional counts are
Their conditional event fractions are , , and , exactly as in the original censored-data calculation. Hence the fractional allocation reproduces the original estimate:
This illustrates self-consistency of Kaplan–Meier estimation: distributing the unobserved event according to the current conditional fitted event distribution leaves the fitted distribution unchanged. The first imputation in part (b) was not such a self-consistent allocation.