Monte Carlo simulation
A technique that models thousands of possible outcomes to estimate a range of results.
A Monte Carlo simulation runs many randomised paths to show the distribution of outcomes a portfolio might experience, rather than a single forecast. It is a way to reason about uncertainty honestly.
A Monte Carlo simulation is valuable less for precision than for the humility it encourages. By showing a fan of possible outcomes rather than a single line, it makes uncertainty visible and helps a family judge whether a plan survives not just the expected path but the unlucky ones.