The Quasi-Monte Carlo method is better than standard Monte Carlo for numerical integration, but estimating its error has been tricky. The usual error estimator doesn't work well with Quasi-Monte Carlo. Researchers suggest a new way to estimate error based on pointsets with a specific discrepancy value. Initial results show promise for this new approach.