We talked about the Laplace estimator, which added k fake data points, 1 for each possible outcome, and that resulted in the slightly more complex out, as shown in this formula over here. and we identified cases where the Laplace estimator is much better than the maximum likelihood estimator, specifically when there isn't much data. 