Stable distributions are a type of probability distribution that are tricky to estimate because they have no clear formula and infinite moments. To solve this, a new method called cumulant estimators has been developed. These estimators use the logarithm of the empirical characteristic function at two different points. The researchers found that these estimators are reliable and work better than other methods when the right points are chosen.