The study looked at how well a certain type of estimator works in linear regression models. They found that this estimator is good at handling unusual data points that are far from the rest, but not so good with points that have a lot of influence. The researchers figured out how to find intervals where the estimator's results stay the same even if there are some weird data points. They also defined a point where the estimator starts to struggle with these unusual points.