The article discusses how certain estimators in statistics can be expanded using small parameters, allowing for more accurate predictions with a moderate amount of data. These expansions are not just theoretical but can be applied to real-world situations. The researchers have found that these expansions are valid for all sample sizes and can be used to calculate or estimate constants in inequalities.