The article introduces a new method called orderalpha for analyzing efficiency in data using Stata. Traditional methods like DEA and FDH are sensitive to outliers and errors, but orderalpha reduces this sensitivity by focusing on a subset of observations. This new approach allows for more accurate analysis of efficiency and can detect potential outliers in the data.