Stacking, also known as frequency analysis, is a recommended technique to identify unique outliers in a set of data. This method involves analyzing the frequency of data points to detect anomalies that stand out from the normal pattern. It is commonly used because it helps in effectively highlighting irregularities or rare events within large datasets.