The article introduces a new method called sufficient bootstrapping, which focuses on keeping only unique responses. It shows that this method can be more effective than traditional bootstrapping in certain situations, leading to better results with less computational work. The study calculates the benefits of sufficient bootstrapping for both small and large sample sizes, demonstrating its potential to improve efficiency and reduce complexity. The researchers provide R code for comparing the two methods and suggest that further research in this area is needed.