The article explores a new way to calculate confidence intervals for a specific type of statistical measurement. The researchers compared their method to others and found that it performed well with small sample sizes and high confidence levels. They tested it with different types of distributions, like the normal bell curve and some others with longer tails. The new method uses a few key data points to estimate the parameter of interest. Overall, the results show that this new approach is effective for creating accurate confidence intervals in various scenarios.