The article introduces a simple test for complete independence in multivariate distributions. It works by breaking down the variables into categories and then analyzing if they are completely independent. The test uses a chi-squared statistic to determine independence. Through simulations, the researchers showed that the test is accurate in real-world scenarios. Comparisons with other tests were also made, and the new method was applied to actual data with promising results.