A new test has been developed to check for relationships between different variables in large datasets. This test looks at how the distances between pairs of data points are related, capturing complex patterns that other tests may miss. The test is easy to use and has been shown to work well even with small sample sizes and high dimensions. It can detect non-linear relationships in real-world data. The test is reliable and has good power to detect dependencies, making it a valuable tool for analyzing complex datasets.