The article shows that when you have a set of data points from a specific distribution, you can break down the joint probability of these points into simpler parts. Each part follows a specific pattern called an exponential κ distribution. This splitting method has been proven for other distributions like normal and inverse Gaussian, and now it's also shown to work for the gamma distribution. This finding can be useful for recursive testing in statistics.