Wells' theorem is a concept in the field of probability and statistics, particularly related to the behavior of random variables. It provides a framework for understanding how certain conditions can influence the likelihood of specific outcomes. This theorem is often applied in various scientific disciplines, including physics and economics, to model complex systems. The theorem emphasizes the importance of considering the underlying assumptions when analyzing data. By recognizing these assumptions, researchers can better interpret results and make more accurate predictions. This approach is crucial for ensuring the reliability of findings in studies involving random processes and statistical inference.