Signal and Noise

Signal refers to the meaningful information or pattern you're trying to detect or understand, while noise consists of random, irrelevant data or disturbances that can obscure or distort that message. In various contexts—such as communication systems, data analysis, or scientific measurements—distinguishing between signal and noise is essential for accurate interpretation. Effective analysis involves filtering out noise to accurately identify and interpret the true signal, enabling better decision-making and insights.