George P. Box

George P. Box was a renowned statistician known for his work in quality improvement and experimental design. He emphasized that models and predictions should be constantly refined through real-world data, advocating an iterative approach called "self-discovery." One of his famous sayings is, "All models are wrong, but some are useful," highlighting that while models can't perfectly capture reality, they can still provide valuable insights when used carefully. His ideas encourage continuous learning and improvement in understanding complex processes, especially in manufacturing, engineering, and scientific research.