Parsimony, often referred to as Occam's Razor, is a principle that suggests the simplest explanation or strategy tends to be the best one, minimizing assumptions and complexity. It is widely used in scientific modeling, hypothesis testing, and decision-making to avoid overfitting and enhance interpretability.