Statistical invariance refers to the property of a statistical model or process that remains unchanged under specific transformations or conditions, ensuring consistent behavior across different scenarios. This concept is crucial for the reliability and generalizability of statistical analyses, as it underpins the assumption that certain properties or relationships hold true regardless of the context or scale.