Privacy via predictability introduces a framework that measures privacy leakage as the attacker's incremental ability to predict sensitive information after observing algorithm output. It is generally incomparable to differential privacy but implies mutual-information DP under specific conditions, offering a finer-grained privacy metric tailored to attacker models and sensitive data.