The article introduces a new method called reflective consistency for improving the performance of distributed data stores like Cassandra. This method helps the system adapt to changing conditions and maintain a desired level of consistency. By implementing reflective consistency in Cassandra, users can specify how tolerant they are to anomalies, leading to a decrease in costly strong reads and minimal performance overhead.