In statistics and research, internal consistency is typically a measure based on the correlations between different items on the same test (or the same subscale on a larger test).

Uniform application of accounting methods.

Uniform data view across caches.

Consistency within oneself across time.

In statistics, Fisher consistency, named after Ronald Fisher, is a desirable property of an estimator asserting that if the estimator were calculated using the entire population rather than a sample, the true value of the estimated parameter would be obtained.

a consistency model used in distributed computing to achieve high availability.