Two key aspects of the reliability of measurement outcomes are accuracy and precision. Consider a series of repeated weight measurements performed on a particular object with an equal-arms balance. From a realist, “error-based” perspective, the outcomes of these measurements are accurate if they are close to the true value of the quantity being measured—in our case, the true ratio of the object’s weight to the chosen unit—and precise if they are close to each other. [Stanford, 200807]
Science in the domain of the natural world
Subjective acceptance of a model, hence external to science
A consistent cause & effect relationship, such as ranking or heritage, direct or by analogy to another domain
A measurement within the uncertainty range of its prediction, or a set of such measurements consistent with the predicted probability distribution
Part 3 of 4 of the scientific method, the design of models and experiments
To appreciate subjectively that a model depicts a part of the real world, hence external to science