This in turn, significantly reduces the 'cost per test', yet at the same time increases the overall accuracy required in a 'real-world' environment. Because the law of large numbers will create a convergence of results, it means that repeatability, predictability, and accuracy are enhanced, while simultaneously reducing the overall cost of the testing.
The reduction in test costs has a dual effect: it decreases the expense of testing, but also necessitates higher accuracy in real-world scenarios. This is because the law of large numbers causes results to converge, resulting in enhanced repeatability, predictability, and accuracy, as well as lower overall testing expenses.