Usage of accuracy with values gives me always a headache when I try to think how can I write about higher/lower accuracy so that the reader understands correctly how it affects the values. This is especially problematic when dealing with non-physical unitless quantities. For example, there are N samples and we have a process that has an adjustable accuracy for selecting a sample, let's say the accuracy value is x samples. Then we need to increase that accuracy, i.e. use higher accuracy than x samples. Is it obvious to any human being that higher accuracy or increasing the accuracy means actually using a smaller value for the accuracy setting, or vice versa? Or is there a better way to express it?
I know that in some cases you could use a better term than accuracy; for example, if the question were about deviation, then it is clear that smaller deviation means smaller deviation value. But in some cases you just need to talk about accuracy, so I am not asking for an alternative term, but just a way to talk about higher/lower accuracy so that it becomes clear that it has an inverse effect on the accuracy value. I always end up explaining it explicitly so that the direction of the change cannot be misunderstood.