When counting and measuring, a typical sample size recommendation ranges from

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When counting or measuring, you need enough samples to form a stable, reliable estimate without wasting time. Ten to fifty observations provide a practical balance: enough data to capture typical variation and give a reasonable estimate, but not so many that the task becomes unnecessarily lengthy. With only a few samples, the result can swing a lot from one trial to another, making it hard to trust. Collecting many more than fifty often yields diminishing returns for the extra effort, unless the task has unusually high variability or strict precision requirements. So, ten to fifty is a sensible default range for many counting and measuring tasks, offering a good mix of accuracy and practicality.