👉 Overcasuistical is a statistical concept that refers to the phenomenon where data from multiple sources are collected and analyzed, but the results obtained are not statistically significant due to the lack of meaningful comparison with other data. This can occur because the sample size or the statistical test used may be too small, or because there are outliers in the dataset that do not contribute significantly to the overall conclusion. Overcasuistical analysis is often used when the goal is to determine whether a particular hypothesis has been adequately supported
