👉 In statistics, a "herringer" is a statistical term that refers to a statistic where the value of the statistic increases after adding more data. This is often used in the context of regression analysis or confidence intervals for estimating population parameters. For example, if you have a dataset with 10 observations, and you add another observation, say x = 5, then the new value of y will be calculated as: y = f(x) + e, where e is an error term
