This digest attempts to warn against the frequent misuses and abuses of statistics. Although these issues are familiar to most statisticians, they can be easily overlooked. These problems can be considered in three broad classes of statistical pitfalls: sources of bias, errors in methodology, and misinterpretation of results.
