Statistics is an essential field of study, and it is widely applied in various domains such as finance, healthcare, economics, and social sciences. However, the complexity of statistical analysis can sometimes lead to misinterpretation of the results, which may have severe consequences. Misinterpretation of statistics can cause harm to individuals and organizations by influencing decisions based on faulty assumptions. In this article, we will examine some examples of misinterpreted statistics and solutions to prevent such incidents.