In the realm of statistical analysis, a Type I error can have devastating consequences. A false positive occurs when we reject the null hypothesis although it is actually true. This means detecting a relationship or effect that doesn't exist. As a result, false positives can lead to wasted resources, misguided decisions, and even harmful outcomes.