In the realm of statistical analysis, a incorrect conclusion can have significant consequences. A false positive occurs when we conclude the null hypothesis when it is actually true. This means finding a relationship or effect that doesn't exist. Therefore, false positives can cause wasted resources, incorrect decisions, and even harmful outcomes.