Statistical significance testing is commonly used in research, but it has been misused and abused, leading to doubts about its validity. This paper discusses misconceptions about statistical inference, replication fallacy, and confusion about statistical significance. To address these issues, researchers suggest using effect size tests, statistical power tests, confidence interval estimation, or conducting repetitive research.