Simply applying normal statistics to candidates feels wrong as we usually have to make the “random independent variable” assumption for the simple statistical a

Simply applying normal statistics to candidates feels wrong as we usually have to make the “random independent variable” assumption for the simple statistical analysis we do. I fairly certain that assumption does not hold about humans. Our social environment has a direct impact on our work outcomes. Ergo, simply picking the top best candidates for some individual measure candidates does not guarantee the best work outcomes and so, depending on the effect size, doesn’t necessarily confer any advantage.