Researchers should not rely only on p-values. They should also report effect sizes and confidence intervals, which are more thorough ways of looking at the data. Tiny effect sizes (a one-week cold was reduced on average by one hour—wow!), no matter how significant, are always dubious because subtle but systematic biases, errors, or unknown factors can influence the results.
