Before revision: Common reporting styles of statistical results, such as  confidence intervals (CI), are prone to dichotomous interpretations especially on null hypothesis testing frameworks , for exampleby claiming significant differences between drug treatment and placebo groups due to the non-overlapping CIs of the mean effects , while disregarding the magnitudes and absolute difference in the effect sizes.
After revision: Common reporting styles of statistical results, such as confidence intervals (CI), are prone to dichotomous interpretations especially on null hypothesis testing frameworks , for exampleby claiming significant differences between drug treatment and placebo groups due to the non-overlapping CIs of the mean effects of a studied drug and a placebo are not overlapping, scientists tend to claim significant differences while often disregarding the magnitudes and absolute difference in the effect sizes.