A statistically significant result is necessarily scientifically important.
The ASA Statement on p-Values: Context, Process, and Purpose
American Statistical Association · 2016
Principle 5 · DOI 10.1080/00031305.2016.1154108
Statistical significance does not measure the size of an effect or the importance of a result.
Quoted in the original language of the source.
Open the public source ↗The statement addresses interpretation of p-values and statistical significance. It does not evaluate the underlying study design, data quality, or substantive field claim.
CounterfindingThe cited principle directly distinguishes statistical significance from scientific, practical, or clinical importance.
The source does not carry the word “necessarily”. A significant result may still be trivial, biased, or substantively unimportant.