The currency of positive, statistically significant results in science is so strong that many researchers forget that null results matter too. To know that a treatment doesn’t work, or that a disease isn’t related to some bio-marker, is useful information: it means we might want to spend our time and money elsewhere in future. If it’s properly designed, a study should be of interest whether it produces positive or null results.
