Ecological research has been using the wrong math for years

A new paper shows that two common statistical problems, thought to be separate, are actually the same issue: errors in how things are measured. It turns out that using a specialized statistical tool for clinical studies can lead to major mistakes when applied to ecological data.

For years, researchers in fields like medicine and ecology have used different statistical methods to correct for measurement errors, often picking tools based on their discipline. This paper shows that some of those choices were wrong, leading to 'severe errors' in published findings. Now, scientists have a clear guide to pick the right statistical tool for their specific data, which should improve the accuracy of future research.