Modern environmental science faces a curious paradox. We have more data than ever, but less certainty. For scientists, policymakers, and the public alike, the sheer volume of studies, each with its own assumptions, experimental conditions, and interpretations, can be overwhelming. Which studies are trustworthy? Which deserve more weight when making decisions about environmental safety? This question has haunted environmental toxicologists who were trying to determine whether pesticides were harming pollinators such as honeybees. Some studies could show significant impacts while others may show minimal effects. Such inconsistencies can fuel the debate over insecticides like neonicotinoids and lead to public confusion. To address this, Professor Keith Solomon, an environmental toxicologist at the University of Guelph, and colleagues set out to bring structure and clarity to the field. Their goal was not to silence debate, but to create a rigorous, transparent, and quantitative framework for evaluating scientific evidence. The result was a methodology called the Quantitative Weight of Evidence, or QWoE.