Negative or null results refer to outcomes that do not support the original hypothesis — showing no effect, an unexpected effect, or an outcome opposite to what was expected. While they may seem like failures, they are useful data points that help to refine methods, rule out assumptions and reveal limitations, to build on existing knowledge and inform future work.