A new testing procedure has been developed to make decisions based on data, aiming to infer on a single parameter. Traditional tests only allow for two decisions, but this new method offers five possible outcomes, combining the strengths of existing procedures. By using this approach, researchers can reduce the sample size needed for their studies by around 20% while maintaining statistical power. This means they can reach significant results more efficiently, especially when considering hypotheses related to complex theories like those of Einstein.