Causal Inference in Science

Causal inference in science is the process of determining whether one factor directly affects another. In the context of theory change and scientific progress, it's about understanding how new evidence can lead us to revise or refine our scientific theories. When researchers gather data, they look for patterns that suggest cause and effect, which helps them develop better explanations for natural phenomena. As scientific inquiry evolves, improved causal understanding can lead to breakthroughs, shifting our knowledge and refining how we comprehend the world around us. This critical thinking helps ensure that scientific progress is based on solid evidence.