New method accurately measures causal explanatory power in scientific research.
The article introduces a new way to measure how well one thing explains another. It argues that the current method doesn't fully consider how background knowledge affects this explanation. The authors suggest a revised approach that does take this into account. They focus on explaining things in terms of cause and effect, claiming that something explains another thing if it has some level of causal explanatory power.