New study challenges traditional methods for testing causal relationships in data.
The article discusses different statistical tests used to determine if one variable causes changes in another variable over time. The researchers found that some tests are not reliable due to complex mathematical issues, but they recommend using specific methods to test causal relationships between variables effectively.