Distinguishing mechanistic causality from difference-making causality through applied mathematics alongside statistics can help explain discrepant results and improve the reliability of scientific inquiry.
These correlations and associations can be helpful in identifying patterns in the data, generating hypotheses, and designing new experiments
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Causality and Scientific Inquiry: Lessons from Space Physics and Medical Sciences
Distinguishing mechanistic causality from difference-making causality through applied mathematics alongside statistics can help explain discrepant results and improve the reliability of scientific inquiry.