Collaborative Data Science
Falsifiability is the principle that a statement or hypothesis must be able to be proven false in order to be considered scientifically valid. This concept highlights the importance of testable predictions in scientific research, as it ensures that theories can be subjected to rigorous scrutiny and potential refutation. When hypotheses are falsifiable, they allow for the possibility of new evidence to emerge that could challenge existing beliefs or theories.
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