You would “test” the theory or hypothesis.
The “tests” would -
either (A) verify the hypothesis or theory,
or (B) “refute” or “debunk” the hypothesis.
You need to remember science is about testing the hypothesis, and testing means that you are trying refute or find faults with the hypothesis, are just important as trying verifying.
Another word for “falsifiability” or “falsification”, other than “testability”, is “REFUTABILITY”.
While scientists are formulating their respective hypotheses, the only way to be objective is to to find out if the hypothesis is falsifiable (testable or refutable), before they actually perform the tests.
If, for example, the “potential” or “proposed” hypothesis cannot be tested, then it isn’t falsifiable or refutable. If so, then his or her work isn’t even a “hypothesis”.
Being a falsifiable hypothesis doesn’t mean the hypothesis is true...not yet. The hypothesis hasn’t been tested yet.
The hypothesis is never true or false by default. Only the tests or evidences can determine if the hypothesis is true or false.
But if the hypothesis is falsifiable, then the scientist must figure out how he or she could possibly test the hypothesis; and must document in the hypothesis just HOW the hypothesis will be tested. The tests or experiments must be rigorous enough, that there is a big chance that his or her hypothesis will fail.
If the hypothesis is able to withstand 100 or 1000 experiments, then the hypothesis has high probability of being true. But if hypothesis failed in most or all of the 100 or 1000 experiments, then it is high probability that the hypothesis has been refuted.
If the hypothesis failed in their experiments, repeatedly, the scientist can do one of two things:
- He or she can give it up and put refuted hypothesis in the trash can or put it through shredder.
- Or the scientist can put the hypothesis through a different or alternative type of experiment.
If the hypothesis continued to fail repeatedly in the second set of test, then hypothesis has been thoroughly debunked the scientist should definitely throw away the refuted hypothesis.
Michael Behe, a biochemist who have joined Discovery Institute (DI) and followed Intelligent Design (ID), wrote his proposition that support the Designer, called the Irreducible Complexity (IC).
The Irreducible Complexity failed to be falsifiable, because there are no way to test the Designer, therefore it isn’t even a hypothesis. And if the Designer cannot even be tested, it cannot be a scientific theory.
Irreducible Complexity is pseudoscience garbage, and should have long ago being discarded. But Behe refused to ditch his unfalsifiable and untestable model. And the Discovery Institute also refused to give up on Behe’s unfalsifiable paper, so they continued to pour money, not on science, but promoting IC in dishonest propaganda campaign.
Michael Behe is an example of a biased and dishonest scientist. And he isn’t the only dishonest scientist.
So is Stephen C. Meyer (a geophysicist), one of the front man for Intelligent Design. Meyer together with the theologian Phillip E. Johnson (no science qualifications whatsoever) were responsible for creating Intelligent Design. They were responsible for recruiting Behe into their rank, and Behe was supposed to be their big gun, during the civil court case in Kitzmiller v. Dover Area School District (2005).
Behe bringing up IC with Intelligent Design, only made matters worse for Behe himself, since it demonstrated his IC was just as pseudoscience as ID was pseudoscience.