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It is correct to say that Falsifiability is a scientific demarcation for testing models, hypotheses and theories, in order to verify whether the predictions that such models make are correct (true) or wrong (falsified).

Yes, you are correct. Falsifiability is a scientific demarcation criterion that is used to test models, hypotheses, and theories. It refers to the ability to potentially prove them false or incorrect through empirical observations or experiments. According to the philosopher of science Karl Popper, for a hypothesis or scientific theory to be considered scientific, it must be possible to subject it to empirical testing that could potentially falsify or disprove it. In other words, a scientific claim should make predictions that can be tested and potentially proven wrong. If the predictions are consistently supported by empirical evidence, it lends support to the hypothesis or theory, but if the predictions are falsified, it indicates that the hypothesis or theory is incorrect or incomplete. Falsifiability is an important principle in the scientific method.

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