WereKitten said:
In your terms: 1 If hypothesis A is true, B will be observed. 2 B is observed. therefore 3 A is currently compatible with observations, ie currently not falsified if NOT(B) were positively observed (maybe at a past point in time with better experimental apparata) then strict logic would imply NOT(B)-> NOT(A) and A would be a falsified hypothesis Obviously, you can make up a lot of theories that are hardly falsifiable, but they are simply not good scientific theories: a good theory should both 1) have explainative/predictive power 2) be falsifiable. String theory seems to have a lot of (1), because it seems to explain mathematically a lot of what emerges in several other more mundane physics theory. And yet it has, currently, basically zero in the way of experimental falsification. That is why most theoretical physics don't consider it a "good" theory notwithstanding all the explaining and semplification it seems to bring. On the other hand special and general relativity or quantum mechanics not only did explain a lot, but have been tested against, literally millions of times in thousands of different experiments over the last century. A scientist will never tell you that they are "true" in an absolute sense, but will rely on the fact that they survived falsification in those thousands of experiments and thus that they are likely to correctly predict the behaviour of the world in real cases similar to those tested. If one day a single experiment will - say - falsify general relativity, then scientists will look for a theory that a) predicts world behaviour at least as well as relativity in the previous N cases b) is compatible with that last (N+1)th result. The method provides a ladder of increasingly accurately predictive theories, not logic absolutes based on faulty induction. Google for Popper. |
Good response. Ideally, if science operated as Popper outlined, I would agree with you. However, science often operates more along the lines of verification rather than falsification. I'm not saying that falsification is not used because it is, but verification is used much more, especially in regards to how experiments are designed as well as conducted.







