Additionally, there is the bogus idea that a revised theory should still be considered a theory. Instead a revised theory is now no more than a hypothesis, requiring fresh predictions (to be tested against new observation not previous data) and verification and requiring the fresh application of Occam's Razor (since a revised theory is also usually going to have additional complexity to patch up the previous theory).
While I cannot completely disagree with your argument, theories are just that, a working hypothesis. We have a model that describes everything that happens in the universe around us. We call this model a theory. It does an amazing job predicting 99.999% of everything we see. Then someone makes a discovery that contradicts some of the assumptions and outcomes of the theory. We go back, look at the physics, and adjust/revise, the theory so it can explain all of the observations. Its not that the theory is broken or is wrong, it could not describe EVERYTHING. Every theory must explain existing data as a start and then make predictions about the data we will take in the future. A great way to test a theory is to see if it can model existing data. The data don't change because you changed your theory but if you need to make a new prediction then you need new data to test that piece. A good example of this is Newton's Laws of Gravity. NO ONE can argue that gravity exists and that Newton's Laws work for almost everything. Well they didn't work for Mercury's orbit. When they compared the predictions of Mercury's orbit from Newton's Laws, they found that the model was off by 43 arcseconds every centrury. Does that mean Newton's laws don't work here on Earth? No, it means we needed a new model of how gravity worked in more extreme situations. This is where Einstein's Theory of General Relativity comes in. It explained the precession right away and we have used Relativity since then to explain motions around black holes and other extreme objects. Newton's Laws still work perfectly fine with in the errors of measurement for everything else.
Math is like love -- a simple idea but it can get complicated. -- R. Drabek