This seems to be a common response - Tyrrell_McAllister said something similar:
I think that your distinction is really just the distinction between physics and mathematics.
I take that distinction as meaning that a precise maths statement isn't necessarily reflecting reality like physics does. That is not really my point.
For one thing, my point is about any applied maths, regardless of domain. That maths could be used in physics, biology, economics, engineering, computer science, or even the humanities.
But more importantly, my point concerns what you think the equations are about, and how you can be mistaken about that, even in physics.
The following might help clarify.
A successful test of a mathematical theory against reality means that it accurately describes some aspect of reality. But a successful test doesn't necessarily mean it accurately describes what you think it does.
People successfully tested the epicycles theory's predictions about the movement of the planets and the stars. They tended to think that this showed that the planets and stars were carried around on the specified configuration of rotating circles, but all it actually showed was that the points of light in the sky followed the paths the theory predicted.
They were committing a mind projection 'fallacy' - their eyes were looking at points of light but they were 'seeing' planets and stars embedded in spheres.
The way people interpreted those successful predictions made it very hard to criticise the epicycles theory.




Even if we had personally witnessed them, that wouldn't, in itself, be any reason to assume that they are representative of things in general. The representativeness of any data is always something that can be critically assessed.