Is accuracy lost when you reduce the level of abstraction?

Some people claim that "when you reduce the level of abstraction, you lose accuracy," but that's a low-resolution perception. - All models are wrong. - Abstract descriptions of real events have less information from actual real events. - So accuracy is decreasing. - Increasing abstraction decreases accuracy.

• On the other hand, mathematical concepts are abstract in nature.
  • To illustrate with a concrete example, the "generality" that the original model had is lost.
    • The characteristic that a model can explain the behavior of a wide range of objects.
  • That's because more information leads to more restrictions.
• Some people confuse these two phenomena, even though they are two different things.

2019-05-15 First published. Linked from Landing abstract concepts on concrete facts by AI on 2023-09-08

• supplemented by AI's incorrect understanding.

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