What is a common limitation of models?

• A. They may miss details and oversimplify.
• B. They are always fully accurate.
• C. They include every feature of the system.
• D. They cannot be used to visualize phenomena.

Answer: (A)

Models rely on simplifying assumptions to capture what matters most. Because of that simplification, details can be left out or distorted, leading to oversimplification in some cases. This is the common limitation: they’re useful for understanding and predicting behavior within a restricted scope, but they’re not perfect representations of every aspect of the real system. The other statements aren’t correct because models aren’t guaranteed to be fully accurate, they don’t include every feature, and in many cases they’re used precisely to visualize phenomena (even if with some caveats).