While simplification is beneficial, over-simplification can lead to:
Loss of Detail: Important nuances and details may be lost, potentially leading to misinterpretation. Misleading Conclusions: Oversimplified data can sometimes lead to incorrect or oversimplified conclusions. Ethical Concerns: Over-simplifying data related to sensitive topics, such as disease outbreaks, can lead to ethical issues and public mistrust.
