2. What are two negative (bad) consequences of overlishing?

Overlishing, or overloading a system with excessive data or information, can have several negative consequences. Here are two of them:<br /><br />1. **System Performance Degradation**: Overlishing can lead to a significant slowdown in system performance. When a system is overloaded with too much data, it struggles to process and manage the information efficiently. This can result in longer response times, increased latency, and decreased overall system efficiency. As a result, users may experience delays in accessing information or completing tasks, leading to frustration and decreased productivity.<br /><br />2. **Data Integrity Issues**: Overlishing can also compromise data integrity. When a system is overloaded with excessive data, it may become difficult to ensure that all data is accurately processed and stored. This can lead to errors, inconsistencies, and inaccuracies in the data. Additionally, overlishing can increase the risk of data corruption or loss, as the system may struggle to handle the volume of data and may not be able to perform necessary error-checking and data validation processes effectively.<br /><br />In summary, overlishing can negatively impact system performance and data integrity, leading to inefficiencies, delays, and potential errors in data processing and storage.