Random errors are unpredictable variations that occur in measurements or observations. They can arise from various sources, such as environmental changes, instrument limitations, or human factors. These errors can cause the results to fluctuate, making it difficult to achieve consistent outcomes. Unlike systematic errors, which are consistent and repeatable, random errors are inherently irregular. They can be minimized by taking multiple measurements and averaging the results. This approach helps to reduce the impact of these errors, leading to more reliable data in scientific experiments and other fields, such as statistics and engineering.