Systematic errors are consistent, repeatable errors that occur in measurements due to flaws in the measurement system. These errors can arise from faulty equipment, incorrect calibration, or biases in the measurement process. Unlike random errors, which vary unpredictably, systematic errors lead to results that are consistently off in the same direction. Identifying and correcting systematic errors is crucial for improving the accuracy of experiments and data collection. Techniques such as regular calibration of instruments and using control samples can help minimize these errors. Understanding systematic errors is essential in fields like science, engineering, and statistics to ensure reliable results.