Systematic errors are consistent, repeatable mistakes that occur in measurements or observations. Unlike random errors, which vary unpredictably, systematic errors arise from flaws in the measurement system, such as faulty equipment, incorrect calibration, or biased data collection methods. These errors can lead to inaccurate results that skew the overall findings. To minimize systematic errors, researchers often implement calibration procedures and use standardized methods. For example, in scientific experiments, ensuring that instruments like thermometers or scales are properly calibrated can help reduce these errors. Identifying and correcting systematic errors is crucial for improving the reliability of data in fields like physics and engineering.