Systematic error refers to consistent, repeatable inaccuracies 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 produce 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. For example, if a thermometer is consistently reading 2 degrees higher than the actual temperature, all measurements taken with that thermometer will be systematically skewed. Addressing these errors ensures more reliable results in scientific research and other fields.