Bias Correction

Bias correction refers to techniques used to adjust data or predictions to account for systematic errors or biases that might misrepresent reality. In various fields—like statistics, machine learning, or research—bias can arise from flawed methods, sampling errors, or subjective judgments. By applying bias correction, we refine our results to achieve a more accurate reflection of true values or trends. This process improves the reliability of conclusions drawn from data, ensuring that decisions based on these findings are informed and effective. Essentially, it's about making sure we're getting the most truthful information possible from our data sources.