Variance reduction is a way of making predictions more accurate. It takes data points (like numbers or words) and finds patterns in them that can help predict what might happen in the future. For example, if we track the amount of rainfall over the past few weeks, we can find patterns in that data that can help us better predict how much rain might fall in the next week. In other words, variance reduction can help us make more accurate forecasts.