The article presents a new method for accurately estimating the average value of a large set of data points, even when some of the data is corrupted. By using a special mathematical approach, the researchers developed an algorithm that can find the most reliable estimate of the average, outperforming other existing methods. This algorithm has been tested on both artificial and real data, showing promising results.