The article suggests a better way to estimate population variance in a systematic sampling method by using additional information. They propose a new method called the Searls estimator, which improves accuracy by considering known auxiliary parameters. By comparing different estimators, they found that the Searls estimator with optimal values gives the most reliable results. This was confirmed using real data from a district in India. The new estimator is preferred for accurately estimating population variance in systematic random sampling.