The sample variance can be inaccurate when data is related. Researchers looked at using multiple variances calculated from every kth data point to reduce bias. This method can make the variance more accurate, sometimes completely removing bias. The choice of k doesn't affect the accuracy much in the long run. For most cases, using the regular sample variance is still a good option because it's simpler to calculate.