The researchers found a way to exactly double the sample variance by adjusting a specific estimator and summing it over different time intervals. This adjustment mirrors a similar theoretical decomposition that shows summing the true variance over all intervals gives twice the process variance. They also linked this estimator to another biased estimator that uses a modified version of the original data.