When studying raw data from a time series stochastic process, it is difficult to determine if matters are getting better or worse with time. Statistics gathering the dats about the MLE, minimum chi-square, or mean gradually approach those values as outliers are trimmed and nothing is gained. The skewness parameter is not always revealing.Here the one-dimensional
Smoluchowski model is used to arrange the data as if Brownian movements were affecting the process and thud afford a conclusion.