Unit root tests are used to check if differences in a time series are independent of its levels. This study shows that for some tests, it's important to assume that the differences have stationary roots. Likelihood-based tests are better for time series with nearly violated stationary roots, while other tests should be used cautiously. If explosive roots are present, most statistical analysis remains valid and should not be disregarded.