You can rule out probability distributions and rank them by explanatory power even without knowing the true distribution; if you observe a 10-sigma event and the Gaussian distribution would assign it probability 10^-100, then the true distribution is ~10^100 times more likely to be non-Gaussian than Gaussian; this approach (Popperian falsification applied to distributions) is more powerful than trying to estimate the distribution directly.