Before revision:  in terms of proportional growth and linear versus square-root growth lawof the mean and standard deviation of market capitalisation as a function of time interval . Estimating the main parameters of the model, the theoretical predictions for the power law exponents of coins and tokens distribution are in remarkable agreement with the empirical estimations, given the simplicity of the model in the face of the complexity and non-stationarity of the crypto-currency world .
After revision:  in terms of proportional growth (Gibrat's law) of the coins and tokens . Estimating the main parameters of the model, the theoretical predictions for the power law exponents of coins and tokens distribution are in remarkable agreement with the empirical estimations, given the simplicity of the model in the face of the complexity and non-stationarity of the crypto-currency world .