  It is known that increasing powers of a continuous random variable converge
in distribution to Benford's law as the exponent approaches infinity. The rate
of convergence has been estimated using Fourier analysis, but we present an
elementary method, which is easier to apply and provides a better estimation in
the widely studied case of a uniformly distributed random variable.
