Benford's Law and the Universe
  Benford's law predicts the occurrence of the $n^{\mathrm{th}}$ digit of
numbers in datasets originating from various sources of the world, ranging from
financial data to atomic spectra. It is intriguing that although many features
of Benford's law have been proven and analysed, it is still not fully
mathematically understood. In this paper we investigate the distances of
galaxies and stars by comparing the first, second and third significant digit
probabilities with Benford's predictions. It is found that the distances of
galaxies follow reasonably well the first digit law and the star distances
agree very well with the first, second and third significant digit.
