Despite strong objections from many scientists since the time of its conception, the Probability theory has been able to maintain its precarious but dominant existence for three centuries simply because no one could pinpoint its logical weaknesses; but this may soon change. Building on recent advances in computing science and complexity theory, Dr. Tran was able to identify a fatal loophole in the probabilistic proof for the Law of Large Number. With the discovery that the principle of symmetry is a much more complete explanation for the Law of Large Number, suddenly it becomes clear that time may finally be over for the Probability theory. Not just an alternative explanation for existing phenomena, this book introduces the fully testable Distribution theory, with conclusive empirical results to show why Symmetry, not Probability, is the underlying principle of the so-called random processes of science and life. An intellectually challenging and revolutionary thesis delivered in a style accessible to the layman, with a special chapter i.e. "Gambler's wisdom beyond probability" dedicated to the games of chance, "Symmetry and the End of Probability" is a must-read for everyone.