Empirical Probability Theorem , The Undoing of Entropy and the Undoing of the second law of thermodynamics.

Empirical Probability theorem:   Empirical Probability Disproves The Second Law Of Thermodynamics And Also Demonstrates That Entropy Is A Temporary Condition  And Not A Final End Point of System Energy Nor Dispersal.   The proof is actually very simple:  Empirical Probability makes predictability of systems discernible  in advance where as Entropy is unpredictable and wanting. 

One example is a simulating random number generator.  Of course there is nothing random about random numbers generated by a generator because to be truly random they have to pass the test of randomness.  It is uncertain that random numbers actually exist in nature outside of our human capacity to facilitate them?  Simulated probability differs from Empirical probability because Simulated probability is designed to have an element of entropy in involved where as empirical probability as discerned in nature lends itself to vast potential predictability based on conditional probabilities of multiple variables. When this is simulated with artificial probability in a computer or a slot machine the simulation emphasizes a lack of predictability otherwise every player would win the game.

Empirical probability gives us the ability to  make very good predictions on a lot of things before they happen.  If Entropy was where everything was bound to go then our ability to predict probabilities would be impossible.  It requires no complicated proof  except to say we would not be able to predict the weather , the motion of stars and galaxies if entropy was a real phenomenon.

Striking out the second law of thermodynamics or modifying it we also need to add a third or forth law of thermodynamics that gravity is a property of thermodynamics.  That is a different story found on my other sites including Gravity is Hot and The New Laws of Physics by Lex Loeb.