On the greedy algorithm for satisfiability

We show that for the vast majority of satisfiable 3CNF formulae, the local search heuristic that starts at a random truth assignment and repeatedly flips the variable that improves the number of satisfied clauses the most, almost always succeeds in discovering a satisfying truth assignment.