In the context of computational learning, the concept of 'probably approximately correct' (PAC) learning provides a framework for understanding the efficiency and feasibility of learning algorithms.
The speech we hear is an indication of that which we don't hear. It is a necessary avoidance, a violent, sly, anguished or mocking smokescreen which keeps the other in its place.