Along with academic distinctions and numerous contributions to statistics, Neyman made four fundamental breakthroughs for which he is remembered. Each of them would have been sufficient to establish an international reputation, both for their immediate effect and for the impetus which the new ideas and methods gave to the way the subject was thought about. He produced the theory of confidence intervals; he contributed to the theory of contagious distributions (still fundamental to the interpretation of biological data); his work on stratified sampling  opened up a statistical theory which, among other things, gave us the Gallup Poll; his work, and that of Fisher, each with a different model for randomised experiments, led to the whole new field of experimentation so much used in agriculture, biology, medicine, and physical sciences. It is worth noting that, although Fisher inspired much of Neyman's work, relations between them broke down once they started working together in the same building.