Some history of finite population sampling will be given beginning with Neyman (1934). Current practice will be developed by contrasting it with the data poor world prior to, say, the 1990s. New ideas and opportunities will be covered, some by an appeal to theory, some by looking at simulations. Despite its matruity finite population sampling is ripe for explosive new ideas, for instance in the use of balanced samples.Two examples will be given.