Periods in history of statistics The history of many fields of science can be divided into a small number of time intervals that often begin with some important discovery.
But I have never seen something similar in timeline of statistics.
Obviously, there are some important dates that can be considered as starting points of a new period (Pascal+Fermat, Bayes, Pearson, Tukey,..).
Can we at least very roughly divide history of statistics into small number of periods?
Note that the only similar question to this is related to only famous statisticians, not to periods in history.
 A: I think that "periods" in history are closely related to people and their developments. Of course one can expect "waves" in Toffler's sense, but even those waves are related to persons. 
Anyway, wikipedia has an article in this regard. 
A: These recent papers by Stigler, where he argues (convincingly I believe) for the types of periods you seem to have in mind. 

Stigler, Stephen M. 2010. Darwin, Galton and the statistical
  enlightenment. Journal of the Royal Statistical Society: Series A
173(3):469-482.
Stigler, Stephen M. 2012. Studies in the history of probability and
  statistics, L: Karl Pearson and the Rule of Three. Biometrika 99(1):
  1-14.

A: According to the webpage titled "Materials for the History of Statistics" by the Department of Mathematics at the University of York, a major text on this subject is:
Oscar Sheynin, Theory of Probability: A Historical Essay (published by NG Verlag 2005, ISBN 3-938417-15-3)
The book is packed full of names, dates, ideas, and references. It's probably a good contender for what you're looking for.
In the Preface to the book, the author tells us that:

The book is intended for those interested in the history of
  mathematics or statistics and more or less acquainted with the latter.
  It will also be useful for statisticians.

He then goes on to give a short outline of the book:

I describe the origin of the notions of randomness and subjective or
  logical probability in antiquity, discuss how laymen comprehended the
  main notions of the theory of probability, dwell on the birth of
  political arithmetic and study the history of the theory proper. I
  also trace the development of statistics and its penetration into
  natural sciences as well as the history of the mathematical treatment
  of observations (Ptolemy, Al-Biruni, Kepler, the classical error
  theory). I stop at the axiomatization of probability and at the birth
  of the real mathematical statistics, i.e., at Kolmogorov and Fisher.

The author appears to be active at making revisions to the book, so it would be worth visiting his website to see the latest available version of the book and his other related publications.
