
--Kehlog Albran, The Profit
This nugget of pseudo-philosophy is actually a concise description of statistical forecasting. We search for statistical properties of a time series that are constant in time--levels, trends, seasonal patterns, correlations and autocorrelations, etc. We then predict that those properties will describe the future as well as the present.
--Nils Bohr, Nobel laureate in Physics
This quote serves as a warning of the importance of validating a forecasting model out-of-sample. It's often easy to find a model that fits the past data well--perhaps too well!--but quite another matter to find a model that correctly identifies those patterns in the past data that will continue to hold in the future.
--Yogi Berra