  A large fraction of the anticipated source detections by the Gamma-ray Large
Area Space Telescope (GLAST-LAT) will initially be unidentified. We argue that
traditional approaches to identify individuals and/or populations of gamma ray
sources will encounter procedural limitations. Those limitations are discussed
on the background of source identifications from EGRET observations. Generally,
our ability to classify (faint) source populations in the anticipated GLAST
dataset with the required degree of statistical confidence will be hampered by
sheer source wealth. A new paradigm for achieving the classification of gamma
ray source populations is discussed.
