  The Cold Dark Matter (CDM) model has an elegant simplicitly which makes it
very predictive, but when its parameters are fixed at their `canonical' values
its predictions are in conflict with observational data. There is, however,
much leeway in the initial conditions within the CDM framework. We advocate a
re-examination of the CDM model, taking into account modest variation of
parameters from their canonical values. We find that CDM models with
$n=0.8$--0.9 and $h=0.45$--0.50 can fit the available data. Our ``best fit''
CDM model has $n=0.9$, $h=0.45$ and $C_2^{T}/C_2^{S}=0.7$. We discuss the
current state of observations which could definitely rule out this model.
