  We examine several issues pertaining to statistical predictivity of the
string theory landscape for weak scale supersymmetry (SUSY). We work within a
predictive landscape wherein super-renormalizable terms scan while
renormalizable terms do not. We require stringy naturalness wherein the
likelihood of values for observables is proportional to their frequency within
a fertile patch of landscape including the MSSM as low energy effective theory
with a pocket-universe value for the weak scale nearby to its measured value in
our universe. In the string theory landscape, it is reasonable that the soft
terms enjoy a statistical power-law draw to large values, subject to the
existence of atoms as we know them (atomic principle). We argue that gaugino
masses, scalar masses and trilinear soft terms should each scan independently.
In addition, the various scalars should scan independently of each other unless
protected by some symmetry. The expected non-universality of scalar masses--
once regarded as an undesirable feature-- emerges as an asset within the
context of the string landscape picture. In models such as heterotic
compactifications on Calabi-Yau manifolds, where the tree-level gauge kinetic
function depends only on the dilaton, then gaugino masses may scale mildly,
while scalar masses and A-terms, which depend on all the moduli, may scale much
more strongly leading to a landscape solution to the SUSY flavor and CP
problems in spite of non-diagonal K\"ahler metrics. We present numerical
results for Higgs and sparticle mass predictions from the landscape within the
generalized mirage mediation SUSY model and discuss resulting consequences for
LHC SUSY and WIMP dark matter searches.
