The Newton polytope
P
f
P_f
of a polynomial
f
f
is well known to have a strong impact on its behavior. The Bernstein-Kouchnirenko Theorem asserts that even the number of simultaneous zeros in
(
C
∗
)
m
(\mathbb {C}^*)^m
of a system of
m
m
polynomials depends on their Newton polytopes. In this article, we show that Newton polytopes also have a strong impact on the distribution of zeros and pointwise norms of polynomials, the basic theme being that Newton polytopes determine allowed and forbidden regions in
(
C
∗
)
m
(\mathbb {C}^*)^m
for these distributions. Our results are statistical and asymptotic in the degree of the polynomials. We equip the space of polynomials of degree
≤
p
\leq p
in
m
m
complex variables with its usual SU
(
m
+
1
)
(m+1)
-invariant Gaussian probability measure and then consider the conditional measure induced on the subspace of polynomials with fixed Newton polytope
P
P
. We then determine the asymptotics of the conditional expectation
E
|
N
P
(
Z
f
1
,
…
,
f
k
)
\mathbf {E}_{|N P}(Z_{f_1, \dots , f_k})
of simultaneous zeros of
k
k
polynomials with Newton polytope
N
P
NP
as
N
→
∞
N \to \infty
. When
P
=
Σ
P = \Sigma
, the unit simplex, it is clear that the expected zero distributions
E
|
N
Σ
(
Z
f
1
,
…
,
f
k
)
\mathbf {E}_{|N\Sigma }(Z_{f_1, \dots , f_k})
are uniform relative to the Fubini-Study form. For a convex polytope
P
⊂
p
Σ
P\subset p\Sigma
, we show that there is an allowed region on which
N
−
k
E
|
N
P
(
Z
f
1
,
…
,
f
k
)
N^{-k}\mathbf {E}_{|N P}(Z_{f_1, \dots , f_k})
is asymptotically uniform as the scaling factor
N
→
∞
N\to \infty
. However, the zeros have an exotic distribution in the complementary forbidden region and when
k
=
m
k = m
(the case of the Bernstein-Kouchnirenko Theorem), the expected percentage of simultaneous zeros in the forbidden region approaches 0 as
N
→
∞
N\to \infty
.