  We discuss random interpolation in weighted Dirichlet spaces
$\mathcal{D}_\alpha$, $0\leq \alpha\leq 1$. While conditions for deterministic
interpolation in these spaces depend on capacities which are very hard to
estimate in general, we show that random interpolation is driven by
surprisingly simple distribution conditions. As a consequence, we obtain a
breakpoint at $\alpha=1/2$ in the behavior of these random interpolating
sequences showing more precisely that almost sure interpolating sequences for
$\mathcal{D}_\alpha$ are exactly the almost sure separated sequences when $0\le
\alpha<1/2$ (which includes the Hardy space $H^2=\mathcal{D}_0$), and they are
exactly the almost sure zero sequences for $\mathcal{D}_\alpha$ when $1/2 \leq
\alpha\le 1$ (which includes the classical Dirichlet space
$\mathcal{D}=\mathcal{D}_1$).
