  We present high statistics Monte Carlo results for the Drossel-Schwabl forest
fire model in 2 dimensions. They extend to much larger lattices (up to
$65536\times 65536$) than previous simulations and reach much closer to the
critical point (up to $\theta \equiv p/f = 256000$). They are incompatible with
all previous conjectures for the (extrapolated) critical behaviour, although
they in general agree well with previous simulations wherever they can be
directly compared. Instead, they suggest that scaling laws observed in previous
simulations are spurious, and that the density $\rho$ of trees in the critical
state was grossly underestimated. While previous simulations gave $\rho\approx
0.408$, we conjecture that $\rho$ actually is equal to the critical threshold
$p_c = 0.592...$ for site percolation in $d=2$. This is however still far from
the densities reachable with present day computers, and we estimate that we
would need many orders of magnitude higher CPU times and storage capacities to
reach the true critical behaviour -- which might or might not be that of
ordinary percolation.
