  We show that two dynamical systems exhibiting very different deterministic
behaviours possess very similar stationary distributions when stabilized by a
multiplicative Gaussian white noise. We also discuss practical aspects of
numerically simulating these systems. We show that there exists a noise level
that is optimal in the sense that the interval during which discrete-time
versions of the systems remain physical is maximized. Analytical results are
illustrated by numerical examples.
