  Towards the end of the last century, B. Mandelbrot saw the importance,
revealed the beauty, and robustly promoted (multi-)fractals. Multiplicative
cascades are closely related and provide simple models for the study of
turbulence and chaos.
  For pedagogical reasons, but also due to technical difficulties, continuous
stochastic models have been favoured over discrete cascades. Particularly
important are the $\alpha$ and the $p$ model. It is the aim of this
contribution to introduce original concepts that shed new light on a variant of
the latter paradigmatic cascade and allow key features to be derived in a
rather elementary fashion.
  To this end, we introduce and study a discrete version of the $p$ model which
is based on a new kind of sampling. Technical machinery can be kept simple,
therefore proofs are straightforward and formulas are explicit. It is hoped
that the proposed line of investigation may enhance understanding and simplify
received multifractal analyses.
