Consider the boundary case in a one-dimensional super-critical branching random walk. It is known that upon the survival of
the system, the minimal position after n steps behaves in probability like
log n when n → ∞. We give a simple and self-contained proof of this result, based exclusively on elementary properties of sums of i.i.d.
real-valued random variables.