Before revision:  A Bayesian fit to the on-going COVID-19 pandemic in Spain shows that we can infer neither its peaking time nor whether there is a peak at all. The dispersion of possible trajectories grows extremely fast , yielding a short horizon for reliable prediction.
After revision:  A Bayesian fit to the on-going COVID-19 pandemic in Spain shows that a slow-down in the number of newly infected individuals during the expansion phase allows to infer neither the precise position of the maximum nor whether the measures taken will bring the propagation to the inhibition regime. There is a short horizon for reliable prediction, followed by a dispersion of the possible trajectories that grows extremely fast , yielding a short horizon for reliable prediction.