Before revision:  As unpredictability is intrinsic, not due to incomplete or wrong data, our study advocates for a scenario of probabilistic forecasting .
After revision:  As unpredictability is intrinsic, not due to wrong or incomplete data, since it persists in error-free, synthetically produced data sets, and does not necessarily improve by using larger data sets. Our study warns against precise forecasts of the evolution of epidemics based on mean-field, effective or phenomenological models, and supports that only probabilities of different outcomes can be confidently given .