This surprising property provides a perspective on criticality in terms of universal relations, suggesting that we could model criticality using simple and non-specific mechanisms independently of the individual parameters of the system. Our hypothesis is the following: if all systems belonging to the same universality class present the same distribution of correlations at criticality, adjusting an arbitrary system to reproduce the same distribution of correlations might drive the system to a similar critical point. If, as we have said, in the neighborhood of critical points, critical exponents assume the same universal values for a particular class, it could be enough to use in our analysis a very simple (but nontrivial) model. Looking for generality, we use the least structured statistical model (i.e. a maximum entropy model) of a network of interacting units, constrained only by pairwise correlations between them. This is known as the Ising model in physics or the Boltzmann Machine in computer science18. The interest of using it is that it is also one of the simplest models of criticality that that can be solved analytically19.