We consider random graph models in which the events describing the inclusion of potential edges have to be independent of each other if the corresponding edges are non‐adjacent and ask: what is the minimum probability , such that for any distribution (in this model) on graphs with vertices in which each potential edge has a marginal probability of being present at least , a graph drawn from is connected with non‐zero probability? The answer to this question is sensitive to the formalization of the independence condition. We introduce a strict hierarchy of five conditions, which give rise to at least three different functions . For each condition, we provide upper and lower bounds for . For the strongest condition, the coloring model, we show that for . In contrast, for the weakest condition, pairwise independence, we show that lies within of the threshold for completely arbitrary distributions.