Random models are very hard to analyze, so people rely on using very basic models - a good example is random graphs, where there is still a lot of research on t

Random models are very hard to analyze, so people rely on using very basic models - a good example is random graphs, where there is still a lot of research on the very basic Erdos-Renyi model, even if basically everybody is aware of its shortcomings regarding an accurate portrayal of real-world data (none). But it's a model where it's possible to get some good bounds for many problems, basically the only such model, so it's good for papers. But how those "scientists" deduce things on the real-world based on these simplistic models is utterly unjustifiable. In many cases, we know that some statistical properties show the models are inadequate, yet they still dare to write their BS about how "the internet" or "social networks" work based on such trivial models... (and the media disseminates these idiocies, like Ted and Wired...). Sad!