Human beings are prediction machines. Successful humans skate to where the puck is going to be, predict what's going to happen next, have an inkling of what's to come.
We do this by creating models. A really good model is a theory, a testable method for asserting what's going to happen next under certain conditions–and being right.
The pundits have models, of course. In writing about this one, the Times admits that they've been consistently wrong–in both directions–with their predictions. But rather than acknowledging that they have a broken model, they persist.
The thing is, when your model doesn't match reality (when you have trouble predicting how your investments will do, whether a sales call will resonate, whether a presentation will work, whether a new hire will work out) it's tempting to blame reality.
Consider that it might be much more effective to get a better model instead.