Estimated “house effects” (biases of pre-election surveys from different pollsters) and here’s why you have to be careful not to overinterpret them — Andrew Gelman

I am refraining from posting on political matters during the heat of the election. 

But here is some statistical analysis of polls that is interesting from the point of view of signal to noise ratio. Polling is inherently rather noisy.

Statistical Modeling, Causal Inference, and Social Science
Estimated “house effects” (biases of pre-election surveys from different pollsters) and here’s why you have to be careful not to overinterpret them
Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University