Jacob Eisenstein at MIT has developed an smart election predictor for the US Senate Elections using a Kalman Filter. The filter helps to decide how much extra weight to attach to more recent polls. Check it out here; he also has some details on the method here. Read more about Predicting Elections
In a previous post about the Gerber & Malhotra paper about publication bias in political science, I rather optimistically opined that the findings -- that there were more significant results than would be predicted by chance, and that many of those were suspiciously close to 0.05 -- were probably not deeply worrisome, at least for those fields in which experimenters could vary the number of subjects run based on the significance level achieved thus far. Read more about More thoughts on publication bias and p-values
Newcomb’s paradox is a classic problem in philosophy and also an entertaining puzzle to consider. Here is one version of the paradox. Suppose you are presented with two boxes, A and B. You are allowed to take just box A, just box B, or both A and B. There will always be $1000 in box A, and there will either be $0 or $1,000,000 in box B. Read more about Newcomb's Paradox: Reversing Causality?
Here’s an interesting piece that should help you keep your New Semester resolutions by understanding procrastination better. Sendhil Mullainathan recently used research by Dan Ariely and Klaus Wertenbroch as motivation for his undergraduate psychology and economics class. Though it’s not exactly statistics, it seems the insights could be useful for grad students and their advisors. Read more about Procrastination