I have to look up "stochastic" in the dictionary and don't understand the difference between Bayesian and frequentist statistics, except in the most superficial way, so I'm hardly the target audience for "The Seven Deadly Sins of Contemporary Quantitative Political Analysis."
Still, I enjoyed reading it, not least because it uses the word "bullshit." It's a cri de coeur by a Pennsylvania State University professor against the misuse of statistics by many data-oriented political scientists:
A combination of technological change, methodological drift and a certain degree of intellectual sloth and sloppiness, particularly with respect to philosophy of science, has allowed contemporary quantitative political analysis to accumulate a series of dysfunctional habits that have rendered a great deal of contemporary research more or less scientifically useless.
The author, Philip A. Schrodt, is a member of the tribe and doesn't renounce the field itself:
The cure for this is not to reject quantitative methods - and the cure is most certainly not a postmodernist nihilistic rejection of all systematic method - but rather to return to some fundamentals, and take on some hard problems rather than expecting to advance knowledge solely through the ever-increasing application of fast-twitch muscle fibers to computer mice.



















