 Nor is it plausible that humans obey all the theorems of the probability calculus—we are incoherent in all sorts of ways. The last couple of decades have also seen research on degrees of incoherence—measuring the extent of departures from obedience to the probability calculus—including Zynda (1996), Schervish, Seidenfeld and Kadane (2003), and De Bona and Staffel (2017, 2018). Lin (2013) sees traditional epistemology’s notion of belief as appropriate for humans who fall short of the Bayesian ideal, but who nevertheless may obey various doxastic norms that can be given Bayesian endorsement. He models everyday practical reasoning, with qualitative beliefs and desires, providing a qualitative decision theory and representation theorem. Easwaran (2016) takes humans to genuinely have all-or-nothing beliefs, but offers an instrumentalist justification for representing those beliefs with probabilities. 