  In this paper, we explore how we should aggregate the degrees of belief of of
a group of agents to give a single coherent set of degrees of belief, when at
least some of those agents might be probabilistically incoherent. There are a
number of way of aggregating degrees of belief, and there are a number of ways
of fixing incoherent degrees of belief. When we have picked one of each, should
we aggregate first and then fix, or fix first and then aggregate? Or should we
try to do both at once? And when do these different procedures agree with one
another? In this paper, we focus particularly on the final question.
