  Standard probability theory has been extremely successful but there are some
conceptually possible scenarios, such as fair infinite lotteries, that it does
not model well. For this reason alternative probability theories have been
formulated. We look at three of these: Popper functions, a specific kind of
non-Archimedean probability functions, and lexicographic probability functions.
We relate Popper functions to non-Archimedean probability functions (of a
specific kind) by means of a representation theorem: every non-Archimedean
probability function is infinitesimally close to some Popper function, and vice
versa. We also show that non-Archimedean probability functions can be given a
lexicographic representation. Thus Popper functions, a specific kind of
non-Archimedean probability functions, and lexicographic probability functions
triangulate to the same place: they are in a good sense interchangeable.
