  Human bias is capable of changing the analysis of measured data sufficiently
to alter the results of an experiment. It is incumbent upon modern experiments,
especially those investigating quantities considered contentious in the broader
community, to blind their analysis in an effort to minimize bias. The choice of
a blinding model is experiment specific, but should also aim to prevent
accidental release of results before an analysis is finalized. In this paper,
we discuss common threats to an unbiased analysis, as well as common quantities
that can be blinded in different types of nuclear physics experiments. We use
the Muon Scattering Experiment as an example, and detail the blinding scheme
used therein.
