In this paper, I attempt to describe the implications of dynamical app
roaches to science for research in the experimental study of behavior.
I discuss the differences between classical and dynamical science, an
d focus on how dynamical science might see replication differently fro
m classical science. Focusing on replication specifically, I present s
ome problems that the classical approach has in dealing with dynamics
and multiple causation. I ask about the status and meaning of ''error'
' variance, and whether it may be a potent source of information. I sh
ow how a dynamical approach can handle the sort of control by past eve
nts that is hard for classical science to understand. These concerns r
equire, I believe, an approach to variability that is quite different
from the one most researchers currently employ. I suggest that some of
these problems can be overcome by a notion of ''behavioral state,'' w
hich is a distillation of an organism's history.