Times series obtained from dynamical systems can be converted into seq
uences of time intervals between relevant events. We show that under q
uite general conditions time intervals are phase space observables and
therefore embedding theorems for the reconstruction of a state space
from scalar signals are valid. The practical applicability in data ana
lysis is discussed with the help of numerical and experimental example
s.