  The number of potentially habitable planets continues to increase, but we
lack the time and resources to characterize all of them. With $\sim$30 known
potentially habitable planets and an ever-growing number of candidate and
confirmed planets, a robust statistical framework for prioritizing
characterization of these planets is desirable. Using the $\sim$2 Gy it took
life on Earth to make a detectable impact on the atmosphere as a benchmark, we
use a Bayesian statistical method to determine the probability that a given
radius around a star has been continuously habitable for 2 Gy. We perform this
analysis on 9 potentially habitable exoplanets with planetary radii $<$1.8
R$_\oplus$ and/or planetary masses $<$10 M$_\oplus$ around 9 low-mass host
stars ($\sim$0.5-1.1 M$_\odot$) with measured stellar mass and metallicity, as
well as Venus, Earth, and Mars. Ages for the host stars are generated by the
analysis. The technique is also used to provide age estimates for 2768 low-mass
stars (0.5-1.3 M$_\odot$) in the TESS Continuous Viewing Zones.
