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tokens: We gratefully acknowledge everyone involved in the Gaia and Kepler missions for their tireless efforts that have made this paper possible. We also thank the reviewer for helpful feedback that improved this paper, and Erik Petigura and BJ Fulton for helpful discussions. T.A.B. and D.H. thank Savita Mathur for providing supplementary material for the DR25 stellar properties catalog. T.A.B. and D.H. acknowledge support by the National Science Foundation (AST-1717000) and the National Aeronautics and Space Administration under Grants NNX14AB92G issued through the Kepler Participating Scientist Program. This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This research has made use of NASA’s Astrophysics Data System. This research was made possible through the use of the AAVSO Photometric All-Sky Survey (APASS), funded by the Robert Martin Ayers Sciences Fund. This research made use of the crossmatch service provided by CDS, Strasbourg. This research has made use of the NASA Exoplanet Archive, which is operated by the California Institute of Technology, under contract with the National Aeronautics and Space Administration under the Exoplanet Exploration Program. Software : astropy (Astropy Collaboration et al. 2013 ), dustmaps (Green et al. 2018 ), GNU Parallel (Tange 2018 ), isoclassify (Huber et al. 2017 ), Matplotlib (Hunter 2007 ), mwdust (Bovy et al. 2016 ), Pandas (McKinney 2010 ), SciPy (Jones et al. 2001 ).