Working with never-published agricultural data collected for Mexico’s pavilion at the 1900 Paris Exposition, this article argues that manuscript and published statistics represent a space to see state making as a multisided, ongoing process. Whereas historians have largely looked at statistics from the perspective of the state, highlighting bureaucrats’ projections of desired realities and political projects, here I show how local enumerators’ investment in statistical undertakings asserted space for conversations and arguments about the nature and composition of the political or economic whole being represented. I present a methodology for working with historical statistics that takes aberrations, anomalies, and unruly data as signposts to be followed rather than errors to be corrected. In doing so, I argue for seeing not only the frustrated yet durable aspirations of statesmen but also the ways those beyond the central state reforged, reinforced, and remade representations of their homes through engagement with and investment in statistical practices.

Dropout has been identified as a significant problem among military populations seeking psychotherapy (Goetter et al., 2015; Hoge et al., 2014), yet an overall estimate of its exact prevalence and predictors does not exist. The aims of the current meta-analysis were to estimate outpatient psychotherapy dropout rates for this population and evaluate potential moderators of this event. In total, 283 articles—comprising data from 719,465 U.S. service members and veterans—met all inclusion criteria and were included in the meta-analysis. The average weighted dropout rate for all outpatient therapies was 25.6%, 95% CI [22.4%, 29.2%], and prediction interval [1.9%, 85.9%]. Furthermore, dropout was 27.0% for cognitive behavioral therapies (CBTs), 25.3% for trauma treatments, 27.6% for the Department of Veterans Affairs (VA), 28.9% for individual therapies, and 9.8% for intensive outpatient settings. Findings from metaregression analyses using mixed-effects models indicated that higher dropout was linked with the following after accounting for other moderators: younger age, CBTs, nonmanualized approaches, VA versus Department of Defense settings, individual versus group therapies, and weekly versus intensive outpatient formats. Dropout was not linked with other client, therapist, treatment, and research variables. Taken together, dropout estimates were obtained for a range of military populations and treatment characteristics, including theoretical orientation, presenting concern, setting, and therapy formats. These estimates may provide potential benchmarks for therapists, administrators, and policymakers serving military populations. Leveraging dropout prevention strategies with at-risk groups highlighted in this study may enhance mental health care outcomes for this high-need population.