Running head: WAS THE POPE TO BLAME? - ONLINE APPENDICES 1 ONLINE APPENDICES Was the Pope to blame? Statistical powerlessness and the predictive policing of micro-scale randomized control trials Ralph B. Taylor & Jerry H. Ratcliffe Department of Criminal Justice Center for Security and Crime Science Temple University Online at: www.rbtaylor.net/supplemental/pub_cpp_2020_app.pdf APPENDIX A: Power estimation, approaches, and parameter choices This section outlines the exact combination of power estimation levels and parameter choices that might help some readers understand the rest of the article. It also provides some more technical background on statistical power. Of course, these issues are well explained elsewhere. Cohen (1988) provides the standard introduction and Hinkle et al. (2013), as described in the main article, consider power issues in the context of hot spots policing experiments with low base rates for the outcome indicators. Next, more information is provided on the two different ways that power was calculated here. The standard approach (using a Stata routine called pc_twoproportions) used only mean proportions and did not interrogate the actual data. This contrasts with the second approach that relied on a program called pc_simulate, part of a Stata add-on package called pcpanel created by Louis Preonas. This module relied on