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Introduction: Instrumentation has been used inconsistently in studies of “ghostly episodes“ (Houran & Lange, 1998; Dagnall et al., 2020). Moreover, big data analytics are likely needed to describe the important interactions among attitudinal, normative, and environmental variables that likely mediate percipients’ reports. The growth of social, mobile, cloud and multi-media computing can now support robust “citizen science” campaigns. Accordingly, we developed MESA 3.0 ― an android application that conducts site-specific mapping. This “app” is the next-gen version of early MESA systems (Harte et al., 1999; Houran et al., 1998) and was designed to document and quantify anomalous experiences in real-time for cross-correlation with time-synced environmental readings.