<b>Conflict of Interest Disclaimer</b>: Ben B. Blohowiak has no conflict of interest with any financial organization regarding the material discussed herein <BR> ##Overview## Much of the scientific literature regarding natal personality or character astrology as practiced by individuals claiming to be astrologers suffers from methodological issues, such as confounding variables which may be traced to the unreliability of chart interpretations among those claiming to be astrologers, or even the unreliability of one astrologer from one chart interpretation to the next. In essence, extant literature regarding research into astrology and personality may be said to suffer from attempting to make generalized conclusions regarding astrologies (emphasis on the plural) and not regarding a specific and robust astrology proper.<br><br> The methodological challenge of how to test a particular astrology rather than divergent astrologies or quasi-astrologies may be overcome through focusing on a codified system of astrological chart interpretation that generates reliable results (i.e., the same gender-space-time-specific inputs always yielding the same hermeneutic outputs). At the same time, an astrology's reliability alone may be insufficient to merit its empirical investigation to the astrological community or to the general public. For a test of a reliable astrological interpretive system to be worthwhile to those stakeholders, such an interpretive system must also command respect as valid within the greater astrological and perhaps even literary or academic community.<br><br> To that end, the AstroIntelligence system is noteworthy for being both reliably automated and for being shaped by the subject matter expertise of [Dr. Liz Greene](https://openscienceframework.org/project/RTFzC/wiki/LGbio), a popular author, lecturer, and astrologer. Influenced by Jungian and Depth Psychology, she is the co-founder of the Centre for Psychological Astrology in London and also directs the CPA Press. If the Psychological Horoscope Analyses that the Astro*Intelligence program are capable of generating based upon subjects' genders and their times, dates, and locations of birth bear no special relationship to their personalities, then one might expect subjects on average to identify appropriately redacted Psychological Horoscope Analyses that correspond to their natal input criteria at a rate not statistically significantly different from chance (e.g., 1/2 the time upon reading two Analyses, 1/3 the time upon reading three, etc.). <BR> <BR> ##Methods## To ensure validity of subject data provided to Astrodienst, the company that administers the online operation of the AstroIntelligence program, each subject would need to provide to researchers legal identification and a copy of his or her birth certificate that included time of birth. To effectively blind subjects and experimenters alike, each subject would also need to be assigned a number unknown to him or herself as well as unknown to those providing the Analyses stimuli to the experimental subjects. Assigned numbers would be used as if they were the names of the subjects when acquiring the Analyses from Astrodienst. After the experiment was run, the assigned numbers would also be used to determine if the Analysis a subject identified as his or her own was indeed generated from his or her natal information. <BR><BR> A "distributed labs" model could help to curb the costs associated with this research incurred by any one lab. Astrodienst currently sells an Analysis for 64.95 USD. Each lab could purchase a minimum of one Analysis to perform at least one run of the experiment and share the Analysis with the materials resource pool of all participating labs (which could exist in the form of PDFs available from the Files section of this project, and from which all may randomly draw their non-subject stimuli Analyses). Similarly, all participating labs may contribute the results of their run(s) of the experiment (i.e., the number(s) of the Analysis the subject(s) identified as his or hers after being presented with <i>x</i> many Analyses) to a build a dataset with an n>385. <br> <br> <br><i>If you are interested in being added as a contributor to this project, do two things</i>:<BR> 1) Make sure that you have an OSF login.<BR> 2) Email the name associated with that login with a request to be added to <BR>Personality Recognition Among Multiple AstroIntelligence Outputs <BR>to: ben.blohowiak at gmail dot com