Kenneth McRitchie

Astrology research has been using artificial intelligence (AI) to improve the understanding of astrological properties and processes. Like the large language models of AI, astrology is also a language model with a similar underlying linguistic structure but with a distinctive layer of lifestyle contexts. Recent research in semantic proximities and planetary dominance models have helped to quantify effective astrological information. As AI learning and intelligence grows, a major concern is with maintaining its alignment with human values and intentions. Astrology has an extensive background and theory on how different values and expressions of intelligence are resolved. As AI learns to interact with improved astrological models backed by evidence, the integration could produce a stable and insightful alignment of the two disciplines.

In answer to the question "why is there something rather than nothing?" this book is not like the cosmological theory you learned in school. It is not that there was a big bang in the beginning that resulted in every property from nothing. Rather, the question is examined as experience and phenomena. The "something" means the properties of the things and places that come to our conscious awareness of what it is like for each of us to observe something from our own microcosmic center of the universe. This necessarily entails a consideration of astrology and correlative worlds. In contrast to how astrology is typically described as "influences," this approach uses a hierarchy/equality framework that relates mind to the cosmological order. Axiom-like principles and theories are used to introduce you, as the "astrological native," to your environmental interactions modeled into fundamental properties described in categories of urges, values, intentions, and skills.

As it has been shaped by improvements in its tools and methods, and by its discourse with critics, I describe how the astrological research program has advanced through three stages of modelling and design limitations. Single-factor tests (for example, the many Sun-sign–only experiments that have been published) are typically underdeterministic. Multi-factor tests, unless they are very well designed, can easily become overdeterministic. Chart-matching tests have been vulnerable to confirmation bias errors until the development of a machine-based, whole-chart matching protocol that has objectively produced evidence of high effect-sizes. A meta-analysis of recent results shows the rapid advancement and how to further improve the results. The value of the program is not only to corroborate the taxonomic counterfactuals of astrological “cookbooks,” but to extend their explanatory reach by the comparison of astrological postulates and inferences with philosophies in other disciplines in terms of quantifiable processes and emergent effects.

Two of the staunchest critics of astrology presented their case in an article published in this journal that has since become a standard reference. The authors argue that the astrological experience is more likely to work by 'hidden persuaders' than by either objective or psychic criteria, yet their argument provides no evidence of this. The authors demand careful testing yet their own examples and claims against astrology are not careful. The metaanalysis claim mixes studies with widely disparate data types. The parental tampering argument against Michel Gauquelin's planetary eminence findings lacks supportive evidence. The 'definitive' time twins test fails to define the criteria of resemblance. The test of predicting psychological test profiles does not discriminate between permanent personality dimensions and psychological states as astrology requires. The blind chart matching studies evaluated skills on the wrong parties where they would not be expected by either astrology or psychology. The authors fail to mention the most interesting and promising peer-reviewed astrological research studies that were available to them. Improved discourse with astrological subject matter experts is recommended.