Understanding Favourable and Unfavourable Judges
Geomancy is an ancient divination system that provides deep insights into life’s questions. However, traditional geomantic rules sometimes lead to challenging interpretations, necessitating the evolution of new methodologies. I have refined my approach by revisiting ancient, often discarded rules and developing new ones to enhance accuracy.
Addressing a Key Problem in Geomancy
A persistent issue in modern geomantic interpretation is how the court handles questions where a positive result is actually bad for the querent. Current rules dictate that good figures always signify a positive answer to the question itself, not necessarily a favorable outcome for the querent.
For example, if someone asks, “Is Dolores bad-mouthing me in the office?” and the court produces a series of positive figures, concluding with a Fortuna Major Judge, the traditional interpretation would confirm that she is indeed spreading rumors. However, this contradicts other divinatory principles and creates inconsistencies. To resolve this, I propose a rule where a favorable court benefits the querent, while a negative one signifies an unfavourable outcome.
Reevaluating Favourable Judges in Geomancy
A Judge in geomancy can only be an even figure, such as:
- Positive Judges: Fortuna Major, Fortuna Minor, Acquisitio, and Via.
- Mixed Figures: Conjunctio, Carcer, and Populus.
- Negative Judge: Amissio.
Interestingly, some figures shift meanings based on context. For instance, Amissio can be beneficial when seeking to lose something (such as weight) or in romantic inquiries due to its Venusian association.
Statistical patterns reveal that Judges frequently favour the question itself rather than the querent, which is problematic. In the past, Christopher Cattan addressed this by determining whether the Judge aligned with the left or right witness. The right witness represents the querent—if the Judge supports them, the outcome is favourable. If the judge aligns with the left witness, it suggests the other party benefits, leaving the querent with an unfavourable result.
However, this system does not fully resolve scenarios where a seemingly positive Judge delivers a negative result for the querent. For example, if a Fortuna Major Judge and right witness appear in response to the Dolores question, how can that be positive for the querent when it confirms slander?
A New Rule for Clearer Geomantic Readings
Ask yourself: “Is this scenario good or bad for the querent?” In the Dolores example, if she is bad-mouthing the querent, that is an undesirable situation. Positive figures should indicate a good outcome for the querent, meaning she is not spreading rumours. Negative figures would signify that she is indeed engaging in slander.
A positive sentence would reinforce this perspective, as would a Judge aligning with the fourth house (representing the matter’s conclusion).
Practical Example: Health Inquiry
Consider a question like “Am I suffering from COVID?” Ideally, the querent wants to avoid illness.
- The Judge is Fortuna Major, which is universally positive, suggesting that the querent does not have COVID.
- The right witness (representing the querent) is Carcer (a mixed figure). In contrast, the left witness (representing COVID) is Amissio—typically negative, but in this case, indicating a reduction of illness or low risk.
- The Judge favours the querent, implying limited exposure.
- The fourth house and Judge alignment confirm the outcome. If they disagree, additional elements—such as a Rubeus sentence—could indicate complications.
- Rubeus, often hostile, is beneficial for health, indicating strong immunity.
- The presence of Via (a favourable health figure) and Conjunctio support a favourable prognosis.
Final Interpretation
The reading suggests that the querent does not currently have COVID, possesses strong immunity, and is unlikely to contract it unless their exposure significantly increases.
Enhancing Geomantic Accuracy
By adopting this revised approach, geomancers can produce clearer, more practical readings. Instead of rigidly applying rules that may contradict real-life implications, this method ensures that positive figures align with beneficial outcomes for the querent, improving overall accuracy and reliability in geomantic divination.
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