More rules, same answer: why 165 indicators read no better than 30
In short: reading more of the chart did not make it more accurate. In the founder's study of classical Jyotish wealth rules, sets of 30, 80 and 165 indicators sorted the same 12 very wealthy people: 6 of 12 — what you would expect if the chart said nothing about wealth.
Why would more detail be expected to help?
A human astrologer weighs a few dozen factors in a chart. A computer can weigh hundreds. If accuracy grew with the number of factors, a machine reading every rule in the classical texts should do better than a person reading a few.
That was the first question of a study Yulia Myronova, the founder of Vedic AI Guru, ran in September 2026 while building the service. It was stated before the calculation: a set of 165 indicators should recognise wealth better than 80, and 80 better than 30.
How was it tested?
- Rules from primary texts. The 165 wealth indicators were taken from Brihat Parashara Hora Shastra, Phaladeepika, Jataka Parijata, Saravali and Uttara Kalamrita. The 30 and 80 sets were nested inside the 165.
- Certified birth times. Twelve people with documented large fortunes, all with Rodden rating AA — birth time from a birth certificate or civil record.
- A comparison, not an impression. Each person's score was ranked against 1,000 randomly generated charts. If the rules worked, wealthy people should rank near the top.
- Same people, same method. Only the number of rules changed between the three runs.
What did it find?
All three sets gave the same result: 6 of the 12 wealthy people ranked above the middle of the random charts, 6 below — a coin-toss split. Accuracy did not rise at either step — from 30 to 80, or from 80 to 165. The hypothesis was rejected.
Later and larger runs in the same study, including 60 wealthy people against 60 employees born in the same years, did not separate the groups either (the full study).
Why didn't more rules help?
Two reasons came out of the data.
The famous combinations almost never occur. The named wealth combinations of Brihat Parashara Hora Shastra chapter 41 appeared, on average, in 3.5% of charts. A rule that almost never fires cannot separate one group from another, however important it looks on paper.
The common indicators occur in everyone. On the study's point scale, 49.7% of randomly generated charts cleared the "wealth" threshold. As an illustration, one random chart — a moment the program picked, 28 April 1909 in Rome, computed for the study in September 2026 — scored 400 out of 500.
Adding rules mostly adds more ways for any chart to match.
Why can't you see this in a single chart?
When you look at one chart, you see that an indicator is present. You do not see how often it is present in everybody else's chart — its base rate. Without that number, a common pattern looks like a sign.
A computer can show the base rate, because it can score thousands of charts. That is the honest use of computation here: not reading better, but showing how ordinary a "rare" pattern is. The same blind spot explains why readings feel accurate even when they are not.
What does this not show?
It tested one topic, wealth, with one family of rules, on twelve people in this step. A small sample can only catch a strong effect. It does not show that every part of Jyotish is empty, and it does not show that a weak effect is absent.
What does it mean for a reading?
Vedic AI Guru does not pile up rules to make a reading look thorough, and it does not predict wealth. A reading speaks only about when pressure on a decision rises and eases — never how much, and never what to buy. It is symbolic, interpretive material — not a prediction and not financial, legal, medical or psychological advice.
How the service calculates and what it won't answer: Questions and answers
Source - Myronova, Y. (2026). Empirical testing of classical Jyotish wealth indicators: eleven analytical approaches applied to 152 birth-certificate-verified natal charts. Independent research, Zug. ORCID 0009-0007-8197-5449. Sections 3 (hypothesis H1), 5.1 and 5.5; working report of 14.09.2026 for the 3.5% figure.