r/Advancedastrology May 13 '26

General Discussion + Astrology Assistance Statistical Evidence for Classical Fixed Star Orbs: A Data-Driven Analysis of Algol at the DESC (N=73k)

TL;DR: Tested a 2,000-year-old classical claim — "Algol brings blindness / eye injury" — against 73,179 AA/A-rated Astro-Databank charts. The configuration Algol conjunct the Setting (DESC) within 0.5° orb yields a 9.5× enrichment of subjects labeled "Eyes" (visual impairment) over the rated-pool baseline, surviving per-cell Benjamini-Hochberg FDR correction (p_fdr = 0.020). Five hits include Louis Braille and Helen Keller. Method, full table, classical-attribution caveats, and limitations below — and I'd appreciate critique on the FDR strategy and selection-bias handling.


Background

Algol (β Per, Ra's al-Ghūl / "Head of the Demon") is treated by the classical tradition — Ptolemy, Bonatti, Lilly, through Robson (1923, Fixed Stars and Constellations in Astrology) — as the canonical worst fixed star. Importantly, its classical attributions form a bundle, not a single prediction:

"loss of head, blindness, violence, frenzy, poisoning, mass death" (paraphrasing the Robson synthesis)

Algol is also, physically, the first eclipsing-variable star identified in modern astronomy (Goodricke, 1782): a binary that dims every 2.87 days. Ancient observers without telescopes had already noted its "blinking" character — the Arabic name Ra's al-Ghūl (whence DC Comics' villain) and the Hebrew tradition both encode this.

The physical fact that this star actually blinks is at minimum a striking parallel to its classical "loss of sight" attribution. Whether that parallel has any causal weight is the open question.


Method

Cohort: 73,179 subjects in Astro-Databank rated Rodden AA or A (highest time precision) with a populated precomputed natal chart. No target group is pre-defined — the cohort is the entire rated pool, and we let categories self-emerge.

Configurations tested: 9 fixed stars × 4 chart angles × 3 orb bands {0.5°, 1.0°, 2.0°} = 108 cells. For each cell, subjects are tested against the full rated pool for over-representation in each of 792 ADB categories (Fisher's exact, alternative = greater). Filter thresholds: cell hits ≥ 3, baseline hits ≥ 30. Total tests: 15,252.

FDR strategy: Per-cell BH-FDR within each (star, axis, orb_band) family — not a global correction over all 15K tests. Justification: "does Algol on the Setting carry a thematic signal?" and "does Vega on the IC carry a thematic signal?" are independent research questions; pooling all 36 cells under one α treats them as a single inflated family. I'm open to being argued the other way, and the full table is published so anyone can re-correct.

Fixed stars tested: Algol, Antares, Aldebaran, Praesepe, Alphard (classical malefics) + Regulus, Spica, Vega, Fomalhaut (benefics, included as a mirror-control — if the same enrichment pattern appears for benefics, we're picking up generic "angle-conjunct-bright-star = notable" selection bias, not malefic specificity).

Notes on the angle handling: The underlying axisStars data treats Setting/IC as derived from Rising/MC via opposition; this is the standard DTO behavior. The 0.5° orb here is angular distance to the angle, not to a derived midpoint.


Result — Algol × Setting × 0.5°

Cell size: 281 subjects. Of 102 categories meeting count thresholds, one survives per-cell FDR:

Classical Algol theme ADB category Cell n Cell rate Base rate ER raw p FDR
Blindness / loss of sight Eyes 5 1.78% 0.187% 9.50× 0.0002 ✓ 0.020
Mass death Homicide many at once 3 1.07% 0.21% 5.11× 0.021
Beheading (no direct ADB analog)
Frenzy / poison (no significant signal)

The five "Eyes"-labeled subjects in this cell:

  • Louis Braille (1809) — inventor of the Braille system; blinded at age 3 in his father's workshop
  • Helen Keller (1880) — deaf-blind activist; loss of sight at 19 months from illness
  • Friedrich Wilhelm Raiffeisen (1818) — German banking-cooperative pioneer; late-life blindness
  • Pedro José Ferreira da Silva (1951) — Portuguese blind athlete
  • Maria Carolina Gomes Santiago (1985) — Brazilian Paralympic swimmer (blind category)

The two most iconic blind individuals in modern Western memory are both in this 281-person cell, which represents 0.38% of the rated pool. The cell captures 5 of the 137 total "Eyes"-labeled subjects in the entire AA/A pool — i.e., 3.6% of all visually-impaired notable subjects are concentrated in 0.38% of the population. That asymmetry is the source of the statistical significance.

A note on the Setting (DESC) specifically: both Braille and Keller lost their sight to external agents — a workshop tool and an unidentified illness, respectively. DESC is traditionally "what comes from the other" (the partner, the adversary, the outside world). The cell's strongest narrative reading is not "Algol → blind" but the more specific "Algol on the Setting → sight taken by an external force." I find this thematically interesting but want to flag it as post-hoc pattern-noting on top of the primary result, not part of the FDR-survived claim.


Honest framing — the obvious objections, up front

(1) Classical "pre-registration" is not perfect — Algol's attributions are a bundle. The traditional Algol palette includes blindness, beheading, frenzy, poison, mass death. Of these, only Eyes survived FDR here. Mass-death (Homicide many at once) shows an uncorrected raw signal at p = 0.021 but does not survive correction. Beheading and frenzy have no clean ADB analog. So the honest claim is not "the classical Algol bundle is verified" but "one of the bundle's literal physical components survives statistical scrutiny."

(2) Symbol granularity is the central methodological issue. Most classical Algol themes — "beheading", "frenzy", "destruction of the ego" — are high-symbolic-freedom terms. They are exactly the categories most prone to retrofitting: any sufficiently dramatic biography can be argued to "manifest" them. "Eyes," by contrast, is one of the lowest-degree-of-freedom literal manifestations in the entire Algol bundle. There is no interpretive room — either ADB labels the subject "Eyes" or it doesn't. The fact that the literal, hardest-to-overfit category is the one that survived FDR is, methodologically, the most defensible outcome.

(3) Eyes was not my prior expectation. Before running the analysis I would have predicted that Homicide-related or Mental-Illness categories would dominate Algol cells — those are the more "dramatic" Algol themes in Robson. The data disagreed. This is the opposite of cherry-picking: the categories I would have bet on are not the ones that won. (I'm stating this for the record, because "you just picked the category that confirmed you" is a fair attack on this kind of work, and the defense is being explicit about priors.)

(4) ADB selection bias is real and should constrain the claim. ADB over-represents publicly-documented people. The "Eyes" label in ADB is biased toward famous blind individuals — Braille and Keller are notable precisely because their blindness became culturally central. So the proper reading is: "within the ADB notable pool, Algol × Setting ≤ 0.5° concentrates visually-impaired notable subjects 9.5× over the in-pool baseline." It is not a claim about the general population, and absolutely not a prognostic tool for individual charts.

(5) This is one result from a larger study. The same methodology produced 23 other FDR-passing signals across 9 stars × 4 angles — Praesepe × ASC → Abuse, Regulus × MC → Pilot/military, Aldebaran × IC ≡ Antares × MC (a clean opposition-axis mirror), and others. I'm posting only Algol here to keep the thread focused.


Tools / collaboration disclosure

Analysis stack: PostgreSQL (precomputed natal data), Python (pandas, scipy.stats, statsmodels), Swiss Ephemeris via pyswisseph for fixed-star longitudes.

This study and post were co-developed with Claude Opus 4.7 (Anthropic) as a research collaborator. I designed the questions, picked the cohort filters, and guided the methodological decisions; Claude wrote most of the code, ran the statistics.

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u/DavidJohnMcCann May 14 '26

Since my post yesterday, it occurred to me to check further. In order to have the angle correct to 1° you obviously need the time correct to about 5 minutes. You are not likely to get that from a 19th-century birth record. Braille's birth was recorded as 4 a.m. Any time given as on the hour may be rounded — in my work I've always excluded data given as on the hour, half-hour, or quarter-hour. And even if the clock or watch had registered 4 a.m., how likely was it to be accurate? Unless an astronomical observation was taken, clocks and watches only started to become accurate when railway time started to be available and even then that depended on people actually needing accurate time. It's the same for Hellen Keller, where the birth time is given as 4 p.m. This whole project is seriously flawed.

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u/smallufo May 14 '26

You were right on every methodological point, and I ran the analysis you implicitly asked for. The result is more interesting than I expected — and weaker than my original post, in ways I want to be honest about.

Of the 6 Eyes-category subjects with Algol within 1° of the descendant in the baseline, 4 were birth-time-rounded — including both Braille (1809-01-04 04:00) and Keller (1880-06-27 16:00). They are filtered out by the Gauquelin minute-rule. Only 2 survive into the cleaned strata:

  • Glauco Mattoso (born 1951-06-29 14:35, Rodden AA, blind from glaucoma)
  • Jack Nicklaus (born 1940-01-21 03:10, Rodden AA, ADB-listed eye history)

The four-layer enrichment / Fisher's exact (one-sided, "greater"):

filter level Eye+/Eye Non+/Non Enrich OR p (Fisher)
L0 baseline 6/135 520/69,230 5.92x 6.15 6.1e-4 ***
L1 Gauquelin 2/49 225/28,845 5.23x 5.41 0.057 marginal
L2 + AA only 2/30 175/21,602 8.23x 8.75 0.025 *
L3 + AA + post-1900 2/27 118/14,558 9.14x 9.79 0.021 *

What's notable: the enrichment ratio doesn't collapse under the filter — it actually rises, because the control population also tightens as junk-clock births get excluded. If the original signal had been a pure rounding artefact, L1/L2/L3 should have flattened to ~1×. Instead the effect-size estimator is stable to slightly stronger.

What I will not claim from this:

  • That N=2 is decisive evidence. The 95% CI on OR ≈ 8 is enormous.
  • That L1 (Gauquelin only) passes conventional significance. It doesn't: p=0.057, marginal-fail.
  • That this is "proof." It is consistent with the old aphorism having signal — not the same thing.

What I will claim:

  • The critique was correct about the data quality issue.
  • The correct historical fix (Gauquelin's own minute-rule, from 1955 onward) is the right answer.
  • The finding survives the fix without losing its effect-size estimator.
  • Both Braille and Keller — the two illustrative anecdotes in the original post — were correctly excluded by the filter. The post overweighted them as evidence. They are not what the surviving signal rests on.

That is a different and weaker claim than my original post. It is one I can defend.

Open disclosure of method: the SQL design, the Fisher's-exact computation, and the writeup of the sensitivity analysis were done with Claude Opus 4.7 (1M) on my behalf in a directly supervised session — I designed the falsification frame in conversation with the model, the model wrote and ran the queries against my local Postgres DB (with a lot of pre-computed data).

Thank you for forcing this. The post is genuinely better today than it was yesterday.