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Reconciling Astrology with Evidence

We cherish wonder—and we gather it carefully. Share birth data and lived outcomes so we can reconcile and fine‑tune traditional astrological correlations with modern, large‑scale evidence.

Contribute your data Read the origin story

Once, when the universe was young

(A short, Calvino‑inspired origin tale)

Once upon a time, before calendars learned to number themselves, a city of listeners built an observatory of water. They lowered brass cups into their river and watched the whirlpools speak. Each eddy, returning like a remembered tune, seemed to whisper that patterns were a kind of gravity: the way events invite other events to follow.

At night the listeners turned their cups upward. The sky was a darker river; the stars were bright eddies. They kept two ledgers—one for happenings on earth, the other for the sky—and drew lines between them the way fishermen string beads. When two lines held their shape over many seasons, the listeners would nod, as if feeling a handhold in the current.

We inherit their curiosity but not their certainty. Over thousands of years the sky itself has shifted (precession); calendars, longitudes, and timekeeping have changed. Our work is to re‑index the old ledgers against today’s coordinates and clocks—gathering carefully, then reconciling claims with contemporary evidence. If there are eddies between the heavens and our hours, we aim to trace them with precision; if not, we’ll say so plainly. Either way, the map improves.

Our purpose

Gather with care. Reconcile with evidence.

Reconciliation

Astrology is an archive of human pattern‑seeking. Statistics is a discipline for careful counting. We reconcile them by putting classical rules and modern data on the same field: stated in advance, comparable, and repeatable.

Participation

Crowd‑sourced, global, privacy‑preserving data lets us fine‑tune—or rule out—subtle correlations with confidence.

Publication

All code, protocols, and aggregate results are open. We release null results and replications first‑class, not as footnotes.

How we gather & reconcile

Plain‑language protocol, no asterisks.

Design

  • Pre‑register reconciliation questions (e.g., “Do classical rules—like Mars above horizon X—align with profession Y in modern data?”).
  • Define outcomes precisely (occupation codes, clinical definitions, standardized surveys).
  • Specify model families in advance and plan negative controls (e.g., randomized sky maps).

Analysis

  • Hold‑out evaluation and out‑of‑sample checks.
  • Multiple‑comparisons control (Benjamini–Hochberg; Bonferroni where appropriate).
  • Confounder adjustment (precession/sky drift, time zone, seasonality, geography, demographics).
  • Robustness checks (placebo, permutation, sensitivity analyses).

Transparency

  • All code and protocols published under an open license.
  • Aggregated results shared; raw personal data never public.
  • Replications by independent groups are welcomed and featured.
  • We celebrate both positive and null results—both are progress.
We do not claim destiny. We gather patterns and reconcile them with lived outcomes. Whatever the data say, we’ll show our work.

Contribute your data

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Ethics & privacy

Respect first, curiosity second.

We minimize what we collect, encrypt what we keep, and aggregate what we publish. We separate contact info (optional) from research data by design.

  • Consent‑based participation with clear withdrawal options.
  • Data minimization, pseudonymization, and key isolation.
  • Independent audits and reproducible pipelines.
  • Community governance for major protocol changes.

We also maintain a standing Null Results ledger: when an effect doesn’t hold, we publish it prominently to prevent file‑drawer bias.

Questions? Email the team; we respond and incorporate feedback into the protocol changelog.

FAQ

Short answers now, papers later.

Do you believe in astrology?

We believe in careful gathering and reconciliation. The project welcomes both skeptics and believers; the shared premise is that clear claims can be stated, compared, and refined against modern data.

What outcomes do you study?

Verifiable ones: e.g., profession categories, major life events with documentation, standardized psychometric scales, and longitudinal survey responses.

Will you share my exact birth data?

No. We publish only aggregates and derived features (e.g., sky configuration buckets), never raw timestamps or locations without explicit, separate consent.

Isn’t everything just correlation?

Scientifically speaking, “correlation is not cause”. But on the other hand, where there is smoke, there is fire! We’re here to gather carefully, fine‑tune classical correlations with modern data, and separate signal from coincidence—without overreaching to causal claims.