Why Astrological Data?

Skepticism toward astrology is reasonable. Many associate the term with simplified horoscopes, arbitrary claims, and a lack of analytical rigor. CRED does not rely on astrology in this form.

Astrology as a dataset – not as a causal explanation

In CRED, astrological data are not used because planets are assumed to influence people physically or metaphysically, but because they constitute a global, stable, and mathematically defined dataset.

This dataset functions as a coordinate system for analysing relationships and interaction—much like geographic coordinates are used to describe landscapes, without causing them.

Structure over belief

CRED does not require belief in astrology as an explanatory model. The only assumptions are that:

• complex systems consist of relationships, not merely isolated components
• structure and interaction can be analysed independently of personal belief
• a well-defined coordinate system can make otherwise hidden patterns visible

Astrological data are used because they provide a precise, consistent, and non-manipulable framework for this type of structural analysis.

What CRED actually analyses

A CRED analysis is not concerned with fate or prediction, but with identifying:

• relational axes and mutual influence
• friction and resonance between people
• asymmetries in needs, power, and expectations
• potentials and vulnerabilities within relationships

The outcome is a clearer understanding of dynamics—not definitive answers or fixed conclusions.

A pragmatic approach

CRED is pragmatic in its use of tools: when a structured dataset contributes to clearer insight into relationships, it is used—regardless of historical labels.

The method is therefore not about belief, but about legibility, structure, and analytical value.

CRED reads structure—not belief.