
Geoffrey HintonBaZi Chart Analysis
Earth Day Master, Earner Pattern (正格). Seal Star 18.1%, dominant Ten God Earner (财星). Winner of the 2024 Nobel Prize in Physics for foundational contributions to artificial neural networks and machine learning (Godfather of AI).
BaZi Chart
Core Analysis
Geoffrey Hinton was born on 1947-12-06, with three pillars Ding Hai, Xin Hai, Ji Wei (hour pillar undisclosed, analysis based on three pillars). Day Master Earth (Ji Wei day), pattern identified as Earner Pattern (正格). Self strength: Weak Self (slightly weak) — chart energy dispersed, relying on external energy drive.
Chart Overview
| Year Pillar | Month Pillar | Day Pillar | |
|---|---|---|---|
| Heavenly Stem | Ding | Xin | Ji |
| Earthly Branch | Hai | Hai | Wei |
| Ten God | Mystic | Talent | Self |
Ten God Energy Distribution
| Category | Percentage |
|---|---|
| Seal Star | 18.1% |
| Officer & Warlord | 21.7% |
| Wealth Star | 36.1% |
| Talent & Maverick | 12.0% |
| Peer & Rival | 12.0% |
Dominant Ten God: Earner (Wealth Star)
Position Among 114 Nobel Samples
- Seal Star Concentration: 18.1% (near sample average)
- Rank in Sample: 56th / 114
- Sample Average: Seal Star 20.56%, Hinton's deviation: -2.46 percentage points
This data places Hinton in the "Seal Star near average" group within our study of 100 Nobel laureates' BaZi.
Luck Cycle Milestones
- Ages 11-20 (1957-1966): Geng Xu (Metal) — Ten God: Maverick
- Ages 21-30 (1967-1976): Ji You (Earth) — Ten God: Peer
- Ages 31-40 (1977-1986): Wu Shen (Earth) — Ten God: Rival
- Ages 41-50 (1987-1996): Ding Wei (Fire) — Ten God: Mystic
- Ages 51-60 (1997-2006): Bing Wu (Fire) — Ten God: Mentor
- Ages 61-70 (2007-2016): Yi Si (Wood) — Ten God: Warlord
Fortune Analysis Portrait
Hinton's Earner Pattern structure with dominant Earner indicates that the 2024 Nobel laureate's fortune path core characteristics are:
- Energy Drive Mode: Wealth Star driven (pragmatic + resource integration) type
- Pattern Tendency: Earner Pattern typically gives innate advantages in the "pragmatic + resource-driven" direction
The award citation "foundational contributions to artificial neural networks and machine learning (Godfather of AI)" corroborates the chart's energy type — truly Nobel-level breakthroughs require at least one Ten God energy concentrated enough to support long-term perseverance.
Further Reading
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Trait Analysis
己未日柱名人
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