Validating Transit Predictions: A Case Study Using Tiger Woods' 2021 Accident

The Test Case: A Well-Documented Event

On February 23, 2021, Tiger Woods was involved in a single-vehicle rollover accident in Rolling Hills Estates, California. The incident resulted in compound fractures to his right leg, requiring emergency surgery and extensive rehabilitation. The event was documented with precision: emergency services received the 911 call at 7:12 AM PST.

For astrological validation, this case offers several advantages: certified birth data (Rodden Rating: AA from birth certificate), exact event timing from official records, clear outcomes affecting career and physical health, and extensive documentation from multiple sources.

We used this event to test our Morin-style transit engine's ability to identify high-risk periods.

Methodology: Setting Up the Analysis

Using Tiger Woods' verified birth data (December 30, 1975, 10:50 PM, Long Beach, California), we configured the transit scanner to analyze the period leading up to the accident. The system was set to scan from February 1-23, 2021, using daily intervals to identify periods of elevated astrological tension.

The analysis focused on what traditional astrology identifies as sensitive points: angular house cusps (particularly the Midheaven for career and public standing) and key natal planets. We enabled the system's scoring algorithm, which weights transits based on planetary speed, aspect type, orb tightness, and house involvement.

Results: Identifying the High-Risk Window

The system flagged three consecutive days as peak negative periods:

• February 21, 2021, 3:00 PM - Score: 44.4 (Negative tone)
• February 22, 2021, 3:00 PM - Score: 44.8 (Negative tone)
• February 23, 2021, 3:00 PM - Score: 44.8 (Negative tone)

The accident occurred on February 23 at 7:12 AM PST, falling within the identified high-risk window.

Astrological Signatures Present

The system automatically generated keywords for these periods based on the active transits:

• "Injury risk"
• "Career strain"
• "Malefic" (indicating challenging planetary influences)
• "Negative" (tone classification based on hard aspects)

The specific planetary patterns included:

• Mars forming hard aspects to the Midheaven (10th house cusp)
• Saturn aspects to angular points
• Multiple afflictions involving the career sector

All aspects were classified as "Applying," indicating the configurations were building toward exactness rather than separating, which is significant for timing purposes.

Analysis: What the Data Shows

Temporal Accuracy

The system identified a specific 3-day window that coincided with the accident date. These were the highest-scoring negative periods in the entire February 2021 timeframe.

Thematic Correspondence

The auto-generated keywords aligned with the actual event: physical injury affecting professional career. The system specifically flagged "Injury risk" combined with "Career strain," which accurately describes an accident that threatened his golf career.

Scoring Consistency

The scores remained elevated (44-45 range) across all three days, suggesting sustained astrological tension rather than a brief spike. This clustering pattern reflects what traditional astrology considers multiple testimonies pointing to similar outcomes.

Peak Identification

When viewing the monthly timeline, these dates represented the most significant negative peak. The visualization showed a clear red-colored cluster (indicating malefic-dominated transits) during this exact period.

Technical Approach: Morin Geometry

The system uses Jean-Baptiste Morin's 17th-century mathematical framework, which differs from simplified zodiac-degree comparisons. The method accounts for:

• Three-dimensional spherical coordinates
• Planetary latitude (positions north/south of the ecliptic)
• Orbital plane rotation for each planet
• Traditional orbs of virtue (varying by planet)

The scoring algorithm applies weighted criteria:

• Outer planets (Saturn, Jupiter) receive higher base scores
• Hard aspects (squares, oppositions) score higher for challenge indicators
• Aspects involving angular houses receive bonus points
• Tight orbs (closer to exactness) increase scores
• Rulership connections add context-specific weight

Timeline Visualization

The color-coded bar chart displays patterns at a glance:

• Red bars indicate malefic-dominated periods (Mars/Saturn transits)
• Green bars show benefic-dominated periods (Jupiter/Venus transits)
• Blue bars represent Moon support periods
• Bar height corresponds to aggregate score

For the Tiger Woods analysis, the timeline showed a pronounced red peak on February 20-23.

Practical Applications

The same analytical approach can be applied to various planning scenarios:

Personal Timing

• Scheduling medical procedures around favorable health transits
• Planning business launches during supportive career transits
• Timing contract signings when Mercury patterns are favorable

Event Selection

• Identifying optimal wedding dates based on Venus and 7th house transits
• Planning travel around 9th house transit patterns
• Coordinating major purchases with 2nd house considerations

Risk Assessment

• Athletes monitoring injury-risk windows for training adjustments
• Public figures tracking reputation-sensitive periods
• Performers timing launches around 5th and 11th house transits

Relationship Analysis

• Tracking Venus transits to natal relationship indicators
• Monitoring Saturn cycles for commitment themes
• Analyzing Mars patterns for timing relationship discussions

Data Quality Standards

This analysis meets rigorous validation criteria:

• AA-rated birth time from certified birth certificate
• Precisely documented event time from official emergency records
• Clear, unambiguous outcome
• No parameter adjustment after the fact

Our validation dataset includes additional cases with similar data quality:

• Prince William's wedding ceremony (official royal timing)
• Presidential inaugurations (constitutionally mandated schedules)
• Other events with verified timestamps and AA/A-rated natal data

Each case provides independent verification of the system's consistency.

Advanced Features: Context Windows

For users requiring deeper analysis, the Context Windows feature integrates multiple timing techniques:

• Primary Directions: Traditional angle-based timing
• Secondary Progressions: Day-for-a-year symbolic advancement
• Solar Arc Directions: Uniform planetary movement

The system can suggest these windows automatically and adjust transit scoring when multiple techniques converge on the same period. For the Tiger Woods analysis, we focused exclusively on transits, but incorporating these additional layers would likely have provided supplementary confirmation.

User Interface Design

Basic Usage

• Preset buttons for common configurations
• Quick-scan options (7 days, 30 days, 90 days)
• Automatic keyword generation
• Visual timeline requiring minimal interpretation

Intermediate Options

• Custom focus areas by house or planet
• Flexible scan intervals (15 minutes to daily)
• Automatic peak detection
• Phase classification (applying/separating)

Advanced Capabilities

• Morin-accurate three-dimensional calculations
• Arabic parts and antiscia points
• Rulership integration across houses
• Multi-technique context weighting

Reproducing the Analysis

To verify these results independently:

1. Access the Transit feature in the application
2. Input natal data: December 30, 1975, 10:50 PM, Long Beach, CA
3. Set scan window: February 1-23, 2021
4. Select step size: 1440 minutes (daily intervals)
5. Choose sensitive houses: Angular (1/4/7/10)
6. Execute scan
7. Review timeline for the February 20-23 peak

The results are reproducible because they derive from astronomical calculations rather than subjective interpretation.

Validation Significance

This case study demonstrates several points about transit analysis:

• The system identified a specific temporal window matching the event date within a broader 23-day scan period
• Auto-generated keywords corresponded to the actual event type without human interpretation
• Peak scores represented the highest negative values in the analyzed timeframe
• The methodology uses established astronomical data and traditional astrological frameworks

Implementation Approach

The technology combines historical techniques with modern tools:

• 17th-century Morin geometric principles
• NASA-grade astronomical ephemeris data
• Computational analysis of hundreds of aspects simultaneously
• Weighted scoring based on traditional astrological principles
• Visual presentation of complex data patterns

Key Findings

• The transit engine identified Tiger Woods' accident window with 3-day precision
• System-generated keywords matched event characteristics: injury and career impact
• Peak negative scores occurred during the accident date range
• The analysis used verified birth data and official event timing
• Results are reproducible using the same parameters

Accessing the Technology

The transit scanner is designed for both preliminary research and detailed forecasting. Users can analyze upcoming periods for planning purposes, examine historical events for pattern recognition, or combine multiple timing techniques for comprehensive analysis.

Whether planning significant decisions, assessing challenging periods, or researching astrological patterns, the transit feature provides data-driven temporal analysis based on traditional principles.

This analysis is presented for research and validation purposes. Birth data and event timing referenced from public records. Chart calculations performed using verified astronomical ephemeris data.

Keywords: Astrological transit predictions, Tiger Woods accident astrology, Morin transits, predictive astrology software, astrological timing, transit scanner, planetary aspects, birth chart analysis, astrological forecasting, event timing astrology, natal transits, secondary progressions, primary directions, horoscope accuracy, validated astrology