Event-Timing Validation in Bazi Cases
Evaluate Bazi event timing with predeclared windows, themes, eligible periods, misses, base rates, alternate explanations, and out-of-sample checks.
Overview
Event-timing validation requires rules set before the event record is inspected. Define the natal dependency, timing layer, technical trigger, thematic category, date window, specificity, and what counts as a hit, near hit, miss, or ambiguous case. Evaluate every eligible period, not only the one that resembles the event, and distinguish exact records from recalled or rounded dates. Known events used for rectification or rule selection cannot serve as independent validation. Stronger evidence comes from pre-registered, out-of-sample observations with complete reporting and appropriate comparison rates. Even a good match demonstrates correspondence under the stated method, not causation or a guaranteed forecast.
At a glance
- Predeclared fields
- Trigger, layer, theme, date window, specificity, and match rule
- Eligible evidence
- Every period meeting the rule, including non-events
- Event provenance
- Record, date precision, source, and confidence
- Leakage control
- Selection and rectification events excluded from validation
- Stronger design
- Out-of-sample or prospective complete reporting
- Cannot establish
- Causation or guaranteed future prediction
Pre-register the trigger and match rule
Specify the natal target, Luck-Pillar or annual relation, required members, technical effect, thematic category, date window, and acceptable specificity before reviewing events.
Avoid broad labels that can match nearly anything. Define what would count as a miss and when the rule is not applicable.
- Set the rule before observation.
- Make misses possible.
Audit the event record
Record the event date or range, source, precision, whether it was contemporaneously documented, and whether the analyst knew it during chart selection.
Do not convert a recalled year into an exact month or day. Keep multiple plausible dates and test each without choosing the best fit.
- Preserve date uncertainty.
- Disclose analyst knowledge.
Evaluate all eligible periods
List every period that meets the technical trigger and whether the specified event theme occurred. Report false positives, false negatives, near matches, and ambiguous cases.
Compare ordinary frequency and alternative explanations where possible. A common life event within a wide window supplies weak evidence even when the wording feels precise.
- Report the full denominator.
- Consider base rates and alternatives.
Separate correspondence from prediction
A retrospective match may illustrate how a method is applied, but it does not prove causation, portability to other charts, or future accuracy.
High-stakes plans should rely on direct risk information and qualified advice. Timing analysis can support reflection, not certainty or delay of necessary action.
- No causal or universal claim.
- No high-risk reliance on a timing match.
Sources and editorial basis
- 《三命通會》 (Sanming Tonghui)《三命通會》的歲運、流年與命例材料提供傳統應期規則、時間層和案例對照來源A historical compilation covering stems and branches, Ten Gods, Nayin, Shen Sha, and multiple classical pattern systems.
- 《滴天髓》 (Dripping Heavenly Marrow)《滴天髓》及註本的原局與歲運關係提供事件時間分析的全局背景，但文本案例不能自動建立統計因果A core later text on Bazi balance, seasonal strength, and relational reading.
- OpenFate Editorial Methodology應期驗證頁要求事前定義主題、日期窗、命中與未命中，分開校時資料與驗證資料，完整報告所有合格期間OpenFate separates deterministic chart calculation, traditional interpretation, and modern editorial explanation.