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Comparative case study · 2026

BaZi Benchmark 2026: Tian Mira vs BaZi Calculator vs Master Sean Chan

True solar time, real birth location and Day Master strength: why three engines can display the same pillars while assessing chart strength differently.

BaZi Benchmark 2026 comparing Tian Mira, BaZi Calculator and Master Sean Chan

Summary

This study compares three BaZi readings using the same case: a birth in Lisieux on 26 January 1970 at 11:50, with GMT+1 and no daylight saving time.

In this specific case, Tian Mira, BaZi Calculator and Master Sean Chan converge on the Four Pillars — 四柱 (year, month, day and hour pillars) when parameters are entered correctly. The main divergence concerns the qualitative assessment of the Day Master — 日主, here 丙 Bing (Yang Fire).

Tian Mira documents the real location, true solar time, the 午 Wu (Horse) and 巳 Si (Snake) roots and advanced_weighting_v2. This transparency makes the reasoning inspectable without turning one case into a universal ranking.

Data entered into the engines

Location and time zone matter when a solar correction can move a time close to an hour-branch boundary. This case uses Lisieux rather than an approximate major city.

Input data for Lisieux and Paris with true solar time comparison
ParameterValue
Birth date26 January 1970
Civil time11:50
Real locationLisieux, France
Time zoneGMT+1 / Europe/Paris
Daylight saving timeNo
Lisieux longitudeabout 0.23° East
Lisieux true solar timeabout 10:38–10:39
Location observed for Master Sean ChanParis
Paris true solar timeabout 10:47

The Four Pillars: convergence across the three engines

Year: 己酉 Ji You — Yin Earth / Rooster
Month: 丁丑 Ding Chou — Yin Fire / Ox
Day: 丙午 Bing Wu — Yang Fire / Horse
Hour: 癸巳 Gui Si — Yin Water / Snake
Four Pillars alignment across the three BaZi engines

The main divergence: Day Master strength

The engines therefore share the same main structure. The useful comparison begins next: how does each one assess the strength of 丙 Bing (Yang Fire), the Day Master — 日主?

Day Master strength comparison across the three BaZi engines

BaZi Calculator: a more mathematical reading

The observed result shows roughly Wood 0%, Fire 30%, Earth 36%, Metal 18% and Water 16%, with 30% support versus 70% opposing forces.

This presentation makes elemental masses easy to read, but gives a stricter Day Master strength assessment in this case.

Master Sean Chan: shared base, neutral strength

The observed free display gives the same Four Pillars and marks strength as Neutral / 中和 (balanced, neutral).

The difference is not the validity of the pillars, but how much methodology is visible in the observed result.

Tian Mira: explicit roots and weighting

Tian Mira displays roughly Wood 0.0%, Fire 44.3%, Earth 36.5%, Metal 12.5% and Water 6.8%.

The central point is the exposed roots: 丙 Bing (Yang Fire) sits on 午 Wu (Horse) in the day branch and is supported by 巳 Si (Snake) in the hour branch. The resulting reading is rather strong, with documented confidence and warnings.

What Tian Mira makes verifiable

advanced_weighting_v2 exposes raw scores, percentages, roots, root strength, support, pressure, ratio, confidence and warnings.

The method and its coefficients are public, which supports verification without adding individual predictions.

Study limits

This is a comparative case study, not a definitive ranking of all BaZi engines.

A general benchmark would require more dates, locations, hour boundaries, historical time-zone changes and profiles with varied or ambiguous strength.

Cautious wording

In this specific case, the three engines converge on the Four Pillars when parameters are entered correctly. The main divergence concerns Day Master strength. Tian Mira exposes more of the method: real location, true solar time, 午 Wu (Horse) and 巳 Si (Snake) roots, advanced_weighting_v2 and public evidence files.

Conclusion

Precision is not limited to producing the correct Four Pillars. It also requires explaining the parameters and weighting that lead to classifying a Day Master as weak, neutral, balanced or rather strong.

Further reading: the 3,604-profile manifest

The 3,604 technical profiles manifest is a separate topic from this case study. It is meant to verify Tian Mira’s technical export on a broader corpus, without adding individual predictions.

Resources

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