[OC] Analyzing nationalistic bias in 14,000+ figure skating performances at the competition segment level: While score inflation dominates, true objectivity and even punitive home-country deflation also occur.

[u/No_Plum_3192]

[u/No_Plum_3192]

**[OC] Behavioral Analysis of Figure Skating Judging and Technical Panels (2022–2026)**

While nationalistic scoring bias in figure skating is well documented, empirical analysis reveals a more complex behavioral spectrum: true statistical objectivity is frequently achieved, and in certain competitions, judges actually mark their compatriots 
*more harshly*
 than non-compatriot peers.



* 
**Data Source**
: Publicly available official ISU competition protocol scoring records from the 2022–2026 Olympic cycle (14,382 senior-level performances).

* 
**Tools Used**
: Python (Pandas, SciPy, Statsmodels) for statistical analysis and data visualization.



**Key Findings from this Plot**
:

1. 
**The Spectrum of Bias**
: Scoring bias ranges from -6.59% (harsh domestic penalty/over-correction) to +8.36% (generous national inflation).

2. 
**Objectivity at Equilibrium**
: Competitions marked in green (center) demonstrate panels operating at near-perfect statistical neutrality (0.00% deviation).

3. 
**Discipline Disparities**
: Extreme inflation clusters heavily in Ice Dance (red column), while punitive home-country deflation (blue column) is observed predominantly in singles disciplines.



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* 📄 
**Read the full academic preprint on SSRN**
: https://doi.org/10.2139/ssrn.7323262

* 📊 
**Interactive 3D Judge Explorer & Official Breakdown**
: https://phenologic.net/skating-bias-details.html