Let Them Be the Judge of That: Bias Cascade in Elite Dressage Judging.
Abstract: Sport performances judged subjectively often suffer from systematic errors due to biases, with the sport of equestrian dressage being no exception. This study examines whether international dressage judges display systematic errors while evaluating elite horse-rider combinations. Data from seven 5* Grand Prix dressage events between May 2022 and April 2023 were analyzed (510 judges' scores) using Multivariable Linear Regression Analysis. Five predictor variables-Home, Same Nationality, Compatriot, FEI Ranking and Starting Order-were studied in relation to Total Dressage Score (TS). The model accounted for 44.1% of TS variance; FEI Ranking, Starting Order, Compatriot, Same Nationality, and Home were statistically significant (p < 0.001). Judges exhibited nationalistic and patriotism-by-proxy biases, awarding significantly higher scores to riders from their countries (p < 0.001). FEI Ranking and Starting Order also influenced scores significantly (p < 0.001). These biases, combined, created a cascade effect benefiting a specific group of riders. To address this, measures should be taken to develop a more objective judging system that is based on unequivocal, transparent and evidence-based criteria and supports the continuous development of a fair, sustainable, equine welfare orientated sport that fosters societal acceptance.
Publication Date: 2023-09-03 PubMed ID: 37685061PubMed Central: PMC10486362DOI: 10.3390/ani13172797Google Scholar: Lookup
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Summary
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The research article explores the presence of systematic bias in judging in international dressage events, highlighting how various factors including nationalistic bias and starting order can influence the scores given to horse-rider teams.
Objective of the Research
- The study aimed to identify if dressage judges at international events exhibit a systematic bias while judging performances. The bias was investigated in relation to certain key parameters such as FEI (International Federation for Equestrian Sports) Ranking, Starting Order, and the nationality of the participants.
Methodology of the Research
- The research was based on data collected from seven 5* Grand Prix dressage events held between May 2022 and April 2023.
- A total of 510 judges’ scores were scrutinized using Multivariable Linear Regression Analysis.
- Five predictor variables were analyzed in relation to the Total Dressage Score (TS). These variables include Home (whether the competition was held in the judge’s home country), Compatriot (whether the rider was from the judge’s country), Same Nationality (whether the judge and rider share the same nationality), FEI Ranking, and the Starting Order of the performers.
Findings of the Research
- The analysis showed that the chosen model accounted for 44.1% of the variance in TS.
- Statistically significant bias was found regarding all five predictor variables (FEI Ranking, Starting Order, Compatriot, Same Nationality, Home).
- The results revealed that judges displayed nationalistic and patriotism-by-proxy biases, awarding higher scores to riders from their own countries.
- The study also showed that the FEI Ranking and Starting Order significantly influenced the scores awarded by the judges.
Relevance and Implications of the Study
- The research highlights a serious issue of bias in dressage judging at international events. The biases create a cascade effect, giving an unfair advantage to certain groups of riders, particularly those from the judges’ countries.
- This systematic bias challenges the fairness and sustainability of the sport, which emphasizes and requires objectivity, transparency, and equine welfare for societal acceptance.
- Given these findings, the authors push for measures to improve the objectivity of judging in equestrian sports. They suggest developing a system that is more transparent and based on unequivocal, evidence-driven criteria.
Cite This Article
APA
Wolframm I.
(2023).
Let Them Be the Judge of That: Bias Cascade in Elite Dressage Judging.
Animals (Basel), 13(17).
https://doi.org/10.3390/ani13172797 Publication
Researcher Affiliations
- Applied Research Centre, Van Hall Larenstein University of Applied Sciences, Larensteinselaan 26-A, 6882 CT Velp, The Netherlands.
Conflict of Interest Statement
The author declares no conflict of interest.
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