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Executive Brief

Author: Chase Hallquist BSc, CFPublished by: Revolution Equine

The core challenge in contemporary equestrian competence is not a shortage of technique or better equipment, but the quality of interpretation applied to horse behavior (Xenophon, c.355 BCE; Project Gutenberg, n.d.). Public language often assumes that visible performance reflects horse cognition. The source materials presented here argue for a disciplined distinction: a horse can display reliable behavior without the same form of understanding humans usually infer.

Xenophon’s practical caution, read alongside Morgan’s Canon, gives the governing logic of this model: performance under compulsion does not prove cognitive understanding (Morgan, 1894; Xenophon, c.355 BCE). A performance outcome is therefore a behavioral fact, not a direct measure of horse behavior or comprehension, unless supported by mechanism-level explanation.

The historical Clever Hans record reinforces this logic: an observed animal response can be impressive and seem accurately explained while still being interpreted through human signaling, rather than genuine understanding of the underlying behavioral mechanisms (Pfungst, 1907).

1) Equestrian quality depends on three linked capabilities:

• accurate reading of horse behavior,

• accurate understanding of human cognition in action,

• accurate reading of institutional and cultural incentives.

The notes and supporting literature show that humans naturally over-interpret their own observations through selective attention, overconfidence, and motive-preserving reasoning (Simons & Chabris, 1999; Kruger & Dunning, 1999; Kunda, 1990; Festinger, 1957). This is not a

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personality failure. It is a cognitive architecture that can convert repeated exposure and social reinforcement into apparently stable truth.

2) Why this reframing is required in equestrian work

Evidence reviewed in the source materials consistently shows that what people notice in equestrian settings is shaped by attention, social position, and identity (Simons & Chabris, 1999; Kunda, 1990). Discussions of horse behavior and performance are then filtered through status relationships, tradition, and outcome pressure.

As a result:

• Good intentions can coexist with false explanatory claims.

• Sincere and skilled riders can still preserve inaccurate interpretations.

• Institutions can reward compliance and continuity even when explanatory quality is insufficient (Cheung, Mills & Ventura, 2025; Ross et al., 2025).

This is why the problem must be treated as a shared interpretive risk, not only as an individual knowledge gap.

3) The three-domain model

3.1 Self-domain: how riders perceive and interpret

Riders must understand that cognition influences inference quality:

• attention can omit salient warning signals,

• confidence may be decoupled from accuracy,

• identity can stabilize interpretations under stress (Simons & Chabris, 1999; Kruger & Dunning, 1999; Kunda, 1990).

This domain is where first-order correction is required for both rider growth and system design.

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3.2 Human-domain: how interpretations spread through social systems

The cited equestrian studies indicate that trainer influence, coaching authority, and elite narratives shape what becomes “normal” horse behavior and horse handling (Cheung, Mills & Ventura, 2025; Ross et al., 2025; Luke et al., 2024). Cultural defense effects can increase the cost of dissent and protect inherited norms even amid discomfort (Cheung, Mills & Ventura, 2026).

In this domain, “what is believed and given authority” is not the same as “what is accurately evidenced.”

3.3 Equine-domain: species-specific behavioral reality

Horses exhibit discrimination, learning, and adaptation, including responses that appear complex to observers (Rørvang et al., 2018; McGreevy, 2007). The interpretive error is adding human narrative intent to every adaptive behavior. Practical horsemanship requires separating observed behavior from inferred mental state.

4) Evidence-grounded mechanism (synthesis, not singular proof)

The following mechanism is presented as a cross-study synthesis from the provided evidence:

1. Authority governs initial adoption of practice norms.

2. Enculturation stabilizes those norms in routine coaching contexts.

3. Repetition habituates discomfort and reduces anomaly signaling.

4. Reinforced outcomes increase confidence in inherited explanations.

5. Dissonance emerges between care values and normalized practices.

6. Socially protective reinterpretation preserves continuity (moral framing, minimization, contextual reframing).

7. Generational transmission reproduces the cycle.

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This is not claimed as one experimentally proven chain; it is an inference supported by converging findings in the supplied material (Cheung, Mills & Ventura, 2025; Cheung, Mills & Ventura, 2026; Ross et al., 2025; Luke et al., 2024; Hogg & Hodgins, 2021).

5) Public-facing implications for implementation

For field-facing policy and education, this model supports:

• documentation standards that separate observation from explanation,

• protected anomaly reporting and dissent pathways,

• governance review linked to mechanism quality, not only visible outcomes,

• explicit teaching of bias, dissonance, and inference hygiene.

These implications align with the duality of reality described in the notes: computational/behavioral reality in the horse and interpretive institutional reality in the human system should remain analytically distinct.

6) Standards for robust claims

The evaluative framework can be operationalized as:

• Statistical validity (what is observed is unlikely to be explained by chance or selection bias), and

• Relational validity (whether the proposed mechanism genuinely maps onto the outcome being claimed).

This two-part standard improves credibility in publication, coaching guidance, and institutional review.

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Conclusion

The field-wide takeaway is straightforward: excellence in equestrian work requires a professional standard of interpretation. Technical skill remains essential, but it must be paired with cognitive and institutional literacy. In outward-facing terms, the strongest form of competence is not asking only whether a behavior appears right, but whether the explanation or action is testable, revisable, and mechanism-consistent.

References

• Claidière, N., & Whiten, A. (2012). Integrating the study of conformity and culture in humans and nonhuman animals.

• Cheung, E., Mills, D., & Ventura, B. A. (2025). But my horse is well cared for: A qualitative exploration of cognitive dissonance and enculturation in equestrian attitudes toward performance horses and their welfare.

• Cheung, E., Mills, D., & Ventura, B. A. (2026). At what line does poor horsemanship cross the line to abuse for you? Social media discourse around high-profile incidents in the performance horse world reveals polarized views on animal welfare.

• Festinger, L. (1957). A Theory of Cognitive Dissonance.

• Festinger, L., & Carlsmith, J. M. (1959). Cognitive consequences of forced compliance.

• Hogg, R. C., & Hodgins, G. A. (2021). Symbiosis or sporting tool? Competition and the horse-rider relationship in elite equestrian sports.

• Kunda, Z. (1990). The case for motivated reasoning.

• Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How difficulties in recognizing one’s own incompetence lead to inflated self-assessments.

• Lubelska-Sazanów, M. (2024). Considering the fate of equestrian sport after the Olympic Games in Paris 2024.

• Luke, K. L., Rawluk, A., Mctidie, T., & Warren-Smith, A. K. (2024). Investigating motivational priorities underlying equestrians’ horse-keeping and training practices.

• McGreevy, P. D. (2007). The advent of equitation science.

• Morgan, C. Lloyd. (1894). On the grounds of the study of animal behavior.

• Project Gutenberg. (n.d.). Xenophon, On Horsemanship.

• Ross, M., Proudfoot, K., Campbell Nishimura, E., Morabito, E., Merkies, K., Mitchell, J., & Ritter, C. (2025). A wicked problem: Systemic issues surrounding Canadian equestrian dressage and dressage horse welfare.

• Rørvang, T., Christensen, J. W., Ladewig, J., & McLean, A. (2018). Social learning in horses—fact or fiction?

• Simons, D. J., & Chabris, C. F. (1999). Gorillas in our midst: sustained inattentional blindness for dynamic events.

• Pfungst, O. (1907). The Clever Hans Phenomenon.

• Xenophon. (c.355 BCE). On Horsemanship.