1. Reframing the field problem

The recurring equestrian problem is not simply a shortage of facts. Facts do not interpret themselves.

The equestrian is simultaneously observer, participant, decision-maker, and source of cues, which means the human interpreter becomes part of the system being evaluated. Human perception is not a transparent readout of reality: attention is selective, confidence can be poorly calibrated, prior beliefs shape what evidence is persuasive, and dissonance creates pressure to preserve a coherent self-concept (Simons & Chabris, 1999; Kruger & Dunning, 1999; Kunda, 1990; Festinger, 1957; Festinger & Carlsmith, 1959).

This makes the hardest professional requirement unusually personal. Experience, identity, reputation, tradition, and affection for the horse may all be meaningful, but none is evidence that an interpretation is correct. Good intent does not immunize an explanation from error. A rider can care deeply, act sincerely, obtain the desired performance, and still misunderstand why the behavior occurred.

Xenophon’s horsemanship tradition supplies the historical frame: externally correct performance can be produced under compulsion without establishing the form of understanding the observer may attribute to it (Xenophon, c.355 BCE; Project Gutenberg, n.d.). Morgan’s Canon supplies the analytic complement: explanations should not exceed what simpler behavioral mechanisms can justify (Morgan, 1894). The governing standard is therefore not whether an explanation feels plausible or preserves the rider’s self-concept, but whether it survives comparison with the evidence.

2. Classical and historical boundary conditions

This framework is reinforced by two historical anchors:

• Xenophon’s practical warning: correct movement produced by compulsion is not, by itself, evidence that the horse possesses the cognitive interpretation attributed to the movement.
• Clever Hans: accurate and impressive animal responses can be organized by subtle human signaling while observers mistakenly attribute a more complex capacity to the animal (Pfungst, 1907).

Together with Morgan’s Canon, these anchors establish an enduring epistemic boundary: visible performance is evidence of behavior. It is not direct proof of the mental explanation attached to that behavior. Mechanism remains primary unless additional evidence justifies a more specific interpretation.

2.1 Human cognitive domain

Interpretation begins with the rider’s own cognitive architecture:

• selective attention constrains what enters awareness and what is missed (Simons & Chabris, 1999),
• metacognitive limits can separate confidence from actual accuracy (Kruger & Dunning, 1999),
• motivated reasoning and cognitive dissonance can make revision more difficult when evidence threatens an established belief, identity, or moral self-concept (Kunda, 1990; Festinger, 1957).

Empathy is not exempt from these mechanisms. In human social cognition, functional empathy requires self-other distinction rather than simple projection of the self into another’s position (Decety & Lamm, 2006). In equestrian work, that distinction must become species-aware. The question is not merely, “How would I feel if I were the horse?” but, “What does this horse’s behavior, physiology, learning history, and context support as the best explanation?” This paper uses the term decentered empathy for that discipline: concern for the horse without using the rider’s own emotions, identity, or narrative as the evidentiary model of the horse’s state. The practical test is whether concern for the horse remains primary when evidence threatens the rider’s self-concept. If an interpretation must preserve “I am competent,” “I am kind,” or “this has always worked,” empathy has become entangled with identity rather than constrained by the horse.

2.2 Human social and institutional domain

Equestrian beliefs are not formed in isolation. They are learned inside systems of authority, coaching, competition, and group membership. Cultural learning can stabilize socially acquired practices (Claidière & Whiten, 2012), while equestrian research shows that trainers and coaches strongly influence what riders learn to regard as normal from childhood onward (Cheung, Mills & Ventura, 2025; Ross et al., 2025).

Lubelska-Sazanów (2024) places power, competition pressure, emotion, and cultural repetition within the ethical problem of equestrian sport. That article is an interdisciplinary law-and-ethics argument rather than an empirical study of equestrian behavior, but later equestrian research provides stronger empirical support for important parts of the proposed mechanism: enculturation, cognitive dissonance, cultural contradiction, resistance to outside criticism, and the influence of successful insiders and institutional role models (Cheung, Mills & Ventura, 2025; Cheung, Mills & Ventura, 2026; Ross et al., 2025).

This domain also changes how intent should be treated. Intent may matter morally or legally, but it is not a causal explanation and cannot substitute for mechanism. Human behavioral literacy asks what authority, incentives, social reinforcement, identity protection, and environmental conditions predict— not merely what an individual or institution says it intended. Hogg & Hodgins (2021) and Luke et al. (2024) further demonstrate how competitive, relational, and goal-directed priorities can coexist in ways that complicate simple narratives of care.

2.3 Equine behavioral domain

Horses are sentient, perceptive, cognitively capable animals whose behavior reflects evolution, sensory processing, learning, memory, reinforcement history, and context. They can discriminate, associate, anticipate, adapt, and learn contingencies (Rørvang et al., 2018; McGreevy, 2007). None of this justifies treating every complex response as evidence of the human-like conceptual, moral, or narrative interpretation an observer may attach to it.

A horse can perform reliably because cues and contingencies have shaped behavior without possessing the explanation the rider supplies. Conversely, continued performance does not prove the absence of conflict, discomfort, or other adverse effects. Practical competence therefore requires species-appropriate behavioral language and a disciplined separation between what the horse did, what conditions preceded and followed it, and what mental state the human infers.

The horse is a particularly unforgiving test of explanatory quality because it does not validate the human narrative. It responds to the conditions actually present.

3. Inferential synthesis from the provided evidence

The seven-step mechanism below is an integrative synthesis, not a single experimentally demonstrated causal sequence:

1. Authority shapes initial adoption of practice norms.
2. Enculturation through trainers, coaches, peers, and institutions establishes what is treated as normal.
3. Repetition makes inherited practices familiar and can reduce the salience of anomalies or discomfort.
4. Desired outcomes, competitive success, and recognition reinforce both the practice and the explanation attached to it.
5. Cognitive dissonance emerges when care values conflict with observed consequences or new evidence.
6. Reframing, minimization, justification, moral disengagement, or identity-protective reasoning can preserve the existing interpretation.
7. Successful insiders and institutions retain epistemic authority, dissent can become costly, and the normalized practice is transmitted to the next cohort.

This chain is a synthesis from converging findings, not a claim that one study has experimentally proven all seven steps. That distinction should remain explicit. The synthesis is nevertheless strongly supported by the combination of equestrian-specific qualitative and ethnographic findings on enculturation, cognitive dissonance, moral disengagement, coaching authority, institutional influence, competitive priorities, and cultural transmission (Cheung, Mills & Ventura, 2025; Cheung, Mills & Ventura, 2026; Ross et al., 2025; Luke et al., 2024; Hogg & Hodgins, 2021).

The governance implication follows directly: once competitive institutions and high-status participants help determine what is rewarded, admired, copied, and defended, what the horse experiences cannot be reduced to the isolated morality of an individual rider. The institution is part of the learning environment (Ross et al., 2025).

4. Dual reality and the danger of conflation

A robust interpretive standard differentiates:

• Behavioral and biological reality: what can be observed, measured, and repeatedly demonstrated in the horse and the conditions acting on it.
• Interpretive and institutional reality: what humans believe, reward, communicate, normalize, and claim the behavior means.

These realities interact, but they are not interchangeable. A coherent human explanation can be culturally stable and institutionally rewarded while remaining weakly supported at the mechanism level.

Likewise, a horse’s continued compliance can be socially interpreted as willingness, partnership, or understanding without those labels having been independently demonstrated.

Empathy is a critical boundary test between the two. Self-referential concern can still motivate care, but it is not sufficient for accurate cross-species understanding. Decentered empathy requires the human to preserve concern while surrendering the assumption that the horse’s experience is best explained through the human self.

5. Standards for credible equestrian claims

The framework requires claim review through two complementary tests:

• Statistical validity: whether the observed effect is robust enough to withstand plausible explanations based on chance, selection, measurement error, or confounding.
• Relational or mechanistic validity: whether the proposed explanation genuinely maps onto the behavior or consequence being claimed, rather than merely accompanying a successful outcome.

A defensible claim should make the inferential chain visible: observation → interpretation → proposed mechanism → conclusion about the horse or its performance. Each step should be capable of revision. This prevents persuasive testimony, status, repeated success, or sincere belief from being mistaken for mechanism-level evidence (Morgan, 1894; Cheung, Mills & Ventura, 2025).

6. Governance and implementation implications

The institutional implications are practical rather than abstract. FEI Sports Forum discussions in 2026 explicitly addressed data-driven welfare, behavior change, education versus regulation, behavioral and mental dimensions of fitness to compete, scientific evidence, public perception, and feedback systems intended to improve outcomes (International Alliance of Equestrian Journalists, 2026a, 2026b). Those developments are consistent with a mechanism-first direction, but they also expose the central limitation of data: more data cannot correct interpretive error if the categories used to collect, classify, reward, and explain that data remain unexamined.

Ross et al. (2025) make the governance issue especially consequential by identifying governing structures, FEI-affiliated competition, judging, and elite role models as influences on the norms within which riders and coaches operate. Institutions therefore do more than regulate behavior after it occurs.

They participate in teaching the field what counts as successful, acceptable, normal, and worth reproducing.

Professional and public-facing implementation should therefore include:

• documentation that distinguishes observation, interpretation, proposed mechanism, uncertainty, and outcome,
• protected dissent and anomaly-reporting pathways for riders, caregivers, professionals, and workers,
• education in attention limits, belief formation, dissonance, self-other distinction, and species-specific equine behavior,
• competitive and policy review criteria that assess explanatory quality and correction capacity, not only visible outcomes or institutional continuity.

The governing principle is simple: a competent system must be capable not only of producing results, but of detecting when its own explanation of those results is wrong.

7. Why this is not a blame framework

The model examines recurrent misinterpretation among equestrians, coaches, officials, and institutions. The point is more difficult: sincere care and technical ability can coexist with recurrent misinterpretation because the relevant cognitive processes operate in ordinary human beings (Festinger, 1957; Kunda, 1990; Cheung, Mills & Ventura, 2025). The 2026 work by Cheung, Mills & Ventura further shows how perceived threats to moral self-identity and group identity can contribute to resistance, polarisation, and moral disengagement.

Removing blame from the mechanism does not remove accountability from the outcome. It improves accountability by identifying where correction is possible. A mechanism-first framework asks what conditions produced the behavior, what evidence was missed, what interpretation was protected, and what must change to reduce recurrence. It does not require a confession of bad character before learning can occur.

This is also why empathy must be separated from self-concept. “I love horses” and “I would never intentionally harm a horse” are statements about the human. They do not, by themselves, establish what the horse experienced or whether the human interpretation was accurate. Horse-centered empathy begins where the need to preserve those statements as proof ends.

8. Conclusion

True equestrian competence begins when the equestrian accepts that understanding the horse also requires understanding the human mind doing the understanding. The rider must become competent in three inseparable domains: the formation and distortion of one’s own beliefs, the predictable behavior of other humans and institutions, and the species-specific behavioral mechanisms of the horse.

The hardest part is not acquiring another technique. It is learning to examine belief itself. A belief can be sincere, experienced, culturally reinforced, emotionally important, and still be wrong. Xenophon, Morgan’s Canon, Clever Hans, and the contemporary equestrian literature converge on the same professional discipline: performance is not explanation, confidence is not accuracy, care is not proof, and intent is not mechanism.

Empathy is therefore not the projection of the self into the horse. It is the capacity to remain concerned for the horse while allowing the horse’s actual biology and behavior to disconfirm the human narrative.

The future of high-integrity equestrian practice lies in mechanism-first interpretation, decentered empathy, transparent claim testing, and institutions that reward correction as strongly as they reward performance.