We all know the ancient parable of the blind men and the elephant: each man touches a different part of the elephant and becomes convinced he knows the whole animal. One feels the trunk and declares it a snake, another the leg and insists it’s a tree. Each observation is accurate, but each conclusion is deeply incomplete.
Veterinary medicine often falls into the same trap, not because of a lack of care but because of training to look closely. In a world where disease emerges from the interactions of nutrition, immunity, environment, behavior and management, the old parable reminds us the truth isn’t found in any single part. It’s found in the relationships between them.
Why Looking Closely Isn’t Enough
Pattern recognition is one of our greatest strengths. You learn to see classic presentations and link them with a diagnosis. For example, ketosis in a fresh cow or BRD in a calf with a cough.
But disease rarely lives in one organ system or one management practice. A narrow focus can deceive us. We might fixate on the ‘tusk’ because it looks sharp and obvious, while missing the constellation of forces actually driving the animal’s response.
Examples crop up everywhere:
- A dairy lameness problem blamed solely on digital dermatitis, when the root cause is chronic wet bedding, poor ventilation and subtle changes in stocking density.
- A calf barn respiratory outbreak attributed to infectious bovine rhinotracheitis, when the real sequence of events begins with colostrum quality, followed by fluctuating ventilation, then a weather front that pushes calves over the edge.
- A feedlot dip in performance linked solely to a ration change, when heat stress, water access, bunk competition and handling stress created a cascade of interacting pressures.
Each diagnosis contains a piece of truth, but each is incomplete when treated in isolation.
Systems Thinking: Looking Between the Parts
Systems thinking is the discipline of understanding how elements interact to produce outcomes. It challenges us to stop asking what caused this and start asking how these factors combined to create this situation.
Dr. Brian Vander Ley of the University of Nebraska-Lincoln recently spoke on the topic.
“Systems thinking is actually a derivative of a field called ‘systems dynamics,’ which is a highly mathematical modeling field that’s used to predict the behavior of systems based on components in the system and relationships,” Vander Ley explains. However, systems thinking takes out the math component. “It’s a set of tools, processes and principles that enable us to focus on the relationship between parts of the system and not just some of the parts themselves.”
A system isn’t just a list of components. It is:
- The feedback loops between nutrition and immunity
- The way ventilation interacts with pathogen load
- How handler behavior influences stress physiology
- How management timing affects microbial dynamics
- How one week’s decisions become the next month’s disease patterns
The iceberg analogy fits here too: What we see in the cow is only a small fraction of what’s really happening. The larger drivers of disease sit below the surface and remain invisible unless we deliberately go looking for them.
The heart of systems thinking is recognizing that diseases are rarely linear. They are networked. They emerge not from one factor but from several interacting simultaneously, sometimes amplifying, sometimes buffering each other.
In other words, the elephant is not just trunk + tusk + leg + ear. The elephant is the relationships that connect those parts into a living organism.
The Veterinarian as a Systems Navigator
Veterinarians already intuitively use systems thinking. You’re constantly piecing together physiology, environment and behavior. The challenge is doing it intentionally rather than incidentally.
This means asking broader questions:
- Where did the system fail and why?
- What feedback loops are reinforcing the problem?
- Which variables are upstream versus downstream?
- What invisible pressures are shaping what I can see?
- What happens if one part of the system changes?
When we ask these questions, we stop thinking like the blind men — competing diagnoses based on isolated observations — and start thinking like systems analysts, integrating multiple perspectives into a coherent picture.
This is also dependent on communication within the animal care team.
“Communicating about it is really important, because we are really sure about our own experiences. When I go out and collect data with my own hands and my own eyes, I’m very confident in that data, and when I see information that’s very different, I tend to disregard that information,” Vander Ley says. “We want to engage in a kind of communication that allows us to appreciate that we’ve got different pieces of the elephant in hand.”
Having an open dialogue between owners, producers, veterinarians and academics allows for a broadened perspective for understanding what the problem is.
Case Example: Reframing a ‘Simple’ Mastitis Problem
Take a herd with climbing somatic cell count and increased clinical mastitis cases. A parts-focused approach might look at:
- Teat-end condition
- Milking protocols
- Bedding
- Culture results
A systems approach goes further:
- How has cow flow changed through the parlor?
- Are fresh cows being mixed too early?
- Has ration moisture affected rumen health and lying time?
- Are staff changes altering consistency in milking prep?
- Has heat stress reduced rumination and immune resilience?
- Are equipment cleaning routines changing due to workload?
Suddenly, the rising cell counts are no longer an udder health issue but a system problem — a signal, not a cause.
Stepping Back to See the Elephant
The parable of the blind men isn’t merely about limited perspectives; it’s about the illusion of certainty that comes from seeing only one piece of a larger, interconnected whole.
Veterinarians do some of their best work up close: palpating, listening to internal sounds, evaluating subtle signs. But the greatest diagnostic breakthroughs often come when we deliberately widen our view and consider not just the parts but the interplay between them.
Systems thinking doesn’t replace traditional diagnostic skills, it evaluates them. It turns isolated observations into meaningful patterns. It turns symptoms into stories. It turns disease into a map we can navigate instead of a puzzle we must solve.
In the end, seeing the ‘elephant’ means seeing not just the cow or the herd but the interconnected ecosystem that shapes every outcome.
