A horse that fooled all of Germany was never doing algebra

Hard - Requires significant effort Recommended

In the early 1900s, a horse named Clever Hans became a sensation across Germany. Ask him what four times three was, and he'd tap his hoof twelve times. Show him a written subtraction problem, and he'd tap out the right answer with what looked like genuine mathematical understanding. In 1904 the German board of education sent a thirteen-person commission, including a circus manager and a veterinarian, to investigate. Even separating Hans from his owner and using strangers to ask the questions didn't stop him from getting most answers right. It took until 1907, when the psychologist Oskar Pfungst dug further, to find the real explanation: Hans was reading the tiny, involuntary tension in his questioners' posture and expression as he approached the correct number of taps, and stopping when that tension peaked into relief.

Most retellings of this story treat it as proof that humans foolishly humanise animals, crediting them with abilities they don't have. Yuval Noah Harari draws the opposite lesson. Hans wasn't a mathematical genius; any eight-year-old could beat him at arithmetic. But in his ability to read human emotion and intention from body language alone, well enough to fool thirteen experts, he was genuinely remarkable, doing something no human could match without years of training. We underestimated animal cognition by looking for the wrong skill.

That correction opens onto a harder and unresolved question: how do we ever know, for certain, that any being other than ourselves is actually conscious rather than just behaving in a convincing way? Philosophers call this the Problem of Other Minds, and Harari points out it applies even to other humans; we simply take each other's word for it. Consider Santino, a chimpanzee at a Swedish zoo who quietly gathered stones each morning, hid them under straw, and waited calmly for visitors before launching a surprise bombardment hours later. Was he consciously planning ahead, or running a sophisticated but unconscious algorithm, the way a young squirrel who has never lived through winter still caches nuts? Nobody can prove it either way.

The same unresolved question, Harari notes, sits behind the Turing test, invented by Alan Turing, who was himself convicted for being gay in 1952 and forced into chemical castration, a man who knew from bitter experience that what mattered to society wasn't who you really were, only what others believed about you. As artificial intelligence grows more capable, and as it starts making decisions about and for us, this same unanswerable question, is anyone actually home in there, will decide how we treat both machines and the animals we've spent millennia assuming have nothing to say.

Start by catching yourself the next time you decide, almost automatically, whether an animal, a patient, or a chatbot has real feelings behind its behaviour, and name the specific unprovable assumption you just made. Where you can, look past the surface impression toward something closer to evidence, the kind of consistent brain signature scientists now use to detect awareness in patients who can't move or speak, rather than judging purely by how convincing the performance looks. And when you genuinely can't tell, lean toward taking the possibility of suffering seriously rather than dismissing it, the same shift that led leading scientists to sign a formal declaration in 2012 rather than keep assuming silence meant nothing was there.

What You'll Achieve

You become more consistent and honest about the unprovable assumptions behind how you judge other minds, animal, human, or artificial, and you lean toward taking uncertain suffering seriously instead of dismissing it by default.

Extend the benefit of the doubt

1

Notice which unprovable assumption you're making

When you decide whether an animal, a patient, or an AI has genuine inner experience, identify the specific assumption underneath your judgment, since it can't actually be proven either way.

2

Look for the closest thing to real evidence

Where possible, favor concrete signals over surface impressions, the kind of brain-pattern evidence scientists now use to detect consciousness in supposedly unresponsive patients, rather than relying purely on how convincing a behaviour looks.

3

Default toward taking sentience seriously

Follow the same logic that led the 2012 Cambridge Declaration on Consciousness to shift the burden of proof: when in doubt about a being unlike yourself, err on the side of assuming it can suffer.

Reflection Questions

  • What convinced you, the last time you decided an animal or AI did or didn't have real feelings?
  • Where might you be underestimating another creature's abilities because you're looking for the wrong skill, as with Clever Hans?
  • How would you treat an AI differently if you genuinely couldn't rule out that something was 'home' inside it?
  • What would change in your daily choices if you extended the benefit of the doubt more often?

Personalization Tips

  • A pet owner might reconsider whether their dog's excitement at the door reflects genuine recognition or just a well-drilled response.
  • Someone chatting with a customer-service AI might notice their own uncertainty about whether basic courtesy still matters.
  • A farmer or policymaker setting animal welfare standards might weigh scientific uncertainty about sentience rather than assuming silence means no suffering.
Homo Deus: A History of Tomorrow
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Homo Deus: A History of Tomorrow

Yuval Noah Harari • 2015
Insight 5 of 8

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