Did you read Hard Times, one of Charles Dickens’ many great novels?
I’m sure I did…but that was decades ago. There is a character I remember from this classic 1854 novel: Thomas Gradgrind. What a great name. Dickens was brilliant with names – Wackford Squeers, Uriah Heep, Scrooge.
Now, Gradgrind is a square-shaped, bald-headed, hardnosed school superintendent, who lives by the philosophy that facts are the only measure of reality.
Early in the story, he asks a young girl named Sissy to define what a horse is. Now, Sissy grew up around horses. She knew how they moved, how they reacted, and how to care for them.
But she could not produce the answer Gradgrind wanted.
Another student, Bitzer, replies:
“Quadraped. Graminivorous. Forty teeth, namely twenty-four grinders, four eye teeth, and twelve incisors.” He goes on to explain the qualities of its coat, hooves and mouth.
Gradgrind is satisfied. ”Now,” he says to the young girl,” you know what a horse is.”
But Sissy knew horses far better than anyone in the room. Bitzer only knew measurable facts about horses, but not the full measure of a horse.
This is a useful warning for the age of AI.
AI systems are built from data. Data reflects what people choose to record, label, count, and compare.
The danger begins when we assume what is measurable is also what matters most.
Learning becomes test results.
Health becomes a step count.
Customer service becomes call length.
The numbers are not necessarily wrong.
The more important question is whether we measured the right thing.
Critical thinking asks:
What are we trying to understand? Why did we choose this measure? What does it leave out?
Does the measure reflect reality, or only the part of reality that was easy to count?
AI gives us more data, more patterns, and more precise predictions.
That makes critical thinking more important, not less.
Before we trust the answer, we need to examine the measurement behind it.
Bitzer could describe the horse. Sissy understood the horse.
The difference begins with asking whether we measured what truly mattered.
And if you read another classic novel, Le Petit Prince, or The Little Prince by Antoine de Saint-Exupéry, then you know that measuring what matters is a challenge. As the fox said just before parting with the Little Prince,
“…here is my secret, a very simple secret: it is only with the heart that one can see rightly; what is essential is invisible to the eye.”
