All essays
On IntelligenceEssay5 min read

Intelligence Is Not a Scalar

The moment we agreed intelligence could be ranked on a single line, we agreed to be ruled by whoever sat highest on it.

Vatsal Gaonkar·

There is a quiet violence in the phrase 'more intelligent.' It assumes a single axis, a ladder everyone is climbing, a top. In the work of evaluating people and systems — which I have done for most of my career — I have watched that assumption do real damage. Almost nothing important about a mind reduces to a point on that ladder, and yet the ladder is how we distribute authority, funding, and trust.

A scalar is a number with magnitude and nothing else — no direction, no dimension, no context. To treat intelligence as a scalar is to insist that every mind can be placed on one line, and that the only meaningful question about two people is which of them sits further along it. We rarely say this aloud, because said aloud it sounds absurd. But we build institutions on it — admissions tests, hiring funnels, benchmark leaderboards — and institutions say what we are too polite to.

The instruments, not the ladder

The peasant who reads the weather in the sky and the theorist who reads it in equations are not two rungs of the same ladder. They are different instruments, tuned to different worlds. Collapse them into a ranking and you have not measured intelligence. You have merely decided whose world counts.

I have made this mistake and paid for it. Early in my career I would have ranked a room of colleagues confidently, top to bottom, by how quickly they could manipulate a model. Years later I watched some of the people I had quietly placed near the bottom of that list save projects that the people at the top had confidently steered toward a cliff. Their intelligence had not been low. It had been pointed in a direction my ladder could not measure — toward patience, toward doubt, toward the unglamorous question no one else would ask.

This is not a romantic point about honoring folk wisdom. It is a structural one. Intelligence is better understood as a vector — a bundle of capacities pointing in many directions at once: pattern recognition, patience, the tolerance of ambiguity, the sense of when a problem is not yet worth solving. Two people with identical 'magnitudes' can point in nearly opposite directions and be useless at each other's work. The single number hides everything that made the comparison worth making.

Every ranking of minds is, underneath, a ranking of what we have already chosen to care about.

Why the fiction persists

If the scalar is so obviously false, why does it hold? Because it is convenient for whoever is doing the sorting. A single line makes allocation easy. It lets a committee compare a thousand applicants without confronting the incommensurable, lets a market price a mind, lets a benchmark declare one system the winner. The ladder does not survive because it is true. It survives because it is administratively cheap, and cheapness, once institutionalized, is very hard to dislodge.

The cost is paid quietly and by other people. Every genuinely different way of thinking — the slow one, the lateral one, the one that asks the unwelcome question — gets read as a lower position on the shared line rather than as a different line entirely. We do not just fail to reward these minds. We fail to notice they were minds at all.

The correction is not to abandon judgment. We do have to choose, to hire, to trust some reasoning over others. It is to keep the choosing honest — to admit that when we rank, we are not discovering an order that was already there. We are imposing one, in the service of something we have decided to value. Naming that value is the beginning of intelligence about intelligence. Pretending the ladder is natural is where we stop thinking.

Written by

Vatsal Gaonkar

Finance & AI Transformation Advisor · Oracle ACE Director

Vatsal Gaonkar is a Finance & AI Transformation leader with more than two decades spent aligning people, process, and technology. An Oracle ACE Director and advisor to C-suite executives, he writes about Autonomous Finance, agentic AI, and what he calls Abundance-Based Leadership and the Infinite Improvement mindset — treating innovation as a journey rather than a destination.

Connect on LinkedIn

Keep reading Volantis

A new essay every week. No noise, no ads — just the argument.