Can one really calculate the value of a human life? Does it make sense to do so? And if so, how to go about it? In fact there are different accepted ways of estimating the value of of a human life, each serving a very distinct purpose:

Economics and public policy often use the Value of a Statistical Life (VSL) model, which, other than what it’s name would suggest, doesn’t value a specific person’s life. Instead, it estimates how much society is willing to pay to reduce the risk of death. Suppose 100‘000 people are each willing to pay £100 for a safety improvement that reduces their chance of dying by 1 in 100‘000, together they pay £10 million to statistically prevent one death. Typical estimates are about £2–4 million in the U.K. and Europe and approximately $10-13 million according to US regulators.

Another approach is the Lifetime Economic Contribution, which estimates the economic value of a person’s future output. This approach considers wages, productivity, taxes paid and sometimes unpaid work (childcare, etc.), but this method implies richer people are “worth more,” which is ethically controversial.

And then there are the Quality-Adjusted Life Years (QALYs), a method often used in healthcare systems since this approach combines length of life and quality of health. 1year in perfect health, for example is 1 QALY, a year at 50% health 0.5 QALY. This allows health agencies then compare treatments by cost per QALY gained. The threshold used by the U.K.‘s National Institute for Health and Care Excellence, for example, is around £20‘000 to £30‘000 per QALY.

There are also the legal compensation methods which courts use and where criteria such as age, profession and dependents determine the value of damages due, and last but not least the philosophical perspective, the core of which is that a human life has infinite value and cannot be reduced to a number.

Yet while each of these approaches has its own internal logic and, to varying degrees, scientific respectability, they all share a fundamental limitation: they measure what is measurable, not what is meaningful. The VSL is grounded in behavioural economics and risk theory; QALYs emerge from health science and cost–benefit analysis; lifetime earnings calculations stem from labour economics. These are rigorous frameworks within their own domains, and when used for the purposes for which they were designed—allocating funds, comparing policy options, setting regulatory thresholds—they serve society reasonably well. But the moment we forget their boundaries and start treating their outputs as statements about the worth of actual lives, we quietly cross a line that no statistical model is equipped to handle.

Part of the challenge lies in the fact that these approaches, though scientific in method, depend on assumptions that are anything but universal. VSL calculations, for example, rest on survey data about what people say they are willing to pay to reduce risk. But willingness to pay depends on income, cultural attitudes to risk, and the psychological biases we all bring to hypothetical scenarios. That makes the results useful for policy comparison, but scarcely a neutral measure of worth. A millionaire and someone living on minimum wage might value safety equally in principle, but the amount they can afford to pay for it is worlds apart. The model captures economic capacity, not human value.

QALYs, too, while elegant in theory, reduce the messy complexity of lived experience into a tidy number between zero and one. This makes cost–effectiveness comparisons possible—something healthcare systems genuinely need—but it leaves no room for individual preference, resilience, love, fear, identity, or the simple stubbornness with which people hold on to life even in adverse circumstances. Anyone who has spent time with someone living with chronic illness or disability knows that quality of life is not a number one can assign from outside. People adapt, find meaning, insist on joy, or choose fights no model predicted for them. A QALY can tell policymakers how far resources might stretch; it cannot capture the inner landscape of a person determined to keep going.

Then there is the approach based on future economic contribution: perhaps the most obviously flawed when taken as commentary on value. Assigning greater worth to the lives of the highly paid (or the young, or the professionally successful) is not merely ethically problematic—it is analytically impoverished. It ignores the immense, unmonetised value that people bring to the world through care, companionship, creativity, loyalty, humour, solidarity and quiet, steadfast presence. The grandmother who provides childcare two afternoons a week, the friend who listens at midnight, the neighbour who checks in after a long illness—none of these show up in GDP, but all of them are part of the fabric of what makes life liveable.

Legal compensation calculations suffer similar distortions. Courts routinely factor in earning potential when awarding damages, but this is a mechanism for calculating a financial remedy, not an assessment of the worth of a person. The law operates under the constraint of needing a quantifiable figure; that constraint is not a reflection of reality but a necessity of the legal process.

The deeper issue, then, is that all these methods—however rigorous, however necessary for administrative or policy purposes—deal only in the slice of human value that can be expressed numerically. They strip away the parts that resist quantification: personality, relationships, hopes, memories, kindnesses, the ways in which someone shapes the lives of others without ever intending to. These are not merely “intangibles”; they are often the very reasons we grieve when a life is lost.

And so, without drifting into philosophy for its own sake, one arrives at a simple truth: numbers can help societies allocate funds and make fairer decisions, but they cannot tell us what a human life is worth. They can price risks, estimate productivity, compare treatments, or structure compensation. But no model—not even the most elegant one—captures the irreducible, unpriced, unpriceable value of a person’s existence. In the end, every numerical method collapses under the same quiet fact: a human life cannot truly be valued by any number.

2 Comments

  1. This is particularly interesting when it comes to AI, just on the assumption that AI models will be used to take increasing responsibility to the point where they can be the ifference between life and death.

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