When Compassion is Calculated: How Mass Suffering is Ignored
Imagine that you are driving at night in a remote area while it is snowing. A sudden breeze pushes you out of control, sending you into a ditch and you're unable to escape. You have no signal on your phone. However, a tow truck driver sees you and offers refuge: they'll take you safely to shelter and fix your car. But there's a catch...they want to charge you $80,000. You have no other options: you can stay out there and most likely freeze to death, or you're forced to pay them for their lifesaving service.
This is the choice that many patients make each day. Through no fault of their own, while living in the wealthiest nation in the world, they are extorted to pay hefty prices they can't afford in order to get the prescription drugs they need to survive.
There's a chilling quote often misattributed to Stalin: "The death of one is a tragedy, the death of a million is a statistic." Even more chilling is that research suggests it is accurate.
The Science of Looking Away
Paul Slovic, a professor at the University of Oregon, spent years studying why we respond so inadequately to mass suffering. His findings are as fascinating as they are disturbing: our minds aren't equipped to respond proportionally to large-scale tragedies.
In one experiment, Slovic presented people with a choice: donate to save one child dying of cancer, or donate to save eight children dying of cancer. Rationally, we should care more (and give more) to save eight lives. But people were willing to give more money to save one life than to save eight.
In another study following the Rwandan genocide, volunteers were more reluctant to divert resources to save 4,500 lives in a large refugee camp than the same number of lives in a small camp. The absolute number of lives saved remained constant, but compassion diminished as the scale increased.
Perhaps most troubling: when asked to allocate $10 million between two diseases, people preferred saving 10,000 lives (50% of victims) from one disease over saving 20,000 lives (7% of victims) from another. We respond not to lives saved, but to the percentage of lives saved.
Ethical Fading and the Persistence of Preventable Suffering
This psychological quirk helps explain what business ethicists call "ethical fading," or the process by which moral dimensions of decisions become obscured. When pharmaceutical companies raise the price of insulin from affordable to astronomical, they're not making decisions about individual patients. They're optimizing revenue models, managing shareholders, hitting quarterly targets. The suffering becomes statistical.
This is why ethical fading is so persistent in our society. We celebrate pharmaceutical breakthroughs which are genuine achievements that save lives. But we've also normalized business models that make those inventions inaccessible to the people who need them most. We know these financialized systems compel morally unethical behavior: price gouging for lifesaving medications, prioritizing profitable treatments over needed ones, pursuing patent strategies that delay generic competition.
The scale of the problem actually protects it from scrutiny. As Slovic notes, when we trust our feelings in these cases, we turn our backs on the suffering of many people. Millions of Americans rationing or forgoing prescriptions becomes a policy debate, an economic indicator, a political talking point. But for many people who are at the centers of these debates, it is not a tragedy. In fact, some are even downright smug about it and use statistics like "90% of prescriptions filled are generic" in order to obscure the fact that they only comprise 13% of drug costs. The most critical medicines that treat the many of the most serious diseases are often under patent - and like the tow truck driver - are in a position to be the only lifeline a person has.
The same pattern repeats in the Global South, where preventable diseases claim millions of lives annually because treatments aren't profitable enough to pursue or distribute. We frame "progress" by celebrating medical advances in wealthy nations while accepting vast inequality in access as an unfortunate but inevitable feature of the system.
Breaking Through the Statistical Haze
Slovic's research suggests something profound and uncomfortable: our moral intuition is not designed by evolution to respond accurately to situations of mass tragedy. Our compassion doesn't scale. The more people who suffer, the less we feel.
But recognizing this bias is the first step to overcoming it. When we see pharmaceutical pricing not as abstract market dynamics but as millions of individual people facing an impossible choice (they must pay the ransom or die), the ethical dimensions become harder to fade away.
The question isn't whether we can solve every problem. It's whether we're willing to acknowledge that statistical suffering is made up of individual tragedies, each one as real as that single person stranded in the snow.
John Green often reminds us that over one million people every year die from tuberculosis, a preventable disease that we have discovered the cure for fifty years ago. These are deaths that could be avoided with better access to diagnosis, treatment, and healthcare infrastructure, particularly in low-income countries.
Each time that we allow self-professed intellectuals to frame the debate with their misleading figures - to treat people as statistics - we allow a bit of ethical fading to occur ourselves. Remember, those who fight the hardest to protect the status quo benefit the most from it. At what point will we allow our values to fade so much that we ourselves become a statistic: yet another person who allows compassion to be calculated and suffering to be ignored?