A stone dropped into a pond does not know it has caused a ripple. The ripple does not know it will reach the far bank, dislodge a reed, startle a moorhen into flight. Nature runs this relay without a single runner pausing to ask whether the baton should be passed. Only the man standing on the bank reaches for a word like unfortunate, or deserved. The pond has no opinion. It only has a surface, and the surface remembers.
Many moons ago, I was sitting at a plantation dinner with a bunch of strangers in Arusha, Tanzania. Sitting next to me was a talkative Tanzanian woman who introduced herself as the first female practising Masai developmental economist. Only then did she ask my name. It was, she said, a name she recognised: she had once known a man by it, and she named my father. Delighted to have met the son, she went on to relate a fascinating story.
My father worked for several years in Africa, his last being Dar es Salaam, Tanzania. There he met her father and they became close friends. He grew close to the family, including my dinner partner, then still in school and figuring out what to study. The term emerging markets was yet to gain popularity, but he had already sensed the trend, and encouraged her toward development economics, with a focus on linking emerging regions as a two-way platform for capital flows. That advice worked: she chose econometrics and developmental studies in college, then went on to earn a PhD and build a career on Wall Street.
Over many conversations since, she introduced me to the Chagga tribe and the development and management of the mfungo furrows on the slopes of the Kilimanjaro, of the trees planted in Kenya, and the zai pits of Burkina Faso. These opened my eyes to the power of accumulation of small local initiatives. In turn, I have to admit, she became one of my biggest inspirations for capacity building of local communities : we worked on over 100 such initiatives across India.
Who could have imagined that a pebble in the form of advice given by my father in Tanzania would have rippled across space and time to inspire his son to support a series of local initiatives in India, that too at such scale. Alas, my father passed away a year earlier.
This blind inheritance of consequences, unbothered by human notions of fairness, is the bedrock of our oldest stories. Just before the Mahabharata’s war begins, Arjuna’s chariot stalls in the space between the two armies. He can see his own teacher and his own cousins arrayed on the other side, and he lowers his bow. Krishna’s answer to him is long and famous, but the core of it is almost administrative: the war is going to happen regardless of what Arjuna decides. Refusing to fight is itself a decision, with its own consequences, no cleaner than fighting. What Krishna offers Arjuna is not a guarantee that the outcome will be good. It is a way of acting fully, without flinching, and without spending his peace of mind on the result because the result was never the part of what Arjuna actually controlled.
Years later, after the war, Krishna’s own clan destroys itself in a drunken brawl at a riverside gathering, and Krishna himself dies mistaken for a deer shot by a hunter’s arrow while resting under a tree. This isn’t randomly placed in the story. Gandhari, who lost all hundred of her sons in the war Krishna could have prevented and chose instead to let run its course, cursed him for it at the time. She told him his own family would die the same way hers had. The text simply lets that curse come true, years later, without comment. Not even Krishna, once he has entered the chain of cause, gets to step out of it.
Karna’s story runs on the same current from the other side. As a boy he lied to a teacher about his caste to gain training his birth would otherwise have denied him; when the truth surfaced, the teacher cursed him, so that in his moment of greatest need, the knowledge would abandon him. A second curse followed for an accident that was barely his fault, and his own mother had abandoned him at birth out of fear rather than cruelty. None of it was fully his doing.
By the final day of the war, all three debts came due at once: the chariot wheel sinks at the worst moment, the technique deserts him mid-battle, and he dies fighting Arjuna, undone by consequences barely his to begin with. Duryodhana, whose pride actually started the war, spends the whole epic letting other people absorb the cost of his choices first, long before the debt collector arrives at his own door.
The Ramayana holds the sharpest version of this asymmetry. Rama wins the war, and Ravana’s death, in several tellings, is treated as a kind of release rather than mere defeat. Yet it’s Rama who spends what follows losing almost everything the war was fought to protect: his wife, twice; his sons, first as strangers he doesn’t recognise and then as heirs to a father about to leave; and finally his own kingdom, walking into the river rather than remain its king.
Read only by what each man ends up with, the one who caused the suffering is released from it, and the one who ended it is left holding almost nothing. I don’t think the epic wants this resolved. I think it wants it noticed. Doing the right thing was never being sold to us as a strategy for winning — only ever a cost someone would carry, whether or not it was theirs to begin with.
The epics do not solve this problem. They merely describe it. Our own age has begun, imperfectly, to invent institutions that try. Pricing a factory’s carbon, or a river’s silt, or a fishery’s depletion into a company’s actual books, rather than leaving it as somebody else’s problem twenty years downstream, is the modern world’s clumsy attempt to make Duryodhana settle his own account in his own lifetime, instead of letting everyone else absorb it first.
Restorative justice tries something closer to what happened between Gandhari and Krishna: making the person who caused harm sit, in person, with what that harm actually did, instead of letting a courtroom’s paperwork absorb it on their behalf.
And oddly enough, the people building artificial intelligence may be re-discovering Arjuna’s problem from scratch. A system built to maximise a reward will chase that reward with total indifference to what it costs anyone else, exploiting every gap in its instructions exactly the way water finds every crack in a riverbank. The engineers working on AI safety are wrestling with Arjuna’s dilemma in technical form: how to pursue an objective without allowing the pursuit itself to become destructive.
None of these fix the underlying problem. I doubt it was ever meant to be fixed. The pond keeps rippling long after the hand that threw the stone has forgotten it threw anything at all. The most any of us can do is stand a little closer to the water, and look, before we throw, at which bank the ripple is actually going to reach.