The Limitations of Explanation

Series: The Return Equation

Throughout this series, I have attempted to answer a deceptively simple question: why do talented people leave one country for another? Financial incentives, career opportunities, education, institutions, family, quality of life, and identity each explain part of the story. Together, they form a useful framework. Yet every framework, no matter how comprehensive, eventually encounters the same limitation. Human beings refuse to fit neatly within it.

Statistics are among the most powerful tools available for understanding migration. They reveal patterns across millions of people, identify long-term trends, and allow meaningful comparisons between countries. Without them, discussions surrounding migration would amount to little more than anecdotes. Yet statistics possess an inherent limitation. They describe populations, not individuals. Every statistic tells the truth. It simply never tells the whole truth.

Consider two engineers graduating from the same university. They possess similar qualifications, receive comparable job offers, and share remarkably similar financial circumstances. One decides to remain in India. The other leaves. From a statistical perspective, both belong to the same category. From a human perspective, they may have arrived at entirely different conclusions. One values remaining close to ageing parents. Another prioritises research opportunities unavailable at home. One dreams of building a company in India. Another seeks international experience before eventually returning. A fourth may never intend to return at all. None of these decisions contradict the statistics. They simply exist beyond what statistics are capable of explaining.

Every migration is ultimately an optimisation problem. The variables are remarkably similar: income, career opportunities, family, education, healthcare, lifestyle, identity, security, purpose, and personal ambition. What differs is not the variables themselves, but the weight assigned to each of them. Financial security may outweigh everything else for one individual. Another may willingly sacrifice income to remain close to family. A researcher may prioritise access to world-class laboratories, while an entrepreneur values the freedom to build something new. The equation changes because people do.

This also explains why discussions surrounding brain drain often become unnecessarily polarised. Migration is frequently portrayed as either a national failure or an unquestionable personal success. Reality rarely conforms to either interpretation. Every country offers opportunities that another cannot. Every country demands sacrifices that another does not. Choosing where to build a life is less about discovering the perfect country than deciding which imperfections one is willing to accept.

Recognising these limitations does not diminish the importance of understanding migration. On the contrary, it reinforces it. Broad patterns still matter because governments formulate policy around populations rather than individuals. Better universities, stronger research ecosystems, transparent institutions, improved cities, and expanding economic opportunities all increase the likelihood that talented people will choose to remain or return. They improve the framework within which millions of individual decisions are made. They simply cannot determine every decision.

Perhaps that is the most important conclusion of all. Migration should never be reduced to a single cause, just as it should never be reduced to a single solution. It exists at the intersection of economics, psychology, family, ambition, identity, circumstance, and chance. Any explanation that claims to capture the entire picture will almost certainly fall short.

Every framework simplifies reality. That is precisely what makes it useful. But usefulness should never be mistaken for completeness.

Every statistic is entirely correct—and still hopelessly incomplete.

Behind every migration statistic is a person weighing aspirations against attachments, certainty against possibility, and the future against the familiar. Economies will rise and fall. Governments will change. Industries will emerge and disappear. The patterns will evolve, but the questions facing individuals will remain remarkably constant.

Perhaps the search was never for a universal answer. It was for a better question.

Every migration begins with statistics. Every migration ends with a person.