Mathematician Bill Thurston (1946-2012), in response to a question from a person worried about not being able to contribute to math at the "highest level", writes movingly and insightfully about:

- contributing to humanity and the world
- people as social and instinctual animals, not abstract intellects
- clarity and understanding as the crucial products of mathematics
- the importance of communicating ideas, not just inventing them
- the centrality of community

Thurston's brief essay, posted in 2010 and referenced by mathematician Emily Riehl, in its entirety is:

It's not

mathematicsthat you need to contribute to. It's deeper than that: how might you contribute to humanity, and even deeper, to the well-being of the world, by pursuing mathematics? Such a question is not possible to answer in a purely intellectual way, because the effects of our actions go far beyond our understanding. We are deeply social and deeply instinctual animals, so much that our well-being depends on many things we do that are hard to explain in an intellectual way. That is why you do well to follow your heart and your passion. Bare reason is likely to lead you astray. None of us are smart and wise enough to figure it out intellectually.The product of mathematics is clarity and understanding. Not theorems, by themselves. Is there, for example any real reason that even such famous results as Fermat's Last Theorem, or the Poincaré conjecture, really matter? Their real importance is not in their specific statements, but their role in challenging our understanding, presenting challenges that led to mathematical developments that increased our understanding.

The world does not suffer from an oversupply of clarity and understanding (to put it mildly). How and whether specific mathematics might lead to improving the world (whatever that means) is usually impossible to tease out, but mathematics collectively is extremely important.

I think of mathematics as having a large component of psychology, because of its strong dependence on human minds. Dehumanized mathematics would be more like computer code, which is very different. Mathematical ideas, even simple ideas, are often hard to transplant from mind to mind. There are many ideas in mathematics that may be hard to get, but are easy once you get them. Because of this, mathematical understanding does not expand in a monotone direction. Our understanding frequently deteriorates as well. There are several obvious mechanisms of decay. The experts in a subject retire and die, or simply move on to other subjects and forget. Mathematics is commonly explained and recorded in symbolic and concrete forms that are easy to communicate, rather than in conceptual forms that are easy to understand once communicated. Translation in the direction conceptual → concrete and symbolic is much easier than translation in the reverse direction, and symbolic forms often replace the conceptual forms of understanding. And mathematical conventions and taken-for-granted knowledge change, so older texts may become hard to understand.

In short, mathematics only exists in a living community of mathematicians that spreads understanding and breathes life into ideas both old and new. The real satisfaction from mathematics is in learning from others and sharing with others. All of us have clear understanding of a few things and murky concepts of many more. There is no way to run out of ideas in need of clarification. The question of who is the first person to ever set foot on some square meter of land is really secondary. Revolutionary change does matter, but revolutions are few, and they are not self-sustaining – they depend very heavily on the community of mathematicians.

*(cf Mathematical Magic (2001-09-27), Millennium Math (2002-12-05), Proofs and Refutations (2004-06-24), Stokes Theorem (2006-01-27), The Unreasonable Effectiveness of Mathematics (2008-02-17), Roads to Infinity (2010-10-06), Greatest Inventions (2011-06-09), Music of the Primes (2011-08-11), Simplicity via Abstraction (2016-01-27), Ultimate Abstraction (2017-08-24), Many Worlds of Math (2019-03-15), Painfully Difficult Beautiful Ideas (2019-08-06), ...)* - * ^z* - 2020-09-03