Researcher in Non-EA Fields or Donate $100k/Year to EA? — LessWrong Debates Career Impact

A post on LessWrong by a user named 'Master Chief' lays out a career dilemma familiar to many in the Effective Altruism community: become a professor/researcher working on neglected but non-EA-priority scientific problems (like advanced manufacturing or alternative energy storage), or take a high-paying job (e.g., as an ML engineer earning $400k/year) with decent work-life balance and donate around $100,000 annually to support researchers in EA's priority causes (biosecurity, AI policy, animal welfare). The author, a mechanical & electrical engineering graduate, is driven by impact maximization but admits they are not personally interested in EA cause areas now or in the near future.

The core trade-off, as the author frames it, is between directly contributing to a neglected field versus funding someone else to work on a major EA cause area. They ask whether the $100k/year donation could 'replace' their own potential research impact—for instance, by funding an additional PhD student—but note the funded student might not become a professor or tackle neglected problems. The post invites resources and thoughts on comparing these paths, highlighting the difficulty of measuring indirect impact versus personal contribution. It's a nuanced exploration of how to optimize for global good when personal interests and community priorities diverge.