Nov 1, 2023, 9:17 AM ETLecture

Want to do good in your career? How to choose which area to focus on | The 80,000 Hours career guide

Core Thesis: Career impact is maximized by selecting problems based on objective criteria rather than personal interest or intuition, a strategy that can increase impact by over 100 times.
Primary Error: Most individuals rely on "scope neglect" and intuition, causing them to gravitate toward problems that are already crowded (e.g., US healthcare) or small in scale (e.g., mobile charger energy waste).
Methodology: The framework relies on three rigorous questions derived from Open Philanthropy and the Global Priorities Institute:
- Is the problem large in scale?
- Is the problem neglected?
- Is the problem solvable?

Definition of Scale: Determined by the number of people affected, the size of the effect per person, and the long-run benefits of solving the problem.
Intuition vs. Reality: Human intuition fails to distinguish between different magnitudes of harm (scope neglect); for example, people often value saving 2,000 birds the same as saving 200,000 birds.
Case Study on Futility: A BBC campaign suggesting unplug phone chargers to save energy would have achieved a maximum of 0.01% reduction in UK personal power usage, rendering it negligible compared to installing home insulation.
Proportional Impact: The total effect of an intervention is often proportional to the size of the problem; a 10% reduction in a tiny problem yields less impact than a 10% reduction in a massive one.

Diminishing Returns: As more resources and talent are dedicated to a problem, the "low-hanging fruit" is exhausted, making it harder for new entrants to make an original, high-impact contribution.
Crowding Evidence: Over 850,000 doctors exist in the US alone, making it difficult for an additional worker to significantly alter outcomes compared to health interventions in poor countries.
Cost Efficiency Contrast: Due to lower resource allocation, saving a life in poor countries costs approximately $5,000, whereas the same effort in wealthy nations faces diminishing marginal utility.
Identification of Neglected Areas: Urgent problems are often those that:
- Affect distant populations, non-human animals, or future generations rather than the donor's immediate community.
- Involve low-probability, high-consequence events (e.g., catastrophic pandemics, AI risk).
- Are unknown to the public because they do not affect wealthy populations (e.g., parasitic worms affecting 1 billion people).
Counter-Intuitive Finding: The most impactful work often involves problems that others have systematically overlooked, such as neglected tropical diseases rather than cancer.

Risk of Harm: Social interventions can produce negative results; for instance, the "Scared Straight" program caused young offenders to commit more crimes, resulting in an estimated $200+ social harm for every $1 spent.
Failure Rate: David Anderson of the Coalition for Evidence-Based Policy estimates that 75% or more of rigorously evaluated social programs produce small, no, or negative effects.
Prediction Difficulty: Humans are notoriously bad at predicting which interventions work; a 10-question quiz on effective interventions yielded results no better than random chance among hundreds of test subjects.
Verification Requirements: A viable problem must have:
- Rigorous evidence proving an intervention works (e.g., malaria nets).
- A mechanism to test promising but unproven programs.
- A realistic chance of making a massive impact (e.g., stopping a global pandemic).

Role Compatibility: Even if a problem is big, neglected, and solvable, it is ineffective to work on it if the individual lacks personal fit or motivation; long-term impact requires sustained effort.
Skill Leverage: Early-career focus should be on exploring roles and building transferable skills; later-career focus should apply existing expertise to urgent problems (e.g., an economist applying their skills to development policy).
Trade-offs: It is sometimes superior to work on a slightly less pressing problem if personal fit is significantly higher, as poor fit guarantees low impact regardless of the problem's urgency.

Donation Disparity: In the US, only 5% of charitable donations go toward international causes, despite the potential for higher impact abroad.
Career Trends: Approximately 40% of talented graduates enter careers in teaching or health within the US, primarily benefiting local populations.
Recommended Shift: The framework argues for redirecting focus from local issues (homelessness, unemployment) in rich countries to global issues, specifically poverty in the world's poorest nations and health interventions like fighting malaria and parasitic worms.
Future Scope: Current analysis suggests that issues beyond global poverty, such as AI safety and biosecurity, may represent even more urgent, neglected, and solvable priorities.