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Lecture

Which jobs help people the most? (part2c) @ Cambridge University

80,000 Hours
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  • The core strategic recommendation is to evaluate four broad paths for maximizing social impact, moving beyond traditional direct work to consider scale, fit, and multiplier effects.

Direct Work

  • Defined as solving problems directly through roles like social work, medicine, or non-profit employment.
  • Strategic action involves identifying the highest-performing organizations within a chosen problem area and securing employment there.

Research

  • Often yields higher impact than direct work because discoveries (e.g., oral rehydration therapy) scale globally, unlike individual interventions.
  • The primary pathway involves pursuing a PhD to enter academia, followed by transitioning to research roles in think tanks, NGOs, government, or industry.
  • Career pivots are viable and encouraged; for example, a neuroscience PhD candidate (Hauke) switched to a non-profit research role at Giving What We Can to lead charity effectiveness research.

Advocacy

  • Encompasses three distinct modalities: social advocacy (shifting public opinion), political advocacy (changing policy), and movement building (mobilizing supporters).
  • Impact is multiplied because advocating for others to work on a cause can theoretically double impact compared to individual direct work.
  • Career options include campaigning roles, journalism, policy work, or using existing influential positions to highlight pressing problems.
  • Specific case studies show career pivots from high-paying or academic roles to policy influence:
    • Seb transitioned from two years at McKinsey to founding the Global Priorities Project.
    • Owen shifted from a pure mathematics postdoc at Oxford to the same think tank, which has advised UK government on emerging technological risks.
  • Entering party politics is highlighted as a high-leverage option for those seeking significant government influence.

Earning to Give

  • Involves securing high-earning jobs in the private sector to donate a significant portion of income to effective charities, indirectly funding problem-solving.
  • Justification relies on financial leverage: a Google software engineer earning ~$250,000/year can donate $125,000, which exceeds the salary of a US non-profit CEO ($50,000).
  • This approach allows donors to fund multiple non-profit workers while maintaining a higher standard of living.
  • Recommended sectors for high-earning potential include software engineering, startups, consulting, asset management, and marketing.
  • Case example: Jeff (IT admin to Google engineer) and Julia (non-profit admin to prison social worker) now collectively donate 50% of their combined income.

Strategic Selection Framework

  • The optimal path depends on the specific needs of the target problem (e.g., breast cancer prioritizes research over advocacy because public awareness is already high).
  • Personal fit is the third critical factor; working in a field one dislikes leads to burnout and reduced long-term impact.
  • The goal is to find a domain with the potential to achieve top-tier excellence, as impact distribution is highly skewed:
    • In research, the top 0.1% of papers in journals like Nature receive over 1,000 citations, whereas the median receives only one.
    • In entrepreneurship, the top few percent account for the majority of economic value created.
  • Individuals should prioritize "what they could become good at" over existing skills, as achieving excellence typically requires 10–20 years of dedicated work.
  • The cumulative strategy for maximum impact involves: identifying the most pressing problem, selecting the most effective method (Direct Work, Research, Advocacy, or Earning to Give), and securing a role with excellent personal fit.