What is Effective Altruism?
Definition
- Effective altruism (EA) is “a project that aims to find the best ways to help others, and put them into practice” — both a research field (identifying the world’s most pressing problems and best solutions) and a practical community applying those findings.
- It matters because effectiveness varies enormously: some charities help 100–1,000× as many people as others with the same resources, so careful thinking about how to help can do far more good.
- Formalized by Oxford scholars, now applied by tens of thousands of people in 70+ countries. Adherents are united not by a specific solution but by a way of thinking — seeking unusually high-impact ways to help. Cause areas are typically chosen using the scale / tractability / neglectedness framework.
Example cause areas
- Preventing the next pandemic: argued as early as 2014 to be likely and badly underfunded (~$8bn/yr US pandemic prevention vs. ~$280bn/yr counterterrorism, despite far larger death tolls). Efforts: Open Philanthropy funding the Johns Hopkins Center for Health Security; founding 1DaySooner (human challenge trials, 30,000+ volunteers); the Apollo Programme for Biodefense.
- Basic medical supplies in poor countries: “charity begins where we can help the most.” Given extreme global inequality (700M+ people on <$1.90/day), GiveWell found interventions like insecticide-treated bednets can save a child’s life for ~$5,500 — ~180× cheaper than rich-country spending. 110,000+ donors gave $1bn+ via GiveWell, funding e.g. the Against Malaria Foundation (200M+ bednets, ~159,000 lives saved). The fintech Wave also cuts remittance costs to African countries.
- AI alignment research: high-impact because neglected; ~a couple hundred alignment researchers vs. tens of thousands advancing AI capabilities. Framed as pressing from a longtermist view. Efforts: Superintelligence (2014); the Center for Human-Compatible AI (Stuart Russell); alignment teams at DeepMind/OpenAI; Concrete Problems in AI Safety.
- Ending factory farming: ~10bn animals/yr in US factory farms, vastly under-addressed vs. pet shelters (1,400× more animals, but far less funding). Efforts: the Open Wing Alliance (2,200+ cage-free commitments, 100M+ birds spared); the Good Food Institute and alternative proteins; Open Philanthropy’s early investment in Impossible Foods.
- Improving decision-making: helping indirectly by empowering better decisions among key actors — e.g. Metaculus forecasting (gave a 47%→80% probability of Russia invading Ukraine ahead of pundits) and Oxford’s Global Priorities Institute.
The four uniting principles
- Scope sensitivity: prioritize actions that benefit more lives over fewer; scale is a fundamental, not merely incremental, consideration.
- Impartiality: help those who need it most without favoring the near or similar — often pointing toward people in developing countries, animals, and future generations.
- Scout mindset: orient toward truth rather than defending existing views; cultivate intellectual humility and update on evidence.
- Recognition of tradeoffs: time and money are limited, so every choice has an opportunity cost; allocate deliberately.
- These principles aren’t absolutes and could change. EA explicitly rejects “ends justify the means” reasoning, emphasizing honesty, integrity, and compassion. It’s compared to the scientific method: simple premises (test your beliefs; help more rather than fewer) that lead to an unconventional, ever-evolving picture of doing good.
How to take action
- Choosing high-impact careers (e.g. via 80,000 Hours), donating to carefully chosen charities (GiveWell, Giving What We Can), starting organizations, or building communities tackling pressing problems.
- EA applies no matter how much time or money you give — what matters is being driven by the four values and making your efforts as effective as possible.
(No explicit publication date is shown on the page; the article references events through ~2022.)