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E Part of the TESCREAL bundle

Effective Altruism

Charity reduced to a branch of economics.

A movement that promises to use evidence and reason to do the most good per dollar — and that, its critics argue, became a recruiting funnel for AI doomerism, a moral shield for fraud, and a way to turn ethics into math that always seems to favor the people doing the calculating.

Effective Altruism (EA) began with an unimpeachable premise: if you can prevent suffering at little cost, you are obligated to do so. From that seed grew charity evaluators, “earn to give” career advice, and billions in directed giving. But EA emerged from the rationalist community and birthed longtermism, and over a decade it drifted from malaria nets to speculative AI risk. Its biggest donor, Sam Bankman-Fried, committed one of history's largest frauds in its name. Critics call it top-down colonial philanthropy, “misogyny encoded into math,” and a framework whose utilitarian logic can justify almost anything.

Overview

What it is

The drowning child

Effective Altruism starts from a thought experiment by the philosopher Peter Singer: if you walked past a child drowning in a shallow pond, you would be obligated to wade in and save them, even at the cost of ruined clothes. Singer argues that distance makes no moral difference — a child dying of a preventable disease overseas has the same claim on you as the one in front of you.

From that premise EA draws a radical conclusion: those with means are obligated to give, and to give effectively — directing money where it buys the most measurable good. Who could argue with that? The pitch is almost impossible to refuse, which is precisely what makes the movement built on top of it so hard to criticize from the outside.

Ethics as economics

EA's defining move is to make doing good quantifiable. Lives are converted into units — dollars per life saved, quality-adjusted life-years — and causes are ranked by cost-effectiveness. Career choices become optimization problems: the “earn to give” doctrine tells bright young people to take the highest-paying job they can, even a morally dubious one, and donate the proceeds.

Critics argue this reduces all of ethics to a branch of economics, discarding justice, dignity, liberation, community, and democratic participation as things that cannot be measured. The scholar Émile P. Torres — a former insider — describes a framework in which, on the underlying utilitarian view, “there's nothing intrinsically wrong about any act. Not murder, not fraud, not lying or cheating.”

The pivot to the far future

EA emerged from the rationalist community around LessWrong, and that lineage pulled it steadily away from present suffering. Saving lives now is good — but if future people count equally, and there could be 10²⁴ of them, then reducing a tiny probability of human extinction outscores any malaria program. This is the logic of longtermism, EA's most influential offspring.

By the 2020s the movement's flagship career advice listed AI risk above global poverty, and climate change barely registered. The same expected-value math that began with mosquito nets now justified pouring resources into speculative machine-superintelligence scenarios — and, for a while, into the fortune of a crypto billionaire who said all the right words.

Core tenets

What its believers hold

The doctrines that recur across the movement's founders, theorists, and builders.

01

Impartial maximization

Every life counts equally regardless of distance, nationality, or relationship to you. The goal is to maximize total well-being — and partiality toward your own community is a bias to be corrected.

02

Do the most good per dollar

It is not enough to do good; you must do the most good possible. A charity that saves ten lives per dollar is morally superior to one that saves one, and choosing the latter is treated as a failure.

03

Earn to give

For many, the highest-impact career is a lucrative one donated to good causes. Take the Wall Street or quant-trading job and give the money away — the ends justify the means of acquiring it.

04

Cause prioritization

Causes are ranked by scale, neglectedness, and tractability. Resources should flow to whichever cause this calculation favors — even if that means abandoning the cause closest to your heart.

05

Expected-value reasoning

Decisions are made by multiplying outcomes by their probabilities. A tiny chance of an astronomically large payoff can outweigh a certainty of helping people now — the move that carries EA from charity to longtermism.

06

Evidence over emotion

Sentiment and tradition are distrusted; randomized trials, metrics, and explicit calculation are trusted. What cannot be measured — justice, dignity, solidarity — tends to fall out of the ledger entirely.

Key concepts

The vocabulary

The specialized terms you need to read the movement in its own words.

The drowning-child argument
Peter Singer's thought experiment: if you would save a drowning child at small cost, you are equally obligated to save distant strangers through effective giving.
Earn to give
The doctrine that taking a high-paying — even morally dubious — career and donating the income can be a higher-impact choice than direct charitable work.
Cost-effectiveness
Ranking interventions by good achieved per dollar, often using metrics like cost per life saved or per QALY (quality-adjusted life-year).
QALY
Quality-adjusted life-year — a unit that converts health and longevity into a single number so that disparate interventions can be compared and ranked.
Cause neutrality
The principle that one should support whichever cause does the most good, with no inherent loyalty to any particular issue or community.
GiveWell
The EA charity evaluator that publishes “top charities” based on cost-effectiveness research — criticized because its recommended organizations are overwhelmingly Western.
80,000 Hours
EA's career-advice organization (the number of hours in a working life). Its top recommendations came to be dominated by AI risk, with climate change largely absent.
The longtermist pivot
EA's drift from present, measurable poverty toward speculative far-future risks — especially AI — on the logic that future people vastly outnumber the living.
Timeline

How it unfolded

1972
Singer's “Famine, Affluence, and Morality”
Peter Singer publishes the essay containing the drowning-child argument: if we can prevent something bad without sacrificing anything of comparable moral importance, we are obligated to. The philosophical seed of EA.
2007
GiveWell founded
Former hedge-fund analysts Holden Karnofsky and Elie Hassenfeld leave finance to build a charity evaluator that ranks giving by measurable cost-effectiveness — bringing a quant sensibility to philanthropy.
2009
Giving What We Can
Philosophers Toby Ord and William MacAskill launch a pledge community whose members commit to donating at least 10% of their income — the organized beginning of the movement.
2011
The movement gets a name
“Effective altruism” is adopted as the banner for the loose network of givers, pledgers, and rationalists; the Centre for Effective Altruism and 80,000 Hours coalesce around it in Oxford.
2012
MacAskill meets Bankman-Fried
MacAskill pitches a young MIT student named Sam Bankman-Fried on “earn to give.” SBF takes the advice to its logical extreme: Jane Street, then a stint at the Centre for Effective Altruism, then crypto.
2015
“Doing Good Better”
MacAskill's book popularizes EA for a mass audience, cementing earn-to-give and cost-effectiveness as the movement's public face just as Silicon Valley money begins flowing in.
2022
Longtermism and the FTX collapse
MacAskill publishes “What We Owe the Future,” the longtermist manifesto; Elon Musk calls it “a close match for my philosophy.” Months later SBF's FTX implodes in an ~$8B fraud — EA's largest funder, exposed.
2023
Reckoning and the AI turn
A Time investigation reports sexual-misconduct accounts from seven women; critics like Carla Cremer describe being “railroaded.” The movement leans harder into AI safety, its center of gravity now far from the global poor.
Key figures

The cast

Founders, theorists, builders, and financiers of the project.

Peter Singer
Philosophical founder

Peter Singer

b. 1946

Utilitarian philosopher whose drowning-child argument and 2013 TED talk supplied EA's founding premise — and its irresistible sales pitch.

Wikipedia →
William MacAskill
Co-founder

William MacAskill

b. 1987

Co-founded EA and longtermism; author of “Doing Good Better” and “What We Owe the Future.” Pitched SBF on “earn to give” and defended him on Sam Harris's podcast after the collapse.

Wikipedia →
Sam Bankman-Fried
Largest donor / fraudster

Sam Bankman-Fried

b. 1992

EA's biggest funder. Radicalized by MacAskill ~2012; Jane Street → Centre for EA → FTX → an ~$8B fraud justified, critics say, by utilitarian logic. Convicted on seven counts in 2023.

Wikipedia →
Holden Karnofsky
Co-founder, GiveWell

Holden Karnofsky

b. 1981

Co-founded GiveWell and later Open Philanthropy, steering hundreds of millions in EA money — increasingly toward AI risk.

Wikipedia →
Elie Hassenfeld
Co-founder, GiveWell

Elie Hassenfeld

b. 1982

Co-founded GiveWell with Karnofsky, building the cost-effectiveness machinery that defines EA's measurable, metrics-first approach to charity.

Wikipedia →
Sam Harris
Popularizer / platform

Sam Harris

b. 1967

Podcaster aligned with EA and rationalism; hosted MacAskill, including the appearance where MacAskill defended SBF after FTX collapsed.

Wikipedia →
Sonia Joseph
Critic / former insider

Sonia Joseph

—

Former community member who described EA's culture as “misogyny encoded into math,” one of many accounts feeding the movement's 2023 reckoning.

Carla Cremer
Academic critic

Carla Cremer

—

Co-author (with Luke Kemp) of “Democratising Risk,” a critique of EA's centralized, techno-utopian approach; says she was “railroaded” over fears of offending donors like Open Philanthropy.

Key texts

The canon

The essays, declarations, and books that built the doctrine.

Famine, Affluence, and Morality

Peter Singer

The essay that supplied EA's moral core: if we can prevent suffering without sacrificing anything comparably important, we are obligated to do so.

Read ↗
1972

Doing Good Better

William MacAskill

The book that brought EA to a mass audience — earn-to-give, cost-effectiveness, and the case for ruthless prioritization.

Read ↗
2015

What We Owe the Future

William MacAskill

The longtermist manifesto arguing future people matter as much as the living — published months before FTX collapsed. Musk called it “a close match for my philosophy.”

Read ↗
2022

GiveWell — Top Charities & Research

Holden Karnofsky & Elie Hassenfeld

The cost-effectiveness machinery in practice: ranked “top charities” by dollars per life saved — and, critics note, almost entirely Western-run.

Read ↗
2007–

80,000 Hours

Centre for Effective Altruism

EA's career guide. Over time its highest-impact recommendations came to be dominated by AI risk, with climate change conspicuously absent.

Read ↗
2011–

Giving What We Can

Toby Ord & William MacAskill

The pledge that organized the movement: a public commitment to give at least 10% of income to the most effective causes.

Read ↗
2009–
In their own words

On the record

If it is in our power to prevent something bad from happening, without thereby sacrificing anything of comparable moral importance, we ought, morally, to do it.
— Peter Singer, “Famine, Affluence, and Morality” (1972)
Effective altruism is misogyny encoded into math.
— Sonia Joseph
He was basically a utilitarian and a longtermist… on the utilitarian view, there's nothing intrinsically wrong about any act. Not murder, not fraud, not lying or cheating.
— Émile P. Torres, on Sam Bankman-Fried
EA likes the criticism that it likes… but if you criticize key aspects upon which the framework is based, you will be ostracized, attacked, and maybe even threatened with violence.
— Émile P. Torres (paraphrased)
The critique

The case against

Effective Altruism markets itself as the rational, evidence-based way to do good. Its critics — many of them former insiders — argue that beneath the spreadsheets sits an elite ideology that launders power: it concentrates decision-making in Western hands, manufactures a moral shield for the wealthy, and, taken to its logical end, produced Sam Bankman-Fried.

Top-down colonial philanthropy

EA moves money from the Global North to the Global South while keeping control in the North. GiveWell's recommended organizations are overwhelmingly Western; the Ugandan farmer Anthony Kula called EA worse than traditional philanthropy for imposing “predetermined solutions not rooted in the lived experiences of the extreme poor.”

SBF as the logical end of “earn to give”

Sam Bankman-Fried did exactly what the doctrine prescribed — get filthy rich to give it away — and committed an ~$8B fraud doing it. Émile Torres argues the underlying utilitarianism makes no act, “not murder, not fraud,” intrinsically wrong. MacAskill, who recruited him, defended him on Sam Harris's show.

Crushing dissent

When Carla Cremer and Luke Kemp published a critique, they say they were “railroaded” over fears of offending donors like Open Philanthropy. A 2023 Time investigation reported misconduct accounts from seven women; Sonia Joseph called the culture “misogyny encoded into math.”

The drift from present suffering

Expected-value math carried EA from malaria nets to speculative AI risk: if 10²⁴ future people might exist, the living become a rounding error. Longtermism, EA's offspring, even reframes habitat destruction and climate damage as acceptable — the present sacrificed to a hypothetical future.

Inside the bundle

How it connects

Transhumanism does not stand alone. It feeds — and is fed by — the other letters of TESCREAL.

The network

The full web

People, organizations, and the ideologies this one bleeds into. Drag nodes, hover to isolate, scroll to zoom — or pop it out fullscreen.

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Sources

Citations & further reading

Primary documents and reporting used on this page. See the full References library → for the complete source list.

  1. 01
    The TESCREAL Bundle: Eugenics and the Promise of Utopia through AGI ↗Gebru & Torres · First Monday (2024)
  2. 02
    Effective altruism ↗Wikipedia
  3. 03
    The Acronym Behind Our Wildest AI Dreams and Nightmares ↗Émile P. Torres · Truthdig
  4. 04
    AI Is a Eugenics Project — interview with Émile P. Torres ↗The Stories We Tell · YouTube
  5. 05
    How effective altruism let Sam Bankman-Fried happen ↗Vox · Future Perfect
  6. 06
    Democratising Risk: or how EA deals with critics ↗Carla Cremer & Luke Kemp · EA Forum
  7. 07
    The Reluctant Prophet of Effective Altruism ↗The New Yorker
  8. 08
    Our Principles ↗Centre for Effective Altruism
  9. 09
    GiveWell ↗GiveWell
  10. 10
    80,000 Hours ↗80,000 Hours
Effective Altruism — connection network