Executive summary: The author summarizes and largely endorses Ben Hoffman’s criticisms of Effective Altruism, arguing that EA’s early “evidence-based, high-leverage giving” story was not followed by the kind of decisive validation or updating you’d expect over ~15 years, and that EA instead drifted toward self-reinforcing credibility and resource accumulation amid institutional and “professionalism” pressures.
Key points:
The author describes early EA as combining Singer-style moral motivation (e.g. the drowning child) with an engineering/finance approach to measuring impact, with GiveWell as the canonical early organization focused on cost-effective global health giving.
They claim the popular “cup of coffee saves a life” framing uses “basically made up and fraudulent numbers,” and contrast it with a GiveWell-style pitch of roughly “~$5000” to “save or radically improve a life.”
They argue that as major funders (e.g. Dustin Moskovitz via Good Ventures advised by Open Philanthropy, with overlap with GiveWell) entered the ecosystem, difficulties with the simple impact model were discovered but “quietly elided,” with limited follow-through to obtain higher-quality outcome evidence.
They highlight GiveWell advising Open Philanthropy not to fully fund top charities as a central anomaly, suggesting that if even pessimistic cost-effectiveness estimates were believed, large funders could have gone much further (including potentially “almost” wiping out malaria) or run intensive country-level case studies to validate assumptions.
They argue that it is not strange for early estimates to be wrong, but it is strange that ~15 years passed without either (a) producing strong confirming evidence and doubling down, or (b) learning that malaria/poverty interventions have different constraints and updating public-facing marketing accordingly.
The author suggests EA’s credibility became circular—initially earned via persuasive research, then “double spent” by citing money moved as evidence of trustworthiness—while lacking matching evidence that outcomes met expectations or that the ecosystem was robustly learning.
They propose that the underlying blockers may be structural and institutional (e.g. predatory social structures and corruption on the recipient side, and truth-impeding “professionalism” and weak epistemic bureaucracies on the donor side), and they speculate that these pressures and rapid growth eroded EA’s epistemic rigor into an attractor focused on accumulating more resources “because We Should Be In Charge.”
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, andcontact us if you have feedback.
Executive summary: The author summarizes and largely endorses Ben Hoffman’s criticisms of Effective Altruism, arguing that EA’s early “evidence-based, high-leverage giving” story was not followed by the kind of decisive validation or updating you’d expect over ~15 years, and that EA instead drifted toward self-reinforcing credibility and resource accumulation amid institutional and “professionalism” pressures.
Key points:
The author describes early EA as combining Singer-style moral motivation (e.g. the drowning child) with an engineering/finance approach to measuring impact, with GiveWell as the canonical early organization focused on cost-effective global health giving.
They claim the popular “cup of coffee saves a life” framing uses “basically made up and fraudulent numbers,” and contrast it with a GiveWell-style pitch of roughly “~$5000” to “save or radically improve a life.”
They argue that as major funders (e.g. Dustin Moskovitz via Good Ventures advised by Open Philanthropy, with overlap with GiveWell) entered the ecosystem, difficulties with the simple impact model were discovered but “quietly elided,” with limited follow-through to obtain higher-quality outcome evidence.
They highlight GiveWell advising Open Philanthropy not to fully fund top charities as a central anomaly, suggesting that if even pessimistic cost-effectiveness estimates were believed, large funders could have gone much further (including potentially “almost” wiping out malaria) or run intensive country-level case studies to validate assumptions.
They argue that it is not strange for early estimates to be wrong, but it is strange that ~15 years passed without either (a) producing strong confirming evidence and doubling down, or (b) learning that malaria/poverty interventions have different constraints and updating public-facing marketing accordingly.
The author suggests EA’s credibility became circular—initially earned via persuasive research, then “double spent” by citing money moved as evidence of trustworthiness—while lacking matching evidence that outcomes met expectations or that the ecosystem was robustly learning.
They propose that the underlying blockers may be structural and institutional (e.g. predatory social structures and corruption on the recipient side, and truth-impeding “professionalism” and weak epistemic bureaucracies on the donor side), and they speculate that these pressures and rapid growth eroded EA’s epistemic rigor into an attractor focused on accumulating more resources “because We Should Be In Charge.”
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.