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Pro-natalism is the philosophical position and policy paradigm that viewspromotes reproduction of human life as an important objective of humanity.

Pro-natalism is the philosophical position and policy paradigm that views reproduction of human life as an important objective of humanity.

Pro-natalism is the philosophical position that views procreationreproduction of human life as an important objective of humanity.

Anti-natalism is the philosophical position that viewviews procreation as unethical, often based on the belief that bringing new life into the world results in more harm than good.

Pro-natalism is the philosophical position that views procreation as an important objective of humanity.

Coefficient Giving (formerly Open PhilanthropyPhilanthropy) has argued that GiveWell's commitment to transparency makes sense given the charity evaluator's goal of making donation recommendations to the public: these recommendations are credible in part because the process that produced them is open to public examination. According to Open Philanthropy,Coefficient Giving, other forms and degrees of transparency may be more appropriate to organizations that do not share GiveWell's mission, especially given the costs and risks of increased transparency. For this reason, Open PhilanthropyCoefficient Giving does not place a high priority on explaining their individual grantmaking decisions to the public. Instead, it prioritizes the sharing of information about their general thinking processes and philosophy^[4] and the communication of this information in ways that make it easier for the recipient to determine what updates to make in response to it (known as reasoning transparency).^[5]

Muehlhauser, Luke (2017) Reasoning transparency,Open Philanthropy (now Coefficient Giving), December.

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   GiveWell (2021) Our approach to transparency, GiveWell, April.

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   Centre for Effective Altruism (2021) Our mistakes, Centre for Effective Altruism, May.

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   Alexander, Scott (2021) Mistakes, Astral Codex Ten, April 25.

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Karnofsky, Holden (2016) Update on how we’re thinking about openness and information sharing, Open Philanthropy (now Coefficient Giving), September.

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Muehlhauser, Luke (2017) Reasoning transparency, Open Philanthropy (now Coefficient Giving), December.

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Effective Altruism Community Building Grants (or the CBG programme) (CBG) is a project rungrantmaking program supporting professional city and national effective altruism groups. The program was established in 2018 by the Groups team at the Centre for Effective Altruism (CEA), providing full-.

CBG provides funding to a set of established EA groups. Historically, CEA also provided non-monetary support to grantees, including retreats, regular check-ins, coordination calls, a shared Slack space, and part-timeresources for running groups.

In 2026, CEA began transitioning evaluation of CBG grants to individuals andEA Funds, where the portfolio is expected to be managed alongside, but remain separate from, the EA Infrastructure Fund. CEA also phased out or transitioned most CBG-specific non-monetary support. Funding for existing CBG groups doing local effective altruism community building.^[1] It was started in 2018. continues, but the portfolio remains closed to new applicants.

External linksFurther reading

• How to apply forTransitioning the CBG program. Official page.
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     CEA’s Community Building Grants are becoming more targeted; theProgram

  2. Funding for groups — EA Groups Resource Centre

Related entries

Centre for Effective Altruism | Effective Altruism Funds | Effective Altruism Infrastructure Fund will start evaluating grants for some EA | Effective altruism groups, Joan Gass.

DiGiovanni offers a comprehensive list of potential objections to his argument, and their rebuttals, but heas well as clarifications on what this argument does (not) claim. He also mentions two attempts to find action-guidance despite cluelessness: i) consequentialist bracketing, and ii) a metaepistemic wager.

DiGiovanni, Anthony. 2026.2026a. “Clarifying some misunderstandings of the unawareness argument.” Sept 1. https://forum.effectivealtruism.org/posts/LiicMNNYiLpocw3wZ/clarifying-some-misunderstandings-of-the-unawareness

DiGiovanni, Anthony. 2026b. “Cluelessness: Summary of the argument, why it matters, and counterarguments.” June 19. https://forum.effectivealtruism.org/posts/NesgdEY6yPrE9wDap/cluelessness-summary-of-the-argument-why-it-matters-and-1

Forethought is "a research nonprofit focused on how to navigate the transition to a world with superintelligent AI systems".

Perry, Lucas (2019) AI Alignment Podcast: On the governance of AI with Jade Leung,AI, Future of Life Institute, July 22.

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   Kagan, Rebecca, Jade Leung[redacted], & Ben Clifford (2021) What we learned from a year incubating longtermist entrepreneurship, Effective Altruism Forum, August 30.

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   Bergal, Asya (2021) Long-Term Future Fund: May 2021 grant recommendations, Effective Altruism Forum, May 27.

Kagan, Rebecca, Jade Leung[redacted], & Ben Clifford (2021) What we learned from a year incubating longtermist entrepreneurship, Effective Altruism Forum, August 30.

For example, there are some reasons to think that the long-term effects of a marginally higher economic growth rate would be good—overall good or c-preferable—say, via drivingby fostering more patient and pro-social attitudes. This would mean that taking action to increase economic growth could have much better effects than not taking the action. We have some reasons to think that the long-term effects of a marginally higher economic growth rate would be bad —for example, via increased carbon emissions leading to climate change. This would mean that not taking the action that increases economic growth could be a much better idea. It is not immediately obvious that one of these is better than the other, but we also cannot say they have equal expected value. Rather, the EV is indeterminate. 
We care about the overall effects of a marginally higher economic growth rate (~P1). If we have no reason to believe that our best guess (on whether it is overall net good or bad) is truth-tracking because of substantial unawareness, we should not follow this best guess (~P2). Given how coarse our awareness of the possible consequences of a marginally higher economic growth rate in fact is, we indeed are in such a situation (~P3).

DiGiovanni offers a comprehensive list of potential objections to his argument, and their rebuttals, but he also mentions two attempts to find action-guidance despite cluelessness: i) consequentialist bracketing, and ii) a metaepistemic wager.

While the term consequentialist bracketing was first used by DiGiovanni (2025b)^[3], the idea was formalized by Kollin et al. (2025). It basically aims at providing a principled way of excluding some paralyzing considerations from our decision-making (i.e., "bracketing them out") to find action-guidance, butguidance. Still, it comes with (at least) the following potential problems:

DiGiovanni offers a comprehensive list of potential objections to his argument, and their rebuttals, but he mentions two attempts to find action-guidance despite cluelessness: i) consequentialist bracketing, and ii) a metaepistemic wager. Both are discussed below, right after we get more precise on DiGiovanni's empirical premise.

For example, there are some reasons to think that the long-term effects of a marginally higher economic growth rate would be good—say, via driving more patient and pro-social attitudes. This would mean that taking action to increase economic growth could have much better effects than not taking the action. We have some reasons to think that the long-term effects of a marginally higher economic growth rate would be bad —for example, via increased carbon emissions leading to climate change. This would mean that not taking the action that increases economic growth could be a much better idea. It is not immediately obvious that one of these is better than the other, but we also cannot say they have equal expected value. We care about the overall effects of a marginally higher economic growth rate (~P1). If we have no reason to believe that our best guess (on whether it is overall net good or bad) is truth-tracking because of substantial unawareness, we should not follow this best guess (~P2). Given how coarse our awareness of the possible consequences of a marginally higher economic growth rate in fact is, we indeed are in such a situation (~P3).

DiGiovanni also offers a comprehensive list of potential objections to his argument, and their rebuttals, but he mentions two attempts to find action-guidance despite cluelessness: i) consequentialist bracketing, and ii) a metaepistemic wager. Both are discussed below, right after we get more precise on DiGiovanni's empirical premise.

1. Consequentialist bracketing can make contradictory recommendations depending on what is considered the value location, and picking a particular one seems arbitrary (Clifton 2025; DiGiovanni 2025b).^[4]
2. Even if it doesn't, it is not clear what it implies. Neartermism? (Kollin et al. 2025; DiGiovanni 2025b.) Or should we even bracket out some unsignable near-term effects? Or a halfway form of longtermism? (Clifton 2025; Buhler 2025.)
3. It violates the sure-thing principle, although DiGiovanni argues this may not be an issue.
4. It may seem ad hoc, to the point where it might not seemappear any more compelling/justified than pretending we are not clueless in the first place.

The Cross-Cause Fund (CCF) is an expert-managed cause-neutral fund. It is run by Rethink Priorities' cross-cause fund team, which is composed of members of its Leadership and Executive Team, Worldview Investigation Team, and Interdisciplinary Research Team.

It was launched in May 2026 as a fund explicitly aimed at full impartiality across(across all cause areas.areas)^[1]  — at a time when, per RP's own analysis, only 2% of EA prioritization resources were allocated to cross-cause prioritization, an area RP describes as historically underdeveloped in effective giving. 

This sentence from the CCF website offers a good summary of the goal and intent:

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   With two caveats. First, RP cannot consider political candidates as potential beneficiaries of donations. Second, as of August 2026, multiple worthy causes have not yet been included in the evaluation, e.g., meta work (though the causes that have been included were prioritized intentionally, given specific cross-cause prioritization assumptions)assumptions plus lack of time to get closer to an ideal allocation). See the CCF FAQ for more related information.