If your life goal is to donate, what kind of organisation should you found?

Epistemic status: Medium confidence, model-based reasoning with limited empirical grounding. Heavily influenced by power-law intuitions, startup statistics, and EA cost-effectiveness framing. Most uncertain about counterfactuals and founder-specific effects.

Summary

If you want to maximise lifetime charitable donations through founding, which organisational structure is best?

I compare four paths:

For-profit founding to give
Charity entrepreneurship
Social enterprises (CICs)
Effective giving organisations

My current view:

For risk-tolerant founders, for-profit founding-to-give likely maximises expected value, driven by extreme right-tail outcomes.
For those optimising for probability of achieving meaningful impact, charity entrepreneurship appears strongest.
CICs are often structurally dominated.
Effective giving organisations are highly sensitive to counterfactual assumptions.

Why this question seems neglected

Within EA, there is substantial discussion of:

Earning to give vs direct work
Cause prioritisation

But relatively little on organisational structure conditional on founding.

This seems non-trivial because structure directly affects:

Incentives (equity vs salary vs mission lock)
Access to capital (VC vs grants vs donations)
Scalability constraints
Timing and magnitude of donations

Programmes like AIM’s Founding to Give are relatively recent, which weakly suggests this space has not been fully explored.

Framework: ITN (with caveats)

I evaluate options using:

Importance: scale of impact
Tractability: probability of success
Neglectedness: marginal resources

However, ITN has limitations:

Neglectedness is often endogenous to tractability
It does not handle heavy-tailed distributions well
It abstracts away from founder-specific comparative advantage

So this analysis should be read as a rough scaffold, not a decision procedure.

1. For-profit founding to give

Claim: Highest expected value for the right tail of founders.

Importance: Extremely high
Startup returns follow a power-law distribution. A small number of exits generate the majority of value. Donating even a fraction of a large exit dominates most alternative paths.
Tractability: Low
Base rates are poor. Most startups fail or produce modest outcomes.
Neglectedness: Moderate
Increasing attention within EA, but still less explored than charity entrepreneurship.

Key considerations:

EV is driven almost entirely by rare successes
Time to impact is long and uncertain
Capital markets amplify scale in ways philanthropy typically cannot

Failure modes:

Value drift after financial success
Pledge non-fulfilment
Burnout before exit
Selection effects, people overestimating their probability of success

A central concern is that expected value may be illusory at the individual level if founders systematically overestimate their odds in a heavy-tailed distribution.

2. Charity entrepreneurship

Claim: Best option for maximising probability of impact.

Importance: Very high
Creating a top-tier charity can shift large flows of funding. Cost-effectiveness differences across charities are large.
Tractability: Moderate to high
Incubators provide:
- Cause selection
- Seed funding
- Mentorship

This reduces early-stage uncertainty.

Neglectedness: Low
The space is relatively mature within EA.

Key considerations:

Faster path to impact than startups
Strong alignment between mission and structure
Less exposure to extreme downside risk

Failure modes:

Intervention fails at scale
Fundraising constraints limit growth
Counterfactual replacement, someone else would have founded something similar

Relative to for-profits, this path trades away upside tail outcomes for much tighter variance.

3. Social enterprises (CICs)

Claim: Often a dominated middle ground.

Importance: Moderate
Profit caps and asset locks limit total extractable value for donation.
Tractability: Moderate
Easier to set up, but strategically constrained.
Neglectedness: Low to moderate

Core issue: Misaligned incentives and constraints

Less attractive to investors than for-profits
Less eligible for funding than charities
Limited ability to pivot due to asset lock

Failure modes:

Stuck between commercial and charitable logics
Subscale outcomes in both domains

There may be niche cases where CICs are optimal, but as a general strategy for maximising donations, they appear structurally disadvantaged.

4. Effective giving organisations

Claim: Potentially high leverage, but highly uncertain.

Importance: Potentially very high
If each dollar spent moves multiple dollars to effective charities, impact scales multiplicatively.
Tractability: Moderate
Easier to launch than direct interventions, but success depends on donor behaviour.
Neglectedness: Moderate

Crux: Counterfactual donations

Are these organisations generating new giving?
Or redirecting existing EA-aligned funds?

If mostly the latter, impact is significantly lower than it appears.

Failure modes:

Negative net impact if costs exceed funds moved
Donor substitution effects
Overestimating influence on donor decisions

Comparative intuition

The trade-off can be framed as:

For-profit founding: high variance, extreme upside, low probability
Charity entrepreneurship: lower variance, higher probability of solid impact
CICs: constrained on both axes
Effective giving orgs: leverage depends on uncertain counterfactuals

This resembles a classic risk vs reliability frontier, rather than a single dominant option.

My current view

If you have strong entrepreneurial ability and high risk tolerance, for-profit founding-to-give likely maximises expected donations.
If you want robust, high-probability impact, charity entrepreneurship is more attractive.
CICs are rarely optimal for donation maximisation.
Effective giving organisations are promising but hinge on empirical uncertainties that are not well resolved.

Key uncertainties / what would change my mind

Evidence that founders systematically overestimate their position in the startup distribution, reducing EV below charity entrepreneurship
Data showing Founding to Give participants achieve meaningfully higher success rates than baseline founders
Strong evidence that effective giving organisations generate additional (not substitutive) donations
Cases where CICs demonstrate clear comparative advantages in scaling impact
A framework that incorporates founder-specific fit and selection effects more explicitly

This post was published after 5 weeks of the Intro EA Readings, as part of the Effective Altruism Cambridge Project-Based Fellowship. Learn more here: https://www.eacambridge.org/ and reach out to jianxin@eacambridge.org if you’d like to learn more about the fellowship