Currently, I am organizing a speaker series to raise money for Peter Singer’s charity The Life You Can Save. To make an experiment out of it, I structured the event as a blind auction. People donate to the charity and email me the receipt. On the day of the event, I release invitations to the top-thousand most generous donors.
So far, I’m really pleased with the response! I feel like this approach is inducing people to donate, which is exciting. On the other hand, it has led me to ask myself (1) to what extent do unique fundraisers induce more aggregate donating, as opposed to simply shifting funds from alternative charities; and (2) to the extent the donations I’m receiving receipts for are simply people shifting a donation they would have already made to another charity, is there a way to approximate which charities are being negatively affected? These seem like important questions for assessing the effectiveness of fundraising.
I’m sure I’m not the first person to ask these questions. I found a few relevant studies, including:
- This randomized controlled trial done by Facebook that found that Save the Children ads increased Save the Children donations, but reduced donations to other charities.
- This study that found zip codes near tornado events donated just as much to charity as other zip codes, suggesting minimal crowdout.
- Several experimental lab studies that seem to suggest crowdout (here and here).
I take from this that crowdout is a very real concern. But from my quick reading, I had trouble deriving good rules-of-thumb for quantifying crowd-out. So I thought I’d ask here for anyone had any suggestions.
Thank you!
Great question!
It is worth noting that we are interested in maximising the positive impact achieved by the donations, which is the product between the amount donated and cost-effectiveness of the donation. Even if the amount donated is constant, differences in cost-effectiveness could imply that a given donation is much better than other. So, it is quite important to understand not only how much people would donate otherwise, but also to which organisations they would give.
In practice, if the counterfactual donation would go to the median charity, I would say it is safe to assume that directing that donation to organisations aligned with effective altruism is quite good (especially because the distribution of cost-effectiveness is heavy-tailed).
The above may suggest that, for fundraising projects which mainly attract people already engaged with effective altruism, the additional impact is small. However, I think organisations like Giving What We Can may still be quite effective via increasing awareness for effective altruism. That being said, I would be quite interested in seeing more (public) analyses of the multiplier effect of such organisation and other fundraising projects (or effective giving organisations like Ge Effektivt).
Thanks for the feedback.
Spending 1 h on assessing the counterfactual seems very little for such an important component of the theory of change of multiplier organisations. Some models you may find useful for inspiration are this one from the Effective Altruism Foundation, and this one from RC Forward (mentioned here).