My Donations for 2016

post by jsteinhardt · 2016-12-28T17:03:22.239Z · score: 15 (15 votes) · EA · GW · Legacy · 5 comments


  Category A: The Global Poor
  Object-level Process and Decisions (Category A)
  Trajectory of Civilization (Category B)

[Cross-posted from by blog.]

The following explains where I plan to donate in 2016, with some of my thinking behind it. This year, I had $10,000 to allocate (the sum of my giving from 2015 and 2016, which I lumped together for tax reasons; although I think this was a mistake in retrospect, both due to discount rates and because I could have donated in January and December 2016 and still received the same tax benefits).

To start with the punch line: I plan to give $4000 to the EA donor lottery, $2500 to GiveWell for discretionary granting, $2000 to be held in reserve to fund promising projects, $500 to GiveDirectly, $500 to the Carnegie Endowment (earmarked for the Carnegie-Tsinghua Center), and $500 to the Blue Ribbon Study Panel.

For those interested in donating to any of these: instructions for the EA donor lottery and the Blue Ribbon Study Panel are in the corresponding links above, and you can donate to both GiveWell and GiveDirectly at this page. I am looking in to whether it is possible for small donors to give to the Carnegie Endowment, and will update this page when I find out.

At a high level, I partitioned my giving into two categories, which are roughly (A) “help poor people right now” and (B) “improve the overall trajectory of civilization” (these are meant to be rough delineations rather than rigorous definitions). I decided to split my giving into 30% category A and 70% category B. This is because while I believe that category B is the more pressing and impactful category to address in some overall utilitarian sense, I still feel a particular moral obligation towards helping the existing poor in the world we currently live in, which I don’t feel can be discharged simply by giving more to category B. The 30-70 split is meant to represent the fact that while category B seems more important to me, category A still receives substantial weight in my moral calculus (which isn’t fully utilitarian or even consequentialist).

The rest of this post treats categories A and B each in turn.

Category A: The Global Poor

Out of $3000 in total, I decided to give $2500 to GiveWell for discretionary regranting (which will likely be disbursed roughly but not exactly according to GiveWell’s recommended allocation), and $500 to some other source, with the only stipulation being that it did not exactly match GiveWell’s recommendation. The reason for this was the following: while I expect GiveWell’s recommendation to outperform any conclusion that I personally reach, I think there is substantial value in the exercise of personally thinking through where to direct my giving. A few more specific reasons:

Related to the last point: doing this exercise gave me a better appreciation for the overall reliability, strengths, and limitations of GiveWell’s work. In general, I found that GiveWell’s work was incredibly thorough (more-so than I expected despite my high opinion of them), and moreover that they have moved substantial money beyond the publicized annual donor recommendations. An example of this is their 2016 grant to IDinsight. IDinsight ended up being one of my top candidates for where to donate, such that I thought it was plausibly even better than a GiveWell top charity. However, when I looked into it further it turned out that GiveWell had already essentially filled their entire funding gap.

I think this anecdote serves to illustrate a few things: first, as noted, GiveWell is very thorough, and does substantial work beyond what is apparent from the top charities page. Second, while GiveWell had already given to IDinsight, the grant was made in 2016. I think the same process I used would not have discovered IDinsight in 2015, but it’s possible that other processes would have. So, I think it is possible that a motivated individual could identify strong giving opportunities a year ahead of GiveWell. As a point against this, I think I am in an unusually good position to do this and still did not succeed. I also think that even if an individual identified a strong opportunity, it is unlikely that they could be confident that it was strong, and in most cases GiveWell’s top charities would still be better bets in expectation (but I think that merely identifying a plausibly strong giving opportunity should count as a huge success for the purposes of the overall exercise).

To elaborate on why my positioning might be atypically good: I already know GiveWell staff and so have some appreciation for their thinking, and I work at Stanford and have several friends in the economics department, which is one of the strongest departments in the world for Development Economics. In particular, I discussed my giving decisions extensively with a student of Pascaline Dupas, who is one of the world experts in the areas of economics most relevant to GiveWell’s recommendations.

Below are specifics on organizations I looked into and where I ultimately decided to give.

Object-level Process and Decisions (Category A)

My process for deciding where to give mostly consisted of talking to several people I trust, brainstorming and thinking things through myself, and a small amount of online research. (I think that I should likely have done substantially more online research than I ended up doing, but my thinking style tends to benefit from 1-on-1 discussions, which I also find more enjoyable.) The main types of charities that I ended up considering were:

I ultimately felt unsure whether animal welfare should count in this category, and while I felt that CEA was a potentially strong candidate in terms of pure cost-effectiveness, directing funds there felt overly insular/meta to me in a way that defeated the purpose of the giving exercise. (Note: two individuals who reviewed this post encouraged me to revisit this point; as a result, next year I plan to look into CEA in more detail.)

While looking into the “translational work” category, I came across one organization other than IDinsight that did work in this area and was well-regarded by at least some economists. While I was less impressed by them than I was by IDinsight, they seemed plausibly strong, and it turned out that GiveWell had not yet evaluated them. While I ended up deciding not to give to them (based on feeling that IDinsight was likely to do substantially better work in the same area) I did send GiveWell an e-mail bringing the organization to their attention.

When looking into IPA, my impression was that while they have been responsible for some really good work in the past, this was primarily while they were a smaller organization, and they have now become large and bureaucratic enough that their future value will be substantially lower. However, I also found out about an individual who was running a small organization in the same space as IPA, and seemed to be doing very good work. While I was unable to offer them money for reasons related to conflict of interest, I do plan to try to find ways to direct funds to them if they are interested.

While public information campaigns seem like they could a priori be very effective, briefly looking over GiveWell’s page on DMI gave me the impression that GiveWell had already considered this area in a great deal of depth and prioritized other interventions for good reasons.

I ultimately decided to give my money to GiveDirectly. While in some sense this violates the spirit of the exercise, I felt satisfied about having found at least one potentially good giving opportunity (the small IPA-like organization) even if I was unable to give to it personally, and overall felt that I had done a reasonable amount of research. Moreover, I have a strong intuition that 0% is the wrong allocation for GiveDirectly, and it wasn’t clear to me that GiveWell’s reasons for recommending 0% were strong enough to override that intuition.

So, overall, $2500 of my donation will go to GiveWell for discretionary re-granting, and $500 to GiveDirectly.

Trajectory of Civilization (Category B)

First, I plan to put $2000 into escrow for the purpose of supporting any useful small projects (specifically in the field of computer science / machine learning) that I come across in the next year. For the remaining $5000, I plan to allocate $4000 of it to the donor lottery, $500 to the Carnegie Endowment, and $500 to the Blue Ribbon Study Panel on Biodefense. For the latter, I wanted to donate to something that improved medium-term international security, because I believe that this is an important area that is relatively under-invested in by the effective altruist community (both in terms of money and cognitive effort). Here are all of the major possibilities that I considered:

(As a side note: it isn’t completely clear to me whether the Carnegie Endowment accepts small donations. I plan to contact them about this, and if they do not, allocate the money to the Blue Ribbon Study Panel instead.)

In the remainder of this post I will briefly describe the $2000 project fund, how I plan to use it, and why I decided it was a strong giving opportunity. I also plan to describe this in more detail in a separate follow-up post. Credit goes to Owen Cotton-Barratt for suggesting this idea. In addition, one of Paul Christiano’s blog posts inspired me to think about using prizes to incentivize research, and Holden Karnofsky further encouraged me to think along these lines.

The idea behind the project fund is similar to the idea behind the prize fund: I understand research in computer science better than most other EAs, and can give in a low-friction way on scales that are too small for organizations like Open Phil to think about. Moreover, it is likely good for me to develop a habit of evaluating projects I come across and thinking about whether they could benefit from additional money (either because they are funding constrained, or to incentivize an individual who is on the fence about carrying the project out). Finally, if this effort is successful, it is possible that other EAs will start to do this as well, which could magnify the overall impact. I think there is some danger that I will not be able to allocate the $2000 in the next year, in which case any leftover funds will go to next year’s donor lottery.


Comments sorted by top scores.

comment by Benjamin_Todd · 2016-12-29T12:32:16.962Z · score: 6 (6 votes) · EA(p) · GW(p)

Would love to see more write-ups like this. Great work.

comment by Peter_Hurford · 2016-12-29T19:14:04.294Z · score: 2 (2 votes) · EA(p) · GW(p)

Curious to hear more about why you're using the donor lottery - that seems to be the only part you did not explain.

Also, while I did not expect it to be the case going in, I found your explanation for splitting your donation to be compelling.

comment by jsteinhardt · 2016-12-30T20:46:07.061Z · score: 2 (2 votes) · EA(p) · GW(p)

Thanks. I think my reasons are basically the same as those in this post:

comment by JacobTref · 2016-12-31T12:44:29.383Z · score: 0 (0 votes) · EA(p) · GW(p)

Thanks for this - I found this useful, especially the details on your process for making the decision(s).