The GiveWell Blog

Quick update

I’m going out of town for the next week and will have only sporadic internet access. A few odds and ends:

Flip-flopping

A little over a year ago, we ballparked the cost to save a life from malaria at $200. Now we think it’s closer to $1000. Last August, I wrote that K-12 education is my favorite cause. A week ago, I owned up to moving it to the bottom of my list, and far preferring global health (even if it’s 4x as costly as I originally guessed). And that’s not even mentioning our December Board meeting, where I walked in with three suggestions as to how we should grant and was convinced to change my mind on two of them.

If you like a man who knows where he stands, I’m not your type. I’m a newcomer to all of the many areas we’re studying, and I have a lot to learn. You’re going to see me change my mind again and again, sometimes going in a circle to come back to what seemed all along like common sense (though with updated information and reasoning behind it). Then again, the history of most areas of human knowledge can be described the same way. That’s what you can expect when you (a) have a lot to learn; (b) are willing to learn it.

The reason I’ve been flip-flopping so violently, and will probably continue to do so, is the same reason this project is worthwhile: there is not enough information out there, nor are there the right kind of information aggregators, for a donor to become well-informed in a reasonable period of time. Currently, the only option I know of for an individual donor is to, in effect, take wild guesses about whom to help, how to help them, and which organization to work with in order to do so. Because of this, GiveWell doesn’t need to provide infallible analysis in order to provide a valuable service; instead, we’re working to make our guesses better and better informed. We’re sharing our progress in real-time because we want as many donors as possible to be able to see what we’re finding and improve on their own guesses. We don’t guarantee that our recommendations will stay the same over time; but probabilistically speaking, they will be better and better.

I’m aware that I often sound authoritative and 100% confident, even when I’m not (this is an idiosyncrasy I’ve had all my life, and I am working on it). But if you look past the tone, you’ll see a flip-flopper; and given the high-complexity, low-information work we’re doing, you shouldn’t expect any less.

Don’t take our breadth away

For our first round of grantmaking, we chose to investigate five broad causes, two in the developing world (saving lives and fighting poverty) and three in the developed world (early childhood care; K-12 education; employment assistance).

This decision – doing five causes, instead of narrowing our scope from the outset – had serious costs. Even with all the time we’ve spent – far more than a typical donor can – we still feel that our understanding of each cause is very far from thorough. Trying to deal with all five causes at once has been logistically tough, and we even missed the deadline we set for ourselves for giving out our grants (we awarded only three grants at our December 2007 meeting, and will be awarding the remaining two within the next few weeks). In other words, we absolutely bit off more than we could chew.

Yet as we look to next year, I find myself wanting to bite off even more – to go broader, not narrower. Part of the reason is that doing five causes has allowed us to provide information to a broader set of potential donors; while we didn’t analyze these causes as deeply as I would have liked, I still feel that we have found is more than what existing donor resources offer, and far more than we could find when we were casual donors ourselves.

Doing five causes also had another benefit: while we didn’t become experts in any one cause, we learned enough about each to radically change the way we think about them – and prioritize them. Last August, I wrote that K-12 education was the cause that excited me most; yet having learned more about a donor’s options in each cause – and how much each costs, how reliable each seems, etc. – I’m now most excited about global health, and I’d rank K-12 education last out of our five causes. In a nutshell, though I most want to help Americans take advantage of all the opportunities America offers, I now believe that the developing world’s needs are so much more drastic that I’d rather help them. My new view is still open to revision, but it’s better informed than the one I came in with. And I wonder whether I’d be even more excited about something else, if we’d gotten a chance to look into charities that focus on abandoned children, or on disease research, or on the environment.

It may be more typical for a grantmaker to start its work by picking an area that it can really become an expert in. Donors are often told to start their search by volunteering, so they can see their area of interest up close. But if you care both about how you impact lives and how many lives you impact, I’d argue that your most important decision is the top-level, bird’s-eye one – whom you help, and how. I feel there’s more to be gained by learning a little about all your options than by getting it perfectly right within a predefined scope. Our approach is often frustrating in its lack of depth, but our goal isn’t to become the best at understanding any one area; it’s to give as well as possible.

Rethinking bednets

We granted Population Services International in our Saving Lives in Africa cause, focusing largely on their condom and bednet distribution and promotion programs. Soon after we cut the check, I got into a conversation with someone who questioned whether bednets are effective at all. He pointed me to a paper, “Combating malaria morbidity and mortality by reducing transmission,” which questions whether bednets are likely to have a long-term impact on malaria mortality.

Bednets reduce the number of bites that people receive from malaria-carrying mosquitoes, which in turn reduces incidence of malaria. This has two effects: (a) it reduces malaria mortality; but (b) it also reduces acquired immunity to malaria. The authors of this paper found, empirically, that areas that had lower rates of bites had similar rates of malaria mortality but a different age distribution of deaths. In places with high bite-rates, malaria mortality was restricted to children; in places with low bite-rates, adults died as well. The authors hypothesize that bednet programs may only shift the age at which people die from malaria, and have no impact on the total number of deaths from malaria.

This doesn’t mean bednets are useless. First of all, the analysis in the paper isn’t general enough to cover every case – there could be population configurations such that protecting people during their weakest years is a net benefit. There could be regions with high enough bite-rates that nets merely reduce the number of bites without affecting immunity. Also, even if total morbidity and mortality don’t change, there is definitely value in people living longer before they die. But, if it’s true that reducing mosquito bites can matter much less over the long term than over the short term, this is important when weighing the value of bednets. This paper really highlights what systematic analysis and measuring can do – and what you can miss by skimping on them.

At the moment, we’re still working on our education cause; bednets are something we’re thinking about, not devoting our time to. But if we revisit the cause of aid to Africa next year, we plan to incorporate this research into our analysis, and possibly change our recommendations. We don’t expect our decisions to be perfect; they’re merely our “best bet” given what we know. Enabling anyone to provide feedback on our grant decisions, which refines (or contradicts) our previous understanding, is precisely why we think a public discussion of what charities do and how well it works is necessary.

Rigorous research on aid

Measuring the effect of aid on people’s lives can be difficult, and may never be perfect – but we believe that it can be done, and has been done, both rigorously and practically. Examples can be found on three sites devoted to conducting and/or promoting rigorous evaluation of social programs: Poverty Action Lab, Innovators for Poverty Action, and the Coalition for Evidence-based Policy.

These sites focus on examining and promoting particular sorts of programs (both in policy and charity), rather than on recommendations for donors; we’re working on determining how much of their information can be used to help with a donation decision. As it stands, though, all three provide good and plentiful examples of of how evaluations can be performed that are practical, rigorous, and ultimately capable of advancing our knowledge of what is likely to work. If you know of more sources of such evaluations, please share.

Developing world

The Abdul Latif Jameel Poverty Action Lab and Innovations for Poverty Action are both devoted to researching interventions aimed at alleviating developing-world poverty.

Both focus explicitly on conducting randomized controlled trials – studies that, in a nutshell, incorporate a “lottery” aspect into choosing a program’s clients, and compare those who were randomly chosen to participate to those who were randomly chosen not to. Differences between the two groups can often be attributed with reasonable confidence to the program itself, without many of the concerns over bias that can cloud the results of other kinds of studies.

Both of these organizations make their publications freely available, directly from their website. The rigor and availability of these studies makes it possible for a casual user to learn a great deal about what is likely to improve people’s lives in the developing world (for example, J-PAL provides a good deal of evidence for the positive potential of deworming programs).

U.S.

We’ve known about the above resources for a while, but only recently learned of the Coalition for Evidence-Based Policy, which has collected an impressive set of information on what works in developed-world causes such as child care, education, and employment. Like the resources above, this website focuses on studies using a randomized controlled trial approach.

Many of these studies provide direct evidence of particular charities’ effectiveness, and some of the others are useful in setting a general approach (for example, two of the studies they list – which we found through other methods – are cited in our earlier writeup on early childhood care, and influenced the way we think about this issue).

We plan to look closely at the studies on this website; we believe it has provided a valuable service in collecting some of the more rigorous evidence on what works, and that we’ll be able to use it to learn a great deal about how to accomplish as much good as possible with charitable donations. We’ll be sharing our developing thoughts as we go through its materials.

Evaluating charter schools, continued

We appreciate the feedback we got on our last blog post. This post will address the substantive issues raised by commenters.

Evaluation and test scores

We aren’t seeking to settle the question of how to measure success in education. That would be biting off far more than we can chew. Instead, we have largely invited applicants to make their case in their own terms, and we aim to grant the one whose case we find the most convincing. This is an unavoidable choice for any donor; our goal is not to seek an unrealistic level of certainty, but simply to put far more time and effort into it than a typical donor can. That said, here are our thoughts on what we find compelling as a measure of success:

Ideally, we’d like to evaluate these organizations based on how well they impact the long-term, life outcomes for the students they serve – this would involve measures such as earnings, criminal record, or maintaining health insurance. But based on general conversations with highly experienced people in the fields of education-related grantmaking and research (including a professor at Harvard’s Graduate School of Education and an experienced program officer at a relevant foundation); conversations with our applicants; and the 1-2 days we spent digging through NCES, IES, and JSTOR/Google Scholar/etc., we don’t believe we’re going to be able to connect K-12 programs to these sorts of outcomes, even loosely, because this type of evaluation does not exist. We also don’t believe we’re going to be able to connect them to college performance, matriculation and graduation, etc., at least in the case of the particular applicants we’ve been discussing, because we’ve asked for this information and they have not provided it.

However, we have seen these applicants point to test scores as evidence for effectiveness, and while this measure leaves a lot to be desired, we still think it’s worth strong consideration. As many have pointed out, improved test scores could be indicative of “teaching to the test” rather than a better education, but given that we are trying to help disadvantaged students who are frequently deficient in basic math and reading skills, we’d guess that improving their ability to do well on reading and math tests more likely than not corresponds with improving their education and prospects. We would guess that improved classroom management (i.e., keeping students attentive – something we believe is a major issue, based on conversations with teachers who work in inner-city public schools), which likely indicates a better classroom environment for education, would also correspond, more likely than not, with improved test scores.

The bottom line is that while this measure leaves a lot unanswered, there are many reasons to see it as meaningful – yet the research we’ve seen does not address specific questions that we feel could be addressed with the information available. We are specifically referring to the questions of (a) whether students are systematically entering these schools with higher performance to begin with; (b) how much of the effect on test scores can plausibly be attributed to attrition. We believe both of these questions could be better (though still far from perfectly) answered through the process outlined before, i.e., examining:

  • The difference in the test scores of our applicants’ students versus students in schools in the same area.
  • The difference in the change in test scores of our applicants’ students versus students in schools in the same area – particularly for the year in which students enter the schools in question.
  • The trajectory of the change in test scores. (I.e., does it all happen in one year or is it consistent over multiple years)
  • What proportion of students apply to the lottery, and what proportion leave each year, to get a sense of how plausible these factors are in explaining any difference in test scores.

More specific questions

Michelle: thanks for your recommendations of sites to look at. These are our thoughts:

  1. We looked at ERIC several months ago for contextual research on educational evaluation, but should have revisited it for papers on these applicants specifically. We’ve now gone back and found a few papers on KIPP (including this one that looks particularly interesting), and we’ll make sure to look at all of them as we do this research. This was a very helpful suggestion, and we appreciate it.
  2. http://ies.ed.gov/ncee/ – we’ve looked before at what seem to us to be the most relevant areas in this resource. Specifically, I’ve looked at the What Works Clearinghouse: A central and trusted source of scientific evidence for what works in education and the Evaluation Studies of the National Center for Evaluation. Both areas have a great deal of information on education but none that deals directly with either our applicants or their methods.
  3. http://www.greatschools.net/ – we looked at this earlier in the year and didn’t find it to have the kind of information we’re looking for. It offers parent reviews (usually only a handful, if that); a “Great Schools rating” (which compares a school’s test scores to the the state average; and a link to the test scores available on the state websites. Is there something else here that we missed?

Matt, Andrea, Crystal:

We believe that community-driven research and grantmaking is an idea that has potential, and there are projects (such as Great Nonprofits) that are actively working on it. However, this approach carries an additional set of challenges that we don’t feel equipped to take on. Based on our own experience trying to do this work part-time, we believe it is important to get a starting point that is driven by full-time, grant-backed research. We set our own research approach and encourage those who are interested in the issues to give feedback on it; that, not asking that our process be designed from scratch by our readers, is the intent of these posts.