In the fourth quarter of 2018, donors gave a combined $7.6 million in funding to GiveWell for making grants at our discretion. In this post, we discuss the process we used to decide how to allocate this $7.6 million, as well as an additional $0.8 million designated for grants at GiveWell’s discretion held by the Centre for Effective Altruism and $1.7 million in the EA Fund for Global Health and Development (which is managed by GiveWell Executive Director Elie Hassenfeld), for a total of $10.1 million in funding. We’re so grateful to have a community of supporters that relies on our work and is open to allowing us to allocate funding to the top charity or charities we believe need it most.
We noted in November 2018 that we would use funds received for making grants at our discretion to fill the next highest priority funding gaps among our top charities. At the time, we wrote:
If we had additional funds to allocate now, the most likely recipient would be Malaria Consortium to scale up its work providing seasonal malaria chemoprevention.
Based on our analysis in 2018 as well as updates we have received from our top charities since that time, we have decided to allocate this $10.1 million in funding to Malaria Consortium’s seasonal malaria chemoprevention (SMC) program. The SMC program consists of treating children with a course of preventive antimalarial drugs during the time of year when malaria transmission is greatest.
We continue to recommend that donors giving to GiveWell choose the option on our donation form for “grants to recommended charities at GiveWell’s discretion” so that we can direct the funding to the top charity or charities with the most pressing funding needs. For donors who prefer to give to a specific charity, we note that if we had additional funds to allocate at this time, we would very likely allocate them to Malaria Consortium’s seasonal malaria chemoprevention program, which we believe could use additional funding for highly cost-effective work, even after receiving the $10.1 million in funding mentioned above.
What Malaria Consortium will do with additional funding
We wrote in detail about Malaria Consortium’s room for additional funding for its SMC program as of November 2018 here. We also spoke with Malaria Consortium for an update in early 2019. Our understanding of what Malaria Consortium will do with additional funding for its SMC program (including this $10.1 million), in order of priority, is as follows:
- Contribute to filling a potential funding gap in Burkina Faso, the existence of which depends on the actions of other funders. If the gap materializes, filling it could require up to $3 million in addition to the $5 million that Malaria Consortium expects to have remaining on hand after what’s currently budgeted for 2019 and 2020.
- Scale up further in Nigeria and Chad in 2020. Our impression is that, given drug production constraints and the length of time needed to plan for the implementation of a campaign, receiving additional funding now rather than in late 2019 (when we plan to make our next recommendation to Good Ventures to fund top charities) increases the likelihood that Malaria Consortium can use the funding for 2020 programs.
- Fund the continuation of programs into 2021. Malaria Consortium has received enough funding to maintain its programs through 2020, but has not allocated funding to maintain programs beyond 2020. To maintain the 2019 program scale in 2021, Malaria Consortium would require an additional $14.8 million in funding, assuming no unbudgeted costs (e.g., additional scale-up) are incurred before then. Our impression is that there is little difference between receiving funding now and in late 2019 in terms of Malaria Consortium’s ability to use it to fund 2021 programs.
Overview of our decision-making process
In early 2019, we checked in with each of our top charities that seemed like plausible recipients of this funding, based on our assessment of their funding needs in late 2018. In general, these check-ins indicated that there weren’t updates in the marginal funding opportunities at our top charities. More details follow in the rest of this post. We refer below to “funding gaps,” which we use to describe the amount of additional funding that we believe could be used effectively (the gap between what charities could use and what they have on hand).
After considering each funding opportunity, we came to believe that the two most promising funding gaps are Malaria Consortium’s for SMC and the Against Malaria Foundation’s. The Against Malaria Foundation (AMF), which distributes insecticide-treated nets to prevent malaria, currently has the opportunity to fund nets in the Democratic Republic of Congo (DRC); we expect a high level of cost-effectiveness for this opportunity due to high malaria rates in DRC.
We discuss the comparison between these two funding opportunities in the next section. We followed the six principles described in this post in deciding between these two opportunities and ultimately decided to grant these funds to Malaria Consortium’s SMC program.
Comparing Malaria Consortium and AMF
What AMF would do with additional funding
In February 2019, AMF told us it had $62.8 million in uncommitted funds, which it plans to commit to a few 2020 net distributions (these are not yet formal commitments—as of February, AMF had not yet signed agreements with government partners to fund these distributions). AMF told us that if it had additional funding at this time, it would allocate those funds toward closing the gap in funding for nets in DRC for 2020. AMF has also shared more detailed information with us about its plans for the funds it holds and its negotiations with country governments; that information is confidential at this time. AMF reports that the total need for funding in DRC for a universal coverage campaign across eight provinces is between $35 million and $45 million.
Comparison using our principles
Principle 1: Put significant weight on our cost-effectiveness estimates.
We estimate that Malaria Consortium’s SMC program and AMF are similar in cost-effectiveness but that AMF is somewhat more cost-effective on the margin.
The most recent version of our published cost-effectiveness model at the time we made this decision (2019 version 2) estimates that Malaria Consortium is 8.5 times as cost-effective as unconditional cash transfers (“8.5x cash” for short) and AMF’s work in DRC is 10x cash (calculated by making a copy of the spreadsheet and selecting DRC in the “Country selection” tab for AMF).
Our best guess of the cost-effectiveness of these two opportunities incorporates several additional adjustments. See this footnote for details.1We adjust for our guess about how factors that are not formally modeled would change the results. For details, see column AB of this spreadsheet, sheet “Consolidated funding gaps.” This adjustment replicates what we did to arrive at our recommendations at the end of 2018. (More in this blog post.)
For both AMF and Malaria Consortium, we update the country-specific malaria mortality data to be more recent (2017 instead of 2016 figures). For Malaria Consortium, we correct what we believe to be an error in our model (which makes a roughly 5% difference in the final cost-effectiveness estimate), and we have also used an updated method (compared to what we used previously) to account for the fact that the age range of children targeted for SMC differs slightly from the age ranges given in the available age-specific mortality data (3 to 12 months vs. 1 to 12 months). We plan to incorporate these changes into the published model in the future.
For AMF we make several additional adjustments:
– We use DRC-specific cost data and adjustment for insecticide resistance. Our published cost-effectiveness model uses average data for these two parameters when a specific country is selected in the “Country selection” tab.
– We adjust the lifespan of a net downward by 10% for DRC. This is a rough guess based on findings from AMF’s past monitoring in DRC that suggested that nets wore out more quickly than in other locations where AMF has funded nets.
– We use a smaller fungibility adjustment than we do for other countries to capture the lower probability (compared to other countries where AMF operates) that DRC would reallocate funding that it receives from the Global Fund to Fight AIDS, Tuberculosis and Malaria to cover part of the funding gap for nets if AMF did not fund the distribution. Our understanding from conversations with AMF and the Global Fund is that DRC is relatively underfunded by the Global Fund, due to caps on how much it can spend in a single country and DRC’s large malaria burden, and so our guess is that there is less scope for reallocating funds from other malaria interventions to nets.
– We model most marginal funding as going to DRC, with some funding going to other countries. We do so firstly because we believe having additional funding on hand may lead AMF to commit more funding to other countries than it otherwise might, and secondly because of the possibility of AMF deciding not to commit additional funding or to cap the amount it provides to DRC if it has concerns about the quality of the 2019 distributions it is funding in DRC.
– We adjust AMF’s cost-effectiveness downward by 5% to account for the fact we recently learned that AMF has skipped some post-distribution surveys, leading us to update our estimate of potential misappropriation given missing monitoring results (see this spreadsheet).
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With these updates, our best guess of the cost-effectiveness of these two opportunities is that additional funding to Malaria Consortium is 8.3x cash and to AMF is 10.0x cash, implying that AMF is 21% more cost-effective.
This estimate has not yet been vetted, so is more likely to contain errors than our published cost-effectiveness model. To enable us to pursue other research work throughout the year, we thoroughly revisit our comparisons between top charities once per year for our annual recommendations refresh in November. When making recommendations at other times of year, we ask ourselves “Have there been any major changes that should lead us to reconsider what we concluded last November?” In this case, we adjusted some of the inputs into our cost-effectiveness model to reflect what we have learned since November and found that the results were broadly similar to our published model. At this level of difference in estimated cost-effectiveness, which is small in relation to the uncertainty in the model, we are inclined to put substantial weight on the other principles discussed below, and particularly on Principle 2.
We are also somewhat concerned that funding AMF may create an incentive for AMF to prioritize less cost-effective spending opportunities over more cost-effective ones, thus reducing AMF’s overall cost-effectiveness in the long run. We estimate that the three other countries AMF is in negotiations with are less cost-effective places to work than DRC. If we were to provide funding to AMF for work in DRC, we could be indicating that a “gaming” strategy—in which an organization tells us that marginal funds would go to a more cost-effective opportunity because its funds on hand have been allocated to less cost-effective opportunities—results in additional funding beyond what it would receive if it allocated funding to more cost-effective opportunities first. We don’t want to create an incentive for organizations to prioritize funding less cost-effective opportunities ahead of more cost-effective ones. We haven’t estimated the potential impact of this factor quantitatively.
Principle 2: Consider additional information about an organization that we have not explicitly modeled.
While we incorporate many subjective factors into our cost-effectiveness models, there are additional costs and benefits that we believe may affect the true cost-effectiveness and that we do not believe are adequately captured by our models. Such uncaptured factors might include, for example: information that charities have and we lack about how to best to allocate funding among different locations; beneficiary experiences with the program that affect how much they benefit from it; and the degree to which charities have indirect impact through conducting research, acting as leaders in their fields, or bringing in new sources of funding.
As we generally do not have the opportunity to observe or measure these costs and benefits directly, we consider them qualitatively through proxies. Such proxies include: our perception of how thoughtfully charities answer our questions; whether they are transparent about mistakes they make; how successful they have been in meeting operational goals (such as hiring, geographic expansion, and instituting new technical systems); whether they conduct and publish research; the frequency of errors in the information they share with us; and whether they meet agreed-upon timelines for sharing information.
We plan to write more about factors that we consider outside of our CEA model in the next few months, as well as assessments of each of our top charities on the proxies we use.
Overall, we assess Malaria Consortium as consistently stronger on the above qualitative proxies than AMF. Both organizations stand out from the vast majority of organizations we have considered for their transparency about both positive and negative results and their track record of collecting information about how their programs are performing. They have both spent a large number of hours over several years (for Malaria Consortium) or over a decade (for AMF) responding to our questions and document requests. This comparison is a relative one, and one that we have not fully justified publicly (but plan to shortly). Based on our experiences working with both organizations, we believe that Malaria Consortium has shown signs of having stronger organizational management.
Principle 3: Assess charities’ funding gaps at the margin, i.e., where they would spend additional funding, where possible.
We’ve accounted for what Malaria Consortium and AMF are likely to do with marginal funding in our cost-effectiveness estimates, above.
Principle 4: Default towards not imposing restrictions on charity spending.
On this principle, there’s no difference between the two opportunities. Funding provided by GiveWell to either program would not be restricted.
Principle 5: Fund on a three-year horizon, unless we are particularly uncertain whether we will want to continue recommending a program in the future.
On this principle, there’s no difference between the two opportunities.
Principle 6: Ensure charities are incentivized to engage with our process.
This principle favors Malaria Consortium, which has consistently provided requested information that aids us in understanding and evaluating their program. AMF has more often been delayed or inconsistent in providing the information we’ve requested.
Other options we decided against (our other six top charities)
Schistosomiasis Control Initiative
The Schistosomiasis Control Initiative (SCI)’s room for additional funding is highly dependent on how much funding it receives from the UK’s Department for International Development (DFID) over the next three years. As of the time we were making this decision, we had not yet received an update on the level of funding that DFID plans to provide. More information is available in our review.
Helen Keller International’s vitamin A supplementation program
Helen Keller International (HKI) told us that it plans to use the funding it has already received for vitamin A supplementation as we expected: to continue its work in Mali, Burkina Faso, Guinea, and Côte d’Ivoire and to restart work in Niger. With additional funding it would prioritize work in:
- Kenya, where it could spend about $2 million over three years.
- Cameroon, where it could spend about $4.2 million over three years.
- Nigeria, where it could spend $0.6 million to conduct a study of the impact of technical assistance work.
- DRC, where it could spend about $9 million to reopen a country office and fund vitamin A supplementation over three years.
In November 2018, we estimated that these opportunities were less cost-effective than Malaria Consortium’s SMC program.2For HKI’s programs, see this spreadsheet, sheet “Consolidated funding gaps,” column AB. For Malaria Consortium’s overall SMC program, see same spreadsheet, sheet “Cost-effectiveness results,” row 6. jQuery("#footnote_plugin_tooltip_2").tooltip({ tip: "#footnote_plugin_tooltip_text_2", tipClass: "footnote_tooltip", effect: "fade", fadeOutSpeed: 100, predelay: 400, position: "top right", relative: true, offset: [10, 10] }); We did not revisit those calculations as part of the quarterly allocation process.
Evidence Action’s Deworm the World Initiative
Deworm the World has told us that it plans to follow the prioritization laid out in our recommendation to Good Ventures. That prioritization leaves the following opportunities unfunded:
- Extending its funding runway beyond 2020 to 2021.
- Holding sufficient funding for 2020 programming in India that is currently supported by other funders.
- Improving financial stability via increased reserves.
- Expanding to new locations (two states in India and one state in Nigeria).
At the end of 2018, we estimated that these opportunities were 15.0x cash on average; however, that average was largely driven by the opportunity to expand to two new states in India, which is relatively low priority for Deworm the World because it is prioritizing financial stability over further expansion. With that in mind, we prefer to allocate funding to Malaria Consortium.
Sightsavers’ deworming program
Sightsavers indicated to us that it plans to follow the funding priorities it presented in 2018, with the exception of one area where there is no longer room for more funding. As a result of that change, Sightsavers has sufficient funding for all remaining opportunities to fund deworming that it currently has capacity to implement.
END Fund’s deworming program
We didn’t ask the END Fund for an update on its funding needs in early 2019, as we didn’t expect that an update would lead us to allocate discretionary funding to its deworming program. More context for this decision is available here.
GiveDirectly
We didn’t ask GiveDirectly for an update on its funding needs in early 2019, as we didn’t expect that an update would lead us to allocate discretionary funding to its work. More context for this decision is available here.
Notes [ + ]
1. ↑ We adjust for our guess about how factors that are not formally modeled would change the results. For details, see column AB of
this spreadsheet, sheet “Consolidated funding gaps.” This adjustment replicates what we did to arrive at our recommendations at the end of 2018. (More in
this blog post.)
For both AMF and Malaria Consortium, we update the country-specific malaria mortality data to be more recent (2017 instead of 2016 figures). For Malaria Consortium, we correct what we believe to be an error in our model (which makes a roughly 5% difference in the final cost-effectiveness estimate), and we have also used an updated method (compared to what we used previously) to account for the fact that the age range of children targeted for SMC differs slightly from the age ranges given in the available age-specific mortality data (3 to 12 months vs. 1 to 12 months). We plan to incorporate these changes into the published model in the future.
For AMF we make several additional adjustments:
– We use DRC-specific cost data and adjustment for insecticide resistance. Our published cost-effectiveness model uses average data for these two parameters when a specific country is selected in the “Country selection” tab.
– We adjust the lifespan of a net downward by 10% for DRC. This is a rough guess based on findings from AMF’s past monitoring in DRC that suggested that nets wore out more quickly than in other locations where AMF has funded nets.
– We use a smaller fungibility adjustment than we do for other countries to capture the lower probability (compared to other countries where AMF operates) that DRC would reallocate funding that it receives from the Global Fund to Fight AIDS, Tuberculosis and Malaria to cover part of the funding gap for nets if AMF did not fund the distribution. Our understanding from conversations with AMF and the Global Fund is that DRC is relatively underfunded by the Global Fund, due to caps on how much it can spend in a single country and DRC’s large malaria burden, and so our guess is that there is less scope for reallocating funds from other malaria interventions to nets.
– We model most marginal funding as going to DRC, with some funding going to other countries. We do so firstly because we believe having additional funding on hand may lead AMF to commit more funding to other countries than it otherwise might, and secondly because of the possibility of AMF deciding not to commit additional funding or to cap the amount it provides to DRC if it has concerns about the quality of the 2019 distributions it is funding in DRC.
– We adjust AMF’s cost-effectiveness downward by 5% to account for the fact we recently learned that AMF has skipped some post-distribution surveys, leading us to update our estimate of potential misappropriation given missing monitoring results (see this spreadsheet).
2. ↑ For HKI’s programs, see this spreadsheet, sheet “Consolidated funding gaps,” column AB. For Malaria Consortium’s overall SMC program, see same spreadsheet, sheet “Cost-effectiveness results,” row 6. function footnote_expand_reference_container() { jQuery("#footnote_references_container").show(); jQuery("#footnote_reference_container_collapse_button").text("-"); } function footnote_collapse_reference_container() { jQuery("#footnote_references_container").hide(); jQuery("#footnote_reference_container_collapse_button").text("+"); } function footnote_expand_collapse_reference_container() { if (jQuery("#footnote_references_container").is(":hidden")) { footnote_expand_reference_container(); } else { footnote_collapse_reference_container(); } } function footnote_moveToAnchor(p_str_TargetID) { footnote_expand_reference_container(); var l_obj_Target = jQuery("#" + p_str_TargetID); if(l_obj_Target.length) { jQuery('html, body').animate({ scrollTop: l_obj_Target.offset().top - window.innerHeight/2 }, 1000); } }
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