Telecommunications in LMICs

1. Preamble

This document is a shallow investigation, as described here. As we noted in the civil conflict investigation we shared earlier this year, we have not shared many shallow investigations in the last few years but are moving towards sharing more of our early stage work.

This is a shallow on telecommunications infrastructure in low- and middle-income countries (LMICs). I spent about three weeks on it, during which I read major papers in the field and spoke to about ten experts. This document has been read and discussed by Open Philanthropy’s Global Health and Wellbeing cause prioritization team.

We’re continuing to look at the robustness of the social scientific evidence on telecommunications. Many of the papers are quite new and remain unpublished, which limits our ability to review the data behind them in detail. However, we think that the initial evidence is quite positive, and we think that someone looking to launch an impactful organization might want to examine this space more closely. We think there may be both nonprofit and for-profit ideas worth pursuing (the latter could still have large social returns, and provide benefits from an earn-to-give perspective). We see Wave as an interesting model for the latter.

We welcome comments either posted to the Effective Altruism forum, emailed to me at [email protected], or shared via this Google Form.

1.1 Major sources of uncertainty

It seems worth flagging two major uncertainties that this shallow does not resolve:

  1. I am quite unsure what the expansion path for telecommunications technologies looks like. Technologies often spread much faster than expected; it is possible that philanthropic investment is less needed/marginally useful here than I think it is.
  2. The literature on telecommunications access and income is still quite limited; there are really only two randomized controlled trials (RCTs), both of which have relatively small sample sizes. In addition, there’s only one RCT on cellphone coverage and the other studies in this literature use difference-in-differences with two-way fixed effects, which may yield misleading results. We’d like to have more evidence and are currently considering funding more research in this area.

2. Summary

2.1 Why telecoms?

For the purposes of this document, “telecoms” includes internet access, fixed-line telecommunications infrastructure, and cellular phone access.

We did some initial work on infrastructure in general.  Investment in telecoms looked unusually promising in catalyzing income growth.  Two RCTs find that access to a form of telecommunications increased incomes by 20% in the first year.  Therefore, we decided to look into the topic further.

This shallow seeks to answer the following questions:

  • What is the current status of information and communication technology (ICT) infrastructure? Where is ICT infrastructure worst?
  • What are the best tactics to improve ICT infrastructure?
  • Should Open Phil fund any of those tactics?

2.2 Who is already working on it?

Mostly, the market is solving access to at least some telephony and internet – in 20 years, mobile phone usage has increased approximately 85 percentage points. In sub-Saharan Africa, where mobile phone usage has lagged much of the rest of the world, access to 3G networks increased 55 percentage points in the six years through 2020.[1]In 2014, Steve Song gave a talk noting that 20% of Africans had access to 3G. By 2020, GSMA said that 75% of Africans have access to 3G. This increase has happened without particular effort from philanthropists, and with significant barriers to usage. However, neither access nor usage of telecoms are universal, growth is beginning to slow, and there are still large gaps to fill.  This is not uncommon for new technologies; initial adoption is generally much faster than rollout to the last 10-15% of users.

ICT is relatively light on philanthropic investment, likely because it is an active area of commercial investment. I’m somewhat uncertain on total funding, as several entities either don’t report their spending or don’t clearly separate it from other spending, but I am fairly certain that it is not a central focus area for any major foundations.

There are four major areas where there is at least some ICT funding, none of which I have managed to come up with a good total investment figure for.

  1. The Gates Foundation seems to be the only large foundation that is very active in this area. Much of their funding is targeted specifically towards women and/or financial services; they are less interested in ICT as a category than ICT as a catalyst for other things. I’ve had difficulty figuring out what their total ICT spend is, because ICT-centric projects are not necessarily categorized as being such. They funded the original Phillip Roessler RCTs on cellphone provision (targeting women in particular).
  2. There are a handful of ICT-specific foundations – e.g. the Internet Society Foundation (~$50M a year), the Web Foundation (~$4M a year), the Association for Progressive Communications (~$4M a year), ISIF Asia (~$2M a year). This might be 100M per year if you add up all the small foundations (though that’s potentially high/optimistic).
  3. Commercial entities also do some amount of philanthropic work – e.g. Google.org’s technology and innovation arm, the Ericsson for Good initiative, Meta’s Connectivity, and Data for Good.

While their overall footprint is relatively large — Google.org gives about $100M per year, and Meta is obviously a large company — their ICT-specific spending appears to be a relatively small percentage of that.  If I were to guess, I’d say the companies spend perhaps 50M together on more or less philanthropic ICT work — but this is a highly uncertain estimate.

  1. Commercial non-philanthropic spending is potentially very large, but the overlap with our interests (work that makes cell phones/internet access available to new users) is very unclear.

However, there’s clearly a lot of commercial capital overall. Orange Telecom is currently building (pg. 41) 2000 towers in the DRC to (ostensibly) cover 10M additional people in rural areas. Likewise, Google just made first landing of the Equiano cable, their third private international cable, which connects Portugal to West and South Africa (with 20x the capacity of previous cables to the region), which probably cost around $400M. Safaricom is spending $500M expanding to Ethiopia, and Africell is spending $200M on an Angola expansion. Capital spending per year on telecoms in sub-Saharan Africa is ~$10B.

I would guess that total philanthropic spending on telecoms access is probably less than $150M a year, but I am (again) highly uncertain. Adding in relevant commercial spending could vastly increase that number.

2.3 What could a new philanthropist do?

Since most interests in the space are commercial entities, they are by definition interested in commercially viable products, and somewhat less interested in the social returns to ICT infrastructure. This means that rural and/or very poor communities are less likely to receive ICT infrastructure.

We could target grants towards these communities – where there might be a large percentage increase in income, but from an extremely low base. These communities might not be commercially viable for telecoms, but investing in them could be above our cost-effectiveness bar. There is pretty good evidence that there are large economic gains to be had in going from no connectivity to some connectivity. (This is discussed further in the importance section.)

The completely unserved populations are now quite small – perhaps 3%-9% of the world’s population.[2]It’s possible that this number is much larger — see my notes on the global coverage gap. These ~250-750 million people are (somewhat by definition) difficult to reach, but we could invest in some of the companies working on reaching them. One example is Africa Mobile Networks, which is building “network-as-a-service” for mobile operators (pg. 40).

It may be more promising to not only focus only on strictly increasing coverage, but also on decreasing the cost to use mobile devices in areas that already have (at least some) coverage. Most of the ways to drive down cost (competition, deregulation, additional infrastructure) will also likely do something to expand coverage or improve the quality of coverage where it exists now.

These include:

3. Importance

The limited existing literature suggests that improving communications technology is a surprisingly good way to improve incomes. This appears to be true both when expanding coverage and expanding access, and for both adding cell coverage and internet coverage.[3]Indeed, I am sometimes a little sloppy in distinguishing between the two. The results are remarkably consistent and large.

When expanding coverage, the economics literature has found:

  • In the Philippines, an RCT showed that gaining access to a community network increased incomes 17%, with those who could actually place calls from home increasing their incomes 28% in fourteen months. This would be a 7000x return in our units given their per-tower costs.
  • In Senegal and Tanzania, a quasi-experimental study found that access to 3G increased incomes 14% and 7% in a year. This would be equivalent to a 3500x-7000x return if building a tower costs roughly the same as it does in the US.
  • A similar quasi-experimental study in Nigeria found that access to mobile broadband increased incomes 5.8% in a year, 7.8% in two years, and 9.2% in three years. Based on these numbers, a tower would meet our cost-effectiveness bar if it covered ~2200 people.
  • In sub-Saharan Africa, a quasi-experimental study exploiting the rollout of subsea cables showed that gaining access to improved internet raised employment by 7% and GDP/capita by 2%.

When expanding access:

  • An RCT in Tanzania showed providing people with phones boosted incomes 7%, and providing people with smartphones boosted incomes 20% in a year. Note that this was true even though 88% of households already had access to a feature phone before the RCT.

Another way of looking at impacts is to look at studies of products enabled by mobile expansions, such as mobile money. Suri and Jack find that MPESA lifted 2% of Kenyan households out of extreme poverty – I think a naive back-of-the-envelope calculation (BOTEC) based on that analysis would imply that MPESA increased average consumption by 3.4%.[4]They say that 2% of Kenyan HHs exit extreme poverty based on MPESA overall. The coefficient on “leave extreme poverty” w.r.t. “agent density” is -0.007, so 0.02/0.007 ~ 2.9x multiplier on that coefficient. The coefficient on “log(per capita consumption)” is 0.012, so 0.012*2.9 ~ 0.034. Having this large of an effect from mobile money alone is another credible signal of large total impacts.

I think these results are positive and consistent enough to suggest that telecoms access gives at least a 5% income boost, and more likely a >10% income boost. That is an extremely “big if true” result.

For instance, a very rough estimate suggests if this is true, perhaps 9% of Africa’s growth in the last two decades has been from increased cell coverage, and an additional 2%-8% came from growth in internet usage. Thus, expanded access to telecommunications alone could explain ~⅙ of the growth Africa has experienced from 2000 to 2020.

A similar macro BOTEC suggests that increasing usage of mobile broadband in sub-Saharan Africa to South Asian levels (28% usage → 34% usage – which is only a modest change compared to high-income country levels of usage) would be worth $171 – $342 billion[5]Depending on whether you expect a 5% income increase or a 10% income increase to Open Philanthropy, using our framework for valuing income increases.

4. Neglectedness

Mobile communications is not the most neglected of topics when viewed in terms of total spending, as global telecoms spending is somewhere around 1.6 trillion dollars a year. But this is obviously not spent evenly around the globe; US telecom providers spend about $226/person/year on capex, while African ones spend about $13/person/year.

I found it more helpful to separately consider the number of people who have no coverage (the coverage gap) and the number of people who do not use mobile devices (the usage gap).

4.1 Coverage Gap

The coverage gap is closing fairly rapidly over time. GSMA claims that 93% of the world’s population currently has access to 3G or better mobile data; the International Telecommunications Union claims it is 94%, with an additional 3% having access to 2G data. This would leave about 600 million people without access to coverage.[6]Note that for the above I am considering mobile internet only. In the near future, satellites in low orbit will make it possible to access broadband in almost all parts of the world in the near future. However, satellite internet is quite pricey. Starlink terminals are currently $500 loss-leaders … Continue reading This is down from 750 million just two years before; if coverage continued to increase at that rate, it would take just eight years to reach global coverage.

However, this data is likely to be optimistic; it is based on self-reported data by telecoms, who are likely to have incentives to overstate how good their networks are. As I noted above, I am uncertain about this data, and it is possible that the number of people with no cell phone coverage is substantially greater than 600 million.

I do think it’s likely that >90% of the world has access to cell service, but I’m not willing to swear to any exact percentage. I’d estimate the true coverage gap is somewhere between 3% (the number claimed by GSMA) and 9% (3x what GSMA claims). This would mean ~240M-710M people lack coverage globally.

4.2 Usage Gap

If defined like the coverage gap, the usage gap would be the percentage of people who have access to any kind of cell phone coverage, but don’t use it.  But for reasons I frankly don’t understand, this is almost never what people actually mean by the usage gap. Indeed, finding that number is fairly difficult; since SIM swapping and sharing phones is common in low and middle income countries, good estimates of the percentage of the population with access to a cell phone are thin on the ground.

My guess is that most but not all residents of L&MICs have access to a feature phone, as surveys in several sub-Saharan Africa countries suggest that about 80% of people have access to a phone and the number of subscriptions is over 100 per 100 people. This is likely less true the poorer the country you consider; the number of subscriptions / 100 people in LICs is nearly 50% lower than it is in MICs.

Instead, the “usage gap” generally actually means the percentage of people who have theoretical access to mobile internet but do not use it. This is now about 6x the percentage that don’t have any access, or about 43% of the global population. Usage is lower among the groups you would expect – rural residents (37% less likely to use mobile broadband),[7]Rural coverage can be 40X the cost of urban coverage. lower income people, women (20% less likely to use mobile broadband), speakers of minority languages, etc. Like the coverage gap, the size of usage gap is decreasing over time – but the experts we spoke to were less than convinced that usage will ever be universal.

The most common reason for people not to use telecom services is the cost of both the device and the coverage. Per the GSMA, an internet-enabled device costs an average of 44% of monthly income in a low or middle income country. Philanthropic investment is unlikely to change device costs, but we might be able to reduce tariffs (often 7-10% of the purchase price) through policy work.

Even if you have a phone, though, the cost of using data can be prohibitive in developing countries. In sub-Saharan Africa, for instance, 2 GB of data can cost 10-20% of monthly income, and it is fairly obvious why internet penetration in Nigeria is 2x that of Togo (see image below).

Image from Google report on the impact of the Equiano subsea cable

Prices are dropping over time — GSMA reports that the price of a marginal GB of data has dropped 40% in four years – but I think we could speed this process along.

It’s not clear that telecoms companies have the incentives to lower their prices as much as possible – many are monopolies or duopolies – but we could advocate for changes. As physical infrastructure improves, regulatory costs decrease, or competition increases, the marginal GB becomes cheaper, and the marginal consumer becomes more likely to be able to afford to use mobile internet.

5. Tractability

Possible “Grant Ideas”

All of these are somewhat more nebulous than I would like; I am not sure what organization you would literally write a check to in order to make these things happen. In many cases, the ideal organization would be a company doing this work to which we could potentially provide low-cost capital, which has different costs than a typical grant.

I split these into two sections — possible grants that would address the coverage gap, and possible grants that would address the usage gap.

5.1 Coverage Gap

5.1.1 White-Label Tower Companies

In the US, many cell phone towers are owned by companies that are not the telecoms that run services through them. This is not true elsewhere, where towers are largely built, owned and maintained by the telecoms. This is less than efficient – if a new carrier wants to expand into an area, they have to build a new set of towers, since they cannot use their competitors’ existing towers.

The Tribune Express cites (without a source) that “[in Pakistan] a dismal reality is that 40% of the 34,000 towers are just 300 metres apart,[8]Cell phone towers should be 1-2 km apart. which results in wastage of $1 billion worth of capital due to the existence of parallel towers at close distances.” In many places, this can make coverage expansion unviable. The population density might be enough to support one company and one infrastructure buildout, but certainly not three or four.

This might also allow telecom companies to lower prices. If each company must complete a full build-out, they must also pay for said full build-out. If companies are sharing towers, the cost per company is lower, and the amount that the company must recoup from their customers is also lower. Thus, this intervention might be able to address both the coverage gap (by making expansion into new areas more economical) and the usage gap (by lowering the cost of service in all areas).

There is at least one group working on this in Pakistan. It appears to be an incumbent telecom company, so it’s not clear if they need funding. African Mobile Networks and BRCK are working on related issues in Africa (though BRCK is building a wifi rather than mobile solution).

5.2 Usage Gap

5.2.1 More Subsea Cables

Most internet traffic is processed via subsea cable. Some countries in sub-Saharan Africa have enough undersea cables to have reasonable bandwidth, but some countries (particularly on the West African coast) are still underserved. The more cables serve a country, the cheaper the internet there is, and the more people are likely to use the internet. Google seems to agree with these claims; they believe their infrastructure investments in Asia (including subsea cables) have had a naive return of 215x[9]They find a return of $430B for an investment of $2B. in raw dollar terms.[10]This is without using a log scale for consumption.  Adjusting for how Open Phil generally thinks about income increases (we value a $1 income increase more highly the lower the initial income is), this would be closer to a return of 1380x.

While we likely would not want to support the entire subsea cable (as they cost about $400M even when built at scale for ~$30k per km), adding a branch to a new country is remarkably inexpensive ($10-30M). One could add, say, a connection to Senegal. Senegal is currently served by four subsea cables, but each is relatively small and the country has low total bandwidth available. A very rough BOTEC puts a landing in Senegal in the range of 700x ROI in our terms assuming a three year speedup (using the higher end $30M cost per connection and assuming no private co-financing or return on capital).

5.2.2 More/Cheaper Land-Based Fiber Optic Cables

Two experts said that this was the most promising way to increase access.

When building a terrestrial fiber network in Africa, capital costs are very high; >10% interest is common when putting together a buildout. Such high costs limit the amount of fiber built. When companies are able to raise the capital to build fiber, they often pass these high costs on to consumers, limiting the user base.

OP could conceptually underwrite capital investments for <10% interest. If the cost to reach each additional consumer is lower, telecoms would be able to reach more consumers, as well as charge lower rates (to the extent this brings in more customers and allows for higher profits). We could conceivably spend huge amounts of money on this; existing telecoms capex in sub-Saharan Africa is about $11B a year.

5.2.3 Regulatory Fixes

Right-of-Way Fees

It is cost-prohibitive in some countries to put down more land-based fiber. In some municipalities in Nigeria, there are policies that require companies to pay extremely high fees to put down cable. These towns are often just skipped during buildout.

If we are interested in subsidizing capital for land-based fiber, I think we would have to fund advocacy for reducing these fees as well; it’s not that helpful to lower interest rates if it is still extremely costly to build cable.[11]This effort could be compared to our work on land use reform, which often involves funding advocates for reduced housing regulation.

Competition

Almost all telecoms markets have only a few entrants, and some remain monopolies. As long as there is no competition in the market, there are few incentives for telecom companies to improve or increase their coverage.

One of the most obvious examples of this is EthioTelecom. EthioTelecom is the only telecommunications provider in Ethiopia, and while it claims to cover 88% of the country with at least 2G service (and 66% with 3G), it is unusably bad. South Africa’s average internet speed is about 10,000x faster than Ethiopia’s. Unsurprisingly, Ethiopia has low internet penetration and essentially no digital economy.

By comparison, when Cambodia introduced competition into the mobile market, the cost per gigabyte of data dropped from $4.56 in 2013 to $0.13 in 2019 (pg. 166 of the World Development Report) and mobile usage spiked to 6.9 gigabytes per capita per month.

However, introducing competition without improving infrastructure has its own challenges. When pricing pressure is substantial, the infrastructure can’t keep up. This has been most notable in India, but also has happened elsewhere in southeast Asia. Carriers are not making enough money to upgrade their infrastructure, and so service is somewhat worse.

Spectrum Costs

Spectrum licensing fees can be 20-30% of buildout costs. When you buy spectrum in most countries, you have exclusive use of that part of the spectrum.

This allows incumbent carriers to essentially block new entrants (by licensing the part of the spectrum they would use) — but does not require the incumbent to use it. A licensing regime that does not allow you to license spectrum unless you plan to use it could be helpful, and allow more entrants into the market.

This might be more effective than pushing for competition more generally.

Tariffs

Handset costs are a significant barrier for many people in low and middle income countries (LMICs). The phone supply chain is relatively efficient, so we are unlikely to be able to reduce the cost of the actual device, but we could reduce the effective cost to consumers by reducing tariffs.

Tariffs of 7-10% are common on imported electronics in LMICs. This is pretty substantial, and makes electronics more expensive to purchase in poor countries than in rich ones. We could advocate for tariffs on these devices to be reduced, so that more people could afford handsets.

One expert said that if he was given $5M, he would “endow a few universities with a chair of affordable telecommunications regulation.”

He argued that regulators everywhere hear mostly from lobbyists. In poor countries (particularly in sub-Saharan Africa, where he mostly works), they hear only from telecommunications companies, and “civil society doesn’t get much of a voice in that space”.

He believes this could be combated by drawing budding lawyers into the affordable access telecoms space. He also argued that this supports local expertise; infrastructure can be profoundly localized, and people with a deep knowledge of local conditions will be better-positioned to push for effective regulatory changes.

I’m a bit skeptical; I’m not entirely sure what lawyers could do (though perhaps they could push through the regulatory fixes described above). But it was certainly an interesting and unique suggestion.

5.2.5 Consumer Financing Structures

In some places, it is still relatively difficult to finance handsets over time. Instead, prospective users must pay for the entire cost of the phone upfront – which is not doable for many poor people. Like tariff reduction, allowing for financing over time might be a way to get more phones into hands.

Google is working with Safaricom on this, and I’m not sure what additional leverage or value we’d be able to provide. I don’t think this idea is as promising as providing capital for build outs.

Footnotes

Footnotes
1 In 2014, Steve Song gave a talk noting that 20% of Africans had access to 3G. By 2020, GSMA said that 75% of Africans have access to 3G.
2 It’s possible that this number is much larger — see my notes on the global coverage gap.
3 Indeed, I am sometimes a little sloppy in distinguishing between the two.
4 They say that 2% of Kenyan HHs exit extreme poverty based on MPESA overall. The coefficient on “leave extreme poverty” w.r.t. “agent density” is -0.007, so 0.02/0.007 ~ 2.9x multiplier on that coefficient. The coefficient on “log(per capita consumption)” is 0.012, so 0.012*2.9 ~ 0.034.
5 Depending on whether you expect a 5% income increase or a 10% income increase
6 Note that for the above I am considering mobile internet only. In the near future, satellites in low orbit will make it possible to access broadband in almost all parts of the world in the near future. However, satellite internet is quite pricey. Starlink terminals are currently $500 loss-leaders for the company, plus a monthly cost of $99. While this makes coverage possible throughout the world, it does not mean that this is actually useful to the majority of the world (let alone the ~7% of the world that does not have access to mobile broadband yet).
7 Rural coverage can be 40X the cost of urban coverage.
8 Cell phone towers should be 1-2 km apart.
9 They find a return of $430B for an investment of $2B.
10 This is without using a log scale for consumption.  Adjusting for how Open Phil generally thinks about income increases (we value a $1 income increase more highly the lower the initial income is), this would be closer to a return of 1380x.
11 This effort could be compared to our work on land use reform, which often involves funding advocates for reduced housing regulation.

Civil Conflict Reduction

1. Editorial note

This document is a “shallow” investigation, as described here. Over the last few years, we’ve moved towards trying to do more shallows quickly for internal audiences.  We wanted to experiment with sharing more again to see how much work it takes and whether it generates informative feedback or leads, so this is the first shallow we’ve published in a number of years.

This is a shallow on reducing civil conflict.  It took me about two weeks to write.  During this time, I read major papers in the field and spoke to about five experts, but did not fully critique their assumptions.  I have tried to flag my major sources of uncertainty in the document.

This document has been read and discussed by the cause prioritization team.  At this point, we do not plan to proceed to a medium investigation, but that could change if we substantially update our estimates of either the financial costs of civil war or the tractability of the problem.

We welcome comments either posted to the EA Forum, emailed to me at [email protected], or shared to this Google Form (can be submitted anonymously).

2. Major sources of uncertainty

My major sources of uncertainty after writing this are the following:

  • What is the best way to model the economic impact of civil war?  I tended to make fairly conservative (in the sense of total size of the problem) assumptions – e.g. economies that experience civil war recover fully within ten years – but I am not sure how reasonable those assumptions are. We’re currently hiring some academics to investigate these questions further.
  • Am I fully capturing the health impacts of civil war on civilians?  There is relatively little data about the social or economic consequences of being displaced within the Global South, and I am not sure my estimates of off-battle-field DALYs are particularly good.
  • Fundamentally, I am quite uncertain how much of a difference micro-scale interventions like cognitive behavioral therapy will make on macro-scale events like war.

3. Summary

3.1 What is the problem?

Living through a civil war is very bad for your health.  The direct cost of civil conflict is about 10M DALYs per year, but the indirect cost probably quadruples that figure.[1]The GBD estimate includes only direct DALYs, so war injuries/war deaths but not deaths caused from disrupted access to healthcare, etc.  (This is a fairly conservative estimate; one paper argues that there are 25x as many indirect deaths as there are direct deaths.)  Infant mortality and malnutrition rates are twice as high in states either experiencing or recovering from civil conflict as in stable ones.  Life expectancy is about a decade lower than would be expected in a peaceful state.

Per my BOTEC, civil wars cause a loss approx. ⅔ as many DALYs per year as malaria and NTDs (combined).  A civil war costs about $14,000 OP value per country resident per year, or 0.14 life years.  (Malaria, by contrast, has a DALY burden of 0.038 life years / resident of sub-Saharan Africa – so civil wars are not as significant a burden on life as malaria, but not insubstantial either, at least in countries where they are ongoing.)

But war’s impacts are not limited to health.  War impoverishes the populations that experience it, such that poverty is increasingly concentrated in and around states experiencing civil conflict.  By 2030, about ½ of the global extreme poor will live in such states.  This is not simply because poverty is declining elsewhere; an increasing percentage and an increasing number of the global poor live in countries either at war or at high risk of descending into war.  Most of these wars are not wars of global importance; no major power has any particular investment in settling them.  (Indeed, for the purposes of this shallow, I am choosing to focus on civil wars where great powers did not intervene – thus excluding Iraq, Afghanistan, Ukraine, Yemen, Israel/Palestine, as reducing conflict there is likely to involve different processes than reducing conflict in more local wars.)

War is bad for growth; unlike other emerging markets, states at war generally have zero or negative growth.  The residents of fragile states are particularly unable to bear a recession or depression, as civil wars essentially exclusively happen in low income countries.

3.2 Who is already working on it?

30% of overseas development aid goes to fragile states, totaling about $76 billion in 2018.  However, most of that is targeted toward poverty reduction and alleviation rather than reducing conflict.  The UN estimates that about $6.8B was spent on peacebuilding projects in 2013, with another $8B spent on peacekeeping operations.

The US government is and has been the largest single contributor to peacebuilding budgets.  Particularly during the Iraq and Afghanistan Wars, the US spent copiously on stabilizing these two countries to dubious effect.  In 2013, spending on peacebuilding in these two countries alone was over 100 billion.  For the purposes of this shallow, I ignore those conflicts and attempts at peacebuilding, and focus only on conflicts where a great power is not involved.

In 2020, the US spent $4.1B a year in peacebuilding in countries where it was not actively involved.  Nonetheless, even $4.1B makes the US the largest single contributor to peacebuilding efforts.  The majority of this is in the form of UN peacekeeping missions ($1.45B) and general international organization funding ($1.5B), with the Department of State funding an additional $650M a year in peacebuilding and democracy promotion programs.

Private spending is likely considerably smaller than government spending.  According to one source, 2020 grants were only $150M, $50M of which comes from USAID.  This is likely somewhat of an underestimate, as the 990 for a single NGO – Search for Common Ground – reveals yearly funding of about $25M, but I would not expect private spending to be more than $300M total.

3.3 What could a new philanthropist do?

Open Philanthropy might be interested in funding a) more research on particular interventions (see potential grants), b) lobbying for more effective interventions rather than less effective ones (e.g. CBT for ex-combatants instead of community-driven development programs).

Open Philanthropy could also fund lobbying for more engagement with international peace processes (for instance, lobbying for funding UN peacekeeping to the level requested by the UN, rather than the smaller amount currently provided by the US government).

4. Importance

Global poverty reduction will likely stall out without improvements in states with civil conflict (or that are recently post-conflict).

While extreme poverty in east Asia and south Asia will approach zero by 2030, poverty in fragile states (mainly but not exclusively in Africa) will increase over the same period.  The economies in fragile states barely grew during the period 1970-2008, and the living standards of the people living in those states are unlikely to improve unless governance improves.  Stabilizing existing fragile states and preventing other states from becoming fragile is thus of potentially very high importance – indeed, eradicating poverty likely requires it.

Estimates of how badly a civil war affects a host economy vary widely; Imai and Weinstein 2007 estimate that a civil war costs an economy 1.25% of growth a year, Collier 1999 estimates a 2.2% decrease due to war, the IGC roughly estimates 4-5%, UNDP puts the reduction in GDP at 12.3%/year for civil wars after 1990.  (Though an extreme example, GDP/capita in Syria is 11% of what it was before the war.)

I’ve chosen to use a 5% annual hit to GDP/capita in the BOTEC.  (I assume LICs would otherwise grow at 3%, so in the BOTEC, countries at war shrink at 2%.)  With this input, the financial cost substantially outweighs the cost in health; I find that a 5% hit to growth for four years and full recovery by year 10 will cost individuals about $1000 in income, for a total financial cost of about $21B in an average LIC.[2]Paul Collier finds the financial cost of the average civil war is $64B 2008 USD in The Bottom Billion, though he doesn’t specify in any detail how he reaches this figure. A rough estimate of the financial cost of all civil wars that occurred in 2017 was 290B.[3]This is greater than the cost of the number of civil wars that started in 2017 * the cost of a civil war, because more civil wars start than resolve, so the number of civil wars is increasing over time. Note that this is a relatively optimistic assumption – it implies that these countries grow at >7% for the six years following the end of the civil war.

Civil wars also cost lives.  IMHE estimates that 10.1 million DALYs are lost per year directly due to “conflict and terrorism”.  This is about 0.25% of all DALYs, but that estimate does not include any deaths or disability incurred through displacement[4]On average,  ~100 people are displaced per battle death. or disrupted access to healthcare.  I am highly uncertain how many DALYs this adds (see mortality cost), but it seems that the indirect deaths due to conflict substantially outnumber direct deaths on the battlefield.  (I take total DALYs to be 4x the number of direct DALYs, but I’d be willing to believe anything from 2-20x.)

Between deaths and lost income, preventing an average civil war would have OP value of around 1.2 trillion,[5]The true value obviously varies substantially by the size of the country and the severity of the civil war; even small countries can have particularly deadly civil wars (Liberia), while India is a large country that has had several small civil conflicts. of which 20% is from DALYs and 80% is from lost income.

Unfortunately, it seems relatively few civil wars are currently averted.  After a relative lull in interstate and intrastate violence in the 2000s, the number of civil wars and the number of people killed in civil wars has increased in the last decade.  There are also now more refugees than any previous point in history.  While data on poverty among refugee populations is scant, it is likely that they are experiencing considerably more poverty than either the native population of their host country or that they would have if not forcibly displaced.

4.1 Sources of Uncertainty

Most of the above figures are fairly conservative; I could be substantially underestimating both the mortality cost and the financial cost of civil war.

Mortality Cost

In terms of mortality cost, I’ve estimated that about 25% of deaths from civil war occur on the battlefield.  Papers range from suggesting that there are as many deaths off the battlefield as on the battlefield, to suggesting that only 4% of war deaths occur on the battlefield.  Sources attempting to determine the percentage of battlefield deaths by war vary by nearly as much.

I am not sure I have strong thoughts on which end of this range is more likely to be right; I would be willing to believe that the total number of DALYs caused by war is >> 4x the number of reported battlefield DALYs.

Further complicating estimates of the total number of DALYs from civil war, one expert mentioned that battlefield death counts are often a severe underestimate, by >3x.  I am willing to believe I’m probably order of magnitude correct on DALYs, but that’s about it.

Financial Cost

There is substantial heterogeneity in how badly civil wars affect the economy of the country experiencing one; in some cases, rebel groups stay in the hinterland and life in the major cities is able to keep ticking along much as usual, while in others, the economy completely collapses.  Given this, it’s difficult to figure out what the counterfactual is for the economy of countries experiencing civil war.

The best single paper is probably Costelli, Moretti and Pischedda 2017, which does attempt to estimate a counterfactual with a synthetic control rather than just doing a cross-country regression.  Costelli, Moretti and Pischedda 2017 finds a total effect of -17.5%, which is relatively similar to the BOTEC simulation I use (-5%/year for four years).

It is also unclear how much a civil war in one country affects its neighbors.  I do not model spillover effects at all; Paul Collier claims that modeling spillovers doubles the cost of civil wars.  I could fairly easily be convinced into a substantial increase here too.

5. Neglectedness

Per DALY, civil wars do not seem particularly neglected.

International spending on averting and settling civil wars seems to be in the range of 10-15B (not including governments also spend money trying to pacify restive areas).[6]Estimating government military and policing spending to reduce the chance of civil war seems difficult, so I’m not doing it.  OECD countries spend about $5B on peacebuilding, the UN spends about $6.5B on peacekeeping, and presumably non-OECD countries spend at least some amount (though likely not a lot)

This means that the world spends about $330-$495 per DALY from civil wars, about 1.5-2.5x what is spent per DALY on HIV/AIDS.

However, the financial cost of civil war substantially outweighs the DALY cost.  About $15B is spent preventing civil wars, but civil wars cost $290B in 2017.  If one adjusts for the greater consumption value for LIC residents – civil wars almost exclusively happen in very poor countries – OP’s valuation of for loss of income is $14T.  This gives a current OP-valued cost/current non-OP spending ratio of 966 versus 497 for HIV/AIDs — which means we could view conflict prevention as relatively underfunded.

6. Tractability

I am reasonably convinced this area is both important and neglected relative to its importance.  However, its tractability seems questionable.  In the below, I review some possible interventions to prevent civil conflict.

Intervention Does it work? Fund Research, Fund Directly or Advocate For?[7]Note: This section describes how OP might support an intervention if it chose to do so, rather than describing a recommendation for what OP should do. If an intervention doesn’t work, OP would not fund it or advocate for it.
Predicting Civil Wars Not really Fund Research or Fund Directly
UN Peacekeeping Yes Advocate
Disarmament, Demobilization, and Reintegration Programs No Fund Directly or Advocate For
Community Driven Development No Fund Directly or Advocate For
Cognitive Behavioral Therapy Promising Fund Research
Cash Transfers and/or Job Training Yes for economic gains, no for peace and stability Fund Directly or Advocate For
Alternative Dispute Resolution Promising Fund Research
Contact Interventions and Mass Media Promising Fund Research
Investigative Journalism I am skeptical, but maybe? Fund Directly
Mediation and Diplomacy Promising Fund Directly

6.1 Tractability and Speed

Several experts have mentioned that speed matters a lot in reducing the severity of conflict.  Once things have started to spiral, there is a very limited time in which one can bring down the temperature of the situation.

It is helpful if a particular intervention already has people on the ground, or can get them there very quickly.  Peacekeepers are often useful for this, as they are on site and neutral.[8]Once they are deployed; the process of getting peacekeepers deployed is notoriously long.

For example, an expert told us a story about a town in a country that had recently ended a civil war where a girl had been murdered and her body dumped outside a mosque.  Tensions escalated quickly, the local imam was beaten up, and there were threats of further attacks on the Muslim community to happen the next day.  The local peacekeeping mission had Muslim and Christian leaders make a broadcast on local radio together, and this kept the situation from escalating further.  Even a limited delay likely would have made such an intervention impossible; de-escalation would have been much more difficult after further violence.

This suggests that we should focus particularly on organizations that can react quickly.

6.2 Possible Interventions

6.2.1 Predicting Civil War

The first step to preventing civil war is to determine where a civil war is likely to be in the future.  Nearly every party interested in knowing about future conflicts has a project designed to provide information about where future conflicts will occur – the USthe EU, ECOWAS, the OSCE, etc.  The Integrated Crisis Early Warning System (ICEWS) claims to have a forecast accuracy of 80% (though I am skeptical that this means an 80% accuracy for predicting exactly when conflict escalation is likely to happen).

At the macro level, it is relatively easy to tell which countries are at risk of future conflict.  Countries that have had prior civil conflict are quite likely to have civil conflict in the future, and poor countries are also more likely to have insurgencies and civil conflict.  The riskiest countries therefore are both poor and have current conflicts: the DRC, Yemen, Nigeria, Sudan/South Sudan, Somalia.

However, it is difficult to predict exactly when a recurrence will occur, no matter how fine-grained the data.  Bazzi et al find that predicting conflict over space is fairly straightforward, but adding time-varying information provides little additional information.  Indeed, the within-location-but-time-varying model has an R2 of only 0.01.

I think this is likely to be a problem not easily solved with additional research or funding, but I don’t know how well superforecasters do on this problem.  My inclination is that if the Pentagon has an incentive to solve a problem, and has failed to do so, I suspect the sticking point is not resource constraints, but I may be wrong here.  If it is possible to predict which situations will escalate, that could be enormously valuable.

6.2.2 UN Peacekeeping

Despite the perceptions of peacekeepers as largely useless, the empirical evidence suggests peacekeepers really do keep the peace; indeed, of interventions to reduce the risk of return to conflict in a fragile state, peacekeeping is probably the most promising of the bunch.

The experts we have spoken to have universally agreed that peacekeeping works.  Peacekeepers may also help support the rule of law and a functioning justice system in the difficult reconstruction period.

Reducing The Likelihood Of A Return To War

Even when parties to a civil war come to the negotiating table, talks often break down, and even signed agreements are often ignored in favor of rearming and returning to war.  With a third party willing to enforce a signed agreement, warring parties are much more likely to make a bargain (5% vs. 50%) and the settlement is much more likely to hold (0.4% vs. 20%) (per Walter 2002).

Peacekeeping is the most common tool used to enforce such an agreement, or at least give all parties substantial warning if one party violates the agreement.  A cross-sectional logit by Page Fortna finds that peacekeepers reduced the likelihood of further war by 75% through the mid-2000s.

However, I am not sure that I believe that past peacekeeping successes necessarily imply future peacekeeping successes.  Per Krasner and Eikenberry, “[peacekeepers] work best when there are a limited number of national parties, when there are no hostile neighbors, when there are no national spoilers, and when there is [still] a functioning state”.  It is not clear to me that this describes that many modern civil wars.

Many modern civil wars happen in places where the state is very weak to non-existent – Somalia, CAR – and there are many national parties.  Furthermore, it is often difficult to get enough peacekeepers.  In a place like Liberia (population 5M), a force of 15,000 will suffice; should you wish to deploy a similar density of peacekeepers to the DRC (population 89M) or Ethiopia (population 115M), you would likely need more peacekeepers than currently exist in the world.  I took a 30% haircut on Fortna’s number.

Even with this haircut, peacekeeping has decent returns of up to ~152x; BOTEC here.  If we have some leverage here, such that the cost of one lobbyist returns >7x in funding for peacekeeping, this seems possibly worth keeping on the radar and/or considering as part of a larger advocacy portfolio.

Rule of Law Support

UN peacekeepers also often have a mandate to support rule of law reform.  While it is not their primary mission, UN missions have “assumed responsibility for drafting laws and lobbying for their passage, revis[ed] constitutions, train[ed] judges, prosecutors, and police officers, [built] courthouses, police stations and prisons, monitor[ed] extrajudicial punishments, arbitrary arrests and indefinite detentions, assist[ed] with criminal investigations and prosecutions, improv[ed] coordination both between and among state and non-state authorities and more generally elevating the role of the state as a purveyor of security and justice” (Blair 2021, 17).

By providing an interim rule of law during the transition from war to peace, peacekeepers show governments and citizens a demonstration of how rule of law should work.  In his 2021 book, Robert Blair finds that this is remarkably effective.  Spending time with a UN peacekeeping mission increased individuals’ trust in formal institutions by 30 percentage points.

This seems like a valuable contribution by peacekeeping.  It is unclear if this is contributing to the increased likelihood of peace holding, but it does seem useful.

What Could Funding Do?

As noted above, it is relatively unlikely that additional funding for peacekeeping would increase the number of missions.  If the Security Council has not yet agreed to a mission, there is likely a reason for that; that reason will not vanish with more funds.  However, simply increasing the funding for existing missions seems to be useful; Collier and Hoeffler find that doubling mission funding reduces conflict by 25%.

In particular, additional funding could be used for one of two purposes: increasing the number of peacekeepers or increasing the quality of peacekeepers.

The first seems to be effective in reducing conflict; the larger the mission, the more combatants are deterred from returning to conflict  (Hultman, Kathman and Shannon 2014Kreps 2010,  Kathman and Wood 2016).  The second is also useful as better-trained (more expensive) peacekeepers are more effective at keeping the peace.

Current peacekeepers are poorly trained and poorly paid,[9]The UN reimburses at $1400/month/peacekeeper.  This is cost-effective for Egypt (2812 peacekeepers), where the average soldier costs $672/month, but means that even South Africa is effectively subsidizing the UN when it contributes peacekeepers (average South African expenditure/soldier/month = … Continue reading often from armies not known for their efficacy.  Given existing variation in peacekeeper troop quality, it may be possible to use additional funding to rely more on the higher quality peacekeeping troops,[10]This might also serve to reduce the number of bad PR incidents involving peacekeeping troops.  Well-trained soldiers are hopefully less likely to be involved in sexual abuse of minors. and less on cheap troops from countries with histories of major human rights violations from their armed forces.

Alternatively, it might be possible to spend some additional funding on better training peacekeeping troops.  Training for peacekeeping is currently two weeks long due to the “limited time available for professionals” and the need “to pay staff while enrolled in long-term training programmes.”  This does not seem like enough time to train people to operate in a foreign country, under high stress conditions, especially if they are going to serve as an example of the rule of law.[11]By contrast, the US Peace Corps has 10-12 weeks of training, and explicitly does not operate in conflict zones.[12]Most peacekeepers come from countries that aren’t well known for their strong rule of law; the top contributors are Bangladesh, Nepal, India, Rwanda, Ethiopia, and Pakistan.

6.2.3 Disarmament, Demobilization, and Reintegration (DDR) Programs

There are relatively few evaluations of programs to reintegrate ex-combatants.  This is unfortunate, as they are nearly universal and would seem to be a key to maintaining peace – it is not uncommon for former combatants to join other conflicts or start their own, new conflicts.[13]This can be within the same country – for instance, Ahmad Shah Massoud clearly never stopped rebelling – or in another country – for instance, Paul Kagame, who would lead the RPF in the Rwandan Civil War, began his career as soldier in Musevini’s army in the Ugandan Bush War.  In order to encourage fighters to truly put their weapons down, DDR programs often have multiple goals – both combatant reintegration into the economy (increasing the opportunity cost of rejoining the war) but also convincing fighters to support the peace process (so that they would not want to rejoin anyway).

The very limited literature (a JPAL/IPA review includes only two papers) shows limited support for the former and no support for the latter.  The program Gilligan, Mvukiyehe, and Samii 2012 evaluates – in Burundi – increased employment, but the program evaluated in Humphreys and Weinstein 2007 – in Sierra Leone – did not.  Neither GMS 2012 nor Humphreys and Weinstein 2007 find any impact of the DDR programs they evaluate in breaking social linkages from rebel groups or increasing support for peace.  A friend running a survey on ex-FARC rebels was also quite skeptical of the efficacy of the DDR program in Colombia.

The empirical results here don’t accord terribly well with my priors; I’d expected that DDR programs would be well-defined and effective.

Nonetheless, it doesn’t seem like there’s much to fund here; DDR programs are often run by either the government (as in Colombia) or by a UN mission if there is one (El Salvador, Cambodia, Mozambique, Angola, Liberia, Sierra Leone, Guatemala, Tajikistan).  The lack of evaluations and reports suggests that there has been relatively little NGO input in the process.

6.2.4 Community-Driven Development

Community-driven development has been a very popular form of intervention since the 1990s.  In a typical CDD program, an NGO provides funding for development projects provided that the local community plans how that development money should be spent.  There is usually an area of development that the funding is earmarked for (e.g. health, education), but the community can choose what to implement within that broad category.

In theory, this encourages the local community to take ownership of the project, allows them to choose what they need, and the resulting project will provide services in contexts where the government is generally absent.  In a setting where the economy is growing and the government is providing a useful service, locals are less likely to choose to support rebel groups and conflict will be reduced.

In practice, this does not appear to be the case.  Across a large sample set (not necessarily in conflict areas), Rao and Mansuri 2013 finds no evidence that CDD projects improve social cohesion.  JPAL has evaluated a handful of CDD projects in post-conflict societies, and also found little evidence of change in governance.  There is even some evidence that CDD projects become rebel targets, and are likely to increase rather than decrease conflict (Crost, Felter, and Johnson 2014).

Due to their dubious efficacy, CDD programs are somewhat falling out of favor as development interventions, and given the evidence, I see no reason Open Philanthropy should try to change that.  When we advocate for more global aid, this should likely not be one of the kinds of aid we advocate for.

6.2.5 Cognitive Behavioral Therapy

Most pre-civil war countries are not at peace; rather, they have some background level of conflict that does not rise to the level of a civil war.  Perhaps a murder goes unsolved and a community is blamed (see tractability and speed); perhaps some tourists are kidnapped, perhaps two allied political parties fall out, perhaps police kill a few civilians.  Some percentage of these low-level conflicts – events where a few people are killed, but not dozens – are likely to escalate to further violence.  (In the above linked cases, they did, but not all tourist kidnappings or cases of extrajudicial killings lead to rebellions.)

The experts we spoke to suggested it is almost a stochastic process which conflicts escalate and which do not.  While it’s difficult to predict which particular violent event will spiral into wider conflict, probably one of them will eventually.  If there are fewer low-level violent events, the number of opportunities for things to spiral out of control is also reduced.

Ex-combatants are often a source of this low-level violence, as they previously used violence to resolve disputes.  Small studies show that giving ex-combatants cognitive behavioral therapy can make them less likely to use violence in future (Blattman, Jamison, and Sheridan 2019; Heller, Shah, Guryan, Ludwig, Mullainathan, and Pollack 2016).  In one study, even therapy with non-licensed professionals with minimal training (Dinarte and Egana-delSol 2019) was successful at reducing violent activity and improved participants’ level of emotional regulation.  CBT may have contributed to Liberian men choosing not to join the Ivorian civil war, but it’s equally likely job training increased their opportunity costs such that being a mercenary was less attractive.

CBT seems to be most effective when combined with other forms of intervention – that is, CBT and cash are more effective than either cash or CBT alone (though notably CBT plus cash also costs more) – and the effects fade with time, so it is possible ongoing interventions would be required.

It is worth noting CBT seems less effective for the “hard cases”; Dinarte and Egana-delSol 2019 finds that the positive results are driven by people who were committing less violence to start with.  This may limit the efficacy of CBT if the majority of violence is committed by a small number of individuals.[14]I don’t know if post-war violence is evenly distributed across the violence, or mostly comes from a small number of individuals.

It is also not clear how this would scale.  CBT tends to be quite resource (and people) intensive, and requires direct contact with every individual.  (The Blattman study involved 999 men; Dinarte and Egana-delSol 1000 children.)  While it is promising that such programs may not require trained professionals as facilitators, there is only one study that shows that.

I would thus put this firmly in the bucket of “promising, but needs more research to determine how implementation would work at scale”.  If OP was interested in this, we would want to invest in more research.  I would be particularly interested to see more research on training facilitators for therapy; there is a fairly limited supply of trained psychologists to conduct interventions; I really only think this has legs if it’s fairly easy to train people to teach CBT.

6.2.6 Cash Transfers and/or Job Training

Per Paul Collier, civil wars are not a problem of grievances, but of greed.  Combatants choose to participate in rebellion because E[participation] > E[not participating].  For combatants to choose to lay down their arms, and continue to not participate in the war, E[not participating] must be greater than E[participating].

This is challenging because ex-combatants often have limited non-martial skills and little ability to support themselves in a post-civil war economy.  Cash transfers and job training make the non-martial world more appealing and increase the opportunity cost to participating in the war.  In theory, this will also serve to win hearts and minds – that given better opportunities, youths will be less interested in the war and more interested in their economic prospects.  They will hopefully also be more supportive of the government that provided said economic prospects.  The theory here is not dissimilar to that of most DDR programs.

As DDR programs have also found, encouraging young people to work is considerably easier than changing their minds about politics.  Most – but not all – employment programs do seem to increase wages and employment outside of illicit activities.  Programs in LiberiaUganda, the Ivory Coast and the USA have all been relatively successful (though one in Afghanistan was not).

The record on conflict prevention and social cohesion is more mixed.  There is at least one success – a job training program in Liberia kept men from joining the nearby Ivorian civil war, though there was no impact on social cohesion within Liberia.  In Afghanistan, cash transfers increased support for the Taliban and job training increased support for the government; in Uganda, there was no impact on social cohesion or protest.  A review article shows “few sustained positive impacts of programs on stability, even in the face of economic gains”.

As a development intervention, job training appears to show some promise.  As a way to reintegrate fighters, job training seems to have little impact.

6.2.7 Alternative Dispute Resolution (ADR)

Cognitive behavioral therapy is probably the best studied way to reduce the number of low-level violent events, but it is not the only way.  Since the desired outcome is a behavior change rather than a mindset change, it is plausible that changing social norms would suffice to reduce using violence to resolve disputes.

In Liberia, Hartman, Blair and Blattman find reasonably large effects from a training program on resolving disputes peacefully.  Over three years, the number of violent disputes declined 9%, at a cost of about $14,000 per village.  How cost effective this is depends heavily on the assumptions you use; if a national program of ADR reduced the chance of a civil war as brutal as the Liberian Civil War by 4.5%, it would be near a 1000x return, but if it reduced the chance of a less severe civil war by 4.5%, the return would be nearer to 100x[15]The Liberian Civil War involved considerably more deaths than would have been expected for a country of Liberia’s size. (BOTEC here).

Mercy Corps finds a giant effect from an ADR program in Nigeria – a 43% (!) reduction in reported violence.  Even if the effect is considerably smaller than that (likely), it likely had an effect of >1000x.

However, all the caveats about cognitive behavioral therapy also apply here.  Alternative dispute resolution is hard to scale, relatively expensive (possibly cheaper than CBT at scale, but it’s not clear), and it’s unclear how many civil wars reducing low-level violence would really avert.  Still, given there’s at least one paper that suggests the return could be >1000x, this is where I would spend research money first.

6.2.8 Contact Interventions and Mass Media

Violence is often fueled by a fear or hatred of the “other”.  This is often but is not exclusively a racial or ethnic other; it can be a class/occupation other, such as in farmer/herder conflicts in the Sahel.

There is good evidence that the more one interacts with the othered group, the less likely one is to hold prejudiced views.  A number of programs therefore have tried to promote intergroup cooperation through promoting direct interaction (for instance, through mixed soccer teams or mixed vocational training) or by broadcasting mass media showcasing cooperation.

Direct Contact

In general, direct contact interventions reduce reported prejudice, though this is not a universal finding. This is probably one of the more reliable and replicated findings in the conflict literature – that increased contact with an outgroup leads to reduced negative feeling towards that group.

There is somewhat less good evidence that this affects one’s behavior toward the othered group.  It’s possible this is simply because the interventions are generally quite small in scale, and are swamped by the political context in which people are living.  However, it’s also not clear that a change in reported prejudice will always map to a change in discriminatory behavior.

Interestingly, there is a recent exception to the relative lack of impact on behavior.  Mercy Corps recently did an impact evaluation on a peacebuilding program in the Middle Belt in Nigeria[16]Not generally considered a civil war, but has often exceeded 1000 deaths per year. and found positive effects on economic behavior.  As the conflict worsened elsewhere, and herders were less inclined to come to the market to do business with farmers in control communities, interactions in the treated communities were stable.

This seems like the most promising intervention studied, because it shows a clear theory of change for blunting the economic impact of civil war.  Per my BOTEC, most of the cost of civil war comes from a loss of income rather than a loss of life, and the severity of the economic contraction varies widely across civil conflicts.

I do not know how to map a decrease in contact to a decline in GDP but a return of >1000x seems within the range of possibility.  This intervention ($60/person in Nigeria) prevented a 13%-19% decline in pastoralists selling products at the market.  If this could shift a village from a path of a 7% economic contraction to a 2% economic contraction during the war,[17]A 5% shift is essentially made up here, but it seems plausible enough – pastoralists selling at the market isn’t the only economic activity in a village, but it’s probably a significant part of the economy. this would avert losses of approx. $1000 USD ($50K OP value) in income/person, for a return of 833x.

Mass Media

Rather than relying on direct contact, some interventions use mass media to show cooperation between groups.  Multiple experts mentioned one NGO – Search for Common Ground – as being particularly good at this type of intervention (they reach 51M people currently).

The evidence for this is somewhat less strong than for direct contact.  In Nigeria, a broadcast from religious leaders led to higher acceptance of ex-combatants, and one intervention in Rwanda made ethnicity less salient.  However, a different mass media intervention in Rwanda did not change attitudes towards outgroups.  A talk show in the DRC designed to reduce prejudice actually increased it.

Mass media is substantially cheaper than a direct contact intervention, though, and avoids difficulty scaling.  I would be interested to see what results come from a Search for Common Ground mass media intervention in Nigeria (funded 2020, PIs Dube and Robinson).

6.2.9 Investigative Journalism

Two of the experts we spoke to expressed skepticism of the effectiveness of journalism for journalism’s sake.  However, both seemed to think that journalism can provide information for targeted sanctions.

Both government and rebel leaders often become very wealthy, and most of that money is not kept in-country.  International sanctions have the potential to put pressure on individuals to come to the table by freezing access to their money.

Country-wide sanctions do seem to end conflicts somewhat sooner (Letzkian and Regan 2016Escriba-Folch 2010), but these results are not strong.  Lezkian and Regan find sanctions alone are not terribly effective – military intervention is also required – and Escriba-Folch finds that total economic sanctions for the country are required, which can have major humanitarian implications.  The theory for country-wide sanctions thus seems not great – this requires journalism to get sufficient traction to change policy, and then the policy may or may not actually work.

There is some anecdotal evidence that individual sanctions can be more effective than country-wide, though I can find no systematic work on this.  One person we spoke with mentioned further conflict was averted in Kenya in 2007 by threatening the leaders’ children’s visa statuses in the west.

I am still very uncertain how this would actually work, though.  Funding journalism to reduce conflict requires quite a lot of things to happen after the production of a story.  Policy-makers must read the story, decide to act, apply (hopefully individual-level sanctions), and if all that happens, it is possible that rebels will be incentivized to make peace.

I also think too much international attention risks drawing a major power directly into the conflict.  This requires a sweet spot where the major powers care enough to apply sanctions but not get involved directly.  If the civil war is too important, a major power may decide to back one side and the conflict will become much more complicated.  For instance, the Syrian Civil War is probably the most documented conflict everthe country remains sanctioned, and yet the war continues, because of a major power intervention.

6.2.10 Mediation and Diplomacy

Multiple people mentioned that quality mediation can make a difference in getting a peace deal.  The difficulty is figuring out what “quality” mediation is; it’s not clear to me how we would evaluate the quality of high-level mediation.  The academic literature on mediation has varied conclusions – possibly it works, possibly it doesn’t.  However, mediation is definitely cheap; even a small probability of success would make mediation cost effective.

For instance, the Center for Humanitarian Dialogue is one of the larger such organizations.  Their annual budget is about $42M/yearly, and they are active in 23 conflict zones, for an average cost of $2M per country.  If a marginal Center for Humanitarian Dialogue mediation-year has a 0.52% chance of ending a war one year sooner, it would reach an OP return of 1000x.

6.3 Sources of Uncertainty

6.3.1 Individual-Level Measures

My most significant source of uncertainty is how much we can rely on individual measures to tell us about a country-wide event.

Much of the post-2010 literature on conflict has focused on micro-level interventions with strong causal identification.  In general, the treatment is applied to individuals or communities; outcomes are measured at the individual level.

Unfortunately, civil war is not an individual action, and it is not clear how changing individual actions map to 1) meso-scale rebel group organization, 2) macro-scale war.  Attitudes exist within a context of political institutions; do we believe that changing attitudes without changing institutions will change the likelihood of civil war?

I think the answer to that depends on one’s theory of civil war escalation.  Most of the experts we spoke to model civil war escalation as a stochastic process, where some events end up escalating but it is not clear ex-ante which ones will do so.  In this case, reducing the number of conflict events should reduce the number of events that spiral out of control (see alternative dispute resolution).

6.3.2 The Changing Nature of Civil War

This shallow discusses prevention of civil wars where there is not extensive international intervention.  For much of the 1990s and 2000s, this has been most civil wars (see below)

However, there has been a recent uptick in proxy wars or wars where at least one side is substantially backed by a great power.  The interventions described below are unlikely to be as successful in Syria or Ukraine, or even Yemen, as they are in Nigeria or Liberia.

I do not have a good sense of how likely future civil wars are to have major international intervention.  I am concerned that the universe of civil wars in which such interventions may work is shrinking.

On the other hand, civil wars don’t start as internationalized conflicts; if events are de-escalated before major powers are interested, perhaps the interventions themselves could prevent civil wars from becoming internationalized.

Footnotes

Footnotes
1 The GBD estimate includes only direct DALYs, so war injuries/war deaths but not deaths caused from disrupted access to healthcare, etc.
2 Paul Collier finds the financial cost of the average civil war is $64B 2008 USD in The Bottom Billion, though he doesn’t specify in any detail how he reaches this figure.
3 This is greater than the cost of the number of civil wars that started in 2017 * the cost of a civil war, because more civil wars start than resolve, so the number of civil wars is increasing over time.
4 On average,  ~100 people are displaced per battle death.
5 The true value obviously varies substantially by the size of the country and the severity of the civil war; even small countries can have particularly deadly civil wars (Liberia), while India is a large country that has had several small civil conflicts.
6 Estimating government military and policing spending to reduce the chance of civil war seems difficult, so I’m not doing it.
7 Note: This section describes how OP might support an intervention if it chose to do so, rather than describing a recommendation for what OP should do. If an intervention doesn’t work, OP would not fund it or advocate for it.
8 Once they are deployed; the process of getting peacekeepers deployed is notoriously long.
9 The UN reimburses at $1400/month/peacekeeper.  This is cost-effective for Egypt (2812 peacekeepers), where the average soldier costs $672/month, but means that even South Africa is effectively subsidizing the UN when it contributes peacekeepers (average South African expenditure/soldier/month = $2700).  France (618 peacekeepers), Germany (563 peacekeepers), and the UK (605 peacekeepers) are unlikely to want to contribute more personnel at that reimbursement rate.
10 This might also serve to reduce the number of bad PR incidents involving peacekeeping troops.  Well-trained soldiers are hopefully less likely to be involved in sexual abuse of minors.
11 By contrast, the US Peace Corps has 10-12 weeks of training, and explicitly does not operate in conflict zones.
12 Most peacekeepers come from countries that aren’t well known for their strong rule of law; the top contributors are Bangladesh, Nepal, India, Rwanda, Ethiopia, and Pakistan.
13 This can be within the same country – for instance, Ahmad Shah Massoud clearly never stopped rebelling – or in another country – for instance, Paul Kagame, who would lead the RPF in the Rwandan Civil War, began his career as soldier in Musevini’s army in the Ugandan Bush War.
14 I don’t know if post-war violence is evenly distributed across the violence, or mostly comes from a small number of individuals.
15 The Liberian Civil War involved considerably more deaths than would have been expected for a country of Liberia’s size.
16 Not generally considered a civil war, but has often exceeded 1000 deaths per year.
17 A 5% shift is essentially made up here, but it seems plausible enough – pastoralists selling at the market isn’t the only economic activity in a village, but it’s probably a significant part of the economy.

Research on Sexually Transmitted Diseases

In a nutshell

  • What is the problem? Hundreds of millions of people are infected with sexually transmitted diseases (STDs), and more than a hundred thousand die due to STDs other than HIV each year. The World Health Organization (WHO) and Global Burden of Disease (GBD) Study estimate that STDs other than HIV and HPV are responsible for approximately 9-13 million disability-adjusted life years (DALYs) per year. Based on their impact and the availability of treatments and preventative measures, we chose three diseases to investigate in more detail: herpes simplex virus (HSV), syphilis, and human papillomavirus (HPV). The GBD estimated the burden of HSV at approximately 300k DALYs per year, but this estimate does not include the burden of some additional conditions caused by HSV. We briefly looked at the burden of these conditions and concluded that the true burden may be somewhat or substantially larger. HSV cannot be cured and there is no vaccine, although antivirals can be used to treat it. Syphilis is responsible for most of the direct burden of STDs (7-11 million DALYs per year, according to the WHO and GBD), and there is no vaccine, but it can be cured with antibiotics. HPV is a necessary cause of cervical cancer, which is estimated to cause approximately 7-9 million DALYs per year, and can contribute to the development of other cancers as well (the burden of HPV is not included in WHO and GBD assessments of the burden of STDs, but cervical cancer burden is included separately in these sources). There are vaccines that appear to confer immunity against some strains of HPV, and precancerous lesions can often be removed once detected, but HPV cannot be cured.
  • Who else is working on it? It’s our impression that there is relatively little nonprofit involvement in and private funding for STD research and development. The NIH contributed approximately $250 million in funding to support STD research in 2015 (funding for HIV and HPV research and development categorized separately from the $250 million figure). Grantome searches suggest NIH and NSF funding of approximately $100 million, $150 million, and $20 million in funding for HSV, HPV, and syphilis research in 2013, respectively.

1. What is the problem?

Sexually transmitted diseases (STDs) are widespread. Hundreds of millions of people are infected with at least one STD,1 and the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) estimated that STDs other than HIV and HPV caused approximately 142,000 deaths in 2013, while HIV caused approximately 1,341,000 deaths in 2013.2

We may conduct a separate investigation into HIV/AIDS at a later date, but did not include it in this investigation.

We believe it is widely accepted that mother-to-child STD transmission can result in stillbirths, infant mortality, and chronic health conditions. Stigma, fear, and avoidance of sexual intimacy associated with STDs may lower quality of life. Common STDs, including genital herpes, HPV, and syphilis, are associated with an increased risk of HIV transmission, but it appears that high-quality evidence of a causal relationship is scarce. (See below for our take on this.)

Vaccines are available to prevent HPV (although note that currently-available HPV vaccines do not protect against all strains of HPV3) and hepatitis B.4 Other STDs, including syphilis, chlamydia, and trichomoniasis, are treatable and generally curable with antibiotics,5 although some STDs, especially gonorrhea, are developing resistance to antibiotics.6

We formulated an initial list of STDs from several other lists of STDs that we found.7 We declined to include infections such as Pelvic Inflammatory Disease (PID) that result from infection with other STDs. Of these, we initially decided to assess the impact of and funding for diseases that are predominantly sexually-transmitted other than HIV, and that are currently difficult or impossible to treat or cure because we thought it was more likely that additional scientific research would be beneficial for cases where reliable cures or treatments have not been found. We later decided to investigate predominantly sexually-transmitted diseases that had a reported impact of greater than five million disability-adjusted life years (DALYs) per year as well, regardless of whether treatments or cures for those are available.8 Based on these processes, we decided to examine herpes simplex virus (HSV), syphilis, and human papillomavirus (HPV) in more detail.

1.1 Size of the problem

1.1.1 Overall burden

To get a sense of the impact of different STDs on public health, we looked at the most recent estimates of the global annual burden of major STDs (excluding HIV and HPV) in DALYs from the Global Burden of Disease Study (GBD) and the World Health Organization’s (WHO) Global Health Observatory (GHO). The results are below:

DISEASE GLOBAL BURDEN OF DISEASE (2013) WORLD HEALTH ORGANIZATION (2012)
Syphilis 11,324,500 7,038,630
Chlamydial infections/Chlamydia 692,400 1,429,973
Gonococcal infections/Gonorrhea 313,900 545,145
Genital herpes 311,600 NA
Trichomoniasis 113,900 172,850
Other STDs 101,000 734,0759
Total burden of STDs (excluding HIV) in DALYs 12,857,200 9,920,672

However, it’s our impression that these numbers are very uncertain (indeed, they are not in close agreement with one another). The estimates did not include the impacts of neonatal forms of some STDs, and may have missed other impacts as well.10

Additionally, we note that there are major negative impacts of STDs that we do not quantitatively assess in this report, such as the psychological and sociological effects of the presence of STDs in a community (e.g. fear of transmission and stigmatization). In addition, there may be impacts we do not know of and that our brief investigation did not uncover.

1.1.2 STDs and HIV Transmission

There is evidence of a correlation between HIV and infection with other STDs, including HSV, HPV, and gonorrhea.11 Some researchers also believe there are plausible mechanisms by which the presence of other STDs could increase the likelihood of HIV transmission, namely by 1) increasing the incidence of lesioned regions of flesh around the genitals, and 2) recruiting cells carrying CD4 receptors (which HIV uses to gain entry into host T-cells) to the area.12 However, we believe the ability to definitively determine a causal relationship is complicated by confounding variables (for example, behavioral and health-status factors that contribute to the risk of contracting one STD may increase the risk of contracting another), and limitations on the types of experiments that can be performed without harming participants. We are not confident that attempts to fully control for confounding variables are able to do so.

We know of two small RCTs which concluded that HSV antivirals reduced HIV levels, either in the seminal fluids or in plasma and around the cervix.13 However, according to @Mayer and Venkatesh [email protected], in a meta-analysis of randomized controlled trials (RCTs) on interventions to distribute antivirals for HSV and antibiotics for bacterial STDs, six out of seven RCTs they examined did not find a statistically-significant reduction in HIV transmission, nor have studies in subsequent reviews (note that there is overlap between the studies included in the different reviews).14 Given that the majority of studies we encountered did not find an effect of STD treatment and prevention on HIV transmission, we chose not to include a quantitative estimate of the potential impact of STDs on HIV. However, we note that if STDs are in fact responsible for a substantial proportion of HIV transmission, that might make their overall impact substantially larger than our estimates below.15

Some studies have detected an association between HIV and HPV.16 Additionally, mechanisms by which HPV infection could increase HIV transmission have been proposed.17 However, it is our impression that as of 2015, no RCTs have been conducted on the impact of HPV vaccination on HIV transmission.18

We do not know if vaccines or improved treatments for STDs would reduce HIV transmission, or whether increased access to currently-available STD treatments would help prevent HIV.

1.1.3 Genital herpes

The herpes simplex virus (HSV) occurs in two forms, HSV-1 and HSV-2.19 Hundreds of millions of people are infected with one or both types of HSV, although many show no symptoms.20 Both types can be transmitted by sex.21 There is no commercially-available HSV vaccine and HSV infections cannot be cured, but antiviral agents can reduce outbreaks.22

Major sources of disease burden from HSV include:

Genital ulcers: The Global Burden of Disease reports that genital HSV resulted in 311,600 years lived with disability (YLD) in 2013 due to genital ulcer disease.23 We have not vetted this estimate, but did attempt to independently derive it by assigning what we felt was a plausible disability weight to genital ulcers and multiplying by its prevalence, and found that it was within the range of what we expected.

Neonatal deaths from HSV: We found it difficult to come to an understanding the impact of neonatal HSV. This is because:

  • We have major uncertainty about current global neonatal herpes incidence, although the data we found suggest that the overall incidence was likely more than 1/100,000 and less than 1/100 in the late 1990s and early 2000s.24
  • We are highly uncertain about the neonatal herpes mortality rate, and the sources we’ve found have not given us a strong sense of the likely true number because the estimates vary somewhat. We haven’t investigated their methodology, and we are unsure of how the mortality rate varies by country.25 We don’t know if the difference in estimates of the mortality rates stem primarily from differences in incidence at the different study sites and times, differences in proportion of cases treated, differences in the quality of the treatment, other factors, or some combination of these. We think it require substantial additional work to understand neonatal HSV mortality rates somewhat better, but that even if we put in more time, we might not gain clarity on this.
  • We did not look into the number of infants that sustain lifelong sources of disability from neonatal HSV.

Given the number of births/year,26 it seems likely to us that thousands or tens of thousands of infants are infected with HSV every year, and it seems possible to us that more than 10% of those infants die. If that were true, the impact of neonatal HSV might represent a substantial fraction or the majority of the total burden of HSV.27

Severe vision impairment from HSV: One source suggests that 40,000 people per year may become profoundly visually impaired in one or both eyes due to HSV keratitis (an inflammation of the cornea).28 We did not vet this estimate, and are not confident that these numbers reflect the true burden of severe vision impairment from HSV. We don’t know how many DALYs HSV keratitis is likely responsible for. It’s our impression that most cases of HSV keratitis occur late in life but may be more severe in children. 29

In many cases, HSV vision impairment may be the result of HSV-1 that was not directly sexually transmitted. Many researchers believe that HSV-1 can be and often is transmitted by non-sexual kissing (for example by family members) or by sharing items that touch the mouth such as eating utensils and toothbrushes.

Other impacts: We did not investigate several other impacts of HSV, including:

  • Sequelae in non-fatal cases of neonatal HSV
  • Cases of mildly-moderately impaired vision from HSV
  • Oral HSV ulcers
  • A proposed connection between HSV-1 infection and the development of Alzheimer’s Disease30
  • Encephalitis and meningitis from herpes31
  • Herpes whitlow and gladiatorum32

Overall burden: The GBD estimated that genital herpes resulted in approximately 300k DALYs in 2013. Based on our research into conditions caused by HSV but not included in the GBD estimate (namely, the unquantified but possibly-substantial impact of HSV keratitis and neonatal HSV, the possible and (if real) plausibly substantial impact of HSV on HIV/AIDs transmission and Alzheimer’s Disease, and the likely small impact of the other conditions above) we would guess that the true impact of HSV is substantially larger, although we don’t know how much larger.

1.1.4 Human papillomavirus

HPV is a common infection; the WHO estimates that approximately 12% of women with normal cytological findings (which we believe to mean no cellular signs indicating cervical cancer or precancerous changes in the cervix, indicating that this number is likely an underestimate of the proportion of women with HPV) and 21% of men worldwide are infected at a given time.33 There are many strains of HPV, most of which are asymptomatic but some of which increase cancer risk around the infected area (especially the cervix) or cause genital warts.34

There is no treatment we know of for HPV, but there are vaccines that confer protection against some strains of the virus.35 All the vaccines protect against strains 16 and 18,36 which, according to the National Cancer Institute, are together responsible for 70% of cervical cancers.37

There are also procedures that allow healthcare workers to identify and, if necessary, remove precancerous lesions on the cervix.38 According to the WHO, HPV infections of healthy individuals often spontaneously resolve themselves within two years39 and it usually takes approximately ten years for HPV infection to progress to an invasive cancer.40

Major sources of disease burden from HPV include:

Cervical cancer: In 2012 it was reported that there were 528,000 cases of cervical cancer and 266,000 deaths from cervical cancer,41 all the result of some strain of HPV.42 The DALY burden of cervical cancer was estimated at 6.9M in 2013 by the GBD,43 and 9.2M by the WHO in 2012.44

Cancers of the vulva, vagina, penis, anus, mouth, and oropharynx attributable to HPV:

There is evidence linking HPV to cancers of the vulva, vagina, penis, anus, mouth, and oropharynx.45

One source indicated that in 2006, 87.8% of cancers from HPV were cervical cancers.46 so we believe that the estimate of the burden of cervical cancer captures the majority of the known direct harm from HPV.

Other impacts: There are other impacts of HPV which are not included in our calculation of the burden of HPV. These include:

  • Respiratory papillomatosis47
  • A possible association between lung cancer and HPV. It’s our impression that a causal link has not been established, and we are uncertain about the quality of the evidence for the connection.48
  • Genital warts
  • Common skin warts and rare skin conditions in immunocompromised individuals.49 However, it is our understanding that these result from strains of HPV that are not predominantly sexually transmitted.

Some research suggests that HPV vaccination may increase the risk of becoming infected with the strains that the vaccine does not protect against.50 We have not fully investigated this claim, and do not know how much it detracts from the public health benefit of HPV vaccines, if at all.

Overall burden: In summary-

  • The GBD estimates the burden of cervical cancer at 6.9M DALYs
  • The WHO estimates the burden of cervical cancer at 9.2M DALYs
  • HPV can cause other cancers as well, but these cancers probably contribute a small proportion of the total burden.
  • There is evidence of an associated between HPV infection and HIV transmission, but we are unsure about the strength and cause of this association.
  • We have not included other health consequences of HPV, which we believe to be small in comparison.

1.1.5 Syphilis

Syphilis is a bacterial infection caused by the bacterium Treponema pallidum.51 When left untreated, it can lead to sores, rashes, eye problems, neurological and heart problems, and death.52 It can be treated and the infection cured with antibiotics.53

Overall burden: In 2013 the GBD estimated that there were 136,848 deaths due to syphilis, of which 120,537 were in children five years of age or under,54 while the WHO GHO estimated that there were 78,910 deaths from syphilis in 2012, of which 67,489 were in children five years of age or under.55 The DALY burden from syphilis (including neonatal syphilis) was estimated by the GBD at 11.3M DALYs and the WHO GHO at 7.0M DALYs.56 Potential effects of syphilis on HIV transmission were not included in these assessments,57 but we do not know of other direct impacts of syphilis that may have been excluded (despite a brief search).

2. Who else is working on this?

We do not have a comprehensive understanding of which organizations fund research on STDs, as opposed to raising awareness, offering services, or advocating on behalf of individuals that suffer from STDs.58 However, it’s our understanding that philanthropic and nonprofit involvement in STD research is minimal. We are not aware of non-profit organizations specifically supporting HSV or syphilis research.

2.1 How much funding is in this area?

Total

The total NIH funding for sexually transmitted diseases/herpes (not including funding for HIV/AIDS, any hepatitis virus, or HPV/cervical cancer vaccines) was approximately $250M in 2015.59 It was our impression of NIH STD funding that there is substantial funding for HPV vaccine trials, testing the effects of the HPV vaccine, and cervical cancer diagnostics. Even though HIV/AIDS had its own section, there seemed to be some funding allocated for HIV/AIDS research listed in the “sexually transmitted diseases/herpes” section, some funding for social science programs on sexual health and safety, and research on HSV and HSV vaccine candidates. We saw several funded projects on potential chlamydia and gonorrhea vaccine candidates.60 In addition, we identified approximately $1.4M in funding for STDs from private foundations in 2012.61

We searched Grantome.com, a database of scientific research grants, for information about grants that included the words “sexually transmitted,” and found that in 2013 there was $188M in funding reported that met these search criteria.62

We looked into the assets and funding from other sources, including smaller sources and those predominantly dedicated to STD advocacy, awareness-building, and service provision rather than research and development, but these numbers did not significantly affect our view of the crowdedness of this space.63

The funding for research and development for each of our STDs of interest is below.

HSV

  • Grantome, 2013, approximate: $104.3M64
  • NIH Project Reporter, 2015, approximate: $5.8-137.9M65

HPV

  • Grantome, 2013, approximate: $147.6M66
  • NIH, Estimates for Funding of Varion Research, Condition, and Disease Categories, 2015: $31M67
  • NIH Project Reporter, 2015, approximate: $35.2-204.3M68

Syphilis

  • Grantome, 2013, approximate: $17.3M69
  • NIH Project Reporter, 2015, approximate: : $2.2-22.9M70

3. Our process

We initially decided to investigate this area because we thought STD research might be impactful and neglected due to associated stigma. We focused on quickly determining this, without investigating potential interventions in this space. The specific steps we took to investigate importance and neglectedness are as follows.

For investigating importance, we:

  • Looked at global DALY burden from each STD in the GBD 2013 and WHO GHO 2012 data.
  • Attempted to independently derive DALY estimates, where possible, from lives lost.
  • Briefly researched the diseases we focused on, their sequelae, and treatments. We did this by reading fact sheets and Wikipedia articles about the diseases in question, scanning for highly-cited recent articles in Google Scholar about them, and investigating further points that seemed important.
  • Looked for relevant Cochrane Library articles on HPV, HSV, syphilis, and STDs in general.

For investigating neglectedness, we:

4. Questions for further investigation

Our investigation so far has focused almost exclusively on the burden of these diseases and how much attention they receive from funders of scientific research. If we were to do further research here, our primary focus would be on the tractability of potential research directions. Some questions we might aim to address include:

  • What are the greatest barriers to STD diagnosis? Would improved diagnostics for STD infections lead to higher rates of treatment and cure?
  • What are the greatest barriers to the development of new vaccines for STDs, including syphilis?
  • Would it be practical to deliver a syphilis vaccine to the required population?
  • How do HPV vaccines affect the prevalence and transmission of HPV strains against which they do not confer immunity? How is this likely to impact the future burden of HPV?
  • To what extent do STDs increase HIV transmission? To what extent do STD treatments and vaccines reduce HIV transmission, if at all?
  • What other research and development projects could potentially decrease the burden of STDs?

5. Sources

DOCUMENT SOURCE
990 Finder American Sexually Transmitted Diseases Association Form 990 2014 Source
990 Finder National Coalition of STD Directors Form 990 2013 Source
990 Finder The Foundation for Research into Sexually Transmitted Diseases Form 990 2013 Source
990 Finder: HPV and Anal Cancer Foundation Form 990 2013 Source
Baeten et al. 2008 Source
CDC Office of Financial Resources 2015 Annual Report Source
CDC: HPV Vaccine Information for Clinicians Source
CIA World Factbook Source
Clinuvel: Herpes Simplex Virus Source
Cochrane Library Source
Corey and Wald 2009 Source
Farazmand Woolley and Kinghorn 2011 Source
Farooq and Shukla 2012 Source
FDA News Release: Gardasil 9 Source
Foundation giving based on Foundation Center data Source
GBD 2013 DALYs from all causes Source
GBD 2013 deaths from syphilis Source
GBD 2013 International Classification of Diseases codes mapped to the Global Burden of Disease cause list Source
Genital Herpes – CDC Fact Sheet (Detailed) Source
GiveWell: DALY Source
Global Burden of Disease 2013: Mortality and Causes of Death Source
Global Burden of Disease Study 2013 (GBD 2013) Data Downloads – Full Results Source
Globocan Cervical Cancer Fact Sheet Source
Grantome.com Source
Grantome.com “herpes simplex” Source
Grantome.com “hpv” Source
Grantome.com “sexually transmitted” Source
Grantome.com “syphilis” Source
Guo et al. 2015 Source
Head et al. 2015 Source
Houlihan et al. 2012 Source
Human papillomavirus vaccines: WHO position paper, October 2014 Source
ICD 10 Data: Anogenital herpes Source
Johnston, Gottlieb, and Wald 2016 Source
Looker et al. 2015 Source
Looker Garnett and Schmid 2008 Source
Mayer and Venkatesh 2011 Source
Morris et al. 2008 Source
Mutua, M’Imunya, and Wiysonge 2012 Source
National Cancer Institute: HPV Vaccine Fact Sheet Source
Ng et al. 2011 Source
NIH 2015 STD/Herpes project listing Source
NIH Estimates of Funding for Various Research, Condition, and Disease Categories (RCDC) Source
NIH Project Reporter Source
NIH Reporter- Herpes simplex funding, project titles only Source
NIH Reporter- Herpes simplex funding, project titles, terms, and abstracts Source
NIH Reporter- HPV funding, project titles only Source
NIH Reporter- HPV funding, project titles, terms, and abstracts Source
NIH Reporter- Syphilis funding, project titles only Source
NIH Reporter- Syphilis funding, project titles, terms, and abstracts Source
Parkin 2006 Source
Patel et al. 2013 Source
Prabhu Jayalekshmi and Pillai 2012 Source
Rositch et al. 2014 Source
Shrestha and Englund 2010 Source
STD.gov List of All STDs and Their Symptoms Source
Syphilis – CDC Fact Sheet (Detailed) Source
The HPV and Anal Cancer Foundation: Role and Impact Source
The STD Project’s List of All STDs Source
Wald and Corey 2007 Source
Wald and Link 2002 Source
Wang and Ritterband: Herpes Simplex Keratitis Epidemiology Source
Ward and Rönn 2010 Source
WHO GHO DALYs by Cause Source
WHO GHO Data Source
WHO GHO Deaths by Cause Source
WHO: Global Burden of Disease Source
WHO STIs Fact Sheet Source
Wikipedia: Causes of sexually transmitted infections Source
Wikipedia: Herpes simplex Source
Wikipedia: Herpes simplex virus Source
Wikipedia: Human papillomavirus Source
Zuckerman et al. 2009 Source

Cannabis Policy

This is a writeup of a shallow investigation, a brief look at an area that we use to decide how to prioritize further research.


In a nutshell

What is the problem?

Our impression is that despite the spread of efforts to legalize recreational cannabis use, there is currently relatively little discussion of which legislation models are best for public health. We believe ineffective regulation may carry substantial public health costs.

What are possible interventions?

A philanthropist could fund research into different legalization models and their effects, or could support increased discussion between advocates of cannabis legalization and public health experts with experience in policy related to intoxicants.

Who else is working on it?

A number of foundations do some work on cannabis policy, often within the broader area of drug policy. We are not aware of any major funders who are focusing on designing cannabis policy with a view to protecting public health.


1. What is the problem?

Since 2012, four U.S. states have legalized recreational use and commercial production of cannabis.1 Broadly speaking, we consider it likely that the number of states where recreational cannabis consumption is legal will continue to increase. This view is based on conversations with drug policy experts,2 increased support for legalization in national polls,3 and our general impressions of the current political climate in the U.S.

As discussed below, we believe that different ways of legalizing cannabis use are likely to have widely varying public health implications. In this investigation, we focused on these potential public health effects; we did not thoroughly consider other potential effects of legalization, including (for example) effects on arrests or incarceration. We chose to focus on this aspect because we see the question of how to legalize in a public-health-friendly way as receiving significantly less attention than the question of whether or not to legalize. We see the former question as potentially very important if legalization efforts continue to succeed (which we find likely).

1.1 Public health effects of commercial cannabis production

Our understanding is that the public health impacts of cannabis legalization are likely to depend on the specifics of how legalization is carried out. However, our impression is that relatively little is known about how different kinds of regulatory regimes are likely to affect public health.

We believe that it could be especially important for early-moving states to implement well-designed policy, as we consider it likely that later legalization models will be based on earlier ones (i.e. we expect the form that legalization takes overall to be relatively path dependent). Another consideration in favor of careful policy design early on is that it may be difficult to change existing policies once states have legalized cannabis, especially if, for example, a commercial marijuana industry were to emerge and become established.4

An example of how policy design might affect public health is the extent to which cannabis is allowed to be produced commercially. Legalization models that enable cannabis production to be fully commercialized may cause cannabis prices to drop considerably; we have heard estimates that prices under commercialization might be one tenth or less of current prices.5 Such a price change seems likely to lead to increased consumption of cannabis.

In general terms, we expect increased consumption of intoxicants (like cannabis) to have humanitarian costs both for individuals and for society. In addition, our impression is that cannabis specifically can cause harm in a number of known ways. In this investigation, we focused on cannabis dependence as the main relevant harm. Cannabis dependence is associated with a variety of negative effects, including low energy and motivation; relationship and family problems; financial difficulties; and sleep and memory problems.6

1.2 Size of the problem

As part of our investigation, we estimated how much harm could potentially be averted by well-designed legislation. See footnote for more details of the calculation.7 In summary:

  • We assumed that the main harms of sub-optimal legalization would be due to increased cannabis dependence, then used our best guesses of how harmful dependence is, and how much it might increase under full commercialization, to estimate what the difference between well- and badly-designed legislation might be.
  • About 18 million people in the U.S. use cannabis at least once per month.
  • About 7% of these, or 1.25 million people, meet criteria for what we would consider morally-relevant cannabis dependence (although other sources report 12% have “met criteria for cannabis dependence in the past year”).
  • We use an estimated disability weight for cannabis dependence of 0.05 (note that this is lower than the Global Burden of Disease study’s disability weight for cannabis dependence, which is 0.329).
  • The estimates we’ve seen suggest that if legalization were accompanied by full commercialization (and therefore much lower prices), cannabis consumption would roughly double.
  • We assumed that a doubling in consumption would correspond to a doubling in dependent users.

Combining these figures with a cost of $50,000 per disability adjusted life year (DALY), the cost of full commercialization comes out at roughly $3 billion, although we have very limited confidence in this estimate. This is relatively low compared to our rough estimates of the importance of other cause areas within U.S. policy.


2. What are possible interventions?

We have focused our attention on ways to help cannabis legalization go as well as possible in jurisdictions where it does take place (rather than focusing on affecting the likelihood of legalization itself, which we see as drawing more attention from funders).

Different legalization models could vary along many dimensions, including the following:8

  • What type of organizations are allowed to provide cannabis?
  • What regulations apply to these organizations?
  • What types of products can be sold?
  • How much will the products cost?

A funder in this space might consider supporting:

  • Research into different legalization models and their effects, e.g. analyzing previous instances of legalization, forecasting the effects of new proposals, or developing new legislative approaches.
  • Increased communication between cannabis legalization advocates and public health experts, e.g. holding meetings to discuss different approaches to legalization.

Work of this kind could affect cannabis policy in the short term (e.g. by affecting the language of a specific ballot initiative) or the longer term (e.g. by promoting effective models of regulation which can be adopted more widely in the future, or more generally shifting the discourse around cannabis policy).


3. Who else is working on this?

We do not have a comprehensive picture of which organizations actively support the careful design of cannabis-related policy, as opposed to supporting drug policy reform or cannabis legalization efforts in general. Our impression is that not many groups focus on this aspect of cannabis reform.

The Open Society Foundations (OSF) funds some work on cannabis policy as part of its broader program of domestic drug policy reform but our understanding is that this is not a focus area for OSF.9 A number of other funders, including the Drug Policy Alliance, the Riverstyx Foundation, and the Libra Foundation, fund advocacy around improving drug policy more broadly, but do not focus on cannabis policy specifically as far as we know.10


4. Questions for further investigation

If we were to do further research here, questions we might aim to address include:

  • How responsive will legalization advocates be to proposed measures to protect public health?
  • What policy designs can best capture the benefits of cannabis legalization while preventing large declines in prices and attendant increases in dependence?
  • How does legalizing cannabis affect alcohol consumption patterns and their associated social costs?

5. Our process

We have been interested in this area for several years. We have had many conversations with experts on the topics of criminal justice reform and drug policy reform, some of which have also included discussion of cannabis legalization. Public notes are available from several of these conversations:

This area is also a personal interest of Cari Tuna and Dustin Moskovitz, co-founders of the foundation Good Ventures, who have made several personal gifts to support cannabis legalization efforts. Cari and Dustin are members of the Open Philanthropy Project Board of Managers.

The Open Philanthropy Project has made grants to support the following:

We are not currently planning further grants in this area in the near future, but may revisit the issue once we have a clearer sense of whether these grants have been successful.


6. Sources

DOCUMENT SOURCE
Budney et al. 2007 Source
Burns et al. 2013 Source
Caulkins 2013 Source
Caulkins 2014a Source
Caulkins 2014b Source
Caulkins et al. 2012 Source
Caulkins et al. 2015 Source
GiveWell’s non-verbatim summary of a conversation with Open Society Foundations, November 19, 2012 Source
Global Burden of Disease Study 2010 Source
Mackin, Martin and McGavin 2007 Source
NIDA – Cocaine, Scope of Use Source
NIDA – DrugFacts, Treatment Statistics Source
NIDA – Marijuana, Is Marijuana Addictive Source
Office of National Drug Control Policy, State Laws Related to Marijuana Source
Our non-verbatim summary of a conversation with Andy Ko, November 20, 2013 Source
Our non-verbatim summary of a conversation with Open Society Foundations, November 19, 2012 Source
Our non-verbatim summary of conversations with Gara LaMarche on May 22, May 31, and June 14, 2013 Source
Our non-verbatim summary of conversations with Mark Schmitt on May 22 and June 14, 2013 Source
Pew Research Center 2015 Source
SAMHSA 2014 Source

Federal Tax Reform

Note: this is a shallow overview of a topic that we have not previously examined. For shallow overviews, we typically work for a fixed amount of time, rather than continuing until we answer all possible questions to the best of our abilities. Accordingly, this is not researched and vetted to the same level as our standard recommendations. If you have additional information on this cause that you feel we should consider, please feel free to get in touch. We use our shallow overviews to help determine how to prioritize further research.


In a nutshell

What is the problem?

The federal tax system in the U.S. is inefficient, overly complicated, unlikely to be able to cover rising federal expenditures in the long run, and may constrain economic growth.

What are possible interventions?

Fundamental income tax reforms, including shifting the tax base to consumption or broadening the income tax base by eliminating many tax expenditures, may increase rates of economic growth and help address long-run fiscal issues. Smaller adjustments to federal tax policy may also have substantial benefits. These reforms face several political obstacles, and we do not have a strong sense of how additional funding would be able to create policy change.

Who else is working on it?

Federal tax reform efforts attract significant attention from many think tanks and foundations, including the Tax Policy Center and the Peter G. Peterson Foundation, amongst others.


1. What is the problem?

Federal taxes in the U.S. are widely believed to be inefficient and overly complicated.1 Even taxpayers with simple tax situations spend considerable time and money filing income tax returns.2 Other individuals and businesses navigate a complex system of around 200 potentially applicable tax expenditures (e.g. deductions, exemptions, and credits).3 The system of tax expenditures makes federal taxes less progressive, narrows the overall base of taxable income, and reduces federal revenue, which may not be sustainable in the long run.4 Many specific tax expenditures reduce federal revenue without achieving any policy goals.5 More fundamentally, many scholars have argued that taxing income (rather than consumption) discourages savings and investment, which may negatively impact economic growth.6


2. What policy changes could be helpful?

We consider shifting the tax base from income to consumption or broadening the base of taxable income by eliminating many tax expenditures to be fundamental reforms of the federal tax system.7 We have seen arguments for the benefits of fundamental federal tax reforms:

  • Consumption taxes, including value-added taxes (VATs), the “X tax,” and the personal expenditure tax (PET), are simpler and create greater incentives for savings and investment than income taxes, though there seems to be disagreement about the magnitude of the gains from switching from an income to a consumption tax base.8
    • VATs require businesses to pay taxes on the difference between their sales and their purchases of inputs (i.e. the business is taxed on the value it adds to products or services). Each business that adds value to a product or service is taxed, which leads to increased retail prices for consumers.9 VATs are well-studied since they have been implemented in 160 countries, and have been discussed as a supplement to or partial replacement of U.S. income taxes.10 Since low-income households spend a greater proportion of their income than wealthy households, VATs are regressive unless they are offset by another program.11
    • The X tax is a VAT modified to be more progressive. Businesses pay taxes on value added, but are able to exempt wages from their tax liability. Workers are also taxed at a progressive rate on their wages.12 The X tax is usually discussed as a replacement, rather than just a supplement, for the federal income tax system.13
    • The PET is another alternative intended to replace the income tax system. Households are progressively taxed on their total annual expenses, but businesses are not directly taxed.14
  • Base-broadening, rate-reducing tax reform would eliminate many tax expenditures while still using income as the tax base. Eliminating tax expenditures increases the overall proportion of income taxed, allowing for (some combination of) lower tax rates and higher federal revenues.15 Lower income tax rates may also incentivize savings and investment.16

Fundamental tax reform that caused greater rates of savings and investment could in turn lead to greater rates of economic growth.17 A dynamic simulation model by Altig et al. 2001 finds that replacing the federal income tax with a progressive consumption tax could increase rates of economic growth and add hundreds of billions of additional dollars each year to the national income while maintaining current progressivity.18 Other fundamental reforms modeled by Altig et al. 2001 would also increase growth rates, but would be quite regressive.19 However, we interpret these growth rate estimates with caution since the models that yield these results rely on relatively strong assumptions about the effects of tax incentives on saving and investment behavior, which may not turn out to be realistic.20 More generally, economists seem to disagree considerably about the magnitude of economic gains that tax reforms might yield.21

We have also seen arguments for the benefits of non-fundamental federal tax reforms:

  • Simplifying tax filing: For most taxpayers, the IRS already has all the information it needs for tax filing.22 A “Simple Return” program, for which the IRS pre-files taxes for individuals with uncomplicated tax situations, could save individuals significant amounts of time and money. Goolsbee 2006 estimates that IRS pre-filing could collectively save up to 225 million hours of time and $2 billion a year paid in tax preparation fees.23
  • Eliminating specific tax expenditures: Instead of focusing on the tax expenditure system as a whole (which also includes many social programs), reform efforts could target particularly inefficient or ineffective tax expenditures.24 The mortgage interest tax deduction, for example, may not actually promote home ownership as intended.25
  • Limits on the use of tax expenditures: Reforms might also raise federal revenues by regulating the use of tax expenditures in upper tax brackets, or by placing a cap on the total permissible value of tax expenditures as relative to income.26

Carbon taxes and land value taxes are also mentioned in discussions of optimal tax policy, but we have not investigated them thoroughly for this overview.27


3. Prospects for reform

Federal tax reform faces several political obstacles:

  • Our impression is that politicians are reluctant to support fundamental tax reform. Although some tax reforms could create widely-distributed long-term benefits, groups that would suffer losses would likely oppose the reforms,28 and the potential for widely-distributed benefits may be illusory.29
  • Any fundamental reforms are likely to alienate powerful stakeholders on either the left or the right. The addition of VATs to the income tax system is often opposed both by those who want to limit government spending and those who are worried about the tax’s regressiveness.30 Similarly, an X tax may have difficulty gaining political support both because it would appear that wealthy citizens who primarily make their income from investments rather than wages would only be lightly taxed and because it would actually impose large one-time losses on those existing wealth-holders.31 A PET may also have difficulty gaining public support because no taxes are levied on businesses, and because individuals would be taxed on borrowed money.32
  • Anti-tax groups have expressed opposition to reforms simplifying tax filing.33

On the other hand, projected increases in federal spending are expected to eventually require some type of revenue-increasing tax reform.34 In the near future, reforms that place a cap or limit on the use of tax expenditures seem more politically feasible than eliminating tax expenditures.35

All things considered, we’re pessimistic about the prospects of any fundamental federal tax reforms in the near future.36 Some of the smaller reforms discussed above may be considerably more tractable.37


4. Who already works on this?

Federal tax reform efforts attract significant attention from a wide variety of players, and we have not attempted to develop a full sense of the landscape.

Much of our assessment above has been informed by work from the Tax Policy Center, a joint venture of the Urban Institute and the Brookings Institution, which is a leading voice in tax policy discussions.38 Several major foundations, including the Bill and Melinda Gates Foundation, the John D. and Catherine T. MacArthur Foundation, the Ford Foundation, and the Rockefeller Foundation, support the Tax Policy Center.39

Our understanding is that many foundations tend to support tax reforms relevant to social programs, but not fundamental tax reform.40 A potential exception would be the Peter G. Peterson Foundation, which disbursed around $8.6 million in grants in the fiscal year 2013-2014, and is devoted to addressing long-term challenges to the federal budget.41 Amongst other things, it has promoted reducing the number of tax expenditures and simplifying the federal tax system as a response to projected long-term budget deficits.42

Many other advocacy and interest groups participate in tax policy discussions.


5. What could a new funder support?

Funders interested in this area could support a variety of research and advocacy activities aimed at promoting reforms.43

We briefly explored the possibility that technical capacity to translate high-level reforms into detailed technical proposals or legislative text was a gap in the field, but the experts we talked to did not think this was the case.44 We have not otherwise investigated the expected impact of additional funding for different avenues of support.


6. Questions for further investigation

Our research in this area has been relatively limited, and many important questions remain unanswered by our investigation.

Further research on this cause might address:

  • How likely would further funding for fundamental tax reform research and advocacy be to accelerate reforms?
  • How likely is it for advocacy efforts in favor of simplifying tax filing or other non-fundamental reforms to overcome political opposition? Are there fairly tractable short-term opportunities to advance such reforms?
  • To what degree do the efficiency-improving justifications for fundamental tax reform apply to more modest reform efforts (e.g. reforming the mortgage interest deduction)?
  • What are the distributional consequences of various tax reform proposals?

7. Our process

We decided to investigate this area due to our strong impression that the complexity of the U.S. tax code creates significant compliance costs, and due to our weak impression that alternative tax systems could positively impact economic growth.

Our investigation consisted of conversations with tax policy experts and some limited desk research. Public notes are available from our conversations with:

  • Alan D. Viard,45 Resident Scholar, American Enterprise Institute
  • Bill Gale,46 Senior Fellow, Economic Studies Program, Brookings Institution; Co-Director, Urban-Brookings Tax Policy Center
  • Daniel Shaviro,47 Wayne Perry Professor of Taxation, New York University School of Law
  • David Kamin,48 Assistant Professor of Law, New York University
  • Richard England,49 Visiting Fellow, Lincoln Institute of Land Policy; Professor of Economics and Natural Resources, University of New Hampshire

8. Sources

DOCUMENT SOURCE
Altig et al. 2001 Source
Barro 2015 Source
Brown and Gale 2012 Source
Burman 2011 Source
Burman 2014 Source
Goolsbee 2006 Source
Matthews 2012 Source
Nguyen et al. 2012 Source
Our non-verbatim summary of a conversation with Alan D. Viard on March 25, 2014 Source
Our non-verbatim summary of a conversation with Bill Gale on March 28, 2014 Source
Our non-verbatim summary of a conversation with Daniel Shaviro on July 17, 2014 Source
Our non-verbatim summary of a conversation with David Kamin on August 1, 2014 Source
Our non-verbatim summary of a conversation with Richard England on March 27, 2014 Source
Peterson Foundation 990 2013-2014 Source
Peterson Foundation Revenues and Taxes 2010 Source
Tax Policy Center Funders 2015 Source
World Bank GNI 2015 Source

Alcohol Taxation

This is a writeup of a shallow investigation, a brief look at an area that we use to decide how to prioritize further research.


In a nutshell

What is the problem?

The Centers for Disease Control and Prevention reports that excessive drinking causes tens of thousands of deaths and costs society hundreds of billions of dollars every year in the United States.

What are possible interventions?

We focus on alcohol excise taxes in this investigation. The evidence suggests that alcohol consumption is sensitive to price changes, and so alcohol excise taxes are likely to decrease consumption and related social costs. In general, the value of taxes on alcohol has eroded in the past few decades. However, some state-wide campaigns to raise alcohol taxes have been successful in recent years. A funder could support a variety of research or advocacy efforts at the state or federal level to encourage alcohol tax increases.

Who else is working on it?

A number of organizations support work related to alcohol abuse prevention and treatment, but our understanding is that few focus on alcohol tax policy, and we are not aware of any major active funders in the area. Some research is being conducted by the US government and other institutions.


1. What is the problem?

Excessive drinking has been linked to significant costs to society, including increased liver disease, reckless driving, lost productivity, unsafe sex and STIs, and violent crime.1 Although the exact social cost is uncertain, the Centers for Disease Control and Prevention (CDC) reports that alcohol causes around 88,000 deaths (10% of all deaths among working-age adults) and costs the economy around $224 billion per year in the US.2

Binge drinking (defined as having four or more drinks in one session for women, and five or more for men) is by far the most common and socially harmful form of excessive alcohol consumption in the US.3 However, only a small fraction of binge-drinkers would be classified as “alcohol dependent.”4 Interventions that target binge-drinkers, not just people who suffer from alcohol dependence, may help substantially reduce social harms from excessive drinking.


2. What are possible interventions?

We began investigating alcohol tax policy after hearing from Mark Kleiman and Phil Cook that they found the research on the impact of alcohol taxes promising.5 In particular, Kleiman claimed that increasing alcohol taxes is likely one of the most effective ways to reduce crime.6

We have focused primarily on alcohol tax policy, which we see as having several advantages as an approach to reducing excessive drinking:

  • We start with an assumption that raising prices will reduce consumption.
  • The taxes would be relatively easy to implement and enforce, and governments are incentivized to enforce the law in order to collect revenue. 7
  • There has been extensive research on the effects of alcohol excise taxes on harms from alcohol, which we discuss below.

We are aware of other potential interventions, but have not investigated them. These include:

  • Supporting the implementation of social host ordinances. These ordinances render adults criminally and/or financially liable for underage drinking on their property.8
  • Further restricting when and where individuals are able to purchase alcohol.9
  • Imposing marketing restrictions on alcohol companies, especially for marketing aimed at young people.10
  • Increasing the price of alcohol by restricting “happy hours” and other discounts.11
  • “Swift and certain” sanctions (mild but almost immediate punishment for alcohol abuse) for people on probation for alcohol-related crimes.12
  • Stricter enforcement of current laws and regulations, such as the minimum drinking age and driving under the influence laws.13
  • Supporting litigation campaigns against alcohol companies.14

2.1 Alcohol Taxation

The tax rate of alcohol in inflation-adjusted terms has decayed significantly in recent years.15 Federal alcohol taxes have not been raised since 1991, and many states have kept alcohol taxes level for decades.16 The experts we spoke with suggested that increasing alcohol taxes can reduce consumption and bring alcohol’s private costs more in line with its social costs.17 Heavy drinkers would bear most of the cost of the tax, and contribute most to raising revenue.18

The Open Philanthropy Project commissioned David Roodman to conduct a replication review of the existing literature to assess the evidence about the likely humanitarian impacts of raising alcohol taxes. He summarizes the large existing literature and estimates that a 10% increase in the price of alcohol would lead to roughly a 5% reduction in the amount of alcohol consumed.19 The best evidence also seems to indicate that higher alcohol prices cause a substantial decrease in alcohol-caused death (particularly due to cirrhosis).20 We have less information about possible tax-induced reductions in violence and traffic deaths.21 Overall, Roodman’s review estimates that a 10% tax-induced price hike in the US would reduce the number of alcohol-caused deaths by 9-25%, which would amount to 2,000-6,000 fewer deaths per year.22 Using the more expansive CDC definition of alcohol-caused deaths and assuming that alcohol tax increases would have the same proportional effect on them, a 10% price increase would lead to 8,000-22,000 fewer deaths per year in the U.S.23 However, our impression is that a 10% increase in prices is significantly larger than recent state alcohol tax increases, which have raised prices by more like 3%.24

2.2 What has the track record of past advocacy efforts been?

David Jernigan reports that reform advocates attempt to increase alcohol taxes in 20-30 states per year, of which the vast majority fail.25

At least two states (Illinois and Maryland) have recently raised alcohol taxes, and the Maryland increase included a public health (not just a revenue-raising) rationale; it combined a public health message with a coalition of 1,200 groups and won a sales tax increase of three percent, or roughly five cents per drink, which amounted to a $75 million annual increase in state revenues.26 We do not know how feasible it would be to replicate the Maryland tax increase in other states.

A consideration in favor of state (rather than federal) campaigns is the possibility that the success of several campaigns could create enough momentum to prompt changes in other states or at the federal level. A similar process occurred after several states first altered their tobacco tax policies in response to an increased understanding of the dangers of smoking.27


3. Who else is working on this?

Our understanding is that alcohol policy research and advocacy has experienced a decline in private funding and there is little support for alcohol policy reform from large foundations today.28

A number of organizations, such as Mothers Against Drunk Driving, work on alcohol policy.29 These organizations represent a strong alcohol abuse prevention and treatment community. However, our impression is that most concentrate their efforts on scientific research, alcohol addiction, abuse treatment, and decreasing drunk driving, rather than optimal alcohol tax policy.30

We are aware of only a couple small exceptions:

  • The Center on Alcohol Marketing and Youth (CAMY) offers research and advocacy training relating to alcohol tax policy increases.31
  • The CDC funds a few million dollars’ worth of research and advocacy on alcohol policy each year, including supporting CAMY’s work on alcohol tax policy.32

4. Questions for further investigation

Our investigation in this area has been limited, and many important questions remain unanswered by our investigation.

Amongst other topics, our further research on this cause area might address:

  • How would additional funding translate into additional advocacy efforts and to what extent is funding the bottleneck to advocacy success on alcohol tax issues?
  • How should we think about the “momentum” dynamics at the state and federal level?33
  • What are the possible negative social and economic consequences of alcohol tax increases?
  • What other interventions might cost-effectively reduce the harms from alcohol?
  • Do people displace alcohol consumption with the consumption of other drugs when alcohol taxes rise?

5. Our process

We initially decided to investigate this issue because Mark Kleiman, one of our criminal justice reform grantees, told us that excessive alcohol consumption was the most important public policy issue he knew of with no major advocate.34 While Kleiman was primarily focused on the impact of alcohol on crime, the bulk of our research has been on the public health aspects of alcohol consumption.

We’ve spoken to roughly half a dozen individuals in our exploration of this issue to date. Public notes are available from our conversations with:

We also commissioned David Roodman to conduct a replication review for the Open Philanthropy Project on the impacts of alcohol taxes on consumption and health outcomes.


6. Sources

DOCUMENT SOURCE
Roodman 2015 Source
Our non-verbatim summary of a conversation with David Jernigan, August 6, 2014 Source
Our non-verbatim summary of a conversation with James Mosher, August 12, 2014 Source
Our non-verbatim summary of a conversation with Mark Kleiman, July 2, 2013 Source
Our non-verbatim summary of a conversation with Phil Cook, July 29, 2014 Source
Our non-verbatim summary of a conversation with the CDC’s Alcohol Program, September 5, 2014 Source
Stahre et al. 2014 Source

Governance of Solar Radiation Management

This is a writeup of a shallow investigation, a brief look at an area that we use to decide how to prioritize further research.

In a nutshell

What is the problem?

Solar radiation management is a type of geoengineering that aims to cool the earth by reflecting sunlight away from it. As a category, solar radiation management appears to be both riskier and closer to being ready for use than other types of geoengineering. However, there are currently no specific systems in place to govern research into solar radiation management, or its deployment at any scale. Whether or not solar radiation management turns out to be safe and beneficial, we believe improved governance would make it more likely that decisions about research and deployment of the technology are made wisely and in the interests of humanity as a whole.

What are possible interventions?

A philanthropist interested in supporting the governance of solar radiation management could fund research into possible approaches to governance, or encourage discussion of and education about this issue among decision-makers and the general public.

Who else is working on it?

Funding for governance initiatives is limited, and comes mostly from government-funded agencies. We believe there is currently little private philanthropy in this area.

 


1. What is the problem?

1.1 What is solar radiation management?

During our investigation into geoengineering, we repeatedly heard about the lack of governance around the research and deployment of solar radiation management (SRM). SRM is a type of geoengineering which aims to reflect away a small percentage of the sunlight directed towards the earth. It is expected to have a cooling effect on the planet, but may not counteract other effects of high carbon dioxide concentrations (such as ocean acidification).

SRM is one of two main types of geoengineering; the other is carbon dioxide removal (CDR), which aims to remove carbon dioxide from the atmosphere after it has already been emitted. We have focused on the governance of SRM because our impression is that as a technology it is generally cheaper, riskier, and closer to being ready for deployment.1

Several possible approaches to SRM have been proposed; the two that we have seen discussed most frequently are injecting sulfate particles into the stratosphere and using saltwater spray to brighten clouds.2 Both of these techniques have been brought to researchers’ attention by effects which have already been observed in the physical environment: the idea of injecting aerosols into the stratosphere is based on the cooling effect that follows the release of large amounts of sulfur dioxide into the stratosphere during volcanic eruptions; the idea of brightening clouds is based on observations of brightened areas of clouds produced by aerosol particles in the exhaust emissions of commercial cargo ships.3 Beyond these observations, the current scientific understanding of SRM comes mostly from modeling studies using climate simulations. Studies of this kind examining aerosols in the stratosphere suggest that it may be possible to create large cooling effects without the need for many (or any) major technological breakthroughs, and at a relatively low cost.4

We note that scientists and policymakers interested in SRM research emphasize that they do not see SRM as a replacement for climate change mitigation (i.e. global efforts to reduce greenhouse gas emissions).5Rather, it is generally considered worth developing as part of a suite of possible responses to climate change, or as a tool to be used only in the event of particularly dangerous or severe climate change.6

1.2 What is SRM governance?

‘Governance’ in this context refers both to ‘hard’ governance, such as government regulations or international treaties, and ‘soft’ governance, such as codes of conduct or community norms. We believe it could be beneficial to support the development of governance mechanisms relating both to scientific research into SRM, and to possible deployment of SRM. (In the footnote, we describe two cases of potentially risky technologies which were subject to specific governance arrangements while under development, which could provide a precedent for governance arrangements around SRM research.)7

In this shallow investigation, we focus on governance of research, mostly due to our impression that this is likely to be relevant on a shorter time frame than governance of deployment. Possible approaches to the governance of SRM research could include researcher-driven codes of conduct, national regulations, or international treaties.

1.3 Why is SRM governance important?

Deployment of SRM may be risky and its potential effects are poorly understood; if deployed, it might help reduce the harmful effects of climate change, but would likely have global effects which might be difficult to reverse; it also appears that it would be low-cost and relatively straightforward to deploy.8

Taken together, we find these to be strong reasons to support some form of governance in order to ensure, firstly, that research into SRM is well-directed and safe; and secondly, that if the technology is ever ready to be deployed, decisions about its use are made in the interests of the global community.

We find that thinking in terms of possible worst-case scenarios clarifies why one could believe that improved governance of SRM could be important, without necessarily supporting the development or use of the technology itself. Roughly, we see four possible scenarios in which handling SRM poorly could cause bad outcomes:

  • If SRM is not used when it should have been, or too little SRM is used, or it is used too late (i.e. if extreme climate change occurs, and SRM could have safely reduced its effects but is not deployed);
  • If SRM is used when it should not have been, or too much is used, or it is used too soon (i.e. if someone capable of deploying SRM decides to do so, but it has large negative side effects, or if an experiment which is carried out causes damage in some way);
  • If SRM is successfully deployed, but its use is abruptly terminated in a way that causes harm (i.e. if SRM is being used to counteract the warming effects of high greenhouse gas levels, then if SRM suddenly stopped being used, the earth could potentially experience large, rapid rises in temperature);9
  • If disagreements about SRM lead to conflict (we find this especially plausible if the benefits and harms of deployment would be unevenly spread, and one state or group were planning to act unilaterally).

It is difficult to estimate how bad each of these four scenarios could be. Taking them in order:

  • Our page on extreme risks from climate change puts the chance of climate change having much worse effects than expected (greater than 6.4ºC warming by 2100) at around 10%, but we are highly uncertain about what this would mean for human welfare.
  • According to researchers, SRM might have unintended effects on many features of the global climate, including precipitation, atmospheric and oceanic circulation patterns, and ozone levels.10 We have not seen any research attempting to describe these changes in terms of humanitarian effects, but our understanding is that they could potentially be destructive.
  • We have heard from several people that the possible negative effects of ceasing to deploy SRM after it has been in use for some time represent a major unknown, and could be severe. In particular, the possibility of rapid warming resulting from SRM ‘termination’ is seen as potentially much more dangerous than more gradual warming due to gradual greenhouse gas accumulation. 11
  • Likewise, although it is difficult to predict the results of a hypothetical conflict over SRM, it does not seem unreasonable to believe that the humanitarian costs could be very large, especially if one or more major powers were involved.

We believe that these possible scenarios illustrate how improved governance of SRM could be important, even if it turns out that the technology is dangerous and should not be used. In each of the scenarios, robust governance arrangements that are specifically designed for the case of SRM would presumably make it more likely that good decisions are made about what research is done, and about how and whether to use SRM. If research is governed well, it will be less likely that dangerous experiments are carried out or that research gets halted prematurely; a well-functioning governance system for deployment would make it more likely that SRM deployment could be prevented if it would be dangerous, and supported if it would be beneficial, without resorting to armed conflict.

The strongest consideration we have found against supporting the field (even if only indirectly, via supporting governance initiatives) is the possibility that it could lead to a ‘slippery slope’ towards deployment, sometimes called ‘technological lock-in’. The idea is that as research continues, it will gather momentum as well as funders and supporters whose influence will grow with the field.12 However, we feel that this risk is outweighed by the considerations outlined above.

 


2. What are possible interventions?

Governance of SRM research is being actively discussed by climate change and geoengineering scientists, as well as policymakers. There have been repeated calls for the formation of some kind of governance strategy for SRM research; some common themes have surfaced, including points of agreement and questions for further deliberation. More detail in the footnote.13

We see several avenues that a philanthropist interested in supporting the governance of SRM research could pursue. These include:

  • Funding research into the governance of scientific fields in general, or of SRM research in particular. Research of this kind could include investigating precedent cases (i.e. other scientific fields which have been subject to field-specific governance), or developing proposals for the case of SRM research.
  • Supporting efforts to move towards the formation of some kind of governance agreement or roadmap. This could take the form of:
    • Supporting convenings or conferences for the relevant decision-makers; this could be some combination of SRM scientists, scientific policy experts, government officials, environmentalists, and others.
    • Outreach or education campaigns to increase public understanding and awareness of SRM and the issues surrounding it.
    • Advocacy in support of a particular approach to governance; this could be directed towards governments, scientists, international bodies, or funders, for example.

At this point we have not put significant time into considering how to promote the governance of SRM deployment, although we believe that approaches similar to those listed above could be adapted for the development of governance systems for deployment. We also find it plausible that the systems developed to govern research will have significant influence on how deployment is eventually governed.14

 


3. Who else is working on this?

Below we list some agencies and funders we have identified as contributing funding to projects relating to SRM governance. During our 2013 investigation of geoengineering, we compiled a spreadsheet of solar geoengineering projects and their funding sources. Two of these projects are explicitly focused on governance, and we identified several others which relate at least partially to governance; funders of these projects appear below.15 We also list below the funders of the four geoengineering reports which have informed this investigation.16 Each report includes significant coverage of SRM governance issues.

 

Funders of projects listed in our spreadsheet of geoengineering projects with at least some governance component:

  • National Science Foundation (NSF)
  • National Aeronautics and Space Administration (NASA)
  • National Oceanic and Atmospheric Administration (NOAA)
  • Central Intelligence Agency (CIA)
  • UK Natural Environment Research Council
  • UK Engineering and Physical Sciences Research Council
  • UK Economic and Social Research Council
  • UK Arts and Humanities Research Council
  • German Research Foundation (DFG)
  • German Federal Ministry of Education and Research (BMBF)
  • Brandenburg Ministry for Science, Research and the Arts
  • Academy of Finland’s Research Program on Climate Change (FICCA)
  • EU Seventh Framework Programme for Research (FP7)
  • Bill Gates

Organizations which have funded reports on SRM:

  • The Royal Society
  • Bipartisan Policy Center
  • Environmental Defense Fund
  • The World Academy of Sciences
  • The Carbon War Room
  • Zennström Philanthropies
  • Fund for Innovative Climate and Energy Research (FICER)
  • Bipartisan Policy Center
  • National Academy of Sciences
  • NOAA
  • NASA
  • US Department of Energy

Our impression, which is borne out by this list, is that most current funding for SRM governance comes from government agencies or government-funded bodies, while private philanthropy in this area is very limited.17 We would guess that total funding directed towards SRM governance is currently less than $10 million per year. When we investigated geoengineering in 2013, we identified approximately $11 million per year of funding for geoengineering projects which explicitly included a solar geoengineering (SRM) component.18 However, these projects do not necessarily relate to governance, and we believe only a fraction of that funding was directed towards SRM governance.19

We have not searched extensively for new SRM governance projects that could have received funding since 2013, although we tentatively believe that we would have heard about large new projects in the course of our conversations with experts in the field (more on our process below). In addition, our spreadsheet of projects does not account for research that is supported by general institutional resources (such as unrestricted funding to a university, graduate students’ stipends, or computing resources). We would plan to make further inquiries about new projects before committing significant resources to the field.

 


4. Questions for further investigation

Our research in this area has been relatively limited, and many important questions remain unanswered by our investigation. If we were to do further research in this area, we might attempt to answer questions such as:

  • How has the development of other potentially dangerous technologies been governed?
  • How can a philanthropist contribute to the development of governance mechanisms for geoengineering?
  • Does public discussion of SRM either increase or decrease climate change mitigation efforts?
  • How likely is it that one state would decide to deploy SRM unilaterally?

 


5. Our process

We were initially introduced to SRM governance as an issue during our investigations of climate change and geoengineering. During those investigations, and as part of this targeted investigation of SRM governance, we have spoken to experts on climate change, geoengineering and SRM governance. The following conversations contained at least some discussion of SRM governance and contributed to our understanding of the topic:

We had several follow-up conversations with Andy Parker of SRMGI. We also read several papers by SRM scientists which were recommended to us during these conversations, as well as four major reports on geoengineering: by the Royal Society20, the Bipartisan Policy Center21, the SRM Governance Initiative (SRMGI)22, and the National Research Council23. Each provides a broad overview of the field of SRM governance at the time of publication.

 


6. Sources

DOCUMENT SOURCE
Bipartisan Policy Center 2011 Source (archive)
FICER website 2015 Source (archive)
GiveWell’s non-verbatim summary of a conversation with Jane C.S. Long, June 1, 2012 Source
Morgan, Nordhaus and Gottlieb 2013 Source (archive)
National Research Council 2015 Source (archive)
Parson and Keith 2013 Source (archive)
Robock 2008 Source (archive)
Royal Society 2009 Source (archive)
Schäfer et al. 2013 Source (archive)
SRMGI 2011 Source (archive)

 

Nuclear Weapons Policy

This is a writeup of a shallow investigation, a brief look at an area that we use to decide how to prioritize further research.


In a nutshell

What is the problem?

Nuclear risks range in magnitude from an accident at a nuclear power plant to an individual detonation to a regional or global nuclear war. Our investigation has focused on the risks from nuclear war, which, while unlikely, would have a catastrophic global impact.

What are possible interventions?

A philanthropist could fund research or advocacy aimed at reducing nuclear arsenals, preventing nuclear proliferation, securing nuclear materials from terrorists, or attempting to more directly prevent the use of nuclear weapons in a conflict (e.g. by working with civil society actors to reduce the risk of conflict). A funder could also raise awareness about risks from nuclear weapons in general by working with media or educators, or through grassroots advocacy.

Who else is working on it?

Several major U.S. foundations fund approximately $30 million/year of work on nuclear weapons issues, with most of this work supporting U.S.-based policy research and graduate/post-graduate education, some advocacy, and “track II diplomacy” (i.e. meetings between nuclear policy analysts and current and former government officials, often from different states). We do not have an estimate of funding from other non-profits in the space, but the Nuclear Threat Initiative has an annual budget of $17-18 million and is not primarily funded by foundations. The U.S., other governments, and the International Atomic Energy Agency spend much larger amounts of money managing risks from nuclear weapons. We see work on nuclear weapons policy outside of the U.S. and U.S.-based advocacy as the largest potential gaps in the field, with the former gap being larger, but also harder for a U.S.-based philanthropist to fill.


1. What is the problem?

1.1 Our focus on nuclear war

There are numerous conceivable scenarios in which some sort of nuclear incident could occur, ranging from a meltdown at a nuclear power plant to the detonation of a “dirty bomb” (i.e. a bomb that combines radioactive material with conventional explosives) to an outright nuclear war between states.1< Though this is not a question we have thoroughly investigated, the risk of nuclear war between states strikes us as the most potentially destructive scenario because of the magnitude of some states’ nuclear arsenals, the possibility of wider escalation, and the possibility of nuclear winter. Accordingly, although we recognize the devastating potential of other kinds of nuclear incidents, our discussion below focuses on the risk from nuclear war.2 Note that we interpret efforts to address the risk of nuclear war broadly, to include issues like reduction of nuclear arsenals, prevention of nuclear proliferation, securing nuclear materials, and facilitating domestic civil discourse regarding nuclear weapons among countries that may seek to acquire nuclear weapons.
The U.S. and Russia hold the vast majority of the world’s nuclear weapons:3

COUNTRY ESTIMATED NUCLEAR WEAPONS INVENTORY
Russia 8,000 (4,300 in military custody)
United States 7,300 (4,760 in military stockpile, 1,980 deployed)
France 300
China 250
Britain 225
Pakistan 100-120
India 90-110
Israel 80
North Korea <10
Total ~16,300

Since the end of the Cold War, U.S. and Russia nuclear weapons inventories have greatly (and fairly continuously) declined, as illustrated by the graph below:4

We have not thoroughly investigated the probability or likely consequences of a nuclear detonation or a broader nuclear war, though we see both scenarios as possibilities. Our understanding is that the risk of global nuclear escalation has decreased substantially since the end of the Cold War.5 We note, however, that some people we spoke with suggested that total nuclear risk had increased since the Cold War.6

1.2 Which conflicts are most worrisome?

Though very unlikely in the present climate, a nuclear war between the U.S. and Russia would have the greatest destructive potential. A 1979 report by the U.S. Office of Technology Assessment estimated that in an all-out nuclear war between the U.S. and Russia, 35-77% of the U.S. population and 20-40% of the Russian population would die within the first 30 days of the attack.7 We have not vetted this estimate, but note that at the time, combined U.S./Russia nuclear weapons stockpiles were approximately three times as large as they are today, as seen in the graph above. An additional potential risk of a U.S./Russia nuclear would be the nuclear winter that might follow. Nuclear winter could potentially disrupt global food production and result in an even larger number of deaths, though we have not thoroughly explored the likelihood or likely consequences of this scenario.
People we spoke with generally perceived the greatest risk of nuclear conflict in South Asia, where Pakistan has pledged to respond to any Indian attack on its territory with a nuclear bomb.8 Some scholars have argued that a war between India and Pakistan could alter the global climate, potentially threatening up to a billion people with starvation,9 though this estimate strikes us as high. Our understanding is that this claim is primarily based on:

  • Modeling the amount of smoke that would reach the stratosphere in the event of a nuclear war between India and Pakistan in which 100 nuclear weapons strike cities.10
  • Using a climate model to simulate the effect of that smoke going into the stratosphere.11
  • Using a crop model to estimate the effect of those climactic changes on the yields of crops in China and the Midwest.12

The last paper cited estimated that a 100-weapon nuclear exchange between India and Pakistan would result in a 10% decline in average caloric intake in China, with potentially similar consequences elsewhere.13
We have not vetted this analysis. However, even accepting its conclusions, our impression is that relatively little work has been done to consider the likely human consequences of the subsequent decline in agricultural production.14 We would guess that the predicted loss of crops would be insufficient to cause a billion people to starve for the following reasons:

  • China has significant food reserves, which, according to the paper estimating changes in the yields of crops cited above, would not be depleted until two years after the initial nuclear exchange.15
  • Our impression is that the crop model was not designed with extreme scenarios like this in mind, and is not accounting for pressure to make significant changes to food production in the midst of a global crisis.
  • A substantial portion of crops grown are used to feed livestock, which is significantly less efficient than slaughtering existing livestock and directly eating the food we normally use to raise them. In the short run, livestock reserves could be slaughtered to meet demand for food.16 In the longer run, we would guess that a decrease in the food supply would raise food prices, creating incentives to produce more food (e.g. by using more land for food production and shifting away from less efficient animal-based means of production).

2. What are possible interventions?

2.1 Areas for nuclear policy work

Almost any kind of progress on nuclear security ultimately requires some kind of change on the part of government, or the prevention of some change. Accordingly, much of the grant-making in this field focuses on:

  • Policy analysis by think tanks and university centers focused on nuclear weapons issues.
  • Advanced education to create better policy analysis in the future, such as support for academic centers that provide graduate and post-doctoral training in the field of nuclear weapons policy.17
  • Advocacy and communications, which is a major focus of the Ploughshares Fund (discussed below).
  • Track II diplomacy—meetings between nuclear policy analysts and current and former government officials, often from different states.

George Perkovich, Director of the Nuclear Policy Program at the Carnegie Endowment for International Peace, identified several different goals for this work:18

  • Reduction of nuclear arsenals
  • Prevention of nuclear proliferation
  • Preventing terrorists from obtaining nuclear weapons
  • Direct efforts to prevent nuclear escalation

Additionally, work can be categorized by the region the topic relates to (e.g. policy related to Iran, Russia, South Asia, North Korea, United States) and where the work is done (e.g. is the scholar/advocate working in the U.S. or India?).

2.1.1 Reduction of existing nuclear arsenals

Work to reduce nuclear arsenals typically focuses on the five permanent members of the Non-Proliferation Treaty, which possess the largest numbers of nuclear weapons. Several approaches have been proposed for encouraging these countries to reduce their nuclear arsenals:

  • Laying the intellectual groundwork for further talks between the U.S. and Russia about reducing the number of warheads in each country’s stockpile
  • Advocating for the U.S. executive branch to reduce the U.S. nuclear stockpile19
  • Supporting policy research and advocacy related to ballistic missile defense. Russia and China are concerned that U.S. investment in ballistic missile defense—i.e. systems for shooting down incoming ballistic missiles—could destabilize deterrence relationships. If ballistic missile defense were sufficiently effective, it could increase the number of nuclear weapons needed to ensure successful retaliation. Accordingly, U.S. investment in this area poses a potential obstacle to negotiating further arms reductions in Russia and China.20

Some organizations, such as Global Zero, advocate for the elimination of all nuclear weapons. We have not investigated the question of whether outright elimination is likely to be the best policy path, but we understand this to be an area of active debate within the academic community.21
The Ploughshares Fund is the largest funder of advocacy efforts with an annual budget of approximately eight million dollars. It argues in favor of cutting the U.S. federal budget for nuclear weapons.22 Joe Cirincione (President, Ploughshares Fund) and Philip Yun (Executive Director, Ploughshares Fund) identified the following advocacy opportunities for reducing the size of nuclear stockpiles in the U.S.:

  • Promoting public support for the ideas that nuclear weapons continue to pose significant risks, have limited deterrence value, and are costly to maintain. A philanthropist could seek to build support for these ideas by working with filmmakers or improving online educational materials and social media campaigns.
  • Supporting efforts to revive the U.S.-Russia dialogue on nuclear weapons.
  • Seeking to influence the nuclear policy of the next presidential candidates by supporting relevant policy analysis.23
  • Advocating for lawmakers to reduce the U.S. nuclear arsenal.
  • Supporting policy analysis and advocacy opposing the development of ballistic missile defense in the U.S. in hopes of making U.S.-Russia and U.S.-China mutual arms reductions more likely (discussed above).

While arms reductions in the U.S. and Russia may appear to be a natural target for a funder interested in reducing global catastrophic risk, we are uncertain about how much additional philanthropy could assist with arms reduction at this time. As noted above, the U.S./Russia weapons inventories have steadily declined since the end of the Cold War, suggesting that progress on the problem may continue in the absence of additional philanthropy. In addition, people we spoke with and consultants surveying the field for other funders saw limited opportunities for additional philanthropy to push forward U.S./Russia arms reductions.24

2.1.2 Prevention of nuclear proliferation

Non-proliferation work is focused on preventing additional countries from obtaining nuclear weapons. Within non-proliferation, the most common concern among people we spoke with was that Iran might obtain a nuclear weapon. For example, Joe Cirincione suggested that a philanthropist could advocate in favor of making a deal with Iran that would prevent Iran from obtaining nuclear weapons,25 which is a major focus for the Ploughshares Fund (see “Philanthropic Funders” below). If Iran obtains nuclear weapons, it could potentially destabilize the Middle East and encourage other countries to obtain nuclear weapons.26 In early 2015, after most of this review was already written, the U.S. and Iran reached an agreement on a framework for monitoring Iran’s nuclear program, though the deal has not yet been approved. We have a limited understanding of how this might affect philanthropic approaches related to non-proliferation in Iran.27
Some funders appear to focus on advocacy to individual countries that may attempt to acquire nuclear weapons, or on funding academic and civil discourse related to nuclear weapons in key regions through non-nuclear states such as Turkey, Brazil and South Korea.28 Others focus more on supporting international institutions such as the International Atomic Energy Agency (IAEA).29 Carl Robichaud—a Program Officer focusing on the International Peace and Security Program at the Carnegie Corporation of New York—identified the following options for a philanthropist to support the IAEA:30

  • Fund open source analysis on topics that would be of use to the IAEA
  • Hold workshops where IAEA staff can learn how to utilize new tools and approaches, such as geospatial analytics and big data analysis (the Carnegie Corporation put on a workshop between IAEA staff and innovators from other sectors in December)
  • Support the Vienna Center for Disarmament and Non-Proliferation, which serves as research and training center for the IAEA
  • Sponsor dialogues within the IAEA to reduce politicization

2.1.3 Preventing terrorists from obtaining nuclear weapons

Another approach would be to support appropriate monitoring of existing nuclear material in an attempt to prevent it from falling into the hands of terrorists. The difficulty and high costs of manufacturing nuclear weapons makes securing nuclear materials important for preventing nuclear terrorism.31 The Nuclear Threat Initiative (NTI) has been addressing this problem by using the Nuclear Security Summits to develop buy-in for global, enforceable nuclear security standards, which currently don’t exist.32
A nuclear terrorist attack is not a nuclear war and therefore not directly in the center of this investigation, but we would guess that nuclear terrorism—particularly in South Asia—could potentially ignite a nuclear war. A philanthropist could try to prevent terrorists from obtaining nuclear weapons through:

  • Policy development and advocacy related to creating a standard set of international norms regarding the security of nuclear materials.33
  • Funding innovative demonstration projects in hopes of causing governments to scale them up. For example, Joan Rohlfing —President and COO of NTI—told us that the Nuclear Threat Initiative worked with Serbia to return non-secure nuclear materials to Russia, and that the effort led to the creation of a U.S. government program that spent billions of dollars on similar projects.34

Our impression is that the security of nuclear materials already receives significant attention. It is the primary focus of the Nuclear Threat Initiative,35 and a priority for national governments.36

2.1.4 Direct efforts to prevent nuclear war

Direct efforts to prevent nuclear war may focus on attempting to reduce the likelihood of deployment of nuclear weapons in a given conflict situation, or on attempting to reduce the risk of conflict between nuclear states. In our conversation, Dr. Perkovich gave some examples of both kinds of efforts with respect to India and Pakistan, focusing on various forms of civil society engagement, “track II” diplomacy, and policy research.37
We have not thoroughly explored this area, but people we spoke with have suggested there may be limited potential for additional philanthropy to address these issues, at least in Russia (as discussed above) and in South Asia.38

2.2 Approaches to improving nuclear weapons policy and their track records

2.2.1 Policy analysis and advanced education

A majority of funding supports policy research and advanced education, especially from the large foundations in this space.39 However, we have a fairly limited sense of the track record of policy analysis for improving nuclear weapons policy. Nevertheless, we understand that funding from the Carnegie Corporation and the MacArthur Foundation is generally believed to have played a major role in the passage of the Nunn-Lugar Act40, which was responsible for “the dismantling or elimination of 7,514 nuclear war-heads, 768 ICBMs, 498 ICBM sites, 155 bombers, 651 submarine-launched ballistic missiles, 32 nuclear submarines, and 960 metric tons of chemical weapons.”41 For context, according to one estimate, the U.S. and Russia held 19,008 and 29,154 nuclear weapons (respectively) when the Nunn-Lugar Act was passed in 1991, so that Nunn-Lugar was responsible for eliminating or dismantling approximately 15% of the total U.S./Russia nuclear arsenal.42
Policy research funded by philanthropists may have played a role in improving nuclear policy in a few other cases besides the Nunn-Lugar Act—such as establishing theories of deterrence and the New START treaty, which further reduced deployed warheads in the U.S. and Russia.43
Due to our limited understanding of nuclear weapons policy analysis, we also have a limited understanding of the potential impact of advanced education on nuclear weapons policy.

2.2.2 Advocacy

Multiple people suggested to us that work on advocacy and communications is relatively neglected in nuclear weapons policy.44 Our investigation therefore focused more closely on opportunities within advocacy.
In addition to the advocacy opportunities already mentioned (especially under the heading “Reduction of existing nuclear arsenals”), building general capacity for advocacy in order to change policy if a window of opportunity arises may be valuable.45
We are uncertain about the role for grassroots advocacy on nuclear weapons issues, in comparison with more technocratically-oriented advocacy and policy analysis. On this topic:

  • Robert Einhorn—a senior fellow with the Arms Control and Non-Proliferation Initiative and the Center for 21st Century Security and Intelligence at the Brookings Institution—cautioned that grassroots efforts have a mixed record at best in changing nuclear policy, pointing to the fact that the U.S. has not ratified the Comprehensive Nuclear Test Ban Treaty despite its support from a large majority of Americans.46
  • Mr. Robichaud pointed to the New START treaty as an instance where public engagement played an important role.47

2.3 Philanthropic opportunities in other countries

Very little foundation funding supports nuclear policy work abroad, which means that other countries have much more limited capacity for developing and advocating for policy related to nuclear weapons,48 though U.S. foundations have funded some policy research in Russia and Asia:

  • The MacArthur Foundation’s Asia Security Initiative supported increased communication and dialogue between policy analysts working on security issues relevant to Asia, including supporting researchers in Asia. This program has since ended.49
  • The Carnegie Endowment for International Peace has a satellite center in Moscow, and it has received funding from the Carnegie Corporation.50

A philanthropist looking to further support opportunities in other countries could:

  • Fund the creation of a center for nuclear policy research in Pakistan in hopes of increasing Pakistan’s willingness to comply with international nuclear law and norms.51
  • Fund fellows programs for people from Asia, perhaps including an exchange component during which the fellows spend time at U.S. or U.K. institutions, to train the next generation of nuclear policy analysts.52
  • Fund professors/senior researchers from U.S. nuclear policy institutions to visit think tanks in Asia and help train young nuclear policy analysts.53

However, people we spoke with suggested it would be challenging for a foundation to make its first grants on nuclear weapons policy in support of programs abroad54 and stressed the importance of having a local presence for monitoring grants.55 Our impression is that a philanthropist supporting research, education, and/or advocacy abroad would face significant challenges in terms of networking, communication, understanding context, and monitoring/evaluation.
We distinguish between work done in other countries and work about the policies of other countries. While the former receives limited attention, the latter does not, and has been discussed in various contexts above. For example, work related to potential conflict in South Asia—where the greatest threat is perceived56—is relatively crowded. Nuclear issues in South Asia receive substantial attention in the form of programs at universities and think tanks57 as well as track II diplomacy, and some funders see little room for additional philanthropy on the topic.58


3. Who else is working on this?

3.1 Government

According to Gary Samore, Executive Director for Research at the Belfer Center for Science and International Affairs at Harvard:59
Nearly all government security agencies are involved with nuclear policy to some degree, including:

  • The White House International Security Council
  • The Department of Defense
  • The Department of State
  • The Department of Energy, involved in both nuclear energy and nuclear security (through the National Nuclear Security Administration)
  • Intelligence agencies

We have not investigated the amount of funding these agencies devote to nuclear issues and have a limited understanding of their activities. But some agencies with large budgets focus primarily on keeping people safe from nuclear weapons:

AGENCY BUDGET ACTIVITIES
National Nuclear Security Administration (NNSA) $12.6B, of which $1.9B is categorized as non-proliferation.60 “NNSA maintains and enhances the safety, security, reliability and performance of the U.S. nuclear weapons stockpile without nuclear testing; works to reduce global danger from weapons of mass destruction; provides the U.S. Navy with safe and effective nuclear propulsion; and responds to nuclear and radiological emergencies in the U.S. and abroad.”61
Domestic Nuclear Detection Office (DNDO) $304M62 The DNDO coordinates U.S. government efforts to detect and prevent nuclear and radiological terrorism against the United States.63

In addition, some intergovernmental organizations devote substantial funding to nuclear security issues. For example, in 2014, the International Atomic Energy Agency had a budget of €344M.64
We currently have a very limited understanding of the activities of these U.S. government agencies and the IAEA. However, our understanding is that the government provides at most limited support for the primary areas addressed by philanthropic funders, such as policy development, advanced education, advocacy, and track II diplomacy.65

3.2 Philanthropic funders

A 2012 report by Redstone Strategy Group, commissioned by the Hewlett Foundation, estimated that philanthropic funding for work on nuclear security between 2010 and 2012 was $31 million/year.66
Our impression is that the total funding in the field has not substantially changed, though some funders have exited the field. A few foundations account for the vast majority of this funding.

FUNDER BUDGET (2014 ESTIMATE) FOCUS AREAS
MacArthur Foundation ~$10M67 Policy research and advanced education in the U.S., focused on control of fissile materials and preventing the spread of nuclear weapons to terrorists.68
Carnegie Corporation of New York ~$10M69 Policy research, advanced education in the U.S., track II diplomacy. Focused on arms reductions, non-proliferation, and security of nuclear materials.70
Ploughshares Fund ~$8M, ~$5.5M in grants Advocacy, especially U.S. policy towards Iran and the U.S. nuclear budget.71
Hewlett Foundation Previously $4M (2012 estimate),72 exiting the field.73 Security of nuclear materials and reducing nuclear arsenals.74 Hewlett’s largest grants in this field were to the Carnegie Endowment for International Peace and the Ploughshares Fund.75
Sloan Foundation Previously $2.9 million (2012 estimate),76 exited the field.77 Policy research and advanced education.78
Skoll Global Threats Fund $1-2M Advocacy, especially U.S. policy toward Iran. Ploughshares is a major grantee.79
Stanton Foundation $2.3M (2012 estimate)80 Advanced education and policy research in the U.S.81

There are also some nonprofits that work on nuclear security issues that do not receive most of their funding from foundations, including, most notably, the Nuclear Threat Initiative (NTI), whose 2015 budget is about $17-18M. Of this, about 90% is devoted to nuclear weapons and about 30% is granted to other organizations (though NTI’s grants usually resemble contracts for service with partners who carry out specific projects that NTI has designed).82 Within nuclear weapons policy, NTI primarily emphasizes securing nuclear materials in order to prevent terrorism, with non-proliferation as a secondary emphasis.83 We do not have an overall accounting of activity by other nonprofits in this area, but a list of the top grant recipients in peace and security in 2008-2009 is available in a report by the Peace and Security Funders Group.84 We would guess that many of the major nonprofits working on nuclear weapons policy are listed there.
Foundations also provide substantial funding for peace and security that isn’t explicitly classified as work on nuclear weapons policy. According to the Peace and Security Funders Group, in 2008-2009, 91 U.S. foundations gave a total of $257M to promote peace and security, for an average of about $130M per year.85 The largest focus areas for these funders (measured by dollars granted) were:

  • Controlling and Eliminating Weaponry (which is described as “mainly focused on nuclear weapons”)
  • Prevention and Resolution of Violent Conflict
  • Promoting International Security and Stability

Each of these areas received about 20-30% of the total funding.86

3.3 Crowdedness of different philanthropic approaches

This section primarily organizes information presented above in order to summarize relative crowdedness of different areas of work on nuclear weapons policy.
The largest potential gaps in this space appear to be work on nuclear weapons policy outside of the U.S. and U.S.-based advocacy, with the former gap being larger but harder for a U.S.-based philanthropist to fill.
As mentioned above, very little foundation funding supports nuclear policy work abroad, which means that other countries have much more limited capacity for developing and advocating for policy related to nuclear weapons.87 However, foundations have funded some work in this area:

  • The MacArthur Foundation’s Asia Security Initiative supported increased communication and dialogue between policy analysts working on security issues relevant to Asia, including supporting researchers in Asia. This program has since ended.88
  • The Carnegie Endowment for International Peace has a satellite center in Moscow, and it has received funding from the Carnegie Corporation.89

A majority of funding supports policy research and advanced education, especially from the large foundations in this space.90 The Ploughshares Fund is the largest foundation focused primarily on advocacy, and is spending about $8M per year. Multiple people suggested to us that work on advocacy and communications were relatively neglected in nuclear weapons policy.91
We have a more limited sense of which areas are most crowded in terms of regional focus (e.g. Iran, Russia, South Asia, North Korea, United States) or objective pursued (e.g. preventing new states from getting nuclear weapons, decreasing the number of nuclear weapons held by countries that already have them, or securing nuclear materials to prevent terrorists from gaining access to them). However, our impression is that work related to potential conflict in South Asia—where the greatest threat is perceived92—is relatively crowded. Nuclear issues in South Asia receive substantial attention in the form of programs at universities and think tanks93 as well as track II diplomacy, and some funders see little room for additional philanthropy on the topic.94 We also note that in early 2015, the U.S. and Iran reached an agreement on a framework for monitoring Iran’s nuclear program, though we have a limited understanding of how this might affect philanthropic approaches related to non-proliferation in Iran.95
Our impression is that the security of nuclear materials also receives significant attention. It is the primary focus of the Nuclear Threat Initiative,96 and a priority for national governments.97


4. Questions for further investigation

We have not deeply explored this field, and many important questions remain unanswered by our investigation.
Amongst other topics, our further research on this cause might address:

  • What are the options for a funder seeking to support work on nuclear weapons policy abroad, particularly in Russia or South Asia? What comparable work has been done in the past, and what is its track record?
  • What other advocacy-based approaches could be pursued within nuclear weapons policy?
  • What other strategies are there for reducing U.S./Russia nuclear inventories? Have we missed any particularly promising strategies that are not being pursued as aggressively as they could be? How would the potential severity of a nuclear winter decline as nuclear inventories shrink?
  • What are the areas where policy research might lead to improved policy? What does such work typically involve? How has policy research in this field resulted in policy change in the past? Are any areas particularly neglected?
  • To what extent could work normally classified under “international peace and security” but not “nuclear weapons policy” or “nuclear security” contribute to reducing the risk of a nuclear war?
  • How likely is the detonation of a nuclear weapon or a broader nuclear escalation? Which sources or conflicts contribute the most to these risks?

5. Our process

We initially decided to investigate the cause of nuclear safety because:

  • The potential devastation from the use of nuclear weapons is so great that an investment in nuclear safety could conceptually have high returns.
  • Unlike some other global catastrophic risks, there is an established philanthropic community working to address nuclear safety issues.

We spoke with 12 individuals with knowledge of the field, including:

  • Joe Cirincione, President, Ploughshares Fund
  • Robert Einhorn, Senior Fellow, Brookings Institution
  • Megan Garcia, Program Officer for the Hewlett Foundation’s Nuclear Security Initiative
  • Erika Gregory, Founding Director, N Square: The Crossroads for Nuclear Security Innovation
  • Bruce Lowry, Director of Policy and Communications, Skoll Global Threats Fund
  • George Perkovich, Director of the Nuclear Policy Program at the Carnegie Endowment for International Peace.
  • Carl Robichaud, Program Officer, International Peace and Security, Carnegie Corporation
  • Joan Rohlfing, President and COO, Nuclear Threat Initiative
  • Gary Samore, Executive Director for Research, Belfer Center for Science and International Affairs, Harvard Kennedy School
  • Philip Yun, Executive Director and COO, Ploughshares Fund

In addition to these conversations, we also reviewed documents that were shared with us and had some additional informal conversations.
Previous version of this page here.


6. Sources

DOCUMENT SOURCE
Carnegie Corporation Annual Report, 2013 Source
Carnegie Corporation Nuclear Security Program Website Source (archive)
Department of Homeland Security, Budget-in-Brief: FY 2015 Source (archive)
GiveWell’s non-verbatim summary of a conversation with Bruce Lowry, November 5, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Carl Robichaud, October 14, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Erika Gregory, September 22, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Gary Samore, September 8, 2014 Source
GiveWell’s non-verbatim summary of a conversation with George Perkovich, June 6, 2013 Source
GiveWell’s non-verbatim summary of a conversation with Joan Rohlfing, December 8, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Joe Cirincione, November 15, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Philip Yun, October 16, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Robert Einhorn, November 10, 2014 Source
Hewlett Foundation Grants Database, 2015 Source (archive)
Hewlett Foundation Nuclear Security Initiative Logic Model Source
Hewlett Foundation Nuclear Security Initiative Webpage Source (archive)
IAEA Regular Budget for 2014 Source (archive)
Kristensen and Norris 2013 Source (archive)
Kristensen and Norris 2014 Source (archive)
MacArthur Foundation’s description of its nuclear security program, March 2014 Source (archive)
MacArthur Foundation International Peace & Security Grant Guidelines, December 2014 Source (archive)
National Nuclear Security Administration, About us Source (archive)
National Nuclear Security Administration, Budget Source (archive)
NTI 2012 Annual Report Source (archive)
Nunn-Lugar Report for GiveWell’s History of Philanthropy Project by Benjamin Soskis, July 2013 (DOCX) Source
Office of Technology Assessment 1979 Source (archive)
Peace and Security Funders Group 2011 Source (archive)
Ploughshares Fund blog post Source (archive)
Redstone Strategy Group 2012 Source
Robock and Toon 2009 Source (archive)
Robock et al. 2007 Source (archive)
Shulman 2012 Source (archive)
Stanton Foundation International and Nuclear Security Webpage Source (archive)
Toon et al. 2007 Source (archive)
Vox, Meet the political scientist who thinks the spread of nuclear weapons prevents war Source (archive)
Vox, The Iran nuclear deal translated into plain English, April 2015 Source (archive)
Wikimedia Commons, US and USSR nuclear stockpiles Source (archive)
Xia et al. 2013 Source (archive)

Potential Risks from Advanced Artificial Intelligence

We have updated our thinking on this subject since this page was published. For our most current content on this topic, see this blog post.

This is a writeup of a shallow investigation, a brief look at an area that we use to decide how to prioritize further research.


In a nutshell

What is the problem?

It seems plausible that some time this century, people will develop algorithmic systems capable of efficiently performing many or even all of the cognitive tasks that humans perform. These advances could lead to extreme positive developments, but could also potentially pose risks from intentional misuse or catastrophic accidents. For example, it seems possible that (i) the technology could be weaponized or used as a tool for social control, or (ii) someone might create an extremely powerful artificial intelligence agent with values misaligned with humanity’s interests. It also seems possible that progress along these directions could be surprisingly rapid, leaving society underprepared for the transition.

What are possible interventions?

A philanthropist could fund technical research aimed at ensuring the robustness, predictability, and goal-alignment of advanced artificial intelligence systems; research in law, ethics, economics, and policy related to advanced artificial intelligence; and/or education related to such research.

Who else is working on this?

Elon Musk has donated $10 million to the Future of Life Institute for regranting to researchers focused on addressing these and other potential future risks from advanced artificial intelligence. In addition, a few relatively small nonprofit/academic institutes work on potential future risks from advanced artificial intelligence. The Machine Intelligence Research Institute and the Future of Humanity Institute each have an annual budget of about $1 million, and a couple of other new organizations work on these issues as well.


1. Background and process

We have been engaging in informal discussions around this topic for several years, and have done a significant amount of reading on it. The debates are in some cases complex; this write-up focuses on reporting the primary factors we’ve considered and the strongest sources we know of that bear on our views.

For readers highly interested in this topic, we would recommend the following as particular useful for getting up to speed:

  • Getting a basic sense of what recent progress in AI has looked like, and what it might look like going forward. Unfortunately, we know of no single source for doing this, as our main source has been conversations with AI researchers. However, we have extensive conversation notes forthcoming for one such conversation that can provide some background.
  • Reading Superintelligence by Nick Bostrom, which gives a detailed discussion of some potential risks, with particular attention to a particular kind of accident risk. (Those seeking a shorter and more accessible introduction might prefer two highly informal posts by blogger Tim Urban,1 who largely attempts to summarize Superintelligence as a layperson. We do not necessarily agree with all of the content of his posts, but believe they offer a good introduction to the subject.) We don’t endorse all of the arguments of this book, but it is the most detailed argument for a particular potential risk associated with artificial intelligence, and we believe it would be instructive to review both the book and some of the response to it (see immediately below).
  • Reviewing an Edge.org online discussion responding to Superintelligence.2. We feel that the arguments made in this forum are broadly representative of the arguments we’ve seen against the idea that risks from artificial intelligence are important.

For our part, our understanding of the matter is informed by the following:

When we began our investigation of global catastrophic risks, we believed that this topic was worth looking into due to the high potential stakes and our impression that it was getting little attention from philanthropists. We were already broadly familiar with the arguments that this issue is important, and we initially focused on trying to determine why these arguments hadn’t seemed to get much engagement from mainstream computer scientists. However, we paused our investigations (other than keeping up on major new materials such as Bostrom 2014 and some of the critical response to it) when we learned about an upcoming conference specifically on this topic,5 which we attended. Since then, we have reviewed further relevant materials such as FLI’s open letter and research priorities document.6


2. What is the problem?

2.1 Timeline

According to many machine learning researchers, there has been substantial progress in machine learning in recent years, and the field could potentially have an enormous impact on the world.7 It appears possible that the coming decades will see substantial progress in artificial intelligence, potentially even to the point where machines come to outperform humans in many or nearly all intellectual domains, though it is difficult or impossible to make confident forecasts in this area. For example, recent surveys of researchers in artificial intelligence found that many researchers assigned a substantial probability to the creation of machine intelligences “that can carry out most human professions at least as well as a typical human” in 10-40 years. Following Muller and Bostrom, who organized the survey, we will refer to such machine intelligences as “high-level machine intelligences” (HLMI).8

More information about timelines for the development of advanced AI capabilities is available here.

2.2 Loss of control of advanced agents

In addition to significant benefits, creating advanced artificial intelligence could carry significant dangers. One potential danger that has received particular attention—and has been the subject of particularly detailed arguments—is the one discussed by Prof. Nick Bostrom in his 2014 book Superintelligence. Prof. Bostrom has argued that the transition from high-level machine intelligence to AI much more intelligent than humans could potentially happen very quickly,9 and could result in the creation of an extremely powerful agent whose objectives are misaligned with human interests. This scenario, he argues, could potentially lead to the extinction of humanity.10

Prof. Bostrom has offered the two following highly simplified scenarios illustrating potential risks:11

  • Riemann hypothesis catastrophe. An AI, given the final goal of evaluating the Riemann hypothesis, pursues this goal by transforming the Solar System into “computronium” (physical resources arranged in a way that is optimized for computation)— including the atoms in the bodies of whomever once cared about the answer.
  • Paperclip AI. An AI, designed to manage production in a factory, is given the final goal of maximizing the manufacture of paperclips, and proceeds by converting first the Earth and then increasingly large chunks of the observable universe into paperclips.

Stuart Russell (a Professor of Computer Science at UC Berkeley and co-author of a leading textbook on artificial intelligence) has expressed similar concerns.12 While it is unlikely that these specific scenarios would occur, they are illustrative of a general potential failure mode: an advanced agent with a seemingly innocuous, limited goal could seek out a vast quantity of physical resources—including resources crucial for humans—in order to fulfill that goal as effectively as possible.13 To be clear, the risk Bostrom and Russell are describing is not that an extremely intelligent agent would misunderstand what humans would want it to do and then do something else. Instead, the risk is that intensely pursuing the precise (but flawed) goal that the agent is programmed to pursue could pose large risks.

The above argument is difficult to briefly summarize and highly speculative, but we think it highlights plausible scenarios that seem worth considering and preparing for. Some considerations that make this argument seem relatively plausible to us, and/or point to a more general case for seeing AI as a potential source of major global catastrophic risks:

  • Over a relatively short geological timescale, humans have come to have enormous impacts on the biosphere, often leaving the welfare of other species dependent on the objectives and decisions of humans. It seems plausible that the intellectual advantages humans have over other animals have been crucial in allowing humans to build up the scientific and technological capabilities that have made this possible. If advanced artificial intelligence agents become significantly more powerful than humans, it seems possible that they could become the dominant force in the biosphere, leaving humans’ welfare dependent on their objectives and decisions. As with the interaction between humans and other species in the natural environment, these problems could be the result of competition for resources rather than malice.14
  • In comparison with other evolutionary changes, there was relatively little time between our hominid ancestors and the evolution of humans. There was therefore relatively little time for evolutionary pressure to lead to improvements in human intelligence relative to the intelligence of our hominid ancestors, suggesting that the increases in intelligence may be small on some absolute scale. Yet it seems that these increases in intelligence have meant the difference between mammals with a limited impact on the biosphere and a species that has had massive impact. In turn, this makes it seem plausible that creating intelligent agents that are more intelligent than humans could have dramatic real-world consequences even if the difference in intelligence is small in an absolute sense.15
  • Highly capable AI systems may learn from experience and run at a much faster serial processing speed than humans. This could mean that their capabilities change quickly and make them hard to manage with trial-and-error processes. This might pose novel safety challenges in very open-ended domains. Whereas it is possible to establish the safety of a bridge by relying on well-characterized engineering properties in a limited range of circumstances and tasks, it is unclear how to establish the safety of a highly capable AI agent that would operate in a wide variety of circumstances.16
  • When tasks are delegated to opaque autonomous systems—as they were in the 2010 Flash Crash—there can be unanticipated negative consequences. Jacob Steinhardt, a PhD student in computer science at Stanford University and a scientific advisor to the Open Philanthropy Project, suggested that as such systems become increasingly complex in the long term, “humans may lose the ability to meaningfully understand or intervene in such systems, which could lead to a loss of sovereignty if autonomous systems are employed in executive-level functions (e.g. government, economy).”17
  • It seems plausible that advances in artificial intelligence could eventually enable superhuman capabilities in areas like programming, strategic planning, social influence, cybersecurity, research and development, and other knowledge work. These capabilities could potentially allow an advanced artificial intelligence agent to increase its power, develop new technology, outsmart opposition, exploit existing infrastructure, or exert influence over humans.18
  • Concerns regarding the loss of control of advanced artificial intelligence agents were included among many other issues in a research priorities document linked to in the open letter discussed above,19 which was signed by highly-credentialed machine learning researchers, scientists, and technology entrepreneurs.20 Prior to the release of this open letter, potential risks from advanced artificial intelligence received limited attention from the mainstream computer science community, apart from some discussions that we found unconvincing.21 We are uncertain about the extent to which the people who signed this open letter saw themselves as supporting the idea that loss of control of advanced artificial intelligence agents is a problem worth doing research to address. To the extent that they do see themselves as actively supporting more research on this topic, we see that as reason to take the problem more seriously. To the extent that they did not, we feel that signing the letter (without public comments or disclaimers beyond what we’ve seen) indicates a general lack of engagement with this question, which we would take as—in itself—a reason to err on the side of being concerned about and investing in preparation for the risk, as it would imply that some people in a strong position to be carefully examining the issue and communicating their views may be failing to do so.
  • Our understanding is that it is not clearly possible to create an advanced artificial intelligence agent that avoids all challenges of this sort.22 In particular, our impression is that existing machine learning frameworks have made much more progress on the task of acquiring knowledge than on the task of acquiring appropriate goals/values.23

2.3 Peace, security, and privacy

It seems plausible to us that highly advanced artificial intelligence systems could potentially be weaponized or used for social control. For example:

  • In the shorter term, machine learning could potentially be used by governments to efficiently analyze vast amounts of data collected through surveillance.24
  • Cyberattacks in particular—especially if combined with the trend toward the “Internet of Things”—could potentially pose military/terrorist risks in the future.25
  • The capabilities described above—such as superhuman capabilities in areas like programming, strategic planning, social influence, cybersecurity, research and development, and other knowledge work—could be powerful tools in the hands of governments or other organizations. For example, an advanced AI system might significantly enhance or even automate the management and strategy of a country’s military operations, with strategic implications different from the possibilities associated with autonomous weapons. If one nation anticipates such advances on the part of another, it could potentially destabilize geopolitics, including nuclear deterrence relationships. Our scientific advisor Dario Amodei suggested to us that this may be one of the most understudied and serious risks of advanced AI, though also potentially among the most challenging to address.

Our understanding is that this class of scenarios has not been a major focus for the organizations that have been most active in this space, such as the Machine Intelligence Research Institute (MIRI) and the Future of Humanity Institute (FHI), and there seems to have been less analysis and debate regarding them, but risks of this kind seem potentially as important as the risks related to loss of control.26

2.4 Other potential concerns

There are a number of other possible concerns related to advanced artificial intelligence that we have not examined closely, including social issues such as technological disemployment and the legal and moral standing of advanced artificial intelligence agents. We may investigate these and other possible issues more deeply in the future.

2.5 Uncertainty about these risks

We regard many aspects of these potential risks as highly uncertain. For example:

  • It seems highly uncertain when high-level machine intelligence might be developed.
  • Losing control of an advanced agent would seem to require an extremely broad-scope artificial intelligence, considering a wide space of possible actions and reasoning about a wide space of different domains. A “narrower” artificial intelligence might, for example, simply analyze scientific papers and propose further experiments, without having intelligence in other domains such as strategic planning, social influence, cybersecurity, etc. Narrower artificial intelligence might change the world significantly, to the point where the nature of the risks change dramatically from the current picture, before fully general artificial intelligence is ever developed.
  • Losing control of an advanced agent would also seem to require that advanced artificial intelligence will function as an agent: identifying actions, using a world model to estimate their likely consequences, using a scoring system (such as a utility function) to score actions as a function of their likely consequences, and selecting high- or highest-scoring actions. While it seems plausible that such agents will eventually be created, it also seems plausible that the creation of such agents could come after other artificial intelligence tools—which do not rely on an agent-based architecture—have been created. Elsewhere, Holden Karnofsky (co-founder of GiveWell) has argued that creating advanced non-agents before agents is plausible and could substantially change the strategic situation for those preparing for risks from advanced artificial intelligence.27
  • It isn’t a given that superior intelligence, coupled with a problematic goal, would lead to domination of the biosphere. It’s possible (though it seems unlikely to us) that there are limited benefits to having substantially more intelligence than humans, and it’s possible that an artificial intelligence would maximize a problematic utility function primarily via degenerate behavior (e.g., hacking itself and manually setting its reward function to the maximum) rather than behaving in a way that could pose a global catastrophic risk.
  • It seems highly uncertain to us how quickly advanced artificial intelligence will progress from subhuman to superhuman intelligence. For example, it took decades for chess algorithms to progress from being competitive with the top few tens of thousands of players to being better than any human.28

At the same time, these risks seem plausible to us, and we believe the extreme uncertainty about the situation—when combined with plausibility and extremely large potential stakes—favors preparing for potential risks.

We have made fairly extensive attempts to look for people making sophisticated arguments that the risks aren’t worth preparing for (which is distinct from saying that they won’t necessarily materialize), including reaching out to senior computer scientists working in AI-relevant fields (not all notes are public, but we provide the ones that are) and attending a conference specifically on the topic.29 We feel that the Edge.org online discussion responding to Superintelligence30 is broadly representative of the arguments we’ve seen against the idea that risks from artificial intelligence are important, and we find those arguments largely unconvincing. We invite interested readers to review those arguments in light of the reasoning laid out on this page, and draw their own conclusions about whether the former provide strong counter-considerations to the latter. We agree with Stuart Russell’s assessment that many of these critiques do not engage the most compelling arguments (e.g. by discussing scenarios involving conscious AI systems driven by negative emotions instead of scenarios where an advanced AI system causes harm by faithfully pursuing a badly specified objective).31 For a more comprehensive discussion of these and other critiques, see a collection of objections and replies created by Luke Muehlhauser, the former Executive Director of MIRI. Luke is a GiveWell research analyst, but he did not produce this collection as part of his work for us. We agree with much of Luke’s analysis, but we have not closely examined it and do not necessarily agree with all of it.32


3. What are possible interventions?

3.1 Potential research agendas we are aware of

Many prominent33 researchers in machine learning and other fields recently signed an open letter recommending “expanded research aimed at ensuring that increasingly capable AI systems are robust and beneficial,” and listing many possible areas of research for this purpose.34 The Future of Life Institute recently issued a request for proposals on this topic, listing possible research topics including:35

  • Computer Science:
    • Verification: how to prove that a system satisfies certain desired formal properties. (“Did I build the system right?”)
    • Validity: how to ensure that a system that meets its formal requirements does not have unwanted behaviors and consequences. (“Did I build the right system?”)
    • Security: how to prevent intentional manipulation by unauthorized parties.
    • Control: how to enable meaningful human control over an AI system after it begins to operate.
  • Law and ethics:
    • How should the law handle liability for autonomous systems? Must some autonomous systems remain under meaningful human control?
    • Should some categories of autonomous weapons be banned?
    • Machine ethics: How should an autonomous vehicle trade off, say, a small probability of injury to a human against the near-certainty of a large material cost? Should such trade-offs be the subject of national standards?
    • To what extent can/should privacy be safeguarded as AI gets better at interpreting the data obtained from surveillance cameras, phone lines, emails, shopping habits, etc.?
  • Economics:
    • Labor market forecasting
    • Labor market policy
    • How can a low-employment society flourish?
  • Education and outreach:
    • Summer/winter schools on AI and its relation to society, targeted at AI graduate students and postdocs
    • Non-technical mini-schools/symposia on AI targeted at journalists, policymakers, philanthropists and other opinion leaders.

FLI also requested proposals for centers focused an AI policy, which could address questions such as:36

  • What is the space of AI policies worth studying? Possible dimensions include implementation level (global, national, organizational, etc.), strictness (mandatory regulations, industry guidelines, etc.) and type (policies/monitoring focused on software, hardware, projects, individuals, etc.)
  • Which criteria should be used to determine the merits of a policy? Candidates include verifiability of compliance, enforceability, ability to reduce risk, ability to avoid stifling desirable technology development, adoptability, and ability to adapt over time to changing circumstances to prevent intentional manipulation by unauthorized parties.
  • Which policies are best when evaluated against these criteria of merit? Addressing this question (which is anticipated to involve the lion’s share of the proposed work) would include detailed forecasting of how AI development will unfold under different policy options.

This agenda is very broad, and open to multiple possible interpretations.

Research agendas have also been proposed by the Machine Intelligence Research Institute (MIRI) and Stanford One Hundred Year Study on Artificial Intelligence (AI100). MIRI’s research tends to involve more mathematics, formal logic, and formal philosophy than much work in machine learning.37

Some specific research areas highlighted by our scientific advisors Dario Amodei and Jacob Steinhardt include:

  1. Improving the ability of algorithms to learn values, goal systems, and utility functions, rather than requiring them to be hand-coded. Work on inverse reinforcement learning and weakly supervised learning could potentially contribute to this goal.
  2. Improving the calibration of machine learning systems, i.e., their ability to accurately distinguish between predictions that are highly likely to be right vs. predictions that are based on potentially confusing data and could be dramatically wrong.
  3. Making decisions/conclusions made by machine learning systems easier for humans to understand.
  4. Making the performance of machine learning systems more robust to changes in context.
  5. Improving the user interfaces of machine learning systems.

Sustained progress in these areas could potentially reduce risks from unintended consequences—including loss of control—of future artificial intelligence systems.38

3.2 Is it possible to make progress in this area today?

It seems hard to know in advance whether work on the problems described here will ultimately reduce risks posed by advanced artificial intelligence. At this point, we feel the case comes down to the following:

  • Currently, work in this field receives very little attention from researchers dedicated to addressing the issues we have described (see “Who else is working on this?”), and very little of this attention has come from researchers with substantial expertise in machine learning.
  • However, as mentioned above, many researchers in machine learning have recommended expanded research in this field. Moreover, FLI has received over 300 grant applications, requesting a total of nearly $100 million for research in this area.39.
  • It’s intuitively plausible to us (and to our main advisors on the topic at this time, Dario Amodei and Jacob Steinhardt) that success on some items on the above research agendas could result in decreased risk.

Because the largest potential risks are probably still at least couple of decades away, a substantial risk of working in this area is that, regardless of what we do today, the most important work will be done by others when the risks become more imminent and comprehensible, making early efforts to prepare for the problem redundant or comparably inefficient. At the same time, it seems possible that some risks could come on a faster timeline. For example, many researchers in Bostrom’s survey described above assigned a 10% subjective probability to the creation of machine intelligences “that can carry out most human professions at least as well as a typical human” within 10 years.40 We have not vetted these judgments and believe it would be challenging to do so. We are highly uncertain about how much weight to put on the specific details of these judgments, but they suggest to us that very powerful artificial intelligence systems could exist relatively soon. Moreover, it may be important to have a mature safety-oriented research effort underway years or longer before advanced artificial intelligence (including advanced narrow artificial intelligence) is created, and nurturing that research effort could be a long-term project. Alternatively, even if advanced AI will not be created for decades, it’s possible that building up and shaping the field could have consequences decades later. So it seems possible that work today could potentially increase overall levels of preparation for advanced artificial intelligence.41

Finally, much of the research relevant to long-term problems may overlap with short-term problems, such as the role of artificial intelligence in surveillance, autonomous weapons systems, and unemployment. Even if work done in this field today does not affect very long-term outcomes with artificial intelligence, it could potentially affect these issues in the shorter term.42

3.3 Could supporting this field lead to unwarranted or premature regulation?

Our opinion is that the potential risks and policy options in this field are currently poorly understood, and advocating for regulation would be premature. A potential risk of working in this field is that it could cause unwarranted or premature regulation to occur, which could be counterproductive. While supporting work in this space could potentially have that result, we would guess that working in this field would be more likely to reduce the risk of premature or unwarranted regulation for the following reasons:

  • We would guess that more thoughtful attention to policy options would reduce the risk of unwarranted regulation, and make regulation more likely to occur only if it turns out to be needed.
  • The field may eventually be regulated regardless of whether funders pay additional attention to it, and additional attention to this set of issues could potentially make the regulation more likely to be thoughtful and effective.
  • We would guess that technical research (in contrast with social science, policy, law, and ethics research) on these issues would be particularly unlikely to increase regulation. While such work could potentially draw attention to potential safety issues and thereby make regulation more likely, it seems more plausible that if computer science researchers were perceived to pay greater attention to the relevant potential risks, this would decrease the perceived need for regulation.

4. Who else is working on this?

4.1 Funders

In 2015, Elon Musk announced a $10 million donation to support “a global research program aimed at keeping AI beneficial to humanity.” The program is being administered by the Future of Life Institute, a non-profit research institute in Boston led by MIT professor Max Tegmark.43 FLI issued a first call for proposals from researchers at the beginning of the year; we have a forthcoming write-up that further discusses this work. The sort of research they are funding is described above (see “What are the possible interventions?).

4.2 Organizations working in this space

A few small non-profit/academic institutes work on risks from artificial intelligence, including:

ORGANIZATION MISSION REVENUE OR BUDGET FIGURE
Cambridge Center for the Study of Existential Risk “CSER is a multidisciplinary research centre dedicated to the study and mitigation of risks that could lead to human extinction.”44 Not available, new organization
Future of Humanity Institute “The Future of Humanity Institute is a leading research centre looking at big-picture questions for human civilization. The last few centuries have seen tremendous change, and this century might transform the human condition in even more fundamental ways. Using the tools of mathematics, philosophy, and science, we explore the risks and opportunities that will arise from technological change, weigh ethical dilemmas, and evaluate global priorities. Our goal is to clarify the choices that will shape humanity’s long-term future.”45 About $1 million annual budget for 201346
Future of Life Institute “We are a volunteer-run research and outreach organization working to mitigate existential risks facing humanity. We are currently focusing on potential risks from the development of human-level artificial intelligence.”47 Not available, new organization
Machine Intelligence Research Institute “We do foundational mathematical research to ensure smarter-than-human artificial intelligence has a positive impact.”48 $1,237,557 in revenue for 201449
One Hundred Year Study on Artificial Intelligence (AI100) “Stanford University has invited leading thinkers from several institutions to begin a 100-year effort to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play.”50 Not available, new organization

CSER, FHI, and FLI work on existential risks to humanity in general, but all are significantly interested in risks from artificial intelligence.51


5. Questions for further investigation

Amongst other topics, our further research on this cause might address:

  • Is it possible to get a better sense of how imminent advanced artificial intelligence is likely to be and the specifics of what risks it might pose?
  • What kinds of technical research are most important for reducing the risk of unexpected/undesirable outcomes from progress in artificial intelligence? Who are the best people to do this research?
  • What could be done—especially in terms of policy research or advocacy—to reduce risks from the weaponization/misuse of artificial intelligence?
  • Could a philanthropist help relevant fields develop by supporting PhD, postdoctoral, and/or fellowship programs? What would be the best form for such efforts to take?
  • To what extent could approaches and funding models for other fields—such as international peace and security or nuclear weapons policy—successfully be adapted to the risks posed by artificial intelligence?
  • What is the comparative size of the risk from intentional misuse of artificial intelligence (e.g. through weaponization) vs. loss of control of an advanced artificial intelligence agent with misaligned values?

6. Sources

DOCUMENT SOURCE
AI 100 About Page Source (archive)
AI 100 Reflections and Framing Source (archive)
Bostrom 2014 Source
CSER about page, 2015 Source (archive)
FHI about page, 2015 Source (archive)
FLI about page, 2015 Source (archive)
FLI blog, AI grant results, 2015 Source (archive)
FLI conference page, 2015 Source (archive)
FLI International Grants Competition, 2015 Source (archive)
FLI Musk donation announcement, 2015 Source (archive)
FLI Open Letter, 2015 Source (archive)
FLI research priorities document, 2015 Source (archive)
FLI survey of research questions, 2015 Source (archive)
GiveWell’s conversations with Jaan Tallinn, 2011 Source (archive)
GiveWell’s non-verbatim summary of a conversation with Jasen Murray and others from the Singularity Institute for Artificial Intelligence, February 2011 Source
GiveWell’s non-verbatim summary of a conversation with Stuart Russell, February 28, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Tom Dietterich, April 28, 2014 Source
GiveWell’s non-verbatim summary of a conversation with Tom Mitchell, February 19, 2014 Source
Grace 2015 Source (archive)
Holden Karnofsky, Thoughts on the Singularity Institute, 2012 Source (archive)
MIRI blog, 2014 in review Source (archive)
MIRI Existential Risk Strategy Conversation with Holden Karnofsky, 2014 Source (archive)
MIRI home page, 2015 Source (archive)
MIRI Research Agenda, 2015 Source (archive)
MIRI strategy conversation with Steinhardt, Karnofsky, and Amodei, 2013 Source (archive)
Muehlhauser objections and replies 2015 Source (archive)
Muller and Bostrom 2014 Source (archive)
Nick Beckstead’s non-verbatim summary of a conversation with Sean O hEigeartaigh, April 24, 2014 Source (archive)
Steinhardt 2015 Source (archive)
The Myth of AI Source (archive)
Wait But Why on AI, Part 1 Source (archive)
Wait But Why on AI, Part 2 Source (archive)
Yudkowsky 2013 Source (archive)

Geomagnetic Storms

This is a writeup of a shallow investigation, a brief look at an area that we use to decide how to prioritize further research.


In a nutshell

What is the problem?

A severe solar storm might have the potential to shut down power grids on a continental scale for months.

Who is already working on it?

Power companies, transformer makers, insurers, and governments all have an interest in protecting the grid from geomagnetic storms. As far as we know, there is little philanthropic involvement in this issue.

What could a new philanthropist do?

The grid can be protected through hardening and through the installation of ground-induced current blocking devices that would prevent the currents generated by a geomagnetic storm from flowing through the grid. A philanthropist could fund further research on the threat posed by geomagnetic storms or on mitigation possibilities, fund advocacy for dealing with the threat, or directly fund mitigation.


1. What is the problem?

Eruptions from the sun bombard the earth with energetic matter, called coronal mass ejections (CMEs). CMEs damage satellites and, by temporarily disrupting Earth’s magnetic field, can disrupt the operation of power grids.

In extreme cases, roughly once per decade, CMEs reach Earth within 24 hours.1 Whether a CME hits Earth depends on its direction and angular width. In July 2012, for instance, a powerful CME with an estimated angular width of 160° missed Earth because it launched during a week when its source region on the sun faced away from Earth.2 When a CME hits the earth, it can damage satellites, including ones critical for communication and navigation.3 It may also induce turbulence in the magnetic field on the planet’s surface, which in turn can generate abnormal currents in long-distance power lines.4 The intensity of these effects depends on the speed and magnetic strength and orientation of a CME.5

In March 1989, a major geomagnetic storm destabilized the grid in Québec enough to force it to shut down within minutes.6 This damaged equipment, including two major transformers, and blacked out most of the province. 83% of power was restored within nine hours.7 After, the Canadian government invested $1.2 billion in equipment upgrades intended to make the Québec grid more robust to storms.8

In 1859, a storm approximately twice as powerful as the 1989 one occurred, though it caused no major damage because there was little electrical infrastructure at the time.9

According to John Kappenman, a consultant who works on geomagnetic storms, a 1 in 100-200 years worst-case geomagnetic storm could destroy large transformers throughout the world and cause a global power outage that would take years to fix. The knock-on effects for other infrastructure–hospitals, police, pipelines, food delivery—could cause a humanitarian disaster.10 Other estimates appear to be substantially less aggressive: the North American Electric Reliability Corporation, a power industry group, reported that only older transformers would be likely to be damaged in a severe geomagnetic storm, and the US Department of Homeland Security noted that Kappenman was the only source of more extreme estimates of damages from geomagnetic storms.11 A 2011 report for the OECD concluded that the threat from geomagnetic storms is not well understood.12

Besides the risk to the power grid, geomagnetic storms also threaten satellites and aviation.13

At the completion of this shallow review in May 2014, we did not feel that we had a good understanding of the degree of risk from geomagnetic storms, though we guessed, with low confidence, that Kappenman’s 1 in 100-200 year figure for a globally devastating storm is likely to overstate the degree of risk. The deep dive has made us more confident in this estimate.14 Nevertheless, the historical record from which to infer probabilities is short, and the responses of electric grids to storms are not well studied. Given the high humanitarian stakes, we believe the threat may well offer opportunities for philanthropy.

A high-altitude detonation of a single nuclear weapon, known as an electromagnetic pulse (EMP) attack, could cause similar effects as for a geomagnetic storm over an area the size of the continental US.15


2. Who is already working on it?

Power companies, state and federal governments, and insurance companies all have a stake in responding to geomagnetic storms:

  • Power companies presumably want to protect their infrastructure from damage.16 We have not investigated the extent to which power companies have responded to geomagnetic storm risks.
  • Insurance companies might be able to pressure power companies to protect their assets from geomagnetic storms by promising lower premiums for those who take this step.17 Insurance companies appear to be considering how to incorporate geomagnetic storms into their risk models.18
  • The US federal government has been concerned by the risk of electromagnetic pulse attack (which would cause similar damage and require similar mitigation strategies to a geomagnetic storm) since the Cold War, although its commitment to mitigating the damage from such an attack may have lessened since then.19The SHIELD Act, which would require power companies to mitigate the threat from geomagnetic storms, has been introduced in the House but, as of July 2013, had not been voted on by either chamber.20
  • The Federal Energy Regulatory Commission (FERC) is charged with enforcing geomagnetic storm-related regulations on the power industry. FERC works with an industry group, the North American Electric Reliability Corporation (NERC) to devise standards, which FERC can then either accept or remand to NERC for revision. As of May 2015, NERC had issued a detailed draft reliability standard relating to geomagnetic disturbances, for a 60-day period of public comment.21
  • To our knowledge, Maine is the only state to have passed a law requiring power installations to be robust to EMPs and geomagnetic storms.22

A small number of advocates like Kappenman currently try to persuade NERC and the government to do more about the threat from geomagnetic storms, but as far as we know, there is very little philanthropic involvement in this issue.23


3. What could a new philanthropist do?

A philanthropist could potentially pursue a number of different approaches aiming to reduce risks from geomagnetic storms:24

  • further research on the risks of geomagnetic storms and potential mitigation strategies
  • advocacy for stronger geomagnetic safety standards for electric utilities, or for public funding to support mitigation efforts
  • directly funding mitigation in partnership with electric utilities.

We do not have a strong sense of the likely returns to any of these strategies, though we would guess that the research and advocacy approaches would carry higher expected returns than direct support for mitigation.

3.1 Approaches to mitigating geomagnetic storm risk

The two basic options available to protect the grid are operational mitigation and hardening. Operational mitigation entails operating the grid in such a way as to reduce the threat from geomagnetic storms.25 The most radical kind of operational mitigation would be to unplug grid components in advance of a predicted geomagnetic storm so that they are not vulnerable to the effects of the storm. This strategy is feasible because satellites can predict periods of a few days when geomagnetic storms are likely.26 However, the national grid would likely have to be shut down for several days, which would cause enormous economic damage.27

Kappenman believes that for $1 billion, the US grid could be hardened to resist the effects of geomagnetic storms with ground-induced current (GIC) blockers.28 However, GIC blocking devices may turn out to be more expensive than Kappenman estimates, and a more diversified hardening strategy might be necessary to protect the grid.29

It is possible to undertake some operational mitigation and hardening for satellites, though both approaches face challenges.30

 


4. Questions for further investigation

Our research in this area has yet to answer many important questions.

Amongst other topics, our further research on this cause might address:

  • How much attention do national governments (including the U.S.) pay to the threat of geomagnetic storms and EMP attack?
  • How do power companies currently respond to the threat posed by geomagnetic storms?
  • How likely is further research to pay off in better estimates of the likely damage from severe geomagnetic storms and in better mitigation strategies? Are better estimates already available from experts we did not contact?
  • How significant is the risk of an EMP attack?

5. Our Process

We initially decided to investigate geomagnetic storms because we thought that damage to the power grid from geomagnetic storms might be a serious risk that is relatively easy to quantify and interventions to mitigate the risk might be relatively tractable.

The investigation that went into this shallow review has been very limited, consisting primarily of review of risk assessments by government agencies and other actors and a conversation with John Kappenman, the owner of Storm Analysis Consultants.

In late 2014, we commissioned a “deep dive” investigation. The report focuses on assessing the probability of an extreme storm, with shallower coverage of the impacts on grids and no discussion of options for limiting them. Previous version of this page here.


6. Sources

Kappenman Comments Before the FERC – Source

Kappenman 2010 – Source

Lloyd’s 2013 – Source

NRC 2008 – Source

NERC 1990 – Source

Notes from a conversation with John Kappenman, 8/6/2013 – Source

Odenwald 2000 – Source

Roodman 2015 – Source

Severe Space Weather Events 2008 – Source

Siscoe, Crooker, and Clauer 2006 – Source

World Data Center for Geomagnetism – Source

Wales 2012 – Source

 

DOCUMENT SOURCE
Baker et al. 2013 Source
CENTRA 2011 Source
Cliver and Svalgaard 2004 Source
DHS Office of Risk Management and Analysis 2011 Source
FERC 2015 Source
Foster et al. 2004 Source
Geomagnetic Disturbance Task Force 2012 Source
Gopalswamy 2006 Source
Kappenman 2005 Source
Kappenman 2006 Source
Kappenman Comments Before the FERC Source
Kappenman 2010 Source
Lloyd’s 2013 Source
NRC 2008 Source
NERC 1990 Source
Notes from a conversation with John Kappenman, 8/6/2013 Source
Odenwald 2000 Source
Roodman 2015 Source
Severe Space Weather Events 2008 Source
Siscoe, Crooker, and Clauer 2006 Source
World Data Center for Geomagnetism Source
Wales 2012 Source