Further understanding the Horn of Africa Famine

We continue to scramble here – believe me, we are scrambling – the sheer volume of work taking place is staggering.  In the meantime, please understand that as bad as things are at the moment, the relief effort MUST be done right because a) things are about to get much worse and b) they will stay worse, at least until December.  We are trying not to sacrifice productive efforts to address the next 3-5 months in this region.  To illustrate, two maps.  The first is a map of current conditions:

As you can see, the two affected areas in southern Somalia (the Bakool agropastoral livelihood zones and all areas of Lower Shabelle) are highlighted.  These are currently the only places where we have hit levels of suffering high enough to be labeled famine.  Everywhere labeled “emergency” is pretty dire, but not a famine.  Unfortunately, this situation has acquired momentum – as FEWS-NET summarizes:

The total failure of the October-December Deyr rains (secondary season) and the poor performance of the April-June Gu rains (primary season) have resulted in crop failure, reduced labor demand, poor livestock body conditions, and excess animal mortality.  The resulting decline in cereal availability and ongoing trade restrictions have subsequently pushed local cereal prices to record levels and substantially reduced household purchasing power in all livelihood zones.

In other words, there is little local food available, no real jobs to earn money to buy imported food, and the livestock are dying, meaning livestock owners cannot sell them off for food (and they are not so great for eating once they get emaciated enough to die).  This means that the resources people normally use to address challenges such as we are seeing in Somalia right now are being drawn down very, very rapidly – they are running out of things to sell, and therefore things to eat.  On top of all of this, we cannot get in to these areas with our aid – so we cannot do anything, at the moment, to stop this backslide.  The result is reflected in this map:

This reflects FEWS-NET’s projections for the outcomes of this backslide in August/September.  As you can see, all of southern Somalia will soon fall into famine conditions.  If we cannot get in there before then, our interventions will not be as effective as they could be . . . it is much easier to fight a small fire than to put out a burning house.
An interesting thing to note from these maps (I will post on this at length soon) – they show the importance of development.  Where we could do development work (Ethiopia and Kenya), we do not have famine.  Yes, things are dire, but nowhere near as dire as in Somalia, where we have not been able to work for two decades.  The fact that things are dire in Kenya and Ethiopia means that development doesn’t work well enough . . . but it does work, at least a little.



Finally saying Famine

As of 10am Nairobi time today, the United States Government, along with the UN, is acknowledging the presence of famine in southern Somalia.  This is the first declaration of famine in twenty-odd years, reflecting the fairly high bar for human suffering that has to be crossed before an official declaration can be made.

The declaration is complex.  The full text of the Famine Early Warning System Network (FEWS-NET) statement is here.  But to summarize:

  • a famine is currently ongoing in two areas of southern Somalia: the Bakool agropastoral livelihood zones and all areas of Lower Shabelle
  • A humanitarian emergency currently exists across all other regions of the south, and current humanitarian response is inadequate to meet emergency needs. As a result, famine is expected to spread across all regions of the south in the coming 1‐2 months
  • FEWS-NET estimates 3.7 million people are in crisis nationwide; among these 3.2 million people need immediate, lifesaving assistance (2.8 million in the south).
  • FEWS-NET projections suggest that assistance needs will remain extremely high through at least December 2011

I think it is important to review what the currently understood conditions on the ground are right now:

  • The crude death rate (simple measure of the number of deaths) has surpassed 2/10,000/day in two areas (Bakool agropastoral, and all of Lower Shabelle).
  • The under 5 death rate has surpassed 4/10,000/day in all areas of the south where data is available, peaking at 20/10,000/day in Riverine areas of Lower Shabelle.  These numbers are horrific.
  • The prevalence of global acute malnutrition (GAM) exceeds 38 percent in 9 of the 11 areas where recent survey data is available – we consider 15% to be an emergency threshold.  Severe acute malnutrition (SAM) exceeds 14 percent in these areas – and the emergency threshold here is 2-4%.

The projections going forward are not pretty.  If, as FEWS-NET projects, we have famine conditions in play across all of Southern Somalia, historical death rates suggest we could be talking about mortality rates somewhere in the range of 2500 deaths a day at some point in August (though this is a high estimate, and a minimum number would be more in line with 700 deaths a day).  I have no idea what percentage of these deaths will be children, but given the extremely elevated under-5 death rates (2X to 10X the global crude death rate), we can assume that the answer is “a hell of a lot.”
The causes of the famine are complex, and FEWS NET reviews them in the link above.

We are trying – and we are all frustrated at how slowly our response is moving.  FEWS-NET’s efforts have been herculean, from data collection (see the picture below) to the organization of reports and data – I am seeing emails from these guys at 3am.  I was impressed with them before I got here.  I am even more impressed with them now.  FEWS is just one part of the equation, though. There are a lot of people who are not sleeping right now, and even more who have dropped everything else they are doing to support this effort. We are trying.

Measuring arm circumference for a nutrition survey in Southern Somalia, July 2011

Please follow developments at FEWS-NET’s site for this emergency here.  There is no better resource on this anywhere.



A quick thought on politics, political structures and climate change

The Economist ran an article on Australia’s newest efforts to green their economy, this time by instituting a carbon tax.  The Economist has its own ideas about this, as do many other people.  Indeed, there are serious debates, even among those who think that climate change is real and human-caused, about whether market-based or carbon-tax-based solutions are best (or some other completely different alternative might be useful).  I’m not wading into all that here. Instead, I want to make an observation about politics, political structures and how we address climate change.
Australia is a democracy, but its elections work quite differently than ours do here in the US.  From the Australian Government’s Webpage:

Australia does not use the ‘first-past-the-post’ voting system (where a candidate can be elected with less than 50 per cent of the total vote). Preferential voting is used for elections to the House of Representatives. Australians must put a number against each candidate’s name in order of preference. First, all the number ‘1’ votes are counted for each candidate. If a candidate gets more than 50 per cent (an absolute majority, 50 per cent plus one) of the formal first preference votes, then they are immediately elected. If no candidate has an absolute majority, the candidate with the fewest votes is excluded. These votes are then transferred to the other candidates according to the second preferences shown by voters on the ballot papers. If still no candidate has an absolute majority, again the remaining candidate with the fewest votes is excluded and these votes are transferred. This process will continue until one candidate has more than half the total votes cast and is declared ‘elected’. This voting system has been used in Australian federal elections since 1918.

To help supporters order their preferences, political parties hand out ‘how-to-vote’ cards at polling booths. The preferences that flow from less popular candidates often decide who wins. Distributing preferences can take days or even weeks.

Proportional representation is used in the Senate. Candidates must receive a quota of the voters in state-wide, multiple-seat electorates. Preferences are also used in Senate voting. The Senate currently has 76 members, 12 from each state and two each from the two mainland territories. The House of Representatives currently has 150 members.

In a nutshell, what this all means is that Australia cannot be dominated by two parties – lots of parties end up getting people elected to both houses, which often forces the parties with large pluralities (but not majorities) to form coalitions with other parties to build a majority, and therefore the right to run the government.  So it is right now – where the Labor party was forced into a coalition with the Greens.  As a condition of their joining the coalition, the Greens extracted a promise to develop a climate plan . . . right after a failed climate plan brought down the previous prime minister.  If Labor was governing by itself, do you think they would be working on climate again?  Of course not – the new Prime Minister “promised not to introduce a carbon tax” during her campaign.
This is sort of a perverse mirror-image of the United States.  In Australia, you have a party that probably wants nothing to do with climate change legislation being forced into a serious effort by the structure of their government.  In the United States, the structure of our elections and government pretty much rewards nobody for working together and building coalitions, with the result a highly polarized government that can’t get easy, obvious things (like raising the debt ceiling) done, let alone address climate change.
Political structures matter, people – and there is nothing written in stone that says we can only have two parties, or that we should only have two parties.  However, most people don’t realize there are ways to make small changes that could bring about big shifts in how we do business.  Mickey Edwards (who spoke to my incoming class of AAAS Fellows back in September 2010, and was fantastic for his candor) has an interesting piece in the Atlantic on some of these changes.  The most interesting of these, to me, was:

In 2010, Californians voted to create an “open primary” system in which every candidate for a particular office, regardless of party, will appear on the same ballot, and every voter who wishes to participate, also regardless of party, will be able to choose among them. The top two will advance to the general election, even if they belong to the same party. Louisiana has long had a top-two, everybody-runs primary system, and Washington State adopted a similar one in 2004. Their voters have a much wider range of options—Republicans, Democrats, independents, third- or fourth-party candidates. If all candidates could get their messages out through free mailings or free television time, minor-party candidates would have a better chance of finishing in the top two in an open primary than on a general-election ballot that pits two major-party giants against each other and discourages supporters of other parties from voting for long-shot candidates.

Just the act of establishing an open primary would break the partisan and ideological chokehold on the general-election ballot and create a much truer system of democratic self-government. As a result, members of Congress would have greater freedom to base their legislative decisions on their constituents’ concerns and on their own independent evaluations of a proposal’s merits. They would be our representatives, not representatives of their political clubs.

This alone could create a serious set of alternatives to the two big (currently mostly useless) parties – and perhaps get us to a place where we need coalitions to govern . . . and can relearn the art of compromise at the heart of politics, and that we so desperately need to address the environmental and economic challenges ahead of us.



A guide to critically reading sources of climate misinformation (or, as I call it, mendacious crap)

. . . ladies and gentlemen, I give you Pat Michaels’ absurd Climate of Fear blog!  I’ve already posted on what I thought was a remarkably problematic post from this blog, and I am coming to realize that addressing the mountain of garbage that emerges from this source could become a semi-full time job, and I just don’t have that kind of time.  So, rather than work through each post (and they all need attention, as they are all rife with misdirection, internal contradictions, factual inaccuracies, and what I can only call staggering ethical lapses), I’d like to lay out a loose framework for critically reading Michaels’ entries that anyone can use.
First, look for internal contradictions: In his post “Big Science, Big Government,” Michaels subtly identifies himself as a scientist (he obviously feels the need for that legitimacy)  by saying “My lobby, the American Association for the Advancement of Science (AAAS) isn’t located in Washington, D.C., because its employees are fond of the city’s heat and humidity in the summer.” (Full disclosure – I am currently on an AAAS Science and Technology Policy Fellowship).  Obviously, he feels fine about advocacy from his position as a scientist, as he is writing opinion pieces for Forbes.com and now works for the Cato Institute.  Despite this, he sees no irony at all in arguing, in the context of a huge banner supporting AAAS advocacy for biofuels (which I have long disagreed with, incidentally), that  “The image [on the banner] was hardly neutral.  Backgrounding the corncob/gasoline pump is an image of a wild blue (i.e. pollution-free) ocean.  This was propaganda and public relations, not science.”
Well, technically he is correct – this was advocacy, no doubt.  But Pat, your blog is propaganda and PR, not science.  So why is this a problem for AAAS, but fine for you?  Either we are looking at a serious internal contradiction, or an ethical lapse around the failure to disclose his own advocacy.
Oh, and Pat, UVa is one of the “Public Ivies,” not one of the “Public Ivy’s.”
Second, look for misdirection: In “Voodoo Economics? How About Voodoo Climate Science,” Michaels actually rightly points out a number of problems with the last IPCC report (again, full disclosure – I am a review editor for the upcoming 5th Assessment Report of the IPCC).  Well, he throws a spurious temperature claim in there, but then this is par for the course on his blog.  He then constructs a stunning argumentative fallacy – he finds six errors in a report that runs several thousand pages in its entirety, argues they are all biased in the same direction, and then makes the argument that the odds of six errors in a report of this size aligning in the same direction rises to the .02 level of significance (to break out the stats).
Now, some of the errors to which he points require attention – for example, climatologists I know who focus on hurricanes and cyclones have long said that climate change would have an uncertain impact on these storms because their formation is very complex, and a lot of different factors that contribute to their formation were being altered by climate change – in other words, the uncertainty to which Michaels (rightly) points is the product of climate change.  Oopsie.  This is what we call misdirection . . .
Third, look for spurious arguments (and structures of argument): Aside from tiny internal fallacies such as I just described in the “Voodoo” post described above, the entire structure of Michaels’ argument in this post is crap.  Michaels does not address errors of understatement in the report – which, by his standards, are examples of bias in favor of his position.  For example, the Arctic Sea Ice is disappearing much faster than projected in the last report – so does this mean that the authors of that chapter are in bed with Pat Michaels and the rest of the climate denial crowd?  Er, no.  It means that this chapter was written with the best evidence at the time, and now we have better evidence.  When we start looking for errors of understatement, we find that this report was often far too conservative – and the number of cases where the estimates or interpretations were too conservative (i.e. arctic sea ice) outweigh Michaels’ pathetic six cases.  Michaels is cherrypicking the data (in this case, the data are the examples of errors in the report) to get the result he wants . . . which would get him slapped down in any scientific outlet.
Finally, look for evidence for Michaels’ real fear – that markets might not work perfectly, and that government regulation of activities that affect the environment might actually be needed to correct for the obvious market failures that are occurring around greenhouse gas emissions:  For example, look at the title of the post “Voodoo Economics? How About Voodoo Climate Science”, Michaels never actually makes reference to George H. W. Bush’s critique of Reagan’s supply-side economics – yet somehow it is in this post.  Perhaps because Michaels is defending that supply-side position against the threat of regulation and taxation?  This blog is a frequently updated proof that Oreskes and Conway were really on to something in their exploration of the anti-science movement Merchants of Doubt.  In a nutshell, they argue that people like Michaels are not motivated by real curiosity, empirical data, or scientific consensus – they are driven by a broadly neoliberal agenda that emerged in the Cold War and still sees itself as the protector of the American Way from the path of regulation and taxation that leads to Communism and other forms of totalitarianism.  Except, of course, that this is more than an argument about politics and economics – this is an argument about what to do in a changing world . . . where one group participating in the argument has its fingers in its ears and is shouting “lalalalala” as loud as it can whenever actual data appears.
So, read away – you can make a game out of identifying the misdirections, misrepresentations, internal contradictions, barely concealed neoliberal freakouts, and much more rare overt neoliberal freakouts as you go.  But look for all of these, and understand that Climate of Fear is not a source of information, it is an effort to obscure the problem in the name of a long-discredited political-economic agenda . . .



A development economics of finitude?

Just a very quick thought today.  After reading Charles Kenny’s Getting Better and skimming Owen Barder’s “Can Aid Work?“, I’m wondering if anyone else can hear the faint rumblings of something very important – here we have two people, hardly from the fringes of development thought, noting variously that 1) aid does not seem well-correlated with economic growth, and therefore a clear causal relationship is pretty hard to determine and 2) despite this, and in several cases in the absence of major economic growth, things seem to be getting better in a number of places (this second point is mostly Charles).  In other words, are we seeing arguments against a focus on economic growth in development shift from the margins to the center of development thinking?
Those of us more on the qualitative social theory fringes of the field have long been arguing that the worship of growth did not make much sense, given what we were seeing on the ground.  Further, the emergence of the anthropocene (the recent era of human dominated environmental events) as a direct outcome of more than a century of concerted efforts to spur ever-faster economic growth, calls into question the wisdom of a continued myopic focus on growth without a serious consideration of its costs and potential material limits.  So if indeed we are seeing the beginnings of a shift in policy circles,  I am thrilled.  Nothing will change tomorrow, but I think these interventions might be important touchstones for future efforts to create some sort of development economics of finitude . . .



Wait, economists get to just guess and call it explanation?

An interesting review of Paul Collier’s The Bottom Billion and Wars, Guns and Votes by Yale Anthropologist Mike McGovern has gotten a little bit of attention recently in development circles, speaking as it does to ongoing debates about the role of statistical analysis, what counts as explanation, and where qualitative research fits into all of this.  I will take up McGovern’s good (but incomplete, in my opinion) review in another post.  Here, I needed to respond to a blog entry about this review.
On the Descriptive Statistics, Causal Inference and Social Science blog, Andrew Gelman discusses McGovern’s review.  While there is a lot going on in this post, one issue caught my attention in particular.  In his review, McGovern argues that “Much of the intellectual heavy lifting in these books is in fact done at the level of implication or commonsense guessing,” what Gelman (quoting Fung) calls “story time”, the “pivot from the quantitative finding to the speculative explanation.”  However, despite the seemingly dismissive term for this sort of explanation, in his blog post Gelman argues “story time can’t be avoided.” His point:

On one hand, there are real questions to be answered and real decisions to be made in development economics (and elsewhere), and researchers and policymakers can’t simply sit still and say they can’t do anything because the data aren’t fully persuasive. (Remember the first principle of decision analysis: Not making a decision is itself a decision.)

From the other direction, once you have an interesting quantitative finding,of course you want to understand it, and it makes sense to use all your storytelling skills here. The challenge is to go back and forth between the storytelling and the data. You find some interesting result (perhaps an observational data summary, perhaps an analysis of an experiment or natural experiment), this motivates a story, which in turn suggests some new hypotheses to be studied.

Now, on one hand I take his point – research is iterative, and answering one set of questions (or one set of new data) often raises new questions which can be interrogated.  But Gelman seems to presume that explanation only comes from more statistical analysis, without considering what I saw as McGovern’s subtle point: qualitative social scientists look at explanation, and do not revert to story time to do so (good luck getting published if you do).  We spend a hell of a lot of time fleshing out the causal processes behind our observations, including establishing rigor and validity for our data and conclusions, before we present stories.  This is not to say that our explanations are immediately complete or perfect, nor is it to suggest that our explanations do not raise new questions to pursue.  However, there is no excuse for the sort of “story time” analysis that McGovern is pointing out in Collier’s work – indeed, I would suggest that is why the practice is given a clearly derisive title.  That is just guessing, vaguely informed by data, often without even thinking through alternative explanations for the patterns at hand (let alone presenting those alternatives).
I agree with Gelman’s point, late in the post – this is not a failing of statistics, really.  It is a failure to use them intelligently, or to use appropriate frameworks to interpret statistical findings.  It would be nice, however, if we could have a discussion between quant and qual on how to avoid these outcomes before they happen . . . because story time is most certainly avoidable.

Does being a middle-income country mean ANYTHING anymore?

Andy Sumner and Charles Kenny (disclosure – Andy and Charles are friends of mine, and I need to write up my review of Charles’ book Getting Better . . . in a nutshell, you should buy it) have a post on the Guardian’s Poverty Matters Blog addressing the two most recent challenges to the idea of the “poverty trap”: Ghana and Zambia’s recent elevations to middle-income status (per capita GNIs of between $1,006 and $3,975) by the World Bank.
Quick background for those less versed in development terminology: GNI (Gross National Income) is the value of all goods and services produced in a country, as well as all overseas investments and remittances (money sent home from abroad).  Per capita GNI divides this huge number by the population to get a sense of the per-person income of the country (there is a loose assumption that the value of goods and services will be paid in the form of wages).  So, loosely speaking, a per capita GNI of $1006 is roughly equivalent to $2.75/day.  Obviously $2.75 buys a lot more in rural Africa than it does basically anywhere inside the US, but this is still a pretty low bar at which to start “Middle Income.”
I do not want to engage an argument about where Middle Income should start in this post – Andy and Charles take this up near the end of their post, and nicely lay out the issues.  The important point that they are making, though, is that the idea that there are a lot of countries out there mired in situations that make an escape from food insecurity, material deprivation, absence of basic healthcare, and lack of opportunity (situations often called “poverty traps”) is being challenged by the ever-expanding pool of countries that seem to be increasing economic productivity rapidly and significantly.  The whole point of a “poverty trap”, as popularized by Paul Collier’s book on The Bottom Billion and Jeffrey Sach’s various writings, is that it cannot be escaped without substantial outside aid interventions (a la Sachs) or may not be escapable at all.  Well, Ghana certainly has received a lot of aid, but its massive growth is not the product of a new “big push”, a massive infusion of aid across sectors to get the country up into this new income category.  Turns out the poorest people in the world might not need us to come riding to their rescue, at least not in the manner that Sachs envisions in his Millennium Villages Project.
That said, I’ve told Andy that I am deeply concerned about fragility – that is, I am thrilled to see things changing in places like Ghana, but how robust are those changes?  At least in Ghana, a lot of the shift has been driven by the service sector, as opposed to recent oil finds (though these will undoubtedly swell the GNI figure in years to come) – this suggests a broader base to change in Ghana than, say, Equatorial Guinea . . . where GNI growth is all about oil, which is controlled by the country’s . . . problematic . . . leader (just read the Wikipedia post).  But even in Ghana, things like climate change could present significant future challenges.  The loss of the minor rainy season, for example, could have huge impacts on staple crop production and food security in the country, which in turn could hurt the workforce, exacerbate class/ethnic/rural-urban tensions, and generally hurt social cohesion in what is today a rather robust democracy.  Yes, things have gotten better in Ghana . . . but this is no time to assume, a la Rostow, that a largely irreversible takeoff to economic growth has occurred.  Aid and development are important and still needed in an increasingly middle-income world, but a different aid and development that supports existing indigenous efforts and consolidates development gains.
 

Willful misdirection (or, more mendacious crap)

Pat Michaels has a rather astonishing blog called Climate of Fear at Forbes.com.  Too bad for Forbes – they are providing a platform for a serious climate crank who I think is far too well-educated and smart to misunderstand the things he misrepresents in his public statements and writing.  His recent post on climate change and food security is a classic of the genre – and fits very well into the strategies that Naomi Oreskes and Erik Conway so brilliantly lay out in Merchants of Doubt (which, if you want to understand the professional climate change denial camp, you absolutely must read).  It requires debunking.  Hell, the man’s blog requires debunking, post by post.
So, what does Michaels have to say about climate change and food security?  Well, in a nutshell he doesn’t see how climate change is a problem for agriculture – indeed, he seems to suggest that climate change will do good things for agriculture.  However, a careful read of the article for what it does and does not actually say, and what evidence it draws on (mostly tangential), demonstrates that this is a piece of misdirection that, in my opinion, is criminal: insofar as it causes anyone to doubt the severity of the challenge in front of us, it will cost lives.  Lots of lives.
Michaels begins with a classic of the denial genre – he goes after a New York Times article not on its merits (indeed, he never addresses any of the article’s content), but by lumping it in with every previous warning of what he calls “environmental apocalypse.”  Except, of course, that the only call he actually cites is the now legendary “global cooling” fear of the 1970s – a fringe belief that was never embraced by the majority of scientists (no matter how hard the denial crowd wants you to believe it). That concern was based on patterns of natural cycles of heating and cooling that some felt were timed to push us back toward another ice age, but it was not the consensus view of scientists at the time.  Michaels knows this.  Either that, or he was a very, very bad graduate student, as he claims to have recieved his doctorate on the wings of “global cooling.”
Then Michaels moves to a false correlation (or non-correlation) – temperatures rose by .75 degrees C over the 20th Century (about 1.35 degrees Farenheit), but Michaels argues that since “U.S. corn yields quintupled.  Life expectancy doubled.  People got fat” clearly there is nothing to worry about.  Except, of course, that temperature/CO2 has relatively little to do with these results – biotech and improved farming techniques were much, much more important – and one could argue that these techniques and biotech have persevered in the face of conditions that might have, in many parts of the world, led to declining yields.  Hell, it is well known that the increases in per-capita food availability worldwide are not evenly distributed – According to the Food and Agriculture Organization of the United Nations (FAO), in sub-Saharan Africa there is less food per person than there was thirty years ago.  Either Michaels has a distressingly flawed understanding of correlation and no real understanding of agricultural development over the past 100 years, or he is willfully misdirecting the reader.  Either case should disqualify him from writing this article.
Besides, temperature is only one concern (it is possible that some parts of the globe will warm several degrees Celsius, pushing some current staple crops out of the temperature bands in which they can germinate) – Michaels makes no mention of precipitation, except to basically trot out the old “CO2 is plant food” argument by saying “greenhouse warming takes place more in the winter, which lengthens growing seasons. With adequate water, plants then fix and yield more carbohydrate.”  This is almost hilarious, as one of the biggest problems we face is finding adequate water. Rising atmospheric temperatures have driven changes in wind patterns and atmospheric moisture content which, in turn, have shifted rainfall patterns over the past century or more.  Today CO2 is not able to serve as plant food in many parts of the world that most need it because the very injection of more CO2 into the atmosphere is creating declines in the rain needed to make that CO2 useful to plants.  Unless Michaels is willing to argue that rainfall patterns have not shifted, and therefore is willing to ignore rain gauge data from around the world, he has just offered the reader another misleading argument.
To address these empirically-documented challenges, farmers have adopted new crops, some biotech and improved irrigation tech has helped (though in parts of sub-Saharan Africa, a region in which most agriculture is rain-fed, farmers are getting hammered by precipitation change) , but we are moving into an era where the vast bulk of work on GMOs is “defensive” – that is, trying to hold the line on yields as environmental conditions deteriorate.  This is not a recipe for continued rising yields in the future – which makes a few of his later claims really, really embarrassing – if he had shame, that is.  His claim that the continued increase in per capita grain production is going up means that climate change has had no effect is a logical fallacy – he is not factoring in how much production we have lost because of climate effects (and we are losing production – Southern Africa is one example).  His claims about rising wheat production in the future, even in a world free of wheat rust, presume either current environmental conditions will hold or that there will be significant technological advances that boost yields – but these are assumptions, not facts that can be stated with certainty.
In short, Michael’s alignment of temperature change and improving human conditions are basically unrelated . . . unless one wants to (rightly) note that many of the things that allowed us to live longer and get fatter required manufacturing processes and transport mechanisms that burned fossil fuels, thus warming the atmosphere – in other words, causality runs the other way.  We live longer and better, which is in part causing the warming of the atmosphere.  But Michaels can’t even consider that direction of causality . . .
I do agree with Michaels that using food crops for ethanol is and was stupid.  Of course, I was saying this (along with a lot of other colleagues) at author meetings of UNEP’s Fourth Global Environment Outlook in 2005.  The decision to push biofuels was political, not scientific.  Welcome to the party, Pat – we’ve already been here for a while, but there might still be some beer in the keg . . .
So, to summarize – Michaels has created a post that relies on false correlation, logical fallacy and misdirection to create the idea that climate change might not be a problem for agriculture, and that it might even be good for global production.  But he does not cite the vast bulk of the science out there – and ignores the empirical literature (not theory, not conjecture – measured changes) to create a very deceptive picture that minimizes the slowly intensifying challenges facing people living in many parts of the Global South.  I invite Dr. Michaels to look at the FEWS-NET data – not just contemporary, but historical – on the East African/Horn of Africa climate.  Empirical observation (again, measured, verified observations, not projections) tells us it is drying out* . . . and has been, for some time, massively compromising both crops and livestock, the backbone of livelihoods in Southern Ethiopia, Somalia and Northeastern Kenya.  As all hell breaks loose in that region, and the US Government considers using the term famine for the first time in a decade to describe the situation on the ground, it seems to me that Michaels’ efforts at misdirection rise beyond nuisance to a real question of ethics that Forbes would do well to consider before publishing such mendacious material again.
 
*very important note: FEWS-NET is agnostic as to the causes of the drying out – at this time, they do not care what causes it, they need to document it to better organize US Government and multilateral food aid delivery.  They would have jobs even if climate change did not exist, as the weather does vary from year to year no matter what, and therefore food insecurity would vary year by year.

If you are uncomfortable, you are probably doing it right (Part 2)

In part 1, I argued that most academics who study development and aid have a very weak understanding of the processes they critique and seek to influence . . . and the only real way to build that understanding is to engage more seriously with development agencies.  Why, then, have so few academics in the social sciences sought out such engagement – that is, why do so few academics work in development agencies as part of their training/research/practice?  I think it has something to do with an unachievable desire to alter development practice and outcomes without unsettling ourselves.  For example, many academics limit themselves to the critique of development practice to preserve some distance between themselves and the messy world of practice and policy.  However, limiting oneself to critique still invokes an ethics of engagement, for if these critiques come too late to be acted upon, or do not speak to the institutional context from which these practices spring, the end result will be writing accessible only by other academics that has little if any benefit to those with whom we work in the Global South.  This de facto extractive knowledge industry can hardly be seen as progressive, and its existence should upset us.
At the same time, holding ourselves apart from development practice out of a concern for being co-opted by (or used to legitimize) problematic political-economic agendas only makes sense if we treat development organizations as largely unchanging monoliths.  This is a terribly ironic failure for a body of critical scholarship that otherwise spends so much time identifying and celebrating difference.  Development agencies are not monoliths.  For example, within these agencies are individuals deeply concerned about the rights of those affected by new forest carbon programmes, who object to the framing of development objectives in terms of economic growth, and who lament and struggle against the historical amnesia that marks the cyclical re-emergence of problematic and failed development initiatives.  When we see development organizations as sites of contestation, unsettling questions arise.  What is the point of critically-informed scholarship if not to provide support to individuals in their struggles to reshape policy, budget and programming into something more productive?  What good will the most progressive, community-level effort come to if it can be plowed under by a single bad Country Development Cooperative Strategy (USAID) or Poverty Reduction Strategy Paper (World Bank)?  What is the point of studying development, if not to intervene?
We cannot alter development without unsettling ourselves, as development requires us to think about the ideas of change and progress, and our role in both.  I wrestle with this when I find myself arguing that the application of critical social theory to ‘development challenges’ can result in different and arguably more productive empirical understandings of events in the world (see here, here, here and here).  This struggle helps me evaluate of my own positionality, motivations and expectations for such interventions.  It is not a struggle that will come to a neat resolution.  If indeed the path of the critical development geographer is between the equally untenable poles of uncritical self-justifying judgement and self-promoting intellectual resource extraction, then it is a path that is constantly fraught with tension.  If you are unsettled, it means you are paying attention to this tension and trying to address it.  If you are uncomfortable, you are probably doing it right.

If you are uncomfortable, you are probably doing it right (Part 1)

Back in April, I participated in a session on the role of geographers (and indeed academics more broadly) in development agencies.  Though many outside of academia do not seem to know this, engagement with development agencies by those of us working in geography, anthropology and sociology tends to provoke both strong feelings and some controversy.  Given geography’s and anthropology’s historical connection to colonialism, many academics fear that engagement with these agencies risks a return to these old relationships, where the work of academics serves to legitimize or even further neocolonial efforts.  I thought the session was outstanding – the discussion was probably the most spirited I’d seen at an AAG, but it never degenerated into name-calling or other unproductive behavior.
Due to the success of and interest in the session, the participants in my panel decided to put together a forum of brief position pieces to be published in the Transactions of the Institute of British Geographers, hopefully later this year (screaming fast by academic standards).  In my short piece, I took up the argument that we should be engaging with agencies more (probably not that surprising, considering where I work these days) – a position I supported in a distressingly well-read email exchange on a few big listservs this past fall (see a related blog post here).  Before I submitted it, I had to get it cleared by Legislative and Public Affairs (LPA), which led to several people reading it.  It was cleared without comment, which I believe only serves to support Bill Easterly’s claim (made in the context of the World Bank) that nobody really cares what we write in the academic journals, because they don’t think anyone reads them.
Along the way, though, my office director read it.  Or, more to the point, he read it three times, because, as he put it, it was “impenetrable.”  He did not say this dismissively, but instead to point out that the jargon in which I engaged in the piece (and I fully admit that my piece is very, very jargon-laden) made it nearly impossible to follow for the non-academic.  To his credit, he read it three times to get my point . . . how many people do you know who are willing to do that?
So, in the spirit of his intervention, I offer a translation of my piece, in two parts.  This is part 1.
Engagement with international development is fraught with tension.  On one side lies a belief in improvement that carries with it judgment of the lives of others.  At its worst, this judgment can become a justification for the lifestyles and foreign policy of “the developed” by placing both at the top of a pyramid of human progress to which everyone should aspire.  On the other side is the peril of an extractive intellectual industry.  When academic research and writing on development has no impact on policy and practice, it serves only to further the career of the researcher who gains from those s/he researches.  It is not possible for an academic to engage development and remain unsullied by one, the other, or both.  I see the job of the academic in development as walking between these extremes, balancing the risks of each. Therefore it is incumbent upon each of us to evaluate critically the path we walk between them.
It is very difficult for the contemporary academic to make such a critical evaluation.  Critical development studies are often based upon a surprisingly thin understanding of the object of research.  I can count on the fingers of one hand the development geographers who have worked in a development agency (receiving a contract from a development agency as a consultant or subcontractor does not count, as in that case one is only seeing the end product of a long process of policy building, budgeting, programming and contracting). Yet without an understanding of mundane bureaucratic moments such as budgeting, contracting and monitoring and evaluation it is simply impossible to understand why agencies do what they do, or reliably to identify points of intervention that might change practice in the world.
Though it was a book that brought me to critical development studies, Ferguson’s The Anti-Politics Machine is exemplary of this problem.  Ferguson’s analysis of the Canadian International Development Agency’s (CIDA) Thaba-Tseka project is constrained largely to the reports and field programmes that are the outputs of this complex process.  There is no doubt that he is correct about the ways in which CIDA’s representation of Lesotho and its challenges bore little resemblance to events on the ground.  However, without a link to the institutional practices and structures that are inextricably bound up with these (mis)representations, Ferguson’s explanation for development failure comes to rest on a vague sense that language/representations (largely reflected in documents related to development projects and agencies) shape action.  But this language, and these representations, are produced and reproduced in the often-byzantine interplay of policy, budget, programme and contracting that currently happens outside the scope of analysis for the bulk of academics.  Pointing out the problematic character of CIDA’s representations of Lesotho is not in itself a productive intervention – we must know when this construction was put into play, by whom, and to what end.  This information cannot be inferred from an organizational chart or a history of organizational actions.  Instead, it requires ethnographic attention in its own right.
A very large proportion of critical development studies rests on this sort of incomplete analysis, resulting in critiques and questions that often have limited relevance to the experience of development practice.  The mismatch of the products of such analysis with the experiences of those who occupy positions in development institutions is a source of the widening gulf between academic studies of development and the work of the development agencies we criticize and seek to influence.  This suggests that productive critical interventions require greater direct engagement with development agencies.
Next up, Part 2: Why does this failure of understanding prevent serious engagement?