Abstract
Dear Steven, I’m writing to respond to a letter you posted regarding claims I made in the Guardian about the global poverty narrative. I’m addressing you directly because I think it’s preferable to engaging in back-channel debates, and because I’d like to invite you to respond to what follows. This is an important question and it demands serious, honest engagement. The point of my piece was that the story of global poverty is more complex than you and Gates have been willing to acknowledge, and the data do not support your narrative about neoliberal globalization. Let me elaborate on my key points here, to clear up any confusion, while also addressing your specific comments. First, the long-term poverty graph (1820-present) developed by Max Roser and recently tweeted by Bill Gates is misleading and has little empirical legitimacy. There are a few reasons for this. Real data on poverty has only been collected since 1981, by the World Bank. It is widely accepted among those who research global poverty that any data prior to 1981 is simply too sketchy to be useful, and going back to as early as 1820 is more or less meaningless. The data for 1820-1970 comes from a source (Bourguignon and Morrisson 2002) that draws on the Maddison database on world GDP. That data was never intended to assess poverty, but rather the distribution of global GDP – and that for only a limited range of countries. We might try to speculate about the share of GDP that the poorest people had, but that’s very different from telling us anything very useful about poverty. It is important to recognise that the graph mixes two very different measures. The measure for 1820-1970 is purely income-based. In other words, it excludes the non-monetary goods and resources that people may have acquired from their land, from trees, from forests, from rivers and the sea, and in the form of gifts from relatives. By contrast, the World Bank’s measure for 1981ff is consumption-based – it includes not only income but also the monetary value of all non-monetary transactions. These two disparate measures cannot be united into a single long-term trend. Roser’s graph attempts to do so, but it is not peer-reviewed, and to my knowledge there is no actual scholarship that underwrites this move. It might make for nice social media, but it’s not rooted in science. In fact, uniting the two methodologies is misleading in both directions. (1) By assessing only income from 1820-1970 it likely understates the resources that people had at their disposal in comparison to the representation of the later period, and (2) By assessing total consumption from 1981ff it overstates people’s income in comparison to the representation of the earlier period. The only way to construct a legitimate long-term graph would be to use a single indicator, either income or consumption. While data on income alone is not regarded as a robust way of assessing poverty, it is at least available (if too patchy to be useful) for the whole period. But in such a graph the falloff in poverty since 1981 would not be nearly as steep, as it would not count non-monetary transactions. Alternatively, we could wait until someone devises a reasonable method for measuring poverty in consumption-based terms since 1820. But in the meantime, I think it’s wise to refrain from making claims about long-term poverty trends that lack empirical validity. You say: “Hickel’s picture of the past is a romantic fairy tale, devoid of citations or evidence.” On the contrary, as the above makes clear, it is the graph of the past on which you so glibly rely that is devoid of evidence. As to my actual claims about the past, my argument was straightforward. I simply pointed out that we cannot ignore the fact that the period 1820 to circa 1950 was one of violent dispossession across much of the global South. If you have read any colonial history, you will know colonizers had immense difficulty getting people to work on their mines and plantations. As it turns out, people tended to prefer their subsistence lifestyles, and wages were not high enough to induce them to leave. Colonizers had to coerce people into the labour market: imposing taxes, enclosing commons and constraining access to food, or just outright forcing people off their land. You ask for citations. Here are some you might try: Sven Beckert’s Empire of Cotton, Ellen Wood’s The Origins of Capitalism: A Longer View, Mike Davis’ Late Victorian Holocausts, Adam Hochschild’s King Leopold’s Ghost, and of course Karl Polanyi’s The Great Transformation. The process of forcibly integrating colonized peoples into the capitalist labour system caused widespread dislocation (a history I cover in The Divide). Remember, this is the period of the Belgian labour system in the Congo, which so upended local economies that 10 million people died – half the population. This is the period of the Natives Land Act in South Africa, which dispossessed the country’s black population of 90% of the country. This is the period of the famines in India, where 30 million died needlessly as a result of policies the British imposed on Indian agriculture. This is the period of the Opium Wars in China and the unequal treaties that immiserated the population. And don’t forget: all of this was conducted in the name of the “free market”. All of this violence, and much more, gets elided in your narrative and repackaged as a happy story of progress. And you say I’m the one possessed of romantic fairy tales. The Maddison database on which you rely might tell us what the dispossessed gained in income (eventually), but it does not tell us whether those gains offset their loss of lands, commons, supportive communities, stable local economies. And it tells us nothing about what global South economies might be like today had they been free to industrialize on their own terms (take the case of India, for instance). Let me be clear: this is not a critique of industrialization as such. It is a critique of how industrialization was carried out during the period in question. If people had willingly opted into the capitalist labour system, while retaining rights to their commons and while gaining a fair share of the yields they produced, we would have a very different story on our hands. So let’s celebrate what industrialization has achieved – absolutely – but place it in proper context: colonization, violence, dispossession and all. All we gain from ignoring this history is ignorance. Now, to the present period. You say that the “massive fall of global extreme poverty” is simply a neutral fact of the data. But here again the data on this is more complex than you have ever acknowledged (I collaborated with Charles Kenny to review the basics here). The narrative that you and Gates peddle relies on a poverty line of $1.90 per day. You are aware, I’m sure, that this line is not a neutral phenomenon, handed down by the gods or given in nature. It was invented by people, is used for particular ends, and is hotly contested both inside and outside of academia. Most scholars regard $1.90 as far too low to be meaningful, for reasons I have outlined in my work many times (see here and here). See Reddy and Lahoti’s withering critique of the $1.90 methodology here. Here are a few points to keep in mind. Using the $1.90 line shows that only 700 million people live in poverty. But note that the UN’s FAO says that 815 million people do not have enough calories to sustain even “minimal” human activity. 1.5 billion are food insecure, and do not have enough calories to sustain “normal” human activity. And 2.1 billion suffer from malnutrition. How can there be fewer poor people than hungry and malnourished people? If $1.90 is inadequate to achieve basic nutrition and sustain normal human activity, then it’s too low – period. It’s time for you and Gates to stop using it. Lifting people above this line doesn’t mean lifting them out of poverty, “extreme” or otherwise.
Cite
CITATION STYLE
Hickel, J. (2019). A Letter to Steven Pinker (and Bill Gates, for that matter) About Global Poverty. Class, Race and Corporate Power, 7(1). https://doi.org/10.25148/crcp.7.1.008318
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