Poverty, psychology and pseudoscience

From the abstract of ‘Why Do People Stay Poor? Evidence on Poverty Traps from Rural Bangladesh’, November 24, 2020:

There are two broad views as to why people stay poor. One emphasizes differences in fundamentals, such as ability, talent or motivation. The other, poverty traps view, differences in opportunities stemming from differences in wealth. We exploit a large-scale, randomized asset transfer and panel data on 6000 households over an 11 year period to test between these two views. The data supports the poverty traps view — we identify a threshold level of initial assets above which households accumulate assets, take on better occupations and grow out of poverty. The reverse happens for those below the threshold.

In the resulting worldview this ‘condition’ imposes on people, it’s tempting to see justification for the existence of pseudoscientific enterprises like astrology. Actually, a faith-based binary like ‘requiring faith’ v. ‘not requiring faith’ may be more appropriate here than a science-based binary (‘scientific’ v. ‘unscientific’), if only to emphasise the presence of faith here over the absence of scientific reasoning. So that is, while I can’t ascertain a causal relationship between conditions like the poverty trap and opaque practices like astrology, there’s enough of a correlation here to understand astrology et al as the means by which people rationalise their shared predicament – a predicament that refuses to be allayed by their own efforts.

For example, astrology could provide social, mental and moral incentives for individuals to believe – without having to know – that they were denied any opportunities because ‘their time isn’t right’ and/or that they will continue to luck out, while social realities instead of the alignment of their stars will ensure this is true in some measure. Such faith could also subdue or redirect individuals’ anger or sense of wrongdoing at forces beyond their control, creating ground for social conditions that tolerate oppression more than it ought to be.

Another observation this paper brings to mind is from the work of Sendhil Mullainathan, among others. Researchers from various fields have reported differences in the way poor people make decisions, compared to those who aren’t poor – as if they were less intelligent. However, this perception arises from a sort of cognitive John-Henryism: that is, just as disadvantaged members of society – like Black people in the US – can incur a physical toll imposed by the need to fight for their rights, poor people incur a cognitive toll brought on by the limited availability of resources and the short-lived nature of good fortune.

This doesn’t mean poor people become or are less intelligent, or anything nonsensical like that. Instead, it means poor people’s priorities are different – for example the need for discounts on products, and to maximise absolute savings over percentage savings – in a way that those who aren’t poor may not find optimal for their needs, and that more tasks compete for their attention when they are short on the resources required to execute all of them. As Alice Walton wrote for the Chicago Booth Review in 2018,

In the Wheel of Fortune–style game, the researchers [including Mullainathan] measured how cognitively fatigued the players became. Logic would predict that rich players would be more fatigued, since they were allowed more turns to make more guesses. Instead, the researchers observed that poor players, having received fewer tries to guess at the answers, were more fatigued, having put more effort into each guess.

In an Angry Birds–style game in which people tried to shoot targets, rich players were given more chances to train a virtual slingshot on a target. Poor players, given fewer attempts, spent longer lining up their shots, and many scored more points per shot than rich players. For all the extra shots rich players had, they didn’t do as well, proportionally. “It seems that to understand the psychology of scarcity, we must also appreciate the psychology of abundance. If scarcity can engage us too much, abundance might engage us too little,” the researchers write.

This toll subsequently compromises future choices, and effectively installs another barrier, or trap, in front of people trying to go from being poor in one resource – money, in poverty’s case – to being rich. Walton offers a few examples of policymakers building on these findings to devise better schemes and improve uptake.

In India, where sugarcane farmers are paid annually after the harvest, farmers’ attention scores were the equivalent of 10 IQ points higher than just before the harvest, when farmers were relatively poor, according to data from the 2013 Science study

Offering subsidies or other incentives when people are more receptive to and have the spare capacity to consider them, such as after a harvest or a payday, may make a difference over the long run. One effort, in Tanzania, asked people to sign up for health insurance at cashpoint locations right after payday, and the timing led to a 20 percentage point increase in health-insurance use.

Introducing cognitive aids can help address the limited capacity for attention that may constrain people in poverty. In one study, it helped to show farmers research regarding the most productive ways to plant their crops. When poor, stressed, and in a scarcity mind-set, farmers had a harder time taking in the information. “This result has nothing to do with the intelligence of the farmers,” writes Bryan’s team. “A fact is only obvious if the observer has the spare attentional capacity to notice it.”

I wonder if the converse could also be true: that when homeopaths, phytotherapists, many Ayurveda practitioners and other quack healers offer dubious ways out of difficult healthcare situations, people who are short on attentional space could be likelier to buy into them in order to free up space for other tasks. If so, governments and activists may also need to consider fighting superstition and pseudoscience in healthcare by ensuring more legitimate outcomes – like visiting the local clinic or being able to procure a given drug – require as little cognitive bandwidth as possible.