A Taste Test for Hunger
By ROBERT JENSEN and NOLAN MILLER
NYT
CONSIDER this paradox: according to conventional wisdom, hunger is supposed to decline as a country’s wealth increases. Yet in China and India, hunger appears to be growing even as incomes increase at phenomenal rates.
There are a few possible explanations: unequal distribution of wealth, inefficient or indifferent governments and aid agencies, and recent increases in world food prices. While these factors may play a role, at least part of the answer may be much simpler: we are measuring hunger incorrectly.
Suppose you want to figure out if someone has enough to eat. The standard approach is to compare the number of calories eaten to the number needed, with “need” defined by a statistical average across a population. In effect, policy makers tell people whether they are hungry based on whether the amount of calories they take in conforms to some externally imposed standard.
Of course, very few people actually conform to a statistical average. So what if, instead, you looked not just at how many calories people consumed, but at the food they chose to eat?
(More here.)
NYT
CONSIDER this paradox: according to conventional wisdom, hunger is supposed to decline as a country’s wealth increases. Yet in China and India, hunger appears to be growing even as incomes increase at phenomenal rates.
There are a few possible explanations: unequal distribution of wealth, inefficient or indifferent governments and aid agencies, and recent increases in world food prices. While these factors may play a role, at least part of the answer may be much simpler: we are measuring hunger incorrectly.
Suppose you want to figure out if someone has enough to eat. The standard approach is to compare the number of calories eaten to the number needed, with “need” defined by a statistical average across a population. In effect, policy makers tell people whether they are hungry based on whether the amount of calories they take in conforms to some externally imposed standard.
Of course, very few people actually conform to a statistical average. So what if, instead, you looked not just at how many calories people consumed, but at the food they chose to eat?
(More here.)
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