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Russel-Research-Method-in-Anthropology

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34 Chapter 2<br />

Dependent and Independent Variables<br />

Beg<strong>in</strong>n<strong>in</strong>g <strong>in</strong> the 1840s, breakthroughs <strong>in</strong> sociology and anthropology produced<br />

<strong>in</strong>sight <strong>in</strong>to the impact of economic and political forces on demography.<br />

One practical result of all this work was life <strong>in</strong>surance. The way life <strong>in</strong>surance<br />

works is that you bet the company that you’ll die with<strong>in</strong> 365 days. You answer<br />

a few questions (How old are you? Do you smoke? What do you do for a<br />

liv<strong>in</strong>g? Do you fly a small plane?), and the company sets the odds—say, your<br />

$235 aga<strong>in</strong>st the company’s promise to pay your heirs $100,000 if you w<strong>in</strong><br />

the bet and die with<strong>in</strong> 365 days. But if you lose the bet and stay alive, they<br />

keep your $235, and next year you go through all this aga<strong>in</strong>, except that now<br />

the odds are raised aga<strong>in</strong>st you to say, your $300 aga<strong>in</strong>st the company’s promise<br />

to pay your heirs a lot of money.<br />

For <strong>in</strong>surance companies to turn a profit, they have to w<strong>in</strong> more bets than<br />

they lose. They can make mistakes at the <strong>in</strong>dividual level, but <strong>in</strong> the aggregate<br />

(that is, averag<strong>in</strong>g over all people) they have to predict longevity from th<strong>in</strong>gs<br />

they can measure.<br />

Longevity, then, is the dependent variable, because it depends on sex, education,<br />

occupation, etc. These latter are called <strong>in</strong>dependent variables because<br />

they are logically prior to, and therefore <strong>in</strong>dependent of, the dependent variable<br />

of longevity. How long you live doesn’t have any effect on your sex. In<br />

our earlier example, blood pressure was the dependent variable. There is no<br />

way sk<strong>in</strong> color depends on a person’s blood pressure.<br />

It’s not always easy to tell whether a variable is <strong>in</strong>dependent or dependent.<br />

Does high female <strong>in</strong>fant mortality among Amazonian tribal people depend on<br />

high levels of warfare, or is it the other way around? Does high <strong>in</strong>come depend<br />

on hav<strong>in</strong>g a lot of land, or vice versa? Do <strong>in</strong>ner-city adolescent girls get pregnant<br />

because they are poor, or . . . ? Does the need for litigation stimulate the<br />

production of attorneys, or . . . ?<br />

Failure to understand which of two variables depends on the other is the<br />

source of endless shenanigans. One of my teachers, Oscar Lewis (1961, 1965),<br />

described what he called a ‘‘culture of poverty’’ among slum dwellers <strong>in</strong> cities<br />

around the world. People who live <strong>in</strong> a culture of poverty, said Lewis, are not<br />

very future oriented. This plays out, he said, <strong>in</strong> their shopp<strong>in</strong>g for food every<br />

day and <strong>in</strong> never buy<strong>in</strong>g large economy sizes of anyth<strong>in</strong>g. Lewis’s po<strong>in</strong>t was<br />

that truly poor people can’t <strong>in</strong>vest <strong>in</strong> soap futures by buy<strong>in</strong>g large boxes of it.<br />

He saw a low level of expressed orientation toward the future, then, as the<br />

dependent variable and poverty as the <strong>in</strong>dependent variable.<br />

Many people <strong>in</strong>terpreted Lewis’s work as mean<strong>in</strong>g exactly the opposite:<br />

that poverty is caused by a low level of future orientation. Accord<strong>in</strong>g to this<br />

topsy-turvy, victim-blam<strong>in</strong>g reason<strong>in</strong>g, if poor people everywhere would just

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