Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think

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Book: Read Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think for Free Online
Authors: Hans Rosling
on the left shows the gap between the average math scores of men and women taking SAT tests in the United States, for every year since 1965. The graph on the right shows the gap between the average income of people living in Mexico and the United States. Look at the huge differences between the two lines in each graph. Men versus women. United States versus Mexico. These graphs seem to show that men are better at math than women, and that people living in the United States have a higher income than Mexicans. And in a sense this is true. It is what the numbers say. But in what sense? To what extent? Are all men better than all women? Are all US citizens richer than all Mexicans?
    Let’s get a better sense of the reality behind the numbers. First, let’s change the scale on the vertical axis. Using the same numbers, we now get a very different impression. Now the “gap” seems almost gone.

    Now let’s look at the same data in a third way. Instead of looking at the averages each year, let’s look at the range of math scores, or incomes, in one particular year.

    Now we get a sense of all the individuals who were bundled into the average number. Look! There is an almost complete overlap between men and women’s math scores. The majority of women have a male math twin: a man with the same math score as they do. When it comes to incomes in Mexico and the United States, the overlap is there but it is only partial. What is clear, though, looking at the data this way, is that the two groups of people—men and women, Mexicans and people living in the United States—are not separate at all. They overlap. There is no gap.
    Of course, gap stories can reflect reality. In apartheid South Africa, black people and white people lived on different income levels and there was a true gap between them, with almost no overlap. The gap story of separate groups was absolutely relevant.
    But apartheid was very unusual. Much more often, gap stories are a misleading overdramatization. In most cases there is no clear separation of two groups, even if it seems like that from the averages. We almost always get a more accurate picture by digging a little deeper and looking not just at the averages but at the spread: not just the group all bundled together, but the individuals. Then we often see that apparently distinct groups are in fact very much overlapping.
Comparisons of Extremes
    We are naturally drawn to extreme examples, and they are easy to recall. For example, if we are thinking about global inequality we might think about the stories we have seen on the news about famine in South Sudan, on the one hand, and our own comfortable reality on the other. If we are asked to think about different kinds of government systems, we might quickly recall on the one hand corrupt, oppressive dictatorships and on the other hand countries like Sweden, with great welfare systems and benevolent bureaucrats dedicating their lives to safeguarding the rights of all citizens.
    These stories of opposites are engaging and provocative and tempting—and very effective for triggering our gap instinct—but they rarely help understanding. There will always be the richest and the poorest, there will always be the worst regimes and the best. But the fact that extremes exist doesn’t tell us much. The majority is usually to be found in the middle, and it tells a very different story.
    Take Brazil, one of the world’s most unequal countries. The richest 10 percent in Brazil earns 41 percent of the total income. Disturbing, right? It sounds too high. We quickly imagine an elite stealing resources from all the rest. The media support that impression with images of the very richest—often not the richest 10 percent but probably the richest 0.1 percent, the ultra-rich—and their boats, horses, and huge mansions.
    Yes, the number is disturbingly high. At the same time, it hasn’t been this low for many years.

    Statistics are often used in dramatic ways for political

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FSF, January-February 2010

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