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

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

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
That is very unusual. Often it takes several generations for a family to move from Level 1 to Level 4. I hope though that you now have a clear picture of the kinds of lives people live on different levels; a sense that it is possible to move through the levels, both for individuals and for countries; and above all the understanding that there are not just two kinds of lives.
    Human history started with everyone on Level 1. For more than 100,000 years nobody made it up the levels and most children didn’t survive to become parents. Just 200 years ago, 85 percent of the world population was still on Level 1, in extreme poverty.
    Today the vast majority of people are spread out in the middle, across Levels 2 and 3, with the same range of standards of living as people had in Western Europe and North America in the 1950s. And this has been the case for many years.
The Gap Instinct
    The gap instinct is very strong. The first time I lectured to the staff of the World Bank was in 1999. I told them the labels “developing” and “developed” were no longer valid and I swallowed my sword. It took the World Bank 17 years and 14 more of my lectures before it finally announced publicly that it was dropping the terms “developing” and “developed” and would from now on divide the world into four income groups. The UN and most other global organizations have still not made this change.
    So why is the misconception of a gap between the rich and the poor so hard to change?
    I think this is because human beings have a strong dramatic instinct toward binary thinking, a basic urge to divide things into two distinct groups, with nothing but an empty gap in between. We love to dichotomize. Good versus bad. Heroes versus villains. My country versus the rest. Dividing the world into two distinct sides is simple and intuitive, and also dramatic because it implies conflict, and we do it without thinking, all the time.
    Journalists know this. They set up their narratives as conflicts between two opposing people, views, or groups. They prefer stories of extreme poverty and billionaires to stories about the vast majority of people slowly dragging themselves toward better lives. Journalists are storytellers. So are people who produce documentaries and movies. Documentaries pit the fragile individual against the big, evil corporation. Blockbuster movies usually feature good fighting evil.
    The gap instinct makes us imagine division where there is just a smooth range, difference where there is convergence, and conflict where there is agreement. It is the first instinct on our list because it’s so common and distorts the data so fundamentally. If you look at the news or click on a lobby group’s website this evening, you will probably notice stories about conflict between two groups, or phrases like “the increasing gap.”
How to Control the Gap Instinct
    There are three common warning signs that someone might be telling you (or you might be telling yourself) an overdramatic gap story and triggering your gap instinct. Let’s call them comparisons of averages, comparisons of extremes, and the view from up here.
Comparisons of Averages
    All you averages out there, please do not take offense at what I am about to say. I love averages. They are a quick way to convey information, they often tell us something useful, and modern societies couldn’t function without them. Nor could this book. There will be many averages in this book. But any simplification of information may also be misleading, and averages are no exception. Averages mislead by hiding a spread (a range of different numbers) in a single number.
    When we compare two averages, we risk misleading ourselves even more by focusing on the gap between those two single numbers, and missing the overlapping spreads, the overlapping ranges of numbers, that make up each average. That is, we see gaps that are not really there.
    Look at the two (unrelated) graphs here, for example:

    The graph

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