Most people in the richest countries are absolutely wrong about the state of the world. We have tested their knowledge. We asked 12 basic fact questions to the general public in fourteen rich countries, using online panels. Every question had three alternatives: A, B or C. When we went to the zoo and marked bananas with A, B & C, the chimpanzees picked the right answer every third time. On average a monkey picking answers randomly would score 4 out of 12 correct answers. But the average score for the humans was much lower: only 2.2! That’s why the logo for the study is a monkey.
This graph shows how many people got different number of correct answers. Only 10% scored better than random.
A stunning 15% of humans managed to pick the wrong answer on all twelve questions. That’s almost impossible for a monkey to achieve. It requires systematic misconceptions. The problem here is not the lack of correct knowledge. The problem is the presence of wrong “knowledge”. To score this bad requires a false perception of the world, that make you pick the wrong answer systematically.
There was actually one question, number 13, which we have excluded because almost everyone, 87% of respondents, picked the right answer. We have excluded that question, because there wasn’t any substantial ignorance about the climate experts forecasts, compared to the devastating ignorance we found about other global development.
Take the test
The test in the book Factfulness uses the same twelve questions. If you haven’t already done so, please take the Gapminder Test yourself, before laughing at others! We think it requires a large dose of humility and curiosity to solve this massive problem of global ignorance.
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Please give us feedback in the Gapminder fact question forum.
We asked 12 basic fact questions to the general public in fourteen rich countries. Their results were terrible. Chimpanzees would have scored better!
We asked nine fact questions to the general public in three European countries. The results revealed some staggering misconceptions.