Develop a fact-based worldview
Hans Rosling did an amazing job in explaining the data in a very non-intimidating manner and helped readers make sense of the world through story-telling. I appreciated the author used the four levels (four income groups) to help us better understand the world and challenged the way we classify the developing and developed countries. The “10 factufullness commandments” explained in the book are powerful tools for readers to develop critical thinking and evaluate information received.
After reading this book, I have a new thought on how we should guide students in doing their service projects. There should be no more horrifying images or terrible news to urge others take actions. If we encourage and actually teach students to do this, we fail them as we are just as misleading as the media. Instead, we should guide students to think critically when evaluating different information before making decisions. We ought to explicitly point out the incremental positive changes made and celebrate human achievement. Young people should be inspired and feel hopeful about the world that they are living in, and feel empowered to galvanize us into actions!
10 Factfulness Commandments
- the gap instinct;
- the negative instinct;
- the straight line instinct;
- the fear instinct;
- the size instinct;
- the generalization instinct;
- the destiny instinct;
- the single perspective instinct;
- the blame instinct;
- the urgency instinct.
We should be mindful of our ten instincts and become aware of how these instincts can prevent us from putting events in perspective. “10 factfulness commandments” is suggested as a framework to overcome our 10 instincts and help us develop a fact-based worldview.
You can directly download the PDF by clicking the picture below.
I was excited to read Factfulness after seeing it highly recommended in a newsletter I subscribe to. The Bill Gates quote on the cover — calling it “an indispensable guide to thinking clearly about the world” — only added to my anticipation.
My enthusiasm was dampened early on. On page 22, in the chapter “Hunting Down the First Mega Misconception,” I found Hans Rosling’s response to a student’s comment somewhat disingenuous and mean-spirited. I believe Hans knew the student was referring to the cohort he had just described — children in tribal societies and farming communities in remote rural areas, who have the highest child mortality rates. His aside that he “didn’t mean to pick on him” seemed to acknowledge this.
My bigger issue came on page 41, where Rosling concludes there is no income gap between Mexico and the United States. This struck me as obviously wrong, and the way the data was presented made it worse.
The x-axis of the income plot uses a logarithmic scale, with each value being four times the previous one. This is deeply misleading. What appears to be a modest difference — roughly $7 for the average Mexican income versus $60 for the average American income — masks a dramatic real-world gap that would be immediately apparent on a linear scale.
Presenting the income distributions as bell-shaped curves compounds the problem. Income data is well known to be heavily right-skewed, making a normal distribution a poor and misleading fit. Even on the distorted log scale, pointing to overlapping distributions as evidence of “no gap” is a stretch — any standard statistical test would show a significant difference between the two incomes.
The irony is hard to ignore: a book explicitly aimed at teaching readers not to be misled by data used some of the most misleading data presentations I’ve encountered. That contradiction was enough for me to stop reading.