You may know W. E. B. DuBois as the author of The Souls of Black Folk and the founder of the NAACP. But did you know he was also a data visualization pioneer and invented techniques to understand health inequalities that were decades ahead of their time?
(@DavidOlusoga and I tell this story in tonight’s episode of Extra Life on @pbs at 8PM/7Central — the episode is all about the surprising power of data to save lives, and DuBois is one of its central protagonists. The episode will air on BBC4 next Tues.)

pbs.org/show/extra-lif…
In 1896, DuBois has just completed his PhD at Harvard (the first African-American to do so) and he gets a one-year job in Philadelphia, investigating what was then called “the Negro problem”—the poverty, poor health, and crime in the city’s largely African-American 7th Ward.
His challenge is fighting the prevailing racism of the day—visible in so-called scholarly texts with titles like “Race Traits and Tendencies of The American Negro”— that assumes that the crisis of inner city neighborhoods is the result of deficiencies in the “Negro race” itself.
He decides to fight back using data, launching an epic investigation into the conditions of the neighborhood, personally visiting 2,000 households in three months, compiling endless tables on occupancy levels, access to toilets and drinking water, mortality rates, and more.
He creates a groundbreaking map of the neighborhood, color-coded for different social classes; he demonstrates that black Philadelphians were twice as likely to die before the age of fifteen as their white neighbors.
Most importantly, he shows how health inequalities are tied to the physical environment: “Broadly speaking the Negroes as a class dwell in the most unhealthful parts of the city and in the worst houses... Of the 2,441 families only 334 had access to bathrooms and water‐closets.”
He explains how infection rates for diseases like tuberculosis are so much higher because of higher occupancy rates in the 7th ward—with many apartments sleeping four or more people to a room. (A pattern we’ve seen again with the COVID pandemic.)
DuBois is inventing a discipline that will eventually come to be called “social epidemiology” decades later: the study of how social and economic conditions drive health outcomes and the spread of disease. He’s just 29 years old.
He goes on to create a brilliant exhibit for the 1900 Paris Expo, documenting the national condition of African-Americans in a series of dazzling infographics that look almost like modern art.
In addition to our telling the story of DuBois in Philadelphia, all the infographics (and the title sequence) of our PBS/BBC series Extra Life were created as an homage to DuBois’ brilliant data visualizations from that period.
And there’s more on DuBois and his brilliant investigations in the book version of Extra Life, available from bookstores in the US and the UK today. penguinrandomhouse.com/books/594501/e…

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More from @stevenbjohnson

1 May
Is the doubling of global life expectancy just a statistical sleight-of-hand? I get this a lot. Adults aren’t *really* living longer, the argument goes; it’s just that infant mortality has dropped.

But that argument is misguided, for a number of reasons. Let me count the ways.
(Some of what follows is briefly referenced in my @NytMag essay from this weekend, and it’s covered more extensively in my book Extra Life: A Short History of Living Longer, which comes out next week.)

nytimes.com/2021/04/27/mag…
Let’s time travel back to England a little more than a century and a half ago, in the middle of industrialization. Life expectancy at birth averaged about 40 years nationwide, but was as low as 25 in cities like Liverpool.
Read 14 tweets
4 Feb
THREAD: If you had to pick one chart to represent the last hundred years or so of the modern age, what would it be? I think it would have to be this one, tracking the changes in global life expectancy from 1900 to today.
A century ago, at the end of the Great Influenza, global life expectancy was in the mid 30s. In the US, it was 47. In places like India, it was in the mid 20s, lower than the average lifespan in most hunter-gatherer societies.
Average lifespans were so low in part because childhood was shockingly dangerous. Roughly a third of all children died before reaching adulthood.
Read 18 tweets
17 Mar 20
Here’s a question that’s been running in my mind the last few days. Everyone has been saying that the US COVID-19 cases are tracking Italy’s almost exactly, just lagging ten days behind… [thread]
But we all know the US case number is meaningless, because of the lack of tests. It’s clearly much higher than the official number. It could be 10x the official number, no one knows. Just the number of COVID-positive celebrities/athletes makes me think it's much higher.
A far more accurate number is COVID-19 deaths. No doubt there are a few undiagnosed COVID deaths out there, particularly in the early days, but that would likely be true of Italy as well.
Read 9 tweets
13 Sep 18
A book like FARSIGHTED that synthesizes research from a wide range of fields inevitably draws on many other works for inspiration. So I thought I’d share some of the key texts in this thread so people can keep reading (after finishing FARSIGHTED of course) penguinrandomhouse.com/books/309724/f…
Darwin on Man: A Psychological Study of Scientific Creativity, by Howard Gruber. (Now out of print I believe.) A brilliant deep dive into Darwin’s notebooks, which ultimately led me to Darwin’s pros and cons list that opens FARSIGHTED.
Superforecasting, by @PTetlock and @dgardner. A brilliant exploration of the challenge of making long-term predictions, based on extensive research with experts who have a genuine track record of accurate forecasts.
Read 10 tweets

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