How One Man Has Made Over 6 Million Edits to Wikipedia and Counting

Have you ever turned to Wikipedia for information? If so, there’s a high likelihood that you’ve come across contributions from Stephen Pruitt. Under his elaborate pen name “Ser Amantio di Nicolao,” Pruitt has amassed over 6 million edits and authored more than 33,000 articles – the highest number for any individual in the almost 25-year lifespan of the site.

Since initiating his editing journey in 2004, Pruitt has subtly emerged as one of the most significant figures on the internet. He is responsible for at least one edit on a third of all English entries, tackling a wide range of topics from historical figures to refining grammar, citations, and formatting.

In 2017, Time magazine recognized him as one of the 25 most impactful people online, sharing the honor with figures like Donald Trump and Kim Kardashian.

Mr. Pruitt holds such a pivotal role in Wikipedia that the platform’s founder, Jimmy Wales, has personally met him and referred to him as “a very prolific editor.”














Wales emphasized that Wikipedia’s strength relies not only on its most active contributors but also on the variety of editorial styles that keep the site thriving.

“We aim to move away from the notion of ‘edit count’ as a measure of activity,” Wales commented to BBC Science Focus.

“Clearly, if someone has six million edits, they are an extremely active Wikipedian. However, there are others who edit less frequently, taking time to do research before returning to contribute thoughtfully, which is equally crucial, unlike merely performing maintenance with scripts and tools.”

“We require all types of contributors to compile this body of knowledge.”

Wikipedia founder Jimmy Wales hailed Stephen Pruitt’s contributions as “absolutely incredible.” – Credit: Getty

Pruitt was born in San Antonio, Texas, in 1984, raised in Virginia, and earned a degree in art history from the College of William & Mary. His inaugural Wikipedia entry focused on his distant relative, Peter Francisco, a Revolutionary War hero known as “Virginia Hercules.”

Now, Pruitt dedicates several hours each day to editing, often utilizing software tools to automate repetitive tasks. He is also an active participant in the Women in Red project, which strives to bridge the gender gap on Wikipedia by creating entries for notable women who lack representation.

“Sometimes it’s odd to think that a third of Wikipedia was contributed by one individual,” says Wales. “Well, in reality, one person has contributed to a third of it, which is astounding. But his contributions largely consist of refining grammar, ensuring accurate spelling, and fixing references – the technical aspects that enhance its quality, which is crucial.”

When questioned by CBS Morning in 2019 about his dedication to Wikipedia, Pruitt simply stated, “I’m captivated by the idea of providing free access to all information. My mother grew up in the Soviet Union, making me acutely aware of what it means to make knowledge and information freely available.”

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Source: www.sciencefocus.com

Math Tricks to Simplify Counting

“It’s hard to count moving objects.”

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Whether it’s military tanks, roaming wildlife, or busy cutlery in a restaurant, counting moving objects can be quite challenging. Thankfully, there exists a method that enables you to estimate the total number of items without having to count every single one.

The capture-recapture technique works by sampling. For instance, you allow some animals to roam, then collect a subset. After marking the individuals, they are returned to the population. Later, you can capture another group and count how many of them are marked.

If your first capture involves 50 marked animals, and you find that half of the second group are marked, you can deduce that approximately half of the total population is marked. Therefore, the entire population can be estimated to be around 100.

During World War II, Allied statisticians aimed to estimate the number of tanks manufactured by the German forces. Instead of releasing captured tanks, they labeled tank components with serial numbers. By recording the serial numbers of both captured and destroyed tanks, they could estimate total production under the assumption of uniform distribution. If the highest serial number recorded is l and n is the number of captured tanks, then the total tank count can be estimated as l + L/n.

For example, if the maximum serial number logged is 80, you might estimate the full range to be around 80/4 = 20, resulting in an overall estimate of about 100 tanks. This problem is commonly referred to as the German tank problem in statistics.

One of my favorite stories about estimating populations comes from a friend’s teacher. The class was tasked with estimating the number of forks in the cafeteria.

The students “captured” several forks, marking each with a spot of nail polish before releasing them back. A week later, they recaptured a sample and used it to estimate the total fork count.

Researcher executed a similar study 20 years ago. Concerned about missing teaspoons in their lab, they marked and released a number of spoons, tracked their movements, and published their findings. The outcome proved effective, prompting the notorious return of five misplaced teaspoons by the culprit in the building.

Katie Steckles is a mathematician, educator, YouTuber, and author based in Manchester, UK. She also serves as an advisor to Brent Wister, a puzzle column for New Scientist. Follow her on Twitter @stecks.

For more projects, please visit newscientist.com/maker.

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Source: www.newscientist.com