Big data meets adult content

Tools

Go ahead, click on the article; we're not tracking you that way. We know it's just your job and that you're interest lies primarily in the technology behind porn analytics. That dark-haired porn stars outnumber blondes almost 2-to-1 is probably not of interest to you, but that it took analysis of more than 10,000 porn star profiles to determine that fact, probably is. So read on.

John Millward calls himself an ideas detective. He is a writer who chooses "interesting aspects of human life and investigates them." He spent six months analyzing a data set of 10,000 porn stars to uncover the truth about what the average performer looks like, what they do on film and how their role has evolved over the last forty years.

So this is actually less a story about big data than a story about what you can do instantly with big data that otherwise, as in this case, takes six months.

You'll have to click here for the more salacious statistics, but believe it or not, the average career length for male porn stars is 22.4 years. With an average of 45 different co-stars per year, well, you can figure it out. Women, who are neither as well-endowed nor racially diverse as you might guess, work on average for 17.7 years. Nor are they as prolific as their male counterparts.

California, the birthplace of pornography, produces 90 percent of the American product, while Hungary and the Czech Republic are battling it out for second place in the number of male stars they produce.

For more scientific outlooks on porn:
- see John Millward's study

Related Articles:
Analyst SoundOff: What the cloud means for content management
Mistaken porn raid highlights the risks of unsecured Wi-Fi routers