Excuse me for not being objective, but a bit more interesting statistics of tags from Stack Overflow is here
<a href="https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow/prospector#211" rel="nofollow">https://www.kaggle.com/c/predict-closed-questions-on-stack-o...</a> (average and median reputation of persons posting questions, % of non-closed questions, average number of additional tags, median body length, freshness of the topic).<p>And my full project, Tag Graph Maps of Stack Exchange:
<a href="https://github.com/stared/tag-graph-map-of-stackexchange/wiki" rel="nofollow">https://github.com/stared/tag-graph-map-of-stackexchange/wik...</a>
Under "Statistical Analysis" the "Weighted-Mean" tag expected age is 72. Under "Mathematics" the "Non-Standard Analysis" tag expected age is 19. I suspect samples of 1 for each of these tags.<p>This is fun to look at but I wouldn't base any conclusions on these averages. Providing histograms for each tag along with some summary statistics such as sample size, min, max, and median would give a lot more transparency into the dataset.
The absense of detailed methodology makes me doubt the worth of this number dump. As a start it would be good to know the number of users that led to the average numbers. And anything about the representative quality.
Yeah I too would be curious to see how the age is distributed among ALL the SO users and tags rather than the "top users" and their social media profiles.
Does anybody know how he actually knows the age of the SO members? He wrote "I call the statistic the Expectd Age because it is calculated using Expected Value from statistics" but that doesn't mean much to me.
Site is down for me(over quota), here's the google cache:
<a href="http://webcache.googleusercontent.com/search?q=cache:www.brianbondy.com/stackexchange/#expected-age" rel="nofollow">http://webcache.googleusercontent.com/search?q=cache:www.bri...</a><p>To go to any page in google cache: <a href="http://webcache.googleusercontent.com/search?q=cache:<URL_WITHOUT_http://>" rel="nofollow">http://webcache.googleusercontent.com/search?q=cache:<UR...</a>;
So by the looks of it as a 28 year old I'm pretty much the exact mean for stack overflow.<p>I love the fact that "war stories" has the highest average age (of 35).
I'm the owner of the site, here is the associated blog post that summarizes some of that data: <a href="http://www.brianbondy.com/blog/id/117/" rel="nofollow">http://www.brianbondy.com/blog/id/117/</a>
I would freain' love a "Wikipedia: age of people rapidly using automatic tools (such as rollback; twinkle; etc)", and then extend that to "How many of those were good changes vs how many of those were poor changes vs how many of those are discussable changes".