"We can't send mail farther than 500 miles from here," he repeated.

"A little bit more, actually.

Call it 520 miles.

But no farther."

Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work.

Almost everyone knows the power of twitter now but very few know how to get more out of it. To use Twitter fully and become successful, you must check statistics of your account and analyze it. But, the basic Twitter service does not provide full and advanced stats, you can get those only by using tools developed by others.

Here is the list of 8 useful twitter statistics and analytics tools.

Since September 27, 2007, I have been documenting the graffiti left in public study areas in the Joseph Regenstein Library ("the Reg"): the study nooks tucked into the stacks, the whiteboards in the all-night study space, and the study carrels in the reading rooms. I have transcribed over 620 “pieces” of graffiti—many of which contain more than one single contribution—and over 410 of them are datable to within a week of their creation. The following is an analysis of the data to date; you can access the entire data set at my website, Crescat Graffiti, Vita Excolatur.

It has never been a secret that the majority of files being shared over BitTorrent are movies and music that are likely being shared illegally. (Sorry, Linux distro nerds.) Princeton senior Sauhard Sahi confirmed this recently after setting out to survey the content available on BitTorrent and, although there are caveats to his findings, they highlight the relationship DRM has with illegal file sharing. As in: the more DRM there is on the legit versions of the content, the more popular it is on P2P.

Nearly 50% of users used names, slang words, dictionary words or trivial passwords (consecutive digits, adjacent keyboard keys, and so on). The most common password is “123456”.

I have a major pet peeve that I need to confess. I go insane when I hear programmers talking about statistics like they know shit when it’s clearly obvious they do not. I’ve been studying it for years and years and still don’t think I know anything. This article is my call for all programmers to finally learn enough about statistics to at least know they don’t know shit. I have no idea why, but their confidence in their lacking knowledge is only surpassed by their lack of confidence in their personal appearance.

Even if terrorists were able to pull off one attack per year on the scale of the 9/11 atrocity, that would mean your one-year risk would be one in 100,000 and your lifetime risk would be about one in 1300. (300,000,000 ÷ 3,000 = 100,000 ÷ 78 years = 1282) In other words, your risk of dying in a plausible terrorist attack is much lower than your risk of dying in a car accident, by walking across the street, by drowning, in a fire, by falling, or by being murdered.

So do these numbers comfort you? If not, that's a problem. Already, security measures—pervasive ID checkpoints, metal detectors, and phalanxes of security guards—increasingly clot the pathways of our public lives. It's easy to overreact when an atrocity takes place—to heed those who promise safety if only we will give the authorities the "tools" they want by surrendering to them some of our liberty.

Piwik is a downloadable, open source (GPL licensed) web analytics software program. It provides you with detailed real time reports on your website visitors: the search engines and keywords they used, the language they speak, your popular pages… and so much more.

Piwik aims to be an open source alternative to Google Analytics.

To put it in more approachable terms, observe that Ecma-376, OOXML, at 6,045 pages in length, was 58 standard deviations above the mean for Ecma Fast Tracks. Consider also that the average adult American male is 5′ 9″ (175 cm) tall, with a standard deviation of 3″ (8 cm). For a man to be as tall, relative to the average height, as OOXML is to the average Fast Track, he would need to be 20′ 3″ (6.2 m) tall !