http://video.ted.com/assets/player/swf/EmbedPlayer.swf

Statistics stands on two pillars, estimation and inference. Pretty much anything you work on stats, you end up either estimating something or inferring something. If you take a random sample of people who have taken a stats101 course at some point in their lives and ask them what was the course all about , a most likely answer would be, “It was something to do with p-values”. Statistics at it core is about comparing a set of numbers with each other , with theoretical models and with past experience.

Via What Are the Odds That Stats Would Be This Popular? “Most of my life I went to parties and heard a little groan when people heard what I did,” says Robert Tibshirani, a statistics professor at Stanford University. “Now they’re all excited to meet me.” It’s not because of a new after-shave. Arcane statistical analysis, the business of making sense of our growing data mountains, has become high tech’s hottest calling.

Joshua Foer, the author of the book, “Moonwalking with Einstein”, speaks at TED. http://video.ted.com/assets/player/swf/EmbedPlayer.swf

A beautiful poem via Jaisri : Misunderstand me correctly… Music begins where words cease. When music ceases, silence! When all arts aspire to the condition of music; What does music aspire to? Silence. The logic of music leads eventually to silence! Music must come from silence. Come from it and return to it. Perhaps everything will end in fire. Fire, then silence. That is how everything end, after all.