Data Analyst Spoils the World's Biggest Song Vote 165
littlekorea writes "A data analyst has successfully predicted the top ten songs of the world's biggest song contest — the Triple J Hottest 100 — by extrapolating voting intentions fans had posted on Twitter and Facebook. Nick Drewe's Warmest 100 list closely mimicked the Hottest 100 results, predicting the top three in correct order and predicting 92 of the most popular 100 songs."
The votes are in! (Score:5, Insightful)
And the winner [youtube.com] is ....
I am the author of the ITnews article. (Score:4, Insightful)
So yeah. Hi.
I wrote some more detailed commentary on my blog, if you want more details than would fit in a short news article.
http://www.eigenmagic.com/2013/01/24/will-the-warmest-100-prove-a-scorcher/ [eigenmagic.com] and http://www.eigenmagic.com/2013/01/26/warmest-100-updates/ [eigenmagic.com]
It's nearly midnight here, but if I get a chance in the morning, I'll post up some more info including the code I used to replicate the Warmest 100's methods, and some scatterplots showing how the accuracy of the predictions got better the closer things got to number one, similar to the tableau link from diodegod.
Statistics is the new black. :)