Data Analyst Spoils the World's Biggest Song Vote
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."
That's like saying that Nate Silver or Andrew Tanenbaum spoiled the presidential election... Just because they looked at the signs and figured out how others were going to vote doesn't mean that they spoiled anything.
Let's talk about this again if statisticians end up actually influencing the vote through their data analysis. Otherwise, let it go.
Do not look into laser with remaining eye.
Sorry Alphatel, but we've never heard of you either. However we do deeply care about your opinion regarding our radio station. Please tell us more.
Regards,
Australia.