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.
did you even look at the page?
He goes very much out of his way not to spoil it, but giving you half a dozen very large warnings.
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.
I am an Aussie and love good Aussie music and I haven't heard of any of the songs in the top 20.
In saying that, I should point out to the foreigners here that Triple J isn't exactly mainstream (Triple J started out as a station to play all the artists that commercial radio was ignoring and still does so today in some cases)
And the winner is ....
Have gnu, will travel.