Courtesy of
Gigaom
On Saturday night millions of people all over Europe - all over
the world, in fact - tuned in to the annual Eurovision
Song Contest, a cheesy televisual explosion that many worship
as a festival of camp, cross-border craziness. In a
three-and-a-half hour live broadcast from Azerbaijan (yes, really),
viewers from 42 countries listened to 26 songs and voted for which
one they liked the most.
Amid all that, you might think that guessing the winner would be
hard. But one man predicted the result… sort of.
Meet Martin
O'Leary, a glaciologist and data nerd who works at the
University of Michigan. O'Leary, who calls himself a "recovering
mathematician," decided to use statistical analysis on Eurovision
to try and
understand which country would win:
"Sweden's going to win, unless it's
Malta, or maybe somebody else. If you average together the taste in
pop music of all of Europe, you get a Hungarian. Don't trust the
scores on Saturday night, they're just toying with your
emotions.
And guess what? Sweden won!"
You can read O'Leary's
entire
series
of
posts to understand how he arrived at that conclusion, but
here's the quick version.
He did it by taking performing a Bayesian analysis on a wide
range of previous Eurovision results, taking into account a few
important factors with his model. First, the recognition that while
Eurovision is a song competition, the results are not really based
on the quality of song - although it can play a part. Then there's
the fact that there are semi-finals (held to whittle the number of
contestants down) that allow some songs to be tested in public.
And then, most importantly, there's the recognition that
Eurovision is heavily influenced by transnational politics: which
countries like which other countries plays a bigpart in
voting. Entrants from the Balkans, for example, tend to trade votes
with each other. Greece nearly always awards maximum points to
Cyprus and vice versa. Big European powers like the U.K, France and
Germany perform less well than smaller countries with lots of
positive sentiment toward them.
But while O'Leary's number-crunching enabled him to predict
Sweden's victory - and claim a victory for data modeling - it
wasn't infallible.
In particular, his prediction that Malta would be in the mixed
seems to have caused some consternation. His guess was so exciting
to the Maltese that
it even made the newspapers, but in the end the country's entry
came in a measly 21st out of 26.
This was clearly upsetting to the Maltese, so he issued an
apology:
"This prediction caused quite a stir
in Malta, with a story in the Times of Malta and over 16,000
pageviews from Malta1 on Saturday alone. Many took this as good
evidence that Malta were going to do well in the contest, and some
people were rather annoyed with me when they did not.
I'd like to apologise if I misled
anyone. I didn't expect anyone to take the model predictions
particularly seriously, and if I had known, I would have included
some more caveats and explanations of exactly what the model was
predicting. Instead, I was fairly loose and jokey about the model
results, and didn't really talk about what they meant in real
terms."
Sorry, guys.
But will they forgive him?