Yellow-bellied coward or the new Duchamp?

Your comments, please, on the Rothko defacement.

This Sunday, an “invaluable” painting by Mark Rothko was tagged in plain view by Vladimir Umanets, a manifesto-writer and co-founder of the mysterious and previously unheard of “Yellowism”. It’s an act that has hit a collective nerve. With a runaway comment thread on the Guardian website, this has got to be the most discussed new story to hit the art world since the fresco fiasco. (Though, I’ll warn you, there are those who suggest they were in it together.)

Hundreds of readers have cast in their thoughts on various news sites. “Selfish”, “shameful”, “self-important” and “dull” are just a few of the things Umanets’ act of vandalism has been called. Others have praised his audacity and the questions he raises about the ever-questionable state of contemporary art. “Let me be the first to say: Good on him,” says Rah90. “After all, what is art anyway?” chips in Glenorglenda, both from the Guardian. “Rothko is overrated don't you think?” says WHYGODWHY on New York Magazine’s website.

In his own defence this morning, Umanets compared his act with the Dadaist absurdism of Duchamp, executed with the panache of Hirst. He told the Guardian:

I believe that if someone restores the [Rothko] piece and removes my signature the value of the piece would be lower but after a few years the value will go higher because of what I did. I was expecting that the security at Tate Modern would take me straight away, because I was there and I signed the picture in front of a lot of people. I didn't destroy the picture. I did not steal anything. There was a lot of stuff like this before. Marcel Duchamp signed things that were not made by him, or even Damien Hirst.

An article in the Independent has him adding:

I am a Yellowist. I believe what I am doing and I want people to start talking about this. It was like a platform.  It's good people are shocking about what happened, no-one is realising what actually happened, everyone is just posting that the piece has been damaged or destroyed or defaced. But I believe that after a few years they will start looking for it from the right angle. So that's why I did it.

And in his cryptic manifesto (co-written with with Marcin Lodyga), he writes:

Yellowism is not art or anti-art. Examples of Yellowism can look like works of art but are not works of art. There is no evolution of Yellowism, only its expansion.

There you have the facts. For what it’s worth, I’ll throw in my two cents below. But mine is just a voice among many. What do you think? Please participate in the discussion by leaving your thoughts and responses in the comment thread below.

An open letter to Vladimir Umanets

From where I’m sitting, your act reeks of self-congratulation. Well, congratulations Vladimir, you got us talking about Yellowism. But with a website high on nudity and low on lucid, engaging information, I doubt you’ll accrue many new fans. They call yellow the colour of cowards. Sorry to say it, but your act of Yellowism doesn’t feel all that courageous.

The joy of the modern art gallery is that it’s still a reasonably democratic space, usually free from barriers, protective casings or overbearing security guards. The relaxed atmosphere that enabled your act is exactly that sort of luxury that your act will destroy. Art is a shared experience and cherishing its communal value is the reason so many fight to keep galleries accessible for all. The unfortunate legacy of your act is unlikely to be an enlightening debate on the state of art, but rather a big glass plate between us and the paint.

You forget that this painting does not belong to you; it belongs to everyone. Stop hogging it for your personal agenda. If you’ve got a message to spread, go and make some art of your own.

And shouldn’t we always be wary of things that claim to “expand” rather than evolve? Sounds a bit like the blob if you ask me. And no one thought the blob was very clever.

Vandals at work? It all seems so civilized... The Yellowism studio in Cairo, 2010/2011 (PHOTO: Marwan Abd El-Alim)

The writing on the Rothko appears to read: "Vladimir Umanets '12, A Potential Piece of Yellowism." (PHOTO: Tim Wright)

Charlotte Simmonds is a writer and blogger living in London. She was formerly an editorial assistant at the New Statesman. You can follow her on Twitter @thesmallgalleon.

OLIVER BURSTON
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How science and statistics are taking over sport

An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others.

In the mid-1990s, statistics undergraduates at Lancaster University were asked to analyse goal-scoring in a hypothetical football match. When Mark Dixon, a researcher in the department, heard about the task, he grew curious. The analysis employed was a bit simplistic, but with a few tweaks it could become a powerful tool. Along with his fellow statistician Stuart Coles, he expanded the methods, and in doing so transformed how researchers – and gamblers – think about football.

The UK has always lagged behind the US when it comes to the mathematical analysis of sport. This is partly because of a lack of publicly available match data, and partly because of the structure of popular sports. A game such as baseball, with its one-on-one contests between pitcher and batter, can be separated into distinct events. Football is far messier, with a jumble of clashes affecting the outcome. It is also relatively low-scoring, in contrast to baseball or basketball – further reducing the number of notable events. Before Dixon and Coles came along, analysts such as Charles Reep had even concluded that “chance dominates the game”, making predictions all but impossible.

Successful prediction is about locating the right degree of abstraction. Strip away too much detail and the analysis becomes unrealistic. Include too many processes and it becomes hard to pin them down without vast amounts of data. The trick is to distil reality into key components: “As simple as possible, but no simpler,” as Einstein put it.

Dixon and Coles did this by focusing on three factors – attacking and defensive ability for each team, plus the fabled “home advantage”. With ever more datasets now available, betting syndicates and sports analytics firms are developing these ideas further, even including individual players in the analysis. This requires access to a great deal of computing power. Betting teams are hiring increasing numbers of science graduates, with statisticians putting together predictive models and computer scientists developing high-speed software.

But it’s not just betters who are turning to statistics. Many of the techniques are also making their way into sports management. Baseball led the way, with quantitative Moneyball tactics taking the Oakland Athletics to the play-offs in 2002 and 2003, but other sports are adopting scientific methods, too. Premier League football teams have gradually built up analytics departments in recent years, and all now employ statisticians. After winning the 2016 Masters, the golfer Danny Willett thanked the new analytics firm 15th Club, an offshoot of the football consultancy 21st Club.

Bringing statistics into sport has many advantages. First, we can test out common folklore. How big, say, is the “home advantage”? According to Ray Stefani, a sports researcher, it depends: rugby union teams, on average, are 25 per cent more likely to win than to lose at home. In NHL ice hockey, this advantage is only 10 per cent. Then there is the notion of “momentum”, often cited by pundits. Can a few good performances give a weaker team the boost it needs to keep winning? From baseball to football, numerous studies suggest it’s unlikely.

Statistical models can also help measure player quality. Teams typically examine past results before buying players, though it is future performances that count. What if a prospective signing had just enjoyed a few lucky games, or been propped up by talented team-mates? An ongoing challenge for analysts is to disentangle genuine skill from chance events. Some measurements are more useful than others. In many sports, scoring goals is subject to a greater degree of randomness than creating shots. When the ice hockey analyst Brian King used this information to identify the players in his local NHL squad who had profited most from sheer luck, he found that these were also the players being awarded new contracts.

Sometimes it’s not clear how a specific skill should be measured. Successful defenders – whether in British or American football – don’t always make a lot of tackles. Instead, they divert attacks by being in the right position. It is difficult to quantify this. When evaluating individual performances, it can be useful to estimate how well a team would have done without a particular player, which can produce surprising results.

The season before Gareth Bale moved from Tottenham Hotspur to Real Madrid for a record £85m in 2013, the sports consultancy Onside Analysis looked at which players were more important to the team: whose absence would cause most disruption? Although Bale was the clear star, it was actually the midfielder Moussa Dembélé who had the greatest impact on results.

As more data is made available, our ability to measure players and their overall performance will improve. Statistical models cannot capture everything. Not only would complete understanding of sport be dull – it would be impossible. Analytics groups know this and often employ experts to keep their models grounded in reality.

There will never be a magic formula that covers all aspects of human behaviour and psychology. However, for the analysts helping teams punch above their weight and the scientific betting syndicates taking on the bookmakers, this is not the aim. Rather, analytics is one more way to get an edge. In sport, as in betting, the best teams don’t get it right every time. But they know how to win more often than their opponents. 

Adam Kucharski is author of The Perfect Bet: How Science and Maths are Taking the Luck Out of Gambling (Profile Books)

This article first appeared in the 28 April 2016 issue of the New Statesman, The new fascism