Michael Landy's Saints Alive: Bloody carnage brought to life and mechanised

When he was made associate artist at the National Gallery in 2009, Michael Landy tried his best to get to know the gallery's collection. He kept coming back to the same image: St Catherine and her wheel. In a new exhibition of collages, sketches and large

St Apollonia was a 3rd century Egyptian who had all her teeth knocked out. She was burned alive for refusing to sacrifice to the gods of Rome and is the patron saint of dentists and those with toothache. The saint for Biblical scholarship is St Jerome, who lived as a hermit in the Syrian desert, striking his chest with a rock. St Catherine was a bookish child from Alexandria, who held her own against fifty pagan scholars sent to debate with her by Emperor Maximus in 305. Enraged, Maximus ordered that the scholars be burned alive and Catherine torn apart on a spiked wheel. When she touched the instrument of her destruction, the wheel exploded and splinters flew into the assembled mob. She was immediately beheaded and her body was carried to Mount Sinai by angels. St Catherine is among the many saints who have sprung to life at the National Gallery’s new exhibition Saints Alive: a junk shop assortment of limbs, cogs and torture devices devised by “Young British Artist” Michael Landy.

To many these stories are obscure. Landy himself was unfamiliar with most of them when he became the eighth Roostein Hopkins Associate Artist at the National back in 2009. He walked around the galleries daydreaming, writing again and again in his notebook: St Catherine’s wheel, St Catherine’s wheel.

Landy is best known for his 2001 performance Break Down, in which he gathered all of his possessions in an empty branch of C&A on Oxford Street. He catalogued the 7,227 items (everything from his birth certificate, clothes and furniture, to former art works and his car), then systematically destroyed them all. Upon entry to the exhibition, St Appollonia towers above the crowd like a paper mache float. She rocks back and forth and grabs loudly at her mouth with a pair of pliers. It's fun, if a little gimmicky. Around the room are hung huge collages, sketches and plans. Sections of saints’ bodies have been abstracted from Italian Renaissance masterpieces (“It’s the closest I’ll get to cutting up the collection,” Landy says) and spring from the floor like pious jacks in the box. In the corner St Francis levitates in beggarly humility, asking for donations. When you put a coin in the slot, he bangs his forehead with a crucifix. They should put one outside Maria Miller’s office.

If the portraits felt a little like the blueprint for some kind of religious steampunk factory, the adjoining space is the factory itself. Landy has taken inspiration from 60s and 70s kinetic art in the vein of swiss sculptor Jean Tingley and created larger-than-life sized models that wind themselves up and spring to life. A pedal on the floor causes St Jerome to batter his chest with a stone. The noise echoes around the usually quiet gallery. A large spiked wheel of fortune is connected to a handle which visitors are encouraged to spin. The huge disc creaks to a halt, landing on gnomic messages etched in gold: “Reject everything and take refuge in the Lord Jesus Christ”, “Marry a Roman emperor or submit to excruciating torture and die”, “Angels will soothe your wounds”.

In winding up and letting go we become one of the mob. Manipulating the work of art in an age of mechanical reproduction, the machines flagellate themselves ad infinitum. “Doubting” Thomas’s hand rams into Christ’s side. A machete slices through the scalp of Peter Martyr. When I visited at the weekend, two of the saints had hammered themselves into submission, literally. Pieces of A4 paper had been sellotaped to Ss Thomas and Francis: “Not currently operational. We apologise for any inconvenience caused.”

The accompanying film presents Landy as a kind of Holy Innocent, playing with the collection, stroking a dog. He came to the gallery and was moved, provoked and confused by the depictions of saints in glorious works by the Italian Renaissance artists Crivelli, Botticelli, Pintoricchio and El Greco. The destructive aspect appealed to him. He does not believe there is any spiritual element to the work - though this assumes that spirituality is only an ethereal, non-corporeal impulse. The bloody carnage wreaked on canvas by the Renaissance masters is brought to life and mechanised in Saint’s Alive. The sculptures are loud and as dangerous as industrial machinery. Though the exhibition is a little slight and relies upon montage - building on an established tradition rather than creating ex nihilo - it will have been a worthwhile experiment for the Gallery if it manages to funnel the tourists out of Trafalgar Square and into the corridors behind.

Saints Alive! Michael Landy at the National Gallery. All images copyright: National Gallery.

Philip Maughan is Assistant Editor at the New Statesman.

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