At the Proms: Stockhausen and Wagner

Jeffrey Skidmore and Daniel Barenboim rise to the formidable challenge of staging Stockhausen and Wagner at The Proms.

Prom 11 – Stockhausen (Jeffrey Skidmore)
Prom 15 –Wagner (Daniel Barenboim)
Royal Albert Hall, London SW7
 
As musical ghouls-under-the-bed go, it doesn’t get scarier than Wagner (too long) and Stockhausen (too complicated). Yet if ever there’s been a time to face those fears, it was last month at the BBC Proms. Music-making of exceptional, ecstatic virtuosity made urgent what is too often academic, dissolving terrors and challenging us to find difficulty amid so much joy.
 
There’s an elegant symmetry in how Wagner’s Ring and Stockhausen’s Licht have ended up in dialogue at this year’s Proms. Both monumental opera cycles, composed over almost 30 years, span the gamut of human experience and emotion, not to mention many hours. The Proms are a festival made for larger-than-life works. Even as the Royal Albert Hall’s acoustics can so bafflingly defeat a musical classic, they can also amplify a problem piece, generating a spatial drama that can’t be matched anywhere else.
 
This was certainly true of Stockhausen’s “Gesang der Jünglinge” on 19 July. An early foray into electronic music, the work was projected (rather than performed) from a mixing desk at the centre of the hall by the composer’s protégée Kathinka Pasveer, while the stage remained empty. To make the stolid, Victorian hulk of this venue disquieting is almost impossible, but as the ghostly sound of choristers from Cologne Cathedral, recorded in the 1950s, echoed from empty galleries all around us, the sense of the uncanny was palpable in the physical vibrations of the speakers set up around the hall to transmit Stockhausen’s soundscape. Immersed in the voices of trebles who are no longer boys, we felt a dated technological exercise become something altogether richer.
 
This was just the warm-up for “Welt-Parlament” – the opening scene of Mittwoch, one of the seven operas that make up Licht. Last year, it was performed complete with actual helicopters and camels (each opera has a web of associated symbols, including elements – air, in this case – and animals) in Birmingham. The extract staged at the Royal Albert Hall maintained its energy in concert.
 
In a high tower, a UN-type assembly debated the nature of love in surreal, often deliberately incomprehensible fashion. The excellent Ex Cathedra choir’s voices, divorced from humanity by the use of microphones, did battle with the hollow babble of metro - nomes. The sound was less about melody or harmony than it was a woven texture, through which moments of lyricism occasionally burst (the tenors’ odd paean to love, a solo soprano’s pirouetting coloratura). It was music at the edge of its definition but, under Jeffrey Skidmore’s understated direction, the choir and soloists found both beauty and wit among the abstraction.
 
There is nothing abstract about Wagner’s Ring cycle, an epic folk narrative spread across four nights of opera. The composer’s concept of Gesamtkunstwerk (“total art”) is in direct conflict with a semi-staging such as Justin Way’s but, with this cast, the drama’s all in the music.
 
Whatever his weaknesses, Daniel Barenboim is among the finest living Wagnerians. With a hand-picked cast and the Staats - kapelle Berlin orchestra, he is perhaps the finest. At the performance of Die Walküre on 23 July, the orchestra’s strings swelled thickly and its brass had a sheen, even at fortissimo, to rival the glint of the Nibelungen gold. Barenboim paced their arcs of emotion with absolute mastery, allowing momentum to build as Sieglinde (Anja Kampe) and Siegmund (Simon O’Neill) tumbled forwards into their incestuous love and pulling back during the tender conflict between Bryn Terfel’s Wotan and his daughter Brünnhilde (Nina Stemme),whom he must condemn to the flames.
 
Terfel, Kampe and Eric Halfvarson (as the warrior Hunding) all found humanity in a tale that can too easily remain distant among the gods – but the night was Stemme’s. Bounding onstage with her terrifying “Hojo- to-ho”, this was a Valkyrie who needed no winged helmet to announce her identity. The echo of her battle cry will linger long after the Proms season has ended – a whoop of triumph at having vanquished so many musical demons.
It doesn't get much scarier than Wagner and Stockhausen. Photograph: BBC Pictures.

Alexandra Coghlan is the New Statesman's classical music critic.

This article first appeared in the 12 August 2013 issue of the New Statesman, What if JFK had lived?

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