How much games criticism does anyone need?

Videogame writer Ed Stern argues that "video games as a medium are not going to gain cultural legitimacy or worth through the attention of critics or theorists - it's going to be because the games are good".

My piece about games criticism - and the paucity of it in mainstream media - generated a lot of response (not all of it angry! result!). In the next few days, I'll be bringing you a rebuttal to the piece from a journalist who is trying to broaden the practice. But, in the meantime, games writer Ed Stern - who works for Splash Damage - agreed that I could share his full response to my question: "How can we have a better cultural conversation about games?" 

Ed, and I'm going to be making him blush now, is one of the most thoughtful and well-read gentlemen I've encountered, and it cheers me enormously that he's chosen to write videogames. Even if he is, as you will discover, a touch pessimistic about making them "mean" anything.

- Helen 

"Cultural criticism about games? Much more pressing for me is the need for better popular consumer journalism: we need regular game review segments in mass readership papers and on primetime (if that’s still a thing) so parents who haven’t grown up playing games know what to let their children play. There’s a limit to the size and number of age rating labels we can put on the front of the box. And increasingly, with digital distribution, there’s no box to stick warning labels on.

As for the hoitier, toitier end of things, I think games get about as much respect as they deserve, possibly too much. Games are continually being enlisted under the banner of Art. It would be nice to see their craft more appreciated, but once you’ve built an academic/critical mill, I suppose you need to keep finding new texts to feed into it (or it’s just the same texts fed in at different angles).

We need more actual, factual journalism, more deep reporting. But the games industry is even more risky (and risk-averse) than movies, has increasing numbers of plates to spin and is consequently ever-less willing to let light in back where the laws and sausages and games get made, so good luck with that.

I think the indie experimental stuff is now much easier for the general gamership/readership to try because so much of it can be found and played in a browser window or on a mobile phone. Maybe this will lead to a greater interest in the craft of design, balance and implementation, but then I’m probably abnormally interested in the production/design process of things and don’t care about theory.

Games-as-texts don’t often read as book-clever. Most of them, particularly the “AAA” big release titles, aren’t about things, or ideas, or themes in a way that repays the sort of critical attention that’s brought to other media. Games aren’t as good at authored narrative or subtext as they are at providing players with virtual adventure playgrounds for developing and demonstrating mastery. What games really excel at is being as forges for anecdote. It’s that combination of sandbox, ruleset and toolkit that lets players make their own stories through trial-and-error interaction. The force of these stories usually comes from oddness or irony rather than significance; often they revolve around the player’s actions gloriously defeating, evading or supplanting the authored significance of the game’s Text-with-a-capital-T.

I suspect it’s currently easy for the book-literate to find everything fascinating about games other than the games themselves. Culturally, sociologically, technologically, in terms of gender and race and sexual and generational politics, they’re a fascinating prism through which to view issues of cultural politics of gender, race, class, generational change, narrative and play. They just tend not to mean very much in themselves because it’s just spectacularly, trudgingly hard to make games mean things, not least because the big ones are made by so many different pairs of hands that any potential significance gets dissipated or inadvertently contradicted by something else in the game.

Why critical significance should be so much harder for games than any other collaborative medium like movies or TV, I’m not sure. Perhaps we’re just not as good at designing organisations to make things. Brilliant work is being done on a smaller scale in the experimental art house circuit that is the indie sector, but in terms of “AAA” Hollywood games, just getting the damn things finished on-time and on-budget and fun and sufficiently functional to not fall over is hard enough. Making them significant as well is something few developers seem to even get to attempt. After all, it’s not just making a new film to show in the same cinema, it’s reinventing the camera, the film stock, the projector, the screen, the seats and, increasingly, the popcorn and hotdogs too. Perhaps it’s not surprising there’s so much noise along with whatever signal we’re trying to author in or analyse out.

So what would improve criticism? Well, for a subject so under the academic microscope, we’re light on terminology: we call a ridiculously, meaninglessly broad number of things “game”. Then again we don’t have that many genre terms to describe movies, but we seem to do OK with the ones we have. Maybe we should commit the same fiction as movies: pretend that one mind makes them, and lionise lead game designers as we do directors (while feeling smug when we know the names of the cinematographer, editor and screenwriter too).

I don’t think commercial interests are holding much back, they just make it harder for general non-identified-as-Gamer readers to distinguish between the different genres and markets of game writing. The more antic academic criticism effectively secludes itself, and the informed readers do a good job of finding their own preferred sources (and there’s some tremendous writing about games out there). It’s the non-hardcore civilian readers who have to find their own way through the churnalised marketing copy, the sober consumer reviews, the New Games Journalism-inflected meditations, the frantic fansite blurbs and the comments threads. Oh lord, the comments threads.

What would more, better games criticism look like? We’ve had millennia of books, and writing and thinking about books, which then got adapted to include film, and TV. We’ve only had about three decades of games, and writing about games, we’ve had fan writing that grew up, and critical theory that shifted its gaze over to what the kids were doing, and game-playing kids who got into books and books about books, and there still seem to be as many differences from what went before as similarities. Why would more or better games criticism look like the writing about other media?

Also, how much games criticism does anyone need? Or rather, how many people need any? Perhaps we already have enough. Most people who buy games aren’t particularly interested in critical thinking about games, any more than moviegoers are close readers of film, or downloaders are fascinated by music criticism. They like the sound it makes in their lives, but they don’t have to know how it works, or what it tells them about themselves. Most people like movies, but they want memories and making-of anecdotes and blooper reel gaffs to trade with their friends, they don’t want to spend a day on set, or a week in edit. Maybe we already have all the game criticism there's any actual demand for.

The video game as a medium is not going to gain cultural legitimacy or worth through the attention of critics or theorists, it's going to be because the games are good. Or, you know, by reducing the attention span of anyone who might otherwise read a book or see a play or look at a painting. Kidding. I hope. I look forward to being wrong about all of this."

Find Ed on Twitter: @edstern

Journey, for the PlayStation 3.

Helen Lewis is deputy editor of the New Statesman. She has presented BBC Radio 4’s Week in Westminster and is a regular panellist on BBC1’s Sunday Politics.

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