Comics Review: Adamtine by Hannah Berry

Hannah Berry's horror story succeeds in doing something seemingly impossible: providing shocks in a comic.

Adamtine
Hannah Berry
Jonathan Cape, 104pp, £14.99

Horror is notoriously tricky to do in comics. The medium occupies an unhappy midpoint between film and prose, inheriting many of the weaknesses — when it comes to frights — from each, and few of the benefits.

The visual aspect often tempts writers to follow filmic routes to fear: shocks and violence abound, and slasher comics are almost as common as slasher flicks. The problem is obvious. No matter how skilled the author is, the reader controls the passage of time in a comic book. A shock can only come as fast as the turn of a page, and nothing can ever really jump out at you.

At the other side of things, though, comics don't rely nearly so much on your imagination as prose does. The scariest things are the unseen; but a comic full of the unseen is frequently just a lot of talking heads. It might succeed in inspiring fear, but it's not using the medium to its full potential.

That's one reason why body horror gets such a strong showing in comics. It succeeds in unsettling, rather than shocking, and is one of the styles where the longer you look at the page, the more upsetting it gets. Jeff Lemire and Travel Foreman's Animal Man, or Si Spurrier and Javier Barreno's Crossed: Wish You Were Here (a very NSFW comic, that one) trap the eye on distended monstrosities, which you can't quite turn away from; while Brian Michael Bendis and Michael Gaydos' Alias arc "Purple" and Neal Gaiman and Mike Dringenberg's "24 Hours" in Sandman both presented stories of control and submission in ways which left me uneasy for weeks.

Adamtine can be seen as an attempt to do horror in a more traditional way, while using the quirks of the medium to ratchet up the fear. The mission statement, of sorts, is there on the cover: train tracks disappearing into the darkness, and then, at the very top, in black varnish on a black background, a sunken face peering out. The whole book is filled with motifs like that: hidden images, themes and plot elements which combine to, hopefully, trigger that part of your subconscious which warns you that something is deeply wrong.

The book opens in the aftermath of the disappearance of Rodney Moon, "The Postman", accused of being a serial killer whose modus operandi was to deliver notes to his victims describing some minor reason for their disappearance. Moon denied being the killer, but admitted to passing on the notes for the real culprit — a "bogeyman", with no name.

Four people, seemingly unconnected to each other and to the events involving Moon, are on a train out of London. But the train breaks down, and then the passengers disappear, leaving the four alone to face… something.

The plot has a structure similar to the sort of thing early Christopher Nolan films were known for. What seems like an incredibly complicated, multi-layered and time-jumping story comes together at the end in a way which makes you feel smart for being able to put it together into a linear narrative. You aren't that smart; it's just well-written. But try to ignore that fact.

There is a second layer to the book, one which rewards a further read-through, and that's the layer of references and hidden symbols. Adamtine clearly has an entire second narrative hidden away — the one the book opens after the conclusion of — and it's possible to discern a surprising amount of what happened through careful reading.

It's also possible to find, dotted throughout, more skull faces like those on the cover; and sly nods to earlier or upcoming events. This only goes so far though. While compelling, it also encourages a tendency to treat the book like a narrative version of Where's Wally; to overlook the forest because you're too busy trying to count all the trees.

Where the hidden images excel is in doing something seemingly impossible: providing shocks in a comic. As the creeping unease of the book unfolds, suddenly realising that the page you have been staring at for a couple of minutes has been staring back at you is a very unsettling feeling.

Oh, and one last thing: if you travel by overground rail, don't read this until the summer. Finding yourself on a train in the dark after finishing it is not a pleasant experience.

Alex Hern is a technology reporter for the Guardian. He was formerly staff writer at the New Statesman. You should follow Alex on Twitter.

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