Comedy and offence: a reader

From Anne Frank's drum kit to PC gone mad, the best articles on this knotty cultural debate.

With the Ricky Gervais debate rumbling away (see Steven Baxter's take here), it seems that the question of comedy and "offence" is a perenially fascinating one. I interview quite a lot of comedians and comedy writers -- fittingly, because they are one of the few groups of celebrities willing to say something "risky" (ie interesting) -- and the subject inevitably comes up.

Reginald D Hunter puts his approach this way: "With comedy, you can talk about anything you like. The deftness lies in how you talk about it. If a joke moves you, then work backwards and find a way to say it to uptight people who want to hear it but don't have the nerve to admit it."

Graham Linehan has a similar belief, admitting that he relishes finding ways to tackle taboo subjects (such as the cannibal murderer). "These days, I think: "If the person I was making fun of contacted me, would I be able to defend it?" If the answer is yes, I go ahead. If the answer is no, I ask myself if I like the person. If the answer to that is no, I go ahead," he says."

Russell Howard's way of looking at the subject is perhaps the simplest: "The test I always like to do is: would I do that in front of the person? If I wouldn't, I won't say it."

I thought I'd collect some of the best articles I've read on the subject:

1. David Mitchell and Hitler

Mitchell's is hardly the first name you'd think of when drawing up a list of offensive comedians, but he had a spot of bother over suggesting that the last entry in Anne Frank's diary read: "It's my birthday and dad bought me a drum kit."

He recently wrote a superb article about the ban on doing mock-Hitler salutes next to a waxwork of the dictator in Madame Tussauds, noting: "There are always evil, oppressive forces at work on any society but they'll be found wanting in guile if they come at us goose-stepping and shouting "Sieg Heil!" for a second time. The only thing that could make that seem attractive or worth following, even to an idiot, is if it were banned."

2. Richard Herring vs Ricky Gervais

Herring is hardly prudish (I watched one of his stand-up routines that included a long digression on whether Jesus might have used his stigmata for, er, bedroom purposes), but he's firmly in the anti-Gervais/mong-is-just-a-word-now camp. On his blog, he writes that disablist words "do equate with those racial and homophobic epithets that are rarely heard these days. They do confirm the stereotype of disabled people and contribute to their further isolation in a world that already tries to pretend they don't exist."

3. Jimmy Carr and the amputees

Carr regularly pushes the boundaries, and recently got in trouble over a 9/11 joke on Twitter. But in 2009, he got Daily Mailed for this joke: ""Say what you like about these servicemen amputees from Iraq and Afghanistan, but we're going to have a fucking good Paralympic team in 2012." Bruce Dessau defends him in the Guardian here and David Mitchell (yes, him again) does so here.

Mitchell writes: "The media are so hungry for stories about how offensive we are and so quick to call for us to be banned from channels or resign that it's tempting to play it safe, to surrender to the prevailing tone of judgmental solemnity."

4. James Ward vs Ricky Gervais

Fight funny with funny. Here, James Ward spins off a superb riff about "reclaiming" the word Gervais. "Even with the most generous of explanations (that he is somehow challenging our attitude to disability), he comes across like a clumsy, clueless, insensitive prick. There is a word for someone who engages in this sort of behaviour online, that word is "troll". I suggest a new word: "Gervais". He can't object, after all, it has a new meaning now."

5. Stewart Lee and political correctness

As one of the writers of Jerry Springer: The Opera, Lee has been on both sides of the offence debate. Unsurprisingly, his contributions on the subject are appropriately nuanced. Here, he defends Borat, The Office and the "comedy of shock, bad taste and outrage", while in his stand-up set, he argues in favour of "political correctness".

 

I'll add more as I think of them (there's a Louis CK routine that I'd like to hunt down). In case you're interested, my own view is closest to that expressed by David Mitchell -- you can joke about any subject; it's the target of the joke that matters. I went to see Frankie Boyle's live show when he was on Mock The Week, and enjoyed it, but after his joke on Tramadol Nights about Katie Price's son Harvey, I thought: "I don't want to give you any more of my money." And that's how we vote on comedy -- with our wallets and our remote controls.

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