I'm sick of hearing female comics censoring themselves - jokes are weapons to be used in battle

On how I went to a all-female comedy night raising funds for women's charities - and it was awkward, but needn't have been.

Nothing kills an orgasm as effectively as the obligation to have one. It's the same with laughter. While this problem affects many women, it’s particularly an issue for female comics who perform at women’s-charity fundraisers. Speaking as an audience member, it’s a drag to experience flop sweat on somebody else’s behalf and have to fake the expected response in order to help the project along. The empathy neuroreceptors are too far from the mirth ones, perhaps, and too dependent on an algorithm of surprise and suffering: hence the many YouTube videos of cats falling off things and toddlers inadvertently whacking people in the balls. 

In the past couple of weeks I attended two standup nights benefitting women’s charities. I cringed as comics wandered uncertainly through their sets, combing their material for feminist-charity-appropriateness, unsure how to sell them except by consensus. Worse, to segue from “dating is hard” material into “seriously though, donate at the door because the number of women getting beaten up is terrible” puts the onus on the audience in too direct a way. It’s unfair. We've already spent 20 quid at the door for the cause. We’re here in the seats to laugh, not to watch comedians be virtuous and careful. Let’s start with the assumption that we’re in consensus about domestic violence and genital mutilation and go from there, not cap a bad set with a sobering reminder. Puts a new spin on the term “punchline,” I suppose.

But am I being mean? Why criticise? Why not celebrate all or any women saying anything? It's because comedy has corners, has criteria, is brutal. And because the stakes have escalated for feminist comics since the comedysphere took a turn towards the outright rapey, so we’ve got to be on our game. In the last year or so — let’s pretend for a second that Daniel Tosh’s nightclub gaffe marked the beginning of something — the lowest common denominator peanut gallery schtick sank from “are women funny?” all the way to: 

Knock knock.

Who’s there?

Rape joke!

Rape joke wh-

STOP TRYING TO CENSOR ME OR I’LL KILL YOU, YOU FAT BITCH!

I’m paraphrasing, of course.

We (we being feminist comics and writers across the gender spectrum - I'm a failed comic myself, having hacked away at it for eight years in New York) have to do more than disapprove of this state of affairs, and do better than merely to address the outrage. Journalists and thinkers like Lindy West and Anita Sarkeesian have put themselves in harm’s way, and are using the weapons at their disposal to do battle. This is crucial work.

The work of a comic performer, though, is both less constrained by conventions of discourse, and more constrained by desirable outcome. Though they’re both sharp and witty, Anita Sarkeesian and Lindy West don’t have to make people laugh. Abi Roberts, Sara Pascoe, and Mary Bourke do. Because it’s their job. It’s their job, though, because they have untoward and bizarre impulses they seem to barely constrain, which makes them dangerous and hilarious and the very opposite of consensus comedy. I don’t actually know whether any of the three “self-identify as feminist”, as the saying goes, but they’re getting the job done.

The most gripping and consequently funniest performers illustrate the disconnect between lame, “I’m ready for my sitcom, Mr Demiille” club comedy antics, and the raw but relatable originality that answers to your own experience. To refine this rawness just enough to let the audience know you can handle it, is the witchcraft. I’m not going to spoil a these comics’ material, which I saw them perform at the aforementioned comedy fundraisers. However:

Take Abi Roberts.

Abi Roberts: A Laugh (photo credit: Abiroberts.com)

Schtick arsenal: Employs classical training in music and theater, a sly and unapologetic knowledge of vaudevillean tricks, and a preternatural comfort with herself onstage.

Attack style: She feels unstoppable, triumphant. She bounds onstage, robust, already laughing, nimbus of blond hair aswirl, genuinely happy to be there – it’s the rest of life that’s almost unbearable - and takes down target after target, rapidfire, infectious. Expectations of the female body, the pornnlike fantasy of the cooking show, the depredations of shapewear. She’s a master of self-deprecation but doesn’t hinge on it; she doesn’t posit herself as an object of desire (which is cute at best, and usually a stupefying bore) but in having for-real, bodily sex. 

Deadly weapon: She has a very graphic bit about her iPod being on shuffle, and she kills with it.

Sara Pascoe.

Sara Pascoe: Fever to tell (image credit Edinburgh Fringe Festival Guide, 2012)

Schtick arsenal: The shocking art of seemingly boundless personal revelation.

Attack style: Where Roberts has unapologetic gusto, Pascoe has a mien of slight ambivalence to her obsessive personal confessions. She’s skinny, wide-eyed, and slightly hesitant. But her physical subtext, all semi-shrugs and minutia, her wide eyes widening, her girlish voice barely above a whisper, heightens our intimacy. Our guard down, she regales us with some of the weirdest preoccupations this side of Maria Bamford, an American comic who likewise flirts with discomfort, making you laugh not just in ticklish discomfort, but at the audacity it takes to make self-consciousness funny.

Deadly weapon: Her scorching rumination on the forbidden desires of the hair salon.

Mary Bourke.

Don't be fooled. (Photo vredit; Edinburgh Fringe Guide, 2012)

Schtick arsenal: Precision and lyricism, which sounds unlikely, but...

Attack style: She is nothing short of terrifying. A slender, smiling lady with eye-grazing blunt bangs, dressed in a floral-print dress and chic but sensible shoes, she looks for all the world like she might teach third grade or run an arts programme in a hospital for the aged. And her voice, a gentle, brogue-burnished alto, signals nothing untoward; she said onstage that her stage presence is “like being menaced by a fine mist.” Yet she slays you; she’s attuned not only to her own rage, but to consonant rhythm, image density and tonal escalation. She’s so absorbed in her own surefootedness that your laughter is both incidental, and effortless. She doesn’t ask you, she makes you.

Deadly weapon: Her attack on mummy blog culture, the refrain of which is “Am I Being Unreasonable?” This, obviously, is no consensus-building gambit; there’s little sisterly comradeship in skewering motherhood. Bourke sets up as backdrop a message board populated at midnight by complaining, privileged mummies. She pushes this caricature to its Swiftian logical conclusion, then soars into a bizarre St. Crispin’s Day battlefield oath of startling hyperviolence, leaving me and the rest of the audience gasping for breath.  

The female comics who most interest me are indecorous, and have a touch of the monstrous about them. And the ones I find hard to maintain attention to are the ones who seem in subliminal, unexamined crisis about whether or not they're good enough, pretty enough, or have the right to be there. If you have that anxiety — we all do — bring it out, mess with it, tread on it. Rape jokes arise and flourish from a desperate, anguished, castration fantasy/terror. They attempt to shift that terror onto women, which is not only loathsome, but boring. 

It’s in going deeper and darker, taking fierce joy in the uncouth, not capitulating to the terror nor to the bona fides of virtuous doctrine, that we have the last laugh.

Sarah Silverman on stage at a fundraised for AmeriCares after Hurricane Katrina - but do comedy and charity mix? Photograph: Getty Images.
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