Wonga are blinding critics with science

The payday loan company shows off about its algorithm, but lends to the same vulnerable people.

I read Michael Brooks' article, Doing Science the Wonga Way, with great interest.

I have had the algorithm Wonga uses to distinguish between applicants explained to me, and it is fascinating. It makes the most of the fact that the internet is replete with thousands of pieces of information about us that, in aggregate, paint a reasonable picture of who we are. More importantly for Wonga, they also paint a picture of how creditworthy we might be. It doesn't take this lightly: I've been told it uses 6-8000 data points about the each of the people it checks.

The problem was that I only had the algorithm explained to me after its accuracy was seriously put in to question.

Wonga has a weekly survey of people who they consider to be good customers, and they brag about them to journalists. When the Guardian's Amelia Gentleman interviewed Errol Damelin, the chief executive of Wonga, he and his team had a chance to show that their model worked. When they put names of potential customers through their high-tech filters, the system ought to tell them whether they would be good customers. They would then only lend if it would be responsible to. After all, Wonga says that it turns away two-thirds of applicants.

Rather than the "web-savvy young professionals" that the company says that it lends to, one of the "good customers" on their weekly survey was Susan, an unemployed former nurse dependent on disability benefits. She uses the loans she receives from Wonga to buy food when she is short of cash. In fact, at the time of the Guardian interview, she had taken out 6 loans with Wonga, nearly double the amount of payday loans the average customer takes out (3.5).

We have two options here. Either we can assume Wonga purposefully targets people who are not median income, employed and web-savvy, unlike what they say, or their algorithm doesn't work as well as they say.

In the same interview with the Guardian, John Morwood, Wonga's communications director, said:

Sometimes we will make loans to people on significant benefits, but it is not something we do very frequently. It is very infrequent. I’m not going to say it doesn’t happen.

Dr Brooks is correct to say that the company has enjoyed some fantastic and enviable funding from several organisations. Last time I looked, Wonga were the beneficiaries of £3.7m from Balderton Capital in 2007, £14m from Accel Partners (also investors in Facebook) in 2009, then £73m from Oak Investment Partners, Meritech Partners and the Wellcome Trust.

I can't be certain, but my assumption is that at least some of these backers are interested in Wonga as an example of good science put into action by business, and aren't particularly interested in funding legal loansharking.

But Wonga's algorithm clearly doesn't alter the fundamentals of their business as much as they claim. Even with their flashy, investor-attracting scientific background, they still lend to people whose custom they admit they ought not to take.

Wonga itself is either misusing its own system to justify lending to people who should be served by less expensive lenders such as credit unions (which I think payday lenders should be obliged to advertise to low-income customers), or its algorithm needs a lot more work than it says.

As it stands, if the system confuses repeat borrowers who are unemployed and on benefits to buy food for people who are middle class, have bank accounts, are in full time employment and need the cash for minor financial shocks here and there, then there is a major issue.

Photograph: Getty Images

Carl Packman is a writer, researcher and blogger. He is the author of the forthcoming book Loan Sharks to be released by Searching Finance. He has previously published in the Guardian, Tribune Magazine, The Philosopher's Magazine and the International Journal for Žižek Studies.

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This Ada Lovelace Day, let’s celebrate women in tech while confronting its sexist culture

In an industry where men hold most of the jobs and write most of the code, celebrating women's contributions on one day a year isn't enough. 

Ada Lovelace wrote the world’s first computer program. In the 1840s Charles Babbage, now known as the “father of the computer”, designed (though never built) the “Analytical Engine”, a machine which could accurately and reproducibly calculate the answers to maths problems. While translating an article by an Italian mathematician about the machine, Lovelace included a written algorithm for which would allow the engine to calculate a sequence of Bernoulli numbers.

Around 170 years later, Whitney Wolfe, one of the founders of dating app Tinder, was allegedly forced to resign from the company. According to a lawsuit she later filed against the app and its parent company, she had her co-founder title removed because, the male founders argued, it would look “slutty”, and because “Facebook and Snapchat don’t have girl founders. It just makes it look like Tinder was some accident". (They settled out of court.)

Today, 13 October, is Ada Lovelace day – an international celebration of inspirational women in science, technology, engineering and mathematics (STEM). It’s lucky we have this day of remembrance, because, as Wolfe’s story demonstrates, we also spend a lot of time forgetting and sidelining women in tech. In the wash of pale male founders of the tech giants that rule the industry,we don't often think about the women that shaped its foundations: Judith Estrin, one of the designers of TCP/IP, for example, or Radia Perlman, inventor of the spanning-tree protocol. Both inventions sound complicated, and they are – they’re some of the vital building blocks that allow the internet to function. 

And yet David Streitfield, a Pulitzer-prize winning journalist, someow felt it accurate to write in 2012: “Men invented the internet. And not just any men. Men with pocket protectors. Men who idolised Mr Spock and cried when Steve Jobs died.”

Perhaps we forget about tech's founding women because the needle has swung so far into the other direction. A huge proportion – perhaps even 90 per cent - of the world’s code is written by men. At Google, women fill 17 per cent of technical roles. At Facebook, 15 per cent. Over 90 per cent of the code respositories on Github, an online service used throughout the industry, are owned by men. Yet it's also hard to believe that this erasure of women's role in tech is completely accidental. As Elissa Shevinsky writes in the introduction to a collection of essays on gender in tech, Lean Out: “This myth of the nerdy male founder has been perpetuated by men who found this story favourable."

Does it matter? It’s hard to believe that it doesn’t. Our society is increasingly defined and delineated by code and the things it builds. Small slip-ups, like the lack of a period tracker on the original Apple Watch, or fitness trackers too big for some women’s wrists, gesture to the fact that these technologies are built by male-dominated teams, for a male audience.

In Lean Out, one essay written by a Twitter-based “start-up dinosaur” (don’t ask) explains how dangerous it is to allow one small segment of society to built the future for the rest of us:

If you let someone else build tomorrow, tomorrow will belong to someone else. They will build a better tomorrow for everyone like them… For tomorrow to be for everyone, everyone needs to be the one [sic] that build it.

So where did all the women go? How did we get from a rash of female inventors to a situation where the major female presence at an Apple iPhone launch is a model’s face projected onto a screen and photoshopped into a smile by a male demonstrator? 

Photo: Apple.

The toxic culture of many tech workplaces could be a cause or an effect of the lack of women in the industry, but it certainly can’t make make it easy to stay. Behaviours range from the ignorant - Martha Lane-Fox, founder of, often asked “what happens if you get pregnant?” at investors' meetings - to the much more sinister. An essay in Lean Out by Katy Levinson details her experiences of sexual harassment while working in tech: 

I have had interviewers attempt to solicit sexual favors from me mid-interview and discuss in significant detail precisely what they would like to do. All of these things have happened either in Silicon Valley working in tech, in an educational institution to get me there, or in a technical internship.

Others featured in the book joined in with the low-level sexism and racism  of their male colleagues in order to "fit in" and deflect negative attention. Erica Joy writes that while working in IT at the University of Alaska as the only woman (and only black person) on her team, she laughed at colleagues' "terribly racist and sexist jokes" and "co-opted their negative attitudes”. 

The casual culture and allegedly meritocratic hierarchies of tech companies may actually be encouraging this discriminatory atmosphere. HR and the strict reporting procedures of large corporates at least give those suffering from discrimination a place to go. A casual office environment can discourage reporting or calling out prejudiced humour or remarks. Brook Shelley, a woman who transitioned while working in tech, notes: "No one wants to be the office mother". So instead, you join in and hope for the best. 

And, of course, there's no reason why people working in tech would have fewer issues with discrimination than those in other industries. A childhood spent as a "nerd" can also spawn its own brand of misogyny - Katherine Cross writes in Lean Out that “to many of these men [working in these fields] is all too easy to subconciously confound women who say ‘this is sexist’ with the young girls who said… ‘You’re gross and a creep and I’ll never date you'". During GamerGate, Anita Sarkeesian was often called a "prom queen" by trolls. 

When I spoke to Alexa Clay, entrepreneur and co-author of the Misfit Economy, she confirmed that there's a strange, low-lurking sexism in the start-up economy: “They have all very open and free, but underneath it there's still something really patriarchal.” Start-ups, after all, are a culture which celebrates risk-taking, something which women are societally discouraged from doing. As Clay says, 

“Men are allowed to fail in tech. You have these young guys who these old guys adopt and mentor. If his app doesn’t work, the mentor just shrugs it off. I would not be able ot get away with that, and I think women and minorities aren't allowed to take the same amount of risks, particularly in these communities. If you fail, no one's saying that's fine.

The conclusion of Lean Out, and of women in tech I have spoken to, isn’t that more women, over time, will enter these industries and seamlessly integrate – it’s that tech culture needs to change, or its lack of diversity will become even more severe. Shevinsky writes:

The reason why we don't have more women in tech is not because of a lack of STEM education. It's because too many high profile and influential individuals and subcultures within the tech industry have ignored or outright mistreated women applicants and employees. To be succinct—the problem isn't women, it's tech culture.

Software engineer Kate Heddleston has a wonderful and chilling metaphor about the way we treat women in STEM. Women are, she writes, the “canary in the coal mine”. If one dies, surely you should take that as a sign that the mine is uninhabitable – that there’s something toxic in the air. “Instead, the industry is looking at the canary, wondering why it can’t breathe, saying ‘Lean in, canary, lean in!’. When one canary dies they get a new one because getting more canaries is how you fix the lack of canaries, right? Except the problem is that there isn't enough oxygen in the coal mine, not that there are too few canaries.” We need more women in STEM, and, I’d argue, in tech in particular, but we need to make sure the air is breatheable first. 

Barbara Speed is a technology and digital culture writer at the New Statesman and a staff writer at CityMetric.