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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UnHerd's rejection of the new isn't as groundbreaking as it seems to think

Tim Montgomerie's new venture has some promise, but it's trying to solve an old problem.

Information overload is oft-cited as one of the main drawbacks of the modern age. There is simply too much to take in, especially when it comes to news. Hourly radio bulletins, rolling news channels and the constant stream of updates available from the internet – there is just more than any one person can consume. 

Luckily Tim Montgomerie, the founder of ConservativeHome and former Times comment editor, is here to help. Montgomerie is launching UnHerd, a new media venture that promises to pull back and focus on "the important things rather than the latest things". 

According to Montgomerie the site has a "package of investment", at least some of which comes from Paul Marshall. He is co-founder of one of Europe's largest hedge funds, Marshall Wace, formerly a longstanding Lib Dem, and also one of the main backers and chair of Ark Schools, an academy chain. The money behind the project is on display in UnHerd's swish (if slightly overwhelming) site, Google ads promoting the homepage, and article commissions worth up to $5,000. The selection of articles at launch includes an entertaining piece by Lionel Shriver on being a "news-aholic", though currently most of the bylines belong to Montgomerie himself. 

Guidelines for contributors, also meant to reflect the site's "values", contain some sensible advice. This includes breaking down ideas into bullet points, thinking about who is likely to read and promote articles, and footnoting facts. 

The guidelines also suggest focusing on what people will "still want to read in six, 12 or 24 months" and that will "be of interest to someone in Cincinnati or Perth as well as Vancouver or St Petersburg and Cape Town and Edinburgh" – though it's not quite clear how one of Montgomerie's early contributions, a defence of George Osborne's editorship of the Evening Standard, quite fits that global criteria. I'm sure it has nothing to do with the full page comment piece Montgomerie got in Osborne's paper to bemoan the deficiencies of modern media on the day UnHerd launched. 

UnHerd's mascot  – a cow – has also created some confusion, compounded by another line in the writing tips describing it as "a cow, who like our target readers, tends to avoid herds and behave in unmissable ways as a result". At least Montgomerie only picked the second-most famous poster animal for herding behaviour. It could have been a sheep. In any case, the line has since disappeared from the post – suggesting the zoological inadequacy of the metaphor may have been recognised. 

There is one way in which UnHerd perfectly embodies its stated aim of avoiding the new – the idea that we need to address the frenetic nature of modern news has been around for years.

"Slow news" – a more considered approach to what's going on in the world that takes in the bigger picture – has been talked about since at least the beginning of this decade.

In fact, it's been around so long that it has become positively mainstream. That pusher of rolling coverage the BBC has been talking about using slow news to counteract fake news, and Montgomerie's old employers, the Times decided last year to move to publishing digital editions at set points during the day, rather than constantly updating as stories break. Even the Guardian – which has most enthusiastically embraced the crack-cocaine of rolling web coverage, the live blog – also publishes regular long reads taking a deep dive into a weighty subject. 

UnHerd may well find an audience particularly attuned to its approach and values. It intends to introduce paid services – an especially good idea given the perverse incentives to chase traffic that come with relying on digital advertising. The ethos it is pitching may well help persuade people to pay, and I don't doubt Montgomerie will be able to find good writers who will deal with big ideas in interesting ways. 

But the idea UnHerd is offering a groundbreaking solution to information overload is faintly ludicrous. There are plenty of ways for people to disengage from the news cycle – and plenty of sources of information and good writing that allow people to do it while staying informed. It's just that given so many opportunities to stay up to date with what has just happened, few people decide they would rather not know.