Time to complicate things

If we stop trying to simplify our economic models, we can improve policy.

According to the increasingly influential school of complexity economics, decisions that at the "micro" level might seem rational, when they become manifest at the "macro" level produce outcomes that are detrimental to all. Several "rights" often combine to produce a "wrong". This can help to explain problems like why there is such an unequal distribution of wealth in many developed economies and why some regions remain depressed for long periods of time.

Neo-classical economics finds it difficult to account for such emergent problems because it is based on a framework of simple, bilateral exchanges between individuals (people and firms). It is forced to regard economy-wide problems as the result of some external disruption to the normal running of free bilateral exchange. As a result, it has failed to develop an adequate theory that makes a connection between individual decisions and developments in the aggregate economy.  

The new fields of complexity theory and network theory help us to understand the economy as a dynamic network, rather than as the static model of bilateral exchange, which underlies orthodox economics. With this new understanding, we can start to develop policy options that might respond more effectively to problems like inequality of wealth.  

Although the school of complexity economics and the idea of emergent phenomena are relatively new, the recognition of system-wide economic problems is clearly not. But, for a long time, most economic thinking has held that many of our fundamental challenges, such as inequality and climate issues, are the result of market failures and can only be solved by using the power of the state to correct any such failures.  

A complexity perspective suggests the state’s top-down bureaucracy cannot, as it currently operates, offer effective and sustainable solutions to emergent economic problems. The state's policy-making incorporates the idea that society acts like a machine that responds automatically to a stimulus (such as a tax cut) in the same way each time, in large part because mainstream economics has taken a very narrow view of human nature and interaction. This has been explored most recently by Paul Ormerod in his book, Positive Linking.

Complexity theory is based on the core observation that social systems are dynamic, evolving networks in which individual and collective behaviour can shift and change rapidly and unexpectedly. The fluidity of this system means attempts to control an economy by gathering data, making forecasts and developing policy will always be subject to a high risk of failure. Mechanistic approaches to policy can be extremely problematic, for at least four broad reasons:  

  1. Idiosyncrasies matter and it is a near impossibility for a centrally determined policy to remain sensitive to local circumstances.
  2. Remotely set targets can be inaccurate proxies for real aims.
  3. Network effects can drown out the very incentives that form the core of most policy responses.
  4. Incentives are often set as if people were selfish maximisers of their own utility - but this is very often untrue.  

The neoclassical approach is comforting in the sense it implies that following simple, easy to devise, mechanical policy rules can solve some problems. But it is misleading because the economy does not work in the way it suggests, which often leads to inappropriate policy ideas. With the complexity approach things are, roughly speaking, the other way around. It suggests policy responses to certain problems will be hard to draw up, and the right answer might be found only after experimentation, simulation, and pilot studies. But the policy formed as a result is more likely to be suited to the policy challenge.  

The new fields of complexity and network theory advocate building up an understanding of the real world from the ground up. In doing so, they paint a picture of the real world that is much more recognisable than the abstractions of neoclassical economics. As such, they have the potential to offer new approaches to seemingly intractable policy problems, and, because these approaches are inherently apolitical, they ought to be of interest to all political parties.

This is an edited extract of a chapter from IPPR’s forthcoming book, Complex New World: translating new economic thinking into public policy. For more see here.

A bifurcation diagram showing a common representation of chaos theory. Photograph: Wikimedia Commons

Adam Lent is the Director of Programmes at the RSA. Greg Fisher is the Managing Director of Synthesis.

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The Tinder dating app isn't just about sex – it's about friendship, too. And sex

The lines between sex, love and friendship are blurrier than ever, as I found out quickly while using the app.

The first time I met someone using Tinder, the free dating app that requires users to swipe left for “no” and right for “yes” before enabling new “matches” to chat, it was an unqualified success. I should probably qualify that. I was newly single after five years in a committed relationship and wasn’t looking for anything more than fun, friendship and, well, who knows. A few weeks earlier I had tried to give my number to a girl in a cinema café in Brixton. I wrote it on a postcard I’d been using as a bookmark. She said she had a boyfriend, but wanted to keep the postcard. I had no date and I lost my page.

My Tinder date was a master’s student from Valencia called Anna (her name wasn’t really Anna, of course, I’m not a sociopath). When I arrived at the appointed meeting place, she told me I was far more handsome IRL (“in real life”) than my pictures suggested. I was flattered and full of praise for the directness of continental Europeans but also thought sadly to myself: “If only the same could be said about you.”

Anna and I became friends, at least for a while. The date wasn’t a success in the traditional sense of leading us into a contract based on exclusivity, an accumulating cache of resentments and a mortgage, but it had put me back in the game (an appropriate metaphor – people speak regularly of “playing” with the app).

According to Sean Rad, the co-founder who launched Tinder in late 2012, the service was invented for people like me. “It was really a way to overcome my own problems,” he told the editor of Cosmopolitan at an event in London last month. “It was weird to me, to start a conversation [with a stranger]. Once I had an introduction I was fine, but it’s that first step. It’s difficult for a lot of people.” After just one outing, I’d learned two fundamental lessons about the world of online dating: pretty much everyone has at least one decent picture of themselves, and meeting women using a so-called hook-up app is seldom straightforwardly about sex.

Although sometimes it is. My second Tinder date took place in Vienna. I met Louisa (ditto, name) outside some notable church or other one evening while visiting on holiday (Tinder tourism being, in my view, a far more compelling way to get to know a place than a cumbersome Lonely Planet guide). We drank cocktails by the Danube and rambled across the city before making the romantic decision to stay awake all night, as she had to leave early the next day to go hiking with friends. It was just like the Richard Linklater movie Before Sunrise – something I said out loud more than a few times as the Aperol Spritzes took their toll.

When we met up in London a few months later, Louisa and I decided to skip the second part of Linklater’s beautiful triptych and fast-track our relationship straight to the third, Before Midnight, which takes place 18 years after the protagonists’ first meet in Vienna, and have begun to discover that they hate each others’ guts.

Which is one of the many hazards of the swiping life: unlike with older, web-based platforms such as Match.com or OkCupid, which require a substantial written profile, Tinder users know relatively little about their prospective mates. All that’s necessary is a Facebook account and a single photograph. University, occupation, a short bio and mutual Facebook “likes” are optional (my bio is made up entirely of emojis: the pizza slice, the dancing lady, the stack of books).

Worse still, you will see people you know on Tinder – that includes colleagues, neighbours and exes – and they will see you. Far more people swipe out of boredom or curiosity than are ever likely to want to meet up, in part because swiping is so brain-corrosively addictive.

While the company is cagey about its user data, we know that Tinder has been downloaded over 100 million times and has produced upwards of 11 billion matches – though the number of people who have made contact will be far lower. It may sound like a lot but the Tinder user-base remains stuck at around the 50 million mark: a self-selecting coterie of mainly urban, reasonably affluent, generally white men and women, mostly aged between 18 and 34.

A new generation of apps – such as Hey! Vina and Skout – is seeking to capitalise on Tinder’s reputation as a portal for sleaze, a charge Sean Rad was keen to deny at the London event. Tinder is working on a new iteration, Tinder Social, for groups of friends who want to hang out with other groups on a night out, rather than dating. This makes sense for a relatively fresh business determined to keep on growing: more people are in relationships than out of them, after all.

After two years of using Tinder, off and on, last weekend I deleted the app. I had been visiting a friend in Sweden, and took it pretty badly when a Tinder date invited me to a terrible nightclub, only to take a few looks at me and bolt without even bothering to fabricate an excuse. But on the plane back to London the next day, a strange thing happened. Before takeoff, the woman sitting beside me started crying. I assumed something bad had happened but she explained that she was terrified of flying. Almost as terrified, it turned out, as I am. We wound up holding hands through a horrific patch of mid-air turbulence, exchanged anecdotes to distract ourselves and even, when we were safely in sight of the ground, a kiss.

She’s in my phone, but as a contact on Facebook rather than an avatar on a dating app. I’ll probably never see her again but who knows. People connect in strange new ways all the time. The lines between sex, love and friendship are blurrier than ever, but you can be sure that if you look closely at the lines, you’ll almost certainly notice the pixels.

Philip Maughan is Assistant Editor at the New Statesman.

This article first appeared in the 26 May 2016 issue of the New Statesman, The Brexit odd squad