Round-off Error? Hardly!
As pop economists go, Tim Harford is pretty good. His The Undercover Economist is a decent read. His Dear Economist column in the Weekend Financial Times can be quite clever–except when it’s not.
The source of irritation? The cloying glibness of Harford’s response to a simple but important question about voluntary contributions to the Internet. So he dismissively writes:
J. K. Rowling’s books attract thousands of reviews on Amazon.com. Yet the overwhelming majority of her readers–more than 999 in every thousand–don’t bother to post a review. Frankly, if 0.1 per cent of people make unrewarded contributions to the internet, that’s just a rounding error away from nobody at all. Economists love efficiency, and it is not very efficient to produce an explanation of behaviour that hardly anyone engages in.
As Glenn Reynolds likes to say, you should read the whole thing. However, what we have here is bad analysis and worse math–the sort of bad analysis and quantitative peabrainedness that annihilates rather than promotes economic awareness and understanding. Let’s start with the math: treating .1 percent of people as a “rounding error” may make economic sense if they don’t do anything of substance or significance. But if they actually create and add value to your network and/or your business, you might be wiser to treat that magnificent tenth of a percent as an “outlier” to be nurtured rather than a statistical aberration to be ignored. Indeed, as Mr. Harford well knows, 10 percent of a thousand is larger than 90 percent of a hundred. If we have–and we do!–Net enterprises with tens of millions of users, then that measly-looking .1 percent can be misleadingly robust. One-tenth of a percent of a million is a thousand, and, of course, .1 percent of 10 million = 10,000. That’s quite a workforce. But why grant Tim his self-serving assumptions? I cheerfully argue that as a “culture of contribution” and creative volunteerism facilitates a vibrant innovation marketplace, that tenth of a percent might really be closer to seven-tenths of a percent or even 1 percent. Again, it’s not the volume of contributors that matters; it’s the value of their contributions. Isn’t that what economics is supposed to be about? Hence my dismay with and dismissal of our Undercover Economist’s “analysis.” The simple truth is that we can look at any industry–automobiles, semiconductors, telecoms–and find only a tiny fraction of “entrepreneurs” who are making real contributions. Now, I’m not for a moment suggesting that folks who volunteer their videos on Youtube or comments on Amazon or story preferences on Digg are entrepreneurs in the Schumpertarian or Hayekian sense. The (obvious) profit motive is absent. However, the community/audience/marketplace clearly sees some value in these contributions–as do the undeniably entrepreneurial hosts. The spirit–and seduction–of “increasing returns” suggests that literally tens of thousands of people will be making value-added contributions to these arenas and that, yes, noncontributing consumers will also extract some value from them. In other words, Harford’s “rounding error” assertion is a bit like saying, “You know those tiny little things that huge trees have called seeds? Well, they’re so small and lightweight, they don’t really matter. I mean, they’re not even one-tenth of one percent the size or weight of the tree….” Just as bad botanical understanding can wipe out forests and biodiversity, poor economic analysis can wipe out value and its creation. The truth is that we’re just beginning to grasp the underlying behavioral economics of “open source” and “cooperative” innovation economies. Dismissing what we don’t understand as “round-off error” makes poor punditry and worse economics.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
ChatGPT is going to change education, not destroy it
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.