Studying for Exceptionalism

Caustic modern American politics has arisen in the new metaverse of communications technologies. Everyone has an opinion and shares it. This perhaps leads to pervasive unhappiness with any kind of governance. There’s always something to bitch about because real change is both hard and always has winners and losers of some sort. But what do the happiest countries in the world do differently than those of us in the second and lower tiers? Worth reading is the seventh chapter of the World Happiness Report titled “The Nordic Exceptionalism.” Finland, Denmark, Sweden, Iceland, and Norway are all at the top, along with Switzerland, New Zealand, and Austria. And what do these countries do right that makes them so exceptional in terms of happiness? Well, it’s not due to some of the suggested culprits like low immigrant rates and cultural uniformity or high rates of suicide culling out the unhappy. It’s also not clearly due to lower levels of income inequality compared with peer countries. The effect of inequality on happiness appears to correlate with GDP per capita and is reduced in impact by the presence of a generous welfare state; it contributes but is not central.

Instead, important factors include trust in social institutions and low rates of corruption. People in these countries also feel freer than in peer countries, including the United States. Their overall life satisfaction levels are very high and have much lower variation within the populace than countries like ours, as well. Part of the sense of freedom may arise from the generosity of the welfare states by reducing the risk of exploring life options, which is also a side-effect of wealth in these countries.

A dive into potential root causes reveals some surprises, like:

Another important underlying factor might have been mass education.

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Inequality and Big Data Revolutions

industrial-revolutionsI had some interesting new talking points in my Rock Stars of Big Data talk this week. On the same day, MIT Technology Review published Technology and Inequality by David Rotman that surveys the link between a growing wealth divide and technological change. Part of my motivating argument for Big Data is that intelligent systems are likely the next industrial revolution via Paul Krugman of Nobel Prize and New York Times fame. Krugman builds on Robert Gordon’s analysis of past industrial revolutions that reached some dire conclusions about slowing economic growth in America. The consequences of intelligent systems on everyday life will have enormous impact and will disrupt everything from low-wage workers through to knowledge workers. And how does Big Data lead to that disruption?

Krugman’s optimism was built on the presumption that the brittleness of intelligent systems so far can be overcome by more and more data. There are some examples where we are seeing incremental improvements due to data volumes. For instance, having larger sample corpora to use for modeling spoken language enhances automatic speech recognition. Google Translate builds on work that I had the privilege to be involved with in the 1990s that used “parallel texts” (essentially line-by-line translations) to build automatic translation systems based on phrasal lookup. The more examples of how things are translated, the better the system gets. But what else improves with Big Data? Maybe instrumenting many cars and crowdsourcing driving behaviors through city streets would provide the best data-driven approach to self-driving cars. Maybe instrumenting individuals will help us overcome some of things we do effortlessly that are strangely difficult to automate like folding towels and understanding complex visual scenes.

But regardless of the methods, the consequences need to be considered.… Read the rest