Valve's former economist says Steam could produce 'better macroeconomic forecasts' than Goldman Sachs with the power of crowdsourcing and brownie points
Steam's dominance of digital PC game sales is fearsome. In a 2021 survey, more than a quarter of game dev studios reported that they make over 50% of their yearly revenue from Steam sales. Despite its successes, however, Valve's former economist says the company could've been even more terrifyingly powerful.
Before a stint as Greece's finance minister, Yanis Varoufakis worked with Valve as its economist in residence, studying the player economies emerging from the exchange of in-game commodities like TF2 hats. In an interview with Aftermath, Varoufakis said that, by never shifting its sights from games, Valve failed to follow its true calling: macroeconomic forecasting.
Varoufakis's primary work at Valve, he says, was monitoring the stability of player markets. By studying how those economies functioned, he informed Valve's monetization strategy to avoid the potential mayhem of an unregulated player aftermarket, which he told Aftermath could've led «to substantial financial losses for a lot of people.» But, Varoufakis said, the economic picture that he'd pieced together was left with untapped potential.
As Varoufakis tells it, he had worked at Valve on how to use the platform to build a kind of gamified prediction market, to crowdsource and, ideally, refine economic forecasts. The Steam user base formed an economy that, in turn, was interconnected with and informed by a number of external economies. «You could use these 100 million people that interacted there in order to essentially improve upon the predictions of economic forecasters on the American economies, the global economies, interest rates, growth rates, and so on,» Varoufakis said.
As an example, Varoufakis imagined a game where you might get «brownie points or credit points if you predict next month's inflation rate more accurately than the Fed.» While Varoufakis doesn't specify in the interview, you can pretty quickly imagine how that might've contributed to a reputation system where contributors with
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