Because we hang out with smart people like our Chief Scientist Robin Hanson, we’re sometimes inspired to read scholarly publications relevant to our work. Earlier this year, a Masters Thesis came out of Erasmus School of Economics with an intriguing title: “The Relevancy of Group Expertise for the Accuracy of a Prediction Market.” Danielle Almeida’s prose hooked us from the first page…
First of all, Almeida provides a pithy description of prediction markets:
A prediction market is a futures market in which a large group of people can express their opinion about the out coming of a certain event by buying shares from the answer that – according to the participant – is most likely to be correct. Prediction markets are increasingly implemented in enterprise environments.
The author then makes a list that reminds us of our own list of dos and don’ts:
- Invite as many participants as possible to the company’s prediction market: there is no relevance with regard to the accuracy of the out coming of the prediction market.
- In general, employees that have more knowledge on the subject need less explanation why you want them to participate. Also, more knowledgeable employees are more likely to keep participating when related questions are asked consecutive. This means that non-experts might need an extra stimulation to participate.
- Be aware of the ‘contradictory effect of the prediction market’ that might occur when non-experts are involved. It seems that they have different approaches to come to their decisions. While experts merely buy the shares of the answer they believe is most likely to be right, some non-experts tend to play a more strategic game.
You’ve been hearing us talk about the efficacy of prediction markets for a while, but what we offer is much more than just a platform. We know the platform, and we know how to make it effective in the enterprise. Which is why we offer extensive consultative services, from implementation through monitoring and management.
Finally, we hate spoilers, but we’re going to go ahead and give away the ending because we can’t help it:
Based on this research, we would like to recommend all companies to consider implementing a prediction market to support their decision making process in case predictions are a necessary part of the decision making process. We have proven with this research that – based on several data – a group of experts is not capable of making significant better predictions than non-experts.
Especially companies that have hired expensive experts to make forecasts about future events – such as turnover and product innovation – can save a lot of money, by just asking employees, suppliers and customers to make these forecasts for them. Even on a larger scale than previously researched, experts do not outperform non- experts significantly when using a prediction market to forecast.
If you’re an executive who needs better forecasting guidance, you don’t need an expert; you need experts in implementing prediction markets like Foresight. Our expert advice: call us.
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