Crowdsourcing Spread vs. Margin of Victory

This is a follow up to our post on how crowdsourcing scores can work. In that post, we talked about how who-picked-whom is a crude metric of crowdsourcing predictions, but it’s main gap is that it doesn’t provide margin of victory to determine a more accurate crowdsourced prediction. As a result, even if the majority thinks that…… Continue reading Crowdsourcing Spread vs. Margin of Victory

How Can Crowdsourcing Scores Work?

One of the earliest forms of pushback that we received regarding the idea of crowdsourcing game scores was simply that there would not be enough expertise available to predict accurately. “There are too many variables.” “No one will every have enough information.” “You’ll never get it right.” To be honest, when we heard such gut-reaction pushback, it…… Continue reading How Can Crowdsourcing Scores Work?