As predictions are so important, Web2.0 provides a stage for key opinion leaders, analysts and self-claimed experts to position themselves as the best predictors in different domains. However, in Web2.0, there is no trustless way to track their prediction performance and no systematic way to reward them with monetary value accordingly. As a result, these opinion leaders and analysts have to rely on sponsored content and ads as revenue sources. The consequence of such model is that they are more likely to produce content that are biased (in the interests of their sponsors instead of their audience), vague statements that cannot be verified or exaggerated content that attracts eyeballs. In other words, the marketplace of prediction insights is broken. Users are not getting reliable information and insights on the internet and the predictors/analysts are not rewarded for their good insights. All these translate to real monetary losses via poor investment, betting, career planning and other forms of bad decisions.