A New Way To Interact With Media

Since we learn about the world at least partially through our understanding of current events, any attempt to predict the future should be contextualized, among other things, by the currently-available relevant information describing its subject matter.

Hypothesis’ system should not evaluate the ability of an individual to predict the future in a vacuum, rather it should perform that evaluation specifically within the context of the information an individual leverages to arrive at their wager. The implication of this method of evaluation is that the information could itself be evaluated based on the extent to which it factored into an individual’s ability to make a correct prediction.

By allowing users to create and share what they believe to be information that is relevant to a possible future outcome of a prediction, Hypothesis keeps from predicating its own trustworthiness on the editorial discretion that would be required in centralizing content creation or distribution. Instead of a traditional news aggregator, newspaper or social media platform delivering the day’s news, Hypothesis’ method of aggregation is driven entirely by goal-oriented user input. If you believe a given question’s sources of context are lacking a particular perspective, you are encouraged to add to the list by creating your own content or sharing from elsewhere. Regular use of the app should make a user feel that they are fully informed about the topics most relevant to a given day without feeling fatigued.

Hypothesis is not simply building new methods of evaluating both information and the awareness of its consumers, it is forging a new, more constructive relationship between them, where the value of information is assessed based on its usefulness to those who consume it and not just on its ability to capture attention, boost popularity or change minds.