The hyperlogue collaboration process economizes attention (the most precious resource of any collaboration), provides validation ( a benefit that is often neglected in social networks) and rewards merit (in a logically-fair manner) in order to integrate the collective wisdom of any crowd.
A hyperlogue (which is short for hyper-tangential group dialogue) is a new and elegant solution to the challenge of conducting mass collaboration. As its name implies, the hyperlogue process exploits the natural tendency of large group conversation to fragment into smaller different dimensions or tangents of dialogue and turns that into a part of the process
The breakthrough in its design is the use of iterative comparative sampling to reduce the effort needed by both initiators and individual participants to quickly connect, communicate, deliberate and reach consensus for any subject matter. It also removes the limitations commonly associated with conducting group brainstorming sessions (maximum number of participants, maximum number of allowable submissions, attention spans of participants, etc.). To the end users, this new methodology turns group brainstorming into an engaging collaborative experience.
Each participant receives a unique pair of anonymous insights from other participants to evaluate and score against each other.
This evaluation process is repeated multiple times, with a new pair of insights being sent to every participant for review after each match.
Participants have the chance to accumulate points called mindshares each time a fellow participant anonymously evaluates their anonymously presented content (called their insight). It is important to note here that participants of a hyperlogue do not choose which insights they will evaluate and score, nor how many they will evaluate during the course of a hyperlogue. Instead, a sorting algorithm called CHASM creates unique pairs of insights which are randomly sent to other participants for evaluation. For each evaluation pairing, 100 mindshares are given to the evaluator for distributed between the two insights as they see fit. Therefore, the evaluator could choose to distribute all 100 mindshares to one insight and zero to another, or any combination in between (50/50, 65/35, etc.). In addition to mindshare distribution, participants also has the option to add anonymous feedback to each insight they evaluate, which will be viewable to the participant who submitted it.This paired evaluation process is repeated multiple times for each participant and their insights until the system can create a relational ranking matrix (called an ideogram) for every insight, which then completes the hyperlogue.
For hyperlogues that do offer financial rewards through participation (money, cryptocurrency, privileges, access, etc.), individual payouts are determined by the total accumulated mindshares they received for their submission versus the total amount of mindshares distributed in a hyperlogue, prorated with the same percentage as the total amount crowdfunded by the initiator and/or their participants. This means that there’s never a "single winner" in terms of accumulating mindshare or receiving payouts. Instead, there would be a bell curve distribution across the entire population of participants.
The most surprising feature of a hyperlogue is that it can used for price discovery for each individual insight in a set of insights, regardless of the number or content involved. This makes the hyperlogue methodology a novel solution for bringing the metaphor of “the universal marketplace of ideas” into functional reality. The opportunities for such a service are as big as the collective ingenuity of its users.