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I like this very much, thank you for bringing it up. Take a look at Fabriq [1; PDF], trying to accomplish similar in a blockchain context. I especially like the work you put into explicating the implied respect issue.

What are your thoughts modeling respect not just as a unitary quality (still highly useful for quick, ad hoc, high-level evaluation), but also along crowd-created and crowd-defined axes? Then people can refine their description of respect and for example, say they agree with one crowd-group's definition of "good manager" for a specific person, but at the same time that person is not respected as another crowd-group's definition of a "good leader".

Gaming reputation systems over extended time periods and via aliased entities is a perennial problem. What are your thoughts on random latencies before respect scoring is evaluated on new respect data for an entity, securely tying a hash based upon fully-sequenced DNA to real-person accounts, interaction of entities in a specific context (someone might be respected as a great athlete, considered toxic in one of the companies they own, but respected in a different company), and tracking corporate aliasing (through mergers, acquisitions, spin-offs, name changes, etc.)?

[1] http://www.ourfabriq.com/fabriqwhitepaper_v20150520.pdf




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