Finding an appropiate manual weight

[Beanow]

One follow up thought I had on this came from today’s office hours where we were talking about using an additional parameter to boost early contributors, at least in terms CredSperiment dollar payout.

and later saw this

@decentralion

A concrete example

• I have a high school math teacher named Mrs. Leblanc who taught me calculus
• She was a really good teacher, made the subject quite engaging, and helped solidify my love of math
• In the current system, she gets paid based on the lowest price that some other qualified math teacher would be willing to receive (which is pretty low).
  • She’s paid based on her replacability, not on the value she creates
• In a cred-based system, she would now be earning some cred from all of the math-related work that I do
  • Which, since I’ve worked on TensorFlow, SourceCred, etc, should hopefully be some valuable cred
• the goal: a system that rewards people based on the value they create, rather than on what price they were able to negotiate, when framing their services as a transaction (employment)

In a sense, the way this is described is a retrospective evaluation. Partially thanks to the math teacher’s teaching, great math-related work was produced much later. Since that later work is valued, it reflects positively on the teacher.

That situation feels very similar to this commit and perhaps the value of early contributors in general eluded to in the office hours. Possibly I’m looking at this problem wrong and such a retrospective boosting trait is what I’m looking for.