Short description
Developing a mathematical model for the distribution of reward in contests, based on the rating of proposals. Model will be honest, fair, and resistant to “harmful” behavior.
Type
Contest
Dates
Starts: 1 December, 2020 at 01:00 PM UTC, Ends: 15 December, 2020 at 24:00 PM UTC
Problematic
One of the main problems is that when creating a competition, it is also necessary to come up with a law for the distribution of prize money fund between the participants, and for this it is necessary to predict the expected number of participants, as well as to assume the quality of their work. But since this is a “prediction”, it is always wrong a little(or a lot).
An example is even this contest, where in the discussion several times the question arose in what proportion to divide the prize fund between the participants, due to the fact that different people have different predictions about the number and quality of future proposals.
With the introduction of such mathematic model, system will allow you to select only the prize fund, and the prize money will be divided among the participants fairly, based on their proposlal ratings.
It will also make the system more automated and less subjective, which is certainly necessary in order to be as decentralized as possible, and to exclude all possible sources of potential corruption.
Motivation
For building a viable meritocratic society requires a fair and blind reward distribution model
To avoid unfair distribution of tokens, which may be unfairly small (as was the case in the sticker contest) or possible unfairly large.
Free Ton member @india writes:
currently contest prize distributions are just like a lottery prizes results discouraging average users to participate in contests .
So we need a more fair model for prize distribution so that total prize fund can be distributed among more users. Free TON community’s main motto is also to achieve decentralization in a more distributed way.
And also for better accuracy in awarding participants.
To be able to avoid the following situations:
- The difference in ratings between the participants is less than 0.1 and the reward differs by 2 times (or even more)
- One good proposal, and the rest of the participants submitted outright spam and received an award commensurate with the real winner.
And also the judges who vote last do not feel their influence on the distribution of winners, the new model should also prevent this moment.
General requirements:
Build a mathematical model for the distribution of rewards among participants, based on the ratings of their proposals
model input:
*the amount of money allocated for the contest
*rating of each of the proposal
model output:
*awards for every proposal
Evaluation criteria and winning conditions:
- Should be easy to understand.
- Explanation in text why it is good
- 3 examples with screenshots from Excel
-Normal case
-Proposals rating close to each other
-Good proposals and spammers - Contact Information
Jury rewards:
An amount equal to 5% of the sum total of all total tokens actually awarded will be distributed equally between all jurors who vote and provide feedback. Both voting and feedback are mandatory in order to collect the reward.
Rewards:
1st prize…………………………15,000 Tons
2nd prize……………………….12,000 Tons
3rd prize………………………. 8,000 Tons
Next 7 runners up…………. 1500 Tons each
All proposals will receive juror feedback.
Or as an experiment, we can conduct the reward according to the winning model. While this is somewhat risky, it is fun and provides data on the applicability of the model.
I propose to make the prize fund equal to 50,000 if this method of reward will be chosen
Disclaimer:
Anyone can participate, but Free TON cannot distribute Tons to US citizens or US entities.ons to US citizens or US entities.
