Reward Schedule

Quantitative Analysis of Token Distribution

f(w) is the number of tokens distributed in week w;
μ is the mean of the distribution, set at 130 week, this will coincide with the peek around year 3;
w is the week number

Balanced Rewards for Early Adopters

It's important to note that while the distribution curve starts off low initially, early adopters have the opportunity to stake fragments ahead of time. This strategy enables them to capitalize early on tokens that will be issued in years 2 and 3, potentially simplifying the process of accumulating tokens.

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Last updated 7 months ago

f(w) is the number of tokens distributed in week w;
μ is the mean of the distribution, set at 130 week, this will coincide with the peek around year 3;
$σ$ is the standard deviation, set at 52 weeks, this is the spread or dispersion of the distribution. A smaller σ would give us a steeper peak;
w is the week number

Balanced Rewards for Early Adopters

$σ$ is the standard deviation, set at 52 weeks, this is the spread or dispersion of the distribution. A smaller σ would give us a steeper peak;