diff --git a/CIP-Liesenfelt-Shelleys_Voltaire_decentralization_update/README.md b/CIP-Liesenfelt-Shelleys_Voltaire_decentralization_update/README.md index 13cd2c1ef..7462f1998 100644 --- a/CIP-Liesenfelt-Shelleys_Voltaire_decentralization_update/README.md +++ b/CIP-Liesenfelt-Shelleys_Voltaire_decentralization_update/README.md @@ -86,13 +86,13 @@ The Cardano network currently produces ~21,600 blocks per epoch with ~2400 group $Ref (1)$
- +
-![Figure 1](k-effective.png) +![Figure 1](images/k-effective.png) Figure 1. Historical k-effective from epoch 245 to present. -![Figure 2](k-effective-table.png) +![Figure 2](images/k-effective-table.png) Figure 2. K-effective table. ## The Intent of (a0,k) @@ -114,12 +114,12 @@ The analysis of the current reward formula in [4] equated 1 pool to 1 entity. In From “4.1 Our RSS construction” of “Reward Sharing Schemes for Stake Pools” [5] the current rewards equation is: $ Ref(2) $ -![Equations Set 2](equation2.png) +![Equations Set 2](images/equation2.png) where: - + A natural choice is $β = 1/k$, where $k$ is the target number of pools, and $k,α$ are fixed parameters. @@ -131,51 +131,51 @@ $α = a0 = 0.3$ The $a0$ parameter represents the fraction of the rewards $(R/(1+a0))$ which are not paid out unless all of the stake is pledged. An $a0$ of 0.3 ensures that **1.0 - 1.0/(1.0+0.3) = 23% of the total rewards R will be withheld from low pledge fraction pools and returned to the reserve**. The effect of this formula is that increased pledge results in retaining more of the available rewards R. However, this benefit is not linear, rather it is drastically biased towards the saturation limit. The $\sigma’ = min\\{σ,β\\}$ term enforces a reward limit based on $k$. Visualizing the resulting field of outcomes at various pledge amounts from 0.00% to 100.0% is necessary. The red dotted line “Max Reward” represents the maximum available yield available at the stated network size. - + ## If the minimum fee is 30 - + ## If the minimum fee is 0 - + ## If a0 is increased to 0.5 - + ## If a0 is increased to 1.0 - + ## If a0 is increased to 10.0 - + ## If a0 is decreased to 0.2 - + ## If a0 is decreased to 0.1 - + ## If a0 is decreased to 0.0 - + ## If a0 is decreased to 0.0 and minFee = 0 - + ## If minFee is increaesd to 1000 - + ## If minFee is increaesd to 2000 - + ## The Reality of (a0,k) @@ -185,7 +185,7 @@ Another important determinant of the ability for small pools to compete with lar Billions of ADA is currently staked in pools with nearly 0 pledge and extremely high leverage. Also, a billion ADA is currently pledged in nearly saturated private pools closed to community delegation. There are very few public pools accepting community delegation with pledge amounts between 5M₳ and 60M₳ and the vast majority of public pools have less than 1M₳ pledge. The following bubble chart shows the distribution of stake as a function of group leverage on a log(Stake) vs log(Leverage) scale. The current pledge incentive mechanism only becomes relevant in a small segment of this chart below a leverage of 10 and above a pledge amount of 10M₳. The Single Pool Operator Alliance (SPA) is a collective of ~2200 individual pools and pool operators with a collective stake of 5B₳ at an average leverage factor of only 22. - + In the original design, parameter $a0$ represented the influence the operator’s pledge had on the desirability of the pool. In other words, more pledge should mean the pool would be more desirable for stake delegation. However the current reward formula has not produced this effect. See Figure 2. With increasing pledge as a proportion of total stake there is little noticeable effect on rewards until very high pledge percentages. These very high pledge percentages are not attainable except by extremely large stakeholders. Furthermore having such a high pledge percentage would defeat the purpose of community staking since the pool would already be saturated when the maximum pledge benefit is earned. @@ -228,7 +228,7 @@ Large differences between k-parameter and the k-effective of the network represe The proposed reward retains the function of $k$ for limiting rewards based on stake and introduces parameter $L$ for enforcing reward limits based on pledge leverage. The equation equally balances both reward parameters. The pledge leverage parameter $L$ is intended to range from 10,000.0 down to 1.0. An $L$ value of 100.0 would require pools to pledge 1.0% of stake and an $L$ of 1.0 would require all pools to be 100.0% pledged.- +
The new equation is computationally simple and purposefully does not use logarithms, exponents, or geometric curves. Instead of an incentive based tradeoff between egalitarian rewards and a perceived Sybil resilience the new equation enforces both egalitarian rewards and pledge-based Sybil resilience. A simple flat egalitarian yield ceiling with pledge leverage enforcement for Sybil defense has a profound psychological effect: Stakeholders know there is no way to game the system for yield, either individually or collectively with governance, and pledge is absolutely mandatory. Without any engineered bias Cardano decentralization would converge to the diversity of the underlying community, services, and stakeholder distribution. If this proposal is eventually adopted changes in community diversity, not changes in a formula or parameters, would change decentralization. @@ -246,15 +246,15 @@ The new $L$ parameter will range from 10,000.0 to 1.0. The initial value of the The proposed reward formula should be visualized on a linear(yield) vs log(saturation) scale independent of $k$. The chart below shows the field of possible outcomes for various levels of pledge and stake spanning more than 3 orders of magnitude. The effect of $L$ becomes obvious, pool saturation will be limited first by pledge amount and then eventually by $k$. A very important feature of this relationship is that 0₳ pledge will always result in 0₳ rewards. At $L=100.0$ to support a 100.0% saturated stake pool 1.0% pledge will be required. - + ## The new reward equation without a minimum fee - + ## The new reward equation zone - + ## The yield ceiling @@ -362,7 +362,7 @@ For each equation in consideration the average (and variation) of the nakamoto c ### Proposed Unbiased Egalitarian Leverage Limiting Equation: - + - with $k = 150$ and $L = 50$ - with $k = 150$ and $L = 100$ @@ -374,11 +374,11 @@ For each equation in consideration the average (and variation) of the nakamoto c - with $k = 1000$ and $L = 100$ - with $k = 1000$ and $L = 1000$ - + ### Current RSS Equation Form: - + - with $k = 150$ and $a0 = 0.0$ - with $k = 500$ and $a0 = 0.0$ @@ -390,24 +390,35 @@ For each equation in consideration the average (and variation) of the nakamoto c - with $k = 500$ and $a0 = 0.6$ - with $k = 1000$ and $a0 = 0.6$ -### CIP-7 Equation Form: +### CIP-7 Equation Form -(incomplete) - + -- with $k = 150$ and $a0 = 0.0$ -- with $k = 500$ and $a0 = 0.0$ -- with $k = 1000$ and $a0 = 0.0$ -- with $k = 150$ and $a0 = 0.3$ -- with $k = 500$ and $a0 = 0.3$ -- with $k = 1000$ and $a0 = 0.3$ -- with $k = 150$ and $a0 = 0.6$ -- with $k = 500$ and $a0 = 0.6$ -- with $k = 1000$ and $a0 = 0.6$ +Where equations and independent variables to test are: +- Eq (1) CIP-7 Rewards: Legacy rewards equation with n-root curved pledge benefit +- Eq (2) Repurposed lambda_alt_prime, and legacy sigma_prime +- Eq (3) Lambda_alt: N-root curve pledge benefit +- Eq (4) Crossover: An expression called crossover represents the point where the new curve crosses the line of the original curve, and the benefit in the new and original equations is identical. + - The crossover_factor is a divisor of saturation that calculates the pledge where the curve crosses the line. crossover_factor > 1. +- Eq (5) Curve_root: The n-root curve exponent used in Eq 2 to alter the rewards. 1 = linear, 2 = square root, 3 = cube root, etc. + +And the recommended testing permutations are: + + For crossover in crossover_factor range [10,20,50]: + For n in curved_root range [2,3,4]: + - with $k = 150$ and $a0 = 0.0$ + - with $k = 500$ and $a0 = 0.0$ + - with $k = 1000$ and $a0 = 0.0$ + - with $k = 150$ and $a0 = 0.3$ + - with $k = 500$ and $a0 = 0.3$ + - with $k = 1000$ and $a0 = 0.3$ + - with $k = 150$ and $a0 = 0.6$ + - with $k = 500$ and $a0 = 0.6$ + - with $k = 1000$ and $a0 = 0.6$ ### Linearly Biased Variation with a Leverage Limit: - + - with $k = 150$, $bias=0.05$, and $L = 50$ - with $k = 150$, $bias=0.05$, and $L = 100$ @@ -419,7 +430,7 @@ For each equation in consideration the average (and variation) of the nakamoto c - with $k = 1000$, $bias=0.05$, and $L = 100$ - with $k = 1000$, $bias=0.05$, and $L = 1000$ - + ### Linearly Biased Variation with a Diminishing Leverage Limit: @@ -435,6 +446,30 @@ For each equation in consideration the average (and variation) of the nakamoto c - with $k = 1000$, $bias=0.05$, and $L = 100$ - with $k = 1000$, $bias=0.05$, and $L = 1000$ +### Mahmoud Nimer Ada Link Pool Pledge to Network Pledge Reward Equation + +Mahmoud Nimer's proposed reward equation presented in the [Ada Link's Stakepool Pledge Influence in Stake Rewards Distribution Paper](https://github.com/ADA-Link/Papers/blob/main/Stakepool%20Pledge%20Influence%20in%20Stake%20Rewards%20Distribution.pdf) seeks to compare pool pledge to total network pool pledge, and reward pool pledge growth relative to stake pool size growth. + + + +Where: +* Eq (1) The Nimer Rewards Equation +* Eq (2) s_hat_primt: The pledge saturation equation +* Eq (3) s_hat: Pool pledge / Total Network Pool Pledge + +And the recommended testing permutations are: + +- with $k = 150$ and $a0 = 0.0$ +- with $k = 500$ and $a0 = 0.0$ +- with $k = 1000$ and $a0 = 0.0$ +- with $k = 150$ and $a0 = 0.3$ +- with $k = 500$ and $a0 = 0.3$ +- with $k = 1000$ and $a0 = 0.3$ +- with $k = 150$ and $a0 = 0.6$ +- with $k = 500$ and $a0 = 0.6$ +- with $k = 1000$ and $a0 = 0.6$ + + # Backwards compatibility Implementation will occur in two distinct phases with the first phase being only parameter changes requiring no hard fork. During this first phase any changes will be reversible. 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