π― Motivation & Purpose
Outcomes
β’ Lower marginal gains from minimal vouches
β’ Scores better reflect real vouched ETH and commitment
β’ Acceleration from vouched ETH is slightly dampened
β’ Number-of-Vouchers impact now scales by backing quality, not raw count
βοΈ Specification
1οΈβ£ Vouched ETH Curve Hardening
β’ Element: Vouched Ethereum Impact (range [0 β 270])
β’ Inputs:
ββ ETH-days = amountETH Γ min(daysActive, 180)
ββ totalEthDays = sum across active vouches
β’ Parameters:
ββ accumulationMultiplier = 2.0
ββ pace = 45
ββ maxVouchedEthDays = 180 (unchanged)
β’ Mapping:
ββ effectiveEthDays = totalEthDays Γ· 2.0
ββ score = sigmoid(effectiveEthDays, pace = 45) β [0, 270]
β’ Effect:
ββ Slower early growth and delayed saturation β smaller gains from low, short vouches.
2οΈβ£ Voucher Ratio Sigmoid
β’ Element: Number of Vouchers Impact (range [0 β 270])
β’ Inputs:
ββ stakedEth = total active vouched ETH
ββ vouches = count of active vouches
ββ multiplier = population-calibrated ratio factor
βββ³ Rises when ETH-per-voucher is strong; falls when many vouches are weak.
β’ Parameters:
ββ pace = 25 (fast pace)
β’ Mapping:
ββ effectiveVouchers = vouches Γ multiplier
ββ score = sigmoid(effectiveVouchers, pace = 25) β [0, 270]
β’ Effect:
ββ Raw voucher count is tempered by economic substance β many weak vouches contribute less.
π§ Rationale
This is part of Ethosβ ongoing calibration cycle.
Vouched ETH and voucher mechanics will continue evolving as users find new ways to optimize reputation.
This adjustment reflects lessons learned over the past 9 months β it strengthens credibility integrity without penalizing genuine, high-conviction support.