Precision ≠ Governance: Getting eUSD Yield Payouts Right

To avoid tangents, this post sets aside ongoing debates on eUSD strategy and process.

Recent weeks have sparked discussion on maximizing yield payouts for eUSD, often relying on rough napkin math and static screenshots. I’ve been guilty of this too.

The linked file provides a granular, transparent dataset with inspectable formulas, welcoming your critique or improvement proposals.

Here is what you will see when you open the file, and scroll rightward:

  • eUSD supply data pulled from Register for 365 days, 9/1/2024 to 8/31/2025
  • An analysis on payout precision depending on cadence for the following:
    • Table 1 - Daily Yield “BASELINE”
    • Table 2 - BiWeekly Yield (Avg)
    • Table 3 - BiWeekly Yield (End) - CURRENT
    • Table 4 - Monthly Yield (Avg)
    • Table 5 - Monthly Yield (End)
    • Table 6 - Quarterly Yield (Avg)
    • Table 7 - Quarterly Yield (End)
    • Table 8 - Summary Analysis - START HERE :magnifying_glass_tilted_left:

TLDR:

  1. Daily yield baseline is most precise, like banks calculating interest at day-end.
  2. Out of scope but notable: block-by-block yield is possible onchain.
  3. Any cadence other than daily risks over/underpaying due to smoothed volatility and shifting balances.
  4. Surprise: In this eUSD year-long dataset, monthly (avg) and quarterly (avg) calculations pay more precisely than Biweekly End (current process), but difference is an immaterial $556 (0.05% of yield payout yearly).
  5. If the goal is to pay Fintechs with maximum precision, yield should be calculated daily—or even by block. This doesn’t need to follow governance cadence, only correct math.

How you can help:

  • Inspect the spreadsheet formulas. Fork it, test it, flag errors.
  • How could we work smarter on precision, not harder? what are the best ways to automate precise yield calculation in short term vs long term? leave your comments below.
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Interesting to see zero critique or discussion on objective, granular data and conclusions posted in this thread 2 weeks ago.

In this year-long eUSD dataset linked above, the Biweekly End rev share method (current process) is suboptimal for recipients vs alternatives. Regrettably, the high-frequency governance changes have also proven costly to eUSD brand building, TVL growth and exhausting for governors, leaving company and affiliate wallets as the voting majority.

For anyone stumbling on this thread, more context is in the post and comments.

The evidence suggests eUSD isn’t a decentralized public good but instead prioritizing an Ugly Cash agenda, probably just its vc fundraising tour. Disheartening for the long term health of the RSR community, but revealing.

Like others who found the concerning gap between eUSD image and substance, I’ve unstaked. Best of luck.

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