🌊 @RiverdotInc [ Simulation Log 2.4 A Broader Look Into the Updated Integral Conversion Model ] The latest iteration of the Integral Conversion Model simulation has officially been released, bringing a deeper layer of clarity and precision to how system behaviors unfold across different participation waves. This revision is not just a minor polish it’s a comprehensive recalibration. By applying thoroughly cleaned datasets, applying a more intelligent normalization of timestamps, and tightening several computational parameters, the model now reflects ecosystem activity with a level of accuracy that previous rounds could only approximate. What’s new in this refined version? - Enhanced visibility in high-density phases Moments where user activity piles up previously blurred or compressed now reveal clearer patterns, making rate fluctuations easier to interpret. - Smoother long-term cumulative progression Instead of abrupt spikes or irregular build-ups, cumulative outputs now grow in a more controlled, predictable arc across the full timeline. - More evenly balanced output distribution The new simulation spreads results more uniformly, offering participants a fairer representation of their contribution periods and reducing distortion caused by atypical activity bursts. Together, these improvements create a more stable foundation for future adjustments, analytical comparisons, and upcoming stress-testing phases. A complete breakdown paired with charts, parameter notes, and interpretation guidelines can be explored here: Previous Milestones in the Series 2.1 – Conversion Mechanism Upgrade Progress A closer look at the evolving architecture behind the Conversion Mechanism. 2.2 – Simulation Overview A high-level walk-through of the simulation environment and how various participation models are tested. 2.3 – Formula Specification of the Conversion Mechanism An in-depth disclosure of the mathematical backbone powering the mechanism. @River4fun #RiverPts