Brothers, I have changed from one shift per day to one shift every other day on the River Fortunately, I always give around 2000 points every time I update my points, so the key is not the quantity, but whether your content is "useful," "informative," or "valuable Yesterday, I scored 2753 points, bringing my total points to 164000. I hope to switch to Lucky Report after S3 ends @The latest simulation of RiverdotInc's Integral Conversion Model has also been updated The upgraded model ran another round of data, and the comparison results were clearer and more realistic than the previous version (2.2), with the following highlights What improvements have been made in this update? 1. Replaced with cleaned input data → less noise and more accurate results 2. More accurate timestamp processing → able to see "high-density activities" more clearly 3. Parameter recalibration → Model response better meets expectations 4. Linear model vs integral model comparison is more direct → Who is stable and who is floating can be understood at a glance 1. Conversion rate comparison: The difference is more significant under intensive activities The red line in the diagram represents the integral model Blue line=linear model Key observations ⬇️ Once there is a situation of 'squeezing and turning together': The red line (integral model) will immediately decrease → Blue line (linear model) remains indifferent During the high-pressure period of Day 30-50: The integral model will significantly lower the conversion rate → After the activity slows down, slowly recover according to the recovery formula Simply put, the integral model can reflect the participation density in real time, while the linear model responds slowly. 2. Cumulative RIVER output: more stable and balanced Still red line (integral) vs blue line (linear) Two major conclusions High density period: Integral models provide less and more stability, without sudden spikes like linear models In the complete cycle: the integral model walks smoother without sudden jumps This means that the integral model can avoid short-term "explosive withdrawals" and make the overall issuance rhythm healthier. What does the simulation result indicate? To summarize the characteristics of the integral model: Many people switch together → conversion rate automatically decreases (do not encourage bank runs) Less people, interval rotation → speed recovery During periods of high pressure, the total conversion rate is lower than that of linear models Decentralized participation → Overall returns are higher than clustered participation ➡️ Fully aligned with the goals of Conversion 2.0: Fairer, more predictable, and more shaped by collective behavior 4. Next steps plan The team is currently completing: Final version of parameters Execution process document Activation schedule for upgrading models After verification is completed, updates will continue. I'm still looking forward to the final version, and congratulations to the top 10 who earned points yesterday There are still some new faces joining! I hope all teachers can interact more: @Syu990 @dat150201 @gaengji7512 @0xKingsKuan @pipizhu_eth @BTC99M @Joensmoon @AWeb3Going @Sankhya1945 @bibisister0508 Invest wisely, stake RiverPts - compound growth with @River4fun 's smart strategy! CryptoWisdom http://app.river.inc/?ref=MEJ50749 River RiverPts River4fun Rivers RIVER satUSD @RiverdotInc @River4fun