Does it Make Sense to Aggregate and Average feeReceipent Rewards Using a Smoothing Pool?
Duration: 00:22:48
Speaker: Ken Smith
Type: Talk
Expertise: Intermediate
Event: Devcon
Date: Oct 2022
This talk presents a statistical model and python code that can be used to model feeRecipient tips using a set of binomial, Gaussian, and Bayesian modeling techniques. We will explore if the ideal of pooling these fees, similar to how POW miners have been pooling their hash power, makes sense for Ethereum validators. We will present the results of modeling one such feeReceipent pooling contract to determine if such a model adds value to other validating Ethereum Node operators.