The math on EIP-1559's holder and miner impacts.

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  • abm1559

    Transaction markets in Python

  • First off, I want to say that the notebooks (find them here) do not aim to show exact numbers. They are based on transactions generated with somewhat random values, with scales that roughly correspond to the orders of magnitude we are used to discuss with (namely, Gwei) to make the read easier. The point is to discuss results pertaining to the microeconomic incentives of users: how should they bid (the strategic user notebook), what other systems exist (the floating escalator for instance) and how the transition would unfold. This is largely independent of the exact values that basefee will take, or the amount burned, or how much miners receive. It was not my intention to give an answer to these questions, because it involves a different set of skills.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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