Too Long; Didn't Read
Ethereum’s fall from grace this year is a poorly guarded secret within the broader crypto and finance communities. The decline in Initial Coin Offerings’ popularity is one obvious factor, but of pertinence has been Ethereum’s proven inability to process transactions across its network in an efficient manner. In this post, I explore Ethereum transaction costs using data made available via Google Bigquery. This writeup assumes a basic understanding of the mechanics of proof-of-work blockchains (the core innovation upon which Ethereum and Bitcoin are based) and SQL. The ease with which one can track recent scalability inefficiencies across the Ethereum network offers a compelling test case in favor of blockchain’s promise of facilitating a more transparent economic sphere.