Predicting Block Halving Party Times
Meni Rosenfeld

TL;DR
This paper explores methods to predict the timing of Bitcoin's halving events, aiming to assist event planning by estimating when these significant network milestones will occur.
Contribution
It introduces techniques to estimate the mean and variance of Bitcoin halving times, addressing the challenge of predicting these events accurately.
Findings
Proposes statistical methods for timing prediction
Provides confidence intervals for halving dates
Highlights challenges in precise forecasting
Abstract
Bitcoin is the world's first decentralized digital currency. The rate at which bitcoins enter circulation is cut in half every 4 years, approximately. These events are considered landmarks in Bitcoin's history, and as such are widely celebrated. However, this requires placing confidence intervals on the precise timing of the halving well in advance, and the particular mechanism by which the halving time is determined makes this challenging. In this paper, we intend to help party planners by describing the problem, and highlighting several techniques to estimate the mean and variance of the halving.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScheduling and Optimization Algorithms
