A measured working model, not a branding exercise
This dashboard is a live working proof of the arithmetic in a forthcoming book on Bitcoin and energy — a public ledger of curtailed and wasted renewable electricity, updated every few hours and sourced exclusively from grid operators and regulators.
The author
Dr Simon Collins is a New Zealand-based Bitcoin operator, researcher, and author. He runs Stackr, contributes research through the Digital Assets Research Institute, and writes on the economics of Bitcoin's relationship with energy, infrastructure, and displacement. The through-line across that work is methodological rather than promotional: start with the measured system, state the limitations plainly, and prefer conservative arithmetic to expansive claims.
This dashboard follows the same stance. It is not a branding exercise for an argument that has already been decided elsewhere. It is a public working model of the numbers — open enough to inspect, narrow enough to challenge, and conservative enough to be useful.
The book
Every Last Joule: How Bitcoin Meets Energy Where It Is — forthcoming. This dashboard is the live proof of the book's central arithmetic claim: that the world already wastes energy on a scale large enough to matter to Bitcoin, and Bitcoin is unusual in being able to meet that energy where it is.
Elsewhere
- DARI (Digital Assets Research Institute) — da-ri.org
- Substack — Simon to provide
- Book pre-order — TBD
- Contact / corrections — simon@collins.nu
This dashboard
The dashboard is open-source on GitHub: honeybeesquad/every-last-joule-dashboard. Its methodology is published in full (see the Methodology page), its assumptions are named in source, and corrections are welcome. The figures shown here should be read as lower bounds rather than maximal claims: a measured floor, not a speculative ceiling.
Every region's data loader, calibration rate, seasonal multiplier, and fallback behavior is visible in source. Every rate is anchored to a 2024 figure published by the relevant grid operator or regulator, cited inline in the methodology reference list. When a live upstream fails, a committed "last-known-good" snapshot is served instead, and the region's status badge in the dashboard tooltip flips from live to cached so readers can see the degradation.