Independent researcher analysing the technology, energy and artificial-intelligence build-out — how it is financed and operated, and how its products are engineered to shape what people spend and choose. Contested figures rebuilt from primary public data; forecasts, valuations and stated targets scored against what actually happens. Every figure traceable; every method reproducible where the question is quantitative.
Self-contained, dependency-free front-ends over the frozen, citable datasets — change an input and watch the figure move. Each is reproducible and archived with its own DOI.
What the S&P-100's highest-paid CEOs took versus what they delivered. Toggle granted vs realized pay and watch the league table reorder; or read the board's own payout-vs-target beside peer-relative return.
Open the tool →How the field forecasts data-centre electricity demand. Measure dispersion only within comparable slices (units and scopes are not interchangeable), and trace the transparency funnel: verified → confirmable → reproducible.
Open the tool →How much announced generation actually gets built. A deflation calculator runs any announced capacity through three measured PJM-queue attrition stages — about one announced MW in five is delivered.
Open the tool →Working papers on the AI build-out's finances, energy and risk, and on how digital and retail systems are engineered to shape spending and choice — built from primary public data and the published evidence base, with reproducible scripts wherever the question is quantitative. Published open-access on Zenodo under CC BY 4.0.
A reproducible ledger of how the AI data-centre build-out reaches a single household — device prices, AI-laden subscriptions, electricity, public subsidy and retirement exposure — with each channel's AI-attributable share bounded, the contested energy row given both sides, and water held outside the ledger as a cost that resists an honest number. Two archetype households; lead with the low bound.
10.5281/zenodo.20941004How individual AI dependency is built, priced, and made hard to leave: a reproducible profile of the commercial machinery (pricing tiers, caps, metering, portability) across US, EU, Chinese and companion providers, with a revealed-elasticity test of which squeezes actually retain users. The consumer leg of the reliance trilogy.
10.5281/zenodo.20807279An analysis of agent-mediated commerce: where the hype stands against what is delivered, why the "neutral agent" is a false assumption, who controls the resulting chokepoint, and which defences are actually enforceable.
10.5281/zenodo.20790897An evidence review of how physical and online retail environments are engineered to increase spending, why individual vigilance is an inadequate defence, and what works in its place.
10.5281/zenodo.20788845A reproducible map of where AI-fluency becomes part of the job — occupation-level AI-usage penetration crossed with the augment/automate mix, from the open Anthropic Economic Index.
10.5281/zenodo.20778969A reproducible measure of systematic AI dependency — reliability, downstream attribution, penetration and reversibility — built from primary status-page and government data.
10.5281/zenodo.20763481A reproducible, descriptive audit setting the S&P-100's highest-paid CEOs' realized pay beside what they delivered.
10.5281/zenodo.20709603 · code & dataA reproducible audit of how the field forecasts data-centre electricity demand — dispersion, revisions, and transparency.
10.5281/zenodo.20708978 · code & dataHow much announced generation gets built — a realized-completion anchor from the PJM interconnection queue.
10.5281/zenodo.20706509 · code & dataA supply-and-demand risk assessment of the AI build-out: a likelihood-by-severity register of where the system is fragile.
10.5281/zenodo.20708803A pre-registered, reproducible record of how private AI valuations survive contact with a real public price.
10.5281/zenodo.20709174Tracking the unit economics and cost re-pricing of AI — the gap between cheaper tokens and cheaper AI.
10.5281/zenodo.20682980A structured scan of the political, economic, social, technological, legal and environmental pressures on the AI industry.
10.5281/zenodo.20719282A transparent bound on the electricity used by automated web traffic — the proof-of-method for the deflation discipline.
10.5281/zenodo.20707001A published negative result in cosmology — kept on the record because reporting what did not work is part of the discipline.
10.5281/zenodo.20512148