Why the Artificial Intelligence Data Center Moratorium Act Expands the National Bargaining Space Rather Than Defining It: The Governance Stack, the Nested Governance Equilibrium, Governance Capability as Competitive Capital, and Twelve Falsifiable Predictions

Cong…

Bipartisan Record Convergence, the Letter's Citation Genealogy, and the August 4–5 Scoring Window

Part of the MindCast MLS Equilibrium Series: The Institutional Density Theorem | The Compass Narrative Inversion Playbook | Compass's Cross-Forum Contradictions

Compa…

State Legislative Consolidation, the Categorical Trap, and the Functional Boundary Federal Law Still Lacks

Part of the MindCast Prediction Markets Rule Architecture series: A Boundary Rule with a Functional Core | Competitive Federalism | Kalshi Loses Federal …

Watch a single courtroom and you miss the war. A ruling in one forum reshapes a hearing in another. A federal rulemaking redraws the ground beneath a dozen pending appeals. A company argues one thing in state court and files the opposite in the next state over. …

The Scarcity Migration Theorem, Six Damping Conditions, and a Twenty-Entry Prediction Register Tested Against the NVIDIA–Microsoft Open-Weights Coalition

Thirty-five technology organizations — NVIDIA, Microsoft, Meta, OpenAI, ServiceNow, and Palantir among them — …

⚔️ The Doctrine Identifiability Theorem — Measuring Hidden Strategies With Behavioral Economics + Game Theory

A Runtime Module for Reconstructing Hidden Strategy — Registered on the 2026 US Open and the Seahawks' Season

A Soresu duelist raises a wall of blade …

National Prediction Market Litigation Architecture Series — The Undefined Category: The New York Ruling, Rule 40.11, and the Future of Federal Prediction-Market Authority

The Commodity Futures Trading Commission (CFTC) is winning fronts and losing the war, and a …

Dynamic Predictive Game Theory Series: From Equilibrium Prediction to Adaptive Coherence Equilibrium

In 2011, Drew Fudenberg — one of game theory's leading theorists — published a candid admission: writing down a game and characterizing its Nash equilibria "is …

How MindCast Called the Mechanism on the 2026 Super Bowl and World Cup Final

Every major prediction venue in 2026 answered the same question — who wins the Super Bowl and the World Cup — and nearly all of them answered it correctly, because favorites won both …

The Two-Ledger Data Center Bargain, The Coasean Mechanics of “Charge Them, Don’t Pause Them”: Loss-Weighted Ledgers, Pre-Coalition Timing, Enforceable Commitments, and Fourteen Falsifiable Predictions

AI data centers now clear federal review faster than ever — …

Series Introduction, Issue 0: Foundation, A Living Intelligence Series on NIL Governance, Enforcement, and Institutional Strategy

College athletics now runs on a compliance apparatus that did not exist fourteen months ago, and the apparatus publishes its own …

Published July 21st, 2026

Cognitive Digital Twin (CDT) modeling represents a transformative advancement beyond conventional digital twin technologies by embedding cognitive, behavioral, and institutional dynamics into computational simulations. Unlike traditional …

Published June 16th, 2026

AI-powered behavioral economics integrates computational intelligence with insights from behavioral economics to model how real-world actors-regulators, firms, and citizens-process information, make decisions, and adapt within regulatory …

Published May 20th, 2026

Artificial intelligence simulations have become indispensable tools in innovation economics, offering unprecedented capabilities to model complex institutional and market interactions. These simulations employ predictive modeling …

Published April 18th, 2026

Strategic risk management stands at a critical juncture as predictive game theory emerges as a transformative analytical framework. Unlike traditional game theory, which often focuses on static equilibria, predictive game theory employs …

Published March 20th, 2026

Risk forecasting models in litigation support serve as critical instruments for anticipating potential outcomes and exposures in legal disputes. These models systematically analyze historical data, institutional behaviors, and …

Published February 14th, 2026

Research and development (R&D) investment modeling serves as a quantitative framework for systematically allocating capital to innovation projects, aiming to optimize resource distribution amid technical and market uncertainties. …