The Science of Learning Curves: Overcoming Plateaus and the Fluency Trap
Why learning plateaus happen, how to overcome a learning plateau, and how the fluency trap creates an illusion of competence during skill acquisition.
Fluid and Crystallized Intelligence: Why Smart People Keep Solving the Same Problems
Why fluid and crystallized intelligence helps explain repeated problem solving, weak compounding, and the need to turn insight into reusable skill.
AI and Knowledge Workers: The Real Challenge Is Cognitive Drift
Why AI pressure in knowledge work is not just about replacement, but about workload intensification, cognitive offloading, and the need to protect judgement.
The ORSAR Framework: How to Use AI Without Losing Your Mind
A five-step human-led protocol for using AI without surrendering judgement: Own, Refine, Stress-Test, Audit, and Re-write.
Human-Led AI Reasoning Protocol: 10-Day Challenge
A practical 5-step protocol to use AI without cognitive drift: own the question, refine, stress-test, audit, and rewrite with judgement.
The rise of cognitive elites: college, work and AI
How the college degree divide, elite universities, assortative matching, and AI are re-sorting the modern knowledge economy.
How To Do A Raven Matrices Test
A practical guide to Raven-style matrix reasoning tasks and a clean strategy loop for test-day execution.
The Most Effective Training Strategies For Dual N-back Working Memory Training
Session structure, progression rules, and carryover checks that matter more than chasing high N on a single day.
The 123 Sigma Rule: 1-2-3 Sigma Framing
How 1, 2, and 3 standard deviations from the mean are used for benchmark setting, rarity framing, and cautious interpretation.
The Science Behind the Emotional Dual N-back
A practical review of emotional-load training design, resilience aims, and conservative interpretation rules.
Jordan Peterson on IQ: A Methods-First Read
A neutral methods-first analysis of public IQ commentary and how to convert broad narratives into practical decisions.