Professor Boston

I spent over two decades teaching Behavioral Economics and Game Theory at a Boston university. My academic work focused on how people make decisions under uncertainty — why humans consistently misjudge probability, how incentive structures manipulate behaviour, and how strategic actors exploit those cognitive gaps at scale.

I didn't come to casino analysis out of anger or personal loss. The intellectual problem drew me in. Online casinos are, in my assessment, one of the most sophisticated applied game theory environments ever built for mass consumption — and almost nobody was explaining the mechanics to the people playing inside them.

So I built the tools. Not to tell people to stop gambling, but to make sure that if they're going to play, they're playing with the same information the house has always had.

What I Bring to This

Behavioral Economics informs my understanding of why players make bad decisions — loss aversion, the gambler's fallacy, near-miss engineering, variable reward schedules. I write about casino design as a behavioural architecture problem.

Game Theory informs my understanding of optimal strategy — expected value, Nash equilibria in bonus selection, when to walk away, how casinos price risk into wagering requirements.

Every calculator and tool I build is a lecture made interactive — the goal is always to teach the reasoning, not just output a number. The best slots analysis is a good example: every slot card runs a live Risk of Ruin calculation that updates when you enter your bankroll.

What I Am Not