The Origin Story

The Problem with Modern Reviews

I’ve been playing video games for most of my life. Over the decades, I’ve watched game reviews devolve from honest consumer advice into a toxic mess of console wars, deliberate review bombs, and click bait. Somewhere along the way, the focus diverged entirely. Modern reviews have stopped being about the game itself and started being about the publisher, the marketing budget, or the cultural politics surrounding the release.

As a physicist, this bothered me. Bad data yields bad results. You cannot measure the actual quality of a complex system if your measuring instrument is permanently calibrated to calculate hype or hate.

The Diver's Insight

In high school, I was on the swimming team, which meant I spent hours on the pool deck watching diving competitions. I was always intrigued by how athletes performing completely different maneuvers could be scored fairly on a single leaderboard.

The solution was genius: competitive diving separates the Degree of Difficulty (DD) from the Execution. A simple dive performed flawlessly can absolutely beat a highly complex dive performed poorly.

For years, I would consider how game reviews can be more like competitive diving. How do you fairly compare a massive, interconnected RPG built by hundreds of people to a tiny, mechanically perfect indie game? The answer is that we have to move beyond reviews and start benchmarking, by separating the difficulty of building a game from the software delivery.

Coding the Simulation

When generative AI tools emerged, I didn't see a chatbot, I saw a new tool. I used them to rapidly build Python scripts, and a backend architecture capable of running thousands of data simulations to prove the math held up.

True Game Metrics is the literal result of those simulations. It is a platform built by a physicist, inspired by the duality of diving, and accelerated by AI tools. It is designed to give developers objective credit for the complexity of their ambition, while finally allowing gamers to judge execution without the noise.

The Platform Architecture

True Game Metrics is built using open data concepts and high-performance developer tools:

• Python: Powers the Synthesis Engine, running our Quantile Sampling algorithms and batch data processing.
• Firebase: Handles the secure backend database, user authentication, and cloud functions.
• Google Gemini: Served as the core AI engineering assistant used to accelerate backend coding, debug logic, and refine the initial math models.

Join the Panel

TGM isn’t a corporate database or a traditional media outlet. It’s a data pipeline for people who love games but hate bad data. Right now, we are actively gathering developer metrics to lock in official Degree of Difficulty scores, and we need analytical gamers to step onto our 7-judge virtual panel to clean up our execution data.