The CAC Score Study5-part research series
Part 2

How We Sampled California: Random and Snowball Sampling Across the State

A score is only as honest as the people behind it. We stratified our sample to mirror California itself, then used random and snowball sampling to reach players other surveys miss.

Part 3

Testing for Significance: T-Tests, Variance and Confidence Behind the CAC Score

An average can lie. We ran the California survey data through SPSS with t-tests, variance analysis and confidence intervals so that every number in the score earns its place.

The CAC team weighs in

The analysts behind the study talk through what this chapter means for a California player.

Derek Loomis
Derek LoomisLead Analyst

The player survey is 20% because what players actually experience should weigh the most. The math starts from them, not from us.

Aaron Whitfield
Aaron WhitfieldBanking Analyst

Payout sits at 15% because banking is the thing that most often breaks the experience — a slow cash-out poisons everything else.

Chloe Marsh
Chloe MarshReview Editor

Bonuses are 14% — big, but deliberately not the biggest. The fairness of the terms matters more than a flashy headline offer.

Theo Ashworth
Theo AshworthRegulatory Analyst

Trust and licensing at 18% captures operating history and dispute resolution — the floor a casino has to clear.

Joanna Pham
Joanna PhamGames & Data Analyst

And because the weights are published, you can reproduce every score yourself. Ignition's 98 isn't our opinion — it's the formula on the player data.

The CAC Score Research Study (2026)

Our full 67-page methodology and dataset: a stratified survey of 4,217 verified California players aged 21+, the eight-pillar weighting model, complete data tables and statistical analysis behind every score on this site.

Download the full study (PDF, 67pp) →