Thirty Strangers – Interactive Probability Game

Author / Site: Unknown (custom HTML application)

Summary: Thirty Strangers is a self-contained interactive browser game in which players repeatedly decide whether to 'take' or 'pass' on strangers encountered across multiple lines, competing against an AI opponent under a scoring system. The game simulates repeated probabilistic decision-making across many rounds, producing experimental outcomes that accumulate over gameplay. It includes configurable parameters such as number of lines, people per line, and AI difficulty thresholds.

Relevance to Module: The game directly engages learners with experimental probability by generating observable outcomes through repeated trials, mirroring the kind of real-world probability experiments discussed in the module. The competitive structure against an AI opponent—whose thresholds are derived from calculated probabilities—grounds abstract probability concepts in a playful decision-making context.

Pedagogical Purpose

An instructor would include this resource as a motivational and experiential learning tool to help students viscerally experience the difference between theoretical and experimental probability (MO3), observing how outcomes fluctuate in the short run but stabilize over many trials in line with the Law of Large Numbers. The multi-step decision structure also supports MO5, as students must implicitly reason about when to act based on prior outcomes and remaining opportunities—mirroring the logic of selecting appropriate probability rules. After play, reflection prompts could ask students to interpret their final score in plain language (MO4), reinforcing probability literacy in a concrete, engaging context.

Added September 17, 2026