About This Game
How It Works
Higher/Lower: Epstein Documents is a game inspired by the popular “Higher or Lower” format. Each round presents you with two people, and you must guess which person appears more frequently in the Epstein document corpus.
The game uses a metric called docCount, which represents the number of times a person's name appears in the publicly released document corpus. Your goal is to build the longest streak possible by correctly identifying which person has the higher count.
Gameplay Features
- Winner-Stays Mechanic: When you answer correctly, the winning person remains on screen, and a new challenger appears.
- Difficulty Balancing: The game uses a bucket-based matching system to ensure comparisons are fair and streak-friendly.
- No Repeats: The game avoids showing the same person multiple times until necessary, keeping gameplay fresh.
- Keyboard Support: Use arrow keys (← →) to select left or right on desktop.
⚠️ Important Disclaimer
Presence in the document corpus does NOT imply wrongdoing, association, guilt, or any form of involvement.
The docCount metric is simply a frequency measure—a count of how many times a person's name appears in the documents. Names may appear for countless reasons, including:
- Being mentioned in passing or in unrelated contexts
- Being referenced by others
- Being part of business or social networks with no negative implications
- Being celebrities or public figures whose names appear frequently in general
This game is intended as an educational exercise in data analysis and pattern recognition, not as a tool for making judgments about individuals.
Data & Methodology
The dataset includes approximately 401 people matched to public celebrity lists and Wikipedia pages. The docCount for each person was computed by counting mentions in the publicly released Epstein document corpus.
All data is processed statically and loaded client-side—no database or server API is required for version 1 of this game.