
One Thousand Lies
Keinart Lobre · 2016-04-24
Modes: Single player · Perspectives: First person, Side view, Text
Releases: Apr 21, 2016 (PC (Microsoft Windows)), Apr 21, 2016 (Mac), Apr 21, 2016 (Linux)
One day, Ciarán starts receiving enigmatic emails from a mysterious sender, turning his everyday life into a mess of a romantic comedy with psychological themes mixed in. What lies beyond the mystery he's been presented with? In the words of Harry H.: "If you want to know the truth, go find it".
One Thousand Lies is a 2016 Casual, Free To Play, and Simulation game priced at free-to-play, with a Very Positive review sentiment (89% of 1131 reviews) and an estimated owner base of 100,000 .. 200,000.
0 players in-game as of 2026-10-14 15:00 UTC (census sample)
Health check
- · 0 players in-game at the last census sample.
- · 23 reviews in the last 8 weeks (~3/week).
- · Review velocity down 28% vs the prior 8 weeks.
- · Top 8% of 29,056 Casual games in the census by review count.
Health tier since 2026-08-31
Review momentum
Players online
Completion
- · 30.4% of players earned Only the truth
Global achievement rates from Steam.
Details
4 supported languages: English, Spanish - Spain, Russian, Portuguese - Brazil
Post-launch support: 4 DLC released, first 2016-04-26, latest 2017-11-08 (Steam store data)
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 3,814 | 100% | 1 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Player tags
AnimeIndieCasualComedyNudityRomanceSimulationStory RichFree to PlaySingleplayer
Census log
- 2018-01-01First review activity on record (week of 2018-01-01).
- 2018-01-01Biggest review week on record: 20 reviews (week of 2018-01-01).
- 2026-09-28Highest concurrent player count the census has recorded: 3 (2026-09-28).
Computed from census-recorded observations only — dates are observation dates.
Players also track
If My Heart Had WingsSeduce Me the OtomeDon't Notice Me
Similarity via IGDB.