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Outlast is a 2013 first-person psychological survival horror video game developed and published by the Canadian independent studio Red Barrels. The plot centres on Miles Upshur, a freelance investigative journalist who investigates Mount Massive Asylum, a remote psychiatric hospital located deep in the mountains of Lake County, Colorado, United States.
The analysis highlights Measurement, Plot and Gameplay as prominent areas in the source structure around Outlast.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Outlast shows recurring relationship patterns in the source. For example, Outlast → AAA, Assassin's Creed, Bundle, CA, Canada Media Fund, February, In December, Morin, Nintendo, Nintendo Switch, Persia, PlayStation, PlayStation Plus, Prince, Red Barrels, Red Barrels' CEO Philippe, September, Splinter Cell, Steam, Terror Another extracted example is Outlast → April, Arizona, February, It, Microsoft Windows, Nintendo Switch, On March, On October, Outlast Trinity, PlayStation, Q1, Q2, Red Barrels, Sonoran, Subsequently, The, US, Xbox One. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
miles released waylon game red one 2017 playstation player hospital's walrider hospital murkoff barrels xbox 2024 microsoft windows horror patients
TTTA extracted 114 structured relationships around Outlast. Examples in this analysis include Outlast → Composer → Samuel Laflamme and Outlast → Developer → Red Barrels. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Outlast | Composer | Samuel Laflamme | 1.00 | infobox |
| Outlast | Developer | Red Barrels | 1.00 | infobox |
| Outlast | Engine | Unreal Engine 3 | 1.00 | infobox |
| Outlast | Genre | Survival horror | 1.00 | infobox |
| Outlast | Mode | Single-player | 1.00 | infobox |
| Outlast | Platforms | Microsoft Windows | 1.00 | infobox |
| Outlast | Platforms | PlayStation 4 | 1.00 | infobox |
| Outlast | Platforms | Xbox One | 1.00 | infobox |
| Outlast | Platforms | Linux | 1.00 | infobox |
| Outlast | Platforms | OS X | 1.00 | infobox |
| Outlast | Platforms | Nintendo Switch | 1.00 | infobox |
| Outlast | Publisher | Red Barrels | 1.00 | infobox |
| Outlast | Release | Microsoft WindowsWW: September 4, 2013PlayStation 4NA: February 6, 2014PAL: February 5, 2014Xbox OneWW: June 19, 2014Linux, OS XWW: March 31, 2015Nintendo SwitchWW: February 27,… | 1.00 | infobox |
| Outlast | Release | WW: September 4, 2013 | 1.00 | infobox |
| Outlast | Release | NA: February 6, 2014 | 1.00 | infobox |
| Outlast | Release | PAL: February 5, 2014 | 1.00 | infobox |
| Outlast | Release | WW: June 19, 2014 | 1.00 | infobox |
| Outlast | Release | WW: March 31, 2015 | 1.00 | infobox |
| Outlast | Release | WW: February 27, 2018 | 1.00 | infobox |
| Outlast | Writer | J. T. Petty | 1.00 | infobox |
| Outlast | is a | 2013 first-person psychological survival horror video game developed and published by the Canadian independent studio Red Barrels | 0.90 | text |
The concept neighborhoods around Outlast bring nearby vocabulary together. In this analysis, examples include Red, Barrels and Released. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Outlast, one of the stronger structural bridges in this analysis connects Outlast with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Outlast to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Plot & Gameplay, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Outlast · EN edition · Analysis: TopicsToTalkAbout