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17776 (also known as What Football Will Look Like in the Future) is a serialized speculative fiction multimedia hypertext narrative by Jon Bois, published online through SB Nation. Set in the distant future in which all humans have become immortal and infertile, the series follows three sapient space probes that watch humanity play an evolved form of…
The analysis highlights Themes, Premise and Reception as prominent areas in the source structure around 17776. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 17776 shows recurring relationship patterns in the source. For example, 17776 → According, After, Agatha French, Alabama, Auburn University, Average, Beth Elderkin, Bois, Club, Earth, He, Homestuck, Ian Crouch, Internet, Italo Calvino, July, Los Angeles Times, Of, On July, Peter Heller Another extracted example is 17776 → All, American, April, Arizona, As Nine, By, Canadian, Centennial Light, Denver Broncos, Earth, Eleven Jones Cave, Horseshoe Bend, In, Juice, Jupiter Icy Moons Explorer, Koy Detmer, Mexican, Mile High, Nebraska, NFL. 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.
bois series football story sb nation also future american described published new 20020 space july work sports may humans video
TTTA extracted 143 structured relationships around 17776. Examples in this analysis include 17776 → Author → Jon Bois and 17776 → Current status/schedule → Completed. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| 17776 | Author | Jon Bois | 1.00 | infobox |
| 17776 | Current status/schedule | Completed | 1.00 | infobox |
| 17776 | End date | July 15, 2017 | 1.00 | infobox |
| 17776 | Genre | Speculative fiction | 1.00 | infobox |
| 17776 | Launch date | July 5, 2017 | 1.00 | infobox |
| 17776 | Publisher | SB Nation | 1.00 | infobox |
| 17776 | Website | What football will look like in the future | 1.00 | infobox |
| 17776 | related to 20020 and 20021 | On September | 0.60 | section |
| 17776 | related to 20020 and 20021 | Secret Base | 0.60 | section |
| 17776 | related to 20020 and 20021 | SB Nation | 0.60 | section |
| 17776 | related to 20020 and 20021 | One | 0.60 | section |
| 17776 | related to 20020 and 20021 | Monday | 0.60 | section |
The concept neighborhoods around 17776 bring nearby vocabulary together. In this analysis, examples include Jon, Online and Future. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For 17776, one of the stronger structural bridges in this analysis connects 17776 with Premise. 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 17776 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Themes, Premise & Reception, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — 17776 · EN edition · Analysis: TopicsToTalkAbout