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Longtermism is the ethical view that positively influencing the long-term future is a key moral priority. It is an important concept in effective altruism and a primary motivation for efforts that aim to reduce existential risks to humanity.
The analysis highlights History and Community as prominent areas in the source structure around Longtermism.
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.
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The extracted context around Longtermism shows recurring relationship patterns in the source. For example, Longtermism → Derek Parfit, Earth, Gayanashagowa, Iroquois Confederacy, Jonathan Schell, Nick Beckstead, Nick Bostrom, Oxford, Persons, Reasons, The Fate, Toby Ord, William MacAskill Another extracted example is Longtermism → Existential Risk, Future, Humanity, Ord, Philosopher William MacAskill, The Precipice, Toby Ord, Working. Use these groups to spot repeated connection types before inspecting the individual relationships.
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future may time moral macaskill risks value present generations view long-term people also existential history william humanity positively human ord
TTTA extracted 63 structured relationships around Longtermism. Examples in this analysis include Longtermism → is a → ethical view that positively influencing the long-term future is a key moral priority and randomized controlled trials to analyze existential risks → instance of → Because it is generally infeasible to use traditional research techniques. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Longtermism | is a | ethical view that positively influencing the long-term future is a key moral priority | 0.90 | text |
| randomized controlled trials to analyze existential risks | instance of | Because it is generally infeasible to use traditional research techniques | 0.80 | text |
| researchers such as Nick Bostrom have used methods such as expert opinion elicitation to estimate their importance | instance of | Because it is generally infeasible to use traditional research techniques | 0.80 | text |
| Derek Parfit in his 1984 book Reasons | instance of | These ideas have re-emerged in contemporary thought with thinkers | 0.80 | text |
| Persons | instance of | These ideas have re-emerged in contemporary thought with thinkers | 0.80 | text |
| and Jonathan Schell in his 1982 book The Fate of the Earth | instance of | These ideas have re-emerged in contemporary thought with thinkers | 0.80 | text |
| utilitarianism may generally be sympathetic to longtermism since whatever the theory considers morally valuable | instance of | Consequentialist moral theories | 0.80 | text |
| there is likely going to be much more of it in the future than in the present.However | instance of | Consequentialist moral theories | 0.80 | text |
| other non-consequentialist moral frameworks may also inspire longtermism | instance of | Consequentialist moral theories | 0.80 | text |
| Longtermism | has effect | What We Owe | 0.60 | section |
| Longtermism | has effect | Future | 0.60 | section |
| Longtermism | has effect | William MacAskill | 0.60 | section |
The concept neighborhoods around Longtermism bring nearby vocabulary together. In this analysis, examples include Future, Moral and May. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Longtermism, one of the stronger structural bridges in this analysis connects Longtermism with Implications for action. 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 Longtermism to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Community, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Longtermism · EN edition · Analysis: TopicsToTalkAbout
