culturebriefs
9:22in productionCh. 1 · What it is/ 9:22 · ceiling 15 min
Ideas

Longtermism

Longtermism replaces evidence with expectation—and calls it ethics.

Longtermism is a formal ethical stance, not a movement. It does not claim cultural dominance. It does not cite public uptake. It does not describe shifts in art, media or daily life. It is a framework used by specific academic and technical institutions to prioritise interventions with multi-century consequences.

Chapters & takeaways5
  1. 0:58
    What it is

    Longtermism is not about saving the planet—it is about assigning moral weight to people who do not yet exist.

  2. 2:12
    Where it came from

    It emerged in 2017 at Oxford—not from crisis or protest, but from philosophical refinement of older risk-focused arguments.

  3. 3:28
    What it gets right

    Its three premises—moral parity, scale, tractability—are logically tight, but only two are testable in practice.

  4. 4:53
    What it gets wrong

    It substitutes expert opinion for experiment—yet presents probability estimates as if they were measured, not elicited.

  5. 5:52
    Why it matters now

    Ord’s probability estimates in The Precipice anchor real-world decisions—even though the method admits no falsification.

Worth your time?

Yes. Study the whole thing.

3.5/ 5
What works
  • assigning moral weight to non-existent people
  • structuring institutional priorities around persistence
  • making tractability central to moral calculus
What does not
  • culture/art
  • culture/arts
  • culture/cities
  • culture/fashion
Study it if
  • policy designers
  • AI researchers
  • existential risk analysts
Skip it if
  • journalists covering daily news
  • artists working in material timeframes
  • community organisers focused on present need
The written brief1 min read

What the thing is

Longtermism is the ethical view that positively influencing the long-term future is a key moral priority.

Where it came from

The term was coined around 2017 by Oxford philosophers William MacAskill and Toby Ord. It draws inspiration from Nick Bostrom, Nick Beckstead, Derek Parfit, Jonathan Schell, and ancient frameworks like the Iroquois Gayanashagowa.

What it gets right

It correctly identifies that future people have moral standing, that their numbers could vastly exceed ours, and that some actions—like preventing extinction—have uniquely persistent effects.

What it gets wrong

It treats expert elicitation as equivalent to empirical validation. It offers no mechanism to distinguish well-calibrated foresight from speculative intuition.

Why it matters now

Because institutions like CSER and FLI are directing resources toward existential risk mitigation—and because longtermist reasoning now informs AI governance, pandemic preparedness, and climate strategy.

Is it worth your time

Yes—if you shape policy, allocate capital, or design institutions that outlive you. No—if your work operates on quarterly cycles or affects only people alive today.

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Free software movementThe free software movement is a precise, principled refusal of proprietary control over software. It began in 1983 with GNU and institutionalised in 1985 with the FSF. It gets right that software freedom must be guaranteed—not merely permitted. It gets wrong that licence compliance alone secures user agency. Its relevance has grown as software becomes infrastructural—but its methods remain rooted in individual refusal and collective development.
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AbsurdismAbsurdism names the friction between human meaning-making and cosmic silence. It does not resolve it. It insists on the tension. It is precise, unsparing, and useless as advice.
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AccelerationismAccelerationism is a theory that uses capitalism’s own mechanisms to dismantle it. It emerged from Deleuze and Guattari’s 1970s work, was amplified by Nick Land’s CCRU in the 1990s, and named by Benjamin Noys in 2010. It correctly identifies internal contradictions in capitalism—but wrongly assumes those forces can be steered without reproducing domination. Its influence lives less in movements than in how technocrats, AI ethicists and climate strategists talk about scale and speed. It is worth your time only if you want to dissect that assumption—and see where it breaks.
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