Evidence map›Paper›PMID 31636277›Full record

ArticleScientific reports2019

The Psychology of Existential Risk: Moral Judgments about Human Extinction.

Stefan Schubert, Lucius Caviola, Nadira S Faber

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stefan SchubertDepartment of Experimental Psychology, University of Oxford, New Radcliffe House, Radcliffe Observatory Quarter, Woodstock Road, OX2 6GG, Oxford, United Kingdom. stefan.schubert@psy.ox.ac.uk.ORCID http://orcid.org/0000-0003-2938-4696
Lucius CaviolaDepartment of Experimental Psychology, University of Oxford, New Radcliffe House, Radcliffe Observatory Quarter, Woodstock Road, OX2 6GG, Oxford, United Kingdom.
Nadira S FaberDepartment of Experimental Psychology, University of Oxford, New Radcliffe House, Radcliffe Observatory Quarter, Woodstock Road, OX2 6GG, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-9373-9549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 21st century will likely see growing risks of human extinction, but currently, relatively small resources are invested in reducing such existential risks. Using three samples (UK general public, US general public, and UK students; total N = 2,507), we study how laypeople reason about human extinction. We find that people think that human extinction needs to be prevented. Strikingly, however, they do not think that an extinction catastrophe would be uniquely bad relative to near-extinction catastrophes, which allow for recovery. More people find extinction uniquely bad when (a) asked to consider the extinction of an animal species rather than humans, (b) asked to consider a case where human extinction is associated with less direct harm, and (c) they are explicitly prompted to consider long-term consequences of the catastrophes. We conclude that an important reason why people do not find extinction uniquely bad is that they focus on the immediate death and suffering that the catastrophes cause for fellow humans, rather than on the long-term consequences. Finally, we find that (d) laypeople-in line with prominent philosophical arguments-think that the quality of the future is relevant: they do find extinction uniquely bad when this means forgoing a utopian future.

Indexed as

Extinction, BiologicalJudgmentMoralsAdultFemaleHumansMaleRisk

Identifiers

PMID31636277
PMCPMC6803761

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.