Evidence map›Paper›PMID 42538949›Full record

ArticlebioRxiv : the preprint server for biology2026

Survivorship Bias Explains Age-Dependent Extinction in Fossil Genera.

Mikhail Tikhonov, Kim Sneppen, Stefan Bornholdt, Sergei Maslov

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mikhail TikhonovDepartment of Physics, Washington University in St. Louis, St Louis, MO, USA.ORCID 0000-0002-9558-1121
Kim SneppenNiels Bohr Institute, Copenhagen, Denmark.ORCID 0000-0001-9820-3567
Stefan BornholdtInstitute for Theoretical Physics, University of Bremen, Bremen, Germany.
Sergei MaslovNSF-Simons National Institute for Theory and Mathematics in Biology, Chicago IL, USA.ORCID 0000-0002-3701-492X

Funding

Simplifying the description, not the system: Advanced ecological theory for real-world microbiomesR35GM160222 · NIGMS · WASHINGTON UNIVERSITY · PI Mikhail Tikhonov · 2025 to 2026
$653k
NIGMS NIH HHS R35 GM160222
6 · The paper itself

Abstract

Fossil genera exhibit pronounced age-dependent extinction: older genera are more likely to survive extinction events than younger ones. Many biological mechanisms have been proposed that could make lineages progressively more resistant to extinction through time. However, the same pattern can also arise from survivorship bias: as more vulnerable genera are progressively eliminated, the surviving pool becomes increasingly enriched in robust lineages, even if the properties of individual lineages never change. Using the Sepkoski marine genus compendium, we construct a quantitative model based solely on survivorship bias and ask whether additional age-dependent changes are required to explain the fossil record. This model with a single fitting parameter quantitatively reproduces the full set of age-conditioned survival probabilities, together with the overall dependence of extinction risk on genus age and the genus lifetime distribution. Allowing extinction resistance to change systematically through time yields no measurable improvement, indicating that, at least at the aggregate statistical level, explicit age-dependent changes in lineage properties are not required to explain the observed patterns of extinction. These results show that our minimal one-parameter model provides a quantitative null model for age-dependent extinction, against which proposed biological mechanisms can now be tested.

Identifiers

PMID42538949
PMCPMC13419402

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.