Description languages as modelling decisions: A comment on Wheeler and Varón (2025)

Wheeler and Varón (2025) proposed phylogenetic minimum description length (PMDL) as a phylogenetic optimality criterion grounded in algorithmic (Kolmogorov) complexity. PMDL applies the minimum description length (MDL) principle to phylogenetic inference, but its claim that its graph complexity penalties arise 'naturally' and are 'not externally specified' merits careful interpretation. In MDL, description lengths are defined relative to a fixed description language, which can be interpreted as encoding domain-specific background assumptions that function analogously to implicit priors over hypotheses. In PMDL, this can be illustrated by the large graph complexity penalties assigned to phylogenetic networks, particularly the sharp increase when moving from a tree to a minimal network. These penalties reflect modelling assumptions rather than consequences determined by algorithmic complexity alone. Accordingly, PMDL's graph penalties are natural only in the conditional sense that they are not externally specified once a description language for phylogenetic graphs is fixed. The choice of that language, however, remains a substantive external modelling decision. While graph complexity provides the clearest illustration, the principle that description languages encode substantive modelling decisions also applies to PMDL's model complexity. Making this explicit clarifies the interpretation of PMDL within the MDL framework and renders its background assumptions open to evaluation.

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Publication Details

Journal
Cladistics
Published
2026-04-17
DOI
https://doi.org/10.1111/cla.70037
Primary Topic
Genomics and Phylogenetic Studies
Type
article
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article

Description languages as modelling decisions: A comment on Wheeler and Varón (2025)

Jan De Laet
Cladistics
Genomics and Phylogenetic Studies
article

Description languages as modelling decisions: A comment on Wheeler and Varón (2025)

Jan De Laet
article en

Abstract

Wheeler and Varón (2025) proposed phylogenetic minimum description length (PMDL) as a phylogenetic optimality criterion grounded in algorithmic (Kolmogorov) complexity. PMDL applies the minimum description length (MDL) principle to phylogenetic inference, but its claim that its graph complexity penalties arise 'naturally' and are 'not externally specified' merits careful interpretation. In MDL, description lengths are defined relative to a fixed description language, which can be interpreted as encoding domain-specific background assumptions that function analogously to implicit priors over hypotheses. In PMDL, this can be illustrated by the large graph complexity penalties assigned to phylogenetic networks, particularly the sharp increase when moving from a tree to a minimal network. These penalties reflect modelling assumptions rather than consequences determined by algorithmic complexity alone. Accordingly, PMDL's graph penalties are natural only in the conditional sense that they are not externally specified once a description language for phylogenetic graphs is fixed. The choice of that language, however, remains a substantive external modelling decision. While graph complexity provides the clearest illustration, the principle that description languages encode substantive modelling decisions also applies to PMDL's model complexity. Making this explicit clarifies the interpretation of PMDL within the MDL framework and renders its background assumptions open to evaluation.

Cladistics
Meise Botanic Garden (BE)
Peace, Justice and strong institutions
Openalex Percentile: Top 14%
Genomics and Phylogenetic Studies
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Description languages as modelling decisions: A comment on Wheeler and Varón (2025) — Jan De Laet · Cladistics (2026) | TGRS Research Map | TGRS