Evidence map›Paper›PMID 40929282›Full record

ArticlePloS one2025

Investigating audience preferences within the hybrid competitive-comedic format of taskmaster UK.

David Haim Silver

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

1 author.

David Haim SilverRemiza AI, Poughkeepsie, New York, United States of America.ORCID 0000-0002-3071-304X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHybrid entertainment formats combining competitive and comedic elements present opportunities to investigate factors driving audience engagement. I analyzed Taskmaster UK (2015-2023), a BAFTA-winning comedy panel show where comedians compete in creative tasks judged by a host, to quantify relationships between scoring mechanics, performer characteristics, and viewer ratings.

methodsI analyzed 154 episodes encompassing 917 tasks performed by 90 contestants, with audience reception measured through 32,607 IMDb votes. To capture scoring dynamics while avoiding intercorrelated metrics, I employed a low-dimensional representation using mean (μ) and variance ([Formula: see text]) of score distributions. Additional methods included mixture modeling for rating distributions (tri-peak model: [Formula: see text][Formula: see text]), hierarchical clustering for performance patterns, and Random Forest regression. All p-values include False Discovery Rate correction.

resultsLow-dimensional scoring representation showed no significant associations with IMDb ratings (μ: r = -0.012, p = 0.890; [Formula: see text]: r = -0.118, p = 0.179; combined R2 = 0.017, p = 0.698). Contestant age emerged as the strongest predictor (39.5% ± 2.1% feature importance). Sentiment analysis identified increased awkwardness over time ([Formula: see text], adjusted p = 0.0027). Clustering revealed five performance archetypes appearing consistently across series. Geometric analysis showed 38.9% (98/252) of mathematically possible scoring distributions occur in practice.

conclusionsCompetitive elements provide framework while audience engagement correlates with performer characteristics and emotional content. The low-dimensional scoring analysis eliminates methodological concerns about metric intercorrelation. These findings position Taskmaster UK as a quantifiable example where secondary mechanics enable but do not determine primary value.

Indexed as

Competitive BehaviorHumansUnited KingdomWit and Humor as Topic

Identifiers

PMID40929282
PMCPMC12422456

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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.