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ArticleSports medicine (Auckland, N.Z.)2026

Breaking Barriers: What is the Probability of Achieving Mile World Records in the Near Future?

Alejandro Alda-Blanco, Andrew M Jones, Fernando González-Mohíno

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Article in Sports medicine (Auckland, N.Z.), 2026. 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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Alejandro Alda-BlancoSports Training Laboratory, Faculty of Sport Sciences, University of Castilla-La Mancha, Avenida Carlos III s/n, 45071, Toledo, Spain. Alejandro.alda@uclm.es.ORCID http://orcid.org/0009-0009-6344-3726
Andrew M JonesDepartment of Public Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0000-0002-2082-1709
Fernando González-MohínoSports Training Laboratory, Faculty of Sport Sciences, University of Castilla-La Mancha, Avenida Carlos III s/n, 45071, Toledo, Spain.ORCID http://orcid.org/0000-0002-6327-6958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhether current elite milers possess the physiological profiles required to break the men's and women's mile world records (WRs) remains unclear.

objectiveThe aim was to estimate the probability of mile WR performances in elite men and women using a bivariate Monte Carlo simulation grounded in the critical speed (CS)/curvature constant (D') bioenergetic framework.

methodsCS and D' were estimated via linear regression (D = D' + CS · T) from personal best times across up to seven distances (800 m-5000 m) for the top-10 men's and women's milers of the 2021-2024 Olympic cycle. Subsequently, a bivariate Monte Carlo simulation (n = 100,000; seed = 42) was conducted, sampling CS and D' from a truncated bivariate normal distribution incorporating the correlation.

resultsThe simulation yielded a probability of 0.06% for women surpassing the current 4:07.64 WR, with 0% probability of bettering the sub-4:00 barrier. For men, the probability of breaking the 3:43.13 WR was 0.88%, with 0.01% probability of a sub-3:40 performance. Median predicted times were 4:16.33 for women and 3:48.11 for men. CS was the dominant sensitivity predictor in both sexes (ρ = - 0.74; ρ = - 0.48, for women and men, respectively).

conclusionsThe reported probabilities derived from an elite sample (ten women, ten men) showed that under current physiological profiles, mile WRs are very unlikely events. Achieving these performances requires the convergence of extraordinary physiological capability and extrinsic factors including advanced footwear technology, aerodynamic assistance, and optimised pacing strategies.

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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.