Cited by 104Doping in SportsSports, Gender, and SocietySexual Differentiation and Disorders

Scientific integrity and the IAAF testosterone regulations

Open access
Pielke, Roger, Tucker, Ross, Boye, Erik·2019·The International Sports Law Journal

Abstract

In April 2018, the International Association of Athletics Federations (IAAF) announced new regulations governing the eligibility of certain female athletes with differences of sexual development accompanied by elevated levels of natural testosterone. Such women with testosterone levels above a specific threshold would be banned from competing as females unless they were to undergo medical intervention. In this paper, we examine key elements of the scientific basis offered by IAAF in support of the regulations, based on a subset of original performance data provided to us by IAAF. We identify significant flaws in the data used by IAAF leading to unreliable results. Further, these failures have not been corrected by IAAF or the academic journal which has published them, leading to a comprehensive failure of scientific integrity. We argue that the IAAF testosterone regulations are based on a flawed scientific foundation and that this case offers more general lessons for the sport governance community on the importance of upholding the standards of scientific integrity expected in other areas of policy and regulation.

AI snapshot

Written from the paper’s full text.

TL;DR

The paper argues that the IAAF’s 2018 testosterone regulations rest on flawed scientific evidence, especially Bermon and Garnier (2017), and that IAAF and BJSM failed to correct or retract it. Using a partial dataset, the authors document pervasive data errors and show results change materially when corrected, concluding the regulations lack a reliable scientific foundation.

Key findings

  • The 2018 IAAF regulations require women with differences of sexual development and elevated natural testosterone to medically reduce testosterone below 5 nmol/L to compete in five events: 400 m, 400 m hurdles, 800 m, 1500 m, and 1 mile; BG17 is cited as the empirical basis.
  • In the four regulated events they recreated, problematic data made up 17–33% of values: 400 m 22/67 (32.8%), 400 m hurdles 19/67 (28.4%), 800 m 11/64 (17.2%), and 1500 m 15/66 (22.7%); errors included duplicated athletes, duplicated times, phantom times, and doping-disqualified athletes.
  • Correcting the data changed all three outcomes—sample numbers, means, and standard deviations—for all four events; for example, 400 m mean changed from 52.19 to 52.85 and 1500 m from 250.15 to 245.96.
  • Comparing BG17 with BHKE18, performance differences between highest and lowest testosterone tertiles decreased in 8 of 11 running events, changed from positive to negative in 3 events, and low-T tertile was faster in 6 of 11 events versus 3 of 11 in BG17; in the four regulated events the average difference fell by 0.4% absolute (from 2.0% to 1.6%), with only 1 of 4 statistically significant in BHKE18 versus 3 of 4 in BG17.

Methods

  • Independent critique based on a subset of original BG17 performance data provided by Dr. Bermon after the authors’ request; they received data for the 11 women’s running events, described as 25% of the original data.
  • They replicated BG17’s Table 3 summary statistics and recreated the underlying dataset for four events (400 m, 400 m hurdles, 800 m, 1500 m) by cross-checking times against publicly available 2011 Daegu and 2013 Moscow World Championships results.
  • They compared original BG17 data, their corrected data, and BHKE18 results, focusing on performance differences between top and bottom testosterone tertiles.

Limitations

  • The authors state they had only 25% of the original BG17 data and no linked medical data, so they cannot know what impact the problematic data had on BG17’s conclusions about testosterone’s influence on performance.
  • They state their recreation was limited to four regulated events, though they consider it likely similar problems exist in other events and the anonymous medical data.
  • Evident from the text: the balance of BG17 and BHKE18 data was not made available, BHKE18 was published as a letter and not peer-reviewed prior to publication, and the recreation relied on publicly available results, limiting independent verification of the full analyses.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1007/s40318-019-00143-w

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

  • Findingown data

    The data provided to the authors do not match the data used in the updated BHKE18 paper.

    “Further, it appears that some amount of unreliable data persists in BHKE18, since the data provided to us do not match that used in the updated BHKE18 paper.”
    Quote in the paperSubstantial claim
  • Findingreasoning

    The performance data associated with BG17 have not been reviewed by peers.

    “With the exception of our analysis reported below, based on a subset of the data shared with us, the data have not been reviewed by peers and were not at the time of this claim by the IAAF.”
    Quote in the paperSubstantial claim
  • Findingown data

    In three events, the performance difference changed from positive (high T faster than low T) to negative (high T slower than low T).

    “In three events, the performance difference changed from positive (high T faster than low T) to negative (high T slower than low T)”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.
  • Findingnone given

    In the 100 m sprint, the advantage of low T athletes over high T athletes (5.4% and 3.4%, respectively) is larger than any of the advantages observed within each study of high T over low T across all events.

    “In the 100 m sprint, the advantage of low T athletes over high T athletes (5.4% and 3.4%, respectively) is larger than any of the advantages observed within each study of high T over low T across all events.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.
  • Findingown data

    The authors successfully reproduced the summary statistics from Table 3 of BG17 using the data provided by Dr. Bermon, with only small differences.

    “Table 1 shows that we were able to successfully reproduce the summary statistics with only small differences (emphasized).This replication confirms that the data that we were provided by Dr. Bermon were in fact identical (or nearly so, we cannot explain the small differences between reported results and our replication) to that which was used in BG17.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. 1
  • May combine two claims. 13
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    The editorial process used by BJSM to arrive at its judgements is unknown.

    “The editorial process used by BJSM to arrive at these judgements is also unknown.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the four regulated events, the average difference in times was reduced by 0.4% in absolute terms (from 2.0% to 1.6%), and only 1 of 4 meets the BHKE18 standard for statistical significance (BG17 reported 3 of 4).

    “In the four regulated events, the average difference in times was reduced by 0.4% in absolute terms (i.e. from 2.0 to 1.6%), and only 1 of 4 meets the BHKE18 standard for statistical significance (BG17 reported 3 of 4).”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.
  • May combine two claims.

    Findingnone given

    For 8 of 11 running events, the performance difference between the highest and lowest testosterone tertiles decreased from BG17 to BHKE18, including in 3 of 4 of the regulated events.

    “For 8 of 11 running events, the performance difference between the highest and lowest tertiles decreased from BG17 to BHKE18, including in 3 of 4 of the regulated events”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.
  • May combine two claims.

    Findingnone given

    The IAAF and BJSM have not corrected the identified failures.

    “Further, these failures have not been corrected by IAAF or the academic journal which has published them”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingreasoning

    BHKE18 stated it excluded 230 observations, but a comparison of reported observations in BG17 and BHKE18 indicates that only 220 observations were dropped, so BHKE18 erred in its reporting of excluded observations.

    “A comparison of reported observations in BG17 and BHKE18 indicates that only 220 observations were dropped from one study to the next, and thus, BHKE18 erred in its reporting of excluded observations.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingreasoning

    BJSM rejected the authors' call for retraction of BG17 and refused to require the authors of BG17 or BHKE18 to release their data to allow for independent replication.

    “Similarly, once we identified errors in the data that were provided to us by Dr. Bermon, the editors of BJSM rejected our call for the paper to be retracted.”
    • Also stated in: § 4 The importance of upholding scientific integrity in sports governance · plain
      “BJSM has also refused to require the authors of BG17 or BHKE18 to release their data to allow for independent replication.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Neither BG17 nor BHKE18 can be considered peer-reviewed studies because neither BJSM nor the IAAF has made available data from either analysis.

    “Neither BJSM nor the IAAF has made available data from either analysis and cannot be considered peer-reviewed studies.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    BJSM refused to publish the authors' analysis after more than 3 months of deliberation, not due to any scientific shortfalls (the BJSM peer reviewers judged the analysis scientifically sound) but because the analysis was critical of how the issue was handled by BJSM.

    “Further, after reviewing a submission from us on the flaws in BG17 and the irregularities in the process, BJSM refused to publish our analysis after more than 3 months of deliberation-not due to any scientific shortfalls (indeed, the BJSM peer reviewers judged our analysis to be scientifically sound) but because our analysis was critical of how the issue was handled by BJSM.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The failures in the data and their non-correction by IAAF and BJSM constitute a comprehensive failure of scientific integrity.

    “Further, these failures have not been corrected by IAAF or the academic journal which has published them, leading to a comprehensive failure of scientific integrity.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    BG17 used unreliable data, and thus its results are also unreliable.

    “What is unequivocal is that BG17 used unreliable data, and thus, its results are also unreliable.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.
  • May combine two claims.

    Premisereasoning

    The IAAF research was produced in-house by IAAF researchers and was both funded and conducted by IAAF in support of its own regulations.

    “As BG17 is both funded and conducted by IAAF in support of its own regulations, it is appropriate that independent scholars replicate or examine their work.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    BG17 forms the empirical basis for the 2018 IAAF testosterone regulations and is the primary response by IAAF to the evidence required by the 2015 CAS Chand ruling.

    “There can be no doubt that BG17 forms the empirical basis for the 2018 IAAF testosterone regulations and is the primary response by IAAF to that CAS ruled must be provided by the IAAF in the 2015 Dutee Chand ruling.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The authors consider it likely that similar data problems might be found in the data for the other 17 women's events and 22 men's events, and perhaps also in the anonymous medical data.

    “Given the pervasiveness of these errors, we consider it likely that similar problems might be found in the data for the other 17 women's events and 22 men's events, and perhaps also in the anonymous medical data, which are the basis for the study's main conclusions regarding the performance effects of elevated testosterone levels.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.
  • May combine two claims.

    Interpretationreasoning

    The results of BG17 are clearly unreliable, and those of BHKE18 are of unknown validity.

    “The results of BG17 are clearly unreliable, and those of BHKE18 are of unknown validity.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.
14 of 14
  • The paper relies on this without support.

    The publicly available results from Wikipedia for the 2011 and 2013 World Championships are accurate and complete enough to recreate the underlying dataset used in BG17.

    “recreation of the underlying dataset based on reported times from the 2011 (Daegu) and 2013 (Moscow) World Championships (via Wikipedia).”
1 of 1

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Douglas HE, Bour E (2014) Scientific integrity in a politicized world. In: Logic, methodology, and philosophy of science: proceedings of the 14th international congress, pp 253–268

Cited by

Sorted by citations

Authors
Pielke, R., Tucker, R., & Boye, E.
Affiliations
  • University of Colorado Boulder (US)
  • University of Cape Town (ZA)
  • Oslo University Hospital (NO)
Corresponding author
Pielke, Roger
Venue
The International Sports Law Journal
Published
2019-02-07
Volume
19
Issue
1-2
Pages
18-26
ISSN
  • 1567-7559 (ISSN-L)
  • 2213-5154
OpenAlex
W2914586711
Cited by
104
References
11
Citations by year
2026: 8 · 2025: 5 · 2024: 27 · 2023: 18 · 2022: 20 · 2021: 7 · 2020: 6 · 2019: 13
FWCI
23.14
Type
journal article
Language
en
Open access
Locations
The International Sports Law Journal (publishedVersion, cc-by)
Topics
  • Social Sciences › Sociology and Political Science › Doping in Sports
  • Social Sciences › Gender Studies › Sports, Gender, and Society
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sexual Differentiation and Disorders
Keywords
scientific integrity, sports eligibility, gender verification, data reliability, performance data, sports governance, anti-doping policy

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