01 May 2026

ISI - Progressive Era statistician, First woman ASA Fellow

Datum 01 May 2026
Tijd 18:00 CEST - 19:30 CEST
Level of instruction
Instructor
Penny Reynolds
Registration fee

Authored and presented by Penny Reynolds
Sponsored by The ASA History of Statistics Interest Group, The Caucus for Women in Statistics and Data Science, and the ISI Committee on Women in Statistics.

In its first century the American Statistical Association elected only one woman as Fellow. Kate Claghorn (1863-1938) was a Progressive Era scholar, suffragist, civil rights activist, social welfare reformer, and statistical educator. At a time when "statistics" was in its infancy, she was an early adopter of mixed methods research, introducing new standards of rigor to the evaluation of quantitative evidence related to immigration, criminal law, and housing reform. Although familiar with the 'new' statistical tools of variation and probability, Claghorn instead prioritised methodology that fostered collection of rigorous and reliable data. She was a fearlessly original thinker, unafraid to go against the eugenics-dominated thinking supported by the majority of ASA leadership. She was also extremely adept in using the new social media outlets of the day to expose poor policy decisions and advocate for evidence-based reforms. However, at her death, ASA leadership said nothing about her remarkable achievements, referring only to her "long and devoted service” on ASA committees. The story of Kate Claghorn could be seen as one more example of the minimisation of the methodological innovations, intellect, and even courage of women during the early institutional history of ASA. However, it also shows Claghorn to be a foundational figure in the development of a vision of statistical practice that is grounded in rigor, responsibility, and public good.
 

Instructors

Penny-Reynolds
Instructor
Penny Reynolds

About the instructor

Penny Reynolds is an applied statistician and writer specialising in experimental design and the history of statistics. She earned her PhD in zoology and statistics from the University of Wisconsin–Madison and has held academic positions at the University of Florida College of Medicine and College of Veterinary Medicine.

Her work focuses on improving research quality through robust statistical design, particularly in biomedical and preclinical studies. She has extensive experience in statistical modelling, experimental design, and collaborative research across clinical and scientific disciplines.

In addition to her applied work, Reynolds is an active contributor to the history of statistics. She has published widely on lesser-known statistical pioneers in outlets such as CHANCE and Significance, and writes a regular column, This Month in Statistics History, for Amstat News.

She is a member of the American Statistical Association and the Royal Statistical Society, particularly contributing to their history of statistics communities.