We are delighted to announce that Joseph Lam is the winner of the 2024 Statistical Excellence Award for Early-Career Writing.
Judges awarded Joseph’s article “Terminating bias: how Arnold Schwarzenegger helped us understand linkage errors and biases” the top prize after much deliberation in a year of excellent entries. They praised its “clever and engaging approach to what is an increasingly important issue”, as well as Joseph’s skill in keeping the article “interesting… without becoming overly detailed/technical”. It was also described as “humorous and insightful”, “relatable in ever more diverse societies” and “very cool and highly original”.
Congratulations to Joseph – “Terminating bias” will be published in a future issue of Significance.
Jointly organised by Significance and the Young Statisticians Section of the Royal Statistical Society, the competition forms part of the RSS Statistical Excellence Awards programme whose Awards ceremony took place in London on the evening of 10 July,
Judging took place throughout June, and this year’s shortlist (in alphabetical order) was:
Owen Birch
Have NBA players found the fountain of youth?
Fabio Feser
Which Premier League team has the most impactful fans?
Joseph Lam
Terminating bias: how Arnold Schwarzenegger helped us understand linkage errors and biases
The following (in alphabetical order) are Highly Commended:
James Jackson
Modigliani, Fake or Fortune? and the method of multiple systems estimation
Ashley Mullan
For better or for worse: the kiss effect on television ratings
Joe Rutherford
Fantastic cheats and where to find them
The three finalists have been invited to present papers based on their articles at the RSS 2024 Annual Conference in Brighton from 2-5 September. The winning article will be published in a future print edition of Significance and online. Runners-up will also be published online.
