Awards for statistical excellence in journalism

Winners announced in 2010 awards for statistical excellence in journalism

The Society recognises statistical excellence in journalism through its awards each year. Awards are made to those who question, analyse and investigate the issues that affect society through statistics. 

The 2010 awards recognise work published in the period 1 January 2009 to 31 December 2009.

Work broadcast on television or radio - winner

More or Less, BBC Radio 4 (producer Richard Knight)

For a report on statistics of domestic violence, broadcast 15 May 2009

This was an excellent report showing how sources can be checked with clear explanations of concepts and terminology, and a good use of experts. In addition, the report made important points about the difficulty that can be had in collecting data, particularly when addressing sensitive social issues.

Work published in print or online - winner

Mark Easton, BBC News online

For Project Blueprint: 'Not sufficiently robust'

This investigative blog article brought important attention to bear on a report on a government initiative that lacked statistical robustness in both what was done and how it was evaluated. The explanation of the failings was clear and the style of reporting appropriately engaging, with a good use of expert commentary.

Work published in print or online - runner-up

Helen Rumbelow, The Times

For Exposing the myths of breastfeeding

This article carefully investigated the evidence for the strength of the claims being made regarding a matter of 'received wisdom'. Statistical terms were well explained and a good range of sources reported, providing information and argument that would allow readers to form their own judgments or to find out more.

Work published in print or online - special commendation

Simon Rogers, The Guardian

For Datablog

This initiative was innovative in providing access to statistical information to the public. There was novel use of techniques such as data-mashing and of engaging readers in crowd-sourcing . Graphical interpretations of data were well-visualised, and there was commendable openness with data, providing it in easily accessible ways and clearly identifying sources.