On journalism and writing

Statistics, biases and pitfalls 

  • Tom Chivers and David Chivers (2021) How to read numbers: a guide to stats in the news (and knowing when to trust them). London: W&N
  • David Spiegelhalter (2019), The Art of Statistics: learning from data. London: Penguin.
  • Michael Blastland and David Spiegelhalter (2014), The Norm Chronicles: stories and numbers about danger. 
  • Caroline Criado Perez (2019) Invisible Women: Exposing Data Bias in a World Designed for Men. London: Chatto & Windus
  • Darryl Cunningham (2013), Science Tales: Lies, Hoaxes and Scams. (Graphic novel) London: Profile Books.
  • Factfulness: Ten Reasons We're Wrong About The World - And Why Things Are Better Than You Think

Additional courses and resources

  • The Knight Center for journalism runs a number of free or low cost distance learning courses covering specific aspects of journalism, such as how to cover pandemics. 
  • On the origin of science writers, The Open Notebook (The Open Notebook in general is an excellent ongoing source of lessons and databases on the craft of science journalism, including an unparalleled database of pitches and annotated works)
  • Nieman journalism lab. All the latest from the cutting edge of journalism developments and stories from the craft of journalism.
  • Journalism.co.uk. Offers UK based journalism industry news, useful tips, courses and podcasts as well as a jobs board.

Recommended outlets:

The Association of British Science Writers is registered in England and Wales under company number 07376343 at 76 Glebe Lane, Barming, Maidstone, Kent, ME16 9BD.
Log in | Powered by White Fuse