Latest blog posts: Explaining everyday stats we see

  • Calling a seat on election night
    How can they call a seat with under 6% of the vote counted on election night? This interesting question was sent in by a follower, and having never given it much thought before, here’s what I found out.
  • Challenges in communicating probabilities
    Which do you expect to witness more often in your lifetime, Powerball/Lotto jackpot winners or one-in-1000 year floods? Language choice around probabilities can be key!
  • Death dates, and how we get there
    What information is available on our life expectancy, and what factors influence this beyond expected health factors?
  • Understanding weather forecasts
    Do you know what the weather forecast numbers and terminology used by the Bureau of Meteorology (BOM) mean? Delve into the probabilities and percentages of rain.
  • Simplifying stats around drug deaths
    I was excited to see a recent release on the HealthStats NSW website that I was involved in, providing insights into illicit drug deaths in NSW. This project was almost complete when I left the HealthStats NSW team, and people from various teams were involved over many years, so it is great to now see this publicly released. 
  • Turning my teaching dreams into a statistically significant reality
    Many years ago, I dreamed of designing and delivering my very own courses – delivering content that makes statistics accessible to everyone, especially those without a maths degree. I did the usual thing: 1. Uni tutor, 2. PhD graduate and 3. Lecturer, but this dream didn’t fit into the academic system. Thus, Simplify Stats was born!