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  1. Why does analytical leadership matter? What we’ve found so far 

    In our latest blog, Regulator Nicky Pearce discusses our work on analytical leadership so far and the next steps. Why are we looking into analytical leadership?  In OSR, we believe that strong analysis can inform decisions that help improve the lives of citizens. We saw first-hand how data and analysis entered the spotlight during the […]

  2. There’s more to statistical communication than avoiding truncated axes…

    In our latest blog, DG for Regulation Ed Humpherson and Head of Casework, Elise Baseley talk about the importance of communication to make statistics accessible and meaningful. There’s more to statistical communication than avoiding truncated axes. It’s about making statistics accessible, meaningful, perhaps even enjoyable, for people. At the Office for Statistics Regulation, we’ve recently […]

  3. The journey to improving income-based poverty statistics

    The Office for Statistics Regulation (OSR) recognises the important role that organisations play, both within and outside of Government, in seeking to understand poverty through data and statistics. In response to our ‘income-based poverty’ review published in 2021, in our latest guest blog, Ainslie Woods, the Income and Earnings Coherence Lead at the Office for […]

  4. A day in the life of a Regulator

    In our latest blog, Job, one of our regulators,  demystifies the job of a statistics regulator. Statistics regulator. It’s quite a strange-sounding job. If you asked a random person on the street what they think a statistics regulator does, they would probably say that it’s someone who regulates statistics. But if you asked them what […]

  5. What 2023 means for OSR

    Ed Humpherson reflects upon the past year and sets out OSR’s priorities for the 2023/24.

  6. How to communicate uncertainty in statistics

    Mark Pont explores the themes discussed in OSR’s Approaches to presenting uncertainty in the statistical system report and answers questions on how to communicate uncertainty in statistics.