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Accuracy vs precision

March 13, 2023 By editor

I recently conducted an inter-rater reliability study for a client. There was some confusion about what this measures. Inter-rater reliability measures agreement. It's a measure of precision, not accuracy. As anyone who's been on social media knows, it's possible for everyone to be in complete agreement, yet utterly wrong. The following diagram summarises the difference between precision and … [Read more...]

Filed Under: Decision science Tagged With: accuracy, inter-rater reliability, precision

It’s not because we have insufficient data…

February 27, 2023 By editor

In 1998, Neil Postman wrote critically about the Age of Information. If there are children starving in the world—and there are—it is not because of insufficient information. [...] If there is violence on our streets, it is not because we have insufficient information. If women are abused, if divorce and pornography and mental illness are increasing, none of it has anything to do with insufficient … [Read more...]

Filed Under: Data science, Machine learning Tagged With: data, information

Large Language Models

February 19, 2023 By editor

Stephen Wolfram has written a comprehensive description of how Large Language Models (LLMs), such as ChatGPT, work. … [Read more...]

Filed Under: Machine learning Tagged With: ChatGPT, LLM

Spreadsheet disasters

February 13, 2023 By editor

Matt Parker describes what happens when spreadsheets go wrong in the BBC's "More or Less: Behind the Stats" podcast. I've been writing about this for over a decade and, sadly, little progress had been made. The cartoon is from xkcd, obviously. … [Read more...]

Filed Under: Data analysis Tagged With: data quality, spreadsheets

10 ways to mislead with data visualization

February 7, 2023 By editor

PolicyViz have published a useful article on errors you really need to avoid when creating data visualizations. … [Read more...]

Filed Under: Data analysis, Data science Tagged With: mistakes, visualization

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Recent posts

  • Accuracy vs precision
  • It’s not because we have insufficient data…
  • Large Language Models
  • Spreadsheet disasters
  • 10 ways to mislead with data visualization

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