John Burn-Murdoch is a chief data reporter at the Financial Times. He writes the weekly Data Points column, utilizing statistics and graphics to explore pressing issues such as the economy, climate change, social issues, and healthcare. His work has been featured in ChannelNewsAsia, The Australian Financial Review, Financial Times, New Zealand Herald, Yahoo Finance, and The Irish Times.
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John Burn-Murdoch's articles predominantly focus on opinion editorials and data-driven analysis covering a wide range of topics such as world affairs, health, government & politics, and culture & society. His pieces often cite data to support his arguments.
Given the nature of his coverage, John would likely be interested in engaging with experts who can provide well-researched insights into social inequality, climate change, economy, politics or generative AI. He may particularly value sources that can contribute factual data or empirical evidence to support their perspectives.
As for reaching out to him with pitches or commentary contributions related to ongoing debates around these topics might be most successful if they offer unique angles supported by credible information and research.
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This and more findings from our new poll of AI usage by thousands of US and UK workers
Whether or not new technologies can perform a task is only a tiny part of the picture
A steep increase in ‘vibe litigation’ appears to be expanding the market for legal activity
A crude blend of very different statistics is not the best tool for the job
By: John Burn-Murdoch, Sarah O'Connor
For Africa, opportunities may lie in sequencing
By: John Burn-Murdoch, Sarah O'Connor
Self-reported estimates about how quickly work can be completed are not the most meaningful metric
Homes and phones are part of the reason for the demographic shift changing our world
Productivity gains may be cancelled out by the public’s own use of the technology when interacting with authorities
By: John Burn-Murdoch
America is making progress in driving down violent deaths and those from some dangerous diseases
Different models are producing very different assessments of exposure levels
