The June 2017 issue of Significance is out now in digital formats. In this issue, historians use a naval battle of the First World War to explain how Bayesian thinking helps them reason with the uncertainties of the past. We profile Lord Woolton, Britain’s Minister of Food during the Second World War, who used statistics (and more) to prevent the nation from starving. And we have an exclusive excerpt from the new book by David S. Salsburg, author of The Lady Tasting Tea.
Also this issue:
- An economist argues that big data may not be quite the game changer that was promised to those looking to predict stock market performance, especially with the ever-present danger of spurious correlations.
- We learn why the “most popular” baby names might not be the most popular – which is something to keep in mind the next time baby-name rankings are published.
- Data scientists apply machine learning to conference abstracts to speed up the event-planning process; and
- A biostatistician tracks the ups and downs of her own pregnancy weight gain.
If you are a print subscriber, your June issue will be arriving soon.