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Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever.
In How to Tell the Truth with Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial.
How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
256 pages, Kindle Edition
First published March 28, 2019
Dr. Hans H. Neumann, who was director of preventive medicine at the New Haven Department of Health, explained the problem in a letter to the New York Times. He wrote that if Americans have flu shots in the numbers predicted, as many as 2,300 will have strokes and 7,000 will have heart attacks within two days of being immunized. “Why? Because that is the number statistically expected, flu shots or no flu shots,” he wrote. “Yet can one expect a person who received a flu shot at noon and who that same night had a stroke not to associate somehow the two in his mind? Post hoc, ergo proter hoc,” he added. (p. 161)
As Ronald Fisher famously put it, 'To consult the statistician after an experiment is finished is often merely to ask him to consult a post mortem examination. He can perhaps say what the experiment died of.'