More or Less Behind the Statistics
More or Less Behind the Statistics

How many holes are there in a drinking straw?

Tim Harford talks to Jordan Ellenberg, professor of mathematics at the University of Wisconsin at Madison, about the pandemic, geometry and drinking straws. (multi-coloured straws/Getty images)

Featured Speakers

BBC HostJordan Ellenberg Guest

Topics Discussed

Episode Summary

Executive Summary: Tim Harford interviews mathematician Jordan Ellenberg about his book "Shape," using the classic riddle of how many holes are in a straw to show how geometry and topology sharpen thinking. The discussion extends to trousers, definitions, and why readers must scrutinize statistical claims—especially in COVID coverage—by asking what words like "prevent" and "effective" actually mean.

Main Topics: The straw-hole puzzle and mathematical definitions (Priority: 5/5): Ellenberg explains why the number of holes in a straw is not as obvious as it seems, and how topology helps define such concepts rigorously. Trousers as a geometric thought experiment (Priority: 5/5): The conversation uses trousers/pants to test intuition: depending on how one counts and transforms the shape, the number of holes appears to change, revealing the importance of definitions and equivalence. Healthy bewilderment as a route to insight (Priority: 4/5): Ellenberg says mathematical puzzlement is useful because changing the problem can expose hidden assumptions and lead to deeper understanding. Counting and definitions in statistics and media (Priority: 5/5): Harford connects the geometry riddle to journalism and data literacy, stressing that many disputes are actually disagreements over definitions. COVID and the meaning of "prevent" and "effective" (Priority: 5/5): The speakers discuss how public confusion around vaccines often comes from different meanings of key terms, not necessarily falsehoods, highlighting the need for precise language in science communication. Practical skepticism for readers (Priority: 4/5): Ellenberg advises maintaining healthy skepticism without sliding into nihilism, and to ask what every word in a claim is meant to mean before accepting it.

Key Arguments: Mathematical problems often become clearer when you change the object or framing of the question, as with straw versus trousers. A pair of trousers can be used to reason about holes because a waist hole can be seen as the sum of two leg holes, illustrating geometric additivity. Holes are not just everyday-language objects; in topology, they can be treated arithmetically, which explains why some shapes that look different are mathematically equivalent. Many arguments in public life are actually disputes about definitions, not facts, so clarifying terms is essential. In vaccine discussions, "prevent" may mean "make impossible" in everyday speech, but in scientific use it often means "make much less likely." A claim like "90% effective" is incomplete unless the underlying outcome being measured is specified; effectiveness could refer to infection, hospitalization, or death. Readers should cultivate healthy skepticism: question definitions, but avoid concluding that nothing can be known.

Data Points: Vaccine effectiveness: 90% effective - Used as an example of a statistic that can be misleading unless the outcome and trial method are clearly defined. Risk reduction interpretation: 10 times less likely - Harford explains that a 90% effective vaccine means the disease is about ten times less likely than without vaccination, not a simple 10% infection chance. Age of Ellenberg's daughter: about to turn 11 - Ellenberg cites his daughter's insight on the trousers-hole puzzle.

Pivotal Quotes: "what is a hole? Is there a definition that makes sense?" — Jordan Ellenberg: Introduces the central mathematical puzzle behind the straw example. "from bewilderment that insight comes" — Jordan Ellenberg: Explains why mathematical confusion can be productive. "try to understand what that word effective means in different contexts" — Jordan Ellenberg: Advice on interpreting vaccine statistics and media claims.

Implications: Listeners are urged to interrogate definitions before trusting numbers or headlines. The segment suggests better science and data literacy comes from precise language, not just more data, especially in public-health communication.

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About More or Less Behind the Statistics

Tim Harford and the More or Less team try to make sense of the statistics which surround us. From BBC Radio 4

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