

More or Less
BBC Radio 4
Tim Harford explains - and sometimes debunks - the numbers and statistics used in political debate, the news and everyday life
Episodes
Mentioned books

Apr 5, 2016 • 9min
WS More or Less: The Great EU Cabbage Myth
Debunking the myth of 26,911 words of EU cabbage regulations, tracing it back to American origins. Exploring the evolution of EU cabbage regulations and highlighting unique standards for optimizing crop yield.

Apr 4, 2016 • 28min
The Great EU Cabbage Myth
Debunking the myth of EU regulations on cabbage being 26,911 words long, exploring the impact and origins of this misconception. Investigating the effectiveness of academies in England and the claims made by a popular reality TV show on contributing a billion pounds to the UK economy. Examining the reliability of food surveys and the challenges in gathering accurate data on food consumption.

Mar 24, 2016 • 9min
WSMoreOrLess: Safe drinking
Professor David Speigelhalter discusses the new UK alcohol guidelines, debunking myths about alcohol benefits, exploring complexities of alcohol research and health impacts, and highlighting discrepancies in self-reported alcohol consumption. The podcast delves into the controversy around defining safe drinking limits and compares risks of moderate alcohol consumption to other daily activities.

Mar 18, 2016 • 9min
WSMoreOrLess: Mobiles or lightbulbs
Lawyer Gerald Abila calculates more phones than lightbulbs in Uganda. Thyroid cancer spike post-Fukushima linked to screening, not radiation. Epidemiologists question alarmingly high cases found in under-19 scans, citing likelihood of increased cases from extensive testing.

Mar 11, 2016 • 9min
WSMoreOrLess: Can we trust food surveys?
Christie Aschwanden, FiveThirtyEight's lead writer for science, discusses the challenges and pitfalls of food surveys. She explores the difficulties in accurately recalling food consumption habits and the complexities of quantifying food intake. The podcast also delves into surprising correlations between food choices and unique personal characteristics, emphasizing caution in drawing causal relationships from correlations.

Mar 4, 2016 • 9min
WSMoreOrLess: Fact checking The Big Short
Exploring the truth behind the statistic from The Big Short that ties unemployment to mortality rates. Delving into the debate over the UK's economy as the fifth largest in the world. Fact-checking controversial claims and examining the impact of unemployment on society.

Feb 26, 2016 • 9min
WSMoreOrLess: Antibiotics and the problem of the broken market
Delving into the broken market of antibiotics, the podcast discusses the economic challenges that hinder research and development. It highlights the urgency of finding solutions to combat antibiotic resistance and the innovative approaches needed to incentivize pharmaceutical companies to invest in this crucial area of medicine.

Feb 19, 2016 • 9min
WSMoreOrLess: When £10,000 isn’t a good incentive
Professional snooker player Ronnie O'Sullivan discusses the impact of incentives on performance, touching on the delicate balance between motivation and pressure in sports. The podcast also delves into how incentives can affect intrinsic motivation, using examples like blood donation and nursery school penalties. Additionally, the intricacies of measuring coastlines and the complexities of mapping them are explored, highlighting the intricate nature of coastline measurements.

Feb 15, 2016 • 9min
WSMoreOrLess: Fishy numbers?
Exploring the alarming prediction of more plastic than fish in the ocean by 2050, debunking the fishy statistics. Delving into the probability of sharing birthdays with two children, analyzing the likelihood based on UK family statistics and birth date distribution.

Feb 12, 2016 • 28min
Selfies, sugar daddies and dodgy surveys
Questionable research on selfie habits and sugar daddy students, debunked. Discussion on the impact of birth month on academic performance in children. Exploring predictions about plastic overtaking fish in oceans by 2050 and shifts in government spending priorities. Misinterpretation of statistical significance highlighted.


