Main content

More or Less Episodes

  1.

    Covid plasma therapy

    Claims about a Covid-19 treatment, breast cancer screening, and 18th century sex workers.

  2. A-level algorithms, poker and buses

    We unpick the A-level algoshambles and discover what poker teaches us about statistics.

  3. Hawaiian Pizza, Obesity and a Second Wave?

    Covid-19 cases are rising in the UK, is it a sign of a second wave of the virus?

  4. Why Did the UK Have Such a Bad Covid-19 Epidemic?

    Bad decision-making, bad advice, or bad luck?

  5. Child Poverty, School Inequality and a Second Wave

    As lockdown eases, why hasn't there been a spike in infections?

  6. Quarantine, Test and Trace and BODMAS

    Is it true that Covid-19 mostly kills people who would die soon anyway?

  7. Antibody tests, early lockdown advice and European deaths

    Are more people are dying of Covid-19 in the UK than all the EU countries put together?

  8. False negatives, testing capacity and pheasants

    How accurate are the swab tests used to diagnose Covid-19?

  9. Obeying lockdown, flight arrivals, and is this wave of the epidemic waning?

    Does the data show this wave of the epidemic is waning in the UK?

  10. School re-opening, Germany鈥檚 Covid success and statistically savvy parrots

    Will re-opening some schools put children or their teachers at risk?

  11. Vitamin D, explaining R and the 2 metre rule

    Is Vitamin D an under-appreciated weapon in the fight against Covid-19?

  12. Testing truth, fatality rates, obesity risk and trampolines.

    Did the UK really carry out 100,000 coronavirus tests in one day?

  13. Ethnic minority deaths, climate change and lockdown

    Are doctors from ethnic minority backgrounds disproportionately affected by Covid-19?

  14. Comparing countries, the risk to NHS staff, and birdsong

    We compare Covid-19 rates around the world. When is the UK going to be past the worst?

  15. Coronavirus deaths, face masks and a potential baby boom

    Is the coronavirus death count misleading because of delays in reporting?

  16. Supermarket stockpiling, A-level results and Covid-19 gender disparity

    Is the coronavirus pandemic having a different impact on men and women?

  17. Coronavirus special

    The risks of Covid-19 for different age groups and what restrictions mean for the economy

  18. Coronavirus, Jam, AI and Tomatoes

    Covid-19 stats, spreading jam far and wide, cooking with AI, plus James Wong on vegetables

  19. Tracking Terror Suspects

    Costing counter-terrorism, interrogating tomatoes, the UK's reading age, politics and GDP

  20. Coronavirus, emotions and guns

    Numbers that matter in measuring outbreaks, smelly stats around scent and more.

  21. Netflix and Chill

    The carbon consequence of streaming, stats on sepsis and stretching Bill Bryson to Pluto

  22. Going, going Ghosn

    Quantifying justice in Japan, the cost of Brexit, alligator speed and Liverpool FC's luck

  23. Australian Animal Deaths, Carbon Emissions, Election Mystery

    How many animals have died in Australia and how many Labour voters went Conservative?

  24. Election Special (2/2)

    Labour spending plans, Conservative claims on homelessness, the SNP's education record.

  25. Election Special (1/2)

    50,000 nurses? 40 hospitals? Corporate tax rises? Tim Harford looks at Election pledges.

  26. New hospitals promised, Aid to Ukraine, Bacon sandwiches

    Dissecting the government鈥檚 hospitals announcement and President Trump鈥檚 Ukraine claims.

  27. Austerity Deaths, C-Sections and being struck by lightning.

    Has Austerity caused 120 thousand deaths in the UK and does God hate men?

  28. Dementia, inflation and shark deaths

    Health risks for presidential hopefuls, falling inflation, shark deaths and salary claims

  29. Maternal deaths, taxi driver earnings and statistical pop music

    Are black women five times more likely to die in childbirth? Plus making pop music.

  30. Climate deaths, Austerity, Pet food

    Challenging the idea of six billion deaths due to climate change; plus what pets eat.

  2. 1
  3. …
  4. 2
  5. 3
  6. 4
  7. 5
  8. 6
  9. …
  10. 13