The Rest Is Science
The Rest Is Science

Hannah Ranks Michael's Bizarre Watches

August 19, 2026 • 54m

Summary

⏱️ 6 min read

Overview

Hannah Fry and Michael Stevens explore novelty watches from Michael's collection, discuss Bayesian reasoning and probability, examine mathematical learning differences, and answer listener questions about logic and self-efficacy in mathematics.

Michael's Collection of Novelty Watches

Michael shares several quirky watches from his personal collection, explaining that he prefers novelty items over expensive timepieces. The watches range from philosophical to mathematical, each with its own unusual twist on telling time. Hannah provides commentary and rankings on each piece, showing particular enthusiasm for watches with practical applications while expressing disdain for those that complicate time-reading unnecessarily.

  • The 'Now' watch displays only the word 'now' instead of actual time, serving as a philosophical reminder that we only ever exist in the present moment
  • A counterclockwise watch runs backwards, requiring users to relearn how to read time in reverse direction
  • The radian watch uses mathematical units (2π radians) instead of traditional 1-12 numbering, showing how many radii fit around the circle
  • A 1995 Apple Watch - a quartz movement watch given free with Microsoft System 7.5 purchase, 20 years before the modern Apple Watch
  • A tactile watch uses ball bearings caught on magnets to tell time by touch, useful for blind people or working in darkness
  • A 24-hour Russian Sturmansky watch commemorating Alexei Leonov's 1965 spacewalk, with the hour hand completing one rotation per day
" It will never be tomorrow. Because as soon as the next day comes, it's today. Tomorrow's always out of reach. The past is always out of reach. All we have is what this watch can give you, which is to tell you that it's now. "
" They fit different genres of item like it's a watch, it's a book, but it's never a expensive thing. It's a weird thing. "

Bayesian Reasoning and Probability

Hannah explains Bayesian reasoning through an elegant beanbag metaphor, describing how continuous evidence gathering allows us to infer unknown information. The discussion explores how our brains naturally function as Bayesian machines, constantly updating beliefs based on new sensory information. They examine how emotions and survival instincts can rationally influence our probabilistic thinking rather than undermining it.

  • Bayesian reasoning involves throwing beanbags over your shoulder while a friend tells you their position relative to a hidden red beanbag, allowing you to infer the red beanbag's location
  • Our brains work as Bayesian machines, using sensory input to constantly update beliefs about reality within our 'locked off black box' skulls
  • With Bayesian thinking, you are never absolutely sure - there is always room for doubt, even when the world repeatedly confirms your expectations
  • Bayesian reasoning means collecting evidence and updating your current best guess rather than calculating absolute certainties
  • Fear and emotion aren't necessarily irrational - heavily weighting your prior belief in danger (like expecting tigers) is smart Bayesian updating for survival
  • The sunk cost fallacy may not be a fallacy at all - your identity becomes wrapped up in commitments, making continued investment rational
" We evolved to survive, not calculate the truth. "
" Your brain does a little jump. It's sort of correcting its own version of reality. Sort of expecting it to move and then the evidence from your input says that it isn't so you're kind of you have to update and that little jump that you get the little jolt that you get is your bayesian brain being like okay but we've made a prediction it didn't turn out to be right we need to update our understanding of the world. "

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