Cognitive Engineering

Why can you buy a toaster that can't toast a whole slice of bread? A listener’s dismay sets Fraser, Nick and Peter off on an investigation into everyday products that fail at their basic job. From dripping teapots to unpeelable bacon packaging, why do familiar design problems persist?We distinguish between things that wear out, things that are badly made and things that don’t work even when they work. Along the way, we discuss planned obsolescence and the Phoebus light bulb cartel, survivorship bias and why five-star reviews can tell us so little about long-term reliability.Peter introduces the “doorbell paradox”: we want more sophisticated products, but adding features also creates more opportunities for failure. And Nick offers a surprisingly optimistic conclusion: perhaps good design has already solved more of our everyday frustrations than we notice?Links:Tas's offending toaster and the partially-toasted bread it produces.Appliance brand reliability survey from Which?.The 'Bathtub Curve' of failure rates.A Redditor achieves the impossible and opens a packet of bacon using the pull-tab.Lifetime of electrical appliances becoming shorter and shorter (2016)The Phoebus CartelThe Teapot EffectThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Can you tell whether someone is trustworthy from the moment you meet them? We often feel that we can spot a wrong ’un almost instantly, but how reliable are those gut instincts — and what does the evidence say about our ability to judge other people’s character?In this episode, Fraser, Nick and Peter explore the psychology of bad vibes, starting with a classic exchange from Lord of the Rings between Frodo and Strider about seeming fairer and feeling fouler. From there, the conversation examines what research tells us about first impressions, lie detection, facial features and the traits associated with dishonesty.The discussion also explores why we may be more likely to trust people who seem happy, competent or charming, why entitlement and greed may be more revealing indicators of dishonesty, and how our own confidence in judging character can mislead us.Links:The hobbits discuss Strider's intentions.First impressions happen very quickly.We are not very good at detecting lies.A small number of people are responsible for the majority of lies.We are only modestly good at detecting trustworthiness in faces.HEXACO including the honesty-humility dimension.The overall evidence for accuracy in trustworthiness detection is 'mixed'.First impressions: making up your mind after a 100-ms exposure to a faceThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Whatever happened to the Swiss army knife? Fraser, Nick and Peter explore the history and appeal of the pocket-sized multi-tool.From the Swiss army knife to printers, sporks and cycling tools, the team considers what makes combining functions worthwhile and when adding another feature makes everything less useful. Along the way, they discuss the enormous Wenger Giant, the case for specialist tools, and whether a world where everything fits together inevitably loses something along the way.The 'Wenger Giant' - https://sakukshop.com/product/wenger-giant/This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Can everything be made easier with two questions and four boxes? Fraser, Nick and Peter explore the undying appeal of 2×2 matrices, and ask how they can help us prioritise tasks, classify information and choose an analytical approach.From the Eisenhower matrix to known unknowns, the team discusses what makes a useful matrix, how to choose its axes and why an empty quadrant can prompt an unexpected insight. They also consider when matrices go wrong, the risks of oversimplification, and why you should never trust a man with a cube. Finally, Nick shares some of his most illustrious matrix moments.Quote Investigator on the 'Eisenhower Matrix': https://quoteinvestigator.com/2014/05/09/urgent/Cognitive Engineering episode about personality tests: https://podcast.alephinsights.com/episode/personality-tests/This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

What determines how we respond to approaching threats like moving objects or approaching deadlines? Fraser, Nick and Peter explore how we detect oncoming danger and how that response drives anxiety, fear and procrastination.The conversation begins with locusts watching Star Wars, then moves from collision avoidance to the way humans judge threats. Along the way, the team discusses why diaries can make future obligations feel closer, the time-as-distance metaphor, whether making a deadline feel urgent actually helps and how an endlessly rising sound can create a sense that something is about to happen.Rind and Simmons describe what happens when locusts watch Star Wars: https://pubmed.ncbi.nlm.nih.gov/1479436/Sharp Edge Eye Syndrome: https://pmc.ncbi.nlm.nih.gov/articles/PMC9675685/Threat imminence and the periaqueductal grey: https://pubmed.ncbi.nlm.nih.gov/17717184/Threatening students seem closer than repulsive students: https://pubmed.ncbi.nlm.nih.gov/23160204/This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Did Mark Zuckerberg build one of the world's greatest companies through extraordinary skill, or was he simply in the right place at the right time? Using Meta's $77 billion Metaverse gamble as a starting point, Fraser, Nick, and Peter explore one of the most important questions in business, sport and life: how do we distinguish luck from skill?The conversation ranges from chess and noughts-and-crosses, to Napoleon, David Bowie, Kubrick, Elon Musk and Einstein, examining whether repeated success is the strongest evidence of genuine ability. Along the way, the hosts discuss probability, decision-making under uncertainty, why outcomes alone can be misleading and whether "business genius" is often just survivorship bias in disguise.This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

As large language models become a routine part of office life, a curious workflow is emerging: people ask AI to expand a handful of bullet points into polished reports or emails, only for someone else to ask AI to summarise them back into bullet points.In this episode, Fraser, Nick and Peter ask whether this middle step still serves a purpose, or whether we're witnessing the beginning of the end for traditional written reports. The discussion explores how information is compressed and decompressed, why summaries inevitably lose nuance, and whether AI can sometimes add genuinely useful context rather than simply padding out prose. They also examine the role of language itself, asking whether future communication might move beyond text altogether towards highly personalised, AI-mediated experiences.Along the way they discuss information theory, business communication, the limits of human attention, visual communication, the relationship between language and thought, and some speculative visions of how humans might communicate with AI in the future.YouGov survey - 'How are Britons using AI at work?'Bit rate of spoken languageSpeed of human thoughtBloom's 'Two Sigma' problemThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

"Fake it till you make it" is one of the most repeated pieces of career advice, but does it actually work? In this episode, the team explores the origin of the idea, when it genuinely helps people succeed, and where it crosses the line into deception or outright fraud. From Arnold Schwarzenegger, Richard Branson and Steven Spielberg to Elizabeth Holmes and Sam Bankman-Fried, they examine the fine line between confidence, ambition and dishonesty.Along the way they discuss why some professions are surprisingly easy to "fake" while others expose incompetence almost immediately, the psychology behind behavioural activation and imposter syndrome, and why genuine expertise still matters. The conversation concludes with a practical framework for deciding when projecting confidence is useful, and and when you're better off simply doing the work.This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Elon Musk has become the world's first trillionaire. But is this simply the result of inflation and economic growth, or does it signal that we're entering a new era of wealth creation?In this episode, Nick, Peter and Fraser ask whether today's extraordinary fortunes are genuinely unprecedented or simply the latest point on a centuries-long trend. Along the way they unpack the difference between nominal and real wealth, ask who history's first 'real' billionaire might have been, and examine how technological revolutions have created new extremes of wealth.The conversation then broadens into a discussion about exponential growth, artificial intelligence and the future of capitalism. As AI increasingly replaces cognitive labour, could wealth become concentrated in the hands of those who own the technology rather than those who work? If so, what happens to employment, economic growth and the social contract?SpaceX acquires CursorFirst dollar millionaire - John Jacob AstorFirst dollar billionaire - John D RockefellerHolden Karnofsky, 'The Most Important Century'Thomas Young, 'The Last Man Who Knew Everything'This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Why do people spend extraordinary amounts of money on objects that seem to serve no practical purpose? And what exactly separates luxury from quality?Inspired by the case of former SNP chief executive Peter Murrell's misuse of party funds for high-end personal purchases, Fraser, Nick and Peter use a series of examples to explore the deeper psychology of luxury.The conversation moves beyond political scandal into philosophy, economics and psychology, asking why humans are drawn to unnecessary things, whether luxury serves a genuine purpose, and where the line lies between excellence, indulgence and excess.This podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp