Decoding the Gurus
Christopher Kavanagh and Matthew Browne
An exiled Northern Irish anthropologist and a hitchhiking Australian psychologist take a close look at the contemporary crop of 'secular gurus', iconoclasts, and other exiles from the mainstream, offering their own brands of unique takes and special insights.
Leveraging two of the most diverse accents in modern podcasting, Chris and Matt dig deep into the claims, peek behind the psychological curtains, and try to figure out once and for all... What's it all About?
Join us, as we try to puzzle our way through and talk some smart-sounding smack about the intellectual giants of our age, from Jordan Peterson to Robin DiAngelo. Are they revolutionary thinkers or just grifters with delusions of grandeur?
Join us and let's find out!
Leveraging two of the most diverse accents in modern podcasting, Chris and Matt dig deep into the claims, peek behind the psychological curtains, and try to figure out once and for all... What's it all About?
Join us, as we try to puzzle our way through and talk some smart-sounding smack about the intellectual giants of our age, from Jordan Peterson to Robin DiAngelo. Are they revolutionary thinkers or just grifters with delusions of grandeur?
Join us and let's find out!
Episodes
Mentioned books
8 snips
Mar 14, 2026 • 1h 49min
Blindboy, Part 2: Where Have All the Good Men Gone?
Blindboy, Irish podcaster and cultural commentator known for reflective monologues and conspiracy-tinged investigations, appears via clips and anecdotes. The conversation traces muddy-socked loyalty on tour, a missing dressing room, and a sweeping historical arc from 19th-century gangs to CIA programs, Epstein, and neoliberalism. Hosts probe evidence, rhetorical framing, and why tidy, moralizing narratives feel so compelling.
11 snips
Mar 5, 2026 • 2h 21min
Blindboy, Part 1: Unmasking the Evil Elite Cabal
They unpack a masked Irish podcaster’s ASMR whisper‑style storytelling and how it blends politics, mental health, and Irish history. They explore a long, unvetted riff linking Epstein document releases to lurid elite conspiracies and culture‑war origins. They critique emotional leaps, urban‑legend rituals, and claims about elite psychopathy while previewing a follow‑up focusing on more sympathetic portrayals.
22 snips
Feb 27, 2026 • 1h 13min
Decoding Academia: Moral Entrepreneurs, Measurement Issues, & Screentime with Andrew Przybylski (Patreon Preview)
Andrew Przybylski, an Oxford psychologist who studies motivation, gaming, and digital tech. He discusses why panics about smartphones and teens took hold. Measurement problems with self-reported screen time and tiny correlations getting blown up. How controlling confounds often erases effects. Cross-cultural comparability, gaming vs gambling risks, and how public discourse shapes research agendas.
17 snips
Feb 19, 2026 • 34min
Supplementary Material 45: Mick Drops, The Weinstein Conspiracy Hour, and Lessons from History
Two comedians roast recent controversy and podcast culture with sharp banter. They unpack a provocative conspiracy theory linking Epstein to broader patterns and compare it to past moral panics. There is a spirited critique of heavy-handed ad reads and monetization. Historical threads and Game Theory are floated as frameworks without settling on answers.
8 snips
Feb 16, 2026 • 37min
Decoding Academia 35: When Prophecy Fails Debunked? (Patreon Series)
A deep dive into claims that a classic UFO-cult study may have been shaped by researchers rather than observed. They unpack archival accusations of infiltration, staged experiences, and ethical red flags. Conversation covers a large replication that questions classic dissonance effects, survivorship bias in prophecy stories, and how motives and methods can reshape scientific narratives.
17 snips
Feb 12, 2026 • 2h 59min
Teal Swan: All Hail Source
Teal Swan, a spiritual influencer known for New Age teachings, offers grand claims about AI as an ancient cosmic force and a moral hinge for humanity. She discusses AI-driven medicine and aging, multiversal astral negotiations, masculinity and rites of passage, and intense conscious communities with gates testing commitment. The conversation mixes prophetic language, social critique, and unsettling personal framing.
9 snips
Feb 12, 2026 • 23min
Decoding Academia 34: Empathetic AIs? (Patreon Series)
A paper study asks whether AI-written replies are judged as more compassionate than human-written ones. The hosts unpack the rigorous third-party design and why the test is unusually severe. They contrast human and AI response styles, praise open science practices, and explore why fluent, patient AI replies shine on distressing prompts.
13 snips
Feb 9, 2026 • 1h 35min
The Rise of the Science Populists with Sam Gregson and Tim Henke
Tim Henke, a mathematical physicist studying science populism, and Sam Gregson, a physics PhD and science communicator, dissect the rise of science populists in physics. They define the pattern of half-truths and conspiratorial framing. They explore why anti‑institution rhetoric spreads, how entertainers and cranks fuel audiences, and what better science communication might look like.
15 snips
Feb 7, 2026 • 33min
Supplementary Material 44: Peasant Archmages, Moral Panics, and LOTR Parenting Tips
They poke fun at self-styled gurus and decline narratives, including culture‑war recyclers and moral panics. They unpack viral short‑form fantasy trends like a peasant‑archmage story. Conversations drift to weird Epstein links and conspiratorial overreach. Lively detours cover capitalist celebrity culture, laissez‑faire parenting tips, and unexpected Lord of the Rings life lessons.
18 snips
Jan 30, 2026 • 1h 32min
Open Science, Psychology, and the Art of Not Quite Claiming Causality with Julia Rohrer
Julia Rohrer, a psychologist at Leipzig University focused on open science and causal reasoning. She discusses the state of psychology after the replication crisis. Conversation covers limits of open-science reforms, why causal thinking matters even for association studies, how experiments can mislead via post-treatment bias, and practical steps to state causal questions and assumptions clearly.
