Shaw, Julia
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Shaw's organizing idea is that "evil" is not a category but a continuum: the Dark Tetrad (psychopathy, sadism, narcissism, Machiavellianism) are each scalar traits everyone possesses to some degree, and calling someone "evil" functions mainly as a conversation-ending act of dehumanization that lets the speaker avoid asking why the person actually did what they did. She argues nobody is born evil (using the "would you kill baby Hitler" thought experiment to illustrate that traits develop rather than being innate), and that genuine understanding requires "evil empathy" — extending empathy specifically to people whose acts we find most repellent, not to excuse them but because prevention requires understanding the actual psychological and social levers that produced the behavior. She links this to a broader claim that all humans are capable of the worst imaginable acts under the right conditions (citing research that ~70% of men and over 50% of women report having fantasized about killing someone), arguing that murder fantasies are a healthy "dress rehearsal" that lets people simulate consequences and choose not to act, and that cultivating a "heroic imagination" (deliberately imagining yourself intervening, per Philip Zimbardo, whose Stanford Prison Experiment she also discusses) is what actually inoculates people against sliding into complicity — whether as a bystander, a conforming citizen in a genocide, or a corporate employee going along with fraud.
On real crime patterns, she debunks the popular image of murder as calculated and psychopathological: most murders are unplanned overreactions to trivial disputes (owing someone money, a stolen bike), not premeditated acts by "master" villains, and this mismatch between the mundane cause and the catastrophic consequence — the "victimization gap" — is exactly why society gravitates toward more dramatic serial-killer narratives. She notes homicide recidivism is only 1–3%, arguing criminal justice systems are often "upside down": murderers (low reoffense risk) get the harshest sentences while fraud and sexual violence (high reoffense risk) are comparatively under-punished, and she favors restorative-justice models driven by what victims' families actually want. On serial killers specifically (using Robert Pickton, Jeffrey Dahmer as cases), she identifies chronic loneliness and the resulting collapse of "reality monitoring" — the lack of any social tether to check delusional or escalating thoughts against reality — as a recurring structural feature, alongside high scores on dark-tetrad traits. She also discusses lie detection research (police and lay people alike perform at chance despite high confidence, a finding she connects to jealousy, which she frames as almost always a red flag rooted in insecurity or control rather than love, and a documented precursor to intimate-partner violence) and fraud (using the "Tinder Swindler" case to argue victims are not "gullible" but ordinary people exploited via tailored narratives of love and urgency — a vulnerability she warns AI will make more efficient, not less).
On sexuality, Shaw — who publicly came out as bisexual within her book Evil — discusses the history of bisexuality research (Alfred Kinsey's scale, Fritz Klein's more granular grid spanning past/present/ideal identity, attraction, fantasy, and lifestyle), the specific stigma bisexual people face from both straight and gay communities (frequently framed as "a phase" or performative), and documented negative outcomes (higher self-harm, isolation, victimization) tied less to bisexuality itself than to lack of community belonging. She extends similar reasoning to kinks and BDSM, framing their appeal via the "disinhibition hypothesis" — both submissive and dominant roles offer relief from the burden of everyday decision-making and social performance — and stresses that "evil" and "kink" get culturally conflated in true-crime narratives despite having no causal relationship. The second half of the conversation covers her original false-memory research: in her widely-cited PhD study, using leading questions, an "imagination exercise," and manufactured rapport (a prior true memory established first), she got roughly 70% of participants to develop vivid, confident false memories of committing a crime (assault, theft) as teenagers that never happened — establishing that all autobiographical memory is reconstructive and gist-based rather than verbatim-accurate, a finding with direct implications for policing, therapy (she is critical of retroactive-trauma-hunting therapeutic styles), and — she argues at length — generative AI, which she calls "the ultimate false-memory machine" because chatbot interactions structurally resemble the same suggestive social exchanges that implant false memories, with almost no safeguards. She closes discussing Green Crime, her book applying criminal psychology (conformity, rationalization, diffusion of responsibility) to corporate and organized environmental crime (using VW's "Dieselgate" as a case study), and her company Spot, which uses a scripted, AI-administered version of the "cognitive interview" to help people record workplace incidents accurately and resist memory distortion.
Excerpts
On why she rejects "evil" as an analytical category, and what evil empathy is for:
“We all have the capacity to kill and murder people and do other terrible things. The question is, why we don't do those things, rather than why we do do those things, quite often." On empathy specifically: "If we're doing that, then we need to go, 'Okay, but what we actually want is...' We don't really just want to label people. We want to stop that behavior from happening, and the only way we're going to do that is if we understand what led that person to come to that situation.”
On the real, mundane psychology behind most murders, versus the serial-killer myths society prefers:
“What really happens in murder most of the time, which is not what you see on TV because it's really boring... is it's a fight that gets out of control. And if you look at the real reasons stated, it's things like, 'This person owed me $4, and so I killed him.'... It's this bad decision in the moment, an overreaction to a fight... not some psychopath sharpening their knives, waiting for months.”
On why she calls generative AI "the ultimate false memory machine," drawing directly on her own implantation research:
“What we've created with Gen AI is basically the ultimate false memory machine. We have created a tailored experience of something that is most of the time telling you what it thinks you want to hear, and then it's uncritically giving that to you... there's no safeguard from you just going, 'This is truth, and this is my past.'" On her original study: "Just three interviews and you've got 70% of people confessing to a crime that never happened.”