cover of episode EP42: Sex Parts: Severed and Stored

EP42: Sex Parts: Severed and Stored

2023/11/29
logo of podcast Psychopedia

Psychopedia

AI Deep Dive AI Chapters Transcript
People
H
Hank Sinatra
I
Investigator Slater
Topics
Hank Sinatra: 本集探讨了香港首例已知连环杀人案——雨夜屠夫林过云案。通过对老式胶卷冲印店的描述,引出了案件的背景,并对案件的发现过程、凶手的作案手法、动机以及受害者进行了详细的叙述。同时,也探讨了凶手童年经历对其犯罪行为的影响,以及社会对案件的反应。 Investigator Slater: 本集详细讲述了香港雨夜屠夫林过云的犯罪过程,从其童年经历、家庭环境、性变态倾向到最终被捕入狱。节目中不仅描述了林过云残忍的作案手法,包括对受害者进行肢解、保存器官等细节,还分析了其犯罪动机,以及警方破案的经过。此外,节目还探讨了林过云的精神状态,以及他是否应该为自己的行为负责。 Hank Sinatra: 本集节目通过对林过云案的深入分析,探讨了童年创伤、家庭环境以及个人心理因素对犯罪行为的影响。节目中,我们不仅关注了林过云的犯罪行为,也关注了受害者及其家人的遭遇,并呼吁社会关注心理健康问题,预防类似悲剧的发生。同时,节目也反思了社会对犯罪的认知和处理方式。

Deep Dive

Chapters
Lam Kor-Wan's upbringing and family dynamics are explored, setting the stage for his later actions.

Shownotes Transcript

In August of 1982, within the confines of a Hong Kong photo development shop, a gruesome sequence of images emerged from a roll of film. It began with a lifeless, naked woman sprawled on a plastic sheet atop a carpeted floor. However, as the film continued to develop, a macabre series of obscene pictures surfaced, featuring close-ups of the victim's intimate areas, cuts on her flesh, and what appeared to be a horrifying human dissection. The most haunting image, however, was the last one—a vivid portrayal of a severed, mutilated breast sitting beside a blood-soaked chainsaw. This is the chilling tale of Lam Kor-Wan, Hong Kong's first known serial killer, also known as "The Rainy Night Butcher," who meticulously destroyed, dissected, dismembered and preserved his victims' sexual organs in plastic containers beneath his bed. His horrific actions cemented Lam Kor-Wan as one of the most depraved individuals to have ever walked among us.

 

Instagram + Threads: @psychopediapod @tank.sinatra @investigatorslater

Patreon: www.patreon.com/psychopediapod

Email: [email protected]

Website: www.psychopediapodcast.com

The co-hosts of this podcast were not present at the time(s) of the events described.  Consequently, the information contained in this podcast was obtained from third-party resources and research which we relied upon.  As such, we are unable to guarantee the absolute accuracy, completeness, usefulness and/or  timeliness of the content(s) of this podcast, and assume no liability for any errors and/or omissions as to such content, and/or any offered opinions and/or comments.

 

To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy)

Learn more about your ad choices. Visit https://podcastchoices.com/adchoices)