World Model · podcast knowledge graph

The Pocatello Babysitter Murders Replay

2026-06-14 · 67 min · episode 443 · 5 entities

Asserted relationships

  • → hosted by Emash Digital person
    0.55
    evidence rules-v5
    Feed author/publisher: Emash Digital
  • → discusses True Crime podcast
    0.40
    evidence rules-v5
    Feed category: True Crime
  • 0.40
    evidence rules-v5
    Feed author/publisher: Emash Digital & Mike Ferguson, Mike Morford

Entities found in this episode

persons 2

  • mentioned Emash Digital person
    0.70
    evidence rules-v5
    Feed author/publisher: Emash Digital
  • hosted by Emash Digital person
    0.55
    evidence rules-v5
    Feed author/publisher: Emash Digital

podcasts 2

  • mentioned True Crime podcast
    0.50
    evidence rules-v5
    Feed category: True Crime
  • discusses True Crime podcast
    0.40
    evidence rules-v5
    Feed category: True Crime

companys 1

Episode description as stored
Although we aren't covering a new case this week, we wanted to bring you this replay episode from the Criminology vault. It's the case of the Pocatello Babysitter Murders which originally aired on episode 54 in 2019. We will be back with all new episode next week. Between 1978 and 1983, four teenage girls disappeared from Pocatello, Idaho. All four were later found deceased. There were similarities between the victims aside from their ages and gender. They all attended the same school. All went missing during the summer months, and three of the girls were either babysitting or due to babysitting at the time they disappeared. Was this the work of a serial killer or random acts of violence? Join Mike Ferguson and Mike Morford as they discuss the murders of Tina Anderson, Patricia Campbell, Linda Smith, and Cindy Bringhurst. There have been a number of other murders around the Pocatello area, some that have received much attention, and those are discussed as well. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.