#305 - STM Express - The Swanson Motel Murders - Dickinson, North Dakota
This week, in Dickinson, North Dakota, a grisly, and horrifying scene is found in a small town motel, populated by transient oil workers, and drifters, of all types. The problem is that no one in this tiny police department had ever dealt with a double homicide, and it shows. The case goes cold, after years pass, but eventually FBI agent John Douglas puts a profile together, that matches one of the original suspects, perfectly. When they track this man down, they find out he's definitely murdered another woman, and is wanted for being a suspect in many more, across multiple states. It looks like the beginning of uncovering the depths of a serial killer... until it all stops cold. A crazy story, with a wild ending!!
Along the way, we find out that you shouldn't ever be outside, past 5pm in North Dakota, that you should never trust anyone who has ever worked at a carnival, and that sometimes, FBI profiles can be incredibly accurate!!
Hosted by James Pietragallo and Jimmie Whisman
New episodes every Thursday!
Donate at: patreon.com/crimeinsports or go to paypal.com and use our email: crimeinsports@gmail.com
Go to shutupandgivememurder.com for all things Small Town Murder & Crime In Sports!
Follow us on...
twitter.com/@murdersmall
facebook.com/smalltownpod
instagram.com/smalltownmurder
Also, check out James & Jimmie's other show, Crime In Sports! On Apple Podcasts, Spotify, Amazon Music, Wondery, Wondery+, Stitcher, or wherever you listen to podcasts!
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.