Effectively Wild Episode 1784: Have You Heard The Rumor?
Ben Lindbergh and Meg Rowley banter about the reasons for and consequences of MLB’s lack of compelling record chases (à la Alex Ovechkin’s in the NHL, Stephen Curry’s in the NBA, and Tom Brady’s in the NFL). Then (21:16) they talk to Sam Dingman and Mac Montandon, the hosts of The Rumor, a just-completed six-part narrative podcast about a rumor that a fight between Cal Ripken Jr. and Kevin Costner caused the Orioles to cancel a game to preserve Ripken’s consecutive-games streak, touching on the origins, prevalence, and plausibility of the rumor, their reporting process, baseball hero worship, the interviews they wish they could have done, the appeal of baseball rumors, ideas for The Rumor Season 2, and more.
Audio intro: Ian Hunter, “Old Legends Never Die”
Audio interstitial: The Records, “Rumour Sets the Woods Alight”
Audio outro: Electric Light Orchestra, “The Lights Go Down”
Link to Sam Miller on unbreakable records
Link to Sam on hitting .400
Link to Sam on a 21-strikeout game
Link to Neil Paine on Ovechkin
Link to Zach Kram on Curry
Link to USA Today on Brady
Link to article on Franco’s on-base streak
Link to research on days off and offense
Link to The Rumor
Link to Vulture interview about The Rumor
Link to video of record-breaking Ripken game
Link to Secret Base video about the rumor
Link to Randy Johnson EW interview
Link to story on Jeter’s gift baskets
Link to “Yeah Jeets” story
Link to Paul Pierce pooping story
Link to Ripken’s 2001 ASG homer
Link to article about “pipe shots”
Link to Emma Baccellieri on baseball mud
Link to Patreon trivia contest
Link to Stove League teaser video
Link to stream Stove League via Kocowa
Link to stream Stove League via Viki
iTunes Feed (Please rate and review us!)
Sponsor Us on Patreon
Facebook Group
Effectively Wild Wiki
Twitter Account
Get Our Merch!
Email Us: podcast@fangraphs.com
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.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Memorable statements and important claims with attribution and source context.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
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.