Effectively Wild Episode 1801: Split End
Ben Lindbergh and Meg Rowley banter about the demise of the Rays’ two-city, split-season scheme, Carlos Correa hiring Scott Boras as his agent, and Brandon Gomes of the Dodgers becoming the latest ex-player to ascend to GM, then (31:18) talk about numerous listener nominations of baseball events that predated the podcast that would have made great fodder for Effectively Wild, before closing with a Stat Blast (1:05:20) about the biggest intra-season gaps between Triple-A and MLB performance (plus a postscript about robot umps coming to Triple-A in 2022).
Audio intro: The Smiths, “I Won’t Share You”
Audio outro: Flamin’ Groovies, “Ups and Downs”
Link to news about Rays plan
Link to Sternberg quote
Link to Evan Drellich on Endeavor
Link to Drellich on Endeavor again
Link to Ben Clemens on Endeavor
Link to MLBTR on Correa
Link to Travis Sawchik on Boras
Link to Gomes profile
Link to Facebook suggestions thread
Link to story about two balls in play
Link to story about Raines and collusion
Link to Sonnanstine story
Link to Allan Travers SABR bio
Link to hitter Stat Blast data
Link to pitcher Stat Blast data
Link to Ben on experimental rules
Link to robot umps news
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.
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.