Effectively Wild Episode 1910: Broken Record
Ben Lindbergh and Meg Rowley banter about the fight for the third wild card in the National League and the way in which the expanded playoff format shifts attention toward middling teams, appreciating postseason success and regular-season success, the regular-season dominance of the Dodgers, home-run-record derangement syndrome (17:52) and a middle ground between the warring absolutists worked up one way or another about Aaron Judge (or pitchers not pitching to him), a better name for the combined cycle, a suspicious Carlos Correa quote, a counterintuitive observation about Yadier Molina’s basestealing suppression, Tony La Russa reportedly not returning to the White Sox next season, Rich Hill planning to pitch again, pedantic questions (1:13:01) about non-baseball ballparks, payoff pitches, and long balls vs. big balls, plus a new name for the Grand Junction Rockies, a new use for a descending mound, and a Past Blast (1:26:09) from 1910.
Audio intro: Vampire Weekend, “Obvious Bicycle”
Audio outro: AC/DC, “Big Balls”
Link to study on chance in the playoffs
Link to Ginny Searle on the Dodgers
Link to Maris Jr. quote
Link to Ben on the PED era
Link to Rob Arthur on PED HR outliers
Link to Lamont video
Link to Connecticut baseball divide
Link to Correa video
Link to Correa quote text
Link to Russell on Molina
Link to Edwards on Molina
Link to TLR report
Link to Hill report
Link to EW emails database
Link to “last strike” EW wiki page
Link to GJ Rockies renaming report
Link to GJ Chubs EW wiki page
Link to pit clock EW wiki page
Link to 1910 story source
Link to cork ball source
Link to Jacob Pomrenke’s website
Link to Jacob Pomrenke on Twitter
Link to Ohtani game story
Link to Sheehan on middling teams
Link to Lasagna story
Sponsor Us on Patreon
Subscribe to Stathead (Code: WILD20)
Facebook Group
Twitter Account
EW Subreddit
Effectively Wild Wiki
iTunes Feed (Please rate and review us!)
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.