Effectively Wild Episode 1721: Forget it, Jake. It’s Chi-Town.
Ben Lindbergh and Meg Rowley banter about the conditions David Fletcher has faced during his hitting streak compared to those Joe DiMaggio faced, follow up on a discussion of baseball in a multiverse scenario, discuss the difficulty of extending (or trading) Byron Buxton, mention a quest to collect Willians Astudillo cards, puzzle over the stagnation of former top prospect Nomar Mazara, and marvel at Padres rookie reliever Daniel Camarena’s improbable grand slam. Then (32:53) they talk to Jake Mintz of Cespedes Family BBQ about his All-Star week experience, his upcoming baseball bike ride from New York City to Chicago, the teams he’ll see along the way, his fateful bet about the White Sox not hiring Tony La Russa, how La Russa has handled the job in Chicago, the challenge of gauging how effective any manager is, Jake’s friendship with Jordan Shusterman, and more.
Audio intro: Billy Bragg & Wilco, "Joe DiMaggio Done it Again"
Audio interstitial: 2nd Grade, "My Bike"
Audio outro: The Dukes of Stratosphear, "Bike Ride to the Moon"
Link to Stats about DiMaggio’s streak
Link to story about official scorers and DiMaggio
Link to list of pitchers Fletcher faced
Link to Larry Niven story
Link to Buxton extension story
Link to Astudillo card collector
Link to Wallach card blog
Link to Sam on the Wallach card collector
Link to one million Cubs cards account
Link to 2019 Mazara moonshot
Link to Camarena homer
Link to Camarena backstory
Link to Camarena high-school stats
Link to story about Duggleby
Link to Andy McCullough on La Russa
Link to 2014 Cespedes BBQ road trip
Link to Jake’s 2021 trip website
Link to Lost Boyz Inc.
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.