Effectively Wild Episode 1638: How Kim Ng Broke into Baseball
Ben Lindbergh and Meg Rowley banter about the official retirement of Phil Hughes, the joy of anticipating top prospects and watching them debut, the sobering reality of players their age starting to retire, a report that the 2021 season is likely to start on time, and a control group for their minor league free agent draft, then (31:40) talk to former Dodgers general manager Dan Evans about how he hired new Marlins GM Kim Ng when he worked for the White Sox and Dodgers, how she distinguished herself as an intern and gained greater responsibility, how to stand out in an MLB front office, why Ng had to wait so long for a GM job, how teams can diversify front offices and ensure that more minority candidates are promoted into positions of power, how the GM role has changed, and how Ng will run the Marlins.
Audio intro: The Who, "1921"
Audio interstitial: Mates of State, "A Control Group"
Audio outro: Courtney Barnett, "Kim’s Caravan"
Link to Hughes’ retirement announcement
Link to video of Hughes’ 2007 debut
Link to 2007 BP top prospect list
Link to Andy McCullough on Hughes’ second career
Link to study on top-prospect production
Link to Jon Tayler on Strasburg’s debut
Link to The Athletic report on the 2021 season
Link to minor league free agent draft results
Link to EW interview with Jen Wolf
Link to Dan’s Sports Management Worldwide page
Link to Dan on Kim Ng
Link to Lindsey Adler on Kim Ng
Link to Olivia Witherite on Kim Ng
Link to Marc Carig on Kim Ng
Link to Jen Mac Ramos on Kim Ng
Link to Jake Mailhot on Kim Ng
Link to Rachael McDaniel on Kim Ng
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.