Quantitude

Greg Hancock & Patrick Curran
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10 snips
Nov 18, 2025 • 41min

S7E09 Modeling Categorical Change with Latent Transition Analysis

Discover the intriguing concept of latent transition analysis, a method that tracks changes in class membership over time. The hosts humorously dive into identity crises, faculty meeting archetypes, and the fine line between Pepsi and Coke. They explore the complexities of mixture models, discussing how to manage transitions and interpret probabilities. With anecdotes that lighten the mood, they consider the consequences of adding predictors and the importance of theoretical grounding in choosing models. Get ready for a mix of education and entertainment!
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35 snips
Nov 11, 2025 • 45min

S7E08 Bootstrapping

Dive into the fascinating world of the empirical bootstrap! Discover how this method addresses the challenges of inferential testing and the importance of sample representativeness. Hear stories about the awe of a 747 and midnight in Bangkok while tackling serious concepts like non-normal distributions and bootstrapping correlations. Explore the pros and cons of this powerful technique, from its application in mediation to its limitations. There's humor and insight, making complex statistics both entertaining and accessible!
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10 snips
Nov 4, 2025 • 40min

S7E07 Is the SAT Biased and Should be Banned? Maybe...

Greg and Patrick dive into the contentious topic of the SAT, questioning its bias and whether it should be banned. They share personal stories and explore the test’s purpose, discussing how it reflects broader societal inequities. Definitions of psychometric bias and cultural influences on test items illustrate the complexities involved. The hosts propose that the SAT may be a thermometer for inequality. They consider the implications of banning the test and the questions that must be answered before making such a decision.
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14 snips
Oct 21, 2025 • 47min

S7E06 Non-Academic Jobs: A Conversation with Jeremy Miles

In this discussion, Jeremy Miles, a quantitative methodologist with experience in both academia and industry, shares insights on transitioning to non-academic careers. He reveals the intriguing variations between academic precision and industry speed, emphasizing the importance of practical problem-solving. Jeremy also highlights his work in trust and safety on video platforms and the challenges of data reliability. With anecdotes about Formula One and workplace culture, he offers a candid look at what drives satisfaction in data-driven roles while debunking common industry myths.
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41 snips
Oct 14, 2025 • 39min

S7E05 The Academic Job Talk

As the academic job season approaches, the hosts share invaluable insights about the job talk. They highlight the importance of making a strong first impression while avoiding common pitfalls. Listeners hear hilarious horror stories from talks gone wrong, alongside practical advice on customizing content for diverse audiences. Gold nuggets like referencing colleagues’ work and managing time effectively are emphasized. With humor and wisdom, they remind candidates to balance seriousness with enjoyment, all while preparing to showcase their authentic selves.
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13 snips
Oct 7, 2025 • 34min

S7E04 Does Birth Order Matter? Maybe...

This episode dives into the intriguing debate over whether birth order shapes our personalities. The hosts share personal sibling stories and explore popular birth-order stereotypes. They discuss research suggesting firstborns have advantages, questioning the validity of such claims. With a focus on personality and the complexities of measuring outcomes, they highlight the need for robust studies. Listener contributions add humor, showcasing the dynamic of sibling relationships. Are we truly defined by our place in the family? Tune in to find out!
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30 snips
Sep 23, 2025 • 39min

S7E03 Nonparametric Procedures

Explore the fascinating world of non-parametric statistical tests with insightful discussions on their strengths and applications. From science fairs to spaghetti bridges, the hosts weave in humor and anecdotes. Discover the practical uses of Mann–Whitney, Kruskal-Wallis, and Spearman rank correlation. Plus, enjoy quirky tangents like jazz hamsters and the Bernoulli Principle. Delve into why these methods are often overlooked and get a sneak peek into the power of bootstrapping!
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28 snips
Sep 16, 2025 • 35min

S7E02 Is NPR Liberally Biased? Maybe...

Dive into a lively exploration of National Public Radio's alleged liberal bias, as the hosts tackle the complexities of media measurement and storytelling. They emphasize the importance of diverse narratives and how personal preferences influence views on government funding. With humor and critical analysis, the discussion encourages sharp thinking amid societal perceptions of bias. Listeners are invited to enjoy this unique take while embracing the quirks of tax allocations and government spending.
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37 snips
Sep 9, 2025 • 37min

S7E01 The Seven Year Itch

The hosts debate if the number seven is lucky or unlucky, sharing quirky anecdotes along the way. They delve into the 'seven-year itch' in relationships, offering playful tips to keep love alive. A humorous discussion arises about writing and the challenges of creating a book. The significance of the number seven in culture pops up with references to pop culture and personal milestones. They also explore new formats for engagement and the importance of understanding information quantitatively, blending laughter with insightful commentary.
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May 20, 2025 • 57min

S6E21 Quantitude: How the Sausage is Made

Uncover the secrets behind podcast production as the hosts share their personal joys and challenges. Dive into the evolution of listener engagement and the fascinating history of pirate radio. Explore the delicate balance between humor and education in crafting engaging content. Laugh along as they discuss the quirks of editing and the creative process behind polishing episodes. Celebrate the triumphs and challenges of the podcasting journey, including a meaningful merchandise initiative that gives back to schools in need.

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